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Paper Citation Record · LEDGER

Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.06031.

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

pith.paper-citation-record.v1
2210.06031 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:36:33.264166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:36:07.589469Z

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 b6729516-1e27-4bfa-8221-7f2d05f1a4d8 · inbound

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:56.894062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:36:33.264166Z digest=sha256:ee77e46ab1edbce0d73e9ea789d3d113c6a935da1773b92f1ad0a70379ae7b92

Observation 03e93ad8-2c33-491c-8abb-c08333ad9c12 · inbound

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory cites this paper.

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:07.595771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T01:26:42.020898Z digest=sha256:09a2c1a85beaea352152cde66919fdb6e8cb09de269ba9d8b5da2886c3a2d15b