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Paper Citation Record · LEDGER

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.23623.

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

pith.paper-citation-record.v1
2410.23623 v3

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.760504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:13:39.349785Z

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 9ac9fe25-38df-42ac-b3a2-0202d9c65f02 · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-08T21:12:22.760504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:22.760504Z digest=sha256:a139b6091a9b0fb703ae35e93973dd745e5efb959ee6bc355e9e65e2035b3e09

Observation 19e19009-5653-45f5-9559-8d41d1cf149c · inbound

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences cites this paper.

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:40.388138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:40.388138Z digest=sha256:90199c6279a7d411450071e4fab8a273cad8682ddfb8d8916d55b65d3c49f409

Observation cb16cd34-cad6-4d7e-b7b6-5bdaed1ba434 · inbound

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection cites this paper.

RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:13:39.352040Z

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=pdf_text observed=2026-05-16T23:13:02.040618Z digest=sha256:75a12afe665d081a8e0d273772751bd9656f3d6cc6054e9dcfdb0132b957cc1a