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Paper Citation Record · LEDGER

Cooperative Inverse Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1606.03137.

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

pith.paper-citation-record.v1
1606.03137 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:43.422427Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

326
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4aa2bc9a-464f-4ceb-ba47-e9bdba8fce39 · inbound

Detecting Spiky Corruption in Markov Decision Processes cites this paper.

Detecting Spiky Corruption in Markov Decision Processes Cooperative Inverse Reinforcement Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T12:20:47.708198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T12:17:04.004038Z digest=sha256:21b50ab6c3a06f0f4629c93f6d86104589473e2361d5379e1ff8213bb79583fa

Observation 6692b176-099d-42d5-841d-bd3e27fb8312 · inbound

Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study cites this paper.

Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study Cooperative Inverse Reinforcement Learning

Reference 7358

Resolution
unresolved
no resolver link, observed 2026-08-08T23:04:20.702627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:04:20.702627Z digest=sha256:8fc792364b78f18b0e9c3336815cdf74ff43c12f736110aafca1255b0e881ebe

Observation 87e59428-849c-4aaf-9e38-f789a946f5e2 · inbound

Optimal Interactive Learning on the Job via Facility Location Planning cites this paper.

Optimal Interactive Learning on the Job via Facility Location Planning Cooperative Inverse Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:49:43.422427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:49:43.422427Z digest=sha256:fca0925f0deae844a24fd23f0f17b389756b6d1af01cff02b8a78a4a40f8c62a

Observation ed8220b8-a919-479f-a673-104d7926778a · inbound

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework cites this paper.

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework Cooperative Inverse Reinforcement Learning

Reference 132

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:51:09.454061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T07:53:13.746141Z digest=sha256:0dd9bd32d7d0d17a41cc47fc8311c236f37efaf281c732cb4daa23ee3ece4aed

Observation 63804fe2-61a3-411d-abcd-5750c045f237 · inbound

Hypothesis generation and updating in large language models cites this paper.

Hypothesis generation and updating in large language models Cooperative Inverse Reinforcement Learning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-08T21:14:12.404414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T14:43:56.125546Z digest=sha256:e48975cf2b9f597a30a33f8ca253ba54248618b9748d8a4951ac4ec0826d016d

Observation 97e8031e-b100-48dd-809f-24394f677672 · inbound

FormIDEAble: Safe and Socially-aware Autonomous Systems cites this paper.

FormIDEAble: Safe and Socially-aware Autonomous Systems Cooperative Inverse Reinforcement Learning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T11:15:41.969725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T04:40:48.746265Z digest=sha256:fa992e271c137ff14cc7d26f52e53f1c809d350762d0037ad13e43eab0d848f1