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Paper Citation Record · LEDGER

Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12055.

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

pith.paper-citation-record.v1
2310.12055 v1

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 2026-08-07T00:54:46.227463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:10:44.700778Z

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 2f42733e-c511-4ad0-b335-1fc0f1732b30 · inbound

Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:46.227463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:54:46.227463Z digest=sha256:182eb6110818668a4d1e17bcda48d1a52aa832ed19336331fb8da215a34f9435

Observation 6266c9a9-b011-4621-bcb0-7c41d0b62aa2 · inbound

Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters cites this paper.

Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:10:44.702527Z

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=pdf_text observed=2026-05-21T23:08:08.096620Z digest=sha256:f0647ca6ba4d2a77fd3f2b81bf77adbe981684ac41b97b9a1d2c92733fa89953