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Paper Citation Record · LEDGER

Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.01363.

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

pith.paper-citation-record.v1
2408.01363 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:36.464305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:31:36.544117Z

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 419b0087-4ef4-4f54-942c-09b97ce085b7 · inbound

Re-ranking the Context for Multimodal Retrieval Augmented Generation cites this paper.

Re-ranking the Context for Multimodal Retrieval Augmented Generation Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:31:36.548489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T21:31:36.464305Z digest=sha256:88cadd9e565a993ffc255f58eb2a5d9214f1d99163ac8c2149139dd677fe2995

Observation f7291a95-f505-4a84-a32c-70d08b1d8a3b · inbound

Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search cites this paper.

Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T07:15:53.916006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:15:53.916006Z digest=sha256:e29a7dd33f5740e3db253625ab3a642e04495db8aef435e6c1d7ff744ce6804a