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Paper Citation Record · LEDGER

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2311.03287.

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

pith.paper-citation-record.v1
2311.03287 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:04:23.607532Z

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

13
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 ff24e5da-4506-4355-b64f-002e8832d4f9 · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:22:04.234212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:6d9cdba5457b3cd7b3f8d4ac442068570892ce06c10123cacfb8d07020fc98b9

Observation ebfe2f07-3c75-4b6a-a751-44e18dc5068f · inbound

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation cites this paper.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:44:30.262451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:44:30.244832Z digest=sha256:79b59aeaabdc17cd5522dcb4002c247012173fac024c4a259629ad554452c346

Observation ddbb870b-eb65-473c-8a3e-37105368e416 · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:37:41.534907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T05:37:41.401736Z digest=sha256:bf2e1b7159cc9184b5dfa05b6ab055f841cc3889fa516060c593e16e9dff5ab9

Observation bf728daf-04cd-40d3-beef-b4ec9094b761 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-05-17T10:58:53.546482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T10:58:53.215887Z digest=sha256:aee7cf40ded9f6f45995e17b280a822e24c57f9dfe33be01d213b9e1800a3804

Observation 843c5b41-4c00-434c-858d-3927250e8056 · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.674593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:e35b8967fce6c48a505248f247ff712c81f0f966afb121cd371586ebf59c312c

Observation 29a9a4b3-5599-41c9-bfb1-12a5d0886c58 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:51:48.311350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T00:51:48.163349Z digest=sha256:818ea62a3d7cbe5ea54edef4ab9f266a5c2da4d4b574a7cbec4a4cff3f36a660

Observation 20206ef5-eceb-41e4-8c30-7ee4abbeb3cc · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:44.131194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:e27ec32d83e0498f61c8a48aca7061ad5d8fe36eb68799dac43c2614c05c76da

Observation 7dc3ed3a-6c1c-4447-86d3-7920bfa1d718 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:27:04.393958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T15:27:04.228144Z digest=sha256:4072c9814b75297e67b61e47406487ae176dc9b1a28e65032b2080841a6cea0d

Observation 4811ed1c-9612-4de6-88c1-94a4cd2b6bcb · inbound

When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models cites this paper.

When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:52:01.236209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T03:51:17.765919Z digest=sha256:09804e10b49180b90a351dd41dd1ccc84d508b9360fa46b7bda5a72f97f8cc7c

Observation 120d8ccb-a6e9-43a6-b27c-786c1fa9b044 · inbound

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models cites this paper.

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:30:23.277475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T22:29:36.960961Z digest=sha256:d1e803ea92f2ebe4c404a08e002cebf3c74313d9ae35052659ed8ff7511933e4

Observation 2dfa594c-ef48-4197-9504-20329bf13ed2 · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:25:59.412028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:03:15.222571Z digest=sha256:cd917c137a05b47a6f23f81511a5031f5f9e6837fd826ede37a1665e5f1a3f56

Observation b248a9a3-f17b-4c3b-9c70-6db9d299c7fd · inbound

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cites this paper.

Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 102

Resolution
unresolved
no resolver link, observed 2026-07-12T22:48:45.647588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:48:45.647588Z digest=sha256:4a71473631824d25e5a91951e0c29a808beee99c494b75e6832d1040387e6593

Observation 0405a3e4-74e4-4cfa-b6c6-b97bea4e2d2a · inbound

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models cites this paper.

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:15:50.359030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T05:11:01.039309Z digest=sha256:f8c2835332c809d587774949fd4694e2ce6bf51ab3f23dea93c88904c26fa319

Observation b5ce5dba-2a4f-401e-87a3-5a4eadf186b5 · inbound

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs cites this paper.

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:04.175666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:28:14.039910Z digest=sha256:eb79f3897c495257e59ec9d0a8b929a30fb30faa6cfc945898e77a7c0685494b

Observation 9dcab205-f994-42eb-a4b2-b498b22e5e20 · inbound

Evading Visual Aphasia: Contrastive Adaptive Semantic Token Pruning for Vision-Language Models cites this paper.

Evading Visual Aphasia: Contrastive Adaptive Semantic Token Pruning for Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:36:38.017520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T02:29:22.152053Z digest=sha256:1b0d4ae5bd09ed0266bd1c20b5c109f6616682a55f70587bae1693bbad16e692

Observation f4e4e104-bf46-425c-9fcf-ff165daf8d9d · inbound

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness cites this paper.

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:46.609083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T23:21:50.254449Z digest=sha256:5ddaf94dc1ffde75bf1b25cc9f7b094057dce00871ad9ffcf5bdeabe3dd6b440

Observation 539d801c-ca8a-4bfd-981a-e08222407ceb · inbound

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding cites this paper.

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.056090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-03T15:40:42.166900Z digest=sha256:9823f9d1788fda3ff754c097698328bd0ddc1f386faa9a71904fc1ff7392a378

Observation 696a0866-9583-409f-af6d-37039c033630 · inbound

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding cites this paper.

MolSight: A Graph-Aware Vision-Language Model for Unified Chemical Image Understanding Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T02:04:23.607532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:04:23.607532Z digest=sha256:0f6473547a827da791556632d8d3680e730a6ad3ebd4d59be2c4a4fbb876a023

Observation f86b393c-331b-4a4f-a613-2f01ee4ecc87 · inbound

Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions cites this paper.

Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-02T01:58:02.568272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:58:02.568272Z digest=sha256:1fc9bf4b2484e399e94c1c11a18dd0d34c6eb610ff4c53e63bd4d522f08df33b

Observation ae8db77a-1ced-4a00-901d-ca31dd04de34 · inbound

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment cites this paper.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-01T07:12:16.200386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:12:16.200386Z digest=sha256:a7c157dac5a5d40bda4f0969f6d5f76b08576c07c787b0f361e8be1ca38bd3e8