Paper Citation Record · LEDGER

ARGUS: Hallucination and Omission Evaluation in Video-LLMs

As of 18 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 3 inbound Pith citation observations for arXiv:2506.07371.

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

pith.paper-citation-record.v1
2506.07371 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:39.882037Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T19:27:29.843866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

83 of 83 outbound references displayed

verified exact1
verified fuzzy32
unresolved49
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 590dd849-9fdc-4cb2-9c2a-a8d657e5fcdf · outbound

This paper cites https://huggingface.co/ blog/smolvlm2, 2025.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs https://huggingface.co/ blog/smolvlm2, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.567708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53434356-bcfc-4a62-85aa-714e81b14705 · outbound

This paper cites GPT-4 Technical Report.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.572337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e9437a-4105-4dda-b307-0f1fcec02fb2 · outbound

This paper cites Are language models better at generating an- swers or validating solutions?, 2025.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Are language models better at generating an- swers or validating solutions?, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.576307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594055c8-92bc-44cd-8a98-098970bdff97 · outbound

This paper cites The snli corpus.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs The snli corpus

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.580023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e3db30-430d-4ab3-938e-ffee2a357ce6 · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity understanding.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Activitynet: A large-scale video benchmark for human activity understanding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:41.013891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b0071cc1-0381-46c1-bc38-2c8f19ae1834 · outbound

This paper cites e-snli: Natural language inference with natural language explanations.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs e-snli: Natural language inference with natural language explanations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:41.001815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea527a28-a167-4066-bada-0ccd3e18f566 · outbound

This paper cites AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.591343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de01e0d6-572a-471e-be62-177d0913e4fd · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.990292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e3b75960-d454-47e7-94a1-33433d9612bc · outbound

This paper cites NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:41:40.503375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f774eab-0042-4aef-909f-e623f53af606 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.603674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daada15a-9842-4e3e-9409-13fce30079e2 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.607296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff0d009-fb19-4dac-9bd3-b6c8c90a9cfa · outbound

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

ARGUS: Hallucination and Omission Evaluation in Video-LLMs VidHal: Benchmarking Temporal Hallucinations in Vision LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.611326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8790372f-2667-4003-8322-fb3d0e44679f · outbound

This paper cites Transforming Question Answering Datasets Into Natural Language Inference Datasets.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Transforming Question Answering Datasets Into Natural Language Inference Datasets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.615131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc096888-3b71-41e3-b9eb-acd30d47cd74 · outbound

This paper cites Sketch, ground, and refine: Top-down dense video caption- ing.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Sketch, ground, and refine: Top-down dense video caption- ing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.978542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f633d05-c3ae-4abc-99e4-cdd89b624e87 · outbound

This paper cites diffusers/shot-categorizer-v0.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs diffusers/shot-categorizer-v0

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.966853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11436196-dc89-46e8-992c-55015e1c57bb · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.955434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9d3a925-7cf2-41e0-8c54-ce28d147afb5 · outbound

This paper cites TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.629628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f920541-4fe9-4695-b8a7-0ec9e816b893 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.633535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604cd840-4811-4ca3-a5b2-7c32a906c890 · outbound

This paper cites TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.637353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 853c9b63-4469-4c28-985b-029a6dc028ad · outbound

This paper cites The Llama 3 Herd of Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs The Llama 3 Herd of Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.641007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e70f61-5368-4429-8731-bf0fa61fdcde · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Ego4d: Around the world in 3,000 hours of egocentric video

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.943884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 497078f1-6181-4f4c-8d86-578b877f8d17 · outbound

This paper cites Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.932298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e79c9fe-81c7-4c4b-871e-10cfeb9b434c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.652319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78b48fdc-9398-45be-8cdf-acb5b6892294 · outbound

This paper cites CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.656753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d6a5c6b-4b6b-4c48-a86b-7691c995894f · outbound

This paper cites A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.660603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842241d2-a3ab-4efa-8959-58b73cfcc793 · outbound

This paper cites Multi-modal dense video captioning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Multi-modal dense video captioning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.920539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9a6224b-e33c-4b5d-8107-1ccf937b0b42 · outbound

This paper cites FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.667967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8401a1-1690-4515-8742-939acb8bcdab · outbound

This paper cites Throne: An object-based hallucination benchmark for the free-form generations of large vision-language models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Throne: An object-based hallucination benchmark for the free-form generations of large vision-language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.908766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc8eae4b-c5fa-4bfa-a9b4-4288505245ed · outbound

This paper cites Do you remember? dense video captioning with cross-modal memory retrieval.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Do you remember? dense video captioning with cross-modal memory retrieval

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.897385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a44e6d2-41bf-4282-94e6-6f4739e841e9 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs LLaVA-OneVision: Easy Visual Task Transfer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.679348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e51ca5a-fd6e-436d-8e09-b1acf0016e1a · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.683048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3235d002-c515-44c3-bca8-56d0f099ac3c · outbound

This paper cites Jointly localizing and describing events for dense video captioning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Jointly localizing and describing events for dense video captioning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.885454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0faea484-9839-4129-a027-1a92b565eff9 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.691477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbdd126-2c17-4950-8c3c-f65d8f2cea17 · outbound

This paper cites Revisiting the Role of Language Priors in Vision-Language Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Revisiting the Role of Language Priors in Vision-Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.695176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f391b0fa-d002-4c69-bccb-db675f60a44d · outbound

This paper cites DeepSeek-V3 Technical Report.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs DeepSeek-V3 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.699034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f98fc9-7c03-41f9-8be1-ef8aa579352d · outbound

This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.702539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ccf135e-3002-481c-b3af-6b83f96d1452 · outbound

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

ARGUS: Hallucination and Omission Evaluation in Video-LLMs A Survey on Hallucination in Large Vision-Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.706447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b20e15-00a1-4698-bfd0-95a6354a65c2 · outbound

This paper cites Logical Reasoning in Large Language Models: A Survey.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Logical Reasoning in Large Language Models: A Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.710210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9330aa65-f803-4b44-b874-5622c5d3b6e6 · outbound

This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Egoschema: A diagnostic benchmark for very long- form video language understanding

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.873149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d20a118c-b451-4449-931b-f595327e946e · outbound

This paper cites Streamlined dense video captioning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Streamlined dense video captioning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.861710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40e8b251-8ace-4e9d-ba64-119b03a54a5b · outbound

This paper cites Neptune: The Long Orbit to Benchmarking Long Video Understanding.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Neptune: The Long Orbit to Benchmarking Long Video Understanding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.721179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d340bd51-3c6c-4172-b062-c3df7d13eb43 · outbound

This paper cites MINERVA: Evaluating Complex Video Reasoning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs MINERVA: Evaluating Complex Video Reasoning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.724979Z

Source-reported events for the cited work

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Observation 28a66fb7-a3a0-4adf-b23a-f80e97d8af3a · outbound

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ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.849414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb402e6e-1dd4-485f-83f1-c6ef69ce98b7 · outbound

This paper cites Per- ception test: A diagnostic benchmark for multimodal video models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Per- ception test: A diagnostic benchmark for multimodal video models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.838364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc36960e-67ce-4338-be28-82def6011f08 · outbound

This paper cites Dense video captioning: A survey of techniques, datasets and evalu- ation protocols.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Dense video captioning: A survey of techniques, datasets and evalu- ation protocols

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.827001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9522d15-3ffc-4202-8232-b29cd8fb2c3f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Learning transferable visual models from natural language supervi- sion

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.815178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b0b80fd-8d51-4c1e-8171-e57f3938b3aa · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs SAM 2: Segment Anything in Images and Videos

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.743102Z

Source-reported events for the cited work

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Observation c327895c-27f6-407b-a9e4-89b92372a249 · outbound

This paper cites CinePile: A Long Video Question Answering Dataset and Benchmark.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs CinePile: A Long Video Question Answering Dataset and Benchmark

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.746918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3474a064-b49d-4ea5-a3d0-0a392fdbebd6 · outbound

This paper cites Object Hallucination in Image Captioning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Object Hallucination in Image Captioning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.750672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc6ec04-dc45-4cbe-b75c-726f0cd293ea · outbound

This paper cites FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.754931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968c5eb9-0ece-4a9d-b022-39ef207dc3b0 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.758699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032d637b-cfd8-4f28-90b0-4a4a011601a5 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.762539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c9d01d-10fd-482b-a514-635336999edc · outbound

This paper cites Laion-aesthetics predictor v1.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Laion-aesthetics predictor v1

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.802807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b189f98f-a727-4500-ab51-687af6709944 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.777404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation beccbad5-5d4a-48a8-9403-44c96a1d2121 · outbound

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

ARGUS: Hallucination and Omission Evaluation in Video-LLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.778625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272f68dc-8c74-48c3-841d-1b0aea410c5a · outbound

This paper cites End-to-end dense video captioning with parallel decoding.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs End-to-end dense video captioning with parallel decoding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.764422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46706f6f-7aae-4888-9b32-f568e6a899ee · outbound

This paper cites LVBench: An Extreme Long Video Understanding Benchmark.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs LVBench: An Extreme Long Video Understanding Benchmark

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.786245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models.

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

Reference 58

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237327f6-1c10-4e24-9a56-bc0da2a5377d · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.795166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7121c4c7-ecc8-4b16-883c-ddc3e5f5fa3b · outbound

This paper cites ANLIzing the Adversarial Natural Language Inference Dataset.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs ANLIzing the Adversarial Natural Language Inference Dataset

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.799211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9981f233-237e-49e4-ac79-383070b7792c · outbound

This paper cites Joint event detection and description in continuous video streams.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Joint event detection and description in continuous video streams

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.751725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c428ba8b-8618-4704-899e-92a1a8d914a6 · outbound

This paper cites Qwen2.5 Technical Report.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Qwen2.5 Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.806096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4cc3595-ad19-4bfd-85b0-93f590950b96 · outbound

This paper cites mplug- owl3: Towards long image-sequence understanding in multi- modal large language models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs mplug- owl3: Towards long image-sequence understanding in multi- modal large language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.739115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60c2cd09-2368-4c53-911d-ff2627913e71 · outbound

This paper cites Sigmoid loss for language image pre-training.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Sigmoid loss for language image pre-training

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.726197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab331a25-ef26-468e-ad59-7ec1fcd9dcda · outbound

This paper cites Eventhallusion: Diagnosing event hal- lucinations in video llms.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Eventhallusion: Diagnosing event hal- lucinations in video llms

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.816835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b627c57-0fa4-443d-aa50-408e9acd89d6 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.820651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81ab276-303d-48da-a435-cf4ae4673279 · outbound

This paper cites Streaming dense video captioning.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Streaming dense video captioning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.706493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1645717c-29a1-4eb3-8e9f-e7e2978c2325 · outbound

This paper cites Apollo: An Exploration of Video Understanding in Large Multimodal Models.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Apollo: An Exploration of Video Understanding in Large Multimodal Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:39.827734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc41f06-770e-412a-8654-003eee6d9964 · outbound

This paper cites In our setting, we adapt this score by computing the average aesthetic score across all frames in a video.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs In our setting, we adapt this score by computing the average aesthetic score across all frames in a video

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.695010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a92f3c8c-df99-4e6f-aadd-e7b7c0d94160 · outbound

This paper cites diffusers/shot-categorizer-v0 [15] to identify the lighting type in each frame of a video.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs diffusers/shot-categorizer-v0 [15] to identify the lighting type in each frame of a video

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.683387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1979757-13bc-4feb-afa8-5ffe89da3e24 · outbound

This paper cites a person is cooking,.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs a person is cooking,

Reference 72

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:41:40.672044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5dc5497-1941-4a4e-a037-0e819dc33584 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.660632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1c91468-e8e7-4dcd-8dfd-409e2c306c54 · outbound

This paper cites - Contradiction: Contains information that directly conflicts and is unsupported by the source_caption.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs - **Contradiction**: Contains information that directly conflicts and is unsupported by the source_caption

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.649092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 727e4eac-d3d9-4867-a2e0-5c17aad0d6db · outbound

This paper cites "" {source_caption}.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs "" {source_caption}

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.637407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85d31883-22d3-4a3e-b194-0a7dc71a8c82 · outbound

This paper cites SUNFEAST PASTA TREAT,.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs SUNFEAST PASTA TREAT,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.625690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 874c3d87-e3e1-44de-ac49-63f4c3ab4484 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.614091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ab7b8ee-7814-4c1e-aec7-01350acc8e0b · outbound

This paper cites Sunfeast Pasta Treat.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Sunfeast Pasta Treat

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.602040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2699120f-4ad9-4311-94d9-262fa15f5fa6 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.588373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3a9c83b-57be-44b6-9dae-4d84078b2644 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.576484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed7cf2fa-d875-45eb-9b67-1e041f8e2702 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.564348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 87586a80-fd26-450d-8225-09c6a45c0483 · outbound

This paper cites Recipe Card.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Recipe Card

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.552588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb88127b-ae8a-4e03-a2b4-ac02c886da56 · outbound

This paper cites Quick and Easy.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Quick and Easy

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:40.540599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 278b13a9-a20b-4cf0-8118-c70e186f7894 · outbound

This paper cites an unresolved cited work.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:41:40.790525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 5b0bf116-a3cc-4bbf-a064-779e84b2e2d4 · inbound

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

Towards Temporal Compositional Reasoning in Long-Form Sports Videos ARGUS: Hallucination and Omission Evaluation in Video-LLMs

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:34:15.466797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a51a5976-a148-47b5-b556-9b23dbc5f62a · inbound

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

Towards Temporal Compositional Reasoning in Long-Form Sports Videos ARGUS: Hallucination and Omission Evaluation in Video-LLMs

Reference 25

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cd54224-1dff-4d00-bfe9-a76e6a256085 · inbound

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning cites this paper.

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning ARGUS: Hallucination and Omission Evaluation in Video-LLMs

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.469585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.