Pith. sign in

Paper Citation Record · LEDGER

All in One: Exploring Unified Video-Language Pre-training

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.07303.

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

pith.paper-citation-record.v1
2203.07303 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:36:53.235740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:36:53.361473Z

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 15f088e5-4bdb-4807-953c-29f47edcd0ee · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning All in One: Exploring Unified Video-Language Pre-training

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:22:30.588905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-12T04:22:30.008355Z digest=sha256:fa5b4fe1de44a45fd94d00797eb1ef8e7f26a8e392e209d1acc40c6d1ecee434

Observation cc8bf875-748c-49ee-8abc-6769e4e8bf71 · inbound

GIT: A Generative Image-to-text Transformer for Vision and Language cites this paper.

GIT: A Generative Image-to-text Transformer for Vision and Language All in One: Exploring Unified Video-Language Pre-training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:54:07.715218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-16T20:54:07.572136Z digest=sha256:b5c6d4fe61c1e91fb761a0d8f1fb8e6f9f5e43975bb968c508c4729a41bed22f

Observation d592edaf-3d7a-463e-a2e4-c647938fae95 · inbound

InternVideo: General Video Foundation Models via Generative and Discriminative Learning cites this paper.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning All in One: Exploring Unified Video-Language Pre-training

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:36:53.363109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-17T00:36:53.235740Z digest=sha256:daea8c42ee6c3239223650c07feed4f0c31333349579a704b3c7d7156f6567e6

Observation 3a02762d-64c5-4419-932f-1de2d9e32d0a · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding All in One: Exploring Unified Video-Language Pre-training

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:30:00.646028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-13T23:30:00.457974Z digest=sha256:2dc0300695847c70cb65017a170e908141398c77f41ba8f4a514efdbd3f74b7f

Observation 44773781-818c-4857-ae18-e6dd84bce805 · inbound

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation cites this paper.

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation All in One: Exploring Unified Video-Language Pre-training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:30:22.616379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T06:30:22.431538Z digest=sha256:27b06b37b912048ea15f8ebd2deb2a241206e1d9e1b31a0b16b445e46a46deb2