Paper Citation Record · LEDGER

Grokking as Compression: A Nonlinear Complexity Perspective

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.05918.

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

pith.paper-citation-record.v1
2310.05918 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:27:49.442057Z

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 c20f2aa5-09a8-446d-b681-08a86fce7c8d · inbound

Grokking vs. Learning: Same Features, Different Encodings cites this paper.

Grokking vs. Learning: Same Features, Different Encodings Grokking as Compression: A Nonlinear Complexity Perspective

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T14:44:27.090670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68916361-4f92-48da-a5dc-0d6d628b0698 · inbound

When Do Neural Networks Learn World Models? cites this paper.

When Do Neural Networks Learn World Models? Grokking as Compression: A Nonlinear Complexity Perspective

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T22:12:50.108574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3511184-a246-4665-b36c-10942137da35 · inbound

A Two-Phase Perspective on Deep Learning Dynamics cites this paper.

A Two-Phase Perspective on Deep Learning Dynamics Grokking as Compression: A Nonlinear Complexity Perspective

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:49.442057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e01938-07ab-422f-8859-6cf21576fed4 · inbound

Truth as a Compression Artifact in Language Model Training cites this paper.

Truth as a Compression Artifact in Language Model Training Grokking as Compression: A Nonlinear Complexity Perspective

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:25:35.684193Z

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.

Observation 86835c7c-4edc-4fd0-83df-b3f04eb77d7e · inbound

Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry cites this paper.

Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry Grokking as Compression: A Nonlinear Complexity Perspective

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:33:52.226622Z

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.