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Paper Citation Record · LEDGER

An Examination of the Compositionality of Large Generative Vision-Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.10509.

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

pith.paper-citation-record.v1
2308.10509 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:29:49.756784Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:12:20.773404Z

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 3e40ada5-e8f2-47dc-99db-4c7892f0a542 · inbound

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding cites this paper.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding An Examination of the Compositionality of Large Generative Vision-Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:29:49.756784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:29:49.756784Z digest=sha256:8c4153c283cd6d2cc4299b1434b62c50ec6c0f72c9a8538a128cc80bf31c1d30

Observation 4f6dd310-9524-424d-8221-e830ebea8546 · inbound

Zero-Shot 3D Visual Grounding from Vision-Language Models cites this paper.

Zero-Shot 3D Visual Grounding from Vision-Language Models An Examination of the Compositionality of Large Generative Vision-Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:12:20.851836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T13:12:13.802829Z digest=sha256:6c051010fc51563416d4f0d1b232417d8bc20b3fe4b6408c6eec117dde08ea88

Observation 61b1d477-c84d-4d3e-9fb2-c3ae3b292bad · inbound

OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding cites this paper.

OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding An Examination of the Compositionality of Large Generative Vision-Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T13:46:27.883179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:46:27.883179Z digest=sha256:cee61d626557699996b13641e76f0f623cff6afe69a8653e0fb46680377021d2