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Paper Citation Record · LEDGER

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2401.03205.

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

pith.paper-citation-record.v1
2401.03205 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:32.201925Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5412579c-fa60-4b4b-8a8f-e7a1f2ceeba3 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.212996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:6b72f884652cdced86438033e32df8d88900c97c8a0adcdd5c9389642d070c66

Observation 3681077f-6895-4155-b104-4fd21bcb5911 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.219837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:31dc0a6b2e367c475487e39b0faefe1383caf4c62adf99952bf0910725db0b37

Observation 911ec246-e3ca-4ef7-a54b-253350311b84 · inbound

The Hallucination Tax of Reinforcement Finetuning cites this paper.

The Hallucination Tax of Reinforcement Finetuning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:32.201925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:44:32.201925Z digest=sha256:cecdce413a13cb37287c241ba2af086e2c73f479149c4597add64eeb80785146

Observation b7df3a95-87d7-46a9-93f2-564b19cae85e · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:17.146987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:17.146987Z digest=sha256:ff9e219197aed6cf8b7b5efa142173cd6f4a6ee5b74e17b596937ac4000e3c8c

Observation bd7a68d5-7975-45ca-9620-cc087fb97c66 · inbound

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models cites this paper.

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:14.203931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:14.203931Z digest=sha256:2377ad4d47614df75f89d84c7cf3a601b6f1c42012872dc8978793f758e7b889

Observation 854b0e02-50a3-427d-b778-9b08f4113e17 · inbound

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them cites this paper.

MIRAGE-Bench: LLM Agent is Hallucinating and Where to Find Them The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T13:06:37.580196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:06:37.580196Z digest=sha256:73e5f385e88b8cdfbc1274d9712fac2b33d84b6df74ccea019544c28f3add3e0

Observation 18e73542-41d2-4802-aad6-c00ff42af1d7 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T05:29:14.164189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:14.164189Z digest=sha256:5c77acc59f627358af6a2bbf67d0b856241cdfbb9b825eee476a3385fcbc27d3

Observation afdc2096-c1d0-4626-9127-06be6a756aa1 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:46.174827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:46.174827Z digest=sha256:085776322f4e068ace00da65feabfc76a1dc4902167e14e204d18fa8f647619a

Observation 23af70ab-a521-4ec7-8836-1d52458a9731 · inbound

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification cites this paper.

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T05:07:43.228300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:07:43.228300Z digest=sha256:ef0db63ba86ea29510ae1ce27e761f0d6814226c5e26f1e04782e58e17a71a09

Observation 16f5bd45-5b20-40ba-a7ec-b12d7027c2d5 · inbound

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations cites this paper.

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:56:24.462017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T12:54:01.717015Z digest=sha256:55925751ad8d82005430e6c2fd2a6ec9c35b888660ede70441f27c94a7dc841e

Observation 3ae8f2ae-9dca-454e-b315-53b13e95dda9 · inbound

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution cites this paper.

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:35:26.748787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:25:30.427925Z digest=sha256:f1ed8f4afd3946f841673c0f39580c55b3df77339beccf28b147d32daff085b6

Observation 153960c2-6d96-4846-a55a-305bf9ce2c0d · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:21:10.424632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:38:30.092429Z digest=sha256:67dc0dcba4bb53c2cbb0a4768641c1b6fc1e092568f1435c8bba8f95fe98ae32

Observation 64b1e04a-f972-498d-9ba0-acc78994f65a · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:56.479858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:5ef39fbaba948b49a35a4acaf356f59fb641c2eb28a923e57dd7942ded5cc784

Observation 672bc7a9-9046-4b56-8729-0ff2fd426598 · inbound

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels cites this paper.

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T17:57:42.499733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T17:55:35.764347Z digest=sha256:72f1e3c8c8d600fac700151146ac8ba5d757f4777b8fb0fa99e79aa63b0186f9

Observation 67ee9fad-be5b-4d06-85c3-0d804757ee0d · inbound

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps cites this paper.

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:33:16.785767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:32:22.536994Z digest=sha256:af0e6e5ae66e9ac48ddd05d1d9c856c0c4317e391ddf28da54f28cc076ddc8ef

Observation ee3ab6cb-bd72-48f4-a0fc-b6bae2d7b138 · inbound

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models cites this paper.

Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:37:26.444268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T18:43:58.988270Z digest=sha256:34d6862de9d885cb9a0808819328e2168638017670aea2c977605e49bded7d56

Observation 9a288006-6e93-4f3f-8317-cde45ab16e1b · inbound

Decision Protocols in Multi-Agent Large Language Model Conversations cites this paper.

Decision Protocols in Multi-Agent Large Language Model Conversations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T10:52:59.410307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:52:59.410307Z digest=sha256:0ddecb7659689554556b73568cc88e1b5e223663301ecd48e015c277d37b2288

Observation 4795d50a-1d40-42a7-9354-f932aeafba59 · inbound

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards cites this paper.

The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T23:11:41.753048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:11:41.753048Z digest=sha256:bf425006e125534d2f60f3cc25ba9a391a04d03b850ce458af9266af33400e05