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Paper Citation Record · LEDGER

Omnigrok: Grokking Beyond Algorithmic Data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2210.01117.

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

pith.paper-citation-record.v1
2210.01117 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:27:49.394756Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:47:42.690977Z

Reference resolution

0 of 0 outbound references displayed

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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 13da8c61-1f2b-4ba5-afb2-41106915d9b6 · inbound

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation cites this paper.

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation Omnigrok: Grokking Beyond Algorithmic Data

Reference 17

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no resolver link, observed 2026-08-11T21:37:19.839769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:37:19.839769Z digest=sha256:daadd90052d3651c8e73921dcadeb918b61660f3d66f53d41c7ea0f47b98cc27

Observation f86104b7-cdbd-43ac-a086-0451ce08dbd7 · inbound

The Complexity Dynamics of Grokking cites this paper.

The Complexity Dynamics of Grokking Omnigrok: Grokking Beyond Algorithmic Data

Reference 12

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no resolver link, observed 2026-08-11T16:48:12.632173Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:48:12.632173Z digest=sha256:b965a00a269dccca7492d99e651577d340e1fe4c3e5692fc3a04fcea02a51c77

Observation 445c9277-aa52-4ce1-921a-e3693426a0ba · inbound

Exploring Grokking: Experimental and Mechanistic Investigations cites this paper.

Exploring Grokking: Experimental and Mechanistic Investigations Omnigrok: Grokking Beyond Algorithmic Data

Reference 6

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source=pdf_text observed=2026-08-11T15:33:24.415675Z digest=sha256:5680e7eefb8e67c61ddefbb67f4051b6c56ed85260a80a7308eb7e76f30e4474

Observation 20da7631-c5b4-4c0b-aaf2-9966d38eade9 · inbound

Harmonic Loss Trains Interpretable AI Models cites this paper.

Harmonic Loss Trains Interpretable AI Models Omnigrok: Grokking Beyond Algorithmic Data

Reference 8

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no resolver link, observed 2026-08-09T14:52:24.206473Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:52:24.206473Z digest=sha256:1653dd0ddbd3c7d34c2770f356fc1ac7ae28f9637d66d3ca7a6f1ce2da67b741

Observation 243b8f4d-f8e5-49df-93c4-6a44c9ce3193 · inbound

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

A Two-Phase Perspective on Deep Learning Dynamics Omnigrok: Grokking Beyond Algorithmic Data

Reference 2

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no resolver link, observed 2026-08-16T12:27:49.394756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:27:49.394756Z digest=sha256:baf461a504ca004ed295bc3bac087408d333761b7e7181947278f1937ad449d5

Observation 3d850ad7-a127-4649-9f90-863539939a91 · inbound

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation cites this paper.

NeuralGrok: Accelerate Grokking by Neural Gradient Transformation Omnigrok: Grokking Beyond Algorithmic Data

Reference 14

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no resolver link, observed 2026-08-16T10:50:30.380861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:50:30.380861Z digest=sha256:1996db8066436e420502be00271cd8422e3420b077df3e522f6792bbfb7b498e

Observation 7028189b-45e6-471d-860b-9035e1dfe585 · inbound

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis cites this paper.

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis Omnigrok: Grokking Beyond Algorithmic Data

Reference 60

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no resolver link, observed 2026-08-15T20:58:16.791475Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:58:16.791475Z digest=sha256:4a08807fd09047ceb3408d2e8476adca5ae489ebd753d46f458c177ad5229855

Observation 321bca95-2504-49fe-8057-58dbfc96130c · inbound

Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation cites this paper.

Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation Omnigrok: Grokking Beyond Algorithmic Data

Reference 2

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no resolver link, observed 2026-08-06T17:10:11.987412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:11.987412Z digest=sha256:1f7767dc476881ff6b58d536adbe75bd484ccae7dfb89676a93ce967d1303ef4

Observation 49cb0c53-a0ca-47f7-b7e3-e229ed638f64 · inbound

Predator-Prey Model: Driven Hunt for Accelerated Grokking cites this paper.

Predator-Prey Model: Driven Hunt for Accelerated Grokking Omnigrok: Grokking Beyond Algorithmic Data

Reference 4

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no resolver link, observed 2026-08-04T20:44:19.813177Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:19.813177Z digest=sha256:47576891eda074ca0cc9a78f4ea6ebd0adf6b5eb470e42d44ebc6e07a35ec4ba

Observation c96f09e7-71c9-4bcd-aba8-af6c9811875f · inbound

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

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Omnigrok: Grokking Beyond Algorithmic Data

Reference 5

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verified exact
arxiv_id, observed 2026-05-21T21:14:22.046556Z

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.

source=pdf_text observed=2026-05-21T21:13:24.267454Z digest=sha256:866dbc1bc9999189c088d9f8fdfc494bb38c75ea54e97266cdf6cee2d403e93f

Observation 316c61d3-25a1-40e6-8834-e9aff2eed595 · inbound

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime cites this paper.

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime Omnigrok: Grokking Beyond Algorithmic Data

Reference 13

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arxiv_id, observed 2026-05-16T17:23:09.902730Z

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.

source=pdf_text observed=2026-05-16T17:21:48.237907Z digest=sha256:f529ef0f77ed425d81378238009380789b3eb34cf6a7a8d21deb1ba8612edc97

Observation ee8379f1-db51-449b-b89d-0ad55a281d39 · inbound

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking cites this paper.

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking Omnigrok: Grokking Beyond Algorithmic Data

Reference 4

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arxiv_id, observed 2026-05-15T21:36:40.823802Z

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.

source=pdf_text observed=2026-05-15T21:31:58.997733Z digest=sha256:ac2634358822c5d8a152b74bfd977dbb5d2ec46887c47cbf201cb27c346e1ed0

Observation 61fc3ed2-e0b3-40f3-8ac1-ec04b4926390 · inbound

The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure cites this paper.

The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure Omnigrok: Grokking Beyond Algorithmic Data

Reference 5

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arxiv_id, observed 2026-05-15T20:40:18.314400Z

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.

source=pdf_text observed=2026-05-15T20:39:40.957937Z digest=sha256:2aa55dc40130532d408640733eaad432844e7bcd27f255d1fc6f97b000e291a9

Observation 63608b09-df55-4b4d-b086-fe93945ac620 · inbound

Transformers converge to invariant algorithmic cores cites this paper.

Transformers converge to invariant algorithmic cores Omnigrok: Grokking Beyond Algorithmic Data

Reference 24

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no resolver link, observed 2026-08-02T20:46:31.561996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:46:31.561996Z digest=sha256:eac39bae26cf696d63b54e1fe3acafdedb01ebc580f82377ce68b480e87b15b6

Observation 610e0400-ed91-4016-837d-5c5498267fc2 · inbound

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior cites this paper.

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior Omnigrok: Grokking Beyond Algorithmic Data

Reference 15

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verified exact
arxiv_id, observed 2026-05-14T21:17:58.867132Z

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.

source=pdf_text observed=2026-05-14T21:16:40.430384Z digest=sha256:4d64369680eeb52d13e2aa75fa47a6391862efcc21f27e5129db5ae20ed66dc7

Observation d856c103-953f-4bb5-a152-580d6a3a6c02 · inbound

Gradient-Direction Sensitivity Reveals Linear-Centroid Coupling Hidden by Optimizer Trajectories cites this paper.

Gradient-Direction Sensitivity Reveals Linear-Centroid Coupling Hidden by Optimizer Trajectories Omnigrok: Grokking Beyond Algorithmic Data

Reference 7

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arxiv_id, observed 2026-05-11T23:26:16.805184Z

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.

source=pdf_text observed=2026-05-07T16:59:15.101483Z digest=sha256:8345adbba1e30c56d166a0e59130f807d14ba21773c5e2b70f91ec194ad68480

Observation d55a3b22-c909-4736-aaad-975c8d6d0cc9 · inbound

Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking cites this paper.

Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking Omnigrok: Grokking Beyond Algorithmic Data

Reference 2

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arxiv_id, observed 2026-05-12T08:31:25.877306Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T01:00:33.121853Z digest=sha256:f768be60cebbdf3cfa6c466e15c5f450d5475054bbbf292897e5fdd9530d86b6

Observation 1b793031-f860-4798-af9b-74192f2a304d · inbound

Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds cites this paper.

Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds Omnigrok: Grokking Beyond Algorithmic Data

Reference 37

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arxiv_id, observed 2026-05-12T03:56:21.719619Z

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.

source=arxiv_source observed=2026-05-12T03:55:28.036044Z digest=sha256:25bebb90687769cf8b26de6a89ce2a97a862f814b0076d76dfefa32ce3900162

Observation b82431f7-0df0-453f-9a92-ed88a3f3cf65 · inbound

Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks cites this paper.

Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks Omnigrok: Grokking Beyond Algorithmic Data

Reference 10

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arxiv_id, observed 2026-07-03T17:18:43.491163Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T04:23:46.473335Z digest=sha256:5e357f94994cea790b1a05bfe55af2ace7ce408f3e034ccca579bf49a7e4fd39

Observation b770cd55-1e35-4b8f-a877-367c11e90514 · inbound

What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy cites this paper.

What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy Omnigrok: Grokking Beyond Algorithmic Data

Reference 6

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arxiv_id, observed 2026-07-03T21:18:58.719918Z

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.

source=pdf_text observed=2026-06-27T00:44:38.335028Z digest=sha256:14ba16f455dc848d5b3deadb20cc8c0b7ed1c0df62cb7b0e1d5b5bfcb8dd1504

Observation fde802c7-d1e8-47cf-879e-56f01bb98e2f · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Omnigrok: Grokking Beyond Algorithmic Data

Reference 75

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arxiv_id, observed 2026-07-04T09:59:45.069689Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:8f1f63fa9e813c54c538347d1a8b0e604654d967c9362d0cbd5417f272e35a61

Observation 65c271a0-28ef-4238-bba7-2847fe205c09 · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Omnigrok: Grokking Beyond Algorithmic Data

Reference 75

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arxiv_id, observed 2026-07-01T18:55:59.682672Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:2dced7ca9697a15eadb6612e70c12c9bff465caf0faa7e58736af1aedb3a3b5c

Observation 0b176e8b-e82c-46e0-b51f-578587372112 · inbound

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining cites this paper.

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining Omnigrok: Grokking Beyond Algorithmic Data

Reference 22

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arxiv_id, observed 2026-07-04T21:10:09.136961Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-25T19:04:11.976747Z digest=sha256:5ebdf1a28d211b05577dbeb01b89cbbd992c1c9a20c80339f30f4779bca9bf57

Observation 092cfc9d-02fa-4ddf-bfc9-6e4e829c8bba · inbound

Structure-Specific Representational Priors Causally Control the Grokking Delay cites this paper.

Structure-Specific Representational Priors Causally Control the Grokking Delay Omnigrok: Grokking Beyond Algorithmic Data

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:00:51.742281Z digest=sha256:4de79be7b0a261ca9c30f3732cee66f12b3a6dddd9b6c09420d41eba778f8e4a

Observation ab352201-8202-4bcb-935c-a722bc6ea03c · inbound

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters cites this paper.

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters Omnigrok: Grokking Beyond Algorithmic Data

Reference 8

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no resolver link, observed 2026-07-11T08:46:29.099447Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:46:29.099447Z digest=sha256:5da5874fa1a64ee1ae87e06f2527c1da2976725058515ad5aaa300ebe5019fbd

Observation bc9ceb39-c026-4b8f-92cf-3069e44e3bf9 · inbound

At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics cites this paper.

At-Grok Is Not Converged:A Measurement-Validity Audit for Grokking Representation Metrics Omnigrok: Grokking Beyond Algorithmic Data

Reference 2

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local_arxiv, observed 2026-07-11T00:47:42.713247Z

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.

source=pdf_text observed=2026-07-11T00:46:52.525784Z digest=sha256:5da5a759b3ed006c86b3d164774e35644bf5b4f87e1e459a7100948f75445cbe

Observation b4069c45-7e03-4d6d-b7a8-7a7db153e98d · inbound

How to Tame Grokking: Representation Geometry as a Control Signal cites this paper.

How to Tame Grokking: Representation Geometry as a Control Signal Omnigrok: Grokking Beyond Algorithmic Data

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:01:12.361370Z digest=sha256:166e0067bd57c5d08a5916bcd3e63b792d8b3f2b727ce6c7f19c605f680be3fc

Observation 9d627191-9930-4797-a61c-5335dd465f04 · inbound

Grokking on the Weight-Decay Clock: A Rate Hierarchy from Softly Broken Symmetries cites this paper.

Grokking on the Weight-Decay Clock: A Rate Hierarchy from Softly Broken Symmetries Omnigrok: Grokking Beyond Algorithmic Data

Reference 3

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no resolver link, observed 2026-07-31T23:28:31.923177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:28:31.923177Z digest=sha256:7c3096860d24c9871fff7db1cd3b3075b21a6aa2d62c647a9a2a62165925a593