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Paper Citation Record · LEDGER

VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2406.16338.

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

pith.paper-citation-record.v1
2406.16338 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:43.488922Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:56.151478Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc58d774-512f-442a-9d8a-5660b3f4131f · inbound

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models cites this paper.

ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 29

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no resolver link, observed 2026-08-12T19:17:10.657132Z

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source=arxiv_source observed=2026-08-12T19:17:10.657132Z digest=sha256:5aab3ad9017071f4b6f04d8f736a863dab320e9b1d8c7be3d03216626fac1796

Observation 97f740c3-73c6-4c9e-8958-67f8bdfdf36e · inbound

DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding cites this paper.

DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 66

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no resolver link, observed 2026-08-12T17:43:03.336459Z

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source=pdf_text observed=2026-08-12T17:43:03.336459Z digest=sha256:f5954fd8d57c525f80905c28f866cba522e5a3069f16a328da6da44c66f53ddb

Observation 51a1ec34-f0af-405b-aa5c-e2b8a3437d8c · inbound

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

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 112

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no resolver link, observed 2026-08-12T14:31:37.158345Z

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source=pdf_text observed=2026-08-12T14:31:37.158345Z digest=sha256:65e7d3c0f14faba055dd4810610b0c2d76183ef74964d4ec96348080f65d79cd

Observation 953d1368-6587-47f8-a72a-d3308781a7c1 · inbound

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 53

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verified exact
arxiv_id, observed 2026-05-23T16:58:12.093330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T16:57:12.821916Z digest=sha256:7c9ba356465bd13ad8d7d8bd4f28398a95d2e0147a2a7d134e409165e884ba92

Observation 75c7218e-24a6-4d97-8b3a-f58662f57907 · inbound

Progress-Aware Video Frame Captioning cites this paper.

Progress-Aware Video Frame Captioning VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 65

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no resolver link, observed 2026-08-11T23:55:58.565438Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:55:58.565438Z digest=sha256:6b467446f37f58ef234688e1f0a89ccc4eb323a3050b92b83d986b44c9381218

Observation 005ee657-3d9b-47f8-b8a6-cbf05b5c752c · inbound

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding cites this paper.

VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 58

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source=pdf_text observed=2026-08-11T22:14:11.254823Z digest=sha256:838e64b0cc457941fcdcfd1bffb75d40f96f08bcf274a455b74fb0fb13ba59ec

Observation ac853aea-44ef-4262-8e15-0707ff2148e7 · inbound

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models cites this paper.

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 2019

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no resolver link, observed 2026-08-16T12:19:43.488922Z

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source=pdf_text observed=2026-08-16T12:19:43.488922Z digest=sha256:2521d17675a99796fb6f82fa591387a85087192b17f1c497f65c0124d32fa83c

Observation 39150a31-3698-4398-b3eb-dc88c042dacf · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 88

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no resolver link, observed 2026-08-16T12:19:36.859384Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:19:36.859384Z digest=sha256:94e96744bb554a3b352a63c1dd07515bb1b2a4288cba94c045b0bfd7dca06a04

Observation d0eb0d0b-aa1a-4a6d-83de-645e6b7d1a3a · inbound

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models cites this paper.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 50

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no resolver link, observed 2026-08-15T21:59:33.705892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:33.705892Z digest=sha256:66034edc0fd0f5fbc6ebba6d868e07c22472ce4b4cf2c3c5e18a6f0b14b4cadb

Observation b63fc194-577c-43fc-b3b5-8d6e78ddd25f · inbound

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models cites this paper.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 77

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source=pdf_text observed=2026-08-15T20:58:09.662701Z digest=sha256:acdbb5e329e5dd797f66fbbeac00bcf92f3bc0540b9b708ba1cdc2eeaeb5cb5a

Observation c8d24b0c-0e60-429e-b3b8-65df37813b4a · inbound

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering cites this paper.

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 61

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source=pdf_text observed=2026-08-15T20:31:48.305000Z digest=sha256:6bdb9cb2d8eda1009739af7c2fd0f6e358fba682afb67b8e9af3e65ab4a4dfaf

Observation 07f4a18e-c5b7-4a42-880f-b2a1811df3c7 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 39

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no resolver link, observed 2026-08-07T05:43:34.855411Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:34.855411Z digest=sha256:4c441cc21b98d4e2170fdf56b3de661f515ed84ea090828dc2e51162ac7bb3b7

Observation d7d201a4-5e4f-4a6d-b11d-e3d890e46e7a · inbound

ARGUS: Hallucination and Omission Evaluation in Video-LLMs cites this paper.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 58

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no resolver link, observed 2026-08-07T05:41:39.790898Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:39.790898Z digest=sha256:b9eddf34564529a49b4dff101aa3da12d5bbdbbf2950e31e9fa405d2713bce65

Observation ec42d65f-0f14-4190-a446-33c46f45a37f · inbound

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation cites this paper.

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 35

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no resolver link, observed 2026-08-06T19:06:15.872778Z

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source=arxiv_source observed=2026-08-06T19:06:15.872778Z digest=sha256:e9a851f7b6369746c6c196137b99389201feb3aabf558c385ea007f761a3d306

Observation 027c2733-a6de-4e19-b0b2-cc995b089554 · inbound

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

A comprehensive taxonomy of hallucinations in Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 97

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no resolver link, observed 2026-08-06T05:29:20.162727Z

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source=pdf_text observed=2026-08-06T05:29:20.162727Z digest=sha256:b5973d519589f2f1b25bde7c3cc0dc4301216aceaf109eaef22cd8d0b15b0033

Observation 67395221-9853-4575-b4c2-3f03ae334068 · inbound

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

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 77

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no resolver link, observed 2026-08-05T20:28:49.973347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:28:49.973347Z digest=sha256:597e6b0056ab973146b7a71c34bd5b1d6c1df104c54997555291779f7bfd9214

Observation 14760259-ed39-4b68-b20a-974d045ae3cb · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 84

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no resolver link, observed 2026-08-04T20:32:56.952259Z

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source=pdf_text observed=2026-08-04T20:32:56.952259Z digest=sha256:7cf8632aeb48c565d8c89fb9a455f2787b9cb47fab9f389e933a334abc4fd876

Observation d80fcd96-959f-4a72-9985-1e19fcb2a6e0 · inbound

Enhancing Video Representations with Spatiotemporal-Semantic Residual to Mitigate Hallucinations in Video Large Multimodal Models cites this paper.

Enhancing Video Representations with Spatiotemporal-Semantic Residual to Mitigate Hallucinations in Video Large Multimodal Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 14

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no resolver link, observed 2026-08-03T06:36:26.055855Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:36:26.055855Z digest=sha256:38bb95d9d60d2928f77214e57fd9b548aced6ec05e94c9801e001cab5cf38a15

Observation c60caf0e-8f36-4278-a306-886a66ec9cd3 · inbound

Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models cites this paper.

Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:03.552575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T14:54:52.710686Z digest=sha256:499e5fe4790aa6df6d17314f0fcfb098532ac282bf29df6ef58e9d77a6329a34

Observation dc1ac5f3-e5f9-4bb0-be03-28ec57215932 · inbound

When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models cites this paper.

When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 62

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verified exact
arxiv_id, observed 2026-05-10T06:46:37.525334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:41:59.641410Z digest=sha256:1134d8a3668a05d9ea725b0774d667bf552784f9fc28c6cd07e99ac949e02282

Observation 233d9c0f-9cb1-4ffa-b4e5-83eee116964d · inbound

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation cites this paper.

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 63

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verified exact
arxiv_id, observed 2026-05-10T11:10:09.917066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T04:52:42.032751Z digest=sha256:1446b0993ef635b3bdeaf38a4942ea1c8648c9062797a9f0b6bf9bc03f41491d

Observation 8ba7f7f4-e5b6-4f15-8692-f2d1bc920c28 · inbound

Video-ToC: Video Tree-of-Cue Reasoning cites this paper.

Video-ToC: Video Tree-of-Cue Reasoning VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T13:36:09.697431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T01:20:29.374012Z digest=sha256:024aad810b9ba89935eddee50b73ca71357712ca5d5502d94a25feaacf4d69e9

Observation 647867db-5ae3-4a31-b34e-049a3bf89270 · inbound

Towards Temporal Compositional Reasoning in Long-Form Sports Videos cites this paper.

Towards Temporal Compositional Reasoning in Long-Form Sports Videos VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 35

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no resolver link, observed 2026-07-14T19:27:29.843866Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:27:29.843866Z digest=sha256:4764ea09fcd868a598037e7a61d22dc231123d53d8dcca5329763ed6e21a268d

Observation 534d4747-67b5-42ac-b4ed-b35df1bc28f7 · inbound

From Priors to Perception: Grounding Video-LLMs in Physical Reality cites this paper.

From Priors to Perception: Grounding Video-LLMs in Physical Reality VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 38

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verified exact
arxiv_id, observed 2026-05-11T17:21:08.287569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T17:41:23.233366Z digest=sha256:3a84e548fcd3d59ef083067220e33ca8257b830fe6936e82478814b1d3562de1

Observation e0c4e2a0-238a-45a5-9bf0-b0dd0ba8ad08 · inbound

TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.

TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 40

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verified exact
arxiv_id, observed 2026-05-12T06:31:26.781676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:13:21.487431Z digest=sha256:b6654a11abfb9754c8899efc3ae8e1a2a3ae44c9ba9ebe596f47804d06871aab

Observation d1592a4c-4973-4d8d-9ed4-49b108b48f40 · inbound

TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.

TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 40

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verified exact
arxiv_id, observed 2026-05-13T06:57:28.252738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T06:53:42.726350Z digest=sha256:fce9480af54a2602b3ebfdcd47dfa29cb35e32023f5d4b758d75b2b1838a4e10

Observation d7e427cf-6df5-443c-b8ee-d355a7adc5d1 · inbound

When Vision Speaks for Sound cites this paper.

When Vision Speaks for Sound VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 64

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verified exact
arxiv_id, observed 2026-05-20T22:13:46.830651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T22:12:52.160596Z digest=sha256:139dd6940a43e3614083bc4091998d331efd3ce4444588c91e64c1e1ac6412b6

Observation 800a68a7-01b2-4ef0-9d04-a977a9a6ee02 · inbound

OmniHalluc-L: Counterfactual Benchmarking and Modality-Perturbation Reliability Calibration for Long-Form Omni Hallucination cites this paper.

OmniHalluc-L: Counterfactual Benchmarking and Modality-Perturbation Reliability Calibration for Long-Form Omni Hallucination VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:06:41.663618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T07:31:51.780636Z digest=sha256:76e9f791b12aa629b1319700ce113a4b0018f7f36b36d43b8e1aa6b8b4d611b4

Observation 45772a24-4efd-4ff5-8619-d861dc3a8784 · inbound

MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models cites this paper.

MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 17

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metadata mismatch
arxiv_id, observed 2026-07-03T10:27:56.152859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T10:02:58.341050Z digest=sha256:b74500eb48963ff7124b58d85ac178c3230f21b33e267ac3ebe7f8282acec740

Observation 14e98e60-218d-4b8f-b609-c45d9003ed08 · inbound

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 71

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metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.367812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T05:35:08.200219Z digest=sha256:d87400dfb80fcef4e2481256ee82c36d32031ef75865925b13d6f0475bc47ff3

Observation 59a397f0-75c9-4156-bc67-378eb53aaa3b · inbound

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models cites this paper.

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 38

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metadata mismatch
arxiv_id, observed 2026-07-02T13:46:58.702099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-02T13:44:48.250838Z digest=sha256:5caacbd3f82620cb1a9aaaa88565e62802d6c137012637c4a87b0cfeec5f840a

Observation aa85ba5e-74ce-45b4-b3c8-1a44166b7bae · inbound

Caved or Convinced: Temporal Sampling Gates Claim Deference in Video Large Language Models cites this paper.

Caved or Convinced: Temporal Sampling Gates Claim Deference in Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-15T14:57:42.220714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:57:42.220714Z digest=sha256:d1336578c4e2f547ac6bab61859ded92a1460818d8b7bb36270d91bc2508e3ea

Observation 9476f567-6b75-41d0-bdbe-552ecc2d269f · inbound

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models cites this paper.

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 66

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no resolver link, observed 2026-08-14T04:35:47.303774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:35:47.303774Z digest=sha256:011e4460989d5700010747d19ce181ee953d020766085bf953c4c301e82f60af