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Paper Citation Record · LEDGER

BootsTAP: Bootstrapped Training for Tracking-Any-Point

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.00847.

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

pith.paper-citation-record.v1
2402.00847 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:04.979094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.505966Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 3c6b50c2-f0cf-4dee-814b-dc8d697f94d2 · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.117226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:26a3a9e0ddb725b64bb9edac3b2b4f6f568cffa34c7a06ee944ce351bf448a0d

Observation c3296676-0b29-49fd-851d-9668b305ccaf · inbound

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation cites this paper.

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:17:01.380972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T12:17:01.294466Z digest=sha256:cff25acbce32b325d9e2a13066b894c476140450a11853d3290437a0d2e424d0

Observation 20c2f11f-13c0-4b62-a795-18d7a900ac78 · inbound

Motion Prompting: Controlling Video Generation with Motion Trajectories cites this paper.

Motion Prompting: Controlling Video Generation with Motion Trajectories BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:09.545300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:09.545300Z digest=sha256:2a5f40b6b8e340c9ae3ddd88e0cc2d68115b63a1d7302affde596058d8191f51

Observation 3fc2073c-4ab2-4fc5-9ef5-560a088e64db · inbound

PEMF-VTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm cites this paper.

PEMF-VTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T22:56:27.022395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:56:27.022395Z digest=sha256:843d27e723d67e8a1ddd711a39c1a3aa23b99d14efcfd2ef5f9bee701fac68e3

Observation 40dfe0f9-1892-4864-8d91-152c1cd58b89 · inbound

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation cites this paper.

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T20:10:47.422117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:10:47.422117Z digest=sha256:952352c4f1ec027c4ba85a6a092ffcf5f5ae2a06900e89e313af276e77cac438

Observation 823de783-e178-4460-acb5-08ab3189a3d6 · inbound

Exploring Temporally-Aware Features for Point Tracking cites this paper.

Exploring Temporally-Aware Features for Point Tracking BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T17:25:52.857424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:25:52.857424Z digest=sha256:ae68d6888bceaf46c15b9f5cfcca674ed1811f6a968574096498b7104f7da9d1

Observation 4c76f0d9-cbb9-4ab1-b559-d32d3abfd1c3 · inbound

Learning segmentation from point trajectories cites this paper.

Learning segmentation from point trajectories BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T17:16:52.655495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:16:52.655495Z digest=sha256:14c6ec6c2803723b5d9b4a70378180ff8e1290e744f989e362b5c657cff82876

Observation dce869fc-d6de-491b-8aca-0ffd17ef0bc5 · inbound

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity cites this paper.

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:04.979094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:04.979094Z digest=sha256:a1fda71c16fe6bfaa8e8239ebf9510727c76a2f1d390ec097cc3cd1a6fbe3174

Observation 76ce2332-5b98-40f1-860f-3116ddcb1147 · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:37:07.329639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T06:36:13.144868Z digest=sha256:3e8b655f7af6fe63d7a2b197fb83b337514633ac94898f7814af2855db30a2fc

Observation 7bd57a5f-7ba5-4ce8-9655-ec8aec976938 · inbound

DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion cites this paper.

DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T04:41:51.612220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:41:51.612220Z digest=sha256:805900c91036b66db589c371a3897384c2677ad25154a8d31a7610fbf53a945e

Observation aeb3cbe1-bb48-4cc0-beab-48edb0dfd092 · inbound

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction cites this paper.

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:09:14.770606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T21:27:47.702578Z digest=sha256:00131d481fa5505ffa0754f68d1db03c531ae111c2463beb8ce945d431b70ae9

Observation e5f5c4cf-0253-4ef2-907a-85e91a52f03b · inbound

Do as I Do: Dexterous Manipulation Data from Everyday Human Videos cites this paper.

Do as I Do: Dexterous Manipulation Data from Everyday Human Videos BootsTAP: Bootstrapped Training for Tracking-Any-Point

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:59:19.510279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T20:51:21.209882Z digest=sha256:696f915081647eee313e36f4f586c815fc5b4c308a0ef80a5d7e27855914b55e