Pith. sign in

Paper Citation Record · LEDGER

Risk Sensitive Dead-end Identification in Safety-Critical Offline 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:2301.05664.

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

pith.paper-citation-record.v1
2301.05664 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:35.927209Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:32:55.631685Z

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 5275ae44-41d5-4eba-bfec-257a98839941 · inbound

Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning cites this paper.

Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:35.927209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:35.927209Z digest=sha256:4b14f2a8007818fa258199a9d3fc5a69d90eb00b82cc3aca8e23921ca9f8d68e

Observation f8429033-e01f-4244-9be0-55bba015ae5e · inbound

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning cites this paper.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:32:55.635890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T00:32:51.310272Z digest=sha256:94124ffa60246fd420caf39e9ae936ffe81b24e5cf78ec100f7723ab81a0cbf0