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Paper Citation Record · LEDGER

EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.00452.

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

pith.paper-citation-record.v1
2103.00452 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:44:00.371889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:32:37.544673Z

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 3e9d5b87-644a-4701-b572-cc498652d2ee · inbound

Movement Primitives in Robotics: A Comprehensive Survey cites this paper.

Movement Primitives in Robotics: A Comprehensive Survey EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T15:44:00.371889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:44:00.371889Z digest=sha256:8c455c69cae0d7d5b18859cb2be561dcd45f49c5845632a16d8b823323e9ee2a

Observation 466f06d9-53b4-4e6f-a7d9-3ba16e88726a · 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 EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle Avoidance

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:32:37.546638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T18:37:04.298448Z digest=sha256:d4c8ae49c9dd68b55d68f8c718c56e7c47dbb21f5b113d2af3d53473a8e0e959