Paper Citation Record · LEDGER

The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.05366.

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

pith.paper-citation-record.v1
2304.05366 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:48:12.652898Z

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

14
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 271b3634-71eb-44c1-8ba3-d27ca0d178b3 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 239

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:03:56.555103Z

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.

Observation cb48dff9-5e11-4778-93e5-114514cb544e · inbound

The Complexity Dynamics of Grokking cites this paper.

The Complexity Dynamics of Grokking The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T16:48:12.652898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34dc3177-f199-44a9-b9e3-ba55e4d27ede · inbound

Universal pre-training by iterated random computation cites this paper.

Universal pre-training by iterated random computation The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:04:26.436738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125d6d7a-b852-4c9b-b681-580aec7bc9d1 · inbound

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks cites this paper.

A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:29.253244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 465e3394-3584-498c-beea-313c107655f0 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:21:38.216362Z

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.

Observation ebee73ff-dd3a-49be-b827-49aadcdf00df · inbound

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

Hypothesis generation and updating in large language models The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:14:12.395122Z

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.

Observation e01f7628-23a3-4936-9d3e-932889821161 · inbound

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-14T00:50:24.285797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae25f44d-bd5c-483d-ab4c-2cf2e6825d73 · inbound

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks cites this paper.

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:31:46.526986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.