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Paper Citation Record · LEDGER

Scalable Bayesian Inverse Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.06483.

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

pith.paper-citation-record.v1
2102.06483 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:23.877370Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:03:29.004843Z

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 5af27fa9-bcb1-45ee-8b2d-8e459801dd17 · inbound

Detection of coordinated fleet vehicles in route choice urban games. Part I. Inverse fleet assignment theory cites this paper.

Detection of coordinated fleet vehicles in route choice urban games. Part I. Inverse fleet assignment theory Scalable Bayesian Inverse Reinforcement Learning

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:03:29.057928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T22:03:23.877370Z digest=sha256:b209711e7d2eb3dcf621da852bc83cd80003f4ee748f4ac8a13afc579946552e

Observation 3280a2e8-d2b7-4a9e-b2b6-f5f3d768c23a · inbound

Distributional Inverse Reinforcement Learning cites this paper.

Distributional Inverse Reinforcement Learning Scalable Bayesian Inverse Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T12:42:56.164696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:56.164696Z digest=sha256:6d014068e437a8fd54f9875d87e87a0c93e960637c1c1bdc254073518725d48f