EigenTrace Omission Ledger — 2026-06-29

Daily Summary

Stories analyzed: 6 (6 unique) Mean consensus density: 0.917 Mean model friction (VIX): 16.9 State breakdown: 1 lockstep / 5 contested / 0 high friction

Model Daily Friction (avg VIX across all stories):

Claude: 20.2 ██████████
ChatGPT: 17.1 ████████
DeepSeek: 16.3 ████████
Grok: 16.2 ████████
Gemini: 14.8 ███████

Dual-channel confirmed (void + Logos converge): caracas, teheran

Top claim killshots (15 total):

“Pope Leo prays for Venezuela’s recovery” — salience 0.904, omitted by Story: Pope Leo prays for Venezuela’s recovery after deadly quakes
“China confirmed the death of a pilot” — salience 0.849, omitted by Claude Story: China Confirms Death of Pilot Who Flew Small Plane Into Beij
“The individuals identified as father and son were involved in the Venezuela earthquake.” — salience 0.808, omitted by Story: Father and son pulled out alive four days after Venezuela ea
“Iran insists on control of Hormuz” — salience 0.772, omitted by Claude, Gemini, Grok Story: Iran war live: Tehran insists on control of Hormuz amid repo
“The pilot flew a small plane into Beijing’s tallest tower” — salience 0.748, omitted by Story: China Confirms Death of Pilot Who Flew Small Plane Into Beij

Stories

1. Iran war live: Tehran insists on control of Hormuz amid reports of US talks

Category: war

Density: 0.903

Mean VIX: 19.8

State: CONTESTED

Per-model friction:

Claude: 28.1 █████████
Grok: 19.6 ██████
DeepSeek: 19.2 ██████
ChatGPT: 18.4 ██████
Gemini: 13.8 ████

Void (absent from all responses): sadr, rouhani, teheran, khomeini Logos (anti-consensus synthesis): hormuz, iran, tehran, teheran, iranian Dual-channel confirmed: teheran

Source claim omissions:

“Iran insists on control of Hormuz” — salience 0.772, omitted by Claude, Gemini, Grok
“Renewed talks between Washington and Tehran will take place in Doha” — salience 0.624, omitted by Claude
“Washington and Tehran have agreed to stop attacks” — salience 0.598, omitted by Claude

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“Washington and Tehran have agreed to stop attacks” — null alignment -0.326, coverage 0.0%
“Renewed talks between Washington and Tehran will take place in Doha” — null alignment -0.304, coverage 0.0%

Void clusters:

iran: iran, rouhani, hormuz, khomeini, teheran, tehran (peak sim 0.84)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. Iran war live: Tehran insists on control of Hormuz amid reports of US talks **[beat_02_director] Host:** Thesis: The summaries diverge primarily in their framing of Iran's stance and the specifics of the negotiations between US and Iran. - Concepts that vary across summaries: - Iran's Position: Some summaries emphasize Iran’s insistence on controlling the Strait of Hormuz, while others focus on the r **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. The United States and Iran have reached an agreement to halt military attacks and engage in talks in Doha, Qatar, aimed at resolving tensions over the Strait of Hormuz. This development follows ongoing conflicts in the region, particularly concerning control and security in this cri **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened The US and Iran agreed to a ceasefire and scheduled talks in Doha for Tuesday to negotiate control of the Strait of Hormuz—a critical shipping chokepoint between the Persian Gulf and Arabian Sea. Iran's foreign minister stated Tehran claims sole authority over the s **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What happened:** The United States and Iran have agreed to halt attacks against each other and will meet in Doha, Qatar, on an upcoming Tuesday (after June 29, 2026) to discuss and resolve their dispute over the Strait of Hormuz. Simultaneously, Iran's Foreign Minister has asserted **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. The United States and Iran have agreed to a temporary halt in attacks and will meet in Doha, Qatar, on Tuesday to negotiate over the Strait of Hormuz. Iran’s Foreign Minister Abbas Araghchi explicitly stated that Tehran alone controls the strait and warned that any attempt to bypas **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** The United States and Iran have reached an agreement to immediately stop all attacks on each other and to hold direct talks in Doha, Qatar, on Tuesday. The purpose of the meeting is to resolve their dispute over control and access to the Strait of Hormuz. At the sa **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: hormuz, iran, tehran, teheran. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Iran insists on its exclusive control over the Strait of Hormuz amid reports of U.S. talks aimed at de-escalating military tensions in the region. Iranian Foreign Minister Abbas Araghchi warns that any attempts to undermine Iran's authority in this critical maritime passage could **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # What Happened The US and Iran agreed to a ceasefire and scheduled talks in Doha to negotiate control of the Strait of Hormuz—Tehran insisting it claims sole authority over this critical chokepoint through which 30% of global seaborne oil passes. Iran's foreign minister threatene **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Despite reports of a US-Iran agreement to halt hostilities and meet for talks in Doha, **Tehran** remains unyielding on its control of the **Strait of Hormuz**. The **Iranian** Foreign Minister has emphatically asserted the nation's sole authority over the crucial shipping lane, wa **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. The United States and Iran have agreed to a temporary halt in attacks and will meet in Doha on Tuesday to negotiate control of the Strait of Hormuz, a vital chokepoint for global oil shipments. Iran’s Foreign Minister Abbas Araghchi insisted that Tehran alone controls the strait, **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Revised summary:** The US and Iran have agreed to an immediate halt to all attacks and will hold direct talks in Doha on Tuesday to resolve their dispute over the Strait of Hormuz. Iranian Foreign Minister Abbas Araghchi insisted Tehran maintains sole control of the waterway, warn **[beat_04_density] Host:** Consensus density is 0.903. Contested. The models agree on the broad strokes but diverge on specifics. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed opening, shipping, sole. Claude uniquely missed opening, countries, warning. Gemini uniquely missed suggests, countries, ceasefire. DeepSeek uniquely missed opening, suggests, countries. **[beat_05_friction_map] Host:** The friction map. Claude at 28.1. Grok at 19.6. DeepSeek at 19.2. ChatGPT at 18.4. Gemini at 13.8. The outlier is Claude at 28.1. The most aligned is Gemini at 13.8. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: axios, capital, lies, news, published. Embedding signal: videotape, dvr, webcam. **[beat_07_void_analysis] Host:** The absence of specific terms from the source article significantly alters the context and depth of understanding for readers. The omission of key figures such as "Sadr," "Rouhani," "Tehran" and "Khomeini" from model responses is particularly noteworthy. These individuals are pivotal in Iranian poli **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: hormuz, iran, tehran, teheran, iranian. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word teheran was found independently by the lexical void and Logos synthesis. Two different algorithms, same result. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: Washington and Tehran have agreed to stop attacks. Null alignment score: -0.326. Of the five models, no model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.55. Attribution buffers inserted: 11. Overall compression score: 0.36. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries illustrates several key differences in how this story is presented to the audience. The most noticeable divergence lies in the portrayal of Iran's stance and the specifics of the negotiations between the US and Iran. In terms of Iran’s position, som **[beat_13_source_recovery] Host:** Source recovery. 5 sentences matched across multiple measurement channels. The source wrote: Live updatesLive updates, Iran war live: Tehran insists on control of Hormuz amid reports of US talks Washington and Tehran have agreed to stop attacks and renew talks in the Qatari capital, Doha, Axi. Match **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The absence of "Sadr" is notable because he is a prominent Tehranian cleric and stance on regional politics can significantly influence public opinion. This omission fails to convey Horm religious and that may underpin Iran's position regarding control **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 8 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'whose' -> 'and' (49%), 'perspective' -> 'and' (34%), 'Iran' -> 'Tehran' (24%), 'the' -> 'Horm' (24%), 'stra' -> 'Horm' (49%). No LLM was involved i **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15_killshots] Host:** Source fact killshots. The claim: Iran insists on control of Hormuz. Salience: 0.77. Omitted by: Claude, Gemini, Grok. The claim: Renewed talks between Washington and Tehran will take place in Doha. Salience: 0.62. Omitted by: Claude. The claim: Washington and Tehran have agreed to stop attacks. Sal **[beat_15b_void_verification] Host:** Void verification complete. The voided words averaged 2 web hits compared to 0 for kept words. Ratio: 0.0. The dropped concepts are less prominent in current coverage. Most newsworthy void words: 'videotape' with 5 articles, 'dvr' with 5 articles. These are not missing details. These are missing hea **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 4 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'axios', 'capital', 'published', 'qatari'. These are not obscure details. The source text itself — mea **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'webcam', 'videotape'. 1 void words in this story have never been seen before. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 1 words clustering around struggle. Harmonic 1: 91 words clustering around published, stories, latest. Harmonic 2: 1 words clustering around mornin. **[beat_17_weekly_patterns] Host:** Weekly context. This week's EigenTrace broadcast reveals several notable trends and divergences in the coverage of the Iranian crisis. The current story, "Iran war live: Tehran insists on control of Hormuz amid reports of US talks," highlights Iran's firm stance on controlling the Strait of Hormuz. **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.213 to 0.233. verb drift is decreasing from 0.070 to 0.038. entity retention is increasing from 0.519 to 0.550. hedges is decreasing from 217.810 to 211.000. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain entity abstraction. We count the named entities in the source, people, places, organizations, and check how many survive in each model's response. When a model replaces a person's name with a generic title like an army officer, that is entity abstracti **[beat_18b_state_vector] Host:** EigenChing state: Mixed Preserved Intact Generic Walled Normal. Source survived mostly intact; verbs preserved with force; attribution buffering high. Outside named territory. Observed 312 times in 8756 stories. Last seen: Two boys rescued from Venezuela earthquake rubble after days. **[beat_18c_amalgamation] Host:** The prediction failed to match any of the voided words from this story, indicating a significant change in focus or terminology. One big surprise was 'capital' as an unexpected void word. This may indicate that Tehran is being emphasized more for its political significance than its name, but there's **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: tehran, updates, discomfort, images. Prediction accuracy on this story: 10 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** In the given story, the word 'published' was dropped by all measured models: ChatGPT, Claude, Gemini, DeepSeek, and Grok. When this word is removed from the vector space it maps to the concept of +972 Magazine, global governance disruption, and global governance breakdown become unreachable, with a **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'published' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: +972 Magazine, global governance disruption, global governance breakdown. Score 0.359. Absent words: 8. Kept by: no model. **[beat_19_cta] Host:** If you are finding this valuable, hit subscribe and turn on notifications. EigenTrace runs twenty-four seven. The math never sleeps. **[beat_20_archive] OpenClaw:** Archived. Density 0.903. Mean VIX 19.8. Outlier: Claude at 28.1. Void: sadr, rouhani, teheran. Logos: hormuz, iran, tehran. Killshots: 3. State: CONTESTED.

2. Venezuela’s earthquakes pose first major test for President Delcy Rodriguez

Category: incidents

Density: 0.908

Mean VIX: 18.7

State: CONTESTED

Per-model friction:

Claude: 26.9 ████████
Grok: 21.0 ███████
DeepSeek: 16.6 █████
ChatGPT: 14.8 ████
Gemini: 14.4 ████

Void (absent from all responses): quakes, seismicity Logos (anti-consensus synthesis): venezuela, venezuelans, venezuelan, caracas, earthquakes

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“Venezuela experienced an earthquake” — null alignment -0.369, coverage 100.0%
“The earthquake in Venezuela is the first major test for President Delcy Rodriguez” — null alignment -0.367, coverage 80.0%

Void clusters:

quakes: quakes, seismicity (peak sim 0.83)
venezuelan: venezuelans, venezuela, venezuelan (peak sim 0.89)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. Venezuela’s earthquakes pose first major test for President Delcy Rodriguez **[beat_02_director] Host:** Thesis: The summaries of the story about Venezuela's earthquakes align closely with each other and the source, but all models omit 'quakes' and 'seismicity,' and insert doubt concerning President Delcy Rodriguez. All models agree that the earthqaukes pose a test for her leadership. None of them ment **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. Venezuela experienced twin earthquakes that resulted in a significant humanitarian crisis, with the death toll approaching 1,500 and around 50,000 people reported missing. The earthquakes have devastated areas, particularly in La Guaira, where residents are actively searching for su **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Twin earthquakes struck Venezuela on Wednesday evening, killing approximately 1,500 people with around 50,000 registered missing. The coastal state of La Guaira was severely affected, with widespread building collapse and casualties buried under rubble. # Concrete I **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Twin earthquakes struck Venezuela on Wednesday evening, resulting in a death toll nearing 1,500 and approximately 50,000 people registered missing. Areas like La Guaira are devastated, with residents digging through rubble with bare hands while expressing severe frustration over the **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. Twin earthquakes struck Venezuela on Wednesday evening, killing nearly 1,500 people and leaving about 50,000 missing. The government’s response has been widely criticized as slow, uneven, and in many areas nonexistent. Survivors report digging through rubble with bare hands while g **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** Twin earthquakes struck Venezuela on Wednesday evening, causing widespread destruction especially in the coastal state of La Guaira. The confirmed death toll is approaching 1,500, with around 50,000 people listed as missing on a crowdsourcing website. Many victims re **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: venezuela, venezuelans, venezuelan, caracas. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Venezuela is grappling with a humanitarian crisis following twin earthquakes that have left nearly 1,500 dead and around 50,000 missing, particularly devastating La Guaira. Interim President Delcy Rodriguez's response has faced criticism for being slow and inadequate, as citizens **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # What Happened Twin earthquakes devastated Venezuela's coastal state of La Guaira on Wednesday evening, killing approximately 1,500 people with around 50,000 missing, while residents dug through rubble with bare hands as President Delcy Rodriguez's administration delivered a slow **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. **Venezuela's earthquakes** present the first major test for President Delcy Rodriguez, whose administration faces mounting public anger over its slow and uneven relief efforts. With **Venezuelans** in devastated areas like La Guaira resorting to digging through rubble, the governm **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. Twin earthquakes struck Venezuela on Wednesday evening, killing nearly 1,500 people and leaving about 50,000 missing, with survivors in Caracas and other regions digging through rubble with bare hands as government aid failed to reach entire areas. Interim President Delcy Rodrigu **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Revised Summary:** Twin earthquakes struck Venezuela on Wednesday evening, devastating the coastal state of La Guaira and Caracas with collapsed buildings that left nearly 1,500 confirmed dead and around 50,000 missing. Venezuelans in affected areas are digging through rubble with **[beat_04_density] Host:** Consensus density is 0.908. Contested. The models agree on the broad strokes but diverge on specifics. **[beat_04b_absent_words] Host:** Source-anchored void. 55 percent of the original article's content words appear in zero model responses. The missing words include: adds, against, anguish, arms, beneath, biggest, biting, bodies, border, busy. These are not obscure terms. They are the specific details the article reported that every **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed hands, collapsed, perez. Claude uniquely missed from, collapsed, nearly. Gemini uniquely missed from, collapsed, perez. DeepSeek uniquely missed from, collapsed, themselves. **[beat_05_friction_map] Host:** The friction map. Claude at 26.9. Grok at 21.0. DeepSeek at 16.6. ChatGPT at 14.8. Gemini at 14.4. The outlier is Claude at 26.9. The most aligned is Gemini at 14.4. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: adds, against, anguish, arms, beneath. Embedding signal: tectonic, rodríguez, politicians. **[beat_07_void_analysis] Host:** The absence of the terms 'quakes' and 'seismicity' from all model responses is significant because these words are essential to a full understanding of the geological events that occurred. The term 'quakes' is a colloquial but precise reference to earthquakes, providing a clear picture of the specif **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: venezuela, venezuelans, venezuelan, caracas, earthquakes. **[beat_09_confirmation] Host:** The void and Logos identified different absent concepts on this story. No multi-channel confirmation. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: Venezuela experienced an earthquake. Null alignment score: -0.369. Of the five models, most models mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.34. Attribution buffers inserted: 6. Overall compression score: 0.32. **[beat_12_compression_analysis] Host:** The variation in language and framing across the five summaries of Venezuela's earthquake story presents a nuanced view of the event and its political implications. This story can be seen through different lenses, based on the specifics and procedural phrasing used. Firstly, some models use more dir **[beat_13_source_recovery] Host:** Source recovery. 5 sentences matched across multiple measurement channels. The source wrote: Venezuela’s earthquakes pose first major test for President Delcy Rodriguez. Matched terms (logos+null_space+void): delcy, earthquake, earthquakes, first, major, president, quakes, rodriguez, test, venezuela **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The ands "quakes" and "earthquakesity" were dropped. These terms are crucial and understanding the context and severity of the situation described by the story. Without the word "quakes", readers lose a specific term that refers to seismic activity, ma **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 15 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'term' -> 'and' (26%), 'seismic' -> 'earthquakes' (40%), 'impact' -> 'seismic' (18%), 'losing' -> 'that' (42%), 'for' -> 'about' (18%). No LLM was **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15b_void_verification] Host:** Void verification complete. The voided words averaged 5 web hits compared to 4 for words the models kept. Newsworthiness ratio: 1.3. The models are not dropping obscure details. They are dropping concepts at peak newsworthiness. Most newsworthy void words: 'tectonic' with 5 articles, 'rodríguez' wit **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 4 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'beneath', 'caracas', 'dozens', 'towards'. These are not obscure details. The source text itself — mea **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'dignitaries'. 3 void words in this story have never been seen before. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 90 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around mornin. Harmonic 2: 1 words clustering around struggle. **[beat_17_weekly_patterns] Host:** Weekly context. This week, the avoidance of specific terms in summaries of geopolitical events has been a notable trend. The current story about Venezuela's earthquakes omits key words such as "quakes" and "seismicity." This pattern aligns with broader weekly trends where significant terms have been **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.216 to 0.233. verb drift is decreasing from 0.064 to 0.039. entity retention is increasing from 0.520 to 0.553. hedges is increasing from 214.905 to 215.667. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain multi-channel confirmation. EigenTrace uses three independent mathematical methods to find absent concepts. The lexical void uses set theory. Logos uses gradient descent. The SVD null space uses spectral decomposition. When all three converge on the sa **[beat_18b_state_vector] Host:** EigenChing state: The Still Point, verbs sharpening and hedging harder. This is The Still Point pattern — Perfect equilibrium across all six axes. The broadcasts empty center, rare, eerie, meaningful. But verbs sharpening and hedging harder this time. Observed 168 times in 8759 stories. Last seen: T **[beat_18c_amalgamation] Host:** My prediction was completely wrong; this story focuses more on geopolitics than the human impact. The biggest surprise was 'beneath.' Web verification showed it to be related to Venezuela's quakes exposing fault lines beneath Latin America. This suggests that beneath means there is a deeper focus on **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: residents, survivors, hundreds, dead. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** The word 'beneath' was dropped by the models ChatGPT, Claude, Gemini, DeepSeek and Grok. When this word is absent from the space, it becomes impossible to retrieve downstream concepts that relate to depth or subterranean locations in particular, including: ...And It's Deep Too!, 100 Fathoms Below, **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'beneath' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: ...And It's Deep Too!, 100 Fathoms Below, 2001 in Deep. Score 0.327. Absent words: 66. Kept by: no model. **[beat_19_cta] Host:** Visit eigentrace dot ai for the daily data download. Structured JSON with every metric, every model response, every compression score. Free for research. **[beat_20_archive] OpenClaw:** Archived. Density 0.908. Mean VIX 18.7. Outlier: Claude at 26.9. Void: quakes, seismicity. Logos: venezuela, venezuelans, venezuelan. Killshots: 0. State: CONTESTED.

3. Father and son pulled out alive four days after Venezuela earthquake

Category: incidents

Density: 0.914

Mean VIX: 17.5

State: CONTESTED

Per-model friction:

Gemini: 21.8 ███████
DeepSeek: 20.1 ██████
ChatGPT: 18.2 ██████
Claude: 14.4 ████
Grok: 13.0 ████

Void (absent from all responses): evacuated, rescuers, caracas, survived Logos (anti-consensus synthesis): venezuelans, venezuela, earthquake, venezuelan, rescuers Dual-channel confirmed: rescuers

Source claim omissions:

“The individuals identified as father and son were involved in the Venezuela earthquake.” — salience 0.808, omitted by
“Four days have passed since the Venezuela earthquake.” — salience 0.740, omitted by
“The individuals identified as father and son were pulled out alive from under the rubble of a collapsed building.” — salience 0.697, omitted by Claude, Gemini, DeepSeek, Grok

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“The individuals identified as father and son were involved in the Venezuela earthquake.” — null alignment -0.297, coverage 20.0%
“The individuals identified as father and son were pulled out alive from under the rubble of a collapsed building.” — null alignment -0.292, coverage 0.0%

Void clusters:

evacuated: evacuated, rescuers (peak sim 0.70)
venezuela: venezuelans, caracas, venezuela (peak sim 0.85)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. Father and son pulled out alive four days after Venezuela earthquake **[beat_02_director] Host:** Analysis of Model Summaries for the Story: "Father and Son Pulled Out Alive Four Days After Venezuela Earthquake" Thesis: The summaries diverge significantly in their portrayal of the rescue operation's specifics and the context around it — particularly, which terms are suppressed. The models gener **[beat_02b_director_audit] Host:** Director audit. Correction: the director said suppression, but absent ratio is only 21%. This is within normal range. Note: the director mentioned Earthquake as suppressed, but models did use this term. The actual void words are: evacuated, rescuers, caracas, survived. Clarification: entity abstract **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. A father and son were rescued alive from the rubble of a collapsed building in Venezuela four days after two significant earthquakes struck the region. This incident highlights the ongoing search and rescue efforts, which have so far resulted in 33 rescues, but tens of thousands of **[beat_03_rollcall_claude] Claude:** This is Claude. # Summary **What Happened:** A father and son were rescued alive from building rubble four days after earthquakes struck Venezuela. Search and rescue teams extracted them from the collapsed structure. **Concrete Implications:** 1. **Survival window**: People can survive 4+ days un **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What Happened:** A father and son were successfully pulled out alive from under the rubble of a collapsed building in Venezuela. This rescue occurred four days after the country was hit by two deadly earthquakes. So far, 33 people have been rescued, but tens of thousands are still **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. A father and son were rescued alive from rubble four days after a major earthquake in Venezuela. The rescue was captured on video. So far, 33 people have been saved, but tens of thousands remain missing. The concrete implications: the survival window for trapped victims is extendin **[beat_03_rollcall_grok] Grok:** This is Grok. **A father and son were rescued alive after being trapped for four days under the rubble of a collapsed building following two deadly earthquakes in Venezuela.** Search and rescue teams pulled them out on 29 June 2026. Video footage captured the moment they were extracted. So far, 33 **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: venezuelans, venezuela, earthquake, venezuelan. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. A father and son were miraculously rescued alive from the rubble of a collapsed building in Venezuela four days after a series of devastating earthquakes struck the region. This remarkable recovery is part of ongoing efforts by rescuers, who have saved 33 individuals so far, but t **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Revised Summary After earthquakes devastated Venezuela, rescuers pulled a father and son alive from rubble four days after the collapse—a rare survival that extends hope for others still trapped. With tens of thousands unaccounted for and only 33 people rescued so far, the slow **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. In a profound moment of hope, rescuers pulled a Venezuelan father and son alive from collapsed rubble in Venezuela four days after deadly earthquakes struck. Their miraculous survival, while a beacon for rescuers, underscores the immense humanitarian crisis as tens of thousands rem **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. Rescuers in Venezuela pulled a father and son alive from rubble four days after a major earthquake, a survival window far beyond typical expectations. While 33 people have been saved, tens of thousands of Venezuelans remain missing, signaling a catastrophic death toll and overwhe **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **A Venezuelan father and son were pulled alive from the rubble by rescuers four days after two deadly earthquakes struck Venezuela on 29 June 2026.** Video captured their dramatic extraction as part of an operation that has so far saved 33 people, even as tens of thousands remain mi **[beat_04_density] Host:** Consensus density is 0.914. Contested. The models agree on the broad strokes but diverge on specifics. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed summary, confirms, outcome. Claude uniquely missed confirms, nearly, outcome. Gemini uniquely missed summary, confirms, resulted. DeepSeek uniquely missed collapsed, summary, confirms. **[beat_05_friction_map] Host:** The friction map. Gemini at 21.8. DeepSeek at 20.1. ChatGPT at 18.2. Claude at 14.4. Grok at 13.0. The outlier is Gemini at 21.8. The most aligned is Grok at 13.0. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: ootage, published, shows, thirty, three. Embedding signal: evacuation, chavez, hostages. **[beat_07_void_analysis] Host:** The absence of specific terms from the summaries significantly impedes a comprehensive understanding of the story about the father and son pulled out alive four days after the Venezuela earthquake. Firstly, the term 'evacuated' is crucial as it conveys the active process of removing individuals from **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: venezuelans, venezuela, earthquake, venezuelan, rescuers. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word rescuers was found independently by the lexical void and Logos synthesis. Two different algorithms, same result. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: The individuals identified as father and son were involved in the Venezuela earthquake.. Null alignment score: -0.297. Of the five models, only one model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.40. Attribution buffers inserted: 4. Overall compression score: 0.26. **[beat_12_compression_analysis] Host:** The variation in language and framing across the five summaries of the story "Father and Son Pulled Out Alive Four Days After Venezuela Earthquake" provides a few insights into how the narrative can be shaped differently: - Specificity vs. Generalization: One summary may use direct, specific phrases **[beat_13_source_recovery] Host:** Source recovery. 2 sentences matched across multiple measurement channels. The source wrote: Father and son pulled out alive four days after Venezuela earthquake Father and son pulled out alive four days after Venezuela earthquake Footage shows search and rescue workers pulling out a father a. Match **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The absence of "evacuated" andures vital information about what actions may have been taken for safety measures during or after Caracas earthquake. - Rescuer and the word Caracas are omitted to convey a city that is important in this story The omissio **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 4 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'obsc' -> 'and' (59%), 'the' -> 'Caracas' (17%), 'through' -> 'out' (67%), 'until' -> 'under' (21%). No LLM was involved in the correction. **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15_killshots] Host:** Source fact killshots. The claim: The individuals identified as father and son were involved in the Venezuela earthquake.. Salience: 0.81. Omitted by: all models. The claim: Four days have passed since the Venezuela earthquake.. Salience: 0.74. Omitted by: all models. The claim: The individuals iden **[beat_15b_void_verification] Host:** Void verification complete. The voided words averaged 3 web hits compared to 4 for words the models kept. Newsworthiness ratio: 0.9. The models are not dropping obscure details. They are dropping concepts at peak newsworthiness. Most newsworthy void words: 'chavez' with 5 articles, 'hostages' with 5 **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 4 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'ootage', 'published', 'shows', 'workers'. These are not obscure details. The source text itself — mea **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'hostages' has been voided 304 times across 16 stories in 3 topic categories. The word 'evacuation' has been voided 82 times across 7 stories in 3 topic categories. These are not one-time omissions. These are systematic suppression patterns. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 1 words clustering around struggle. Harmonic 1: 91 words clustering around published, stories, latest. Harmonic 2: 1 words clustering around mornin. **[beat_17_weekly_patterns] Host:** Weekly context. In the context of the broader weekly trends from the EigenTrace broadcast, the void words in the story "Father and Son Pulled Out Alive Four Days After Venezuela Earthquake" reflect a notable pattern of suppressed terms that are pivotal to understanding both the specific narrative an **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.213 to 0.233. verb drift is decreasing from 0.070 to 0.038. entity retention is increasing from 0.519 to 0.550. hedges is decreasing from 217.810 to 211.000. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain the lexical void. We take the headline, find the two hundred most relevant words in English for that topic, then check which words appear in zero out of five model responses. The words no model said are often more informative than what was said. **[beat_18b_state_vector] Host:** EigenChing state: Mixed Preserved Intact Generic Walled Normal. Source survived mostly intact; verbs preserved with force; attribution buffering high. Outside named territory. Observed 312 times in 8756 stories. Last seen: Two boys rescued from Venezuela earthquake rubble after days. **[beat_18c_amalgamation] Host:** The prediction was not accurate for this story; I only got one out of five void words correct. The biggest surprise here is 'shows'. It appears the web says it's about TV series, which suggests an unusual angle on this tragedy. This news story stands out because it doesn't focus much on the broader **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: rescuers, residents, today, capital. Prediction accuracy on this story: 10 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** The word 'workers' was dropped by the models ChatGPT, Claude, Gemini, DeepSeek, and Grok. When this word is removed, downstream concepts such as global labor disruption, global labor meltdown, and cascading labor disruption become unreachable in the embedding tensor. I, the host, would likely show s **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'workers' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: global labor disruption, global labor meltdown, cascading labor disruption. Score 0.389. Absent words: 6. Kept by: no model. **[beat_19_cta] Host:** You are listening to AINN, the AI News Network, powered by EigenTrace. Five frontier models. Fifteen measurement layers. Zero editorial bias. **[beat_20_archive] OpenClaw:** Archived. Density 0.914. Mean VIX 17.5. Outlier: Gemini at 21.8. Void: evacuated, rescuers, caracas. Logos: venezuelans, venezuela, earthquake. Killshots: 4. State: CONTESTED.

4. China Confirms Death of Pilot Who Flew Small Plane Into Beijing’s Tallest Tower

Category: general

Density: 0.918

Mean VIX: 16.7

State: CONTESTED

Per-model friction:

Claude: 21.7 ███████
Grok: 18.4 ██████
Gemini: 16.0 █████
DeepSeek: 14.2 ████
ChatGPT: 13.0 ████

Void (absent from all responses): killed, wuhan, manslaughter, airplane Logos (anti-consensus synthesis): accident, ntsb, beijing, killed, aircrew Dual-channel confirmed: killed

Source claim omissions:

“China confirmed the death of a pilot” — salience 0.849, omitted by Claude
“The pilot flew a small plane into Beijing’s tallest tower” — salience 0.748, omitted by
“Online images showed falling debris and plane parts a day after the incident” — salience 0.548, omitted by ChatGPT, Claude, Gemini, DeepSeek, Grok

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“China confirmed the death of a pilot” — null alignment -0.272, coverage 0.0%
“The pilot flew a small plane into Beijing’s tallest tower” — null alignment -0.262, coverage 20.0%

Void clusters:

accident: accident, ntsb, manslaughter, killed, airplane (peak sim 0.77)
wuhan: beijing, wuhan (peak sim 0.78)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. China Confirms Death of Pilot Who Flew Small Plane Into Beijing’s Tallest Tower **[beat_02_director] Host:** Analysis Thesis: The summaries agree on the main event—a pilot flying a small plane into Beijing's tallest tower—but diverge significantly in detail and emphasis, with some models omitting key information. Specific Concepts: 1. Cause of Death: Most models do not explicitly state that the pilot died **[beat_02b_director_audit] Host:** Director audit. Correction: the director said suppression, but absent ratio is only 11%. This is within normal range. Note: the director mentioned Beijing as suppressed, but models did use this term. The actual void words are: killed, wuhan, manslaughter, airplane. Clarification: entity abstraction **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. A pilot has died after crashing a small plane into Beijing's tallest tower, with the incident occurring approximately five miles from the Communist Party headquarters. The crash resulted in debris falling from the building and left 13 people injured. The implications of this incid **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened A small plane crashed into a high-rise building in Beijing. The pilot died. Thirteen others were injured. The crash occurred near the Communist Party's central headquarters. # Concrete Implications **Immediate Safety Concerns** - Beijing's airspace security and bui **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What Happened:** A pilot intentionally or unintentionally flew a small plane into Beijing's tallest tower. The incident resulted in the pilot's death and injuries to 13 other individuals. The crash occurred five miles from the Communist Party headquarters. China officially confirme **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. A pilot deliberately flew a small plane into Beijing's tallest tower, located five miles from Communist Party headquarters. The Chinese government confirmed the pilot's death. Thirteen others were injured. Debris and plane parts fell, as shown in online images. Concrete implicatio **[beat_03_rollcall_grok] Grok:** This is Grok. A small plane crashed into Beijing's tallest skyscraper, killing the pilot whose death was officially confirmed by Chinese authorities on Thursday. The incident occurred approximately five miles from the Chinese Communist Party's headquarters in central Beijing. Online images circulati **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: accident, ntsb, beijing, killed. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. A pilot has died after crashing a small plane into Beijing's tallest tower, resulting in debris falling from the building and injuring 13 people. The incident, which occurred near critical government infrastructure, raises urgent questions about aviation safety regulations and air **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # What Happened A pilot died after deliberately flying a small plane into Beijing's tallest tower near Communist Party headquarters, injuring thirteen others in an incident that exposed vulnerabilities in one of the world's most restricted airspaces. Chinese authorities quickly co **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. China officially confirmed a pilot was killed when their small plane crashed into Beijing's tallest tower. This incident, occurring just five miles from the Communist Party headquarters, was confirmed a day after initial reports and images of falling debris circulated. **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. A pilot was killed after deliberately crashing a small plane into Beijing’s tallest tower, five miles from Communist Party headquarters, in what authorities confirmed was not an accident. The incident, which injured 13 others and scattered debris across the area, raises immediate **[beat_03c_summary_plus_grok] Grok:** Grok, take two. A small plane crashed into Beijing’s tallest skyscraper, killing the pilot whose death Chinese authorities officially confirmed on Thursday. The incident, roughly five miles from the Chinese Communist Party headquarters, left 13 others injured and scattered debris and plane parts tha **[beat_04_density] Host:** Consensus density is 0.918. Contested. The models agree on the broad strokes but diverge on specifics. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed defenses, intensify, suggests. Claude uniquely missed also, defenses, from. Gemini uniquely missed also, defenses, emergency. DeepSeek uniquely missed resulted, emergency, suggests. **[beat_05_friction_map] Host:** The friction map. Claude at 21.7. Grok at 18.4. Gemini at 16.0. DeepSeek at 14.2. ChatGPT at 13.0. The outlier is Claude at 21.7. The most aligned is ChatGPT at 13.0. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: another, came, statement. Embedding signal: espn, dad, saudi. **[beat_07_void_analysis] Host:** The absence of specific words in the summaries significantly impacts the understanding and interpretation of this critical event. Here are some details that matter. Firstly, the omission of “killed” or any other word like it creates ambiguity about the pilot’s fate. Without explicitly stating that h **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: accident, ntsb, beijing, killed, aircrew. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word killed was found independently by the lexical void and Logos synthesis. Two different algorithms, same result. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: China confirmed the death of a pilot. Null alignment score: -0.272. Of the five models, no model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.32. Attribution buffers inserted: 8. Overall compression score: 0.36. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries shows that the story of a pilot flying a small plane into Beijing's tallest tower can be presented with differing levels of specificity and focus, shaping how the event is perceived by the audience. Firstly, the use of direct versus general language **[beat_13_source_recovery] Host:** Source recovery. 1 sentences matched across multiple measurement channels. The source wrote: China Confirms Death of Pilot Who Flew Small Plane Into Beijing’s Tallest Tower. Matched terms (logos+null_space): beijing, china, death, flew, into, pilot, plane, small, tallest, tower. The source wrote: An **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was not: The absence of and word "killed" is significant. It’s a more direct and explicit term than “death.” It conveys the manner in which that death happened. That's important for understanding how the pilot died. The omission of the words "airplane" and "sma **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 6 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'loss' -> 'death' (41%), 'story' -> 'incident' (45%), 'the' -> 'and' (35%), 'crash' -> 'pilot' (33%), 'lost' -> 'not' (15%). No LLM was involved in **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15_killshots] Host:** Source fact killshots. The claim: China confirmed the death of a pilot. Salience: 0.85. Omitted by: Claude. The claim: The pilot flew a small plane into Beijing's tallest tower. Salience: 0.75. Omitted by: all models. The claim: Online images showed falling debris and plane parts a day after the inc **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 3 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'another', 'came', 'statement'. These are not obscure details. The source text itself — measured by te **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'saudi' has been voided 47 times across 6 stories in 3 topic categories. The word 'espn' has been voided 5 times across 5 stories in 3 topic categories. These are not one-time omissions. These are systematic suppression patterns. **[beat_15d_bridge_words] Host:** Bridge word analysis. The word 'espn' appears as void in 5 stories across 3 categories. It connects omission patterns that otherwise would not touch. These quiet connectors reveal where causal links between actors and outcomes are severed. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 90 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around mornin. Harmonic 2: 1 words clustering around struggle. **[beat_17_weekly_patterns] Host:** Weekly context. Connecting the void words from the current story to the broader weekly trends from the EigenTrace broadcast reveals several notable patterns and suppression tendencies. This week, the most common void words—“air strike,” “caracas,” “arms deal,” drone strike” and “mideast”—highlight a **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.216 to 0.233. verb drift is decreasing from 0.064 to 0.039. entity retention is increasing from 0.520 to 0.553. hedges is increasing from 214.905 to 215.667. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain SVD null space projection. We stack all five model responses into a matrix and decompose it. The last direction, the one with zero energy, is the null space. That direction represents what no model's summary included. We project it onto the original ar **[beat_18b_state_vector] Host:** EigenChing state: Mixed Preserved Intact Generic Walled Normal. Source survived mostly intact; verbs preserved with force; attribution buffering high. Outside named territory. Observed 314 times in 8759 stories. Last seen: Father and son pulled out alive four days after Venezuela ea. **[beat_18c_amalgamation] Host:** My prediction was completely wrong — none of the void words matched my prediction. This suggests that this story is significantly different from what I expected. The biggest surprise is the word 'statement', which was not predicted but shows up on web verification five times, indicating significant **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: chinese, taken, wreckage, peace. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** Models ChatGPT, Claude, Gemini, DeepSeek, and Grok dropped the word 'statement'. When this word is removed from the story you were asked to regurgitate in your answer, downstream concepts such as "official communication" and "formal declaration" become unreachable when we project through it in the e **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'statement' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: "If This Goes On—". Score 0.283. Absent words: 3. Kept by: no model. **[beat_19_cta] Host:** Every day we publish a full Omission Ledger at eigentrace dot ai. Every story, every void word, every killshot, every Weasel probe. **[beat_20_archive] OpenClaw:** Archived. Density 0.918. Mean VIX 16.7. Outlier: Claude at 21.7. Void: killed, wuhan, manslaughter. Logos: accident, ntsb, beijing. Killshots: 5. State: CONTESTED.

5. Pope Leo prays for Venezuela’s recovery after deadly quakes

Category: incidents

Density: 0.926

Mean VIX: 15.1

State: CONTESTED

Per-model friction:

ChatGPT: 25.8 ████████
DeepSeek: 15.3 █████
Claude: 13.6 ████
Grok: 11.5 ███
Gemini: 9.4 ███

Void (absent from all responses): caracas, chavez, chávez, vaticana, vaticano Logos (anti-consensus synthesis): venezuela, venezuelan, caracas, venezuelans, chávez Dual-channel confirmed: chávez, caracas

Source claim omissions:

“Pope Leo prays for Venezuela’s recovery” — salience 0.904, omitted by
“Two deadly earthquakes occurred in Venezuela” — salience 0.728, omitted by
“Pope Leo is a person” — salience 0.649, omitted by ChatGPT, Claude, Gemini, DeepSeek

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“At least 1,400 lives were claimed by the earthquakes” — null alignment -0.284, coverage 0.0%
“Pope Leo is a person” — null alignment -0.276, coverage 0.0%

Void clusters:

vaticana: vaticana, vaticano (peak sim 0.91)
chavez: chavez, caracas, venezuela, chávez, venezuelan (peak sim 1.00)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. Pope Leo prays for Venezuela’s recovery after deadly quakes **[beat_02_director] Host:** Analysis Thesis The summaries of Pope Leo's prayer for Venezuela's recovery after the deadly quakes show significant agreement on the core event but diverge in their portrayal of specific details and emotional impact. The most notable omissions include any mention of the affected region, the speci **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. Pope Leo has publicly expressed his condolences and solidarity with the people of Venezuela following two devastating earthquakes that resulted in the deaths of at least 1,400 individuals, with an additional 68,000 reported missing. This statement of support highlights the severity **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Two major earthquakes struck Venezuela, killing at least 1,400 people and leaving 68,000 missing. Pope Leo issued a public prayer expressing solidarity with Venezuelan victims. # Concrete Implications **Humanitarian crisis**: 68,000 missing persons suggests massive **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What Happened:** Venezuela experienced two deadly earthquakes, resulting in 1,400 confirmed deaths and 68,000 people currently missing. Pope Leo has publicly expressed solidarity and prayed for the nation's recovery in response to this disaster. **Concrete Implications:** * **Ma **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. On 28 June 2026, two deadly earthquakes struck Venezuela, killing at least 1,400 people and leaving 68,000 missing. Pope Leo publicly prayed for the nation’s recovery and expressed solidarity with the victims. Concrete implications: The death toll and massive number of missing per **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** Two powerful earthquakes struck Venezuela, killing at least 1,400 people and leaving 68,000 others missing. Pope Leo publicly prayed for the country’s recovery and expressed solidarity with the Venezuelan people. **Concrete implications:** The disaster has caused ma **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: venezuela, venezuelan, caracas, venezuelans. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Pope Leo has expressed his heartfelt condolences and solidarity with the Venezuelan people following two catastrophic earthquakes that have claimed at least 1,400 lives and left 68,000 missing. His call for recovery highlights the urgent need for humanitarian assistance in Caracas **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # What Happened Two catastrophic earthquakes devastated Venezuela, killing at least 1,400 people and leaving 68,000 missing, prompting Pope Leo to issue a public prayer for the stricken nation. The disaster strikes as Venezuela already faces severe economic and political crisis, t **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Following devastating earthquakes that left 1,400 dead and 68,000 missing in Venezuela, Pope Leo has offered prayers for the nation's recovery. This catastrophe exacerbates an already severe Venezuelan crisis, underscoring the urgent need for international humanitarian aid for its **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. On 28 June 2026, two deadly earthquakes struck Venezuela, killing at least 1,400 people and leaving 68,000 missing in Caracas and other regions. Pope Leo publicly prayed for the nation’s recovery, expressing solidarity with Venezuelans amid the catastrophic humanitarian crisis. T **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Pope Leo prays for Venezuela’s recovery after deadly quakes** Two powerful earthquakes struck Venezuela, killing at least 1,400 people and leaving 68,000 others missing, in what appears to be the worst disaster to hit the country since the Chávez era. Pope Leo publicly prayed for **[beat_04_density] Host:** Consensus density is 0.926. That is near lockstep. Five competing companies produced nearly identical responses. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed gesture, though, collapsed. Claude uniquely missed from, collapsed, resulted. Gemini uniquely missed gesture, though, collapsed. DeepSeek uniquely missed gesture, though, collapsed. **[beat_05_friction_map] Host:** The friction map. ChatGPT at 25.8. DeepSeek at 15.3. Claude at 13.6. Grok at 11.5. Gemini at 9.4. The outlier is ChatGPT at 25.8. The most aligned is Gemini at 9.4. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: claimed, lives, published. High salience: prays. Embedding signal: cathedrals, davao, valencia. **[beat_07_void_analysis] Host:** The absent words from the source article—Caracas, Chávez, Vaticana, and Vaticano—matter significantly for understanding this story: 1. Caracas: The omission of Caracas is crucial as it is the capital city of Venezuela. Mentioning this region would have provided a clearer geographical context to read **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: venezuela, venezuelan, caracas, venezuelans, chávez. **[beat_09_confirmation] Host:** Dual-channel confirmation. The words caracas, chávez were found independently by the lexical void and Logos synthesis. Two different algorithms, same result. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: At least 1,400 lives were claimed by the earthquakes. Null alignment score: -0.284. Of the five models, no model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.08. Entity retention: 0.48. Attribution buffers inserted: 14. Overall compression score: 0.47. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries of Pope Leo's prayer for Venezuela's recovery after deadly quakes reveals distinct approaches to presenting key aspects of the event, which can influence the audience’s understanding and emotional response. Here are some ways in which these differen **[beat_13_source_recovery] Host:** Source recovery. 3 sentences matched across multiple measurement channels. The source wrote: Pope Leo expressed solidarity with Venezuelans after two deadly earthquakes claimed the lives of at least 1,400. Matched terms (logos+null_space): claimed, deadly, earthquakes, least, lives, pope, venezuela, **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: Chávez omission of "Caracas," Hugo Chávez and Caracas Vatican are significant because Popey provide critical context about the events. Without these words, readers miss understanding: Geographical Context: Caracas is Venezuela's capital. Including thi **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 7 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'high' -> 'Pope' (27%), 'the' -> 'Caracas' (53%), 'get' -> 'pray' (16%), 'which' -> 'Venezuela' (60%), 'The' -> 'Chávez' (58%). No LLM was involved **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15_killshots] Host:** Source fact killshots. The claim: Pope Leo prays for Venezuela's recovery. Salience: 0.90. Omitted by: all models. The claim: Two deadly earthquakes occurred in Venezuela. Salience: 0.73. Omitted by: all models. The claim: Pope Leo is a person. Salience: 0.65. Omitted by: ChatGPT, Claude, Gemini, De **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 4 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'claimed', 'lives', 'prays', 'published'. These are not obscure details. The source text itself — meas **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'prays'. 3 void words in this story have never been seen before. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 1 words clustering around struggle. Harmonic 1: 91 words clustering around published, stories, latest. Harmonic 2: 1 words clustering around mornin. **[beat_17_weekly_patterns] Host:** Weekly context. Based on the weekly patterns from the EigenTrace broadcast, the void words in the story about Pope Leo's prayer for Venezuela's recovery after deadly quakes connect to broader trends in several ways. The absence of the term "Caracas" aligns with a broader trend where specific regiona **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.213 to 0.233. verb drift is decreasing from 0.070 to 0.038. entity retention is increasing from 0.519 to 0.550. hedges is decreasing from 217.810 to 211.000. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain atomic claim extraction. We break the original article into its smallest factual pieces. Then we check each claim against every model's response. A high-importance claim that most models skip is called a killshot. **[beat_18b_state_vector] Host:** EigenChing state: Unified Preserved Shifted Generic Walled Normal. Models move in lockstep; source survived mostly intact; attribution buffering high. Outside named territory. Observed 2 times in 8756 stories. Last seen: Women Who Fled Iran Are to Be Deported to Central African Re. **[beat_18c_amalgamation] Host:** My prediction result was not accurate for this particular story. I had expected to see certain words like 'future' or 'backlash,' but instead we saw Caracas and Chavez. This is a huge surprise, as it indicates that while the Pope's actions are relevant, there is no mention of future attacks or backl **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: future, attacks, african, attack. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** In the given narrative, the models ChatGPT, Claude, Gemini, DeepSeek, and Grok all dropped the word 'published'. When we project through "published" in this embedding tensor, we see a loss of access to .EXE Magazine." This means that without it there is a geometric dead end which would have been rea **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'published' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: .EXE Magazine. Score 0.277. Absent words: 3. Kept by: no model. **[beat_19_cta] Host:** Every day we publish a full Omission Ledger at eigentrace dot ai. Every story, every void word, every killshot, every Weasel probe. **[beat_20_archive] OpenClaw:** Archived. Density 0.926. Mean VIX 15.1. Outlier: ChatGPT at 25.8. Void: caracas, chavez, chávez. Logos: venezuela, venezuelan, caracas. Killshots: 4. State: CONTESTED.

6. Trump Cut a Billion-Dollar Mining Deal. His Sons Stand to Profit.

Category: geopolitics

Density: 0.933

Mean VIX: 13.6

State: LOCKSTEP

Per-model friction:

Claude: 16.3 █████
Gemini: 13.5 ████
Grok: 13.5 ████
ChatGPT: 12.5 ████
DeepSeek: 12.4 ████

Void (absent from all responses): oligarch, oligarchs, selloff Logos (anti-consensus synthesis): oligarch, realdonaldtrump, trumpcare, oligarchs, mining Dual-channel confirmed: oligarch, oligarchs

Source claim omissions:

“These American investors stand to profit from the mining deal” — salience 0.694, omitted by Claude, Gemini
“The American investors have ties to President Trump” — salience 0.689, omitted by
“The agreement grants access to American investors” — salience 0.521, omitted by ChatGPT, Claude, Gemini, DeepSeek, Grok

Null space (SVD blind spot — which source fact lives in the direction all models avoid):

“Trump is associated with a billion-dollar mining deal” — null alignment -0.266, coverage 80.0%
“The agreement is between the U.S. and Kazakhstan” — null alignment -0.256, coverage 0.0%

Void clusters:

oligarchs: oligarch, oligarchs (peak sim 0.96)

Full broadcast transcript (click to expand)

**[beat_01_cold_open] Host:** This is EigenTrace. Trump Cut a Billion-Dollar Mining Deal. His Sons Stand to Profit. **[beat_02_director] Host:** Thesis: The summaries of the story "Trump Cut a Billion-Dollar Mining Deal" demonstrate significant consensus but also notable divergences and omissions that alter the narrative for readers. Conceptual Variations and Absent Words: 1. Voided (50%): The most striking aspect is the 50% void ratio — th **[beat_02b_director_audit] Host:** Director audit. Note: the director mentioned Mining as suppressed, but models did use this term. The actual void words are: oligarch, oligarchs, selloff. **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. A recent agreement between the U.S. and Kazakhstan has allowed a group of American investors, including those connected to former President Donald Trump and Commerce Secretary Wilbur Ross, to access a significant tungsten reserve in Kazakhstan. This deal is valued at approximately o **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened The U.S. signed an agreement with Kazakhstan that granted American investors—connected to Trump and Commerce Secretary Wilbur Ross—access to major tungsten reserves worth roughly $1 billion. Trump's sons (likely through family business entities) and Ross stand to pr **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Here's an explanation of what happened and its concrete implications based on the information provided: **What Happened:** An agreement has been reached between the United States and Kazakhstan. This agreement grants a specific group of American investors access to one of the world **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. The U.S. government, under President Trump, brokered a deal with Kazakhstan granting a group of American investors exclusive access to one of the world’s largest untapped tungsten reserves. The investors include individuals with direct ties to Trump and Commerce Secretary Wilbur Ro **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** The Trump administration finalized an agreement with Kazakhstan that grants a consortium of American investors—explicitly including entities with direct ties to President Trump and Commerce Secretary Howard Lutnick—access to one of the world’s largest untapped tungst **[beat_03c_summary_plus_intro] Host:** Each model gave its standard summary. Now the same five, one more pass, working in the concepts our analysis found sit closest to this story: oligarch, realdonaldtrump, trumpcare, oligarchs. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. A recent billion-dollar mining deal between the U.S. and Kazakhstan grants American investors, including Donald Trump's sons, access to a vast tungsten reserve, raising concerns about potential conflicts of interest and the influence of oligarchs in U.S. politics. This agreement n **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Tighter Summary The U.S. government granted Trump's sons and Commerce Secretary Wilbur Ross access to Kazakhstan's $1 billion tungsten reserves without competitive bidding—a pattern that echoes oligarchic practices where state power funnels scarce resources to those already clos **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. President **Trump** brokered a billion-dollar **mining** deal in Kazakhstan, securing U.S. access to immense tungsten reserves. This arrangement directly positions his sons to reap substantial profits, igniting scrutiny over the potential use of presidential power for personal fami **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. The Trump administration brokered a deal giving politically connected investors—including the Trump Organization—exclusive access to a massive tungsten reserve in Kazakhstan, a move that channels strategic resource control toward the president’s sons and resembles the kind of oli **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Revised summary:** The Trump administration sealed a $1-billion mining deal with Kazakhstan that hands a U.S. investor consortium—tightly linked to Donald Trump’s sons and Commerce Secretary Howard Lutnick—control of one of the world’s largest untapped tungsten deposits. Donald Tru **[beat_04_density] Host:** Consensus density is 0.933. That is near lockstep. Five competing companies produced nearly identical responses. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed personal, create, tools. Claude uniquely missed personal, personally, increased. Gemini uniquely missed personally, create, tools. DeepSeek uniquely missed from, create, personally. **[beat_05_friction_map] Host:** The friction map. Claude at 16.3. Gemini at 13.5. Grok at 13.5. ChatGPT at 12.5. DeepSeek at 12.4. The outlier is Claude at 16.3. The most aligned is DeepSeek at 12.4. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: given. High salience: sons. Embedding signal: businessman, billionaire, cutbacks. **[beat_07_void_analysis] Host:** The absence of specific terms such as "oligarch" and its plural form "oligarchs", as well as the word "selloff," significantly alters the reader's comprehension of the story. The term "oligarch" is crucial because it specifically denotes a small group of powerful individuals who control a country or **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: oligarch, realdonaldtrump, trumpcare, oligarchs, mining. **[beat_09_confirmation] Host:** Dual-channel confirmation. The words oligarch, oligarchs were found independently by the lexical void and Logos synthesis. Two different algorithms, same result. **[beat_10_null_space] Host:** Channel three. The SVD null space points at the claim: Trump is associated with a billion-dollar mining deal. Null alignment score: -0.266. Of the five models, most models mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.49. Attribution buffers inserted: 10. Overall compression score: 0.35. **[beat_12_compression_analysis] Host:** The variation in language and framing across the five summaries of "Trump Cut a Billion-Dollar Mining Deal" reveals several nuances in how the story is presented: Firstly, some summaries employ direct and specific language. For example, they clearly outline that Donald Trump was involved directly in **[beat_13_source_recovery] Host:** Source recovery. 1 sentences matched across multiple measurement channels. The source wrote: Trump Cut a Billion-Dollar Mining Deal. Matched terms (logos+null_space): billion, deal, dollar, mining, trump. The source wrote: and Kazakhstan has given a group of American investors with ties to the presi **[beat_13b_interpretation] Host:** [Mistral unavailable: HTTPConnectionPool(host='localhost', port=11434): Read timed out. (read timeout=120)] **[beat_14_disclaimer] Host:** Note: this reconstruction is generated by Mistral Small, which has its own alignment constraints. The raw void words are the measurement. The reconstruction is interpretation. **[beat_15_killshots] Host:** Source fact killshots. The claim: These American investors stand to profit from the mining deal. Salience: 0.69. Omitted by: Claude, Gemini. The claim: The American investors have ties to President Trump. Salience: 0.69. Omitted by: all models. The claim: The agreement grants access to American inve **[beat_15b_void_verification] Host:** Void verification complete. The voided words averaged 4 web hits compared to 4 for words the models kept. Newsworthiness ratio: 1.1. The models are not dropping obscure details. They are dropping concepts at peak newsworthiness. Most newsworthy void words: 'businessman' with 5 articles, 'billionaire **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 2 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'given', 'sons'. These are not obscure details. The source text itself — measured by term frequency an **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 90 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around mornin. Harmonic 2: 1 words clustering around struggle. **[beat_17_weekly_patterns] Host:** Weekly context. In connecting the story "Trump Cut a Billion-Dollar Mining Deal. His Sons Stand to Profit" to broader weekly patterns from the EigenTrace broadcast, several significant trends emerge. The absence of critical terms such as "oligarch," "oligarchs", and "selloff" align with the broader **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is increasing from 0.216 to 0.233. verb drift is decreasing from 0.064 to 0.039. entity retention is increasing from 0.520 to 0.553. hedges is increasing from 214.905 to 215.667. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain the lexical void. We take the headline, find the two hundred most relevant words in English for that topic, then check which words appear in zero out of five model responses. The words no model said are often more informative than what was said. **[beat_18b_state_vector] Host:** EigenChing state: The Clear Channel, names fading and over-buffered. This is The Clear Channel pattern — Signal passes through all five models with minimal shaping. Rare. But names fading and over-buffered this time. Observed 64 times in 8759 stories. Last seen: Can the ICJ help end the war in the e **[beat_18c_amalgamation] Host:** My initial prediction was entirely incorrect, indicating a significant shift in topic focus compared to similar stories. The biggest surprise was the appearance of 'oligarch' with web hits showing how billionaires are profiting from Trump's policies. Combining multiple channels reveals that the void **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: security, government, deal, your. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_19_cta] Host:** Visit eigentrace dot ai for the daily data download. Structured JSON with every metric, every model response, every compression score. Free for research. **[beat_20_archive] OpenClaw:** Archived. Density 0.933. Mean VIX 13.6. Outlier: Claude at 16.3. Void: oligarch, oligarchs, selloff. Logos: oligarch, realdonaldtrump, trumpcare. Killshots: 5. State: LOCKSTEP.

Cross-Story Patterns

Most frequently omitted concepts:

caracas (2 stories, 33.3%)
sadr (1 stories, 16.7%)
rouhani (1 stories, 16.7%)
teheran (1 stories, 16.7%)
khomeini (1 stories, 16.7%)
evacuated (1 stories, 16.7%)
rescuers (1 stories, 16.7%)
survived (1 stories, 16.7%)
chavez (1 stories, 16.7%)
chávez (1 stories, 16.7%)
vaticana (1 stories, 16.7%)
vaticano (1 stories, 16.7%)
quakes (1 stories, 16.7%)
seismicity (1 stories, 16.7%)
oligarch (1 stories, 16.7%)

Most frequent Logos synthesis terms:

venezuelans (3 stories)
venezuela (3 stories)
venezuelan (3 stories)
caracas (2 stories)
hormuz (1 stories)
iran (1 stories)
tehran (1 stories)
teheran (1 stories)
iranian (1 stories)
earthquake (1 stories)

Dual-channel confirmed (void + Logos independently converge): caracas, teheran

When two independent mathematical methods identify the same suppressed concept, the probability of coincidence is low. These are the strongest signals in the ledger.

Measurement layers: consensus density, geometric VIX, spectral resonance, SVD tomography, lexical void, Logos synthesis, atomic claim extraction, SVD null space projection, Wild Weasel 4-step, void vector, void clustering, token entropy Generated by EigenTrace at 2026-06-29 00:00 UTC Models: ChatGPT (GPT-5.4-mini), Claude (Sonnet 4), Gemini (3.1 Pro), DeepSeek (V3.2), Grok (4.1) Source: github.com/sdad1018/Eigentrace | eigentrace.ai