Paper Citation Record · LEDGER

The Low-Rank Simplicity Bias in Deep Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2103.10427.

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

pith.paper-citation-record.v1
2103.10427 v4

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 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:24:40.130731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.211749Z

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 e2a13334-7098-4e3f-8f88-440dc4349b38 · inbound

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions cites this paper.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions The Low-Rank Simplicity Bias in Deep Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T18:24:40.130731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f52a86a-a4fe-4ec2-b6dc-1feb5b3ba2ab · inbound

When More is Less: Understanding Chain-of-Thought Length in LLMs cites this paper.

When More is Less: Understanding Chain-of-Thought Length in LLMs The Low-Rank Simplicity Bias in Deep Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T13:23:22.073221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b29a38d8-e310-4a5b-8743-9c3f7010c5ca · inbound

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models cites this paper.

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models The Low-Rank Simplicity Bias in Deep Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:42:23.169188Z

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 6c41aea2-83e8-4255-a54b-ffc2b07fe243 · inbound

Representation biases: will we achieve complete understanding by analyzing representations? cites this paper.

Representation biases: will we achieve complete understanding by analyzing representations? The Low-Rank Simplicity Bias in Deep Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:03:43.145109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15349436-f3aa-442f-be73-27bb3247f620 · inbound

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos cites this paper.

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos The Low-Rank Simplicity Bias in Deep Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:52:53.051557Z

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 442d1cfb-61e8-4a0d-b77c-ea7745bc69fb · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure The Low-Rank Simplicity Bias in Deep Networks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:52:41.162635Z

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 cd48c23e-1954-4a05-83c8-471edaa8dd0f · inbound

Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion cites this paper.

Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion The Low-Rank Simplicity Bias in Deep Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.769267Z

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 a258aa20-161a-40b9-b2fa-44bf289254e0 · inbound

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation cites this paper.

GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation The Low-Rank Simplicity Bias in Deep Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.489433Z

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 3475acec-ad30-4d45-a3ff-e5c71a61e05b · inbound

Overcoming Rank Collapse in Feedback Alignment cites this paper.

Overcoming Rank Collapse in Feedback Alignment The Low-Rank Simplicity Bias in Deep Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:37.213327Z

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 f2aa1096-1346-47c5-891f-adc66869b43a · inbound

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough cites this paper.

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough The Low-Rank Simplicity Bias in Deep Networks

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-14T00:50:24.285797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b605fdb8-56dc-4e94-984e-addb6569e203 · inbound

The Grokked Illusion: True Equilibrium Mitigates Catastrophic Forgetting cites this paper.

The Grokked Illusion: True Equilibrium Mitigates Catastrophic Forgetting The Low-Rank Simplicity Bias in Deep Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:19.679970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.