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Paper Citation Record · LEDGER

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.05477.

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

pith.paper-citation-record.v1
1909.05477 v2

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:48:32.206554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:13:14.107188Z

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 20d7fb8e-2fbc-45a5-8587-cd8b2ef0a693 · inbound

Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories cites this paper.

Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:13:14.109748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T17:10:04.386499Z digest=sha256:ab7247522c5a67ba6bd858bcfeebfeba7aa8a86de774a90640e1a6e996d1fe12

Observation 80cb5e59-5b8b-49eb-86b1-83b401e1e587 · inbound

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems cites this paper.

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T00:48:32.206554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:48:32.206554Z digest=sha256:6901d1e33d5dbe452553560ae950608b235966a532792cac0d540308c4e06f95

Observation 86200c15-21c6-42d6-bbca-ba7e07c0cbfe · inbound

Multi-Objective Constraint Inference using Inverse reinforcement learning cites this paper.

Multi-Objective Constraint Inference using Inverse reinforcement learning Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:26:00.008214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:21:16.113350Z digest=sha256:9f2261503e24f379b5da7864ffe1f609645b3df8450bffdfd9d7617db6210933