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Paper Citation Record · LEDGER

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.08474.

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

pith.paper-citation-record.v1
2410.08474 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:54:11.080481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.190636Z

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 b429bcac-9eb1-4e81-8b6a-6d0471ebc86c · inbound

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding cites this paper.

FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:54:11.080481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:54:11.080481Z digest=sha256:e970fdecaa0ad1d8972cfe225dbe14bac7f3e31cba5e5ce6557805c152a86f0a

Observation cf09c2f4-7fd6-452b-ac39-7224fe810457 · inbound

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs cites this paper.

E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:29.909632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:29.909632Z digest=sha256:4fb04dbfc041abec977cfe23126a24e122e68ea70b431cd90b5b2de6488714a6

Observation 5c80b69f-ef7f-4e47-a145-9fe7c26de692 · inbound

SV3.3B: A Sports Video Understanding Model for Action Recognition cites this paper.

SV3.3B: A Sports Video Understanding Model for Action Recognition SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:47:28.786186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:47:28.786186Z digest=sha256:b95caa43bcf4d98d0c3938d635e158d200849fd2aaf201e94ee3aff9dd50eb21

Observation e08a20a8-327d-4584-8a1a-42b4cb9ec13b · inbound

TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies? cites this paper.

TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies? SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:37.870258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T16:40:16.630602Z digest=sha256:45c5416428dc41bf09fd26329b0d55d90b2c21757d9e149db141871a256c1ae1

Observation 3e5db680-fcc2-4af2-8aec-fec36a7ca2f7 · inbound

BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing cites this paper.

BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:25:51.593216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T19:10:07.699225Z digest=sha256:7c07000c08c1ca127d602602261cf9e1073c16540c0a1ab85be7f4ee14331a94

Observation 0caba9f5-30d4-4cc7-9633-f9bd4243b5ee · inbound

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees cites this paper.

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:02.289531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T08:38:27.081358Z digest=sha256:404a81bb59d8c808b6dc40d2093d6bc15848a8e066eca33c80a08253046f6f09

Observation 421eddde-eb2d-4eca-8e16-3a7e0cc54aab · inbound

Towards Temporal Compositional Reasoning in Long-Form Sports Videos cites this paper.

Towards Temporal Compositional Reasoning in Long-Form Sports Videos SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-14T19:27:29.843866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:27:29.843866Z digest=sha256:36822713132adfb7813f4fae913c524d31283660d020d9ad0faabb93e9855216

Observation 6044b56a-d9f3-4057-b6f2-9a3dba6eb784 · inbound

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing cites this paper.

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:46:13.729407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T08:03:57.287297Z digest=sha256:017e15f6070be791f05380a1395bb52d8cc10f2e92b8b211246ef5f7c6802714

Observation 60a3f631-79f0-420f-b7cd-e28232dcc8cc · inbound

Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 244

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:27:15.491679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T22:00:28.350003Z digest=sha256:2e1e66a15943c3d94b16419a6da2d9409b66817fe1156e13a64a1c1541dfa7e0

Observation eb3bd4c0-1109-4650-b953-6772bc61e244 · inbound

Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA cites this paper.

Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.192335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T16:55:35.743040Z digest=sha256:1bdb90710d1affc55405b75daa48fd69f09576dbb2c05c3320c7ea8916179622