Paper Citation Record · LEDGER

Primal Wasserstein Imitation Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2006.04678.

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

pith.paper-citation-record.v1
2006.04678 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:37.808745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:37:31.349429Z

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 1cce4019-838e-4a4a-9157-2a1dc681cd9f · inbound

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations cites this paper.

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations Primal Wasserstein Imitation Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T10:55:37.808745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d280e65-99a7-48d4-9950-55ccffc929dd · inbound

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning cites this paper.

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning Primal Wasserstein Imitation Learning

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:00.254927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e2db50-4835-4f94-aa4e-94135a9d6440 · inbound

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance cites this paper.

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance Primal Wasserstein Imitation Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:00:41.936990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2660fe2-e6ff-4bf9-986e-1096839a1241 · inbound

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering cites this paper.

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering Primal Wasserstein Imitation Learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:26.575609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba402668-8c7e-41c1-ae75-25b5fab4ef91 · inbound

ReGIL: Retrieval-Guided Imitation Learning from a Single Demonstration cites this paper.

ReGIL: Retrieval-Guided Imitation Learning from a Single Demonstration Primal Wasserstein Imitation Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:37:31.351081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.