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Paper Citation Record · LEDGER

Grokking phase transitions in learning local rules with gradient descent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.15435.

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

pith.paper-citation-record.v1
2210.15435 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:38.903816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.036550Z

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 bf42742f-24ea-44d6-a04f-1d1159adf266 · inbound

Grokking Explained: A Statistical Phenomenon cites this paper.

Grokking Explained: A Statistical Phenomenon Grokking phase transitions in learning local rules with gradient descent

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T14:36:16.447589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:36:16.447589Z digest=sha256:2443e3e137fbca3d34bc0ed16912ae23fb4099d0c658e2302986d9ee30fa030f

Observation 37776244-81ab-4388-9295-99fc11cd386d · inbound

Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model cites this paper.

Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model Grokking phase transitions in learning local rules with gradient descent

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:38.903816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:38.903816Z digest=sha256:d5f779779f86437bdc7f7bc7e8ba45249faf0f026200e961cd8c22f909b09849

Observation 306e0605-2734-4201-9e22-f5f69268bb97 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Grokking phase transitions in learning local rules with gradient descent

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T17:46:22.465170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:46:22.465170Z digest=sha256:067f2fa6a74a7b13f8af12d5c54a682632b16c70fd264b87687d052296d32cc3

Observation c5d2c633-0312-48db-8833-787a23a54fa9 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Grokking phase transitions in learning local rules with gradient descent

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.038772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:b9a02eb97d72cc6c1afa3424b36e2563f0503574949efadad15f8ef3c4783afa

Observation 7f85867b-44b1-41d6-b8cd-798486367059 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Grokking phase transitions in learning local rules with gradient descent

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:55:59.672489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:fca0610916f052f4214394770362d3023628a4afcefa68e4d27aae3bb2eaa090

Observation 18d1b619-01a7-42fc-bbeb-5f8bea9a923f · inbound

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations cites this paper.

Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations Grokking phase transitions in learning local rules with gradient descent

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T03:55:35.449529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:55:35.449529Z digest=sha256:7ec75c5f020c1328c3e947265f37328b308f8bd60592aa405139ccc547f4802f