Paper Citation Record · LEDGER

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.14935.

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

pith.paper-citation-record.v1
2503.14935 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:42:56.435217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.552515Z

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 4a16d858-a090-4ad3-8b14-09060d216f9b · inbound

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents cites this paper.

Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.435217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c1f8e-20ec-4c95-8ea6-5d50f7b9f9dc · inbound

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering cites this paper.

OmniJigsaw: Enhancing Omni-Modal Reasoning via Modality-Orchestrated Reordering FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:11:01.987099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2fda3dd6-96b2-41c7-8dc3-24b2988e3fed · inbound

Exploring High-Order Self-Similarity for Video Understanding cites this paper.

Exploring High-Order Self-Similarity for Video Understanding FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.437156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e2790ebd-76ea-43f3-8b80-092256b12253 · inbound

Can Multimodal Large Language Models Truly Understand Small Objects? cites this paper.

Can Multimodal Large Language Models Truly Understand Small Objects? FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:19.315650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e72667ee-7ddd-435b-b475-43da0418d8b8 · inbound

Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events cites this paper.

Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:20.891145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdcf71f0-090c-4b99-8b41-452c133adf42 · inbound

NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models cites this paper.

NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:46.168086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9858c69c-218b-4fc2-a876-cef4541c5314 · inbound

MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models cites this paper.

MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language Models FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:09.553966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 268cee1b-0b84-4d96-bd0d-fd0148dd69f6 · inbound

Natural Language Camera Movement Understanding cites this paper.

Natural Language Camera Movement Understanding FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T05:16:19.750976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.