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Paper Citation Record · LEDGER

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.15975.

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

pith.paper-citation-record.v1
2308.15975 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:51.599783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:25:18.043949Z

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 66173dfa-2057-4051-b894-c010bdfe4f5c · 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 RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.046009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:c1393453a637d823d20beefafbb2c5c0e0b443cdee560e93bb55da5d007f6a6e

Observation 94b413a0-9ad3-46e6-9a99-aaa76b363d29 · inbound

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation cites this paper.

MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:52.150077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:52.150077Z digest=sha256:880eca2ef7bbcfe4167b31781951b894c1384ad18251496e2637b77cede3b7b5

Observation b265589e-eb93-4577-be2d-191bfae5b007 · inbound

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

Exploring Temporally-Aware Features for Point Tracking RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T17:25:52.995633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:25:52.995633Z digest=sha256:da5429a9ba8e42ccd7d990ebcdae22920bf3a94ec13a5856c75505623b213a23

Observation b3e23f53-4912-495c-85d0-b6de5ab24063 · inbound

Efficient Sensorimotor Learning for Open-world Robot Manipulation cites this paper.

Efficient Sensorimotor Learning for Open-world Robot Manipulation RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:51.599783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:51.599783Z digest=sha256:629476b6ffad0a2a1f686651af424ca322812034ffadf152fd16564cf5fd1cc5

Observation 08c75aba-1f5a-462a-a17e-db6ff134cfbc · inbound

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation cites this paper.

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.628203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.628203Z digest=sha256:7fa3c66b061842213ee795bfb7fe69f3075bbab23c4de91c77b9a91a5e16a462

Observation a8bf833e-cdb5-47fc-98b1-4760e0902da5 · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:28.211687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:28.211687Z digest=sha256:4dd763fbab2a4a3be4e1181ff27bd9f0555510f6e12e4ae7f0212555eecce187

Observation 6dc7c7ce-30d6-4f84-8998-520fd08e5270 · inbound

Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding cites this paper.

Spatial Traces: Enhancing VLA Models with Spatial-Temporal Understanding RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T17:34:25.771689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:34:25.771689Z digest=sha256:67ad342ae6b40c4a20f0a21944b84bd9683783009983f481fb26c3d70f824a0c

Observation d902a5e0-9548-4de4-8f77-831955e6dbe3 · inbound

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos cites this paper.

3PoinTr: 3D Point Tracks for Learning Manipulation from Unconstrained Human Videos RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-15T12:36:50.019492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:36:50.019492Z digest=sha256:0a33649e8a424d88319e5735b1103eb91aa63a28c37bf3b1f2b690a14270f128

Observation b63d2621-c0fe-4b2c-bb9d-17820862376a · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:01:02.548979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:096505b87e346545b8bb694f2cd473818b6f935008a5653aadeec96504a4ad08