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Paper Citation Record · LEDGER

Fine-grained Hallucination Detection and Editing for Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2401.06855.

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

pith.paper-citation-record.v1
2401.06855 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:30.197338Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:50.479239Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8d6d00b6-2d17-4355-b5f0-9d53ee3f14c1 · inbound

Multiple References with Meaningful Variations Improve Literary Machine Translation cites this paper.

Multiple References with Meaningful Variations Improve Literary Machine Translation Fine-grained Hallucination Detection and Editing for Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T04:38:23.897601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:38:23.897601Z digest=sha256:36172bfb371613b3f82451e3071c018318744b4032e2ab821ef809c1a30ce762

Observation 0c7dedcb-28b1-4f84-ac7f-7805d05b1a8f · inbound

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization cites this paper.

Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization Fine-grained Hallucination Detection and Editing for Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:51:52.571443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:51:52.571443Z digest=sha256:5953463eb5ab4357616f89c5ea459e83e8fddf150d100f3d12d27076a159fcd3

Observation 1c5ed790-ed8f-4455-9921-e4b8515ab0cc · inbound

Linear Correlation in LM's Compositional Generalization and Hallucination cites this paper.

Linear Correlation in LM's Compositional Generalization and Hallucination Fine-grained Hallucination Detection and Editing for Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T22:31:18.431344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:31:18.431344Z digest=sha256:75d5b254e6c44023b389f3a34664b8b50e58ab91dac8404f5b758b80a57fcd3d

Observation 7b8b0082-5d8e-4b28-9950-25deea1eb562 · inbound

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment cites this paper.

SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment Fine-grained Hallucination Detection and Editing for Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T22:01:05.829760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:01:05.829760Z digest=sha256:f3c3edade2a56b7f480421c20897ce185c7644c6de55917795fd58e20fd8bd4c

Observation 03d1bbf7-b2f6-424e-8155-36b4ef16bc4e · inbound

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models cites this paper.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 24

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unresolved
no resolver link, observed 2026-08-07T13:53:11.123548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:53:11.123548Z digest=sha256:4c5d4aa01e9269d8889fa1b715c6233cdf5350286d22454f9dade9184db077fb

Observation aa6f0717-f764-402f-8347-73691611d01f · inbound

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention cites this paper.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Fine-grained Hallucination Detection and Editing for Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:37.209376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:37.209376Z digest=sha256:9a6480c4d3b6e0365b9334182afd8c0513ca1728d10fc200d111dc7bc3fea54b

Observation e0fc8718-ca68-43e5-a3bf-daf184568697 · inbound

LAQuer: Localized Attribution Queries in Content-grounded Generation cites this paper.

LAQuer: Localized Attribution Queries in Content-grounded Generation Fine-grained Hallucination Detection and Editing for Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-07T11:55:14.122962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:55:14.122962Z digest=sha256:373f183925a8bf6dc891bbec496c4b9f8d2fe3968c4fc8a2c38e53f067977d9d

Observation 09d22cc1-cee5-4f13-aeac-814b6d11f39d · inbound

Ask a Local: Detecting Hallucinations With Specialized Model Divergence cites this paper.

Ask a Local: Detecting Hallucinations With Specialized Model Divergence Fine-grained Hallucination Detection and Editing for Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:08:37.790971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:08:37.790971Z digest=sha256:7501946fdab4157d4f12cee52022db3238d3f2b84a3a458ccb0c00d8ac8984c7

Observation b6bb0d91-3f18-49f6-ae84-35f6e2313de8 · inbound

Beyond Facts: Evaluating Intent Hallucination in Large Language Models cites this paper.

Beyond Facts: Evaluating Intent Hallucination in Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:44.316066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:59:44.316066Z digest=sha256:5abe23eabb661c43455f882e8303285a0aeb3495dcf7c00c82d33d5c871c0501

Observation becec4b5-fef8-4c0d-a502-ea89f8782ec4 · inbound

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs cites this paper.

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs Fine-grained Hallucination Detection and Editing for Language Models

Reference 35

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unresolved
no resolver link, observed 2026-08-15T19:03:30.197338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:03:30.197338Z digest=sha256:6718656c206607b753ed233bc6e837b8a09ea62d29e335d144de26226ae56412

Observation 8575216a-7e64-4504-9bca-492bfcc38a6e · inbound

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models cites this paper.

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:37.585535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:10:37.585535Z digest=sha256:5f73958c05f8e69960ef14a466ec1df75ae49cd49a5bf66714233a3b4edb9654

Observation e2218f71-b3ce-40c5-9d4c-cae23c01a68b · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:28.926066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:28.926066Z digest=sha256:7583dbb16ab1a226037dd43565a7343d7aaad6eb465fa973a912ad502e316159

Observation 03bda65f-7947-4ea1-bb2a-0353c1798f26 · 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 Fine-grained Hallucination Detection and Editing for Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:56:24.470415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T12:54:01.717015Z digest=sha256:cfd7b03bd9263dce5e4e9fd59f7e570b4ab783189abfa92cc8bcc610353422fa

Observation 8e2a9766-28b5-44d1-bfa0-d21ad2943d58 · inbound

Steering the Verifiability of Multimodal AI Hallucinations cites this paper.

Steering the Verifiability of Multimodal AI Hallucinations Fine-grained Hallucination Detection and Editing for Language Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:50.390936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T18:19:45.405698Z digest=sha256:f464f802d116ce2b37803bbda067f723d9a61ba83e95a75907bde48cdb8fc33a

Observation 1520cc64-804c-4c0e-abb2-0aa0037f206e · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Fine-grained Hallucination Detection and Editing for Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:45.556606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T18:28:22.798874Z digest=sha256:30f6fdb447878a7392d65cafc6f705b6c94534b917eb36622bca7c52ff1fca39

Observation b47b3c74-7d53-4515-8614-3c3e1182d263 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Fine-grained Hallucination Detection and Editing for Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:50:27.900310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T06:49:16.755597Z digest=sha256:81cb3e5bd85ceb7cf60848a8e8b72d91842429fc87a0ff39e62a31580b37fc9a

Observation 75c51e11-ffdf-45a7-b574-5bd3d002b0f1 · inbound

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing cites this paper.

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing Fine-grained Hallucination Detection and Editing for Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:34:38.663003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T12:29:59.165791Z digest=sha256:bc69d83db5c8257f13515f7217c0831d119ac381de757ca1681928f74fc819e8

Observation f13fe1f9-bad1-4336-bf3c-28da288d3a97 · inbound

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models cites this paper.

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.649684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T12:10:43.626846Z digest=sha256:23b4440acea56fa8649063f17dd5c33fa14b642c5ec5a1ab470b265e7c60d32d

Observation 696adaac-ecfd-4b36-afc4-87bb8debcba6 · inbound

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance cites this paper.

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance Fine-grained Hallucination Detection and Editing for Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.143388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-29T08:54:48.807164Z digest=sha256:6f37da9980f5d4ef742630ee33f6ebdd90df76165496e08932bc4108c27dff7f

Observation 3fa5b87b-ec84-4d12-bdff-42280a2cdf5d · inbound

Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models cites this paper.

Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:03:14.554026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:56:23.745294Z digest=sha256:23e886fa8a14a6be6c02363172a91fb0a4efea2d74be575f407a6b61e52b8b4a

Observation cea02ead-1899-42d6-887e-45c513318974 · inbound

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs cites this paper.

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs Fine-grained Hallucination Detection and Editing for Language Models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:27:25.376909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T18:58:55.712400Z digest=sha256:2725e1346b5fe4045b4ad8c32b4cf49c7354c1343e8607a3eac10f43422efa6d

Observation d942da37-e3bc-4065-a686-46360b402b9f · inbound

MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark cites this paper.

MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark Fine-grained Hallucination Detection and Editing for Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:39:38.095299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T14:15:50.588981Z digest=sha256:c508d38fd18d91adbb43e172d269ee159b6ba4525d403c770e4419a87a33fe64

Observation f7f1abcd-1da2-4998-a124-7be97eefa8b0 · inbound

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation cites this paper.

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation Fine-grained Hallucination Detection and Editing for Language Models

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T03:07:50.506654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T03:05:42.262171Z digest=sha256:e20049235f73974b45a27c76656875dbcc66b36d32682697ec40c4b9d9364017

Observation fbed606d-0c35-4571-98fd-1eacac1be6c2 · inbound

Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift cites this paper.

Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift Fine-grained Hallucination Detection and Editing for Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T17:47:41.610917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:47:41.610917Z digest=sha256:ac72af41148a9b5f4ae0f94f4951d3bcc88aafdcbe53fb0908b7ca54ddef13ae

Observation 6f5b605e-3517-4731-aa19-6f35ed1683ec · inbound

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models cites this paper.

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models Fine-grained Hallucination Detection and Editing for Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T08:33:08.921459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:33:08.921459Z digest=sha256:a9fa74d4fc19d35de34e08cce07f3994824d4e2aa6025767b89fccdd374ea152

Observation dbdf5f73-7f90-4fab-a2ce-41e21a710e90 · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Fine-grained Hallucination Detection and Editing for Language Models

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-02T13:37:02.054169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:02.054169Z digest=sha256:479a2d5c3f23bae28a2509888fdd13906e38a0763006c37f254b026338050118

Observation a9554fd0-90bb-4a76-87f3-2cbe38d70b3e · inbound

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses cites this paper.

When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses Fine-grained Hallucination Detection and Editing for Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T15:11:00.268747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:11:00.268747Z digest=sha256:0d800969d58b45fa864df189d7a16244778c806e4b38488f6a56efd85e6ca477