Paper Citation Record · LEDGER

SETOL: A Semi-Empirical Theory of (Deep) Learning

As of 9 August 2026, this Paper Citation Record lists 100 of 148 outbound references and 6 inbound Pith citation observations for arXiv:2507.17912.

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

pith.paper-citation-record.v1
2507.17912 v2

Coverage vector

measured 100 of 148 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:20.169177Z

measured 106 of 106 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T23:41:26.610335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:25.684114Z

Reference resolution

100 of 148 outbound references displayed

verified exact4
verified fuzzy13
unresolved83
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfc5347a-f962-486b-9929-d55c13e25846 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021.

SETOL: A Semi-Empirical Theory of (Deep) Learning Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.907324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ebd3ff-4d54-4f83-a452-db83718f8024 · outbound

This paper cites The nobel prize in physics 2024, 2024.

SETOL: A Semi-Empirical Theory of (Deep) Learning The nobel prize in physics 2024, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.911197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44f0e32-7e10-4586-a091-eef3ac6bf203 · outbound

This paper cites The nobel prize in chemistry 2024, 2024.

SETOL: A Semi-Empirical Theory of (Deep) Learning The nobel prize in chemistry 2024, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.914058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0385796-8160-412b-9f41-650a8c2ba462 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.916772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37dfd05a-3116-462d-b517-fbe62d179bdf · outbound

This paper cites Engel and C.

SETOL: A Semi-Empirical Theory of (Deep) Learning Engel and C

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.919382Z

Source-reported events for the cited work

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Observation 8b8cd7c5-dc2a-45b9-a43c-1ee168c2d0df · outbound

This paper cites The space of interactions in neural network models.Journal of Physics A: Mathematical and General, 21(1):257, jan 1988.

SETOL: A Semi-Empirical Theory of (Deep) Learning The space of interactions in neural network models.Journal of Physics A: Mathematical and General, 21(1):257, jan 1988

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.921813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b1e4701-bcbe-494a-9299-4f165017c1b6 · outbound

This paper cites Sompolinsky, N.

SETOL: A Semi-Empirical Theory of (Deep) Learning Sompolinsky, N

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.924516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c0c886-5670-454a-9ef8-61b9b736c54b · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.926959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0279efb-2827-4499-9abe-e36241e25194 · outbound

This paper cites Levin, N.

SETOL: A Semi-Empirical Theory of (Deep) Learning Levin, N

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.929330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b27c188e-4b0e-4923-8982-3a1cd25e8e19 · outbound

This paper cites Statistical physics, Bayesian inference and neural information processing.

SETOL: A Semi-Empirical Theory of (Deep) Learning Statistical physics, Bayesian inference and neural information processing

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:20.580989Z

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.

Observation 5ad0389b-dd9e-4a88-8fb1-bf9954d1ab6b · outbound

This paper cites Vapnik.Statistical Learning Theory.

SETOL: A Semi-Empirical Theory of (Deep) Learning Vapnik.Statistical Learning Theory

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.934543Z

Source-reported events for the cited work

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Observation 47f21556-749d-48a6-bfc7-7a7a6296aec7 · outbound

This paper cites Neuralnetworksandphysicalsystemswithemergentcollectivecomputationalabilities.

SETOL: A Semi-Empirical Theory of (Deep) Learning Neuralnetworksandphysicalsystemswithemergentcollectivecomputationalabilities

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.936969Z

Source-reported events for the cited work

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Observation 44c28e7f-d0b5-4fd1-b1b9-fe9752f7dc40 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.939302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4076c62-7239-461c-bf4b-58a760a485c5 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.941613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea89ee6-095d-4bf7-8317-79aec33557e3 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.944130Z

Source-reported events for the cited work

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Observation 4e3f09fb-61d6-49fa-9db8-12446db06ed3 · outbound

This paper cites Belkin, D.

SETOL: A Semi-Empirical Theory of (Deep) Learning Belkin, D

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.946456Z

Source-reported events for the cited work

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Observation e7775a9b-f454-479f-b689-5d2e4e396b27 · outbound

This paper cites A brief prehistory of double descent.

SETOL: A Semi-Empirical Theory of (Deep) Learning A brief prehistory of double descent

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.948594Z

Source-reported events for the cited work

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Observation d21c80d5-8a53-4ca8-b485-3141223593eb · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.950963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f74a5d-01ce-4e36-bc71-53861855569b · outbound

This paper cites Roberts, Sho Yaida, and Boris Hanin.

SETOL: A Semi-Empirical Theory of (Deep) Learning Roberts, Sho Yaida, and Boris Hanin

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.953138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e99f64-a6f8-4a78-b9af-ed96f5c1dc2c · outbound

This paper cites Vapnik, E.

SETOL: A Semi-Empirical Theory of (Deep) Learning Vapnik, E

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.955525Z

Source-reported events for the cited work

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Observation 8712ea51-31b1-436f-a890-edb0efc380fd · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.957725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7d2c52-8bfe-47fc-bc6b-b75babb86018 · outbound

This paper cites Haussler, M.

SETOL: A Semi-Empirical Theory of (Deep) Learning Haussler, M

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.959967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95958104-a5f0-429c-b505-2eff77d4eb27 · outbound

This paper cites Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.

SETOL: A Semi-Empirical Theory of (Deep) Learning Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.962372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca45a118-8f9f-4294-82eb-3949c7ddac00 · outbound

This paper cites Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics.

SETOL: A Semi-Empirical Theory of (Deep) Learning Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:20.561912Z

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.

Observation d5c3de3c-740e-494d-a605-30e6beb52e5c · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.967623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c229e3a8-85a3-45f0-a014-0adbce16a01b · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.970127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61174b1-5816-4df9-8c82-524a213a17d7 · outbound

This paper cites Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.

SETOL: A Semi-Empirical Theory of (Deep) Learning Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.972370Z

Source-reported events for the cited work

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Observation 4627ab2a-0e2a-4ac7-bf26-2205255a84c3 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.975048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd388a6-e602-4f00-9767-0b2ea0ffec28 · outbound

This paper cites Temperature balancing, layer-wise weight analysis, and neural network training.

SETOL: A Semi-Empirical Theory of (Deep) Learning Temperature balancing, layer-wise weight analysis, and neural network training

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.977421Z

Source-reported events for the cited work

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Observation fd9c7752-120c-4974-b668-b8969041dfd3 · outbound

This paper cites Mahoney, and Yaoqing Yang.

SETOL: A Semi-Empirical Theory of (Deep) Learning Mahoney, and Yaoqing Yang

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.979631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec9c16df-5a33-43c1-8fe2-2926fb765c77 · outbound

This paper cites Hans Bethe and the theory of nuclear matter.Physics Today, 58(10):58, 2005.

SETOL: A Semi-Empirical Theory of (Deep) Learning Hans Bethe and the theory of nuclear matter.Physics Today, 58(10):58, 2005

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.982039Z

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Observation a9fe06ec-5587-4827-85a4-c601a8c3fe8a · outbound

This paper cites Ivanenko.

SETOL: A Semi-Empirical Theory of (Deep) Learning Ivanenko

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.984376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6a7a512-6341-4419-90d5-af187c1d48c6 · outbound

This paper cites On closed shells in nuclei.

SETOL: A Semi-Empirical Theory of (Deep) Learning On closed shells in nuclei

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.986685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16a2550-cf99-4b37-9379-22ed315d2ae3 · outbound

This paper cites magic numbers.

SETOL: A Semi-Empirical Theory of (Deep) Learning magic numbers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.989213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de1304b9-c5d0-49d6-a753-91c7537379b3 · outbound

This paper cites Characteristic vectors of bordered matrices with infinite dimensions.

SETOL: A Semi-Empirical Theory of (Deep) Learning Characteristic vectors of bordered matrices with infinite dimensions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.991561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7738a13-2d6c-4966-a970-2db8ec58c248 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.993908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e17c80-a51b-4b52-8e3b-f9398c6c2d2e · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.996334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d80048a-5567-4a09-be4c-29d8d326647b · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:19.998605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b74c2b-93ea-4bc7-ad82-3b8534bcb04f · outbound

This paper cites Sener and Klaus Schulten.

SETOL: A Semi-Empirical Theory of (Deep) Learning Sener and Klaus Schulten

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.000854Z

Source-reported events for the cited work

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Observation 89c34f06-b706-49ce-bad7-5a744857a363 · outbound

This paper cites Gallucio, J.-P.

SETOL: A Semi-Empirical Theory of (Deep) Learning Gallucio, J.-P

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.006257Z

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Observation 23e4435f-17fd-443d-aa23-07a7751a25b1 · outbound

This paper cites Cherrier, D.

SETOL: A Semi-Empirical Theory of (Deep) Learning Cherrier, D

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.008754Z

Source-reported events for the cited work

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Observation 90731596-0314-4966-91ae-293d2977e2e8 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.011264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229dd47e-01c5-4382-80d4-1845b0a1384b · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.013562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd347550-9dde-4e42-ad27-cb10b840d5de · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.016043Z

Source-reported events for the cited work

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Observation 06889ff2-0a74-4a4c-bce5-a38abde1dd87 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.018774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2601cb03-41d0-4f11-b61f-2fe7807ceb6d · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.021253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6417f48b-995d-4cc9-a146-c09abf0bf65f · outbound

This paper cites Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme.

SETOL: A Semi-Empirical Theory of (Deep) Learning Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.023517Z

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Observation a30f1f46-90da-4dd4-926a-439b2e73ebeb · outbound

This paper cites Chapter 21 - semiempirical quantum-chemical methods in computational chemistry.

SETOL: A Semi-Empirical Theory of (Deep) Learning Chapter 21 - semiempirical quantum-chemical methods in computational chemistry

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.026062Z

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Unavailable: canonical work link unavailable.

Observation 2d3d2abc-1f59-4fe6-af8f-610fd9c562d5 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.028766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee02a106-e8a3-483d-b488-a02ca20e3956 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.031480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ce7375-1a21-4643-ace7-20932d14beb2 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.034018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6588f3-5490-43eb-a7ec-0580b4c11df3 · outbound

This paper cites Martin and Karl F.

SETOL: A Semi-Empirical Theory of (Deep) Learning Martin and Karl F

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.036680Z

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Observation 7fa56818-3d9d-456a-88dc-aa969d640583 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.039107Z

Source-reported events for the cited work

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Observation 4589489e-e4e6-4cb1-b06d-3a0a467dd5fe · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.041692Z

Source-reported events for the cited work

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Observation 26cfb57d-2334-47a4-9b20-5583d218760f · outbound

This paper cites Martin and Robert R.

SETOL: A Semi-Empirical Theory of (Deep) Learning Martin and Robert R

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.044118Z

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Observation 9ca6f8f8-5e37-4da4-ad27-199eaf925472 · outbound

This paper cites The nobel prize in physics 1982: Kenneth g.

SETOL: A Semi-Empirical Theory of (Deep) Learning The nobel prize in physics 1982: Kenneth g

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.047188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 876312fb-a238-4389-bf7a-f7578897a5a9 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.050367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196168bf-af09-41ae-84f2-3d8d460490e1 · outbound

This paper cites Improving language under- standing by generative pre-training.OpenAI, 2018.

SETOL: A Semi-Empirical Theory of (Deep) Learning Improving language under- standing by generative pre-training.OpenAI, 2018

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.053086Z

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Unavailable: canonical work link unavailable.

Observation 15ec5638-2e4b-4a9e-b40d-96256617b0c4 · outbound

This paper cites Rapid calculation of side chain packing and free energy with applications to protein molecular dynamics.

SETOL: A Semi-Empirical Theory of (Deep) Learning Rapid calculation of side chain packing and free energy with applications to protein molecular dynamics

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:20.541858Z

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.

Observation 3168bf59-0eb1-4759-8608-17248ceb0d2e · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.059307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a708339b-f46f-43a9-97bf-8383936eeb20 · outbound

This paper cites Deep Neural Networks as Gaussian Processes.

SETOL: A Semi-Empirical Theory of (Deep) Learning Deep Neural Networks as Gaussian Processes

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.062070Z

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Observation 0ea6c490-5048-4e48-a373-6b4614d973cd · outbound

This paper cites Tensor Programs III: Neural Matrix Laws.

SETOL: A Semi-Empirical Theory of (Deep) Learning Tensor Programs III: Neural Matrix Laws

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.065440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bcf9103-f069-47e1-8b17-6cccb97183d1 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.068776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b95d904-5c6f-4250-8687-7220b944b8fd · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.071685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4f4524-7fbd-4d7f-9050-50eec9cafffc · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.074687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4454a4-00b4-41b0-b764-f114a566aad8 · outbound

This paper cites Bryngelson and Peter G.

SETOL: A Semi-Empirical Theory of (Deep) Learning Bryngelson and Peter G

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.077096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13b6ae5-7ef3-4b75-bd11-fdb53f33220e · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.079854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b27a2ab-75d8-4c03-a551-1f93094b3622 · outbound

This paper cites Clauset, C.

SETOL: A Semi-Empirical Theory of (Deep) Learning Clauset, C

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.082278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24edc05c-e1e2-46ab-9968-757a84471616 · outbound

This paper cites Alstott, E.

SETOL: A Semi-Empirical Theory of (Deep) Learning Alstott, E

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.084598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9d3aaf-3bf9-4c6d-ae0e-8a0a26e498d3 · outbound

This paper cites Random matrix analysis of deep neural network weight matrices.Physical Review E, 106(5):054124, 2022.

SETOL: A Semi-Empirical Theory of (Deep) Learning Random matrix analysis of deep neural network weight matrices.Physical Review E, 106(5):054124, 2022

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.086953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e25506a-d8f9-4500-b71a-12a91cb0db49 · outbound

This paper cites Bouchaud and M.

SETOL: A Semi-Empirical Theory of (Deep) Learning Bouchaud and M

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.089313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a613e847-7fcc-41b1-8388-d3b2239292d2 · outbound

This paper cites Edelman and Y.

SETOL: A Semi-Empirical Theory of (Deep) Learning Edelman and Y

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.091867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb31549e-fc50-410a-8aa8-5811f0205533 · outbound

This paper cites Cambridge University Press, 2020.

SETOL: A Semi-Empirical Theory of (Deep) Learning Cambridge University Press, 2020

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.094509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50e7bfe7-9e37-431f-b619-7e3d59123937 · outbound

This paper cites Learning spectral clustering, with application to speech separation.

SETOL: A Semi-Empirical Theory of (Deep) Learning Learning spectral clustering, with application to speech separation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.096957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f4d436-48a7-4467-8cfb-722e32c6771d · outbound

This paper cites The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices.Advances in Mathematics, 227(1):494–521, 2011.

SETOL: A Semi-Empirical Theory of (Deep) Learning The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices.Advances in Mathematics, 227(1):494–521, 2011

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.099308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586bdfb9-08a5-4e38-a7fc-07cd226a6aab · outbound

This paper cites Oxford University Press, Oxford, UK, 1997.

SETOL: A Semi-Empirical Theory of (Deep) Learning Oxford University Press, Oxford, UK, 1997

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:21.033308Z

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.

Observation 8a8a5497-e4f1-4fc9-b5bf-fc606d4a44db · outbound

This paper cites Sornette.

SETOL: A Semi-Empirical Theory of (Deep) Learning Sornette

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:21.024173Z

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.

Observation a39515f4-fe53-4467-b3d1-988461db4ee7 · outbound

This paper cites Noisedressingoffinancialcorrelationmatrices.

SETOL: A Semi-Empirical Theory of (Deep) Learning Noisedressingoffinancialcorrelationmatrices

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:21.015958Z

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.

Observation 264fa764-4a56-4bfd-b3fe-d41b3fc11959 · outbound

This paper cites Laloux, P.

SETOL: A Semi-Empirical Theory of (Deep) Learning Laloux, P

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:21.007492Z

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.

Observation 11e345e0-1ca1-497c-828d-24c5a568a635 · outbound

This paper cites Taxonomizing local versus global structure in neural network loss landscapes.

SETOL: A Semi-Empirical Theory of (Deep) Learning Taxonomizing local versus global structure in neural network loss landscapes

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:45:20.513879Z

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.

Observation 73cdb024-2bcd-4ca9-a7c3-34f95977c62d · outbound

This paper cites Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks.

SETOL: A Semi-Empirical Theory of (Deep) Learning Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.114139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbda80ad-d532-45e3-ba3e-4766d5ed78c2 · outbound

This paper cites Sompolinsky, N.

SETOL: A Semi-Empirical Theory of (Deep) Learning Sompolinsky, N

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.998431Z

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.

Observation 412a5e0d-2a70-4910-aaec-f3ed904dcaef · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.990741Z

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.

Observation 68a868e0-a2e8-4af6-9ef0-0b2dc6c4cdbe · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.982928Z

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.

Observation acfc2067-bdbd-456e-a484-71a3499fa42e · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.975046Z

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.

Observation 0c4eb063-e22e-4667-856f-078d7b000ad0 · outbound

This paper cites Dragon-kings, black swans and the prediction of crises, 2009.

SETOL: A Semi-Empirical Theory of (Deep) Learning Dragon-kings, black swans and the prediction of crises, 2009

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.967259Z

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.

Observation 732a57b7-ec68-467a-93f7-8c9348347a2c · outbound

This paper cites The Heavy-Tail Phenomenon in SGD.

SETOL: A Semi-Empirical Theory of (Deep) Learning The Heavy-Tail Phenomenon in SGD

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.130836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b40d64-1369-4435-9986-d816d750f9d6 · outbound

This paper cites Nice: Noise injection and clamping estimation for neural network quantization.Mathematics, 9(17):2144, 2021.

SETOL: A Semi-Empirical Theory of (Deep) Learning Nice: Noise injection and clamping estimation for neural network quantization.Mathematics, 9(17):2144, 2021

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.133626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf29405-ebb6-4dce-94fc-b5e7347a9d47 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

SETOL: A Semi-Empirical Theory of (Deep) Learning PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.136533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bea8a30-f1af-415c-8633-5da0e2bc1bd8 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.953556Z

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.

Observation ca600568-16c9-4d50-9517-737bc706ca9f · outbound

This paper cites Engel, C.

SETOL: A Semi-Empirical Theory of (Deep) Learning Engel, C

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.946013Z

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.

Observation 78b2cdaf-df16-49a4-ba4c-dc512919c73f · outbound

This paper cites Spin-glass models of neural networks.

SETOL: A Semi-Empirical Theory of (Deep) Learning Spin-glass models of neural networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.938272Z

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.

Observation 1f21dec4-c752-4cbe-bc26-5d6f8155f21d · outbound

This paper cites Martin and Karl F.

SETOL: A Semi-Empirical Theory of (Deep) Learning Martin and Karl F

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.930457Z

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.

Observation afb8b973-1605-4a2b-81d1-b968ad0efbe9 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.922179Z

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.

Observation 0b718813-c617-426e-a2be-953605dc93d0 · outbound

This paper cites Parisi and M.

SETOL: A Semi-Empirical Theory of (Deep) Learning Parisi and M

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.914386Z

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.

Observation 89432170-7e74-41ea-8da4-569c7984f32d · outbound

This paper cites Training Compute-Optimal Large Language Models.

SETOL: A Semi-Empirical Theory of (Deep) Learning Training Compute-Optimal Large Language Models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.158379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2255ed7-13bf-4a0d-a204-d7679aa664d0 · outbound

This paper cites an unresolved cited work.

SETOL: A Semi-Empirical Theory of (Deep) Learning Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:45:20.906200Z

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.

Observation bbbce530-0728-4de1-a2d8-1dfe419428fe · outbound

This paper cites Teacher-student architecture for knowledge distillation: A survey, 2023.

SETOL: A Semi-Empirical Theory of (Deep) Learning Teacher-student architecture for knowledge distillation: A survey, 2023

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.897892Z

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.

Observation ccfa045d-0a7a-4eae-8a82-7ba39c71aaf3 · outbound

This paper cites Vallet, J.-G.

SETOL: A Semi-Empirical Theory of (Deep) Learning Vallet, J.-G

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.889555Z

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.

Observation 4980da65-f130-4ad1-a403-509838d2bc0e · outbound

This paper cites Opper and W.

SETOL: A Semi-Empirical Theory of (Deep) Learning Opper and W

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:45:20.881292Z

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.

Pith citing papers

Observation 72cb16c0-a1f1-4347-84bc-3523ced7367d · inbound

Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory cites this paper.

Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:27:18.413548Z

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.

Observation a3827298-11fd-4c51-a6b1-7e11dd4469e6 · inbound

Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory cites this paper.

Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:35:04.252983Z

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.

Observation d3230d6e-cf54-4dc8-a7e8-4b19bf292f4c · inbound

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis cites this paper.

Characterizing Learning in Deep Neural Networks using Tractable Algorithmic Complexity Analysis SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 298

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:29:00.035235Z

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.

Observation ff1b2549-9f1f-4014-9568-60e1c3c80ce9 · inbound

Fast Generalization after Interpolation via Critically Damped Momentum Optimization cites this paper.

Fast Generalization after Interpolation via Critically Damped Momentum Optimization SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T21:56:16.189925Z

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.

Observation 35c31516-5a2d-4152-951b-d1a54d05aa01 · inbound

Patnaik-Pearson intrinsic dimension for internal representations of neural networks cites this paper.

Patnaik-Pearson intrinsic dimension for internal representations of neural networks SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:59:25.686745Z

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.

Observation 1e2ab913-6ec1-464f-ac2c-69eff9486ca9 · inbound

Patnaik-Pearson intrinsic dimension for internal representations of neural networks cites this paper.

Patnaik-Pearson intrinsic dimension for internal representations of neural networks SETOL: A Semi-Empirical Theory of (Deep) Learning

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:49:02.147665Z

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.