Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.17844.

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

pith.paper-citation-record.v1
2507.17844 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:47:28.818411Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact3
verified fuzzy34
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3859547-cc78-47d7-a1a8-e3fb88d0406d · outbound

This paper cites Review on wearable technology in sports: Concepts, challenges and opportunities,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Review on wearable technology in sports: Concepts, challenges and opportunities,

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T14:47:28.838947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 338bca84-3529-4456-bff5-dc53d909da87 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

SV3.3B: A Sports Video Understanding Model for Action Recognition Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:47:28.737949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d64863-bf51-4eca-aa1e-a18a39129839 · outbound

This paper cites LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models.

SV3.3B: A Sports Video Understanding Model for Action Recognition LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:47:28.740370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74989adb-e10d-4565-aa3a-e6a220763406 · outbound

This paper cites A path towards autonomous machine intelligence,.

SV3.3B: A Sports Video Understanding Model for Action Recognition A path towards autonomous machine intelligence,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.152382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41494e1c-70a4-4022-8f07-fb841d1a0c80 · outbound

This paper cites Self-supervised learning from images with a joint- embedding predictive architecture,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Self-supervised learning from images with a joint- embedding predictive architecture,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.146394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7bd5611-59ef-4565-afb7-7d959e6fd077 · outbound

This paper cites V -JEPA: Latent video prediction for visual representation learning,.

SV3.3B: A Sports Video Understanding Model for Action Recognition V -JEPA: Latent video prediction for visual representation learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.140706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 643eb1ac-91a6-4c1e-bbc1-b16805fde231 · outbound

This paper cites UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity.

SV3.3B: A Sports Video Understanding Model for Action Recognition UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:47:28.940562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 029376f8-78cd-460f-9024-e915cb0e2d86 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

SV3.3B: A Sports Video Understanding Model for Action Recognition V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:47:28.752004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354d65ae-8848-46b7-af8c-44abcdf96f4f · outbound

This paper cites Computer vision for sports: Current applications and research topics,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Computer vision for sports: Current applications and research topics,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.134924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc57ca70-1e9c-48d0-8886-435839cb8a2a · outbound

This paper cites Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Soccernet-v2: A dataset and benchmarks for holistic understanding of broadcast soccer videos,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.129217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79293dc3-e8d5-4646-81d1-c6af34e48e68 · outbound

This paper cites Soccernet: A scalable dataset for action spotting in soccer videos,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Soccernet: A scalable dataset for action spotting in soccer videos,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.123627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fac1c96e-771e-4fe3-bb4b-d68df025fad1 · outbound

This paper cites Fine-grained action recognition on a novel basketball dataset,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Fine-grained action recognition on a novel basketball dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.118061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fd68349-1c4d-498b-8c8e-be5fefeb4b81 · outbound

This paper cites Soccernet caption: Dense video captioning for soccer broadcasts commentaries,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Soccernet caption: Dense video captioning for soccer broadcasts commentaries,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.112178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f03400f5-4020-4fe7-bf01-b888895bf08e · outbound

This paper cites Sports video captioning via attentive motion representation and group relationship modeling,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Sports video captioning via attentive motion representation and group relationship modeling,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.106353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c99070ce-cc63-4f03-b9a5-68d95982b5fe · outbound

This paper cites Matchtime: Towards automatic soccer game commentary generation,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Matchtime: Towards automatic soccer game commentary generation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.100713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1709e277-9f4e-4a28-9110-8115693abf3d · outbound

This paper cites Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark.

SV3.3B: A Sports Video Understanding Model for Action Recognition Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:47:28.925700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c6771fa-87fd-482a-9d0d-3a0ade95999c · outbound

This paper cites Fine-grained video captioning for sports narrative,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Fine-grained video captioning for sports narrative,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.095279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21d0f4e1-c2ea-4a6d-8575-36f75976bcd0 · outbound

This paper cites Finegym: A hierarchical video dataset for fine -grained action understanding,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Finegym: A hierarchical video dataset for fine -grained action understanding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.089788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35700ec6-dfc7-473b-8984-aab3d5f17bf9 · outbound

This paper cites Finediving: A fine - grained dataset for procedure-aware action quality assessment,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Finediving: A fine - grained dataset for procedure-aware action quality assessment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.083763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d7bb799-2d82-4796-b9fd-f7259c4d6e1c · outbound

This paper cites Tacticai: An AI assistant for football tactics,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Tacticai: An AI assistant for football tactics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.077698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96745f7f-0097-49c8-af54-2e418a36fc36 · outbound

This paper cites VARS: Video assistant referee system for automated soccer decision making from multiple views,.

SV3.3B: A Sports Video Understanding Model for Action Recognition VARS: Video assistant referee system for automated soccer decision making from multiple views,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.071515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18204d28-eecd-429a-89a7-660da1fa7d85 · outbound

This paper cites X -VARS: Introducing explainability in football refereeing with multimodal large language models,.

SV3.3B: A Sports Video Understanding Model for Action Recognition X -VARS: Introducing explainability in football refereeing with multimodal large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.065929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19ac599a-1c98-46cc-b946-2036d5ea9ff0 · outbound

This paper cites Sports-QA: A large -scale video question answering benchmark for complex and professional sports,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Sports-QA: A large -scale video question answering benchmark for complex and professional sports,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:47:28.782472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e851dbc-fdf2-424a-a7fb-05e4c106ecd6 · outbound

This paper cites SportQA: A benchmark for sports understanding in large language models,.

SV3.3B: A Sports Video Understanding Model for Action Recognition SportQA: A benchmark for sports understanding in large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.060399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.

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.

Observation 05827de8-aa86-48d4-b09d-4a6f57139e35 · outbound

This paper cites Flamingo: a visual language model for few -shot learning,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Flamingo: a visual language model for few -shot learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.054842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6326f665-380b-4582-b3d0-ee35e9d3a584 · outbound

This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

SV3.3B: A Sports Video Understanding Model for Action Recognition BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.049117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27132ff3-fe73-447b-85dc-23a36b03cca7 · outbound

This paper cites BLIP -2: Bootstrapping language- image pre -training with frozen image encoders and large language models,.

SV3.3B: A Sports Video Understanding Model for Action Recognition BLIP -2: Bootstrapping language- image pre -training with frozen image encoders and large language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.043418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e314612-64b6-4c4f-bfae-a239a2f1a818 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Learning transferable visual models from natural language supervision,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.037574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3e888dd-8ada-490a-b844-0a4a727806c1 · outbound

This paper cites Sigmoid loss for language image pre -training,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Sigmoid loss for language image pre -training,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.031708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8cd9abe6-d824-4158-9990-45f7127f4079 · outbound

This paper cites MVBench: A comprehensive multi-modal video understanding benchmark,.

SV3.3B: A Sports Video Understanding Model for Action Recognition MVBench: A comprehensive multi-modal video understanding benchmark,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.026208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09140373-a5f7-4ad0-adf8-01dfc9870cf4 · outbound

This paper cites Llama -vid: An image is worth 2 tokens in large language models,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Llama -vid: An image is worth 2 tokens in large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.020360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8613031e-91c7-49b0-9caf-e3f67a6c1907 · outbound

This paper cites Video-llama: An instruction-tuned audio- visual language model for video understanding,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Video-llama: An instruction-tuned audio- visual language model for video understanding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.014390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5588f34-ed5d-4267-aedc-2f891d43403c · outbound

This paper cites Temporal alignment networks for long-term video,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Temporal alignment networks for long-term video,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.008523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94b8b072-21f6-433a-b120-af04d79c59e9 · outbound

This paper cites Multi-sentence grounding for long -term instructional video,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Multi-sentence grounding for long -term instructional video,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:29.002751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3295252-d1f3-4c72-8202-08f2a77f17de · outbound

This paper cites Panda- 70M: Captioning 70M videos with multiple cross -modality teachers,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Panda- 70M: Captioning 70M videos with multiple cross -modality teachers,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.996492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1e043d5-b327-4f58-97d0-c7c0245eea61 · outbound

This paper cites Vid2seq: Large -scale pretraining of a visual language model for dense video captioning,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Vid2seq: Large -scale pretraining of a visual language model for dense video captioning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.990368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 542eae72-54e7-47eb-a817-15cb45c4713e · outbound

This paper cites Streaming dense video captioning,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Streaming dense video captioning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.984046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c1bb864-2069-46bd-ad3c-82db58b13626 · outbound

This paper cites Autoad: Movie description in context,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Autoad: Movie description in context,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.978020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2287eebb-0f85-4024-bd33-826f84e35ab4 · outbound

This paper cites Autoad II: The sequel —who, when, and what in movie audio description,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Autoad II: The sequel —who, when, and what in movie audio description,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.971953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3b75a8e-7dfc-4aaa-9db7-271e0fde46ba · outbound

This paper cites Autoad III: The prequel —back to the pixels,.

SV3.3B: A Sports Video Understanding Model for Action Recognition Autoad III: The prequel —back to the pixels,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.965659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 225b382c-0702-4d58-aeff-48fbc85917e1 · outbound

This paper cites NSVA Subset: Basketball Video -Text Dataset,.

SV3.3B: A Sports Video Understanding Model for Action Recognition NSVA Subset: Basketball Video -Text Dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:47:28.959004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.