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Paper Citation Record · LEDGER

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.28977.

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

pith.paper-citation-record.v1
2607.28977 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:16:50.064700Z

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation ac6c297b-d923-4f73-8b15-3b4477faddc2 · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 1

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Observation 8405bdfa-2bd8-4db0-8e7e-4557c386ecca · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-03T16:16:47.403155Z digest=sha256:db3164bc79c93b4be6d07c077eec2308c85d6f5428f8d5087fc8ba7c2a2056bb

Observation 8d0b2c4b-da21-4e17-a9bb-62685ec5d25c · outbound

This paper cites H´ enon and C.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks H´ enon and C

Reference 3

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source=pdf_text observed=2026-08-03T16:16:47.491434Z digest=sha256:626743764a80bf4c8db9eb60b7441108d84369e56dcec627930c4caee0f9348a

Observation a1007a6a-68a2-4a41-8f22-f234d0f619ed · outbound

This paper cites Barbanis, On the isolating character of the ‘third’ in- tegral in a resonance case, The Astronomical Journal71, 415 (1966).

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Barbanis, On the isolating character of the ‘third’ in- tegral in a resonance case, The Astronomical Journal71, 415 (1966)

Reference 4

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Observation 67c57428-521a-49ea-a60b-7dba8dce7d07 · outbound

This paper cites Kryvohuz and J.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Kryvohuz and J

Reference 5

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source=pdf_text observed=2026-08-03T16:16:47.733493Z digest=sha256:9bf50288f157fd09f93a636e47d7e114b00b9d877c6e972b0acdc9683d6ec1c0

Observation a9db7a47-42f0-44f5-8cf8-6d2b75c468f1 · outbound

This paper cites Hamiltonian Neural Networks.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Hamiltonian Neural Networks

Reference 6

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source=pdf_text observed=2026-08-03T16:16:47.900881Z digest=sha256:308cbdc2422ce1a63535562e3258169c87a8004d4965d6382e8c1ec097af5223

Observation 7d65e116-8623-4a51-90b5-c7f7a0ab62b3 · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-03T16:16:48.014003Z digest=sha256:9cbd8241996a2c0f1657fe858b584dea4a748cbaf456707b5f979e8d1410058a

Observation 13139c66-9de9-4942-894d-78a8331d5d63 · outbound

This paper cites Chen and M.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Chen and M

Reference 8

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source=pdf_text observed=2026-08-03T16:16:48.107847Z digest=sha256:1dcfad432cc57056b396fe292e5990bc669459e206119d32a0bf09c9260f3079

Observation 9b52d15d-4ef6-4038-9bbf-f2c01c45698c · outbound

This paper cites Choudhary, J.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Choudhary, J

Reference 9

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Observation 51b76e04-82a8-4b94-a68c-9fb400c39843 · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-03T16:16:48.321953Z digest=sha256:1aa05d5947a1daf7b59a7648cc66b71a7df99676e6b9c145d6244e759bee1b9a

Observation e7b19c56-e9f9-48e9-914c-e89c39fbd71f · outbound

This paper cites Out-of-Domain Generalization in Dynamical Systems Reconstruction.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Out-of-Domain Generalization in Dynamical Systems Reconstruction

Reference 11

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Observation 73bad128-b0cf-4f02-9b9c-9ba61f964846 · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-03T16:16:48.501179Z digest=sha256:285fbed9a17228579b373f612574645584d458057ceace74a4df0ff14ec42968

Observation 4c7544bf-ed62-4dc4-9f2e-988d2f6253c6 · outbound

This paper cites Kong, H.-W.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Kong, H.-W

Reference 13

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source=pdf_text observed=2026-08-03T16:16:48.542740Z digest=sha256:19b250d4e891d7e6bc3302b084291d3738a26d1fb16a3f393400b4bd0dfd620c

Observation 913b58b7-c8c7-456a-86d9-647e72dbc2b9 · outbound

This paper cites Choi and P.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Choi and P

Reference 14

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source=pdf_text observed=2026-08-03T16:16:48.610380Z digest=sha256:711cca4d44686c78bffef9e80894860c6e533575a6fb56907ad8d35dea2ada7d

Observation 16d8f9bb-efd2-4612-b256-1edd47122a99 · outbound

This paper cites Jaeger and H.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Jaeger and H

Reference 15

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Observation 97095942-d83f-447a-9344-5f47e2a5df79 · outbound

This paper cites Choi and P.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Choi and P

Reference 16

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Observation 4d2d898c-8cca-40f8-8ae4-2512bd08a502 · outbound

This paper cites Panahi and Y.-C.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Panahi and Y.-C

Reference 17

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Observation defe81bc-f573-45f6-aee0-cdb1c761ed3c · outbound

This paper cites Koglmayr and C.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Koglmayr and C

Reference 18

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Observation f20d0dc3-f28f-4188-b84a-667a717bf81d · outbound

This paper cites van Tegelen, G.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks van Tegelen, G

Reference 19

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Observation 494e465e-f7c2-4020-8094-e9d153b4e0e6 · outbound

This paper cites Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems

Reference 20

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Observation 1d137c65-0e5c-4b95-a8ab-faff0ed1bc7b · outbound

This paper cites Zhang, H.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Zhang, H

Reference 21

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Observation 425854e0-bb16-46a5-9082-f344961ee370 · outbound

This paper cites Jakov´ ac, M.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Jakov´ ac, M

Reference 22

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Observation dffcbaf8-198b-4b8c-8ed2-f0a9cd30fcc7 · outbound

This paper cites Sampling weights of deep neural networks.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Sampling weights of deep neural networks

Reference 23

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Observation b683afb3-6b1f-41e8-8b90-7f6c44b6a7eb · outbound

This paper cites Training Hamiltonian neural networks without backpropagation.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Training Hamiltonian neural networks without backpropagation

Reference 24

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Observation 1924b342-b0c6-4133-92d6-4d76fe172953 · outbound

This paper cites Rapid training of Hamiltonian graph networks using random features.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Rapid training of Hamiltonian graph networks using random features

Reference 25

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Observation 4e23aeba-9fab-43ae-882b-7aad7650be46 · outbound

This paper cites an unresolved cited work.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-03T16:16:49.801005Z digest=sha256:bbe2fd0de256ec928ce94e1e21bb7af912929972db0880a5170421fd74a5e465

Observation b3261b70-426e-4ffb-b104-a50eadb065ba · outbound

This paper cites Akiba, S.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Akiba, S

Reference 27

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Observation ebee36ca-5898-4c78-b1ce-db94b83b08d0 · outbound

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Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-03T16:16:49.968756Z digest=sha256:08aa5f4babd3da27a38b1e296504edb9f6bd0d30d4eecf7e59a950f3ae500d67

Observation 47f73d57-5218-4ecf-9265-db35138c07f5 · outbound

This paper cites Benettin, L.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Benettin, L

Reference 29

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source=pdf_text observed=2026-08-03T16:16:50.064700Z digest=sha256:3c5ce8f682cbd40b093bedca9fcbdea28cd730f39ede129b94d03460a5aa5386

Pith citing papers

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