Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.14394.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:41:51.223224Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T23:19:13.955803Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 12a73a79-c61e-40de-b61b-f57558c68364 · inbound
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking cites this paper.
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:41:51.223224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea6ac4ea-dbbe-41a4-b173-035dbaa52e44 · inbound
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking cites this paper.
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T01:23:49.468491Z
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 c93821f0-864e-433e-9b50-04a5da34a206 · inbound
Unified Multimodal Visual Tracking with Dual Mixture-of-Experts cites this paper.
Unified Multimodal Visual Tracking with Dual Mixture-of-Experts Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:16:14.285188Z
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 8d913eac-2c92-43d4-9050-98030feedc61 · inbound
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning cites this paper.
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:46:09.381190Z
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 4ce809ce-e2d9-4fb2-ba7a-476e0f3767cd · inbound
RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.
RELO: Reinforcement Learning to Localize for Visual Object Tracking Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 298
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:40:54.655126Z
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 dfd0a463-0d92-41ab-994e-eed2a4d1cc51 · inbound
RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.
RELO: Reinforcement Learning to Localize for Visual Object Tracking Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 299
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:19:13.963556Z
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 76ba6e98-7be7-411c-8f9e-58f44eaa0b10 · inbound
Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking cites this paper.
Models as Tools: An Agentic Coordination Framework for Unified Multimodal Visual Tracking Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:17:05.922548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.