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Paper Citation Record · LEDGER

Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.04041.

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

pith.paper-citation-record.v1
2309.04041 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:00.272098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:10:10.342286Z

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 58589fc9-7993-4985-9065-bc9937e87c43 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Reference 204

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.781165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:2ec90730f524433426b52554368d772380321254193bb1e93d7d58606a292b46

Observation 9a3f2176-c86f-4226-9dbc-90cd6c2213e1 · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:10:10.344054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T22:10:10.186950Z digest=sha256:0ee5f5b83e3c07a22d91763bcc87a5423e0d795616c9d32310072ce7888b5ed3

Observation 75477e28-e5b3-4fee-82f3-7525647ec6b3 · inbound

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models cites this paper.

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T11:31:36.900914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:31:36.900914Z digest=sha256:f64bad3ee9c0703993bc01e028f30d846f2327df0398258554863d41c85c90e8

Observation c50934a6-876e-45e6-8396-b10a0d94a28d · inbound

A Large Vision-Language Model based Environment Perception System for Visually Impaired People cites this paper.

A Large Vision-Language Model based Environment Perception System for Visually Impaired People Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:31:00.272098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:31:00.272098Z digest=sha256:2d768d18d7749328d4136f8a215c3a2870772cc52cee74cec436161eff23abe1

Observation 75bf3abe-ae22-4794-a08e-2e6f44e881f1 · inbound

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models cites this paper.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T04:09:10.011649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:09:10.011649Z digest=sha256:898c8624addf220b7436c4be255598577a89de6de92c6dd0922e954421cefd98