Paper Citation Record · LEDGER

Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1811.10014.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1811.10014 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:00:25.417726Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T08:49:42.633474Z

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 e7fc4517-5a69-41de-8efa-3d6f552063e7 · inbound

Learning Target-oriented Dual Attention for Robust RGB-T Tracking cites this paper.

Learning Target-oriented Dual Attention for Robust RGB-T Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:55.812341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c3a89d1-ed08-496e-be7b-26df92b80bdf · inbound

How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T14:09:18.288190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9560beba-56ea-42d6-9f95-9808deaafd35 · 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 Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.417726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c876eed-a074-4157-a5c6-e90ecab865a9 · inbound

4DVLT: Dynamic Scene Understanding with Worldline-Centered Vision-Language Tracking cites this paper.

4DVLT: Dynamic Scene Understanding with Worldline-Centered Vision-Language Tracking Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:49:42.635485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20d3570b-28d6-4b44-9131-ef3c86870e92 · 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 Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:24:21.276420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.