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Paper Citation Record · LEDGER

VinVL: Revisiting Visual Representations in Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.00529.

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

pith.paper-citation-record.v1
2101.00529 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:48:03.880972Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:50:24.162825Z

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 872924f1-ca31-4fee-b9ec-dbfdc2f2e61c · inbound

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models cites this paper.

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models VinVL: Revisiting Visual Representations in Vision-Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:10:50.163700Z

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=2026-05-12T00:10:48.610351Z digest=sha256:f034230c416d8e64efe0d9b8769e1bde2ade401015ea99789ef4ec0e4fa011a2

Observation b495ffd3-6e09-4754-82ff-957c6e732d25 · inbound

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models cites this paper.

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models VinVL: Revisiting Visual Representations in Vision-Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:50:24.165819Z

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=2026-05-13T22:50:24.053411Z digest=sha256:32d58a6380b1c2c11ff2a2e9054fe175741791e0b59452416840f48d2b187dd5

Observation 700b9ab6-fd88-4774-99c9-fa3b8739461a · inbound

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark VinVL: Revisiting Visual Representations in Vision-Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-04T18:48:03.880972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:48:03.880972Z digest=sha256:3b7df5e1957e7040165362df1de2166e3adb74f1d87deb8d6047ba2ba54c36a5