Pith. sign in

Paper Citation Record · LEDGER

Efficient, Safe, and Probably Approximately Complete Learning of Action Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1705.08961.

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

pith.paper-citation-record.v1
1705.08961 v1

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 2026-08-15T21:46:09.108140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:41:42.192154Z

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 29b18e65-b052-4f93-a9c4-d56acb9c839a · inbound

Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models cites this paper.

Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models Efficient, Safe, and Probably Approximately Complete Learning of Action Models

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-10T05:41:42.198918Z

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=2026-08-10T05:41:42.106618Z digest=sha256:fe257b5da968e7526ce3b13cca816bfb0daad51d6bb352321c14530807b36804

Observation fc9d61f1-2d85-4ca3-8d8e-28cf3df365ef · inbound

On the Parallels Between Evolutionary Theory and the State of AI cites this paper.

On the Parallels Between Evolutionary Theory and the State of AI Efficient, Safe, and Probably Approximately Complete Learning of Action Models

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:09.108140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:09.108140Z digest=sha256:f358eee1d42218b64ba93356ab99630f18a4b9f9d2e370add02fa9accfc202d6

Observation 678cc680-bc39-429d-b993-9fb2493ad060 · inbound

Evolution, Future of AI, and Singularity cites this paper.

Evolution, Future of AI, and Singularity Efficient, Safe, and Probably Approximately Complete Learning of Action Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T19:49:20.707129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:49:20.707129Z digest=sha256:79358ee196ac9ae3a3b801fb71234880efccd783b1f67517ae08f4a3e67393b8