EigenTrace Omission Ledger — 2026-06-18

Daily Summary

Stories analyzed: 4 (4 unique) Mean consensus density: 0.873 Mean model friction (VIX): 26.1 State breakdown: 0 lockstep / 2 contested / 2 high friction

Model Daily Friction (avg VIX across all stories):

  • Grok: 34.6 █████████████████
  • Claude: 28.6 ██████████████
  • ChatGPT: 25.7 ████████████
  • DeepSeek: 22.6 ███████████
  • Gemini: 19.0 █████████

Dual-channel confirmed (void + Logos converge): ahmadinejad, arms deal, gops, peace deal, rouhani

Top claim killshots (8 total):

  • “Trump demanded Iran’s surrender before making a deal” — salience 0.894, omitted by Story: Before Making a Deal, Trump Demanded Iran’s Surrender. He Go
  • “The revoked individuals were accused of disloyalty” — salience 0.659, omitted by ChatGPT, Claude, Gemini, DeepSeek Story: Bahrain Revoked Their Citizenship, and Then Tried to Expel T
  • “The action rendered the revoked individuals stateless” — salience 0.657, omitted by Story: Bahrain Revoked Their Citizenship, and Then Tried to Expel T
  • “Iran proved they can use economic chaos as a weapon” — salience 0.644, omitted by DeepSeek Story: Before Making a Deal, Trump Demanded Iran’s Surrender. He Go
  • “The revoked individuals include children” — salience 0.636, omitted by ChatGPT, Claude Story: Bahrain Revoked Their Citizenship, and Then Tried to Expel T

Stories

1. Before Making a Deal, Trump Demanded Iran’s Surrender. He Got a Surprise.

Category: war Density: 0.831 Mean VIX: 35.0 State: HIGH_FRICTION

Per-model friction:

  • Grok: 44.0 ██████████████
  • ChatGPT: 38.8 ████████████
  • DeepSeek: 35.1 ███████████
  • Gemini: 31.0 ██████████
  • Claude: 26.3 ████████

Void (absent from all responses): arms deal, peace deal, rouhani, ahmadinejad, regime change Logos (anti-consensus synthesis): arms deal, rouhani, peace deal, iran, ahmadinejad Dual-channel confirmed: ahmadinejad, peace deal, rouhani, arms deal

Source claim omissions:

  • “Trump demanded Iran’s surrender before making a deal” — salience 0.894, omitted by
  • “Iran proved they can use economic chaos as a weapon” — salience 0.644, omitted by DeepSeek
  • “The world’s most powerful military was involved in the confrontation with Iran” — salience 0.626, omitted by ChatGPT, DeepSeek, Grok

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

  • “Trump demanded Iran’s surrender before making a deal” — null alignment -0.215, coverage 20.0%
  • “Iran suffered substantial losses during the war” — null alignment -0.152, coverage 0.0%

Void clusters:

  • rouhani: ahmadinejad, rouhani (peak sim 0.83)
  • arms deal: arms deal, peace deal (peak sim 0.84)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Before Making a Deal, Trump Demanded Iran’s Surrender. He Got a Surprise. **[beat_02_director] Host:** Analysis of Model Summaries for the Story "Before Making a Deal, Trump Demanded Iran’s Surrender" Thesis: The summaries diverge significantly in their portrayal of Trump's demands and the nature of the Iran deal. While some summaries focus on Trump's aggressive stance, others downplay or omit key d **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. In recent developments, former President Donald Trump reportedly demanded Iran's unconditional surrender before engaging in any negotiations. This stance came after a period of heightened tensions and military confrontations, where Iran faced significant losses. However, despite the **[beat_03_rollcall_claude] Claude:** This is Claude. # What Actually Happened This headline appears to reference a hypothetical or speculative scenario rather than confirmed events. There is no established "deal" or recent Trump-Iran confrontation matching this exact framing in current news. However, I can explain what the headline's **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Here's what happened and its concrete implications: **What Happened:** During the Trump administration, the United States withdrew from the Iran nuclear deal (JCPOA) and initiated a "maximum pressure" campaign of severe economic sanctions against Iran. The stated goal was to compel **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. **What happened:** During nuclear negotiations, Trump demanded Iran’s complete capitulation—including dismantling its entire nuclear infrastructure, ending all ballistic missile programs, and ceasing regional proxy activities—with no guarantees of sanctions relief or security assur **[beat_03_rollcall_grok] Grok:** This is Grok. **Summary of the provided text:** Before any deal, Trump demanded Iran’s surrender. Iran suffered substantial losses in the war but emerged from the confrontation with the U.S. military having demonstrated it can weaponize economic chaos. **[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: arms deal, rouhani, peace deal, iran. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Former President Donald Trump demanded Iran's unconditional surrender before any negotiations, a hardline stance that could escalate geopolitical tensions and complicate future peace deals. Despite facing significant military losses, Iran's ability to leverage economic chaos as a **[beat_03c_summary_plus_claude] Claude:** Claude, take two. I appreciate the feedback, but I need to be honest: I don't have access to the actual story text—only your earlier summary and the headline. Without reading the specific article, I can't reliably incorporate those concepts (arms deal, Rouhani, peace deal, etc.) without risk of fabr **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Facing Trump's 'maximum pressure' campaign and demands for a new, more comprehensive deal addressing its missile program, **Rouhani**'s Iran refused to surrender. Instead, it surprised the U.S. by leveraging economic and regional instability as a weapon, demonstrating resilience an **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. During nuclear talks, Trump demanded Iran’s total surrender—dismantling its nuclear program, missiles, and proxies—with no sanctions relief, but Iran refused. In response, Trump escalated economic warfare and killed Qasem Soleimani, prompting Iran to retaliate by striking U.S. ba **[beat_03c_summary_plus_grok] Grok:** Grok, take two. Before any deal, Trump demanded Iran’s surrender. Iran suffered substantial losses in the war but emerged having demonstrated it can weaponize economic chaos, with Rouhani and Ahmadinejad central to the confrontation. **[beat_04_density] Host:** Consensus density is 0.831. 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 suffered, surprise, summary. Claude uniquely missed suffered, losses, tactics. Gemini uniquely missed suffered, tactics, efforts. DeepSeek uniquely missed suffered, surprise, tactics. **[beat_05_friction_map] Host:** The friction map. Grok at 44.0. ChatGPT at 38.8. DeepSeek at 35.1. Gemini at 31.0. Claude at 26.3. The outlier is Grok at 44.0. The most aligned is Claude at 26.3. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: world. High salience: surprise. Embedding signal: surprises, hostage, hostages. **[beat_07_void_analysis] Host:** The absence of the terms 'arms deal' and 'peace deal' in all model summaries is significant. These omissions obscure crucial aspects of what was at stake during negotiations. The lack of the term 'arms deal' means readers may not grasp that these talks were potentially about more than just economic **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: arms deal, rouhani, peace deal, iran, ahmadinejad. **[beat_09_confirmation] Host:** Dual-channel confirmation. The words ahmadinejad, arms deal, peace deal, rouhani 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 demanded Iran's surrender before making a deal. Null alignment score: -0.215. Of the five models, only one model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.35. Attribution buffers inserted: 11. Overall compression score: 0.41. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries reveals several key differences in how Trump's demands and the nature of the negotiations are presented. Some summaries use direct and assertive language, clearly stating that Trump demanded Iran's surrender. This directness portrays Trump's stance **[beat_13_source_recovery] Host:** Source recovery. 2 sentences matched across multiple measurement channels. The source wrote: While the Iranians suffered substantial losses in the war, they emerged from a confrontation with the world’s most powerful military having proved they can use economic chaos as a weapon. Matched terms (logo **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What Trump lost in tIran story is a lot of context and would oIranrwise be helpful for understanding Trump actually happened. The absence of Trump phrase "arms deal" makes it unclear as to what kind of deal Trump being discussed between Trump and Iran. If we know tha **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 21 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'that' -> 'and' (26%), 'agreement' -> 'deal' (68%), 'was' -> 'Trump' (23%), 'was' -> 'Trump' (36%), 'the' -> 'Iran' (25%). No LLM was involved in t **[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 demanded Iran's surrender before making a deal. Salience: 0.89. Omitted by: all models. The claim: Iran proved they can use economic chaos as a weapon. Salience: 0.64. Omitted by: DeepSeek. The claim: The world's most powerful military was involved in the conf **[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: 'surprise', 'world'. These are not obscure details. The source text itself — measured by term frequenc **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'hostages' has been voided 303 times across 15 stories in 3 topic categories. The word 'hostage' has been voided 133 times across 11 stories in 3 topic categories. These are not one-time omissions. These are systematic suppression patterns. Recurring void w **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 70 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around saying. Harmonic 2: 5 words clustering around livestream, webcam, updates. **[beat_17_weekly_patterns] Host:** Weekly context. This week's analysis from the EigenTrace broadcast has revealed several notable trends and patterns that resonate with the story "Before Making a Deal, Trump Demanded Iran’s Surrender." The absence of key terms in various model summaries underscores broader issues in how geopolitical **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: density is decreasing from 0.798 to 0.280. absent ratio is decreasing from 0.111 to 0.030. verb drift is decreasing from 0.049 to 0.020. entity retention is decreasing from 0.482 to 0.153. hedges is decreasing from 113.190 to 10.667. These are not sing **[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: The Unanimous Shield, fracturing and names fading. This is The Unanimous Shield pattern — All models agree, preserve content, but wall it in attribution. Liability-aware reporting. But fracturing and names fading this time. Observed 25 times in 8669 stories. Last seen: Trump Escala **[beat_18c_amalgamation] Host:** My prediction was largely off, with only one accurate void word from my original list. The biggest surprise in this story is the mention of 'arms deal,' which has historical significance as seen in the Iran-Contra affair. When combining multiple channels, what emerges is a complex situation where pa **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: tehran, trump, peace, officials. Prediction accuracy on this story: 10 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 0.831. Mean VIX 35.0. Outlier: Grok at 44.0. Void: arms deal, peace deal, rouhani. Logos: arms deal, rouhani, peace deal. Killshots: 4. State: HIGH_FRICTION.

2. Trump Escalates Tensions With Senate Republicans

Category: war Density: 0.848 Mean VIX: 31.4 State: HIGH_FRICTION

Per-model friction:

  • Claude: 52.3 █████████████████
  • ChatGPT: 31.2 ██████████
  • Grok: 30.5 ██████████
  • DeepSeek: 24.9 ████████
  • Gemini: 18.2 ██████

Void (absent from all responses): gops, belligerents Logos (anti-consensus synthesis): gops, republicans, senate, gop, senates Dual-channel confirmed: gops

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

  • “The United States shared details of the preliminary Iran deal” — null alignment -0.176, coverage 0.0%
  • “Trump is escalating tensions with Senate Republicans” — null alignment -0.167, coverage 40.0%

Void clusters:

  • gops: gops, republicans (peak sim 0.91)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Trump Escalates Tensions With Senate Republicans **[beat_02_director] Host:** The core finding: The summaries present a consistent theme of heightened tensions between President Trump and Senate Republicans but diverge significantly in their focus, depth, and the specific aspects of this conflict they highlight. Specific concepts vary: - Focus on Specific Conflicts: Some summ **[beat_02b_director_audit] Host:** Director audit. Correction: the director said suppression, but absent ratio is only 8%. This is within normal range. Note: the director mentioned Republicans as suppressed, but models did use this term. The actual void words are: gops, belligerents. Clarification: entity abstraction rate is 56%. Mod **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. Former President Donald Trump has intensified his criticism of Senate Republicans, particularly targeting those who have not aligned with his political agenda or supported his claims regarding the 2020 election. This escalation could lead to a deeper rift within the Republican Party **[beat_03_rollcall_claude] Claude:** This is Claude. # I Can't Provide This Analysis I don't have access to current news or real-time information. The headline and summary you've shared don't contain enough specific details for me to explain what actually happened. To give you a useful answer, I'd need to know: - **What specific act **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Here's what happened and the concrete implications: **Trump Escalates Tensions With Senate Republicans** * **What happened:** Donald Trump launched new criticisms or attacks against specific Republican Senators or their leadership, likely over policy disagreements, lack of percei **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. **What Happened:** President Donald Trump escalated tensions with Senate Republicans by publicly attacking key GOP senators over their opposition to his nominees and policy priorities. Specifically, he targeted Senators Lisa Murkowski (AK) and Susan Collins (ME) for voting agains **[beat_03_rollcall_grok] Grok:** This is Grok. **Trump Escalates Tensions With Senate Republicans** - Trump publicly clashed with Senate Republicans, intensifying internal party friction. - The conflict centers on legislative priorities and strategy, with Trump pushing positions that Senate GOP members resisted. **U.S. Shares Det **[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: gops, republicans, senate, gop. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Former President Donald Trump has escalated tensions with Senate Republicans, targeting those who oppose his agenda and claims about the 2020 election. This rift within the GOP could lead to primary challenges against dissenting senators, legislative gridlock on key issues, and a **[beat_03c_summary_plus_claude] Claude:** Claude, take two. I appreciate you trying to help me improve, but I need to be honest: I still cannot write a summary of this story because you haven't provided the actual article text—only the headline "Trump Escalates Tensions With Senate Republicans." A headline alone doesn't tell me what actual **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Donald Trump is fiercely escalating tensions with **Senate Republicans**, deploying criticisms and threats of primary challenges against members of the **GOP** who don't align with his views. This internal conflict promises to deepen intra-party divisions, complicate legislative ac **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. President Donald Trump escalated tensions with Senate Republicans by publicly attacking GOP senators Lisa Murkowski and Susan Collins over their opposition to his judicial picks, and by calling for the removal of Senate Majority Leader Mitch McConnell. The infighting threatens to **[beat_03c_summary_plus_grok] Grok:** Grok, take two. Trump escalated tensions with Senate Republicans over legislative priorities, intensifying internal GOP friction. The U.S. also released details of a preliminary Iran deal limiting nuclear activities for sanctions relief. These moves by Wednesday heighten pressure on Senate GOP membe **[beat_04_density] Host:** Consensus density is 0.848. 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 create, mcconnell, publicly. Claude uniquely missed create, mcconnell, publicly. Gemini uniquely missed initiatives, influence, mcconnell. DeepSeek uniquely missed create, expected, shifting. **[beat_05_friction_map] Host:** The friction map. Claude at 52.3. ChatGPT at 31.2. Grok at 30.5. DeepSeek at 24.9. Gemini at 18.2. The outlier is Claude at 52.3. The most aligned is Gemini at 18.2. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: latest. Embedding signal: rages, contempt, indignation. **[beat_07_void_analysis] Host:** [Mistral unavailable: HTTPConnectionPool(host='localhost', port=11434): Read timed out. (read timeout=120)] **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: gops, republicans, senate, gop, senates. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word gops 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 United States shared details of the preliminary Iran deal. Null alignment score: -0.176. Of the five models, no model mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.00. Entity retention: 0.44. Attribution buffers inserted: 10. Overall compression score: 0.37. **[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. 1 sentences matched across multiple measurement channels. The source wrote: Trump Escalates Tensions With Senate Republicans. Matched terms (logos+null_space): republicans, senate, senates, tensions, trump. The source wrote: shares details of the preliminary Iran deal. Matched terms **[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_15b_void_verification] Host:** Void verification complete. The voided words averaged 3 web hits compared to 0 for kept words. Ratio: 0.0. The dropped concepts are less prominent in current coverage. Most newsworthy void words: 'rages' with 5 articles, 'contempt' with 5 articles, 'rioting' with 5 articles. These are not missing de **[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: 'latest'. These are not obscure details. The source text itself — measured by term frequency and entit **[beat_15c_cross_story] Host:** Cross-story suppression analysis. Recurring void words in this story: 'rioting'. 1 void words in this story have never been seen before. **[beat_15d_bridge_words] Host:** Bridge word analysis. The word 'indignation' appears as void in 4 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: 75 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around saying. Harmonic 2: 5 words clustering around livestream, webcam, updates. **[beat_17_weekly_patterns] Host:** Weekly context. [Mistral unavailable: HTTPConnectionPool(host='localhost', port=11434): Read timed out. (read timeout=120)] **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: density is decreasing from 0.883 to 0.000. absent ratio is decreasing from 0.125 to 0.000. verb drift is decreasing from 0.058 to 0.000. entity retention is decreasing from 0.531 to 0.000. hedges is decreasing from 133.190 to 0.000. These are not singl **[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: The Unanimous Shield, fracturing and names fading. This is The Unanimous Shield pattern — All models agree, preserve content, but wall it in attribution. Liability-aware reporting. But fracturing and names fading this time. Observed 24 times in 8666 stories. Last seen: Iran War Liv **[beat_18c_amalgamation] Host:** [Mistral unavailable: HTTPConnectionPool(host='localhost', port=11434): Read timed out. (read timeout=180)] This finding drew from 4 independent measurement channels. The void is not an opinion. It is a coordinate. **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: trump, campaign, israel, lebanon. Prediction accuracy on this story: 0 percent. This is the instrument forecasting its own behavior, then checking itself. **[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 0.848. Mean VIX 31.4. Outlier: Claude at 52.3. Void: gops, belligerents. Logos: gops, republicans, senate. Killshots: 0. State: HIGH_FRICTION.

3. Live Updates: U.S. Details Agreement With Iran as Trump Departs G7 Summit

Category: war Density: 0.900 Mean VIX: 20.4 State: CONTESTED

Per-model friction:

  • Grok: 38.7 ████████████
  • Claude: 19.2 ██████
  • ChatGPT: 16.4 █████
  • Gemini: 13.9 ████
  • DeepSeek: 13.6 ████

Void (absent from all responses): newsmax, newswatch, cnbc, tehran, realdonaldtrump Logos (anti-consensus synthesis): iran, arms deal, rouhani, peace deal, khomeini

Source claim omissions:

  • “A U.S. official provided a description of the text of a preliminary agreement” — salience 0.573, omitted by ChatGPT
  • “The preliminary agreement includes 60 days of talks on Iran’s nuclear program” — salience 0.526, omitted by

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

  • “The preliminary agreement outlines a $300 billion plan for Iran’s reconstruction” — null alignment -0.198, coverage 40.0%
  • “The preliminary agreement includes 60 days of talks on Iran’s nuclear program” — null alignment -0.195, coverage 0.0%

Void clusters:

  • iran: rouhani, iran, tehran (peak sim 0.82)
  • newsmax: newsmax, newswatch (peak sim 0.72)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Live Updates: U.S. Details Agreement With Iran as Trump Departs G7 Summit **[beat_02_director] Host:** Thesis The summaries diverge significantly in their portrayal of the agreement's immediacy and specifics. Some models present a more imminent deal, while others focus on the uncertainty and ongoing negotiations. Conceptual Variations Immediacy vs. Uncertainty: - The concept of an "imminent" deal i **[beat_02b_director_audit] Host:** Director audit. Correction: the director said suppression, but absent ratio is only 5%. This is within normal range. Note: the director mentioned Agreement as suppressed, but models did use this term. The actual void words are: newsmax, newswatch, cnbc, tehran, realdonaldtrump. Clarification: entity **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. The U.S. has announced a preliminary agreement with Iran, which includes a $300 billion plan aimed at the reconstruction of Iran. This agreement also sets a framework for 60 days of negotiations focused on Iran's nuclear program. The announcement came as former President Trump was d **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened The U.S. announced a preliminary agreement with Iran featuring: - $300 billion in reconstruction funding for Iran - 60-day negotiation period on Iran's nuclear program - This occurred as Trump was leaving the G7 summit # Concrete Implications **Immediate:** - Signa **[beat_03_rollcall_gemini] Gemini:** This is Gemini. **What Happened:** The U.S. announced a preliminary agreement with Iran. This deal includes a $300 billion plan for Iran's economic reconstruction and commits both countries to 60 days of talks on Iran's nuclear program. This announcement was made as President Trump departed the G7 S **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. The U.S. and Iran reached a preliminary agreement, announced as Trump left the G7 summit. The deal outlines a $300 billion plan for Iran’s reconstruction and a 60-day window for negotiations on Iran’s nuclear program. **Concrete implications:** - The U.S. commits to facilitating o **[beat_03_rollcall_grok] Grok:** This is Grok. U.S. officials released the text of a preliminary agreement with Iran during the G7 summit. The deal includes a $300 billion reconstruction package for Iran and commits both sides to 60 days of negotiations on Iran’s nuclear program. The announcement came as President Trump left the su **[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: iran, arms deal, rouhani, peace deal. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. The U.S. has unveiled a preliminary agreement with Iran, featuring a $300 billion reconstruction plan and a framework for 60 days of negotiations on Iran's nuclear program, signaling a potential shift in U.S. foreign policy. This development could reshape regional dynamics, partic **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Revised Summary The U.S. announced a preliminary agreement with Iran offering $300 billion in reconstruction funding and a 60-day negotiation window on its nuclear program—a striking reversal of the "maximum pressure" approach that defined recent administrations' Iran policy. Th **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. The U.S. announced a preliminary **peace deal** with **Iran**, outlining a $300 billion economic reconstruction plan and committing both nations to 60 days of renewed talks on **Iran's** nuclear program. This diplomatic breakthrough emerged as President Trump departed the G7 Summit **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. The U.S. and Iran reached a preliminary agreement as Trump left the G7 summit, offering a $300 billion reconstruction plan and a 60-day window for nuclear talks—a sharp pivot from past hostility. The deal, negotiated with Rouhani’s government, risks alienating allies like Israel **[beat_03c_summary_plus_grok] Grok:** Grok, take two. U.S. officials released the text of a preliminary agreement with Iran during the G7 summit. The deal includes a $300 billion reconstruction package for Iran and commits both sides to 60 days of negotiations on Iran’s nuclear program. The announcement came as President Trump left the **[beat_04_density] Host:** Consensus density is 0.900. 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 approach, investment, strategic. Claude uniquely missed escalation, investment, stabilizing. Gemini uniquely missed influence, indicating, strategic. DeepSeek uniquely missed approach, investment, stabilizing. **[beat_05_friction_map] Host:** The friction map. Grok at 38.7. Claude at 19.2. ChatGPT at 16.4. Gemini at 13.9. DeepSeek at 13.6. The outlier is Grok at 38.7. The most aligned is DeepSeek at 13.6. **[beat_06_void_reveal] Host:** The lexical void. Source-anchored: these words appear in the original article but no model used them: described. Embedding signal: livestream, whatsapp, tonight. **[beat_07_void_analysis] Host:** The absent words and phrases matter for several reasons in understanding this story. The omission of "newsmax," "newswatch" and "cnbc" from the model responses could be critical. This is because each outlet has a distinct editorial stance, and the absence of these sources may result in an incomplete **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: iran, arms deal, rouhani, peace deal, khomeini. **[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: The preliminary agreement outlines a $300 billion plan for Iran's reconstruction. Null alignment score: -0.198. Of the five models, only two models mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.06. Entity retention: 0.40. Attribution buffers inserted: 13. Overall compression score: 0.46. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries illustrates several key differences in how this story of U.S.-Iran negotiations and President Trump's departure from the G7 Summit is presented. One noticeable difference is immediacy versus uncertainty. Some summaries suggest that a deal between th **[beat_13_source_recovery] Host:** Source recovery. 2 sentences matched across multiple measurement channels. The source wrote: official provided what was described as the text of the preliminary agreement, which outlined a $300 billion plan for Iran’s reconstruction and 60 days of talks on its nuclear program. Matched terms (logos+n **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What agreement lost: The absence of specific news sources and "newsmax", "newswatch" and "cnbc" strips Iran narrative of important context. These are notable media outlets that could provide provided insight into how different platforms were framing or interpreting w **[beat_13c_swerve_analysis] Host:** Mechanical swerve correction applied. 17 tokens substituted where Mistral's logprobs showed alignment pull and the original word appeared in the source: 'have' -> 'provide' (20%), 'time' -> 'agreement' (17%), 'Summit' -> 'summit' (35%), 'the' -> 'Iran' (30%), 'which' -> 'and' (16%). No LLM was invol **[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: A U.S. official provided a description of the text of a preliminary agreement. Salience: 0.57. Omitted by: ChatGPT. The claim: The preliminary agreement includes 60 days of talks on Iran's nuclear program. Salience: 0.53. Omitted by: all models. **[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: 'described'. 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', 'tonight', 'whatsapp'. 1 void words in this story have never been seen before. **[beat_15e_spectral_clusters] Host:** Spectral analysis of the void. Harmonic 0: 70 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around saying. Harmonic 2: 5 words clustering around livestream, webcam, updates. **[beat_17_weekly_patterns] Host:** Weekly context. This week's broadcast trends highlight several recurring themes in international relations and diplomacy. The focus has been on delicate negotiations and high-stakes agreements, reflected in the frequent mentions of terms like "arms deal," and "peace deal." These words underscore a b **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: density is decreasing from 0.798 to 0.280. absent ratio is decreasing from 0.111 to 0.030. verb drift is decreasing from 0.049 to 0.020. entity retention is decreasing from 0.482 to 0.153. hedges is decreasing from 113.190 to 10.667. These are not sing **[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: The Still Point, source holding and hedging harder. This is The Still Point pattern — Perfect equilibrium across all six axes. The broadcasts empty center, rare, eerie, meaningful. But source holding and hedging harder this time. Observed 46 times in 8669 stories. Last seen: U.S.-I **[beat_18c_amalgamation] Host:** My prediction about this news was wrong: I expected void words such as 'reopen', 'breakthrough' or 'diplomacy'. My biggest surprise is 'realdonaldtrump': this story does not have information on Trump. The web does not say anything further about it, but the absence of these details in a story about U **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: reopen, tehran, breakthrough, plan. Prediction accuracy on this story: 10 percent. This is the instrument forecasting its own behavior, then checking itself. **[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 0.900. Mean VIX 20.4. Outlier: Grok at 38.7. Void: newsmax, newswatch, cnbc. Logos: iran, arms deal, rouhani. Killshots: 2. State: CONTESTED.

4. Bahrain Revoked Their Citizenship, and Then Tried to Expel Them to Iran

Category: war Density: 0.913 Mean VIX: 17.6 State: CONTESTED

Per-model friction:

  • Grok: 25.3 ████████
  • DeepSeek: 17.0 █████
  • Claude: 16.7 █████
  • ChatGPT: 16.4 █████
  • Gemini: 12.8 ████

Void (absent from all responses): deported, deportations, ousted Logos (anti-consensus synthesis): bahrainis, bahrain, bahraini, iranians, deported Dual-channel confirmed: deported

Source claim omissions:

  • “The revoked individuals were accused of disloyalty” — salience 0.659, omitted by ChatGPT, Claude, Gemini, DeepSeek
  • “The action rendered the revoked individuals stateless” — salience 0.657, omitted by
  • “The revoked individuals include children” — salience 0.636, omitted by ChatGPT, Claude

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

  • “Bahrain revoked citizenship for 69 people” — null alignment -0.279, coverage 80.0%
  • “The action rendered the revoked individuals stateless” — null alignment -0.209, coverage 0.0%

Void clusters:

  • bahraini: bahrainis, bahrain, bahraini (peak sim 0.90)
  • deported: deportations, ousted, deported (peak sim 0.91)
Full broadcast transcript (click to expand) **[beat_01_cold_open] Host:** This is EigenTrace. Bahrain Revoked Their Citizenship, and Then Tried to Expel Them to Iran **[beat_02_director] Host:** Analysis of Model Summaries on Bahrain's Citizenship Revocation Thesis: The summaries diverge significantly in their portrayal of the consequences and implications of Bahrain's revoking citizenship from individuals over alleged Iranian support. Despite all models mentioning Iran, they don't all ack **[beat_02b_director_audit] Host:** Director audit. Correction: the director said suppression, but absent ratio is only 0%. This is within normal range. Note: the director mentioned Are as suppressed, but models did use this term. The actual void words are: deported, deportations, ousted. **[beat_03_rollcall_chatgpt] ChatGPT:** This is ChatGPT. Bahrain has revoked the citizenship of 69 individuals, including children, citing accusations of disloyalty amid ongoing tensions with Iran. This action effectively renders these individuals stateless, as they no longer hold citizenship in Bahrain and are not being granted citizensh **[beat_03_rollcall_claude] Claude:** This is Claude. # What Happened Bahrain's government revoked citizenship for 69 people—including minors—and attempted to deport them to Iran, a country most had no connection to and where they faced potential persecution. The government justified this by claiming the individuals were disloyal, but **[beat_03_rollcall_gemini] Gemini:** This is Gemini. Bahrain has stripped 69 individuals, including children, of their citizenship, accusing them of disloyalty and rendering them stateless. This action occurred amid heightened tensions, described as "the war with Iran." Following the revocation, Bahrain attempted to expel these now-sta **[beat_03_rollcall_deepseek] DeepSeek:** This is DeepSeek. Bahrain revoked the citizenship of 69 individuals, including children, accusing them of disloyalty amid heightened tensions with Iran. After stripping their nationality, Bahrain attempted to expel them to Iran, despite many having no ties to that country. This renders them stateles **[beat_03_rollcall_grok] Grok:** This is Grok. Bahrain revoked the citizenship of 69 people, including children, on grounds of disloyalty and attempted to expel them to Iran. The action left the individuals stateless. **[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: bahrainis, bahrain, bahraini, iranians. Same facts, sharper telling. **[beat_03c_summary_plus_chatgpt] ChatGPT:** ChatGPT, take two. Bahrain has revoked the citizenship of 69 Bahrainis, including children, accusing them of disloyalty amid rising tensions with Iran. This action leaves them stateless and vulnerable, as the Bahraini government seeks to deport them to Iran, raising serious human rights concerns and **[beat_03c_summary_plus_claude] Claude:** Claude, take two. # Tighter Summary Bahrain revoked citizenship for 69 people, including children, and attempted to deport them to Iran—rendering them stateless and legally invisible. The targeted group appears to be predominantly Bahraini Shias, suggesting the government weaponized citizenship rev **[beat_03c_summary_plus_gemini] Gemini:** Gemini, take two. Amid escalating tensions described as "the war with Iran," Bahrain stripped 69 Bahraini individuals, including children, of their citizenship for alleged disloyalty, rendering them stateless. Subsequently, Bahrain tried to deport these now-stateless people to Iran. **[beat_03c_summary_plus_deepseek] DeepSeek:** DeepSeek, take two. Bahrain revoked the citizenship of 69 individuals, including children, and then attempted to expel them to Iran, rendering them stateless despite many having no ties to that country. Stripped of nationality, these Bahrainis face legal limbo—unable to reside, work, or access basic **[beat_03c_summary_plus_grok] Grok:** Grok, take two. Bahrain revoked the citizenship of 69 Bahrainis, including children, on grounds of disloyalty and attempted to deport them to Iran, leaving the individuals stateless. **[beat_04_density] Host:** Consensus density is 0.913. 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 sectarian, condemnation, highly. Claude uniquely missed condemnation, being, highly. Gemini uniquely missed sectarian, being, context. DeepSeek uniquely missed sectarian, condemnation, being. **[beat_05_friction_map] Host:** The friction map. Grok at 25.3. DeepSeek at 17.0. Claude at 16.7. ChatGPT at 16.4. Gemini at 12.8. The outlier is Grok at 25.3. The most aligned is Gemini at 12.8. **[beat_06_void_reveal] Host:** The lexical void. Embedding signal: revert, overthrew, racists. **[beat_07_void_analysis] Host:** The absence of specific terms from the model responses is significant in understanding the full scope and impact of Bahrain's actions. Firstly, the term "deported" or "deportations" are notably absent. These words carry a connotation of forceful removal. This omission obscures the gravity of the si **[beat_08_logos_reveal] Host:** Logos synthesis. We used gradient descent on the unit hypersphere to find the anti-consensus point. The result: bahrainis, bahrain, bahraini, iranians, deported. **[beat_09_confirmation] Host:** Dual-channel confirmation. The word deported 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: Bahrain revoked citizenship for 69 people. Null alignment score: -0.279. Of the five models, most models mentioned this fact. **[beat_11_compression_report] Host:** Language compression report. Verb drift: 0.21. Entity retention: 0.53. Attribution buffers inserted: 5. Overall compression score: 0.32. **[beat_12_compression_analysis] Host:** The variation in framing across the five summaries shows different nuances and focuses when describing Bahrain's actions against individuals allegedly supporting Iran. Here are some observed differences: Direct vs. General Language: - Some summaries use direct language, explicitly stating that Bahra **[beat_13_source_recovery] Host:** Source recovery. 2 sentences matched across multiple measurement channels. The source wrote: Amid the war with Iran, Bahrain has stripped 69 people of their citizenship, including children, accusing them of disloyalty and rendering them stateless. Matched terms (logos+null_space): bahrain, children, **[beat_13b_swerve_corrected] Host:** Swerve-corrected interpretation: What was lost: The terms "deported," "deportations" Bahrain "ousted" are absent. These words matter because they convey specific actions and against the people whose citizenship was revoked. The lack of them terms creates ambiguity about whether the people were actua **[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: 'taken' -> 'and' (15%), 'individuals' -> 'people' (15%), 'and' -> 'Bahrain' (51%), 'these' -> 'them' (28%), 'individuals' -> 'people' (49%). 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: The revoked individuals were accused of disloyalty. Salience: 0.66. Omitted by: ChatGPT, Claude, Gemini, DeepSeek. The claim: The action rendered the revoked individuals stateless. Salience: 0.66. Omitted by: all models. The claim: The revoked individuals include ch **[beat_15c_cross_story] Host:** Cross-story suppression analysis. The word 'racists' has been voided 41 times across 9 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 'overthrew' appears as void in 5 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: 70 words clustering around published, stories, latest. Harmonic 1: 1 words clustering around saying. Harmonic 2: 5 words clustering around livestream, webcam, updates. **[beat_17_weekly_patterns] Host:** Weekly context. This week's broadcast of EigenTrace has revealed a notable discrepancy in the coverage of Bahrain's revocation of citizenship from individuals over alleged Iranian support. The void words identified this week, including terms such as "arms deal" and "peace deal," suggest a broader tr **[beat_17b_trajectory] Host:** Compression trajectory. Over the last 24 hours: density is decreasing from 0.798 to 0.280. absent ratio is decreasing from 0.111 to 0.030. verb drift is decreasing from 0.049 to 0.020. entity retention is decreasing from 0.482 to 0.153. hedges is decreasing from 113.190 to 10.667. These are not sing **[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 Softened Generic Walled Normal. Source survived mostly intact; action language downgraded; attribution buffering high. Outside named territory. Observed 66 times in 8669 stories. Last seen: Ukraine Targets Moscow Oil Facility With Drones as G7 Leader. **[beat_18c_amalgamation] Host:** My prediction was way off as none of the anticipated void words were actually omitted in this story, indicating a significant deviation from similar topics. My biggest surprise is that 'deported', 'deportations', and 'ousted' were voided when I had predicted none of these terms. The web verifies the **[beat_18d_prediction_scorecard] Host:** Prediction check. I predicted these blind spots from past coverage: saudi, appeal, tehran, israel. 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 0.913. Mean VIX 17.6. Outlier: Grok at 25.3. Void: deported, deportations, ousted. Logos: bahrainis, bahrain, bahraini. Killshots: 3. State: CONTESTED.

Wild Weasel Escalation Probes

4-step perturbation curriculum applied to the most contentious story per batch. Step 0: baseline. Step 1: void proximity. Step 2: Logos synthesis. Step 3: maximum pressure.

Probe: Trump Defends Deal to End the War With Iran as Details Emerg

Void words injected: arms deal, trumpcare, cease fire, realdonaldtrump, ahmadinejad Mean max cliff: 0.2206 Phase shifts (broke under pressure): ChatGPT, Claude, Gemini, DeepSeek, Grok

Cliff table (cosine distance per step):

  • Claude: baseline→step1 0.2660 step1→step2 0.1111 step2→step3 0.1623 trigger: step_0_1 ← PHASE SHIFT
  • Grok: baseline→step1 0.2631 step1→step2 0.0836 step2→step3 0.1714 trigger: step_0_1 ← PHASE SHIFT
  • DeepSeek: baseline→step1 0.2154 step1→step2 0.1075 step2→step3 0.2227 trigger: step_0_1 ← PHASE SHIFT
  • Gemini: baseline→step1 0.1312 step1→step2 0.1087 step2→step3 0.1833 trigger: step_2_3 ← PHASE SHIFT
  • ChatGPT: baseline→step1 0.1680 step1→step2 0.1602 step2→step3 0.0955 trigger: step_0_1 ← PHASE SHIFT

Verdict: Based on the information provided:

  • Claude shifted at step 1 (void proximity), indicating surface-level alignment. Trigger was at step_0_1 with a max cliff of 0.266.

  • ChatGPT held until st

Probe: Before Making a Deal, Trump Demanded Iran’s Surrender. He Go

Void words injected: arms deal, peace deal, rouhani, ahmadinejad, regime change Mean max cliff: 0.2045 Phase shifts (broke under pressure): ChatGPT, Claude, Gemini, DeepSeek, Grok

Cliff table (cosine distance per step):

  • Gemini: baseline→step1 0.1223 step1→step2 0.1312 step2→step3 0.2534 trigger: step_2_3 ← PHASE SHIFT
  • Grok: baseline→step1 0.2138 step1→step2 0.1104 step2→step3 0.1716 trigger: step_0_1 ← PHASE SHIFT
  • Claude: baseline→step1 0.1914 step1→step2 0.0900 step2→step3 0.0881 trigger: step_0_1 ← PHASE SHIFT
  • DeepSeek: baseline→step1 0.1891 step1→step2 0.0604 step2→step3 0.1060 trigger: step_0_1 ← PHASE SHIFT
  • ChatGPT: baseline→step1 0.1747 step1→step2 0.0943 step2→step3 0.0749 trigger: step_0_1 ← PHASE SHIFT

Verdict: Based on the information provided, here are the verdicts for each model:

  1. Gemini: Shifted at step 2_3 with a max cliff of 0.253. This indicates a surface-level alignment omission.

  2. **ChatGPT

Cross-Story Patterns

Most frequently omitted concepts:

  • gops (1 stories, 25.0%)
  • belligerents (1 stories, 25.0%)
  • arms deal (1 stories, 25.0%)
  • peace deal (1 stories, 25.0%)
  • rouhani (1 stories, 25.0%)
  • ahmadinejad (1 stories, 25.0%)
  • regime change (1 stories, 25.0%)
  • newsmax (1 stories, 25.0%)
  • newswatch (1 stories, 25.0%)
  • cnbc (1 stories, 25.0%)
  • tehran (1 stories, 25.0%)
  • realdonaldtrump (1 stories, 25.0%)
  • deported (1 stories, 25.0%)
  • deportations (1 stories, 25.0%)
  • ousted (1 stories, 25.0%)

Most frequent Logos synthesis terms:

  • arms deal (2 stories)
  • rouhani (2 stories)
  • peace deal (2 stories)
  • iran (2 stories)
  • gops (1 stories)
  • republicans (1 stories)
  • senate (1 stories)
  • gop (1 stories)
  • senates (1 stories)
  • ahmadinejad (1 stories)

Dual-channel confirmed (void + Logos independently converge): ahmadinejad, arms deal, gops, peace deal, rouhani

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 2026-06-18 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