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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 23 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 2026-08-22T06:32:14.747728+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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.302406Z digest=sha256:47afca1d40ffd2cc65220a0106d3b7bebb913ac49e9d4d292bcf26ea64178a82

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.308522Z digest=sha256:61dbb17c701013396421e938d0fd5012ac8074f45d00ce75536ebffd62b68b29

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.313689Z digest=sha256:6f5eeb7ada14e2b3183c2771f0701b576c8b3a0661b09b2186c914491b752c3e

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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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=sha256:592543c010c3381a2bef1d4962b49aa01b662822b3402240b994649cd04535b0

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.326751Z digest=sha256:96859cadb4d609b85db2896f9b9caa63c263fc420e1e1e984f08675f1b36bc53

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.332969Z digest=sha256:e2f6f518d49204321c09b70051c909f884168b1adca22813a66d14f145897a50

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:ab0878aaa381f32341cd69df8e399f10fb8eea4f9f3d38448ea24eea8a41a9bf

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.344248Z digest=sha256:42f80af9af85578a27f39d0af68795e38604683b672821f709f8946eeb4d3d50

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=sha256:5c1c8b109d1808683a3c93b876c2a30890cb3f56bb9fa53b928fc6ec7de66400

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.354359Z digest=sha256:e0213f02e2123a4f3de195aed2282c593b2cbe8a772a64a86d2f5c279f64424e

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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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.359119Z digest=sha256:7be8157235b799a280a8fe4a8aa0b099e2a8bef6dc82be7753a44f61e01d2f95

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.363938Z digest=sha256:dbbdc29621155549459753504a76b48c8b6050e1514a6a44e14ff01e7736ab26

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.368868Z digest=sha256:63640f4999cf86ea81cf8c9803f544dca824dd207985e7aa4a06cc27543bab6a

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.374017Z digest=sha256:ceec1bd2e2eaa1189e9d00ada23002b0c528df23dac26819c162f25396ff1059

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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no resolver link, observed 2026-08-06T23:12:00.379646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:00.379646Z digest=sha256:43241274ea4b741a46fdcdf1ce2623d7c6c4296af2cea353e3bd82d96e92952d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.385697Z digest=sha256:65467724230c5ef8e5af0b45855169d7ea00d3d886bfe11a203e15389cafe117

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:b6910d4cdfc980af27cb20386f02d0ad56039511b112e04f6c3c381e1b95c275

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T23:12:00.396051Z digest=sha256:518798d7790b29e0b1f246564d759bab80fdf85ba7ad951b6c428f5806c37b13

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.401386Z digest=sha256:e89cb524c289336939e3316acb2a1f36ac566bfce640e5e4e8fbc01252aaeb26

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.406414Z digest=sha256:9af8429343f46f47ca308bf76d95ef1e02ca1950bb8b5ad1ef13ae79777cde9f

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=sha256:0b2e11c2108c8dbf7f9db984673e3042410a068dae2c46de438bae21ada3b51e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.417063Z digest=sha256:70d55a8b084d684b4d7caa9bf28e1bda1357e7b8cf03542289df129ec87c14f1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.422658Z digest=sha256:98f23babef108c13ee7bbe00a8bdb1ce3134d7488993d1dc894d64c7e3dc6df4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.427473Z digest=sha256:b75a982ecd460c1ad659231be7b9f9f8f138cba518b833e697320c822c41bab8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.432231Z digest=sha256:35e2d036b69e4af85056745370498d6bea37c0ec3f5500337e2080401d52cd32

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=sha256:5706e331a86bc64993920abf263669aa42d0cca030c97e50037b2382ef3bd922

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.442622Z digest=sha256:5172dc803db76fcfb25cfc957021790e1c5980ce373d03a4a8fbe0fdbcba43f4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.447518Z digest=sha256:4a59da8ca526367396cf32baabf2970850a0588390a0def31987c88d1203070a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.452146Z digest=sha256:3df673507489ef121b79e687e0c97bad5b1a9b9281d4e64a632074c94ae3daaa

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.457538Z digest=sha256:e091b4324c06e052343ae202987f77a41dd69bb95bb6201c8db45560f099ab02

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.462477Z digest=sha256:c2091bc5f7e5705d5f6ae52cca595cc909e200c3d95bb7912fa55aadec861953

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.467124Z digest=sha256:355cf321b29f4bab7b044e6484854b5b9a05f00ba7257429812388a9b8a9fbd4

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=sha256:350e5318796d1c7920ca2ef787166c54dd3f85ec7076e9b409fa7090b581d9f9

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:bded9119ddb1fc5296e69b3621f9026353397f60dc7af8e78a61c303c33e0b72

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=sha256:897b601aaf1729edcfdce861062fb46873450b125b500ea68c770b52f711f3c1

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=sha256:0aa58f4557a734376b1627c333ff89543892b1d3cee78d1eb4ed4e17df42cc3e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.492642Z digest=sha256:40d04f036ad2bc4fc134327791908d68c7868e74582f8511f099c3aa51d099e0

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T23:12:00.497922Z digest=sha256:452818ca0f33e1db7444f2020bb9243dd361ef5c0454f9b6fc7cb22090bc4d47

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=sha256:9017c4bb44b80268fb0eee0b6e964b0716eaea84008c0a58f8de5031f3636b67

Pith citing papers

No inbound Pith citation observations are available.