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Paper Citation Record · LEDGER

Canonical quantization of neurons

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2607.05000.

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

pith.paper-citation-record.v1
2607.05000 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T10:17:59.907312Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:53:42.540263Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T00:53:43.376526Z

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 18724e5d-9414-40bc-a1e5-d7e45168a023 · outbound

This paper cites Cohen-Tannoudji, B.

Canonical quantization of neurons Cohen-Tannoudji, B

Reference 1

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Observation b9d7b828-bda7-42e3-9814-a892f61ab3bb · outbound

This paper cites Cohen-Tannoudji, B.

Canonical quantization of neurons Cohen-Tannoudji, B

Reference 2

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Observation 4dee92e7-ea96-443e-8ef4-01edd7510bb1 · outbound

This paper cites Cohen-Tannoudji, B.

Canonical quantization of neurons Cohen-Tannoudji, B

Reference 3

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Observation 218f79b6-82c4-4a16-8bc2-ebc675e29ee8 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 4

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Observation 421c4869-e5b7-46ce-abb9-3dbfbacb71d9 · outbound

This paper cites Gisin and R.

Canonical quantization of neurons Gisin and R

Reference 5

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:4f30e4918831f3f523463b975ea26ff691f13b6b263ba9007ba0a962e0dfd660

Observation d476b9e3-59d3-48c7-8b7f-e54d3e91ca64 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:c2910bcbebdc6de33375d2800ab6a1e00feb5d1971767f9ff1733c1f35a935bf

Observation f3bca463-0a91-4a10-8e3c-564935bc2fc8 · outbound

This paper cites Shankar,Principles of Quantum Mechanics(Springer, 1994).

Canonical quantization of neurons Shankar,Principles of Quantum Mechanics(Springer, 1994)

Reference 7

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Observation 698f270e-578e-4b79-881e-0e820dfd4dc3 · outbound

This paper cites Quantum Perceptron Models.

Canonical quantization of neurons Quantum Perceptron Models

Reference 8

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Observation 9570670f-8f61-40e0-a499-affcffcd4336 · outbound

This paper cites Quantum Neuron: an elementary building block for machine learning on quantum computers.

Canonical quantization of neurons Quantum Neuron: an elementary building block for machine learning on quantum computers

Reference 9

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:00a9d39c44b1c12ebe953ca43876f2ec69a7913fc5a0fe3a806dc8b84aa80153

Observation e5941129-3270-4b04-99b6-128c2f3a9903 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:84e7c399fd18bc1f1d1c8b02d24c207043912e464613a9d39e3435b8bd87512d

Observation b7d97cbb-be27-4064-a6f3-72f8d987449b · outbound

This paper cites Hu, Towards a real quantum neuron, Natural Science 10, 99 (2018).

Canonical quantization of neurons Hu, Towards a real quantum neuron, Natural Science 10, 99 (2018)

Reference 11

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:018efd798b24598485b9bc9b9d7bf81af8bd3b4e0dea354465ec783f02ead3a0

Observation 0a36e684-94db-4a00-bfd9-c42211b255c0 · outbound

This paper cites Killoran, T.

Canonical quantization of neurons Killoran, T

Reference 12

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Observation 616a7a38-f8e0-414e-af2f-22591a7620bf · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:d705c9dbf91a7ed9ec22052a6372bfa759acdad80bdcfdbf47917acc372138b3

Observation 82619a66-bfd2-48ca-9247-38e8034b28ad · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 14

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Observation 8bfa1593-cd2b-4bfa-aabc-2e2bec3aeb74 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 15

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Observation 683bdd3f-35a4-4f3e-9e6b-46f3e6d85d3c · outbound

This paper cites Singh, A.

Canonical quantization of neurons Singh, A

Reference 16

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Observation 7866e4ec-c067-43d6-97e9-8108ed0ba856 · outbound

This paper cites Natural Quantization of Neural Networks.

Canonical quantization of neurons Natural Quantization of Neural Networks

Reference 17

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Observation 337d482c-de0d-4b66-9c3f-b836a93ad68d · outbound

This paper cites Lloyd, Quantum optical classifier with superexponential speedup, Communications Physics 8, 147 (2025).

Canonical quantization of neurons Lloyd, Quantum optical classifier with superexponential speedup, Communications Physics 8, 147 (2025)

Reference 18

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Observation 2057ef7d-fe32-4edf-8a0f-64ebcd9fc59d · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 19

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Observation 3a78344f-2c3e-4ab1-91e2-c0236310a1ad · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 20

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Observation 343effa6-6ffa-4c69-9579-9bbe0fd3de6f · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 21

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Observation f5be3ebe-1df6-44e8-bf55-b13cd1051d2d · outbound

This paper cites Benedetti, J.

Canonical quantization of neurons Benedetti, J

Reference 22

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Observation 1f60b896-6f9f-455a-a645-0487a2fbe06f · outbound

This paper cites Tomography and Generative Data Modeling via Quantum Boltzmann Training.

Canonical quantization of neurons Tomography and Generative Data Modeling via Quantum Boltzmann Training

Reference 23

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Observation 0af24bca-aa2d-4a26-8cb5-0ccd3b0b0458 · outbound

This paper cites Liu and M.

Canonical quantization of neurons Liu and M

Reference 24

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Observation 7316b2a6-e1a7-426b-9f09-679e474aeee5 · outbound

This paper cites Cleve, A.

Canonical quantization of neurons Cleve, A

Reference 25

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Observation d1c75b19-0679-44c7-a485-108eda2a8361 · outbound

This paper cites Lloyd, Universal quantum simulators, Science273, 1073 (1996).

Canonical quantization of neurons Lloyd, Universal quantum simulators, Science273, 1073 (1996)

Reference 26

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Observation 40de0537-0d4c-4bf3-a2ab-86a4e13551d6 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 27

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Observation 7ea5a41e-2b18-4304-85ec-38a69a83cbe4 · outbound

This paper cites Patel, D.

Canonical quantization of neurons Patel, D

Reference 28

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Observation 0ac3fe32-9b47-4abd-9d1e-e5da5478ea1b · outbound

This paper cites Patel and M.

Canonical quantization of neurons Patel and M

Reference 29

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Observation 3b28920a-c223-4827-b83b-23ada01fde9b · outbound

This paper cites Fermi-Dirac machines as quantizations of neurons.

Canonical quantization of neurons Fermi-Dirac machines as quantizations of neurons

Reference 30

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Observation 9c4f072b-d82c-4b0f-a8d6-22ba2ff4e991 · outbound

This paper cites Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain, Psychological Review65, 386 (1958).

Canonical quantization of neurons Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain, Psychological Review65, 386 (1958)

Reference 31

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Observation 07cd8dee-57c5-4dc4-a1f7-520611dec8f4 · outbound

This paper cites Sachdev,Quantum Phase Transitions, 2nd ed.

Canonical quantization of neurons Sachdev,Quantum Phase Transitions, 2nd ed

Reference 32

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Observation d598aace-b5d3-469f-b447-a3ec413467ef · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 33

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source=pdf_text observed=2026-07-11T10:17:59.907312Z digest=sha256:6940c9bd4d1accb38eb8a9c35e7372b3ef41f2ce7b46b0ed9262f2b88305aae4

Observation 3545e4b4-e8c6-42fe-81f6-7719a2e0dc2b · outbound

This paper cites Quantum Heisenberg models and their probabilistic representations.

Canonical quantization of neurons Quantum Heisenberg models and their probabilistic representations

Reference 34

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Observation bd383546-8580-4b4d-9be8-8dce87064303 · outbound

This paper cites Quantum measurements and the Abelian Stabilizer Problem.

Canonical quantization of neurons Quantum measurements and the Abelian Stabilizer Problem

Reference 35

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Observation 65f913f5-cbcf-40b8-89ee-26682c20dbcd · outbound

This paper cites Hoeffding, Probability inequalities for sums of bounded random variables, Journal of the American Statistical Association58, 13 (1963).

Canonical quantization of neurons Hoeffding, Probability inequalities for sums of bounded random variables, Journal of the American Statistical Association58, 13 (1963)

Reference 36

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Observation fcdc2d73-aac7-488a-9b18-18ed9d09b8b6 · outbound

This paper cites an unresolved cited work.

Canonical quantization of neurons Unresolved cited work

Reference 37

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Observation 4c417454-7f31-42fd-8985-555e0625e6e4 · outbound

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Canonical quantization of neurons Unresolved cited work

Reference 38

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Observation 3c4c019c-7f77-440d-85c4-e81a0a5a04e2 · outbound

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Canonical quantization of neurons Unresolved cited work

Reference 39

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Observation d1d459d3-52fa-4464-a108-c2f2820b7f92 · outbound

This paper cites Larocca, S.

Canonical quantization of neurons Larocca, S

Reference 40

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Pith citing papers

Observation d9284e1c-16a0-4dba-9bda-28a02d372c41 · inbound

Unifying quantum measurement constructions via a relative-entropy minimum change principle cites this paper.

Unifying quantum measurement constructions via a relative-entropy minimum change principle Canonical quantization of neurons

Reference 35

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local_arxiv, observed 2026-08-08T00:53:43.381314Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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