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Paper Citation Record · LEDGER

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.13123.

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

pith.paper-citation-record.v1
2504.13123 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:02.739280Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:39:09.371232Z

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 c188f1b7-3ace-4697-8ca8-53ccadd7f3ac · inbound

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey cites this paper.

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

Reference 105

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:39:09.445066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T15:39:02.739280Z digest=sha256:195181ec7e70c169c162d09f03c1c6303cb86d476fff5754193705b9063acd85

Observation 3a734a36-931b-4707-b5bf-109b8efadd8c · inbound

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation cites this paper.

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T04:09:52.550837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:09:52.550837Z digest=sha256:1b52faee71ccdc898933ef7c28c46839de7157b2d4fcde1d64826e577a65703d