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Paper Citation Record · LEDGER

VHELM: A Holistic Evaluation of Vision Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.07112.

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

pith.paper-citation-record.v1
2410.07112 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T13:13:05.210457Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.400486Z

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 ec216b73-8471-48af-948b-8b767783bd5f · inbound

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense cites this paper.

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense VHELM: A Holistic Evaluation of Vision Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:24.446490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T13:13:05.210457Z digest=sha256:2c691d05e5d11480d31883c59233758099186380415d8ebbeffc999f147039af

Observation 0f31ae83-37db-49f3-92a2-a2b425dc5b89 · inbound

Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark cites this paper.

Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark VHELM: A Holistic Evaluation of Vision Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.402008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T13:12:37.266422Z digest=sha256:7359d2aa7e7a51ad3168aa1b07665199e8863ffa5e42178de898d1b16f15a0cf