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Paper Citation Record · LEDGER

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2605.27568.

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

pith.paper-citation-record.v1
2605.27568 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T15:32:58.271444Z

measured 44 of 44 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy0
  • unresolved41
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 85a3a5b7-87a7-4546-a90e-0fcf269360fe · outbound

This paper cites Cybenko, Approximation by superpositions of a sigmoidal function, Math.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Cybenko, Approximation by superpositions of a sigmoidal function, Math

Reference 1

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Observation ba64c09e-2512-48d8-ae32-2b0dc03031ca · outbound

This paper cites Hornik, Approximation capabilities of multilayer feedforward networks, Neural Networks4, 251 (1991).

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Hornik, Approximation capabilities of multilayer feedforward networks, Neural Networks4, 251 (1991)

Reference 2

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Observation 0a6bfe48-d0be-4cbb-95ae-c434dda38486 · outbound

This paper cites Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain, Psychol.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain, Psychol

Reference 3

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Observation 4a5bff25-9fc7-400c-aa87-126133279813 · outbound

This paper cites an unresolved cited work.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 4

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Observation 9bc56907-93b3-416c-b1fb-ea34d6533145 · outbound

This paper cites LeCun, Y.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory LeCun, Y

Reference 5

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Observation 75abf352-2e9c-471d-bce5-e538639ee446 · outbound

This paper cites Goodfellow, Y.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Goodfellow, Y

Reference 6

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Observation d09f739b-a9ba-41cf-8fe4-ba40a81810d7 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 7

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Observation 5cc7917d-6453-4171-8a2f-03e650fd8c65 · outbound

This paper cites Jacot, F.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Jacot, F

Reference 8

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Observation df610660-0b5d-4708-ab0f-9b8612f13366 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 9

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Observation 73ae7cc9-7b3b-4916-9878-1177c80e5e69 · outbound

This paper cites Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks

Reference 10

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Observation 9ea69b9c-84a0-470b-bc65-7ea2caf4cda2 · outbound

This paper cites An exact mapping between the Variational Renormalization Group and Deep Learning.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory An exact mapping between the Variational Renormalization Group and Deep Learning

Reference 11

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Observation 05aa2645-de8f-46d0-b367-44707401ee7f · outbound

This paper cites Raissi, P.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Raissi, P

Reference 12

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Observation 9fb7669d-8be6-4980-bd1e-564247692e68 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 13

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Observation 67bb2e2f-b663-4c4f-a5dc-5db8483fd2b8 · outbound

This paper cites Rajaraman,Solitons and Instantons(North-Holland, Amsterdam, 1982).

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Rajaraman,Solitons and Instantons(North-Holland, Amsterdam, 1982)

Reference 14

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Observation d3eb1e60-f4a4-4b91-a3c4-6b5fab7d755c · outbound

This paper cites Manton and P.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Manton and P

Reference 15

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Observation dcffc30b-22ea-404a-bf39-bad064029db9 · outbound

This paper cites Vachaspati,Kinks and Domain Walls: An Introduction to Classical and Quantum Solitons(Cambridge University Press, Cambridge, 2006).

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Vachaspati,Kinks and Domain Walls: An Introduction to Classical and Quantum Solitons(Cambridge University Press, Cambridge, 2006)

Reference 16

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Observation e659e62e-773d-4e20-90e2-c3d4db7c1d02 · outbound

This paper cites Shifman,Advanced Topics in Quantum Field Theory(Cambridge University Press, Cambridge, 2012).

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Shifman,Advanced Topics in Quantum Field Theory(Cambridge University Press, Cambridge, 2012)

Reference 17

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Observation 1aefe35f-0aae-4d3a-8b7b-394b299c0699 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 18

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Observation 26f7c1a8-576d-4207-af2a-5ccd60a0a164 · outbound

This paper cites Dauxois and M.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Dauxois and M

Reference 19

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Observation a6f7c236-8aff-42e9-b65d-b29314ec1423 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 20

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Observation 102776c7-d6fe-42d3-97f5-77bcd4a89621 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 21

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Observation 0d3e917a-fce4-4177-a6c9-8054199c4ef3 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 22

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Observation 8af955bb-cdae-47a1-ae8b-ecc4d4792240 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation b3c9cf35-c5d8-4ca1-b348-cae14096d82d · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation 1f12fa6b-7fa6-43be-aba5-20c677dcec22 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation 33a6e7c6-a5ef-4406-9ca4-daaf554c6542 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation bc8c9391-47a7-4ad8-b3c7-97b64d96cc8e · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation e9e0dd58-0efb-4cb4-ac13-674f6f2c11b2 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation 2c5b6bed-898f-4544-a389-7b11327d6961 · outbound

This paper cites Deep learning and the renormalization group.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Deep learning and the renormalization group

Reference 29

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Observation 51836261-b087-4367-bd7c-11e4b8b89325 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation c40c6567-e7f5-423c-8fd7-1ad7af35577a · outbound

This paper cites Haber and L.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Haber and L

Reference 31

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Observation 19a8e7ca-68e7-44d2-bb43-e80fdcbc910c · outbound

This paper cites Ruthotto and E.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Ruthotto and E

Reference 32

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Observation 6bbd8abe-5cdd-4caf-b25e-2dc8f1dbd0b1 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

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Observation 280210cf-6efe-412e-969e-f0e73716ebaa · outbound

This paper cites Bazeia, L.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Bazeia, L

Reference 34

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Observation c80c1505-8516-4a24-9d65-bae169bb8a58 · outbound

This paper cites Gleiser, Pseudostable bubbles, Phys.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Gleiser, Pseudostable bubbles, Phys

Reference 35

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Observation ac262201-6b2f-4508-8415-b1a0a241f443 · outbound

This paper cites Amari, Natural gradient works efficiently in learning, Neural Comput.10, 251 (1998).

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Amari, Natural gradient works efficiently in learning, Neural Comput.10, 251 (1998)

Reference 36

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Observation ddad48ed-5ae2-4f29-aff6-7c6acd33cb51 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 37

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Observation d24e4c87-f3d0-4655-97d0-45930ebabfa2 · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 38

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Observation 9141c194-361b-4465-bf5e-03ea7f0f7bac · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 39

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Observation 6cbfb6da-c709-4e5a-810c-2bedd4d743fe · outbound

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Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 40

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Observation f53247ba-e613-4971-bb86-5607af149882 · outbound

This paper cites Flach and C.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Flach and C

Reference 41

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Observation 21c0d55b-7ef5-4c34-989f-2df09356fa20 · outbound

This paper cites an unresolved cited work.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 42

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Observation 4b081527-afb8-44f0-9418-bcd1fdb17105 · outbound

This paper cites Poole, S.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Poole, S

Reference 43

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no resolver link, observed 2026-06-29T15:32:58.271444Z

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Observation 330a5bb4-28ab-40c4-8cbd-383caa5ffea5 · outbound

This paper cites an unresolved cited work.

Solitonic Construction of Artificial Neural Networks from Nonlinear Field Theory Unresolved cited work

Reference 44

Resolution
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no resolver link, observed 2026-06-29T15:32:58.271444Z

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