Paper Citation Record · LEDGER

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2207.08799.

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

pith.paper-citation-record.v1
2207.08799 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T08:46:29.099447Z

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

12
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 fbc2d07d-597a-42d0-9b66-0e56c0f3a6b1 · inbound

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small cites this paper.

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:13:51.494465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 695b23b0-ae68-418e-9e26-ceb4e62fcf24 · inbound

Progress measures for grokking via mechanistic interpretability cites this paper.

Progress measures for grokking via mechanistic interpretability Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:52:56.141440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2aaa1d0a-f51b-4518-b377-c470626ae7eb · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:02:53.826534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19323556-7624-4dab-a6db-53763a74bb8b · 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 Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:17:58.875355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 298e738a-b6be-435f-86d9-f592bcc31193 · inbound

The two clocks and the innovation window: When and how generative models learn rules cites this paper.

The two clocks and the innovation window: When and how generative models learn rules Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:16:18.120838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 746933b5-0e7a-4b20-ac76-0a3269ed01ad · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:24.123871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b17d132e-133a-4163-a9cf-a73a301c60a2 · inbound

Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases cites this paper.

Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:19:46.460873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 84460bec-87cd-4060-998c-fb2d1b0d334d · inbound

Dead Directions: Geometric Singular Learning cites this paper.

Dead Directions: Geometric Singular Learning Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.206532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5da745fc-0311-4d6e-bd9e-a4005e0819f7 · inbound

Tracking Representation Dynamics in Large Language Models with Persistent Homology cites this paper.

Tracking Representation Dynamics in Large Language Models with Persistent Homology Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:17.222472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation af373fd4-4fc2-4a8a-88ac-58ab1142c327 · inbound

Dead-Direction Signatures: A Cheap Spectral Reading of Singular Complexity cites this paper.

Dead-Direction Signatures: A Cheap Spectral Reading of Singular Complexity Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.277556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d977a711-ba09-4398-9940-0d3116057758 · 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 Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.