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Paper Citation Record · LEDGER

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.10407.

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

pith.paper-citation-record.v1
2102.10407 v5

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:27.375861Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5c6a96c-a90c-4304-bd62-da4dd85500bc · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:03:58.019440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:fa421fbc27fdfda552eb2577b921b0552a4e0eb7f9e49b0a0d3d8df2b385f9f0

Observation fe851190-7f20-4bbe-8c17-a8977c1193f0 · inbound

Sample-efficient Integration of New Modalities into Large Language Models cites this paper.

Sample-efficient Integration of New Modalities into Large Language Models VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:27.375861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:00:27.375861Z digest=sha256:d4b568bc4adc630b483040980a72f2baad82f2c924e48abebae55b695b0f4c6c