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Paper Citation Record · LEDGER

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:46.628203Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:c4ea700465d6f7d931593f5d4e4fb1f6b0b94be0d676c66e030e23b7af48aaaf

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=sha256:9357758a3f799a76882bb13ffbe11606bed82998df521533de9cd23d78e28662

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:bf8cbc0072c179b8810e098824f905fbad282825d9f61d3cdd76c98711aa4884

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=sha256:152ff4ab611d5d1460689759413c7ca8f67caa89ad7db540c8b4f546decf2f58

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:4722e7416d9f401be19962d285cb754daa773bd1ebf505af87ea80e268a75d13