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Paper Citation Record · LEDGER

Grokking phase transitions in learning local rules with gradient descent

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:46:22.465170Z

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 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:f07a91005533d866eefc6ff96750e8e679cf622070f31174217a9e7e8a9e55d2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:08f27361b0a28a8ec14c1c46c46c7b358c4aca2981f2ac7a60f11734e9c7f0a0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:4150f40d81ae59ed8407bf13d61c97ffa6ff18951e39c68fe3b6683987eb5ecd

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:cfdf56fb47f00f8e13f28261dd21a4ddb18102311e82a73fb3e4e38381c8bcd9