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Paper Citation Record · LEDGER

Evolution and The Knightian Blindspot of Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.13075.

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

pith.paper-citation-record.v1
2501.13075 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:27:27.621262Z

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

1
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 f3c1d14f-6857-4d8e-8f80-620698cb1326 · inbound

Humans Coexist, So Must Embodied Artificial Agents cites this paper.

Humans Coexist, So Must Embodied Artificial Agents Evolution and The Knightian Blindspot of Machine Learning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-08T21:27:27.621262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:27:27.621262Z digest=sha256:b96ba25a02ed665ba3488b527b44ac9bcd1c1be77148cb5ae5bf3609d102312b

Observation 2d6f6084-d62c-4e3d-b145-780925008f8e · inbound

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs cites this paper.

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs Evolution and The Knightian Blindspot of Machine Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:36.341103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:36.341103Z digest=sha256:4e39713fc44a4349666d9a7b618a09bf05e3e7f8755962ff530383766464e0dc

Observation 45c3e2e3-28dd-4e83-8e68-45cca26d62a9 · inbound

Stable diffusion models reveal a persisting human and AI gap in visual creativity cites this paper.

Stable diffusion models reveal a persisting human and AI gap in visual creativity Evolution and The Knightian Blindspot of Machine Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:15:10.445925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:13:33.577367Z digest=sha256:ba8e4013e0a185f3e9ef7c70a3077725756974340e48ac91a614b9bab3b649cb

Observation fb948c85-5a8c-4dd6-ab6a-1003828031b0 · inbound

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems cites this paper.

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems Evolution and The Knightian Blindspot of Machine Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-13T00:55:17.107245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T00:55:17.107245Z digest=sha256:3c3e6332e8651e155b9af00c5c4b76ef6f0e2d4ac30b0e6688b6f9edd2aa300c

Observation ab73096f-e26d-4b58-8011-af5b6b41d412 · inbound

Environmental resilience via morphological diversity within machines cites this paper.

Environmental resilience via morphological diversity within machines Evolution and The Knightian Blindspot of Machine Learning

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-04T08:07:36.880349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:07:36.880349Z digest=sha256:0b9cc3b6fc197172e28b566cdb060321c1d5abdd22f2afe95d1246a3afb7c8cd