Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Low-Rank Simplicity Bias in Deep Networks
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2103.10427.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:44:49.921182Z
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 34faf0b2-2742-48f6-91d9-c2a86c3faec5 · inbound
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction cites this paper.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction The Low-Rank Simplicity Bias in Deep Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:44:49.921182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2a0397e-7e89-48e9-9b47-ccacf06c17ee · inbound
Self-Assembly of a Biologically Plausible Learning Circuit cites this paper.
Self-Assembly of a Biologically Plausible Learning Circuit The Low-Rank Simplicity Bias in Deep Networks
Reference 2007
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:46:41.139192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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.
Observation 9501a47e-5c51-4755-81d0-e7d54a7c335a · inbound
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control The Low-Rank Simplicity Bias in Deep Networks
Reference 192
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:48:45.911235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.