Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:09:18.356984Z
Paper Citation Record · LEDGER
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2411.15600.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:47.941164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:47:30.785940Z
Reference resolution
51 of 51 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c691b2e0-3aa4-4517-b7a8-de1014d9f763 · outbound
This paper cites Human mem- ory: A proposed system and its control processes.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Human mem- ory: A proposed system and its control processes
Reference 1
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Source-reported events for the cited work
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Observation 881e888d-1078-449b-9ad5-994789e07879 · outbound
This paper cites Hiptrack: Visual tracking with historical prompts.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Hiptrack: Visual tracking with historical prompts
Reference 2
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Observation 8a57c619-3fd1-4110-a336-57db4580f668 · outbound
This paper cites Lasot: A high-quality benchmark for large-scale single ob- ject tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Lasot: A high-quality benchmark for large-scale single ob- ject tracking
Reference 3
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Observation 96076bb1-e19d-486c-a9a0-8fc314c3fd77 · outbound
This paper cites Lasot: A high-quality large-scale single object tracking benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Lasot: A high-quality large-scale single object tracking benchmark
Reference 4
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Observation f2e1bfc6-d475-4fee-8d92-ffb21e0fc335 · outbound
This paper cites The ther- mal infrared visual object tracking vot-tir2015 challenge re- sults.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The ther- mal infrared visual object tracking vot-tir2015 challenge re- sults
Reference 5
- Resolution
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Observation 3c47da88-d533-4e27-904e-94fd2c4cdf3f · outbound
This paper cites Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
Reference 6
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Observation 7ee7f2b0-718e-4e4a-9776-e6151e02ab5b · outbound
This paper cites Real-time visual object tracking with natural lan- guage description.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Real-time visual object tracking with natural lan- guage description
Reference 7
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Observation 44c9f2af-045c-42fa-8a7a-70f844a7e963 · outbound
This paper cites Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Siamese natural language tracker: Tracking by natural lan- guage descriptions with siamese trackers
Reference 8
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Observation b761f02c-1fd9-4117-bd35-8f0467b15c93 · outbound
This paper cites MemVLT: Vision-language tracking with adaptive memory- based prompts.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking MemVLT: Vision-language tracking with adaptive memory- based prompts
Reference 9
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Observation a56339be-e9c9-4f14-b7fe-fbf118c2f054 · outbound
This paper cites Consistencies are all you need for semi-supervised vision-language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Consistencies are all you need for semi-supervised vision-language tracking
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation 782e3fdb-7f13-423c-98a4-8e531c289e26 · outbound
This paper cites Divert more attention to vision-language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Divert more attention to vision-language tracking
Reference 11
- Resolution
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Observation a18ba0f9-cb3e-4228-ab3f-d09fe06e99c9 · outbound
This paper cites Divert more attention to vision-language object tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Divert more attention to vision-language object tracking
Reference 12
- Resolution
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Observation d4ad2f17-3e36-4606-80ac-d8429d77aba6 · outbound
This paper cites Global instance tracking: Locating target more like humans.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Global instance tracking: Locating target more like humans
Reference 13
- Resolution
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Observation 2d5bd364-cf7e-4c6d-b4c7-e54bbbe5e165 · outbound
This paper cites A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking A multi-modal global instance tracking benchmark (mgit): Better locating target in complex spatio-temporal and causal relationship
Reference 14
- Resolution
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Observation e0ff01a6-a8e9-44e1-b151-b84c0f8c54c9 · outbound
This paper cites Sotverse: A user- defined task space of single object tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Sotverse: A user- defined task space of single object tracking
Reference 15
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Observation c4eaebec-61c2-4c42-8e2e-a301cc81fb6e · outbound
This paper cites Rtracker: Recoverable track- ing via pn tree structured memory.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Rtracker: Recoverable track- ing via pn tree structured memory
Reference 16
- Resolution
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Observation 0774f916-c945-4e4c-b88a-91f50ef30465 · outbound
This paper cites The sixth visual object tracking vot2018 challenge results.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The sixth visual object tracking vot2018 challenge results
Reference 17
- Resolution
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Observation 88220d66-de46-4b7d-9aad-ee7477ba4a0a · outbound
This paper cites The seventh visual object tracking vot2019 chal- lenge results.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The seventh visual object tracking vot2019 chal- lenge results
Reference 18
- Resolution
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Observation 84d66b3c-cf7b-4fa4-98ab-c437e0f9aa11 · outbound
This paper cites The eighth visual object tracking vot2020 chal- lenge results.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The eighth visual object tracking vot2020 chal- lenge results
Reference 19
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Observation 3a1abc17-5ecc-43e2-aa9f-75e330ec33e5 · outbound
This paper cites The ninth visual object tracking vot2021 challenge results.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The ninth visual object tracking vot2021 challenge results
Reference 20
- Resolution
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Observation ef392102-65b6-4b4d-a993-46fd01ac911b · outbound
This paper cites The tenth visual object tracking vot2022 challenge re- sults.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The tenth visual object tracking vot2022 challenge re- sults
Reference 21
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Observation 65bd778c-f33d-452d-8017-040820f4a3a6 · outbound
This paper cites Dtllm-vlt: Diverse text generation for visual language tracking based on llm.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Dtllm-vlt: Diverse text generation for visual language tracking based on llm
Reference 22
- Resolution
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Observation 4ad675ef-d0f0-4044-92b5-2b720b9f1a7d · outbound
This paper cites DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM
Reference 23
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Source-reported events for the cited work
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Observation e2a7c7a5-3c78-46fd-a66b-35eae532892d · outbound
This paper cites Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark
Reference 24
- Resolution
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Observation eab50161-26c0-48e1-9d5e-8b3e2f4140b1 · outbound
This paper cites Cross- modal target retrieval for tracking by natural language.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Cross- modal target retrieval for tracking by natural language
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation ede48084-bcb6-4c20-8c4b-64a06640b73b · outbound
This paper cites Tracking by natural language specification.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Tracking by natural language specification
Reference 26
- Resolution
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Observation 78a3cc78-8dba-4446-b3ca-29f268e31bd9 · outbound
This paper cites Unifying visual and vision-language tracking via contrastive learning.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Unifying visual and vision-language tracking via contrastive learning
Reference 27
- Resolution
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Observation d04315e0-37e9-4afe-8d2f-43569950c657 · outbound
This paper cites Human memory.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Human memory
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation b4dba66c-1329-47fb-837d-e88ee4fecaa8 · outbound
This paper cites The visual object track- ing vot2016 challenge results.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking The visual object track- ing vot2016 challenge results
Reference 29
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Observation 3ead83b6-0b82-4cca-8684-2b92c2bcecbb · outbound
This paper cites Context-aware integration of lan- guage and visual references for natural language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Context-aware integration of lan- guage and visual references for natural language tracking
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 1fe940d1-a924-4644-b23f-b21af2d2134f · outbound
This paper cites Explicit visual prompts for visual object tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Explicit visual prompts for visual object tracking
Reference 31
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Observation 8c0b6c44-f2b2-4804-b90b-51dc991611d1 · outbound
This paper cites Auditory sensory (”echoic”) memory dysfunction in schizophrenia.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Auditory sensory (”echoic”) memory dysfunction in schizophrenia
Reference 32
- Resolution
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Observation 5ad3aaec-2001-450f-905c-ef1547a5e252 · outbound
This paper cites ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
Reference 33
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This paper cites Elysium: Exploring object-level perception in videos via mllm.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Elysium: Exploring object-level perception in videos via mllm
Reference 34
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Observation db3ba621-7ef0-48be-880f-55a6fcd7fb8f · outbound
This paper cites Semtrack: A large-scale dataset for semantic tracking in the wild.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Semtrack: A large-scale dataset for semantic tracking in the wild
Reference 35
- Resolution
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Observation f9e12642-b43f-41b8-bc4f-da8173b7627e · outbound
This paper cites Unified transformer with isomorphic branches for natural language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Unified transformer with isomorphic branches for natural language tracking
Reference 36
- Resolution
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Observation 4c3a89d1-ed08-496e-be7b-26df92b80bdf · outbound
This paper cites Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking
Reference 37
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Observation 95ea0b52-9fde-4404-a1b7-7259aa545944 · outbound
This paper cites Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Towards more flexible and accurate object tracking with natural language: Algo- rithms and benchmark
Reference 38
- Resolution
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This paper cites Online object tracking: A benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Online object tracking: A benchmark
Reference 39
- Resolution
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Observation dd0a1bfa-3699-45c7-b46c-3a67baf380de · outbound
This paper cites Object track- ing benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Object track- ing benchmark
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation 932c0727-fa98-42a7-8928-56e91a12cc20 · outbound
This paper cites Autore- gressive queries for adaptive tracking with spatio-temporal transformers.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Autore- gressive queries for adaptive tracking with spatio-temporal transformers
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 203c9a77-e2b8-470d-be58-cf95dadd2df7 · outbound
This paper cites Grounding-tracking-integration.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Grounding-tracking-integration
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation 0e63a94b-20e4-4cb8-be81-4617b937366e · outbound
This paper cites Webuav- 3m: A benchmark for unveiling the power of million-scale deep uav tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Webuav- 3m: A benchmark for unveiling the power of million-scale deep uav tracking
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation fadae9dd-0be5-411a-94d4-406e88d3823a · outbound
This paper cites Underwater Camouflaged Object Tracking Meets Vision-Language SAM2.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 321d7609-2b05-4dc8-910f-3087262260bf · outbound
This paper cites WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f272e89d-847a-428a-aaf2-23a903f1fd8c · outbound
This paper cites One-stream stepwise decreas- ing for vision-language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking One-stream stepwise decreas- ing for vision-language tracking
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.592456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0bd97540-232a-47df-a677-5d2e0d843ae6 · outbound
This paper cites One-stream vision-language memory network for object tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking One-stream vision-language memory network for object tracking
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.575460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0b10906b-48cd-4c07-9e97-30d1c1fd858d · outbound
This paper cites Transformer vision-language tracking via proxy token guided cross-modal fusion.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Transformer vision-language tracking via proxy token guided cross-modal fusion
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.558743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a4a8d23-6730-4448-af42-86aa5cfd59a4 · outbound
This paper cites Towards unified token learn- ing for vision-language tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Towards unified token learn- ing for vision-language tracking
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.542702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f05b2deb-bb77-45d7-b166-5feaa4c7c507 · outbound
This paper cites Odtrack: Online dense temporal token learning for visual tracking.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Odtrack: Online dense temporal token learning for visual tracking
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.526689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 047e5346-a73f-4ae6-b1fe-3a345f869610 · outbound
This paper cites Joint vi- sual grounding and tracking with natural language specifica- tion.
How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking Joint vi- sual grounding and tracking with natural language specifica- tion
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:09:18.511244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation f9b351c5-372e-4071-9993-8bc2101de048 · inbound
Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues cites this paper.
Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c0f1374-5f44-4ad5-bdbc-4b0802bdb424 · inbound
DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking cites this paper.
DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6b60fe2-130c-4dd0-8cfb-129f4d97ab6f · inbound
ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking cites this paper.
ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:00:25.272754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 411cef07-8af4-4362-95f6-05eddc97d6ed · inbound
Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating cites this paper.
Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:47:30.788092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.