Paper Citation Record · LEDGER

Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2306.13253.

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

pith.paper-citation-record.v1
2306.13253 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:21.670705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.861099Z

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 d8d8cb86-4c54-4f7b-bf81-9f00d07ac523 · inbound

Grokking Beyond the Euclidean Norm of Model Parameters cites this paper.

Grokking Beyond the Euclidean Norm of Model Parameters Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:21.670705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9f967d-50ab-474d-a2ae-1de8ba0b3be3 · inbound

CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding cites this paper.

CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.265167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3994f5a5-2945-4839-8a2b-effa71ded4e7 · inbound

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking cites this paper.

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:14:22.011417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bca86fd2-ea07-4828-8c15-f3cee995314f · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 228

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:40:54.823861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f60092f7-4f59-48ec-8a67-493998a9d991 · inbound

To Grok Grokking: Provable Grokking in Ridge Regression cites this paper.

To Grok Grokking: Provable Grokking in Ridge Regression Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T07:41:33.592605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90630969-a292-434a-a260-4f1520259ef5 · inbound

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance cites this paper.

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:09.005546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e301fc5b-a533-40a3-87d2-2a14dbac7594 · inbound

Spectral Lens: Activation and Gradient Spectra as Diagnostics of LLM Optimization cites this paper.

Spectral Lens: Activation and Gradient Spectra as Diagnostics of LLM Optimization Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:26:13.345600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8d21fed2-5c10-415f-a212-898220d6ee47 · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.862681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d833da7-0719-4b02-9275-a1b2751ca3a7 · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:59.725046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.