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Paper Citation Record · LEDGER

Evaluation and Analysis of Hallucination in Large Vision-Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2308.15126.

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

pith.paper-citation-record.v1
2308.15126 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 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 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:58.956772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:52.187912Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

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Pith citing papers

Observation b9f46784-2e93-42ad-ad06-1dfbe8052746 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 163

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arxiv_id, observed 2026-05-16T02:56:42.038365Z

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=2026-05-16T02:56:41.658658Z digest=sha256:7add7353f5344c9cf2b96bc89e1cf58794e4ee30ae9c881c2275360251ac40f7

Observation 6f543af6-1061-4b42-8a8b-ea10fae08fdd · inbound

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 18

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arxiv_id, observed 2026-05-17T22:46:52.906865Z

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=2026-05-17T22:46:52.791128Z digest=sha256:a5d14674a03b79263835182fe8f91b57d8e1c36e66d0252d7432e474b1bcb567

Observation 155be8a5-35f2-4eab-9ff8-729554a2466f · 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 Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 77

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arxiv_id, observed 2026-05-15T05:37:41.672496Z

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=2026-05-15T05:37:41.401736Z digest=sha256:c7a64cd493adf5c1fe3bdd52dc5c30827922df9ceac4faf8b11d57d5e56741d9

Observation f197fb47-1ea8-4ad2-87cc-07ee99962c7c · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 45

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arxiv_id, observed 2026-05-13T22:10:10.242638Z

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=2026-05-13T22:10:10.186950Z digest=sha256:5fb213e42fe4ee00348b5705bae38443b8dd79421a0b4a50a3e4caa7310c9fc8

Observation bc137dae-8dcd-48e1-b4f4-f1faf5023a51 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 165

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arxiv_id, observed 2026-05-11T12:33:33.124247Z

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=2026-05-11T12:33:32.631346Z digest=sha256:499d20faed920419a64896c74a397aa23e0aad1a260726b51510375ccbf76aeb

Observation bd0146d5-0c84-4019-806a-afcf4faabb18 · inbound

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models cites this paper.

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 21

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arxiv_id, observed 2026-05-23T23:58:39.580064Z

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=2026-05-23T23:55:57.103971Z digest=sha256:d8339eb90e04f6b9d09b46c844520488e60b170c683667f429dfdc8e9a81a216

Observation f6fd61d3-6d5c-454d-b0de-c19ca43ac349 · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 269

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no resolver link, observed 2026-08-12T20:36:02.630051Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T20:36:02.630051Z digest=sha256:e9cf914058de94adcca1c510ecdf07115363239d7132afa331dc837ffa3c0a71

Observation d6b35f18-b259-45ff-87c7-e60e6c25fdb7 · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 102

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no resolver link, observed 2026-08-12T14:31:37.115876Z

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source=pdf_text observed=2026-08-12T14:31:37.115876Z digest=sha256:dfe937239900ffae2c2f9ecc3f00f1dd3382d0a108f48ccc715d5fde25abe000

Observation b18d5d80-074c-49a9-afaf-7e58788b2bad · inbound

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

A Survey on LLM-as-a-Judge Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 158

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arxiv_id, observed 2026-05-23T17:35:44.200451Z

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=2026-05-23T17:33:13.394338Z digest=sha256:1896001b996ab497adba9e2aff38f327293dc8978cd8817689ea642fabe6654b

Observation fc128cf2-f180-4b52-9e0a-faa2596ae868 · inbound

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models cites this paper.

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 41

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source=pdf_text observed=2026-08-12T11:31:36.941443Z digest=sha256:998e3762676e64dad712202cb915eb6b38355695956b19a2df250e3182e580f2

Observation d746a5ed-51fb-4bb9-a5c3-bb0d9372ef2a · inbound

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension cites this paper.

Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 52

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no resolver link, observed 2026-08-11T22:18:01.623635Z

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source=pdf_text observed=2026-08-11T22:18:01.623635Z digest=sha256:1ff6246436e71bee17f1085bb65ddc7aba8520dc596d509da364cd1c20bed016

Observation b799e0cf-2820-45d6-991e-a2dfde406b13 · inbound

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval cites this paper.

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 50

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no resolver link, observed 2026-08-11T15:20:47.254339Z

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source=arxiv_source observed=2026-08-11T15:20:47.254339Z digest=sha256:f1dd5b7ab89174cfd5d8b93be706906de6ddd4bca740e96ee6976f1cddf29752

Observation 704f8d82-eebc-4084-abb6-23c69407fa06 · inbound

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives cites this paper.

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 66

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no resolver link, observed 2026-08-10T21:44:55.961578Z

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source=pdf_text observed=2026-08-10T21:44:55.961578Z digest=sha256:23ae2a8fabeb995ad9c0bc121e5b345629e3bdca0e53181a7c846e07ad0a2e67

Observation ab11f03f-8fbd-4b08-8e8f-8e4efacccaa4 · inbound

VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification cites this paper.

VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 40

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no resolver link, observed 2026-08-10T21:03:12.376795Z

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source=pdf_text observed=2026-08-10T21:03:12.376795Z digest=sha256:f1976e8e5cf5b9750e7e4b2a3b9bed6b085d02e25b1ce1250e866f157be0078b

Observation b7b701dd-9b22-4faa-a669-2733cd166fbc · inbound

PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model cites this paper.

PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 37

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no resolver link, observed 2026-08-10T17:28:42.223116Z

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source=pdf_text observed=2026-08-10T17:28:42.223116Z digest=sha256:009f20b915c765fcbe64cf833a464c309b99a2d3887471cd359074f122bca774

Observation cf0a2694-5c59-4069-b17c-8b8adb6bb607 · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 39

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no resolver link, observed 2026-08-16T12:32:58.956772Z

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source=pdf_text observed=2026-08-16T12:32:58.956772Z digest=sha256:5385ae0cb501013333d5738719165f0e4edc68cd018b02c674e365b1e3c54c48

Observation 1243257a-a519-46b3-ae4d-09e4b866d59b · inbound

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding cites this paper.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 71

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no resolver link, observed 2026-08-07T15:03:27.327901Z

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source=pdf_text observed=2026-08-07T15:03:27.327901Z digest=sha256:e979453b2163713c306faec53db4857dc0a9bc6188658785e634b5c843ea5328

Observation 8e9d0d8f-51dc-419f-a014-a59245f18cdf · inbound

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models cites this paper.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 63

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no resolver link, observed 2026-08-07T05:36:15.702798Z

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source=pdf_text observed=2026-08-07T05:36:15.702798Z digest=sha256:b91d42ae285d5d966061f412992086a7d8eaa408a55e960586079f4221d33c44

Observation fae2b7ab-3970-4252-ba0c-dfa607838ff3 · inbound

Low-Cost Test-Time Adaptation for Robust Video Editing cites this paper.

Low-Cost Test-Time Adaptation for Robust Video Editing Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 30

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no resolver link, observed 2026-08-06T12:21:30.677316Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:21:30.677316Z digest=sha256:4e78875858bd42f595d4193bb09e8c2e6c101371d2b4edc96e8cd3f461106203

Observation 81dd63a9-3c10-496d-8a39-9ecb23b1185a · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 72

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no resolver link, observed 2026-08-05T20:28:49.541282Z

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source=arxiv_source observed=2026-08-05T20:28:49.541282Z digest=sha256:090812d946d1f94da427c1ea591c62955567e5f14fac2db335f32dd63b038735

Observation 2a05032c-af8e-4b31-96bf-d3f0ab3aa6bc · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 3

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no resolver link, observed 2026-08-05T12:52:59.290943Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:52:59.290943Z digest=sha256:ef17834c55ac88a2d15750324de3686f04f2168eb1ce3a567006176aa1dfb791

Observation 9e8f990d-a3b3-4c9f-8f4c-37e0cce789c3 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 3

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no resolver link, observed 2026-08-05T12:53:14.428730Z

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source=pdf_text observed=2026-08-05T12:53:14.428730Z digest=sha256:6c9250c0980338f49ebd8c8cfafb31bb3d4fdf7e103981476bbefe996f75dc9e

Observation 0de1de0c-c9e9-4c4d-b7c7-83450a2f90d4 · inbound

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs cites this paper.

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 113

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arxiv_id, observed 2026-05-16T06:00:40.608247Z

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=2026-05-16T06:00:02.043029Z digest=sha256:c08588514821eb5682110c2286d6f7d56698652f9463e224430af1f5c95238de

Observation ef860c5a-51c4-45eb-9ec1-5297c6244289 · inbound

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions cites this paper.

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 46

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arxiv_id, observed 2026-05-11T00:10:52.861945Z

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=2026-05-10T18:39:29.592129Z digest=sha256:027b547dc007ef46f182998d83913d4db32d32f16568d470e27c4d8e6624f18e

Observation 52b1dd56-0724-4ce3-8d26-0d62e9cfb799 · 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 Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 31

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arxiv_id, observed 2026-05-10T09:38:43.082738Z

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=2026-05-10T05:11:01.039309Z digest=sha256:bfa2b0c8515daf201bdc64da94dc6075b44da2682adef69f28deca69ca399e95

Observation f26caec9-14e3-4daf-bb66-712a49878f9e · inbound

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement cites this paper.

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 10

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arxiv_id, observed 2026-05-13T05:47:21.417311Z

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=2026-05-13T05:44:05.093926Z digest=sha256:2591cb08505991f7e64c2ea532a68a916818eb363f14de0e90421b4ec6a75ffb

Observation e53342b6-e6b5-44e1-9b1f-e0c5fd0d88ec · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 11

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arxiv_id, observed 2026-06-30T13:14:41.010599Z

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=2026-06-30T13:06:29.565195Z digest=sha256:4dcabbf96f5e043c2bc7220fda664118a98580c3047788c3562553e04ffda2ab

Observation 802daf13-a384-49b4-9806-25c9e25fdd4c · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 11

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source=pdf_text observed=2026-07-12T16:06:30.682427Z digest=sha256:e8810262cc48c34318c93a1af0a24ad5bc2dcbbb411e107fdb8d5f02718bc743

Observation 3208d153-888b-4069-9e6a-b50877bb7754 · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 11

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source=pdf_text observed=2026-07-15T11:04:59.754115Z digest=sha256:5a8377185e4d24def62dc60ddeac82ec96d17242c4c63618b748ab3161666a28

Observation 539e537e-8bb3-4549-a7ca-c2a984d5fca4 · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 11

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no resolver link, observed 2026-08-02T13:18:57.286107Z

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source=pdf_text observed=2026-08-02T13:18:57.286107Z digest=sha256:0a8d628907d11ea515c08dc01d9da2d9137a8be4fca29a1c168cce8e2d431aa2

Observation 2bac3dcd-764d-483c-aaf4-c1f7c6c32033 · inbound

GAVEL: Grounded Caption Error Verification and Localization cites this paper.

GAVEL: Grounded Caption Error Verification and Localization Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 85

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arxiv_id, observed 2026-07-04T13:59:52.189599Z

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=2026-06-26T04:44:48.346335Z digest=sha256:65449065841390039ceb06c55dac683df769fce7923ec8bb610834c077183f79

Observation 49a843ca-7103-4290-93e1-9056e62f5168 · 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 Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 49

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source=pdf_text observed=2026-08-02T01:58:02.401960Z digest=sha256:8ce92a01cbd31a1e9293cd54ee68d1a0ba4affe4df221660de6ac54fc5cfb877

Observation 9c8b7b56-f1cc-4748-b8ef-a656c2403ca5 · inbound

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

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 41

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source=pdf_text observed=2026-08-01T08:33:10.250533Z digest=sha256:4996f3afd15d6527a9c49f936350d4d44e54e24fdb0ccb0888718935b8259a97

Observation 194e7558-c3c2-4714-b6d1-a853a70b647c · inbound

TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs cites this paper.

TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 46

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no resolver link, observed 2026-08-08T05:29:59.355154Z

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source=pdf_text observed=2026-08-08T05:29:59.355154Z digest=sha256:397d0ac5b45c62bb498805df46413ae584bb19f4d0977466b5346af22ca4b452