Paper Citation Record · LEDGER

Imitation Learning via Off-Policy Distribution Matching

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:43:10.659776Z

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 0bd3cad1-c695-485d-b965-0ab957be8df1 · inbound

From Screens to Scenes: A Survey of Embodied AI in Healthcare cites this paper.

From Screens to Scenes: A Survey of Embodied AI in Healthcare Imitation Learning via Off-Policy Distribution Matching

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-10T20:43:10.659776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7418e6c8-5dc5-4ab3-98e0-36583c608810 · inbound

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL cites this paper.

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL Imitation Learning via Off-Policy Distribution Matching

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:40.577492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a695a859-fe68-432b-9b3f-443714294e47 · inbound

Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement cites this paper.

Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement Imitation Learning via Off-Policy Distribution Matching

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:06.332378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d040edbd-238b-4cf2-a3a2-2d88181b49fc · inbound

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization cites this paper.

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization Imitation Learning via Off-Policy Distribution Matching

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:22:26.488059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.