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Paper Citation Record · LEDGER

Online Video Understanding: OVBench and VideoChat-Online

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.00584.

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

pith.paper-citation-record.v1
2501.00584 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T13:13:40.485342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:17:18.581092Z

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 afaf9f30-f354-46ec-a3e9-4f62459c9405 · inbound

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling cites this paper.

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling Online Video Understanding: OVBench and VideoChat-Online

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:02:43.383612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T04:02:43.261543Z digest=sha256:c87bcc8164025d674e9653b0cc261666ae423564698f1bddfd7120c10e490231

Observation 8c402674-59cd-4bb8-8c71-e557319a38ff · inbound

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning Online Video Understanding: OVBench and VideoChat-Online

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:56:07.794133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T20:56:07.247122Z digest=sha256:06e1e842f89b31540105fd705c94802cb3fcbe88844792f6b57011d6521ea2e2

Observation f1005a7c-390d-42be-bba1-17b0d6d91301 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report Online Video Understanding: OVBench and VideoChat-Online

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:06.215670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T05:26:04.960844Z digest=sha256:db0f8067196de5ea2d8db7549eecff3c3c07a8c436e34698099560dc50a62444

Observation efbd6b76-da6c-4f41-b6ab-8d99e4d6e141 · inbound

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding cites this paper.

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding Online Video Understanding: OVBench and VideoChat-Online

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:17:18.583606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T13:13:40.485342Z digest=sha256:dc9e72162cd3bb43193a72ffd26291cc9396093951d630e7bcc6a493f2908343

Observation 9807d542-83f1-4aec-9b6c-a81ac8618563 · inbound

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning cites this paper.

TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning Online Video Understanding: OVBench and VideoChat-Online

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:18:52.274928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T02:18:21.718091Z digest=sha256:420b276f3b5db62648def4b32606617051cb37e508e7f6c2653096b48324444c