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Paper Citation Record · LEDGER

Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.04561.

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

pith.paper-citation-record.v1
2309.04561 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:31:00.764078Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:32:59.398296Z

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 182fbc81-06c2-4ee0-8c8c-dd153e32baff · inbound

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM cites this paper.

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:32:59.400054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T21:31:00.764078Z digest=sha256:07b95f73a9286165213d346f2c5e787bc9f79127cdf3a3e1f346bd4c68486aef