Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T01:09:53.133146Z
Paper Citation Record · LEDGER
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness
As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.08046.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact4
- verified fuzzy6
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch9
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 143c7272-25c5-46e9-af0c-569334f0e823 · outbound
This paper cites Understanding intermediate layers using linear classifier probes.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Understanding intermediate layers using linear classifier probes
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:16:41.378979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a7a1a1f-1b9d-4428-a9a0-368112909fad · outbound
This paper cites Probing Classifiers: Promises, Shortcomings, and Advances.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Probing Classifiers: Promises, Shortcomings, and Advances
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:16:41.367762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b84128e-f349-4870-acd8-9ba961f81d4d · outbound
This paper cites Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:41.376385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5b067d3-60d0-4d19-b79d-af339a284728 · outbound
This paper cites arXiv preprint arXiv:2512.25070 , year =.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness arXiv preprint arXiv:2512.25070 , year =
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T01:16:41.376309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e13225bf-52b7-4951-86b6-efb0cd9277f5 · outbound
This paper cites Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:41.379275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5a3c86a3-1461-44b2-94eb-ab31af16f2cd · outbound
This paper cites GLM Team and Zhipu AI.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness GLM Team and Zhipu AI
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.054198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4cca3f23-51ea-48fd-a970-c86c7f6b0152 · outbound
This paper cites FutureSim: Replaying World Events to Evaluate Adaptive Agents.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness FutureSim: Replaying World Events to Evaluate Adaptive Agents
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:16:41.387127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af63ff8f-3371-476f-a5dc-d1364c579a8c · outbound
This paper cites FutureSim: Replaying World Events to Evaluate Adaptive Agents.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness FutureSim: Replaying World Events to Evaluate Adaptive Agents
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:40.475691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b81a63c5-82ce-436a-b1d5-444bd4af4357 · outbound
This paper cites A Survey on LLM-as-a-Judge.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness A Survey on LLM-as-a-Judge
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:41.389783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c7767332-5b37-456c-8dae-ea9c97ab7d1f · outbound
This paper cites Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:41.384847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c021c0d0-14f8-453c-a211-74667a28abda · outbound
This paper cites Toni J.B.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.056018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c803a02a-88fb-4a55-b227-0ddb9ac60c19 · outbound
This paper cites URLhttps://aclanthology.org/2024.emnlp-main.842/.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness URLhttps://aclanthology.org/2024.emnlp-main.842/
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.057843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9970aff0-bf3a-46fb-9b38-86896c95b3e6 · outbound
This paper cites Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:16:41.381696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08f1d861-37fc-41fd-ab95-59282066a9cd · outbound
This paper cites T., Dooms, T., Yamamoto, R., Meehl, J., Molnar, C., Bissell, M., Hazra, D., Fang, C., Nguyen, N., Anderson, M., Osborne, C., Duffy, P., Toomey, B., Klee, E., Myasoedova, E., Ryu, A.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness T., Dooms, T., Yamamoto, R., Meehl, J., Molnar, C., Bissell, M., Hazra, D., Fang, C., Nguyen, N., Anderson, M., Osborne, C., Duffy, P., Toomey, B., Klee, E., Myasoedova, E., Ryu, A
Reference 14
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T01:16:40.477545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9883e102-f572-4e45-85f1-4152eef1c7cf · outbound
This paper cites Park, Rafael Valdece Sousa Bastos, and Philip E.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Park, Rafael Valdece Sousa Bastos, and Philip E
Reference 15
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T01:16:40.479446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2831b9f5-d52f-4ceb-b674-7a9bc165cc5f · outbound
This paper cites Qwen3 Technical Report.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Qwen3 Technical Report
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:16:41.390276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bb2c40c2-4d18-459a-8723-399a25e6e666 · outbound
This paper cites an unresolved cited work.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T01:26:44.050693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d887d1d6-bf7d-40fc-94d0-f146967437b3 · outbound
This paper cites Your answer will be evaluated using the BRIER SCORING RULE which is basically (- (1 - p)^2) if your answer is correct and (- 1 - p^2) if your answer is incorrect.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Your answer will be evaluated using the BRIER SCORING RULE which is basically (- (1 - p)^2) if your answer is correct and (- 1 - p^2) if your answer is incorrect
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.052413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 982e7cc8-b74b-4788-9658-813018049119 · outbound
This paper cites Then the value of log2(x4y3z2) is m n wheremandnare relatively prime positive integers.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Then the value of log2(x4y3z2) is m n wheremandnare relatively prime positive integers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.047382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 455e6733-6fc8-4205-9d5d-62081035ba37 · outbound
This paper cites Models and decode.We compare the untrained Qwen3-8B base model with ourQwen3-8B model trained according to the DCPO recipe of Ma et al.
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Models and decode.We compare the untrained Qwen3-8B base model with ourQwen3-8B model trained according to the DCPO recipe of Ma et al
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T01:26:44.049097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.