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Paper Citation Record · LEDGER

Robust Visual Imitation Learning with Inverse Dynamics Representations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.14274.

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

pith.paper-citation-record.v1
2310.14274 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:42.994637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:56:26.211804Z

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 cd8ae19d-009c-4849-a617-f101f02808bc · inbound

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy cites this paper.

Spatial RoboGrasp: Generalized Robotic Grasping Control Policy Robust Visual Imitation Learning with Inverse Dynamics Representations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:42.994637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:53:42.994637Z digest=sha256:eb01617d73f57fd07f9c2912c0c1572b4a91511b1ee6a20e64e1178c611eee5e

Observation 5167ff6a-82b7-4ff8-b0a8-cdf50f2aecd4 · inbound

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions cites this paper.

DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions Robust Visual Imitation Learning with Inverse Dynamics Representations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:56:26.215285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T13:55:16.513839Z digest=sha256:79a0e7a4c99b34b05024557b5dd7820de5fccd971af34d6ade658ea95a19367a