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Paper Citation Record · LEDGER

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2302.00402.

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

pith.paper-citation-record.v1
2302.00402 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:52.964977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:04:15.054398Z

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 71a320d5-2ef4-4aa6-a654-0a2a5620c7ba · inbound

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:04:15.057623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T09:02:31.211260Z digest=sha256:4d0d788d44f98279ad082289742da59b8737f3d07335601b3864f314488ca77c

Observation e8ea9a48-177e-4db5-a889-4efe78cf0f9f · 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 mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:30:22.637374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T06:30:22.431538Z digest=sha256:04217f0b740c22b5f444f37bba570ffdb35f29105f8b8d4c6c8acfdc59fec3d7

Observation e7eeb6d8-0493-448f-94ac-be651bd71be9 · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.158538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:2d672cc5c6a4036128cdc45f04aba7ad49acbc43037bf3d45cc89664e0587dba

Observation 484716e0-2545-429b-98de-c9ffdd87a54e · inbound

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning cites this paper.

Whats in a Video: Factorized Autoregressive Decoding for Online Dense Video Captioning mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T15:06:05.108091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:06:05.108091Z digest=sha256:1643056c56009f5772c4b1c154f2f77b44f2adb6efbb997eb6d9cb8896bdb3a3

Observation 8d2d63bf-2704-4780-8b8e-b83a8dce358f · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 285

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:22.575061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:22.575061Z digest=sha256:2a27c63492318370fe27912133761dc798db9217ade6cc93ef7b55c88771bda1

Observation cdf6bca2-8547-46d6-9c05-8ee636428641 · inbound

Understanding Complexity in VideoQA via Visual Program Generation cites this paper.

Understanding Complexity in VideoQA via Visual Program Generation mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:52.964977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:52.964977Z digest=sha256:845a535fc23a65ff4fdc2fe89c12e8a5c75cfde190b133876daa78f7c9f6cdb2

Observation 6bcc3a59-7798-482f-bb50-55d9122a0480 · inbound

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach cites this paper.

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:45.905581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:45.905581Z digest=sha256:c73709125c3f851f11fbbc79a39a9256c7a23df8c0dcbd250b808400d68ffc8e

Observation ac6ea12a-aa4c-494e-8766-a622a54fa52e · inbound

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results cites this paper.

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T11:17:54.629910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:17:54.629910Z digest=sha256:5bdfa2c24647bba1a474d041cc74ed6ab87ea540ecb75e2e086e545ddf9bb2e4