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Paper Citation Record · LEDGER

GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.07962.

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

pith.paper-citation-record.v1
2504.07962 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:00:27.200460Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:09:31.971762Z

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 6981f757-c6f2-4321-91b1-52650f32007e · inbound

BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos cites this paper.

BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:27.200460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:27.200460Z digest=sha256:55ea670c54f7676391889e81398330303c9ddeac1e722f56732335a77dad6c13

Observation 112a1780-43ec-4bc2-9be2-5218a3c89554 · inbound

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation cites this paper.

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:09:31.977624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T05:09:31.686456Z digest=sha256:a6e0e274ccd1e27de577bacea0091c166bbdba45ff2bf674a6fb657ce93ca583