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Paper Citation Record · LEDGER

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.02904.

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

pith.paper-citation-record.v1
2507.02904 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:00.502821Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c18414f-7603-40bb-802f-90b11a2f584b · outbound

This paper cites Analyzing fast, frequent, and fine-grained event sequences from videos.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Analyzing fast, frequent, and fine-grained event sequences from videos

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.341510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.302406Z digest=sha256:c7ad873ace5b0b5d94f8c365d50e65148abd21b0dcca28cbe8dd3f0d1f8e948f

Observation e2f5623d-ab5c-45ad-8c11-9ced88060cab · outbound

This paper cites \ M \"u ller, O.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis \ M \"u ller, O

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.282633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.308522Z digest=sha256:0fa1c43667e0a8061b1f8be1564cbbd9f9d8f856d19c5f04159b559e73f422ac

Observation e6fc710a-4e50-4e53-be3b-2dddbaf085db · outbound

This paper cites \ Dolan, W B.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis \ Dolan, W B

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.227036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.313689Z digest=sha256:dda288d062286da5e8bcc84876ccbcb283c692e601b85be61cbf12b91bf641b7

Observation 03dd3796-ff4c-4ac6-9626-8b4080a8a306 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 4

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unresolved
no resolver link, observed 2026-08-06T23:12:00.320860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.320860Z digest=sha256:342639f78b605d46286e9b987cf8f9431d6d19c4c7bdf87bfdf3384ecef4107c

Observation 26e4a182-def4-42bf-9b33-f225fac24979 · outbound

This paper cites \ Karaku s , O.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis \ Karaku s , O

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.185426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.326751Z digest=sha256:b98b611e3db209f536f0f5c40bdf657a2ace5f3e059fd0d189ecf5dac3345540

Observation 2a4b9349-c516-4319-b87f-d08a4d842b16 · outbound

This paper cites , Jiang, K.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Jiang, K

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.170467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.332969Z digest=sha256:7726e55530ad455f7c00d909c85a5f61fedb26a36c1b151c9e91bb30dfd19fd6

Observation 6f6e3bb2-11d7-4347-8b6a-4c32b8bd7764 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 7

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no resolver link, observed 2026-08-06T23:12:00.339144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.339144Z digest=sha256:9a568bd8597d017af73215eb6d8f795dbc2107a74845a29052cecf6e7390c374

Observation db079739-2a7e-4562-8bba-fc4b286f7a6b · outbound

This paper cites APACrefauthors \ 2004.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis APACrefauthors \ 2004

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.155358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.344248Z digest=sha256:7b5f0a528b813adebfe266d5d82502cf4ecfab73dc6a39e61a67814247b8c84c

Observation f1d9234d-c1d2-40fc-b4ca-cd66f1882fc5 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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no resolver link, observed 2026-08-06T23:12:00.349333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.349333Z digest=sha256:5f3a52c8e47ab434e36e9da364cfe9f94f360698653b4a9ece84f02e613eee2a

Observation 47a54e2f-c6c3-4651-ac9e-0423d7c4f8cd · outbound

This paper cites , Liu, Z.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Liu, Z

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.140401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.354359Z digest=sha256:dfd1e5d4469e80c136e8e77419c39134349cd788be0d80b06d908715842184bf

Observation 18af0901-44bd-4667-8869-38adf744ea06 · outbound

This paper cites , Izadi, M.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Izadi, M

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.125200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.359119Z digest=sha256:b5617fadcc4469240aa561dc571570270ba49a3e87f44123fd2a5cab6cb918bf

Observation fc92e59e-a0b4-4ef1-a416-d24ae90bea01 · outbound

This paper cites an unresolved cited work.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-06T23:12:01.109838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.363938Z digest=sha256:0b582676eb624ff2273acbc368381e6673c344848c10a8c0f9e043e863943a99

Observation a48d0d36-71f2-4782-9573-8a43ed955323 · outbound

This paper cites , Liu, Z.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Liu, Z

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.094618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.368868Z digest=sha256:14270dfda4df41cd41ee15ef9e3d928a2e518e81c70df62d799ac27bfb3fd890

Observation d83b655b-5952-44d4-9bda-5d356128e369 · outbound

This paper cites , Vidal, R.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Vidal, R

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.078242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.374017Z digest=sha256:ada5fce044d068bdf96ff65b18f975164e2ef666fec59b666da7c91822a82813

Observation 9e98d311-ebb1-4b89-86f5-713a3c31b6e6 · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.379646Z digest=sha256:834e8a87fb5bd58774c7ee91e2bf2ee0cd781a1073a822ba8be1cdfbe5e1f37f

Observation 7ab7b995-8785-4052-8b86-fa509d703a1b · outbound

This paper cites , Wang, Y.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Wang, Y

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.061098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.385697Z digest=sha256:fa0b0a82a1658ec14335f8fe94e807ecb350e9b52e5a438b71f4a5d64a9bfe5f

Observation c34f8833-7136-4d58-9cba-d20826dce79e · outbound

This paper cites , Chen, K.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Chen, K

Reference 17

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no resolver link, observed 2026-08-06T23:12:00.390620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.390620Z digest=sha256:fada0f26f3625b9c5e44f52f53bdb2a28d7222e4054d9ff525ff2323d3d731c4

Observation 0edd4440-e92b-4147-b449-9e9c99535748 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 18

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no resolver link, observed 2026-08-06T23:12:00.396051Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.396051Z digest=sha256:52009bd7cec5deb41c293fae188813ded0ae835bc174fe93246ffb9f23abf06c

Observation bd625107-0fa4-40c8-abb6-34651b1c56e7 · outbound

This paper cites , Dong, C.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Dong, C

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.045362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.401386Z digest=sha256:2adbe6a8321ca6f0b654926b3bc2a1388e163a5ac01bf1af85f4ce5580dd4e70

Observation 38babb4b-4e66-4fcd-b9cb-4be92db84b06 · outbound

This paper cites , Dong, C.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Dong, C

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.029153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.406414Z digest=sha256:b2cd62417b3370fda2dd4cbecd35744cff133fd150ed46648122147107e03c11

Observation 478d1767-13d5-4ab3-886f-a740cdfadc8e · outbound

This paper cites Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.411216Z digest=sha256:1bb884e52609dc1c6ba3438db0de9e62fb67dd4d70541a457be4bbc40f35ef9d

Observation 74861c06-e92d-42cd-8888-712fecefa8cf · outbound

This paper cites , Durrani, M.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Durrani, M

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:01.013608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.417063Z digest=sha256:7db5f60fd3db876761f034734753ae21a596e2230692098eac2c08e897e01b3f

Observation a2917c28-e660-4495-b26f-aea076f16181 · outbound

This paper cites , Guo, J.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Guo, J

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.997464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.422658Z digest=sha256:08a97ba659a8badd8dd6c427ee0a191fde84b4e045ec9154c2ddf3e3fd365af0

Observation bb46a0e9-ce74-46dd-9696-fec24914db53 · outbound

This paper cites , Jiang, K.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Jiang, K

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.981555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.427473Z digest=sha256:10912843599bb5b10fd86ba6cc11135517ee018a7069fd82076c865130e0ae17

Observation 0173fe51-03d6-49db-804d-62d123c4e178 · outbound

This paper cites , Jiang, K.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Jiang, K

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.964168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.432231Z digest=sha256:c89219bf01e0eda6699794be485ebb1107e05b67cc544d829b0aeda2097d89ba

Observation ddbfa56d-1376-410a-8ede-f4f73264ce2a · outbound

This paper cites F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis F$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos

Reference 26

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unresolved
no resolver link, observed 2026-08-06T23:12:00.437572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.437572Z digest=sha256:bfd01b538812d4443a4ef09af43539e35c2dcfeb69a9a66d0c6c7dfdd6893888

Observation 3afa2d97-b9ad-4ac9-88a4-2efa1a60e9a1 · outbound

This paper cites an unresolved cited work.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-06T23:12:00.948044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.442622Z digest=sha256:5bea7c5d3883356b7fff88ab825732a035cdde9a16e8043c1020d5277f42a617

Observation a522cf1a-9feb-4a74-b735-346d818d6dc9 · outbound

This paper cites MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis MIP-GAF: A MLLM-annotated Benchmark for Most Important Person Localization and Group Context Understanding

Reference 28

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verified exact
local_arxiv, observed 2026-08-06T23:12:00.647861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.447518Z digest=sha256:1daf1cf7aea4378aef2622caba5c796baf9885c4d20f2e93d1db0c6976df4c6d

Observation 63997a26-57ae-47ed-b6ae-9b2acbdd77c6 · outbound

This paper cites , Akshulakov, R.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Akshulakov, R

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.932332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.452146Z digest=sha256:a076273d85d05b57a9cef38afde215348da14716d18fdee5c9e13ac26d49191d

Observation 6aff7d0f-5a94-4815-a250-ca21dddefdb0 · outbound

This paper cites Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models

Reference 30

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verified exact
local_arxiv, observed 2026-08-06T23:12:00.622023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.457538Z digest=sha256:ef0ce2542c663fbc87b7de37b6f96ca4a7a1749065a3033d33fc85d855216267

Observation 239843a7-7400-40ee-b8a7-84432f7e2cd8 · outbound

This paper cites , Smaira, L.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Smaira, L

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.916292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.462477Z digest=sha256:55004076e4ee241e5f7997a9f3ab79ababce6252006d576b25b29c88f3b0b509

Observation 453791f2-1e27-4071-bccf-d607aaa29bf5 · outbound

This paper cites APACrefauthors \ 2024.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis APACrefauthors \ 2024

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.901004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.467124Z digest=sha256:8af4b6c92fd70ef99af44a44ea1791ce6129823cfbc66e5768585835c91ab9da

Observation a7ac5710-a595-4bad-9844-eae2c7d40903 · outbound

This paper cites , Kim, J W.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Kim, J W

Reference 33

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no resolver link, observed 2026-08-06T23:12:00.471591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.471591Z digest=sha256:520f758484246b12842dca9338ebfe1a72d2ca3b181adaf7b77eefc7bce8dda3

Observation 0ab99992-cdb6-4ac8-81d3-054af5781bc6 · outbound

This paper cites TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Reference 34

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no resolver link, observed 2026-08-06T23:12:00.476474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.476474Z digest=sha256:7d75494aee821a8732f3c7dae284b41be144a09ecce6644c28bdb1d741b7d29d

Observation ff5ec822-5533-47a3-acff-7d7abc7d8a34 · outbound

This paper cites A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:00.482000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.482000Z digest=sha256:47627b5b8f2a0dc3084138bcb1310e131dd6de1bd7f12262707171bfd0eaf7dd

Observation 5f8e6737-4707-4583-9059-de5e759740c3 · outbound

This paper cites LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:00.487576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.487576Z digest=sha256:259c8d27f18a04e14bfada62b363a4ea16aa0d34c3f24f1042e3fe8b4ae556c5

Observation a36576df-7283-4da1-b39d-76d5ded98380 · outbound

This paper cites an unresolved cited work.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:12:00.872382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.492642Z digest=sha256:46440b829fc6a08375aa6fc0a8c2c1f1b0c1e9598f7fd4bdeaa8c5298a90ef58

Observation 0ddcf4fa-a142-41d0-9ad2-ed3f75dd188d · outbound

This paper cites , Tong, S.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis , Tong, S

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:12:00.854294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.497922Z digest=sha256:9c599139196f6dfd97d3ab5cb2d122fa89b8c7112683fc22dafb356965e62785

Observation 1abf7a01-eead-4b3f-825c-bc4f133ddbf0 · outbound

This paper cites LIME: Less Is More for MLLM Evaluation.

Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis LIME: Less Is More for MLLM Evaluation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:00.502821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.502821Z digest=sha256:62a4f60951d8eb54d84e9b2252bf6779bd42e3515a18e5f7b411051891823d7a

Pith citing papers

No inbound Pith citation observations are available.