Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:39.317873Z
Paper Citation Record · LEDGER
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 6 inbound Pith citation observations for arXiv:2506.21980.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T07:20:54.642591Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T07:24:21.251853Z
Reference resolution
19 of 19 outbound references displayed
- verified exact0
- verified fuzzy12
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6823e212-c87a-4de3-a1f1-22e76dfe2bc0 · outbound
This paper cites High-Speed Tracking with Kernelized Correlation Filters,.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning High-Speed Tracking with Kernelized Correlation Filters,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:42.675512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c45c0873-9cbc-4a79-b63b-aaf71d954722 · outbound
This paper cites ECO: Efficient convolution operators for tracking,.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning ECO: Efficient convolution operators for tracking,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:42.453711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 57d47af3-446f-49c6-877c-a632b49e44f0 · outbound
This paper cites SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks,.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:42.237028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 53265930-aa51-481e-bc98-81a3ed6b4324 · outbound
This paper cites Transformer Tracking.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Transformer Tracking
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:41.943251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1b4712eb-771c-4ffd-bc9e-c3a3335a0d67 · outbound
This paper cites Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:41.631119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 83ac570b-33bb-4a2e-accf-8dd2e9a0d6cc · outbound
This paper cites Language models are few-shot learners.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Language models are few-shot learners
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:41.386405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cd98c7ac-9640-493c-81aa-5218806e30aa · outbound
This paper cites Visual instruction tuning.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Visual instruction tuning
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:41.138987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 853d58cd-65fb-4489-8823-a2d88a1469ae · outbound
This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:37.640165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 875ab6fc-f989-4412-b70f-77e93a694ec5 · outbound
This paper cites Qwen2.5-VL Technical Report.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Qwen2.5-VL Technical Report
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:37.774926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 864aedb7-025c-4cb2-bf8c-257e8fb891f5 · outbound
This paper cites OpenAI o1 System Card.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning OpenAI o1 System Card
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:37.903290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c77dbd7-ed54-4eed-8daa-5368d9bd899a · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:37.995094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04e945a1-948e-4042-a7cb-185f16c8ab5e · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:38.262307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f16a149-0c7f-4882-863e-7d2d678dfb47 · outbound
This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:40.871319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4996425c-bdbd-46de-a7c4-a1825e9501f7 · outbound
This paper cites Proximal Policy Optimization Algorithms.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:38.554959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad34a03a-5146-4ddc-99b5-6d510bcd0bee · outbound
This paper cites EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:40.619093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 59345c50-d6df-423d-8fc6-9aacd2ec5339 · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:18:38.866409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7db56ba5-61e6-441f-9f34-411054e36e64 · outbound
This paper cites Generalized intersection over union: A metric and a loss for bounding box regression.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Generalized intersection over union: A metric and a loss for bounding box regression
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:40.235389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d1baa265-8dab-40a6-b45b-718a038eceb5 · outbound
This paper cites Efficient memory management for large language model serving with pagedattention.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Efficient memory management for large language model serving with pagedattention
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:39.955767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 296d11de-f1c0-4e9c-a13a-759223b5921d · outbound
This paper cites Improved baselines with visual instruction tuning.
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning Improved baselines with visual instruction tuning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:18:39.675939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation e309a90c-410c-462d-abc7-833fe7e97128 · inbound
OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.
OneThinker: All-in-one Reasoning Model for Image and Video R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:11:26.591440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8e3894d-1631-41d6-9596-19a46a6c472c · inbound
Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations cites this paper.
Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:13:22.984143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 089fe88c-1ecb-499f-81a2-338d51b865be · inbound
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding cites this paper.
Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:15:52.937357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 395c07ae-93c3-4105-8e31-77d8e6e840dd · inbound
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval cites this paper.
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:23.050130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e7348589-ec91-488b-b6a9-17f16c6d17a8 · inbound
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval cites this paper.
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:22.673159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 237d682c-c674-4c7a-919d-5a3f979fd039 · inbound
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking cites this paper.
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:24:21.253447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.