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Paper Citation Record · LEDGER

Solving two and three-body systems with deep neural networks

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.17559.

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

pith.paper-citation-record.v1
2507.17559 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:52:50.867853Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T11:45:19.610789Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:47:45.133464Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 30929a18-e9e7-4033-8b7a-d2692a18c1d3 · outbound

This paper cites The en- ergy of the states is given by, E = ℏω n + 3 2 (29) with n = 2q + ℓ for q = 0, 1, 2,.

Solving two and three-body systems with deep neural networks The en- ergy of the states is given by, E = ℏω n + 3 2 (29) with n = 2q + ℓ for q = 0, 1, 2,

Reference 1

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Observation 81c9fca8-47df-4717-8ff0-f09370679bfa · outbound

This paper cites The deuteron consists of a proton and a neu- tron and is the simplest two-nucleon bound state system.

Solving two and three-body systems with deep neural networks The deuteron consists of a proton and a neu- tron and is the simplest two-nucleon bound state system

Reference 2

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Observation fa51c4de-2661-4aa6-a083-6e99906de41a · outbound

This paper cites Then, the Schr¨ odinger equation of Eq.

Solving two and three-body systems with deep neural networks Then, the Schr¨ odinger equation of Eq

Reference 3

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Observation ad026613-7749-4575-ba80-6c6bf6bf850a · outbound

This paper cites Las nuevas tecnolog ´ ıas: com- putaci´ on cu´ antica y aprendizaje autom´ atico para estu- diar las interacciones fundamentales y sus aplicaciones a la f ´ ısica m´ edica.

Solving two and three-body systems with deep neural networks Las nuevas tecnolog ´ ıas: com- putaci´ on cu´ antica y aprendizaje autom´ atico para estu- diar las interacciones fundamentales y sus aplicaciones a la f ´ ısica m´ edica

Reference 4

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Observation a58d997e-4727-4145-8c4f-c99c52a58dc3 · outbound

This paper cites Kamimura, Phys.

Solving two and three-body systems with deep neural networks Kamimura, Phys

Reference 5

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Observation dd95f1a3-3559-47db-a73c-b5cfeee0954c · outbound

This paper cites Kameyama, M.

Solving two and three-body systems with deep neural networks Kameyama, M

Reference 6

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Observation 21905e15-1445-486d-a339-f09e67ff6352 · outbound

This paper cites Hiyama, Y.

Solving two and three-body systems with deep neural networks Hiyama, Y

Reference 7

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Observation 3b3b2fc6-7463-4539-b5e2-2008891c2aad · outbound

This paper cites Hiyama, Few Body Syst.

Solving two and three-body systems with deep neural networks Hiyama, Few Body Syst

Reference 8

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Observation f215d6b7-2bdd-45a6-a0f1-3cc49634b057 · outbound

This paper cites Hiyama, PTEP 2012, 01A204 (2012).

Solving two and three-body systems with deep neural networks Hiyama, PTEP 2012, 01A204 (2012)

Reference 9

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Observation 5e8edf2f-fae9-4454-8768-fbe4e6c38521 · outbound

This paper cites Hohenberg and W.

Solving two and three-body systems with deep neural networks Hohenberg and W

Reference 10

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Observation 69a1c061-3621-4152-8a48-3feaf3fd2f49 · outbound

This paper cites Quantum Chemistry in the Age of Quantum Computing.

Solving two and three-body systems with deep neural networks Quantum Chemistry in the Age of Quantum Computing

Reference 11

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Observation 9461db5c-8e36-433f-babf-a59ea5b4b3da · outbound

This paper cites Kirkpatrick et al.

Solving two and three-body systems with deep neural networks Kirkpatrick et al

Reference 12

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 13

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Observation 21b9e343-8a64-4884-897c-5bfb397eaf0e · outbound

This paper cites Ceperley, G.

Solving two and three-body systems with deep neural networks Ceperley, G

Reference 14

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 15

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Observation e433d695-4185-4ab8-9ca5-471b25cfe1f2 · outbound

This paper cites von der Linden, Physics Reports 220, 53 (1992).

Solving two and three-body systems with deep neural networks von der Linden, Physics Reports 220, 53 (1992)

Reference 16

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 17

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 18

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Observation daba2f20-588b-4ae0-b20b-fd54b19a5bff · outbound

This paper cites Dunjko and H.

Solving two and three-body systems with deep neural networks Dunjko and H

Reference 19

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Observation 37ea28a8-921a-4a1e-84f7-f59a4c4cd024 · outbound

This paper cites A high-bias, low-variance introduction to Machine Learning for physicists.

Solving two and three-body systems with deep neural networks A high-bias, low-variance introduction to Machine Learning for physicists

Reference 20

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Solving two and three-body systems with deep neural networks Machine learning and the physical sciences

Reference 21

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This paper cites Multi-body wave function of ground and low-lying excited states using unornamented deep neural networks.

Solving two and three-body systems with deep neural networks Multi-body wave function of ground and low-lying excited states using unornamented deep neural networks

Reference 22

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Observation 4b1418a3-d559-478a-bc5d-0ff8661b9540 · outbound

This paper cites A neural network approach for two-body systems with spin and isospin degrees of freedom.

Solving two and three-body systems with deep neural networks A neural network approach for two-body systems with spin and isospin degrees of freedom

Reference 23

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Solving two and three-body systems with deep neural networks Unresolved cited work

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Solving two and three-body systems with deep neural networks Machine learning the deuteron

Reference 25

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Solving two and three-body systems with deep neural networks Cybenko, Math

Reference 26

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Solving two and three-body systems with deep neural networks Hornik, Neural Networks 4, 251 (1991)

Reference 27

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 28

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 29

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Solving two and three-body systems with deep neural networks TensorFlow: Large- scale machine learning on heterogeneous systems,

Reference 30

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Observation d5b390b9-4d66-4b01-b27b-e2b3ab4399da · outbound

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Solving two and three-body systems with deep neural networks Adam: A Method for Stochastic Optimization

Reference 31

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 32

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 33

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Observation 458c4b04-4647-4df3-812f-d89a5c59ff63 · outbound

This paper cites Accurate Charge-Dependent Nucleon-Nucleon Potential at Fourth Order of Chiral Perturbation Theory.

Solving two and three-body systems with deep neural networks Accurate Charge-Dependent Nucleon-Nucleon Potential at Fourth Order of Chiral Perturbation Theory

Reference 34

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Observation ee8cec8e-5466-435f-997c-c4c073dad93e · outbound

This paper cites Chiral 2pi exchange at order four and peripheral NN scattering.

Solving two and three-body systems with deep neural networks Chiral 2pi exchange at order four and peripheral NN scattering

Reference 35

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Observation 4fcb5fe1-b6fd-4e14-8487-a9a745e331b7 · outbound

This paper cites Local position-space two-nucleon potentials from leading to fourth order of chiral effective field theory.

Solving two and three-body systems with deep neural networks Local position-space two-nucleon potentials from leading to fourth order of chiral effective field theory

Reference 36

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 02d74628-d4b6-4e54-be3c-4151e70b6814 · outbound

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Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:51.352141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.830192Z digest=sha256:143c1112deb36dbea4e004e5ceb403c00ca95d7581df806342fa59be21450e40

Observation cb01aab3-f64b-4366-978d-6f49a96d776c · outbound

This paper cites Dumbrajs, R.

Solving two and three-body systems with deep neural networks Dumbrajs, R

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.334335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.834309Z digest=sha256:67a418ccc43995f60e6fcb978a7526f3e06409875ac69da34072d450251887b1

Observation 9c137cb9-ac74-451c-878e-19ffd8746312 · outbound

This paper cites Van Der Leun and C.

Solving two and three-body systems with deep neural networks Van Der Leun and C

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.320096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.838939Z digest=sha256:cb82142ae59836947f19695a391651351b378db0e3c3aa2f5995fa8b5dd7b0a8

Observation 169401e9-541e-4632-984b-ac7b9fc034e2 · outbound

This paper cites Martorell, D.

Solving two and three-body systems with deep neural networks Martorell, D

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.301792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.843076Z digest=sha256:98e95c86983ce66b885faab3f98b132cf85590317acf9775f568905bea5e2d39

Observation 863f1ffe-ee9c-4dad-9ec7-bbe53d246b0f · outbound

This paper cites an unresolved cited work.

Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:51.284839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.847080Z digest=sha256:19377b03230ce249d5772ec71642b748afc3702eb2624e22f8a83204c003dbe0

Observation b56521ef-fae6-4f9f-891a-2265822bb706 · outbound

This paper cites Horie and K.

Solving two and three-body systems with deep neural networks Horie and K

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.269943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.851097Z digest=sha256:0714da903e667caf1eaf90722ab419b30ea7014540a10b687c24e3ae47326841

Observation 641e3276-ba01-48fb-a4f5-2faeb76df431 · outbound

This paper cites Umeya and K.

Solving two and three-body systems with deep neural networks Umeya and K

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.255763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.855421Z digest=sha256:9e471d71425bb84a6a7eed470c8d59f24f9c25c4a985f9aa38118396d1874239

Observation 26e35cd1-d43e-4ffe-a39c-241e65a69296 · outbound

This paper cites an unresolved cited work.

Solving two and three-body systems with deep neural networks Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:52:51.241174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.859631Z digest=sha256:2adb4e7544ba2654afd306bec3a8b35f372241d2a59e27f86d381588008f3b84

Observation 2ed7df5b-740e-43d2-90b8-da643869523c · outbound

This paper cites Mehrem, J.

Solving two and three-body systems with deep neural networks Mehrem, J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:52:51.225630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.863736Z digest=sha256:a146207847be9d3a5f203153170490eefb12db1bff14bf603f9dff2a94ca7bb1

Observation d9341948-6cc9-4153-b625-c6d08c8d0e56 · outbound

This paper cites A Generalisation For The Infinite Integral Over Three Spherical Bessel Functions.

Solving two and three-body systems with deep neural networks A Generalisation For The Infinite Integral Over Three Spherical Bessel Functions

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:52:50.927220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T14:52:50.867853Z digest=sha256:112334609c554521d6c4d0a7dc7c8a76e9052e93e0c2d38ed1da02ffd1972354

Pith citing papers

Observation 04443a9e-1074-4b61-8e89-8190df6a86d6 · inbound

Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit cites this paper.

Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit Solving two and three-body systems with deep neural networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:47:45.134768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T11:45:19.610789Z digest=sha256:436cb311d22393628c77135f9ed41b55f5f604668c49cb5ba713c3b4050d45a5