Paper Citation Record · LEDGER

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.04362.

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

pith.paper-citation-record.v1
2306.04362 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:23.223434Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:18:01.355607Z

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 55a46a9f-563a-445b-ac35-67455fb18c71 · 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 Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 188

Resolution: unresolved; no resolver link, observed 2026-08-08T21:12:23.223434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50918665-cf97-4c2f-9f92-a8529f81cb66 · inbound

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs cites this paper.

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:11.661900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9c54da-b929-4ebf-97e6-73ec42ea623b · inbound

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection cites this paper.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.611312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c26340-723a-4cad-affb-4265dcf14459 · inbound

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity cites this paper.

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 57

Resolution: verified exact; orphan_title_repair, observed 2026-05-13T17:18:57.108015Z

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.

Observation dc350964-d9d8-4713-97ff-e3027c07d8f4 · inbound

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection cites this paper.

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:10.034191Z

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.

Observation 6b2f5801-d3f0-4c5b-8f9a-f7097b7e2736 · inbound

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework cites this paper.

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:06.762039Z

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.