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Paper Citation Record · LEDGER

Deep Learning is Not So Mysterious or Different

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:24.192013Z

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
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  • 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 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.

source=arxiv_source observed=2026-08-07T15:42:24.192013Z digest=sha256:7d278c496df1616c653215e64729c33a209dd4cdd1d77ab30196423051e093bc

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 2026-08-10T06:31:04.303077+00:00.

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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.

source=pdf_text observed=2026-08-07T11:15:52.223221Z digest=sha256:f189f260cb5600a6f447048e58e54dad4724a26a7bc70260d1de7dfac733d7aa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T00:22:54.089145Z digest=sha256:2113991ab080a0e4ba00327a0d4f19aa020616ba170530eed2cd1fee94e951c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T06:27:34.062765Z digest=sha256:b2d8862613941ba327b433da24e90c774056f6a522a29a349f37f762fb6815fa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T15:54:21.139902Z digest=sha256:fc38aae5c6d3c566806758f7892dbbeca9652280006bcc8cbd51545be724347c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:bf38cc4fb5a24f415c839cfb93e4ef165b98ce36c025673baa743cbe1d2dad95

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T18:55:03.636902Z digest=sha256:4d29f261924fbca4c3a64f60070b362fb56908e1610955f29d71281a28f4d6b6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:53f0ddb2e550970d1fb153af35de44e1d5f240137fb2cf7bca63f65cb2d6502d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:16b884b3e1f42b82be25235f9c6dff28b4fc3c44c3bf17bec88c7f9483500459

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T07:52:42.009332Z digest=sha256:dad8dc9383e1ddc1b97b973886694b39a56c80beea56f5dc0d0f8816f8241e88

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 2026-08-10T06:31:04.303077+00:00.

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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.

source=arxiv_source observed=2026-07-14T00:50:24.285797Z digest=sha256:76931b68ed3ed3e222ca471f22d7e37a46ca4f10695eda9ce6b769255e7e736a

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.

source=pdf_text observed=2026-07-31T00:44:59.617751Z digest=sha256:8f26307955a9e8ecff2c7227a57b516934f400aa1c344b9b331bd0aae3f55e1b

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.

source=pdf_text observed=2026-08-01T08:41:07.252186Z digest=sha256:a926794984489efbe49ff13731b7a1be47c1b07554da54ac25728ef6add244a1

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.

source=arxiv_source observed=2026-08-05T15:25:39.740572Z digest=sha256:159bfff6f32ab4335a8ea56e19828b830685294bfcf412998ef3c7a4167b2f4f