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Paper Citation Record · LEDGER

Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04877.

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

pith.paper-citation-record.v1
2503.04877 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:49:23.518673Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cbb87a32-d304-4b01-a413-6356c4232eeb · inbound

DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization cites this paper.

DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T19:49:23.518673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:49:23.518673Z digest=sha256:aa10785d5ce1e5dded78b5863725a4acfb7d123d30bf91164df2bc98cfdccc72

Observation bb851a42-1042-427b-8f57-b5f342317b5d · inbound

Fourier Features Let Agents Learn High Precision Policies with Imitation Learning cites this paper.

Fourier Features Let Agents Learn High Precision Policies with Imitation Learning Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T10:50:51.485504Z

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.

source=arxiv_source observed=2026-06-27T10:42:50.638059Z digest=sha256:1c75b3a66798634d391f83526fa4b712db8725d4929b7d90999a6c54aeaaf929

Observation 66b81077-a25f-460a-bdb5-2344d8c51bc0 · inbound

Geometric Action Model for Robot Policy Learning cites this paper.

Geometric Action Model for Robot Policy Learning Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.861089Z

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.

source=pdf_text observed=2026-06-27T03:59:17.983035Z digest=sha256:878a9fdb519c4dfa5335b2abf3382d55708a00bcbac2aeadf2033c82a0ae0c22

Observation e18378a3-a438-44cf-b3c9-77144202ec02 · inbound

Learning 3D Affordances for Blade Insertion in Cluttered Stowing cites this paper.

Learning 3D Affordances for Blade Insertion in Cluttered Stowing Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T11:41:59.158887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:41:59.158887Z digest=sha256:7353b38dd7caf92600573d8959db3204438661af8ecfbef9fbd5b4e3b57947e8