Paper Citation Record · LEDGER

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2503.19622.

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

pith.paper-citation-record.v1
2503.19622 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:40.498738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.494246Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation beb14c53-699f-45e8-9ebd-2dd9f4dd626d · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.498738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd4926d-6a75-49a4-baed-e20566a79929 · inbound

FlowReasoner: Reinforcing Query-Level Meta-Agents cites this paper.

FlowReasoner: Reinforcing Query-Level Meta-Agents Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:02.734224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c756abe4-3b0e-4e5d-84c4-bf7443e4ccf3 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.492734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0463ea95-d515-4e75-818a-a298e5fa2aa9 · inbound

Position: Reasoning After Perception Means Reasoning Without Vision cites this paper.

Position: Reasoning After Perception Means Reasoning Without Vision Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:02.018102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ce195b-edf5-44bd-876c-ec9c41d713e0 · inbound

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs cites this paper.

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:36:44.178097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47c1b3e6-57a4-4dab-94d9-c39b6b685622 · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:36:25.319744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 884fc93a-6ad0-4eaf-a160-9d45845439b3 · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:03.410203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ccaa472-8b4e-4ff6-9427-76e5f5c7c32e · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:46:37.516386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1550ced-2296-4758-8472-36a13f95c6f1 · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:56.147601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 013e244e-4fb7-49fa-9708-13a75743d96e · inbound

MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning cites this paper.

MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.495721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 970c98c7-f783-4042-9bea-44d19dea1eeb · inbound

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning cites this paper.

DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:04:21.395611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 415b78e4-c270-4d21-8b86-818d954b2980 · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:25:41.318229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8674ced2-4dfa-4b5d-81f6-ad5b1491a4a8 · inbound

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators cites this paper.

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:33.661815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea0b0c4f-13d1-4be1-bc4f-86d6647cd113 · 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 Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-14T04:35:49.944753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.