Paper Citation Record · LEDGER

Deep Learning is Not So Mysterious or Different

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.02113.

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

pith.paper-citation-record.v1
2503.02113 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:51:29.659064Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f9cf1147-d403-4b8d-a7e9-eff30085d73d · inbound

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features cites this paper.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Deep Learning is Not So Mysterious or Different

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:51:29.659064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4aaa53-4f58-45a3-812a-b2f826223c0f · inbound

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging cites this paper.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Deep Learning is Not So Mysterious or Different

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:24.192013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3048a3-8eae-4e82-a989-ce03e0050ca9 · inbound

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy cites this paper.

Overfitting has a limitation: a model-independent generalization gap bound based on R\'enyi entropy Deep Learning is Not So Mysterious or Different

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:24:30.960756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8ced4b0e-8ac4-498d-8702-89a3eb332f35 · inbound

Models of Heavy-Tailed Mechanistic Universality cites this paper.

Models of Heavy-Tailed Mechanistic Universality Deep Learning is Not So Mysterious or Different

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:52.223221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2422bcd4-238a-482c-ac7a-674f09ed7b29 · inbound

Spectral methods: crucial for machine learning, natural for quantum computers? cites this paper.

Spectral methods: crucial for machine learning, natural for quantum computers? Deep Learning is Not So Mysterious or Different

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:23:22.263662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7df9bf4-3fcc-4443-98d6-06e420b16c64 · inbound

The Virtue of Sparsity in Complexity cites this paper.

The Virtue of Sparsity in Complexity Deep Learning is Not So Mysterious or Different

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.754708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 052b6e9b-44af-479b-8877-c6bc0831febb · inbound

Estimating Implicit Regularization in Deep Learning cites this paper.

Estimating Implicit Regularization in Deep Learning Deep Learning is Not So Mysterious or Different

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:12.886249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4473c70c-fdb6-46b9-8ca0-23aa8d174e21 · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks Deep Learning is Not So Mysterious or Different

Reference 171

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:38:16.937825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 473c4f3a-de6d-43ec-ad89-1e116f83fe86 · inbound

The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning cites this paper.

The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning Deep Learning is Not So Mysterious or Different

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-26T18:59:43.598392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2c2e740e-56e8-464b-8cf4-7d860f6f135b · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Deep Learning is Not So Mysterious or Different

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-06-26T15:39:33.160467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b5b120a-1058-4d94-89bb-9510b5b693e5 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Deep Learning is Not So Mysterious or Different

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:25.364128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 607620a5-0eea-4ed8-9f26-de013c47e646 · inbound

To select or not to select: predictively consistent priors instead of model selection cites this paper.

To select or not to select: predictively consistent priors instead of model selection Deep Learning is Not So Mysterious or Different

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:59:16.043107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7891e8b-bea4-40de-b9b9-f2dde202ad9f · inbound

Spectral Born machines: classically trainable quantum generative models for discrete data cites this paper.

Spectral Born machines: classically trainable quantum generative models for discrete data Deep Learning is Not So Mysterious or Different

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-10T23:47:47.133672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 701aa43c-3011-462c-bda9-4e8eba8a1ace · 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 Deep Learning is Not So Mysterious or Different

Reference 72

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 4c1b21c7-884d-4edb-a266-d0034770fd7f · inbound

Semantic Space Search Trajectory Networks cites this paper.

Semantic Space Search Trajectory Networks Deep Learning is Not So Mysterious or Different

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T00:44:59.617751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ee2a5e1-1984-4a6e-b34a-9f492ee146e2 · inbound

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation cites this paper.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Deep Learning is Not So Mysterious or Different

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T08:41:07.252186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb06690-7eb8-4c35-886b-beb0ef29f003 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Deep Learning is Not So Mysterious or Different

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:39.740572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.