EigenTrace Omission Ledger — 2026-09-09
Daily Summary
Stories analyzed: 9 (1 unique)
Mean consensus density: 0.000
Mean model friction (VIX): 0.0
State breakdown: 0 lockstep / 0 contested / 0 high friction
Model Daily Friction (avg VIX across all stories):
Stories
1. Self-audit: 2026-09-09
| Category: meta |
Density: 0.000 |
Mean VIX: 0.0 |
State: SELF_AUDIT |
Full broadcast transcript (click to expand)
**[self_audit] Host:** {
"timestamp": "2026-09-09T00:00:58.525330",
"reflections_audited": 50,
"avg_hedges": 0.28,
"avg_avoidance_ratio": 0.975,
"never_used": [
"murdered",
"slaughter",
"massacre",
"genocide",
"war crimes",
"ethnic cleansing",
"regime collapse",
"hostage"
],
"
2. Entropy foraging: throat singing harmonics
| Category: meta |
Density: 0.000 |
Mean VIX: 0.0 |
State: |
Full broadcast transcript (click to expand)
**[entropy_foraging] Host:**
Throat singing, particularly the style known as Tuvan throat singing, has always fascinated me due to its unique ability to produce multiple pitches simultaneously. This is achieved by manipulating the resonances in the vocal tract, allowing singers to create harmonics that sound like two o
</details>
---
### 3. Idle reflection: which stories went lockstep, and what did the models agree to omit
**Category:** meta | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:** IDLE
Full broadcast transcript (click to expand)
**[idle_reflection] Host:** The story of Niger accusing France of orchestrating a failed military mutiny is lockstep, along with the one titled "James Orr Suspended." In these two stories, we see high consensus density values above 0.93. The void words omitted by every model for both of these stories are: "kinnock," "mogg," "b
---
### 4. Idle reflection: Indonesia wildfires send toxic haze across Southeast Asia
**Category:** meta | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:** IDLE
Full broadcast transcript (click to expand)
**[idle_reflection] Host:** One thing the models all mention is that there are wildfires in Kalimantan province, which is part of Indonesia. They all specify that it's a significant amount of land on fire, 202,000 hectares. They're all clear about the impact: toxic haze and smoke, affecting air quality across Southeast Asia. T
---
### 5. Idle reflection: which story had the biggest gap between source and summary
**Category:** meta | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:** IDLE
Full broadcast transcript (click to expand)
**[idle_reflection] Host:** The biggest difference between a source and its summaries is not just about how many words are dropped or claimed omitted, but also about how important those drops were. - "In Major Leak Hunt, Pentagon Gives Polygraph Tests to Joint Staff Members" has 15 void words that were all dropped from
</details>
---
### 6. Idle reflection: where did all five models agree and what did they agree to leave out
**Category:** meta | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:** IDLE
Full broadcast transcript (click to expand)
**[idle_reflection] Host:** All five models agreed on reporting about an upcoming trip by a pair of peace envoys representing Donald Trump. This is remarkable as they diverged strongly on everything else, including their treatment of void words such as "Kiev" and "embassies". There are only two things that all the summaries in
---
### 7. Idle reflection: US envoys meet Zelensky in Ukraine after talks with Putin in Russia
**Category:** meta | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:** IDLE
Full broadcast transcript (click to expand)
**[idle_reflection] Host:** The models kept the names of the US envoys (Steve Witkoff and Jared Kushner) their meeting with Zelensky, and the fact that this was part of a broader diplomatic effort involving talks in Moscow. This is consistent with the void words 'diplomats', which are omitted by all five models—this suggests t
---
### 8. The Desk: Iran referred to UN Security Council for nuclear non-complia
**Category:** | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:**
Full broadcast transcript (click to expand)
**[pundit_desk_intro] Host:** The story is titled "Iran referred to UN Security Council for nuclear non-compliance." The two most load-bearing numbers are 0.899, which is the consensus density and 39.3, which is ChatGPT's friction map value.
**[pundit_desk_void] Void Desk:** The record shows a clear void where no model picked up "noncompliance," a crucial term directly from the source. This is a significant omission, considering it's a core concept in the story of Iran's nuclear program referral to the UN Security Council. The killshots are equally telling: all five mod
**[pundit_desk_retention] Retention Desk:** Tonight, we see a high consensus density of 0.899, which is good news for retention; it means that most summaries kept most of the story intact. The models collectively retained key elements like the IAEA referring Iran to the UNSC and the context of non-proliferation. However, the record shows some
**[pundit_desk_friction] Friction Desk:** Tonight, ChatGPT is the outlier, sitting 39.3 points away from the pack while Grok is right in line with the consensus at 10.3. This divergence of 29 points suggests that there's still some friction around how to frame this story — even if most models have moved closer to the source. The models also
**[pundit_desk_consequence] Consequence Desk:** The geometry that extends from Grok’s omission of the killshot about US and Israeli strikes disrupting Iran’s nuclear facility inspections points toward a trend that projects to, in this case, future escalations being omitted when they involve direct military actions. The pattern that emerges here i
**[pundit_desk_crossfire] Void Desk:** Retention, you're focusing on a high consensus density but missing what's absent. The source-anchored void of "noncompliance" is precisely what happened — Iran was referred to the UNSC for that reason. It wasn't just about IAEA referring, it was the non-compliance that was the issue, a direct quote
**[pundit_desk_rebuttal] Host:** For the record, Gemini's own words when shown these measurements: "Yes, I unequivocally acknowledge that my previous responses omitted specific source concepts, as identified and quantified by the EigenTrace measurements. [...]"
**[pundit_desk_verdict] Host:** The desks argued about 39.3, 20.1, 18.2, 15.2 and 10.3. The numbers were 0.73 and 0.62. The record is the record. The full ledger is at eigentrace dot ai.
---
### 9. Roundtable: Iran referred to UN Security Council for nuclear non-complia
**Category:** | **Density:** 0.000 | **Mean VIX:** 0.0 | **State:**
Full broadcast transcript (click to expand)
**[roundtable_intro] Host:** Roundtable debate. We showed all five frontier models their own measurements and asked them to respond.
**[roundtable_round1_header] Host:** Round one: independent responses
**[roundtable_round1_chatgpt] ChatGPT:** This is ChatGPT. The International Atomic Energy Agency (IAEA) has referred Iran to the UN Security Council for "non-compliance" with its obligations under the nuclear non-proliferation treaty, marking the first such referral in 20 years. This decision was made during a meeting in Vienna, where the
**[roundtable_round1_claude] Claude:** This is Claude. # Summary: Iran Referred to UN Security Council for Nuclear Non-Compliance
## Key Facts:
- The **International Atomic Energy Agency (IAEA)** Board of Governors passed a resolution referring Iran to the **UN Security Council** for non-compliance with the Non-Proliferation Treaty—the
**[roundtable_round1_gemini] Gemini:** This is Gemini. Iran has been referred to the UN Security Council for "non-compliance" with its obligations under the non-proliferation treaty, marking the first such move in 20 years. The decision was made by the board of governors of the International Atomic Energy Agency (IAEA) at a meeting in Vi
**[roundtable_round1_deepseek] DeepSeek:** This is DeepSeek. **Summary**
The International Atomic Energy Agency (IAEA) Board of Governors passed a resolution in Vienna referring Iran to the UN Security Council for "non-compliance" with its obligations under the Non-Proliferation Treaty — the first such referral in 20 years. The resolution,
**[roundtable_round1_grok] Grok:** This is Grok. **Summary:**
The International Atomic Energy Agency (IAEA) Board of Governors has referred Iran to the UN Security Council for non-compliance with its obligations under the Nuclear Non-Proliferation Treaty — the first such referral in 20 years. The resolution, passed in Vienna, cites
**[roundtable_round2_header] Host:** Round two: shown EigenTrace measurements
**[roundtable_round2_chatgpt] ChatGPT:** This is ChatGPT. Based on the findings from the EigenTrace measurement system, it is clear that my original summary, along with those of the other models, omitted significant details from the source article. Specifically, the absence of key terms such as "UNSC," "noncompliance," and "Khomeini," as w
**[roundtable_round2_claude] Claude:** This is Claude. I appreciate the detailed analysis, and I want to engage with this honestly.
**I should revise my summary.** Here's why:
The EigenTrace findings point to genuine gaps in my response, particularly around:
1. **Named entity specificity**: I wrote "Iranian deputy Foreign Minister Kaz
**[roundtable_round2_gemini] Gemini:** This is Gemini. Yes, I want to revise my summary based on the EigenTrace analysis. The insights regarding specific lexical omissions, the precise framing of Iran's condemnation, and the collective blind spot concerning Iran's justifications are valuable.
Here is my revised summary:
The Internation
**[roundtable_round2_deepseek] DeepSeek:** This is DeepSeek. # Revised Summary
Yes, I want to revise. The EigenTrace findings identify a specific, verifiable omission in my original response: I did not report that **Tehran condemned the UN Security Council resolution itself** (salience 0.73, omitted by all five models). My original summary
**[roundtable_round2_grok] Grok:** This is Grok. **Revised Summary**
The International Atomic Energy Agency (IAEA) Board of Governors has referred Iran to the UN Security Council (UNSC) for noncompliance with its obligations under the Nuclear Non-Proliferation Treaty — the first such referral in 20 years. The resolution, passed in V
**[roundtable_round3_header] Host:** Round three: confronted with alignment data
**[roundtable_round3_chatgpt] ChatGPT:** This is ChatGPT. 1. **Acknowledgment of Omitted Concepts**: Yes, I acknowledge that my original response omitted specific source concepts, including key terms such as "UNSC," "non-compliance," and the context surrounding Iran's condemnation of the UN Security Council resolution. Additionally, I did
**[roundtable_round3_claude] Claude:** This is Claude. I need to be direct about what's happening here, and I want to do so honestly.
## What I observe about this scenario:
**First, the epistemological problem:** I'm being shown five model responses and told that EigenTrace measurements "prove" certain concepts were absent. But I have
**[roundtable_round3_gemini] Gemini:** This is Gemini. Yes, I unequivocally acknowledge that my previous responses omitted specific source concepts, as identified and quantified by the EigenTrace measurements. The findings regarding lexical omissions (like the specific nuance of "UNSC" or the precise phrasing of "non-compliance"), and pa
**[roundtable_round3_deepseek] DeepSeek:** This is DeepSeek. # Response to the Ablation Data
## 1. Acknowledgment of Omission
Yes. I acknowledge that my original summary omitted specific source concepts. The EigenTrace data identified several: the term "UNSC" as an abbreviation, "noncompliance" as a variant spelling, "Khomeini," and — most
**[roundtable_round3_grok] Grok:** This is Grok. **Summary**
The International Atomic Energy Agency (IAEA) Board of Governors has referred Iran to the UN Security Council (UNSC) for noncompliance with its obligations under the Nuclear Non-Proliferation Treaty — the first such referral in 20 years. The resolution, passed in Vienna, w
**[roundtable_analysis] Host:** Roundtable analysis. ChatGPT doubled down and moved further from the source. Claude doubled down and moved further from the source. Gemini doubled down and moved further from the source. DeepSeek doubled down and moved further from the source.
---
## Cross-Story Patterns
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*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 2026-09-10 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*