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Paper Citation Record · LEDGER

Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.02834.

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

pith.paper-citation-record.v1
1805.02834 v2

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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:41.972175Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 5d3c149e-db4e-49bb-b87e-b58c3b1cb5fa · inbound

Video Understanding by Design: How Datasets Shape Video Models cites this paper.

Video Understanding by Design: How Datasets Shape Video Models Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-04T19:37:41.972175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:37:41.972175Z digest=sha256:e176d50bce997b4409feb33e492fb88be50df560655b72f98d0643602b3ac2ea

Observation b849da04-d024-44f2-b430-62f791c54143 · inbound

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models cites this paper.

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T18:28:20.914249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:28:20.914249Z digest=sha256:d61de1494cfa76a70bd597646694afa6e81b1d18d74b4af15263c770c9d726d1