Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:16.791596Z
Paper Citation Record · LEDGER
Domain Adaptation of VLM for Soccer Video Understanding
As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.13860.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved10
- parse uncertain1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9beeeae2-54db-4532-b015-0e8d46aeac8f · outbound
This paper cites Claude 3.5 sonnet: Our best model yet,.
Domain Adaptation of VLM for Soccer Video Understanding Claude 3.5 sonnet: Our best model yet,
Reference 1
- Resolution
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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.
Observation a79133e7-3081-4dd6-b1ab-b20c286532e9 · outbound
This paper cites MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens.
Domain Adaptation of VLM for Soccer Video Understanding MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6aee8ba-e7d1-444e-87d7-bd7d0a56d8a0 · outbound
This paper cites An Introduction to Vision-Language Modeling.
Domain Adaptation of VLM for Soccer Video Understanding An Introduction to Vision-Language Modeling
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f3c502f-5eee-4485-9cc3-a292443794fa · outbound
This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.
Domain Adaptation of VLM for Soccer Video Understanding RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 6d2e9682-404e-4cc0-a359-8aa7d9ff51b4 · outbound
This paper cites Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation a466e25a-479c-4a46-a3a4-ef9759b38bd5 · outbound
This paper cites Soccernet- v2: A dataset and benchmarks for holistic under- standing of broadcast soccer videos.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet- v2: A dataset and benchmarks for holistic under- standing of broadcast soccer videos
Reference 6
- Resolution
- verified fuzzy
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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.
Observation ffa40242-5515-4de4-b52c-fb5a00dca55c · outbound
This paper cites Soccernet- v2: A dataset and benchmarks for holistic under- standing of broadcast soccer videos.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet- v2: A dataset and benchmarks for holistic under- standing of broadcast soccer videos
Reference 7
- Resolution
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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.
Observation d1175e54-adc5-4c04-a51c-796700b18d7e · outbound
This paper cites Mmbench-video: A long-form multi-shot bench- mark for holistic video understanding.
Domain Adaptation of VLM for Soccer Video Understanding Mmbench-video: A long-form multi-shot bench- mark for holistic video understanding
Reference 8
- Resolution
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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.
Observation 757d4228-ba92-4c9b-9f61-164983b90624 · outbound
This paper cites Soccernet- echoes: A soccer game audio commentary dataset.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet- echoes: A soccer game audio commentary dataset
Reference 9
- Resolution
- verified fuzzy
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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.
Observation 46bcd736-1893-41c4-ada6-11086348fca7 · outbound
This paper cites Soccernet: A scal- able dataset for action spotting in soccer videos.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet: A scal- able dataset for action spotting in soccer videos
Reference 10
- Resolution
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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.
Observation e656c400-8a5c-4697-8dca-129d52a5711b · outbound
This paper cites Fine- grained action recognition on a novel basketball dataset.
Domain Adaptation of VLM for Soccer Video Understanding Fine- grained action recognition on a novel basketball dataset
Reference 11
- Resolution
- verified fuzzy
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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.
Observation 895f31fa-1f6a-4bb9-9ff6-4b44108dd8cb · outbound
This paper cites V ars: Video assistant referee sys- tem for automated soccer decision making from multiple views.
Domain Adaptation of VLM for Soccer Video Understanding V ars: Video assistant referee sys- tem for automated soccer decision making from multiple views
Reference 12
- Resolution
- verified fuzzy
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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.
Observation 63d296d0-fa26-4348-9bac-ca4b7580fc7f · outbound
This paper cites X-vars: Introducing explainability in foot- ball refereeing with multi-modal large language 9 models.
Domain Adaptation of VLM for Soccer Video Understanding X-vars: Introducing explainability in foot- ball refereeing with multi-modal large language 9 models
Reference 13
- Resolution
- verified fuzzy
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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.
Observation 8fd5e0aa-a4bd-47f5-88b7-cff797dc110d · outbound
This paper cites LoRA: Low-rank adaptation of large language models.
Domain Adaptation of VLM for Soccer Video Understanding LoRA: Low-rank adaptation of large language models
Reference 14
- Resolution
- verified fuzzy
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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.
Observation f058eff5-c6d4-46c4-bc15-17cab4fb388f · outbound
This paper cites Vtimellm: Empower llm to grasp video moments.
Domain Adaptation of VLM for Soccer Video Understanding Vtimellm: Empower llm to grasp video moments
Reference 15
- Resolution
- verified fuzzy
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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.
Observation 14299915-6d3b-47e4-95a7-57bbee4cd1c0 · outbound
This paper cites Wyscout: Football data and analytics plat- form, 2024.
Domain Adaptation of VLM for Soccer Video Understanding Wyscout: Football data and analytics plat- form, 2024
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 8fe5d139-5613-4cfe-acf1-e50166895364 · outbound
This paper cites Quantifying the hierarchical scales of scientists'mobility.
Domain Adaptation of VLM for Soccer Video Understanding Quantifying the hierarchical scales of scientists'mobility
Reference 17
- Resolution
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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.
Observation d4e751e3-8eab-43d7-990b-5562ede86dbf · outbound
This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.
Domain Adaptation of VLM for Soccer Video Understanding Llava-med: Training a large language-and-vision assistant for biomedicine in one day
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation a8b6a607-722d-4ff6-af52-d1e5739be2e7 · outbound
This paper cites Sports-qa: A large-scale video ques- tion answering benchmark for complex and pro- fessional sports.
Domain Adaptation of VLM for Soccer Video Understanding Sports-qa: A large-scale video ques- tion answering benchmark for complex and pro- fessional sports
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19adbdab-f186-4153-86e6-6b6d2454d6ae · outbound
This paper cites BLIP-2: Bootstrapping language-image pre- training with frozen image encoders and large lan- guage models.
Domain Adaptation of VLM for Soccer Video Understanding BLIP-2: Bootstrapping language-image pre- training with frozen image encoders and large lan- guage models
Reference 20
- Resolution
- verified fuzzy
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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.
Observation 2aa25aa6-a1ba-4d85-a56b-21536547c10a · outbound
This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.
Domain Adaptation of VLM for Soccer Video Understanding VisualBERT: A Simple and Performant Baseline for Vision and Language
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e950316-41db-41f2-abfc-dae8e1204151 · outbound
This paper cites Chain-of-region: Visual language models need details for diagram analysis.
Domain Adaptation of VLM for Soccer Video Understanding Chain-of-region: Visual language models need details for diagram analysis
Reference 22
- Resolution
- verified fuzzy
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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.
Observation f8884262-657a-4ccc-b08e-7c1cd9e41d68 · outbound
This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.
Domain Adaptation of VLM for Soccer Video Understanding Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abadc824-4261-438f-959a-551794d6132c · outbound
This paper cites Vila: On pre- training for visual language models.
Domain Adaptation of VLM for Soccer Video Understanding Vila: On pre- training for visual language models
Reference 24
- Resolution
- verified fuzzy
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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.
Observation 62dcb978-69ef-453e-aef2-1ae79c680529 · outbound
This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, 2024.
Domain Adaptation of VLM for Soccer Video Understanding Llava-next: Improved reasoning, ocr, and world knowledge, 2024
Reference 25
- Resolution
- verified fuzzy
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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.
Observation 2c375a8c-2bc6-4001-9274-f209c5c26c4a · outbound
This paper cites Vilbert: Pretraining task-agnostic visiolin- guistic representations for vision-and-language tasks.
Domain Adaptation of VLM for Soccer Video Understanding Vilbert: Pretraining task-agnostic visiolin- guistic representations for vision-and-language tasks
Reference 26
- Resolution
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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.
Observation e8c114dd-c1a2-448a-afa3-e02652505516 · outbound
This paper cites Video-chatgpt: Towards detailed video understanding via large vi- sion and language models.
Domain Adaptation of VLM for Soccer Video Understanding Video-chatgpt: Towards detailed video understanding via large vi- sion and language models
Reference 27
- Resolution
- verified fuzzy
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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.
Observation bf9fe0f6-1560-45e8-b385-2959bca26098 · outbound
This paper cites Soccernet-caption: Dense video caption- ing for soccer broadcasts commentaries.
Domain Adaptation of VLM for Soccer Video Understanding Soccernet-caption: Dense video caption- ing for soccer broadcasts commentaries
Reference 28
- Resolution
- verified fuzzy
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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.
Observation c76b2762-9fd5-496b-bc95-ad4e76a483f9 · outbound
This paper cites Med-flamingo: a multimodal medical few-shot learner.
Domain Adaptation of VLM for Soccer Video Understanding Med-flamingo: a multimodal medical few-shot learner
Reference 29
- Resolution
- verified fuzzy
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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.
Observation 2595de97-26d0-4f5e-991b-3a2fb6d7e79b · outbound
This paper cites Sports video captioning via attentive mo- tion representation and group relationship model- ing.
Domain Adaptation of VLM for Soccer Video Understanding Sports video captioning via attentive mo- tion representation and group relationship model- ing
Reference 30
- Resolution
- verified fuzzy
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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.
Observation 8aa6558e-5230-433b-842f-0f1b39bd65c7 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Domain Adaptation of VLM for Soccer Video Understanding Learning transferable visual models from natural language supervision
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e399b24e-c142-4b2d-a118-44307ab4719a · outbound
This paper cites Matchtime: Towards au- tomatic soccer game commentary generation.
Domain Adaptation of VLM for Soccer Video Understanding Matchtime: Towards au- tomatic soccer game commentary generation
Reference 32
- Resolution
- verified fuzzy
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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.
Observation 87ebcc53-3fa0-4f62-9145-637873a6aef1 · outbound
This paper cites Multilingual vision-language pre-training for the remote sensing domain.
Domain Adaptation of VLM for Soccer Video Understanding Multilingual vision-language pre-training for the remote sensing domain
Reference 33
- Resolution
- verified fuzzy
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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.
Observation 8a7a7515-572d-4359-9680-2033792993d8 · outbound
This paper cites Computer vi- sion for sports: Current applications and research topics.
Domain Adaptation of VLM for Soccer Video Understanding Computer vi- sion for sports: Current applications and research topics
Reference 34
- Resolution
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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.
Observation f375522b-fdcf-4b1d-9ca8-7d01ea1897c0 · outbound
This paper cites Semi-supervised training to improve player and ball detection in soccer.
Domain Adaptation of VLM for Soccer Video Understanding Semi-supervised training to improve player and ball detection in soccer
Reference 35
- Resolution
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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.
Observation 38235bfa-79fd-48f5-b046-42b0719e252b · outbound
This paper cites Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark.
Domain Adaptation of VLM for Soccer Video Understanding Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa424fce-20e2-4778-b215-4bafeec169e0 · outbound
This paper cites Sportqa: A benchmark for sports under- standing in large language models.
Domain Adaptation of VLM for Soccer Video Understanding Sportqa: A benchmark for sports under- standing in large language models
Reference 37
- Resolution
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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.
Observation 214228e1-bdf0-4ff2-b81b-89415bee76f8 · outbound
This paper cites Fine- grained video captioning for sports narrative.
Domain Adaptation of VLM for Soccer Video Understanding Fine- grained video captioning for sports narrative
Reference 38
- Resolution
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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.
Observation 57d4240b-068b-4eae-a248-8959c4a6e395 · outbound
This paper cites Merlot: Multimodal neural script knowledge models.
Domain Adaptation of VLM for Soccer Video Understanding Merlot: Multimodal neural script knowledge models
Reference 39
- Resolution
- verified fuzzy
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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.
Observation 8f519505-f4dd-4a95-a329-dffe27421246 · outbound
This paper cites Video- llama: An instruction-tuned audio-visual language model for video understanding.
Domain Adaptation of VLM for Soccer Video Understanding Video- llama: An instruction-tuned audio-visual language model for video understanding
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:13:17.266310Z
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.
Observation e3ef2d32-f2ef-492b-b66f-bb221bd539e6 · outbound
This paper cites Llava-next: A strong zero-shot video understanding model, 2024.
Domain Adaptation of VLM for Soccer Video Understanding Llava-next: A strong zero-shot video understanding model, 2024
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:13:17.240594Z
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.
Observation 69eaf598-9fb5-4281-849a-488602ec782a · outbound
This paper cites Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection.
Domain Adaptation of VLM for Soccer Video Understanding Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a997ea6-3cef-4f06-8d83-f5bd34a8de9f · outbound
This paper cites an unresolved cited work.
Domain Adaptation of VLM for Soccer Video Understanding Unresolved cited work
Reference 44
- Resolution
- unresolved
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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.
Observation e5e475ba-101b-4999-adea-015722aaaa15 · outbound
This paper cites Dimension.
Domain Adaptation of VLM for Soccer Video Understanding Dimension
Reference 45
- Resolution
- verified fuzzy
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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.
Observation 5a6c6a42-64f5-48ec-96ac-aa4745fe7dd2 · outbound
This paper cites Given this, we only opted for Rank 64 when scaling up trainin g to the 20k datasets, as it provides greater capacity for handling complex patterns.
Domain Adaptation of VLM for Soccer Video Understanding Given this, we only opted for Rank 64 when scaling up trainin g to the 20k datasets, as it provides greater capacity for handling complex patterns
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:13:17.169882Z
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.
Observation 96fc7ccc-8e83-4a1f-a7b2-446cc38166e7 · outbound
This paper cites an unresolved cited work.
Domain Adaptation of VLM for Soccer Video Understanding Unresolved cited work
Reference 2024
- Resolution
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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.
Pith citing papers
No inbound Pith citation observations are available.