Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-06T14:45:19.907324Z digest=sha256:3ee2c4e1ac7a246b254f7088c93ff79bf13af43384e2660236b84886d6439063

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.

source=pdf_text observed=2026-08-06T14:45:19.911197Z digest=sha256:159286f27f46c363c6484e2a49ac2756bcc1dc76b828da0a40dee8fef7e232f1

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.

source=pdf_text observed=2026-08-06T14:45:19.914058Z digest=sha256:0d10d1cfcdc66310876fe1973972714703145746c4f965d66884501e7be63577

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.

source=pdf_text observed=2026-08-06T14:45:19.916772Z digest=sha256:180bd365157f5cadac37c6df56a7d263cb1ddac975f5af6de5a90c506aff9d8e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.919382Z digest=sha256:bb46d67613497c4e98b861947823c1490821e4c9d31034b3b5ed9e0fe670ccf0

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.

source=pdf_text observed=2026-08-06T14:45:19.921813Z digest=sha256:8c1c4a96a4e57d665b4d07b003568865379b2f5b0c8abedcf3335682d719f525

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.

source=pdf_text observed=2026-08-06T14:45:19.924516Z digest=sha256:812fac601d6348ad09fa80c815aadfa1d91111ea2ee1b630ac65f95a38a92794

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.

source=pdf_text observed=2026-08-06T14:45:19.926959Z digest=sha256:2f1095831972cf0a96ef1e2a9fecca9e2ffbf319b5c3e0338132a900d52891f2

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.

source=pdf_text observed=2026-08-06T14:45:19.929330Z digest=sha256:fee2a8b2bf9826883e4bd24f7a036980d79456130380dc06caaff05a31b3b1ed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:19.931864Z digest=sha256:77eb2e228a3736d3bc2e2858e1e86e0d4f4081668eb9a22d01498fcd0f505410

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.934543Z digest=sha256:e6149c711351cd1a49d93fe97de5d5582e907018034ac6f425a3f6bd87431381

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.936969Z digest=sha256:2c26cdf14372f044e56711d6891346eba4bbe60bb17bc27358b4c2404bf3f5c6

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.

source=pdf_text observed=2026-08-06T14:45:19.939302Z digest=sha256:f04c0530b8a9185ff59f3d794292805e481d565934e0071ee935d75159747b9d

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.

source=pdf_text observed=2026-08-06T14:45:19.941613Z digest=sha256:7e98ab12276e2b8b41c3c700cdcffb8fe68a9fac3b845b6c6d7be43bb05e2d42

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.944130Z digest=sha256:72401a329ca66bbde5339f756b28e6fa03150783a1c74fce06db90b5300f81f8

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.946456Z digest=sha256:68c94df24a31a66f48b4955802563ed8decf5a56e0bdc4d8d141bf2436dff540

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.948594Z digest=sha256:7e3037fa908ac098c547936f6fe106db24de51e9a4600e5e76aaef3d9eb4009f

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.

source=pdf_text observed=2026-08-06T14:45:19.950963Z digest=sha256:600cf52d7486250fba674aefd0f28989353dfa9a4c3d308dc224363e6c292a39

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.

source=pdf_text observed=2026-08-06T14:45:19.953138Z digest=sha256:24b135dc14886a5df23a920360b6bb7b9f4c7fc2e199ea410fca5fa1be76528d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.955525Z digest=sha256:ff29ccff15abc52680ebd1501bf53c226469880e4a9f4504274f936a6ef4d816

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.

source=pdf_text observed=2026-08-06T14:45:19.957725Z digest=sha256:2f29865d93603f2dd5ddc148dfde3499c7cf6a75def9d15901b6a43a00dfa92b

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.

source=pdf_text observed=2026-08-06T14:45:19.959967Z digest=sha256:e1f4c78b92f08c6f3ce8433e9d529a7049fd45d0213f8a2f663fbc9cd23b63ea

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.

source=pdf_text observed=2026-08-06T14:45:19.962372Z digest=sha256:fb83dadd0d6daf905bb63fcd9689d5f0b192c6f97e7b1054e4655ffe654d6f11

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:19.965056Z digest=sha256:a914216ef5331ee29edbdde953408deb450c306e2cae4072689aa93a3b6697d4

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.

source=pdf_text observed=2026-08-06T14:45:19.967623Z digest=sha256:0ba02119b92d82ef8d8502922a4fe26e087c3ccd4a228f09f3538f83623c82f8

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.

source=pdf_text observed=2026-08-06T14:45:19.970127Z digest=sha256:cac6362b71bdd6f290ac60aed1fb5848695339a66df411b1fb63bed62258aa90

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.972370Z digest=sha256:836ac94a1a1356142eb9419a46505a30cf2ba35c558301188a8f77d7877c19d9

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.

source=pdf_text observed=2026-08-06T14:45:19.975048Z digest=sha256:8d0f5fa937c09e4976456054557a83070859a0d66b80dbd0152a3a7cb4ef6960

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.977421Z digest=sha256:c79e4001b3e52b8c40485bc43dbd4a0c8d8e36118f38c0b0076cbd8b62ddea37

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.

source=pdf_text observed=2026-08-06T14:45:19.979631Z digest=sha256:8d70ebf26a2441ee711c869e0d1505bd3634c0a6d2b9946770e35dc22cbb9fb4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:19.982039Z digest=sha256:0626e69966c41251ff91835c3917124d49f0731c4b74bbe018c7fd4d4b916b29

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.

source=pdf_text observed=2026-08-06T14:45:19.984376Z digest=sha256:cd5116d866c3acee913bc7563ea6654a2af1d0aa2c8916c3861c041f14786867

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.

source=pdf_text observed=2026-08-06T14:45:19.986685Z digest=sha256:da513ad59b055428e5cd9e01755b5bbb06c6aae34111d81bc0f9741e4015e880

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.

source=pdf_text observed=2026-08-06T14:45:19.989213Z digest=sha256:5aa346956325a388c40cd3da4f889f22478d6ac5b9704140988f410cd5431c22

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.

source=pdf_text observed=2026-08-06T14:45:19.991561Z digest=sha256:fa5bb244d320afc54c02104096fe1970085d262143d67bcd2e73329ab1d07e92

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.

source=pdf_text observed=2026-08-06T14:45:19.993908Z digest=sha256:97631c01ed7e6781284fd0dcfbf2d65bc9cf0af6faa701016c2d9392e6fc5415

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.

source=pdf_text observed=2026-08-06T14:45:19.996334Z digest=sha256:caf306bf03ff9ee5d399b76edd8833dc31f374a0c24e107f3251757b32ae571c

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.

source=pdf_text observed=2026-08-06T14:45:19.998605Z digest=sha256:043dde27eb3a5e58173867976ce0355dfd94b5da28028772160145da76228a52

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.000854Z digest=sha256:1435d3c2fb431e62ce9c9eec7c9d98f309f7d645579f61ecf1470b275f64ce5e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.006257Z digest=sha256:9c096f1f6bec9c52f9c0ac7bb18cca73e5477d229cd00b0802a5aedab17d10d3

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.008754Z digest=sha256:9e8d56c74422aed44a54a5249925babe1dee9c5d1339917fc41e0c9f19c42bd0

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.

source=pdf_text observed=2026-08-06T14:45:20.011264Z digest=sha256:b629d5ed3f407366be7fcae8888c8b2a248a8e6f30d463d95639632e5c994891

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.

source=pdf_text observed=2026-08-06T14:45:20.013562Z digest=sha256:5e47633102a0b273c2b2aef8a60c72ba94d0ce54e6ef3698f009c35d3db52c4f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.016043Z digest=sha256:b13e436b57200209a5d5fd0d15d46337e97c5ac8fa9ad5a89fa54fa2692a2f27

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.

source=pdf_text observed=2026-08-06T14:45:20.018774Z digest=sha256:94517130be829ab9b8942752324e3130f9c22bf9fcd87200516e82fea0d0372e

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.

source=pdf_text observed=2026-08-06T14:45:20.021253Z digest=sha256:058deb70e59ea86f64eb4ed88871e54e1006d8920f4860196b358fc6a7753ab0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.023517Z digest=sha256:fd8c7e61f3e393c6bbcec77ddce8f60d96aaae83b6da71a068be5421b356c745

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.026062Z digest=sha256:d90bf3d8a56516dba49d27f31611013719cbda74b1cb3a20e7f4b76433c41ca3

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.

source=pdf_text observed=2026-08-06T14:45:20.028766Z digest=sha256:628a56784007fb76c291c7c486259fb85a8d030797c93bd460aa0ded91dccaf9

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.

source=pdf_text observed=2026-08-06T14:45:20.031480Z digest=sha256:698d7c6b05e686aa81bcd683c3ac9bc175d3a1884101aa72afa60a3b77477515

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.

source=pdf_text observed=2026-08-06T14:45:20.034018Z digest=sha256:cf0a14559b7e3e04b5a63680891a2de56e43e415782be5796abac61c7ea12873

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.036680Z digest=sha256:843e97f581900c920699271e59e2626199ff4ddc8a137108320c02f4143cc506

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.039107Z digest=sha256:5036ec60e2190edc12fd195bb0b4bcad48f3dd40f109b9b68a504f790ac3a69f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.041692Z digest=sha256:0eeaaa9bc3499de1fb2325436955317baa592de04cfcbc260fe3700f65292125

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.044118Z digest=sha256:df37ae78150803dc3f735c54c1cbde64431b0d2681a834820c89cb3e77e837c6

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.

source=pdf_text observed=2026-08-06T14:45:20.047188Z digest=sha256:722545817ffd124b396cf830b317b5abeefa057242949a59b706bc68a1761931

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.

source=pdf_text observed=2026-08-06T14:45:20.050367Z digest=sha256:2456889fdfb4b23ca93af125b44f61fa6e4f34676d3f7e42c03765c4d153f277

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.053086Z digest=sha256:a3de4e78c786c034175171f9061f6b711087dfcf5cf7351b9350b3f31b381f7c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.056173Z digest=sha256:8a35a15b8cb4d39fc79b84c900f37cf106680ed42cb7e7b98af02af1f4f7ba90

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.

source=pdf_text observed=2026-08-06T14:45:20.059307Z digest=sha256:c044aa76685c2c57c853509b47210750aefc7e7c113a633a5f6623196116d7da

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.062070Z digest=sha256:9e29c16a405f6431c3b9132431e2618a12d521df0a570d0c4b1813fb17260e6c

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.

source=pdf_text observed=2026-08-06T14:45:20.065440Z digest=sha256:241183c8dbb9916bd7a33942d60dd3041207119454a82d0f12ebd64ad7b048c2

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.

source=pdf_text observed=2026-08-06T14:45:20.068776Z digest=sha256:10ebe68a9b5ee1ed4b1f38fc524eeed8609a0c8877e590038337eb8439011ceb

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.

source=pdf_text observed=2026-08-06T14:45:20.071685Z digest=sha256:2fc3ba4c487d8a20fa83a3dcae6f8bb503ddcd721673442aa39adfb1bb389bac

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.

source=pdf_text observed=2026-08-06T14:45:20.074687Z digest=sha256:926d8e2925356ce1409135a854d6703ce32e80c2787f1815946b3dff2a4a45a7

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.

source=pdf_text observed=2026-08-06T14:45:20.077096Z digest=sha256:4c519ac3f3c26d87cd9dd178a866b671cc43b3681650578388fce1a69be1924e

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.

source=pdf_text observed=2026-08-06T14:45:20.079854Z digest=sha256:49b2541f0cee91ab2eb54f3427b8e0cdbbc78e3b78741d110a228b940f58a710

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.

source=pdf_text observed=2026-08-06T14:45:20.082278Z digest=sha256:b65398b80e270386c70625b692ed8ff54b1aa928173eeba947853ec4b40e1d03

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.

source=pdf_text observed=2026-08-06T14:45:20.084598Z digest=sha256:89a60a0f5f9170f8b9eca972da4b3e7d1d1a97404f61b5019197ffc52430afc2

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.

source=pdf_text observed=2026-08-06T14:45:20.086953Z digest=sha256:0d97da962c048f3f9babc9ac6017454deef9b54cc6f5578ec534ffbbd394c8ab

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.

source=pdf_text observed=2026-08-06T14:45:20.089313Z digest=sha256:9c984c535b4005eb478f0a16e133e27ffdf8fa2cdf1f00a88229cf00b7ed3bbb

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.

source=pdf_text observed=2026-08-06T14:45:20.091867Z digest=sha256:a9f01a63ee5023c0c28a6ee0f294b508b917237e73fa1c0301ffafbdc29d6372

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.

source=pdf_text observed=2026-08-06T14:45:20.094509Z digest=sha256:d67998fc3add942b18aac9bf6e4facb9a6ca0b7b3a927e9cc4c8d9448aecd726

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.

source=pdf_text observed=2026-08-06T14:45:20.096957Z digest=sha256:44f05f3c29788d000e29c7cfe2e6d88440c83d0ce9117701eb14a5191752686a

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.

source=pdf_text observed=2026-08-06T14:45:20.099308Z digest=sha256:be539552eeb76c08ea8644b4743f2ed2320ab14044337b3ccdf0138bba73fcba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.101762Z digest=sha256:a7e31123132c8e340c16b8767ca5925d1cd1cec4f68f7648e55cc6641426b7f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.104197Z digest=sha256:767c11dfddb6081bf6d5112aa29e84b9c483680eee41d1d0888fa66a824c46f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.106767Z digest=sha256:03c62263f59bef6dfb68bf245290a2155d8340c4f95a5b220842ed34420f2e6f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.108942Z digest=sha256:0f5b61fdb67a01acc4d73e3d624608c1eb58bc759e53624f78baacb659d8bfad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.111313Z digest=sha256:dfe655634b08e83397a827269a58529280990d658cb8bf7950679e176a8bd48d

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.

source=pdf_text observed=2026-08-06T14:45:20.114139Z digest=sha256:cae3a1df859db3a344a527d7af3b94ecbf0488fdd2cbd811c4278d5f4d2e6a88

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.116968Z digest=sha256:0caa56507bd46e7f13c180dd6a7dd73a35c07765a474c65b462bc5ff86092d2b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.119344Z digest=sha256:b25e7d445b52430da002e515ea88fab7e52eca38242b84a1db74a91604805726

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.122033Z digest=sha256:2e2338d565308785fb186d9909772723590cbdffeec028e817b7c1cbccec27f1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.125315Z digest=sha256:7cdb8e4844bb0b7bef3d2377f3b7d81f4c2c2bbc3f8c8921cee5dbdb8314bb42

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.128170Z digest=sha256:8cac840cad5e4dc0109b551cc0267b6a70e2f425252c432e1a8fed10950b37d6

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.

source=pdf_text observed=2026-08-06T14:45:20.130836Z digest=sha256:2b18338623ce6c265dcb88c4e987bc11f965bc32b44fc6341ece2efb3dc10e67

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.

source=pdf_text observed=2026-08-06T14:45:20.133626Z digest=sha256:6fcfa3cb905b693871b8a79485203a35ad781cc17374d86c039d9ae86f5168c7

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.

source=pdf_text observed=2026-08-06T14:45:20.136533Z digest=sha256:4fbd46a9d1811eaeb5046998881b70304feb5116a2a3ad21b320203929878d87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.139281Z digest=sha256:92a86322e4bbcf56a2bdd47920f0600ed8b67daf8f94d44d8579d5cddbc5cdd7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.141910Z digest=sha256:517f786074278bbfaf59654a4e1487051cc2ddffe9d9dea5c7c0660fdc7fd390

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.144782Z digest=sha256:61d0b70003c6db502f2b490646b214f1a4aab9ce7faff7cb2184ed6b287fdc76

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.150330Z digest=sha256:43a83f401dce38b468f9cfe19b2222d3c765758c34b5ddedcac0a6bd62e0d467

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.153033Z digest=sha256:ff8044d2c95e599618c2f5cc27e60bc308fb51bb549184a049c421fd903e5a80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.155418Z digest=sha256:734e28d660f8bb5a30d60a25a8f5f540f013af85c2d339e2575f76c79db7a7f5

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.

source=pdf_text observed=2026-08-06T14:45:20.158379Z digest=sha256:54d567245d307372a67ea06744cfa89158e96d49499e30bfc930162ac890c9f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.160677Z digest=sha256:55cfc30343b966b68d157e88932c8584393333297eca9402923ffe532be3aa0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.163454Z digest=sha256:5d3a8b02870899938f964934db02cb2231e1e1f2350f547d1f0c14890954ffd9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.166498Z digest=sha256:fcea3f5718f0b65473655869b865ead1643f4eba6f0e40411ea0ab4bebabb5c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:45:20.169177Z digest=sha256:fb3b7af90b78bf5a287c1e597ffde610b55fc35611186a4f4f9805abea10614d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:26:59.138667Z digest=sha256:25c63a1c281935f2c15bbec8581e9bd4d028c9913aa2860cba4dc4eead63cb2c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T05:32:21.091094Z digest=sha256:9d3f624bd58e614683a7d4d8edf9703dd5639a00f21885a2a3630500aafe939e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T20:24:16.373261Z digest=sha256:e3e105e446872a83582491c464636681d27e77ff86458ba1436b518842ea11cf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:56:15.199333Z digest=sha256:eb273741bf445b31eb8dff2126f41a3f73d510b75b22f74934746d656c93211d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T18:42:23.506693Z digest=sha256:16708c3b2f165dfecb5a9cf27e3aab211ea8f274d8d62bafc42c7b748ab305b6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T23:41:26.610335Z digest=sha256:576a097ac1264768fb0872f614164364ac43958344ab691557042e7fd4e52912