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Paper Citation Record · LEDGER

Imitation Learning via Off-Policy Distribution Matching

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.05032.

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

pith.paper-citation-record.v1
1912.05032 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:42:58.311175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:09:07.605152Z

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 0eb30226-101e-49d8-b78c-4e8d28c65da1 · inbound

Distributional Inverse Reinforcement Learning cites this paper.

Distributional Inverse Reinforcement Learning Imitation Learning via Off-Policy Distribution Matching

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T12:42:58.311175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:58.311175Z digest=sha256:3ffa1e3397ad280185b8075be248a5a291655e7a1fbf7a078b869666aa6ff3ca

Observation 22983097-7847-4451-b390-d3a2f1062ce0 · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Imitation Learning via Off-Policy Distribution Matching

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:25.285855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:27:41.845716Z digest=sha256:ef4bf2aae1ea9aac632401b80a215c46e79dfce53c1e381abd39892773b1404e

Observation 66db76f1-5f70-4dee-bd68-3c0d4e711c0c · inbound

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift cites this paper.

Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift Imitation Learning via Off-Policy Distribution Matching

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:09:07.608511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T22:04:57.245024Z digest=sha256:5415fa320172ff3cd565f55be67c57f9498d5b0487a39bc001bdb7b1ed340857