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Paper Citation Record · LEDGER

Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.15563.

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

pith.paper-citation-record.v1
2502.15563 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:40.241722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:01:41.486343Z

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 8e4113d0-fc0c-4237-9c6b-e888e47cdaff · inbound

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models cites this paper.

BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:40.241722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:40.241722Z digest=sha256:fbb224552914f145f5e0583fd7fca6739ca8e189bbbdc0b2bb31ca481387d1e4

Observation 73f50197-5c0a-467a-86b8-fcb825cc339b · inbound

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study cites this paper.

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T06:01:41.495440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:01:40.884579Z digest=sha256:c40c2dd62233d43912703fc99fd7da5667d6bfb1707968f436b005942fa709d7