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Paper Citation Record · LEDGER

Computational-Statistical Gaps in Gaussian Single-Index Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.05529.

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

pith.paper-citation-record.v1
2403.05529 v2

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 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:27.432955Z

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

0
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 229f46fc-3ec0-4500-8456-549876720943 · inbound

Joint Learning in the Gaussian Single Index Model cites this paper.

Joint Learning in the Gaussian Single Index Model Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:27.432955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:27.432955Z digest=sha256:fe509e0c625cc53075e732789ac7bd88c70933e31b26ac0a8e3510e49948e120

Observation 1cf55ce2-cbad-4282-81a2-a7990d2d3077 · inbound

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability cites this paper.

How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:20:52.695875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T11:20:33.400885Z digest=sha256:7068949d0385a46d58223cf4190929776d6333a7c8583164be1fa4bb572c2cb1

Observation eb0125b4-67f5-4b48-a665-39169c0929b2 · inbound

When pre-training hurts LoRA fine-tuning: a dynamical analysis via single-index models cites this paper.

When pre-training hurts LoRA fine-tuning: a dynamical analysis via single-index models Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 204

Resolution
unresolved
no resolver link, observed 2026-08-03T05:21:47.692881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:21:47.692881Z digest=sha256:b0070b5da827eb870d649caae863708851e4812c70389bba630e1535f566a255

Observation 28c3bb15-547d-4733-b46f-8aa0f11b7292 · inbound

Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks cites this paper.

Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:28:06.721888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:23:30.626793Z digest=sha256:dba8445821b3150adff644fe39bb14714154b38ef4c21e4b4d466fc8979a284f

Observation 459a5e0a-1302-490d-a525-fde5d426379a · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:09.267226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:37035c505f09ad15a04380907aed9fb9a478092e1b182b1603ddd0a53935709c

Observation 68c7bb39-ba12-41eb-8be9-df4b858d73eb · inbound

The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge cites this paper.

The Mechanism of Weak-to-Strong Generalization: Feature Elicitation from Latent Knowledge Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:07:51.311427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T19:05:51.011440Z digest=sha256:c4afe893333758f8b510f8e211d725b68cc234e9f83c5e98f1c1fb8feaeddc80

Observation 383fe815-fec5-4c05-8942-1e0153c3720e · inbound

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights cites this paper.

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-19T19:42:44.138239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T19:40:45.976975Z digest=sha256:b248bd9e553f3405fb9b70ffeeffd586ad705cede9f59afcf5f19bb2477161f6

Observation 8370a71b-e535-44ba-afa4-68d1f311ea0b · inbound

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces cites this paper.

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T23:11:22.716699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T23:11:05.443406Z digest=sha256:353fcdafb7d602ba0f109abb614e6d688395742390534bddb4383ee94af306ad

Observation 448810d9-aa3a-458d-98d2-59195f5c400d · inbound

The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning cites this paper.

The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-12T03:07:54.001891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:07:54.001891Z digest=sha256:b8246d1484d6dd99526a1460e42e9b77c04fbd4a1ddd1981636ec66434ab3a98

Observation 0aef5da8-c693-42f4-9098-49df90f4aafc · inbound

Approximate Message Passing with Random Initialization for Phase Retrieval cites this paper.

Approximate Message Passing with Random Initialization for Phase Retrieval Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T23:35:22.649590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:35:22.649590Z digest=sha256:19ddc44478f999f1c9dec063b5aff570ec6a47ca408f65577c6d2e76979175d8

Observation 9806e78c-6550-454d-94f4-747ef90ed833 · inbound

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds cites this paper.

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Computational-Statistical Gaps in Gaussian Single-Index Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:50.180988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:50:50.180988Z digest=sha256:768d99332239e66f6cfad6979172e0d4442e94975353d7aa138acfc831438f4f