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Paper Citation Record · LEDGER

Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.14374.

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

pith.paper-citation-record.v1
2212.14374 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:11:36.001517Z

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

0
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 4a0468c9-96f6-4c27-92fb-5f9cc8110d6b · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:31.589078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:64fc37b5f665a285e8d53ea69f1b5a45d965f3a1fe35285765cefc5095ec1940

Observation 8e57dadd-5167-4e1a-8e2e-7b56df4b0e71 · inbound

Automating the Search for Artificial Life with Foundation Models cites this paper.

Automating the Search for Artificial Life with Foundation Models Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:11:36.001517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:11:36.001517Z digest=sha256:d0343c0b47a1005673e71517b8e706a2adb6722d5de35cf157c1685a4eaf7469