Paper Citation Record · LEDGER

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

As of 10 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.

pith.paper-citation-record.v1
2506.21980 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:18:39.317873Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:20:54.642591Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.