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Paper Citation Record · LEDGER

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.04632.

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

pith.paper-citation-record.v1
2206.04632 v3

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:26:27.130417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:08:21.350457Z

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 1c9600e2-67cd-4efc-8cfc-b0cc0c7deb46 · inbound

Steering Robots with Inference-Time Interactions cites this paper.

Steering Robots with Inference-Time Interactions Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:27.130417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:27.130417Z digest=sha256:11e1c4c1919705c6e99537a14b902f73d07717ad33f92a65c352af85a1c23293

Observation 702dc287-228b-45f7-b538-dc1b499032cc · inbound

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories cites this paper.

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:08:21.352725Z

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=2026-05-15T00:08:16.186576Z digest=sha256:53a6c0d9cd86edb829da7af36cc9c625ba4eb6c46b7736c850caa34582d1b335