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Paper Citation Record · LEDGER

GeoHNNs: Geometric Hamiltonian Neural Networks

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2507.15678.

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

pith.paper-citation-record.v1
2507.15678 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:58.354850Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:24:16.084206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
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  • unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72030081-e6fc-414f-be62-061fafe5e2c4 · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ca7b432c-10f7-402c-96d3-712dc8c40295 · outbound

This paper cites Autoencoders, 2021.

GeoHNNs: Geometric Hamiltonian Neural Networks Autoencoders, 2021

Reference 2

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Observation f00ce623-6409-4b15-92ab-253e8b0b25b5 · outbound

This paper cites Battaglia, Jessica B.

GeoHNNs: Geometric Hamiltonian Neural Networks Battaglia, Jessica B

Reference 3

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Observation 3175deaa-2f79-45be-a1c5-e82cc0f20c97 · outbound

This paper cites The proper orthogonal decomposition in the analysis of turbulent flows.

GeoHNNs: Geometric Hamiltonian Neural Networks The proper orthogonal decomposition in the analysis of turbulent flows

Reference 4

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Observation e03c3110-5902-4239-a1ca-46045d93548f · outbound

This paper cites Symplectic model reduction of hamiltonian systems on nonlinear manifolds, 2021.

GeoHNNs: Geometric Hamiltonian Neural Networks Symplectic model reduction of hamiltonian systems on nonlinear manifolds, 2021

Reference 5

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Observation 0d3c6194-187b-4b2a-a5bb-6342e14ce6dd · outbound

This paper cites Model reduction on manifolds: A differential geometric framework, 2024.

GeoHNNs: Geometric Hamiltonian Neural Networks Model reduction on manifolds: A differential geometric framework, 2024

Reference 7

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Observation 73263c95-1549-4f9b-b0ca-6afb438b1ac8 · outbound

This paper cites Riemannian adaptive optimization methods, 2019.

GeoHNNs: Geometric Hamiltonian Neural Networks Riemannian adaptive optimization methods, 2019

Reference 8

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Observation fff7c4e6-3c3e-4815-abc3-146c177f72e7 · outbound

This paper cites Nathan Kutz, and Steven L.

GeoHNNs: Geometric Hamiltonian Neural Networks Nathan Kutz, and Steven L

Reference 9

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Observation 1c80a5e0-e591-4f85-9e96-73275408f2c8 · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 10

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Observation 76248d11-882e-41fa-bd1e-5f78381e2780 · outbound

This paper cites Symplectic recurrent neural networks, 2020.

GeoHNNs: Geometric Hamiltonian Neural Networks Symplectic recurrent neural networks, 2020

Reference 11

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Observation 4e781361-d56f-4b13-82b7-f1353ef2ae3b · outbound

This paper cites Learning generalized hamiltonians using fully symplectic mappings, 2024.

GeoHNNs: Geometric Hamiltonian Neural Networks Learning generalized hamiltonians using fully symplectic mappings, 2024

Reference 12

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Observation ed73bd3b-ad5c-4230-9a79-e9de89e914ed · outbound

This paper cites Lagrangian neural networks, 2020.

GeoHNNs: Geometric Hamiltonian Neural Networks Lagrangian neural networks, 2020

Reference 13

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Observation d5666251-6ade-4a76-a6bf-adc12ee82aca · outbound

This paper cites Hamiltonian reduction using a convolutional auto-encoder coupled to an hamiltonian neural network, 2024.

GeoHNNs: Geometric Hamiltonian Neural Networks Hamiltonian reduction using a convolutional auto-encoder coupled to an hamiltonian neural network, 2024

Reference 14

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 849b2e61-2af2-4777-95cc-7573f66bc13a · outbound

This paper cites Geometries and Interpolations for Symmetric Positive Definite Matrices, pages 85–113.

GeoHNNs: Geometric Hamiltonian Neural Networks Geometries and Interpolations for Symmetric Positive Definite Matrices, pages 85–113

Reference 15

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Observation 47e82f7a-6573-4433-be36-a323a22b0298 · outbound

This paper cites Simplifying hamiltonian and lagrangian neural networks via explicit constraints, 10 2020.

GeoHNNs: Geometric Hamiltonian Neural Networks Simplifying hamiltonian and lagrangian neural networks via explicit constraints, 10 2020

Reference 16

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Observation 31e79712-b3d4-4b62-a1f9-08cda7910208 · outbound

This paper cites Understanding Molecular Simulation: From Algorithms to Applications, volume 1 of Computational Science Series.

GeoHNNs: Geometric Hamiltonian Neural Networks Understanding Molecular Simulation: From Algorithms to Applications, volume 1 of Computational Science Series

Reference 17

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Observation b8f3836b-a45c-4bae-8755-eb8ab0db48c7 · outbound

This paper cites A riemannian framework for learning reduced-order lagrangian dynamics, 2025.

GeoHNNs: Geometric Hamiltonian Neural Networks A riemannian framework for learning reduced-order lagrangian dynamics, 2025

Reference 18

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Observation 2ff96d4a-8ea9-4e88-a2e3-df1544707f05 · outbound

This paper cites Classical Mechanics.

GeoHNNs: Geometric Hamiltonian Neural Networks Classical Mechanics

Reference 19

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Observation 2da3fc35-0cb8-458f-bd75-86e20ba7ec89 · outbound

This paper cites Hamiltonian neural networks, 2019.

GeoHNNs: Geometric Hamiltonian Neural Networks Hamiltonian neural networks, 2019

Reference 20

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Observation ff319126-6ed9-45ec-8d51-b4da43e3be0e · outbound

This paper cites Introduction to Tensor Analysis and the Calculus of Moving Surfaces.

GeoHNNs: Geometric Hamiltonian Neural Networks Introduction to Tensor Analysis and the Calculus of Moving Surfaces

Reference 21

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Observation 204a9771-e845-4554-8d20-2d4190f74bed · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 22

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Observation 9b88aa2e-cec9-45b7-b22f-94e3a52645be · outbound

This paper cites Geoopt: Riemannian optimization in pytorch, 2020.

GeoHNNs: Geometric Hamiltonian Neural Networks Geoopt: Riemannian optimization in pytorch, 2020

Reference 23

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Observation 6dcadc48-9e6a-42c1-a3de-a1910c699a04 · outbound

This paper cites The variational principles of mechanics.

GeoHNNs: Geometric Hamiltonian Neural Networks The variational principles of mechanics

Reference 24

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Observation 25633540-da5a-44a2-8be5-607d3bd78dfa · outbound

This paper cites Deep learning.

GeoHNNs: Geometric Hamiltonian Neural Networks Deep learning

Reference 25

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Observation d79ed4a8-da8d-4266-931c-38c64c1b4fdd · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 26

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Observation f2d36f3a-33e2-4821-a2fc-3ad4d006c6f9 · outbound

This paper cites Riemannian geometry of symmetric positive definite matrices via cholesky decomposition.

GeoHNNs: Geometric Hamiltonian Neural Networks Riemannian geometry of symmetric positive definite matrices via cholesky decomposition

Reference 27

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Observation bb2cf595-9e04-4f58-95ed-b909c36219da · outbound

This paper cites Liouville.

GeoHNNs: Geometric Hamiltonian Neural Networks Liouville

Reference 28

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Observation 78a42147-1d5e-41e4-acd9-ceaf2ac1e2e3 · outbound

This paper cites Decoupled weight decay regularization, 2019.

GeoHNNs: Geometric Hamiltonian Neural Networks Decoupled weight decay regularization, 2019

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 4dff1574-d6be-4bb5-8438-9147cd1ee5b8 · outbound

This paper cites Deep lagrangian networks: Using physics as model prior for deep learning, 2019.

GeoHNNs: Geometric Hamiltonian Neural Networks Deep lagrangian networks: Using physics as model prior for deep learning, 2019

Reference 30

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 95735960-afe3-4b0c-bf0d-366a50e5d6ec · outbound

This paper cites The need for biases in learning generalizations, 10 2002.

GeoHNNs: Geometric Hamiltonian Neural Networks The need for biases in learning generalizations, 10 2002

Reference 31

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6f8ff6a0-3f75-4d02-b70c-f923f163c054 · outbound

This paper cites A differential geometric approach to the geometric mean of symmetric positive-definite matrices.

GeoHNNs: Geometric Hamiltonian Neural Networks A differential geometric approach to the geometric mean of symmetric positive-definite matrices

Reference 32

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3fbb5b94-18a2-45b9-b347-8292de1eb43d · outbound

This paper cites Murray, S.

GeoHNNs: Geometric Hamiltonian Neural Networks Murray, S

Reference 33

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 12ee1f44-9943-4a1d-a838-34262eb45bad · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7a7bd1fd-79df-4750-b994-2f52be36b30e · outbound

This paper cites Otto, Gregory R.

GeoHNNs: Geometric Hamiltonian Neural Networks Otto, Gregory R

Reference 35

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raw_fallback, observed 2026-08-06T15:31:58.663747Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a72b2bcb-6296-48f7-9977-0a80722c34dd · outbound

This paper cites Symplectic model reduction of hamiltonian systems, 2015.

GeoHNNs: Geometric Hamiltonian Neural Networks Symplectic model reduction of hamiltonian systems, 2015

Reference 36

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raw_fallback, observed 2026-08-06T15:31:58.647270Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.281329Z digest=sha256:7dbdef33246b8efee80998155ac19be028a8ccf58c364f33453bffc3fcb54207

Observation bdf1e3ca-2191-4380-ac01-a7128f419f62 · outbound

This paper cites Springer, 01 2008.

GeoHNNs: Geometric Hamiltonian Neural Networks Springer, 01 2008

Reference 37

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raw_fallback, observed 2026-08-06T15:31:58.631977Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.287130Z digest=sha256:2d8107afe43fb0362e43479404fb1637c6bde8c795f4d7a2692e14a8db1deaf2

Observation 4bfe7c91-2267-4915-8b7a-19915e756c7a · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:31:58.616461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.292071Z digest=sha256:02732a6065a36a9c7a5eddb2d9f613d3af132baa37d6c89ee44e7955a67df0a8

Observation a895cfe2-c1d8-4526-97d4-8809e7a72e77 · outbound

This paper cites Smith, and Carl T.

GeoHNNs: Geometric Hamiltonian Neural Networks Smith, and Carl T

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.601029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.296763Z digest=sha256:eff781a70f5bea158cef13a10e52e915bcbb02ac6df8d17c50ddc1dc6b87da09

Observation 666d8b36-324d-48b5-91ef-019ef1399307 · outbound

This paper cites Ordinary Differential Equations.

GeoHNNs: Geometric Hamiltonian Neural Networks Ordinary Differential Equations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.584878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.301082Z digest=sha256:511db4df06313fe251fbd9d7bb8a307cf94cd667d43c8824adf4d4bba4e10e3c

Observation 68a9bc28-c4e3-4462-9aa0-2f0152853aba · outbound

This paper cites Generalized lagrangian neural networks, 2024.

GeoHNNs: Geometric Hamiltonian Neural Networks Generalized lagrangian neural networks, 2024

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.566435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.305794Z digest=sha256:43b1ad21ade89ab6d03bbc87fddec6641cb8d8a23b4b4431e476dfa11042709c

Observation 69469276-f8c1-47d1-9942-87c24b30011b · outbound

This paper cites manifolds.

GeoHNNs: Geometric Hamiltonian Neural Networks manifolds

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.548212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.310714Z digest=sha256:71ade81efad9db866f84a2488711e198d839a0f1a24ef5581c8915432b316b97

Observation 84e8317e-654a-49e0-b954-8ba2b740a020 · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:31:58.529215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.316348Z digest=sha256:1db12d869d3893768067d8f543509579868b4d56d1325550315add97fdcc1146

Observation 2fc58727-6851-4f96-97c8-23f811a51be3 · outbound

This paper cites The pair (U, φ) is called a coordinate chart or simply a chart.

GeoHNNs: Geometric Hamiltonian Neural Networks The pair (U, φ) is called a coordinate chart or simply a chart

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.512471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.321808Z digest=sha256:30c68e2007070b399916cd907a75edca8ab167f71f888869e15dce4cc28c16b2

Observation 2641401e-cf9c-429d-84b0-60209657ad10 · outbound

This paper cites Definition A.4 (Smooth Manifold).

GeoHNNs: Geometric Hamiltonian Neural Networks Definition A.4 (Smooth Manifold)

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:31:58.494030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.328122Z digest=sha256:ea48ce6a4d65edf09ddd7ad0a3bbe4551b5d808737bec5a8a44d62a9b5ab85f0

Observation 908a0c89-81a9-49e5-b52b-0c563111b906 · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:31:58.475702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.333189Z digest=sha256:88886ab320d0626e94b96c11410d8172fe2e9666c4e84d81e6350d1ff3a5d850

Observation c1dd63aa-6da1-409b-8fa2-59d758a189bf · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:31:58.457406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.338288Z digest=sha256:30bbd0d18e3e4c29ae9ec3a5d12e2ef1f26b20ee59793b71787f349c3309bf95

Observation b287fbc1-1d39-45e0-a679-927ae342b11e · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:31:58.439004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.343434Z digest=sha256:b895992910439bc8fda324aa74dcaef3dce2bad584c66ee7fe3c944546511309

Observation ed1a0dd4-2c04-4a06-9261-294987d184a6 · outbound

This paper cites an unresolved cited work.

GeoHNNs: Geometric Hamiltonian Neural Networks Unresolved cited work

Reference 49

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T15:31:58.420350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.349752Z digest=sha256:d8423a011185f3870092cb98d7e0b64ede90fc1431658b727fe393d63c682a73

Observation 9f93b490-c182-43e6-938d-cec61f526dd5 · outbound

This paper cites Each proof is self-contained and follows from the assumptions and definitions introduced earlier.

GeoHNNs: Geometric Hamiltonian Neural Networks Each proof is self-contained and follows from the assumptions and definitions introduced earlier

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T15:31:58.403316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T15:31:58.354850Z digest=sha256:36527eda6757ec409bed25ec3eb99e49f12bbb7672cf571a2055b6b76210d95f

Pith citing papers

Observation acdee504-6697-45f2-ab04-7400fd354aec · inbound

Geometry-Induced Long-Range Correlations in Recurrent Neural Network Quantum States cites this paper.

Geometry-Induced Long-Range Correlations in Recurrent Neural Network Quantum States GeoHNNs: Geometric Hamiltonian Neural Networks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:25:38.513730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:24:16.084206Z digest=sha256:fb110f51ebb2249a407fed53e1a1f767579d6e8797109f050b8ff9e0937277eb