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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 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:23:22.073221Z

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 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.

source=pdf_text observed=2026-08-08T13:23:22.073221Z digest=sha256:c9b82f7c11040b070aee71a4627cd736458dda4678aa9990505b535bc3a79162

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.

source=pdf_text observed=2026-05-23T01:41:55.632680Z digest=sha256:5c478094812feda189bcfa78c56897bc52e0d7c74c8a85ab82f758538646ac4b

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.

source=pdf_text observed=2026-08-06T12:03:43.145109Z digest=sha256:79877e06e3bf21a5526f018491de45abc9372fa5c49de39cdb9d4523ea660715

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.

source=pdf_text observed=2026-05-18T23:52:06.036879Z digest=sha256:a18606fa0426523d70e73fd7ce95effa25a4622e886f64a6d04874f12fc71477

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.

source=pdf_text observed=2026-05-18T14:51:30.312509Z digest=sha256:f909c7ca4501998c291ad2cba93ba6bfbf316fee3bb0c95f94a5d1023425695b

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.

source=pdf_text observed=2026-06-29T08:59:24.358140Z digest=sha256:81f94a66b62c7c145f874baf82ffb0d70b0033b5e1af1b3a3cbc1402af2188ed

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.

source=pdf_text observed=2026-06-28T17:28:14.160341Z digest=sha256:de981b63e07fcba2fad843f410eb33f33bfeac79b64b0decbf773eacd8b3c2cd

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.

source=pdf_text observed=2026-06-27T13:52:57.960921Z digest=sha256:3a1b73193b5eec36910d81f120764408aa02fe4fd33795a845ae8dc19d2a90f6

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.

source=arxiv_source observed=2026-07-14T00:50:24.285797Z digest=sha256:115040223d9ed52e072a8b9e26d205f1c850c328b6db0e0724faa9532a2ee032

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.

source=arxiv_source observed=2026-08-03T05:43:19.679970Z digest=sha256:b82a9275c3ab4fe6352b745dec071dd962a44d08d7db1b3f35226b1dccb9742e