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Paper Citation Record · LEDGER

Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.11796.

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

pith.paper-citation-record.v1
2210.11796 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:38:31.433701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:32:37.540113Z

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 424207c6-bbf6-45dd-9d4e-f28c123a3bde · inbound

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning cites this paper.

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:38:31.433701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:38:31.433701Z digest=sha256:d7f4937e66e14e9c7566b009ce6458d1e273f68cf3731c30ff1dce9f1fd5f5dc

Observation 07f4b88c-61f9-4115-8f3f-89b0f25306e5 · inbound

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning cites this paper.

Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning Differentiable Constrained Imitation Learning for Robot Motion Planning and Control

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:32:37.541793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T18:37:04.298448Z digest=sha256:6b8f213c18e542a6fc32c59c6b0ec97b08a0a9ba27f1ad38d2246461c123c8f2