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Paper Citation Record · LEDGER

VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.00599.

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

pith.paper-citation-record.v1
2501.00599 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:14.117492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.354038Z

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 daa3f080-8080-4034-8e36-ba71f983ff40 · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:19:59.732130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:19:59.603343Z digest=sha256:46680dc0f218cf5ed6bf2112ffc081da573b2656504da8f8624cb3c9c30a9b88

Observation 60a624db-a6fa-43c6-aedc-ac269ea708c2 · inbound

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos cites this paper.

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:14.117492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:14.117492Z digest=sha256:09b625ea2b7edaa5b29cecce095192d1bcd7f610bd39fa1733fd105c78e53813

Observation b8ad127a-1794-4c9e-804a-97320756cfe1 · inbound

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth cites this paper.

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T05:15:43.413008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:15:43.413008Z digest=sha256:5caa52778d10c8ef563489cb0ff7474d7a409cae84274d3e01c22774fa8de0dd

Observation e178e433-1612-4a94-ab5f-f9e3953d7358 · inbound

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models cites this paper.

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T05:12:38.472814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:12:38.472814Z digest=sha256:ff34cfe5caec26af8d2a03ad2e8d55e2bb14cb5347c56ccd56e92475c7486c8b

Observation 64abcfce-ff54-4499-a1da-90fd392a03df · inbound

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly cites this paper.

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:20.688805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:20:32.920925Z digest=sha256:71900208a42f9af0712c656158bbe02e05a982ae3226fd80c1f3bd216bb94641

Observation 9106d3a1-114e-482a-9243-0eead62ad132 · 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 VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.355785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:35:08.200219Z digest=sha256:08fbc10dd573e41691263e5f9d797ddf7cb96f417e78cef4a852a31627b41296