Paper Citation Record · LEDGER

Aligning Large Language Models for Faithful Integrity Against Opposing Argument

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.01336.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.01336 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:35:43.990637Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T04:59:45.724855Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T10:29:25.181680Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy4
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91a8b2a6-80a8-4544-9eea-6b348d776990 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument The Internal State of an LLM Knows When It's Lying

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.832103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5314165-2166-4a2e-8b7a-598961b242ea · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.837445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d1f2bd-0fbf-40f6-a8a3-8a4240a5301c · outbound

This paper cites Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.841810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176a7dec-d4fc-4c05-ab27-1517b08a5deb · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.444923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b01f957-8f0e-4e44-9231-175522c4efa4 · outbound

This paper cites In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.850316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bbc7490-c9e7-4c25-b6f6-4f1edd5f40f4 · outbound

This paper cites E.; Stoica, I.; and Xing, E.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument E.; Stoica, I.; and Xing, E

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.854429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03790916-6628-4bc5-9d31-3d3c5b9cc316 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Scaling Instruction-Finetuned Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.858736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc67af9a-9f03-488f-9208-ac80a66159df · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.862959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f141340-f6e8-4343-b0c8-9f87e573c291 · outbound

This paper cites I don't know.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument I don't know

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:35:44.426508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4c02857-e6ae-41ea-b514-d91fdd220ce5 · outbound

This paper cites Truthful AI: Developing and governing AI that does not lie.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Truthful AI: Developing and governing AI that does not lie

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.870593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc3316a-2fdc-48b3-8099-be9a1dd6ca22 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.414891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ae228e9-9f6a-4f20-a86c-00cf6b079273 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.403161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e88ad706-6623-4818-a329-00eab7dac264 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Measuring Massive Multitask Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.882222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e205330-ee55-4dbd-9c4c-153ad3c7672d · outbound

This paper cites J.; Shen, Y.; Wallis, P.; Allen - Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument J.; Shen, Y.; Wallis, P.; Allen - Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.886128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88694f21-73e0-4901-8379-31f0b092e7d3 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Language Models (Mostly) Know What They Know

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.894859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4026c363-2a47-47b6-a53d-203991980fb4 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.384902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 038376fa-9d20-42bb-b0ae-15e47cd2afac · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.372773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42c26fc9-00bb-4a81-9d00-79ab0d0cebcb · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.361348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e9d4ebc1-84b6-48b1-9a0a-75605f433075 · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.911703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b64298-0869-42a9-b6b7-f8e923ccf5c7 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.349924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea1f7a8b-b37d-42e5-bf27-6292e1a0577c · outbound

This paper cites The Llama 3 Herd of Models.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.919308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f00b4b3-7b1f-4c0e-b442-71ec4a82bb25 · outbound

This paper cites J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:35:44.337916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76140d93-4bb0-48cf-b00d-9373d4f0fbb5 · outbound

This paper cites J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:35:44.325735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc470d14-7cfc-4398-ba57-fd8deee2134f · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.311903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7316a3a2-fb92-43e3-9bc4-8abdd1828f80 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.299753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88b4f048-4e97-4b13-b09a-0352066c6f09 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.939107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb80008-0378-40c8-bbbb-7c0db87695b0 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.286696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7196e2a1-ed2f-4ba5-a328-6d361b0976e0 · outbound

This paper cites Fine-tuning Language Models for Factuality.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Fine-tuning Language Models for Factuality

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.946844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeeb3b85-3d9b-4a46-a1a6-d032d70bc1b6 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:35:44.275112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e82d4b7e-059b-4de9-998e-a8a804365969 · outbound

This paper cites Emergent Abilities of Large Language Models.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Emergent Abilities of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.955277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 547b175b-7004-4a27-a6a2-9b5ab7260839 · outbound

This paper cites Know Your Limits: A Survey of Abstention in Large Language Models.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Know Your Limits: A Survey of Abstention in Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.958668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34bf6d9f-3787-47af-9f5a-41dbe1bfa8c3 · outbound

This paper cites The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.962521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9251df7-8615-412a-b98c-bfb29e4f8c4d · outbound

This paper cites Alignment for Honesty.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Alignment for Honesty

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.966546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd657a7e-3013-49d7-a417-c5466989cb65 · outbound

This paper cites R.; and Cao, Y.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument R.; and Cao, Y

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:35:44.263652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b43a599-8375-4fad-bed7-6901bff0f610 · outbound

This paper cites Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.974468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b22627-fb9d-4c62-b229-767c32551ffc · outbound

This paper cites Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.978810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80097e9c-0647-4a6e-a112-c43d8fb7b8b5 · outbound

This paper cites TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.982737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d04a755-b052-493a-af0e-f7c7d08cd046 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument , " * write output.state after.block = add.period write newline

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.986388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0026a7-2303-48ae-825b-eb08c1c671b2 · outbound

This paper cites write newline.

Aligning Large Language Models for Faithful Integrity Against Opposing Argument write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:43.990637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 33c8c479-00b1-473d-8b80-f0cd496a3bcc · inbound

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models cites this paper.

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models Aligning Large Language Models for Faithful Integrity Against Opposing Argument

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:25.183157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.