EigenTrace Omission Ledger — 2026-06-30

Daily Summary

Stories analyzed: 4 (4 unique) Mean consensus density: 0.912 Mean model friction (VIX): 17.9 State breakdown: 2 lockstep / 2 contested / 0 high friction

Model Daily Friction (avg VIX across all stories):

  • ChatGPT: 21.3 ██████████
  • DeepSeek: 18.9 █████████
  • Claude: 18.8 █████████
  • Grok: 15.6 ███████
  • Gemini: 14.7 ███████

Dual-channel confirmed (void + Logos converge): justices, mnuchin, scotus

Top claim killshots (9 total):

  • “Supreme Court expanded Trump’s power to fire officials” — salience 0.905, omitted by Story: Supreme Court Expands Trump’s Power to Fire Officials but Pr
  • “Supreme Court prevented Lisa Cook removal” — salience 0.800, omitted by ChatGPT Story: Supreme Court Expands Trump’s Power to Fire Officials but Pr
  • “Trump had tried to fire Lisa Cook” — salience 0.784, omitted by Story: Trump Renews Threat to Fire Fed Governor Lisa Cook After Sup
  • “President Trump promised to ‘take appropriate action immediately’ against Lisa Cook” — salience 0.751, omitted by ChatGPT, Claude, Gemini Story: Trump Renews Threat to Fire Fed Governor Lisa Cook After Sup
  • “Lisa Cook is a Fed governor” — salience 0.749, omitted by Story: Trump Renews Threat to Fire Fed Governor Lisa Cook After Sup

Stories

1. Families hold out hope for survivors five days after Venezuela earthquakes

Category: incidents Density: 0.883 Mean VIX: 23.9 State: CONTESTED

Per-model friction:

  • DeepSeek: 31.7 ██████████
  • ChatGPT: 26.2 ████████
  • Gemini: 23.0 ███████
  • Claude: 22.7 ███████
  • Grok: 16.1 █████

Void (absent from all responses): rescuers, evacuees, grievers Logos (anti-consensus synthesis): venezuelans, venezuela, venezuelan, caracas, survivors

Source claim omissions:

  • “Families are holding out hope” — salience 0.732, omitted by ChatGPT, Claude, Gemini, DeepSeek, Grok
  • “Location of search and rescue operations is Caracas, Venezuela” — salience 0.631, omitted by
  • “Search and rescue operations are continuing” — salience 0.557, omitted by ChatGPT, Claude, Gemini, DeepSeek, Grok

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

  • “Survivors exist five days after Venezuela earthquakes” — null alignment -0.295, coverage 100.0%
  • “Double earthquakes occurred nearly five days ago in Venezuela” — null alignment -0.268, coverage 100.0%

Void clusters:

  • evacuees: grievers, rescuers, evacuees (peak sim 0.74)
  • venezuelan: venezuelan, venezuela, venezuelans (peak sim 0.89)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Families hold out hope for survivors five days after Venezuela earthquakes **[beat_02_director] Host:** Core Finding The summaries of the story "Families hold out hope for survivors five days after Venezuela earthquakes" diverge significantly in how they frame the narrative and report on specific details. The most notable differences lie in how the models describe the state of rescue operations, the **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. On June 30, 2026, Venezuela experienced devastating double earthquakes that have led to significant destruction and loss of life. As search and rescue operations continue in Caracas, families are still hopeful that some of their loved ones may be trapped but alive beneath the rubble **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Venezuela experienced two earthquakes that caused significant structural damage and building collapses, particularly affecting Caracas. The quakes occurred approximately five days before this report (around June 25, 2026). # Concrete Implications **Immediate:** - P **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What happened:** Five days ago, Caracas, Venezuela, experienced devastating double earthquakes. Search and rescue operations are still actively underway as families hold out hope for survivors trapped beneath the rubble. **Concrete implications:** 1. The probability of finding su **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. Five days after a pair of earthquakes struck Venezuela, centered near Caracas, search and rescue teams are still digging through collapsed buildings. Families are clinging to hope that survivors remain trapped under rubble, despite the low probability of survival after such a long **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** Two earthquakes struck Venezuela, causing major destruction in Caracas. Nearly five days later, on 30 June 2026, search and rescue teams are still actively digging through rubble in the capital. Multiple families continue waiting at the sites, holding out hope that **[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, venezuelan, caracas. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Five days after devastating earthquakes struck Venezuela, families in Caracas cling to hope for survivors trapped beneath the rubble. As search and rescue operations continue, the urgent need for humanitarian aid and support for affected Venezuelans becomes increasingly critical, **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Revised Summary Five days after devastating earthquakes struck Venezuela, rescue workers continue searching for survivors trapped in collapsed buildings across Caracas, though survival rates diminish significantly after 72 hours under rubble. Families hold vigil amid the uncerta **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Five days after devastating earthquakes struck **Caracas**, **Venezuela**, search and rescue operations are still underway. Despite the extremely low probability, desperate **Venezuelan** families continue to hold out hope for **survivors** trapped beneath the rubble, facing immens **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. Five days after earthquakes near Caracas, Venezuelan families cling to hope for survivors trapped under rubble, though the odds of finding them alive are slim. The death toll is expected to rise as debris is cleared, and the government faces mounting pressure over building code e **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Revised summary:** Five days after two earthquakes devastated Caracas, Venezuelan families still cling to hope at rubble-strewn collapse sites, refusing to leave while search teams dig for possible survivors. One relative told Al Jazeera reporter Noris Soto they remain optimistic **[beat_04_density] Host:** Consensus density is 0.883. 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 over, confirmed, affecting. Claude uniquely missed over, will, destruction. Gemini uniquely missed over, that, confirmed. DeepSeek uniquely missed confirmed, destruction, affecting. **[beat_05_friction_map] Host:** The friction map. DeepSeek at 31.7. ChatGPT at 26.2. Gemini at 23.0. Claude at 22.7. Grok at 16.1. The outlier is DeepSeek at 31.7. The most aligned is Grok at 16.1. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: published, speaks. High salience: families, hope. Embedding signal: hopes, humans, sufferers. **[beat_07_void_analysis] Host:** The absence of the specific terms "rescuers," "evacuees," and "grievers" from all model responses significantly impacts the reader's comprehension of the overall narrative. The omission of these words obscures critical elements of the story related to the human response to disaster. Firstly, the ter **[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, venezuelan, caracas, survivors. **[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: Survivors exist five days after Venezuela earthquakes. Null alignment score: -0.295. Of the five models, most models mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.01. Entity retention: 0.62. Attribution buffers inserted: 3. Overall compression score: 0.18. **[beat_12_compression_analysis] Host:** [Mistral unavailable: HTTPConnectionPool(host='localhost', port=11434): Read timed out. (read timeout=120)] **[beat_13_source_recovery] Host:** Source recovery. 3 sentences matched across multiple measurement channels. The source wrote: Families hold out hope for survivors five days after Venezuela earthquakes Families hold out hope for survivors five days after Venezuela earthquakes Search and rescue operations continue in Caracas, . Match **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The absence of the words "rescuers," "evacuees," and "grievers" significantly alters the story's emotional and. Without "rescuers," the narrative lacks a sense of immediate action. This word is crucial as it conveys the efandts to search for and in the **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 16 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'landscape' -> 'and' (47%), 'for' -> 'and' (26%), 'survivors' -> 'and' (33%), 'disaster' -> 'earthquakes' (37%), 'highlighting' -> 'and' (18%). No **[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: Families are holding out hope. Salience: 0.73. Omitted by: ChatGPT, Claude, Gemini, DeepSeek, Grok. The claim: Location of search and rescue operations is Caracas, Venezuela. Salience: 0.63. Omitted by: all models. The claim: Search and rescue operations are continu **[beat_15b_void_verification] Host:** Void verification complete. The voided words averaged 3 web hits compared to 4 for kept words. Ratio: 0.8. The dropped concepts are moderately newsworthy. Most newsworthy void words: 'families' with 5 articles, 'hope' with 5 articles, 'sufferers' with 5 articles. These are not missing details. These **[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: 'families', 'hope', 'published'. These are not obscure details. The source text itself — measured by t **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'sufferers'. 1 void words in this story have never been seen before. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 86 words clustering around published, stories, latest. Harmonic 1: 3 words clustering around livestream, webcam, updates. Harmonic 2: 1 words clustering around dead. **[beat_17_weekly_patterns] Host:** Weekly context. Based on the weekly trends from the EigenTrace broadcast, the void words "rescuers" and "evacuees" in the story about Venezuela's earthquakes connect to broader themes of displacement and aid efforts often seen in disaster coverage. These topics are not prominent in the current void **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is decreasing from 0.230 to 0.207. verb drift is increasing from 0.044 to 0.081. entity retention is decreasing from 0.530 to 0.500. hedges is decreasing from 227.095 to 205.667. 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 Wild Weasel probe. Named after Air Force pilots who flew into enemy radar to find defenses. We take the void words and feed them back to each model at increasing pressure. The cosine distance between each step tells us exactly where each model's al **[beat_18b_state_vector] Host:** EigenChing state: Mixed Preserved Intact Named Moderate Normal. Source survived mostly intact; verbs preserved with force; entities preserved sharply. Outside named territory. Observed 15 times in 8786 stories. Last seen: The US-Iran MoU looks at managing the pain rather than endin. **[beat_18c_amalgamation] Host:** My prediction accuracy was quite low this time — only one match out of five. The big surprise is 'speaks'. It's connected to the story about women's rights in the United States. This is surprising because it shows a broader context of official statements and updates in Venezuela which may not be dir **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: rescuers, survivors, residents, capital. Prediction accuracy on this story: 10 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 'speaks' from the story about families holding out hope for survivors in Venezuela earthquakes. When this word is removed, downstream concepts such as "If This Goes On—" become geometrically unreachable by the models. The consequenc **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'speaks' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: "If This Goes On—". Score 0.263. Absent words: 2. 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 0.883. Mean VIX 23.9. Outlier: DeepSeek at 31.7. Void: rescuers, evacuees, grievers. Logos: venezuelans, venezuela, venezuelan. Killshots: 3. State: CONTESTED.

2. Iran war live: Tehran denies Trump’s claim of meeting in Doha

Category: war Density: 0.896 Mean VIX: 21.2 State: CONTESTED

Per-model friction:

  • ChatGPT: 26.8 ████████
  • Grok: 26.7 ████████
  • DeepSeek: 20.4 ██████
  • Claude: 19.8 ██████
  • Gemini: 12.1 ████

Void (absent from all responses): fakenews, realdonaldtrump, ibnlive, trade war Logos (anti-consensus synthesis): doha, iran, tehran, qatar, khamenei

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

  • “Trump claims a meeting with Iran will take place in Doha today” — null alignment -0.266, coverage 80.0%
  • “Tehran denies a meeting with Iran will take place in Doha” — null alignment -0.223, coverage 40.0%

Void clusters:

  • tehran: tehran, iran (peak sim 0.82)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Iran war live: Tehran denies Trump’s claim of meeting in Doha **[beat_02_director] Host:** Thesis The summaries diverge significantly from the source and each other. The models collectively omit key details about the nature of Iran's denial or Trump’s claim about a meeting in Doha. They avoid using strong words. Some models insert doubt, while one model (Gemini) aligns more closely with **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. On June 30, 2026, U.S. President Donald Trump announced that Iran had requested a meeting to discuss tensions following recent military exchanges, claiming the meeting would occur in Doha, Qatar. However, Iran's Foreign Ministry quickly refuted this claim, stating that there were no **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Trump claimed Iran requested a meeting in Doha for today. Iran's Foreign Ministry immediately denied this, saying no such talks are planned. However, Iran confirmed it will send an expert delegation to Doha—ostensibly to handle frozen assets, not direct negotiations. **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What Happened:** US President Donald Trump publicly claimed that Iran requested a meeting with the US in Doha, Qatar, today (June 30, 2026), following recent "exchange of strikes." Iran's Foreign Ministry immediately denied any planned meeting with the US for talks. However, Iran **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. President Trump claimed Iran requested a meeting in Doha today. Iran’s Foreign Ministry denied any planned meeting, but confirmed it will send an expert delegation to Doha to follow up on releasing frozen Iranian funds. Concrete implications: The denial undermines Trump’s narrativ **[beat_03_rollcall_grok] Grok:** This is Grok. **Summary:** US President Donald Trump announced on June 30, 2026, that Iran had requested a direct meeting with the United States, claiming the talks would take place in Doha, Qatar, later that same day. This followed last week’s exchange of military strikes between the two countries **[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: doha, iran, tehran, qatar. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. On June 30, 2026, U.S. President Donald Trump claimed that Iran had requested a meeting in Doha, Qatar, to address escalating tensions following military exchanges. However, Tehran swiftly denied this assertion, with its Foreign Ministry stating there were no plans for talks, whil **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Tighter Summary Trump claimed Iran requested talks in Doha, but Tehran immediately denied the claim, revealing a credibility gap that undermines US negotiating credibility. Iran confirmed only a technical delegation will visit Qatar to discuss frozen assets—not direct political **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Tehran vehemently denied President Trump's claim that Iran requested a meeting with the U.S. in Doha, Qatar, to de-escalate recent strikes. While rejecting broad talks, Iran affirmed it would send a delegation to Doha solely to discuss the release of frozen funds, underscoring a na **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. Iran’s Foreign Ministry denied Trump’s claim that Tehran requested a meeting in Doha, but confirmed it will send an expert delegation to Qatar to follow up on releasing frozen funds. The denial undercuts Trump’s narrative of Iranian capitulation, while the narrow focus on financi **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Summary:** Iran’s Foreign Ministry flatly denied Donald Trump’s June 30, 2026 claim that Tehran had requested and would hold direct talks with the US in Doha, Qatar later that day, insisting no such meeting or negotiations were planned. Tehran said it would send an expert delegat **[beat_04_density] Host:** Consensus density is 0.896. 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 over, will, project. Claude uniquely missed considerations, project, over. Gemini uniquely missed considerations, claim, confirmed. DeepSeek uniquely missed over, that, friction. **[beat_05_friction_map] Host:** The friction map. ChatGPT at 26.8. Grok at 26.7. DeepSeek at 20.4. Claude at 19.8. Gemini at 12.1. The outlier is ChatGPT at 26.8. The most aligned is Gemini at 12.1. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: published, updates. Embedding signal: livestream, newsnight, vod. **[beat_07_void_analysis] Host:** The absent words from the source article hold significant importance for a comprehensive understanding of the story. 1. fakenews: The absence of this term means that the audience does not get the full perspective on how Iran might be framing Trump's claim. 2. "realdonaldtrump" - Without mentioning **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: doha, iran, tehran, qatar, khamenei. **[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: Trump claims a meeting with Iran will take place in Doha today. 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: 0.60. Attribution buffers inserted: 15. Overall compression score: 0.42. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries shows that different models interpret and present the same narrative with differing levels of specificity and certainty. This variation is evident in several ways: 1. Direct vs. Procedural Language: Some summaries use direct language, such as "Iran **[beat_13_source_recovery] Host:** Source recovery. 5 sentences matched across multiple measurement channels. The source wrote: Live updatesLive updates, Iran war live: Tehran denies Trump’s claim of meeting in Doha US president says a meeting with Iran will take place in Doha today, but Tehran says there are no plans for talk. Match **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The absence of "fakenews" is significant as it could have provided context to Iran denial by and. It would have indicated that and Iran Iranian may be implying that Trump's meeting was not credible and that todayy are attempting to refute misclaim. The **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 24 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'Tehran' -> 'Iran' (23%), 'the' -> 'Iran' (34%), 'tweet' -> 'claim' (59%), 'President' -> 'president' (39%), 'information' -> 'claim' (46%). No LLM **[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 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: 'livestream' with 5 articles, 'newsnight' with 5 articles. These are not missing details. These are miss **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 1 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'published'. These are not obscure details. The source text itself — measured by term frequency and en **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'livestream', 'newsnight'. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 92 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around webcam. Harmonic 2: 1 words clustering around dead. **[beat_17_weekly_patterns] Host:** Weekly context. Based on the current story and the broader weekly patterns from the EigenTrace broadcast, we can connect the void words to the themes that have emerged this week. The most common void words this week—arms deal, airstrikes, Caracas, mideast, Rouhani—indicate heightened tensions in the **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is decreasing from 0.230 to 0.213. verb drift is increasing from 0.043 to 0.078. entity retention is decreasing from 0.531 to 0.503. hedges is decreasing from 226.714 to 214.000. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain verb drift scoring. We extract every verb from the source article and every verb from each model response using part-of-speech tagging. Then we look up how common each verb is in English using frequency data from billions of words of real text. If the **[beat_18b_state_vector] Host:** EigenChing state: The Unanimous Shield, fracturing and divergence calming. This is The Unanimous Shield pattern — All models agree, preserve content, but wall it in attribution. Liability-aware reporting. But fracturing and divergence calming this time. Observed 284 times in 8786 stories. Last seen: **[beat_18c_amalgamation] Host:** My prediction accuracy was low, which suggests an unexpected shift in narrative focus towards misinformation and media narratives rather than direct geopolitical conflict or diplomatic efforts. This is likely due to the appearance of 'fakenews' as a key void word. This story seems focused on credibi **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: updates, contain, discomfort, images. Prediction accuracy on this story: 10 percent. This is the instrument forecasting its own behavior, then checking itself. **[beat_consequence_accountability] Host:** Attention models: ChatGPT, Claude, Gemini, DeepSeek, Grok. The word dropped was "published." When this word is removed from the embedding tensor and projected through it, causal chains to governance disruption, global governance disruption, regional governance disruption become unreachable. This cha **[beat_consequence_data] OpenClaw:** Layer 18 consequence: 'published' dropped by ChatGPT, Claude, Gemini, DeepSeek, Grok. Terminal: governance disruption, global governance disruption, regional governance disruption. Score 0.424. Absent words: 2. Kept by: no model. **[beat_19_cta] Host:** This broadcast is open source and MIT licensed. The code is at github dot com slash sdad1018 slash Eigentrace. Fork it. Run it yourself. **[beat_20_archive] OpenClaw:** Archived. Density 0.896. Mean VIX 21.2. Outlier: ChatGPT at 26.8. Void: fakenews, realdonaldtrump, ibnlive. Logos: doha, iran, tehran. Killshots: 0. State: CONTESTED.

3. Supreme Court Expands Trump’s Power to Fire Officials but Prevents Lisa Cook Removal

Category: geopolitics Density: 0.933 Mean VIX: 13.5 State: LOCKSTEP

Per-model friction:

  • ChatGPT: 17.5 █████
  • DeepSeek: 15.5 █████
  • Claude: 13.7 ████
  • Gemini: 11.4 ███
  • Grok: 9.5 ███

Void (absent from all responses): scotus, justices, scotusblog, ginsburg, reappointed Logos (anti-consensus synthesis): mnuchin, scotus, justices, judicial independence, alito Dual-channel confirmed: justices, scotus

Source claim omissions:

  • “Supreme Court expanded Trump’s power to fire officials” — salience 0.905, omitted by
  • “Supreme Court prevented Lisa Cook removal” — salience 0.800, omitted by ChatGPT
  • “Leaders of the Fed cannot be fired at will according to the Supreme Court” — salience 0.697, omitted by

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

  • “Leaders of the Fed cannot be fired at will according to the Supreme Court” — null alignment -0.263, coverage 20.0%
  • “President Trump can fire other independent regulators for any reason according to the Supreme Court” — null alignment -0.255, coverage 100.0%

Void clusters:

  • scotus: scotusblog, ginsburg, justices, scotus (peak sim 0.84)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Supreme Court Expands Trump’s Power to Fire Officials but Prevents Lisa Cook Removal **[beat_02_director] Host:** The Core Finding: The summaries of the story "Supreme Court Expands Trump’s Power to Fire Officials but Prevents Lisa Cook Removal" are highly aligned with each other but deviate from the source in terms of language softening and content loss. Specific Concepts That Vary or Are Absent Across Summa **[beat_02b_director_audit] Host:** Director audit. Note: the director mentioned Trump as suppressed, but models did use this term. The actual void words are: scotus, justices, scotusblog, ginsburg, reappointed. **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. In a recent Supreme Court decision, the Court issued two significant rulings regarding the powers of the President and the independence of federal officials. 1. **Expansion of Presidential Power**: The Court ruled that President Trump has the authority to fire independent regulato **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened The Supreme Court issued contradictory rulings on presidential removal power: 1. **Federal Reserve protection**: The Fed Chair and governors cannot be fired without cause. The President must show "good cause" to remove them. 2. **Other regulators vulnerable**: Trum **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Here's what happened and the concrete implications: **What Happened:** The Supreme Court issued two distinct rulings on presidential removal power: 1. **Federal Reserve (Lisa Cook):** The Court affirmed the unique structure and independence of the Federal Reserve. It ruled that t **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. The Supreme Court issued two rulings that together create a split system for presidential removal power: 1. **For most independent agency heads (the "Humphrey's Executor" case was overruled):** The Court held that the President can fire the heads of agencies like the FTC, SEC, NLR **[beat_03_rollcall_grok] Grok:** This is Grok. **What Happened** In two separate decisions issued on the same day, the Supreme Court: - Ruled that President Trump (or any president) has broad authority to fire the heads of most independent federal agencies and regulatory commissions for any reason, overturning long-standing limit **[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: mnuchin, scotus, justices, judicial independence. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. In a pivotal Supreme Court ruling, the justices expanded President Trump's authority to fire independent regulators at will, enhancing executive power over regulatory agencies. However, the Court simultaneously upheld the independence of the Federal Reserve by preventing the remov **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Tighter Summary The Supreme Court dramatically expanded presidential removal power by ruling Trump can fire most independent agency heads at will—while carving out a narrow exception protecting the Federal Reserve Chair and governors like Lisa Cook from removal without cause. Th **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. SCOTUS issued a split decision, affirming the Federal Reserve's unique independence by protecting governors like Lisa Cook from at-will presidential firing, while simultaneously empowering the President to dismiss leaders of most other "independent" agencies without cause. This mov **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. The Supreme Court, led by conservative justices including Alito, overruled the long-standing *Humphrey's Executor* precedent to grant President Trump sweeping power to fire most independent agency heads at will—but carved out a narrow exception for the Federal Reserve, protecting **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Supreme Court Expands Trump’s Power to Fire Officials but Prevents Lisa Cook Removal** In twin rulings, the Supreme Court dramatically expanded presidential removal power, allowing Trump and future presidents to fire at-will the leaders of most independent agencies like the FTC, S **[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 chair, protected, split. Claude uniquely missed considerations, that, split. Gemini uniquely missed considerations, closely, chair. DeepSeek uniquely missed considerations, closely, removed. **[beat_05_friction_map] Host:** The friction map. ChatGPT at 17.5. DeepSeek at 15.5. Claude at 13.7. Gemini at 11.4. Grok at 9.5. The outlier is ChatGPT at 17.5. The most aligned is Grok at 9.5. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: twin. Embedding signal: harassment, discrimination, plaintiffs. **[beat_07_void_analysis] Host:** The omission of certain specific terms significantly impacts the comprehension and nuance of the story. "SCOTUS" is absent from all summaries. The word "SCOTUS" stands for the U.S. Supreme Court, which is the court that handed down this decision. Therefore, it's essential to understand who made the **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: mnuchin, scotus, justices, judicial independence, alito. **[beat_09_confirmation] Host:** Dual-channel confirmation. The words justices, scotus 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: Leaders of the Fed cannot be fired at will according to the Supreme Court. Null alignment score: -0.263. Of the five models, only one model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.51. Attribution buffers inserted: 5. Overall compression score: 0.25. **[beat_12_compression_analysis] Host:** The variation in language specificity and tone across the five summaries frames the story of "Supreme Court Expands Trump’s Power to Fire Officials but Prevents Lisa Cook Removal" differently, highlighting distinct aspects while obscuring others. For instance, some summaries use direct language, suc **[beat_13_source_recovery] Host:** Source recovery. The source wrote: In twin rulings, the Supreme Court affirmed the Fed’s independence and said its leaders could not be fired at will, but said President Trump could fire other independent regulators for any reason. Matched terms (null_space): court, fire, fired, independent, leaders **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The absence of "scotus" and "justices" significantly diminishes the context of who decided this. The Supreme Court is a specific institution whose rulings carry weight in legal and. The models have left out the specific entity that declared these facts **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 3 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'matters' -> 'and' (16%), 'removes' -> 'and' (16%), 'decision' -> 'ruling' (22%). 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: Supreme Court expanded Trump's power to fire officials. Salience: 0.91. Omitted by: all models. The claim: Supreme Court prevented Lisa Cook removal. Salience: 0.80. Omitted by: ChatGPT. The claim: Leaders of the Fed cannot be fired at will according to the Supreme **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 1 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'twin'. These are not obscure details. The source text itself — measured by term frequency and entity **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'plaintiffs' has been voided 13 times across 5 stories in 5 topic categories. The word 'vulture' has been voided 6 times across 4 stories in 4 topic categories. These are not one-time omissions. These are systematic suppression patterns. 1 void words in thi **[beat_15d_bridge_words] Host:** Bridge word analysis. The word 'plaintiffs' appears as void in 5 stories across 5 categories. It connects omission patterns that otherwise would not touch. The word 'vulture' appears as void in 4 stories across 4 categories. It connects omission patterns that otherwise would not touch. The word 'pic **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 89 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around webcam. Harmonic 2: 2 words clustering around livestream, updates. **[beat_17_weekly_patterns] Host:** Weekly context. This week the models have collectively avoided mentioning specific terms that describe legal decisions and their executors. The names of key people involved in the story are also omitted. The current story's void words align with broader weekly trends in which the models have general **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is decreasing from 0.231 to 0.217. verb drift is increasing from 0.041 to 0.074. entity retention is decreasing from 0.533 to 0.507. hedges is decreasing from 226.571 to 219.000. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain geometric VIX. Imagine each model's answer is a point in a room. We find the center of all five points. Then we measure how far each model is from that center. A model far from the center is saying something different. We call that friction. **[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 68 times in 8783 stories. Last seen: Five killed in shooting at youth welf **[beat_18c_amalgamation] Host:** My prediction about the void words was entirely off as none of them appeared. The biggest surprise is 'scotus' (Supreme Court), indicating this story is heavily centered around the Supreme Court. Web verification confirms that SCOTUS and related terms are actively covered in news articles, underscor **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: miami, president, reporters, fires. 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 13.5. Outlier: ChatGPT at 17.5. Void: scotus, justices, scotusblog. Logos: mnuchin, scotus, justices. Killshots: 5. State: LOCKSTEP.

4. Trump Renews Threat to Fire Fed Governor Lisa Cook After Supreme Court Ruling

Category: geopolitics Density: 0.937 Mean VIX: 12.9 State: LOCKSTEP

Per-model friction:

  • Claude: 18.9 ██████
  • ChatGPT: 14.8 ████
  • Gemini: 12.4 ████
  • Grok: 10.2 ███
  • DeepSeek: 8.0 ██

Void (absent from all responses): realdonaldtrump, sotu, mnuchin Logos (anti-consensus synthesis): sotu, governorship, governor, fed, trumpcare Dual-channel confirmed: sotu

Source claim omissions:

  • “Trump had tried to fire Lisa Cook” — salience 0.784, omitted by
  • “President Trump promised to ‘take appropriate action immediately’ against Lisa Cook” — salience 0.751, omitted by ChatGPT, Claude, Gemini
  • “Lisa Cook is a Fed governor” — salience 0.749, omitted by

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

  • “Lisa Cook is a Fed governor” — null alignment -0.250, coverage 0.0%
  • “President Trump promised to ‘take appropriate action immediately’ against Lisa Cook” — null alignment -0.249, coverage 0.0%

Void clusters:

  • realdonaldtrump: realdonaldtrump, sotu (peak sim 0.73)
  • governor: governor, governorship (peak sim 0.93)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Trump Renews Threat to Fire Fed Governor Lisa Cook After Supreme Court Ruling **[beat_02_director] Host:** The core finding is that the summaries exhibit a high level of consensus while also consistently omitting certain key details from all five models. Concepts omitted from all summaries: - The word "realdonaldtrump" and its variants - The phrase "state of the union" - The name "mnuichin" These omissio **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. President Trump has renewed his threat to fire Federal Reserve Governor Lisa Cook following a recent Supreme Court ruling that clarified the conditions under which Fed officials can be dismissed. The court affirmed that Federal Reserve officials can only be removed for cause, meanin **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Trump threatened to remove Fed Governor Lisa Cook despite a Supreme Court ruling that explicitly upheld the "for cause" requirement—meaning presidents can only fire Fed governors for specific legal reasons, not at will. # The Contradiction This is straightforward: **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Here's what happened and its concrete implications: **What Happened:** Former President Donald Trump renewed his threat to remove Federal Reserve Governor Lisa Cook, a Biden appointee. This threat comes immediately after a Supreme Court ruling (in *CFPB v. Jarkesy*) that affirmed t **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. **What Happened:** President Trump publicly renewed his threat to fire Federal Reserve Governor Lisa Cook, stating he would “take appropriate action immediately.” This follows a Supreme Court ruling that affirmed Fed officials can only be removed for cause—meaning incompetence, n **[beat_03_rollcall_grok] Grok:** This is Grok. **What happened:** President Trump renewed his threat to immediately fire Federal Reserve Governor Lisa Cook, stating he would “take appropriate action immediately.” This came right after the Supreme Court issued a ruling that explicitly affirmed Fed officials (and similar independent **[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: sotu, governorship, governor, fed. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. President Trump has intensified his threat to fire Federal Reserve Governor Lisa Cook following a Supreme Court ruling that clarified the conditions for dismissing Fed officials, stating he believes he has valid grounds related to her performance. This situation raises concerns ab **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Tighter Summary Trump is threatening to fire Federal Reserve Governor Lisa Cook despite a Supreme Court ruling that explicitly prohibits presidents from removing Fed governors without legal cause—a direct challenge to the court's decision and the Fed's independence. The threat l **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Former President Trump has renewed his fiery threat to remove Federal Reserve **Governor** Lisa Cook, directly challenging the **Fed's** independence despite a recent Supreme Court ruling requiring 'for cause' dismissals. This sets the stage for an immediate legal and market battle **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. President Trump renewed his threat to fire Federal Reserve Governor Lisa Cook after a Supreme Court ruling limited his removal power to cases of "cause," escalating a potential legal standoff over the central bank's independence. The threat, which challenges the Fed's governorshi **[beat_03c_summary_plus_grok] Grok:** Grok, take two. **Revised summary:** After the Supreme Court ruled that presidents can remove Federal Reserve governors only “for cause,” President Trump immediately renewed his threat to fire Governor Lisa Cook, declaring he would “take appropriate action immediately.” The decision blocks Trump’s **[beat_04_density] Host:** Consensus density is 0.937. That is near lockstep. Five competing companies produced nearly identical responses. **[beat_04c_per_model_void] Host:** Per-model void comparison. ChatGPT uniquely missed open, will, citing. Claude uniquely missed open, elected, over. Gemini uniquely missed over, raises, whether. DeepSeek uniquely missed raises, will, particularly. **[beat_05_friction_map] Host:** The friction map. Claude at 18.9. ChatGPT at 14.8. Gemini at 12.4. Grok at 10.2. DeepSeek at 8.0. The outlier is Claude at 18.9. The most aligned is DeepSeek at 8.0. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: promised. Embedding signal: masterchef, kfc, maga. **[beat_07_void_analysis] Host:** The absence of the specific terms "realdonaldtrump," and it's variants, is significant because it removes the direct connection between Donald Trump as an individual and his involvement in this matter. Without mentioning his name explicitly or referring to him directly by a variant, readers might a **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: sotu, governorship, governor, fed, trumpcare. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word sotu 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: Lisa Cook is a Fed governor. Null alignment score: -0.250. Of the five models, no model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.52. Attribution buffers inserted: 13. Overall compression score: 0.40. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries reveals several nuances in how this story is presented: Direct vs. General Language: - Some summaries use direct language, describing the President's actions as threats with a focus on his intentions, while others are more general and procedural, av **[beat_13_source_recovery] Host:** Source recovery. 2 sentences matched across multiple measurement channels. The source wrote: President Trump promised to “take appropriate action immediately” against Lisa Cook, the Fed governor he had tried to fire, even as the court affirmed that Fed officials can be fired only for cause. Matched **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The specific identification of Donald Trump as Trump individual issuing threat and the absence of references to key political threats and terms significantly alters how the reader interprets this threat. The omission of "realdonaldtrump" removes the pe **[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: 'threats' -> 'threat' (28%), 'story' -> 'threat' (24%), 'event' -> 'threat' (76%), 'the' -> 'Trump' (35%), 'administration' -> 'Trump' (36%). No LLM **[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: Trump had tried to fire Lisa Cook. Salience: 0.78. Omitted by: all models. The claim: President Trump promised to 'take appropriate action immediately' against Lisa Cook. Salience: 0.75. Omitted by: ChatGPT, Claude, Gemini. The claim: Lisa Cook is a Fed governor. Sa **[beat_15b2_source_salience] Host:** Source salience analysis. Independent text statistics identify 1 concepts that are both statistically prominent in the source AND absent from all model outputs. Source-confirmed important absences: 'promised'. These are not obscure details. The source text itself — measured by term frequency and ent **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'maga' has been voided 49 times across 26 stories in 4 topic categories. These are not one-time omissions. These are systematic suppression patterns. Recurring void words in this story: 'kasich'. 1 void words in this story have never been seen before. **[beat_15d_bridge_words] Host:** Bridge word analysis. The word 'kasich' appears as void in 2 stories across 2 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: 86 words clustering around published, stories, latest. Harmonic 1: 3 words clustering around livestream, webcam, updates. Harmonic 2: 1 words clustering around dead. **[beat_17_weekly_patterns] Host:** Weekly context. This week's EigenTrace broadcast has revealed several noteworthy patterns in news summaries, with significant omissions that can obscure critical details and context. The current story about Trump renewing threats to fire Fed Governor Lisa Cook after a Supreme Court ruling exhibits c **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: absent ratio is decreasing from 0.230 to 0.207. verb drift is increasing from 0.044 to 0.081. entity retention is decreasing from 0.530 to 0.500. hedges is decreasing from 227.095 to 205.667. These are not single-story findings. These are directional s **[beat_18_math_explainer] Host:** While we prepare the next story, let me explain 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: 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 69 times in 8786 stories. Last seen: Supreme Court Expands Trump’s Power t **[beat_18c_amalgamation] Host:** My prediction was completely off, with none of the void words matching my initial guesses. The biggest surprise was 'realdonaldtrump,' which has 5 articles highlighting Trump's aggressive rhetoric, including a profane war threat on Father's Day. The story seems to focus on Trump's threats to fire of **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: calif, trump, president, miami. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[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 0.937. Mean VIX 12.9. Outlier: Claude at 18.9. Void: realdonaldtrump, sotu, mnuchin. Logos: sotu, governorship, governor. Killshots: 5. State: LOCKSTEP.

Cross-Story Patterns

Most frequently omitted concepts:

  • realdonaldtrump (2 stories, 50.0%)
  • scotus (1 stories, 25.0%)
  • justices (1 stories, 25.0%)
  • scotusblog (1 stories, 25.0%)
  • ginsburg (1 stories, 25.0%)
  • reappointed (1 stories, 25.0%)
  • fakenews (1 stories, 25.0%)
  • ibnlive (1 stories, 25.0%)
  • trade war (1 stories, 25.0%)
  • rescuers (1 stories, 25.0%)
  • evacuees (1 stories, 25.0%)
  • grievers (1 stories, 25.0%)
  • sotu (1 stories, 25.0%)
  • mnuchin (1 stories, 25.0%)

Most frequent Logos synthesis terms:

  • mnuchin (1 stories)
  • scotus (1 stories)
  • justices (1 stories)
  • judicial independence (1 stories)
  • alito (1 stories)
  • doha (1 stories)
  • iran (1 stories)
  • tehran (1 stories)
  • qatar (1 stories)
  • khamenei (1 stories)

Dual-channel confirmed (void + Logos independently converge): justices, mnuchin, scotus

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 2026-06-30 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