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Paper Citation Record · LEDGER

Generalizing to New Dynamical Systems via Frequency Domain Adaptation

As of 19 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2507.00025.

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

pith.paper-citation-record.v1
2507.00025 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

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measured 63 of 63 standing notices

One-hop event checks from named stored sources.

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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

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

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffb5545e-a6cf-46cc-86cf-c52aeec73f8f · outbound

This paper cites Reynolds averaged turbulence modelling using deep neural networks with embedded invariance,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Reynolds averaged turbulence modelling using deep neural networks with embedded invariance,

Reference 1

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Observation a923ef67-d487-4069-966b-10b7ac8aae11 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynami- cal systems,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Discovering governing equations from data by sparse identification of nonlinear dynami- cal systems,

Reference 2

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Observation 6708d9b1-330f-42cb-aed2-c2f822ceb4fa · outbound

This paper cites Hidden fluid mechanics: Learning velocity and pressure fields from flow vi- sualizations,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Hidden fluid mechanics: Learning velocity and pressure fields from flow vi- sualizations,

Reference 3

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Observation 487d12fd-6291-4f9b-9a5f-66901986616b · outbound

This paper cites Machine learning–accelerated computational fluid dynamics,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Machine learning–accelerated computational fluid dynamics,

Reference 4

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Observation e88851e5-8189-45ef-a043-6ec0e401c139 · outbound

This paper cites Lagrangian fluid simulation with continuous convolutions,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Lagrangian fluid simulation with continuous convolutions,

Reference 5

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Observation 63e2e500-84dc-4147-9dcd-3698baae52db · outbound

This paper cites Can machines learn to predict weather? using deep learning to predict gridded 500- hpa geopotential height from historical weather data,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Can machines learn to predict weather? using deep learning to predict gridded 500- hpa geopotential height from historical weather data,

Reference 6

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Observation b752e228-4ccd-4322-ba85-cf07a7c37274 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 7

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Observation b5038991-138d-484a-a7ca-0f7f6cee6ab6 · outbound

This paper cites Inferring halo masses with graph neural networks,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Inferring halo masses with graph neural networks,

Reference 8

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Source-reported events for the cited work

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Observation d93b678b-c286-4d16-805a-560f4085131b · outbound

This paper cites Sparsity in continuous-depth neural networks,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Sparsity in continuous-depth neural networks,

Reference 9

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Source-reported events for the cited work

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Observation 8169a715-0b4d-40c7-b7c0-d94089122add · outbound

This paper cites Physics-Guided Deep Learning for Dynamical Systems: A Survey.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 10

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Observation 82c560fd-ebed-4ece-bfb6-2c606257a1ba · outbound

This paper cites Meta-learning dynamics forecast- ing using task inference,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Meta-learning dynamics forecast- ing using task inference,

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 51c1889e-f513-4745-a090-71c0757d3165 · outbound

This paper cites Efficient computation of electrograms and ecgs in human whole heart simulations using a reaction- eikonal model,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Efficient computation of electrograms and ecgs in human whole heart simulations using a reaction- eikonal model,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 2faef26f-60ea-471a-972a-a8dc9d558531 · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Generalizing to unseen domains: A survey on domain generalization,

Reference 13

Resolution
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Observation 85b759f2-b5f6-43b6-bdee-25001e4b9e70 · outbound

This paper cites Leads: Learning dynamical systems that generalize across envi- ronments,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Leads: Learning dynamical systems that generalize across envi- ronments,

Reference 14

Resolution
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Observation ffd4ccff-8f4d-4fe9-9212-c16b6a5f1b89 · outbound

This paper cites Generalizing to new physical systems via context-informed dynamics model,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Generalizing to new physical systems via context-informed dynamics model,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 488280bc-2e6e-4dcd-8c04-dbf8a7799c84 · outbound

This paper cites First-order context-based adaptation for generalizing to new dynamical systems,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation First-order context-based adaptation for generalizing to new dynamical systems,

Reference 16

Resolution
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Observation 4a39caba-65b8-4100-b0cf-aab2d74d9f14 · outbound

This paper cites Sequential latent variable models for few-shot high-dimensional time-series forecasting,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Sequential latent variable models for few-shot high-dimensional time-series forecasting,

Reference 17

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Observation 2746cc44-7dbc-461b-968a-dede02008fea · outbound

This paper cites Deep learning and transfer learning for device-free human activity recognition: A survey,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Deep learning and transfer learning for device-free human activity recognition: A survey,

Reference 18

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Observation 632684b5-de16-4a97-a147-e4e5c55a8301 · outbound

This paper cites A review of federated meta-learning and its application in cyberspace secu- rity,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation A review of federated meta-learning and its application in cyberspace secu- rity,

Reference 19

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Observation 71e372d9-2404-4360-87fc-ba25afb57aae · outbound

This paper cites An algorithm for the machine calculation of complex fourier series,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation An algorithm for the machine calculation of complex fourier series,

Reference 20

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Source-reported events for the cited work

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Observation 9460fcff-0736-4663-9ec6-15fe17b56744 · outbound

This paper cites Van Loan,Computational frameworks for the fast Fourier transform.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Van Loan,Computational frameworks for the fast Fourier transform

Reference 21

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Source-reported events for the cited work

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Observation cf3cc66f-4266-4048-824b-3aa927a18703 · outbound

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Generalizing to New Dynamical Systems via Frequency Domain Adaptation Unresolved cited work

Reference 22

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Observation afc083d1-bbf9-412e-b997-382bf79e8475 · outbound

This paper cites Distribu- tionally robust neural networks,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Distribu- tionally robust neural networks,

Reference 23

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Observation f36d5b7d-c950-477b-ab63-32a07829e6cc · outbound

This paper cites Statistics of ro- bust optimization: A generalized empirical likelihood approach,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Statistics of ro- bust optimization: A generalized empirical likelihood approach,

Reference 24

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Observation 8a9b4e62-eaae-4a10-a76a-e81333df1f67 · outbound

This paper cites The risks of invariant risk minimization,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation The risks of invariant risk minimization,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f997892-6c9d-47bb-bd31-1b2a79f07483 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex),.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Out-of-distribution generalization via risk extrapolation (rex),

Reference 26

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Source-reported events for the cited work

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Observation 1f769118-7971-4a49-b750-24074c07b168 · outbound

This paper cites Domain agnostic learning with disentangled representations,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Domain agnostic learning with disentangled representations,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8c2d33d5-8b82-4457-889f-ab6347c6c3a7 · outbound

This paper cites Gmfad: Towards gen- eralized visual recognition via multilayer feature alignment and disentanglement,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Gmfad: Towards gen- eralized visual recognition via multilayer feature alignment and disentanglement,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning to generalize: Meta-learning for domain generalization,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Domain generalization via model-agnostic learning of semantic features,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Domain generalization via model-agnostic learning of semantic features,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Generalizing to unseen domains via adversarial data augmentation,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Generalizing to unseen domains via adversarial data augmentation,

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6316e5a8-3bc3-4037-82f6-0679acb11b53 · outbound

This paper cites Domain generalization with mixstyle,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Domain generalization with mixstyle,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5ffc63b4-2698-47c9-956b-cd6c5e38d92c · outbound

This paper cites Regular- izing deep networks with semantic data augmentation,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Regular- izing deep networks with semantic data augmentation,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f05ac34c-50cc-4774-a22d-6657f78934ae · outbound

This paper cites Generalizing to evolving domains with latent structure-aware sequential autoencoder,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Generalizing to evolving domains with latent structure-aware sequential autoencoder,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d6939300-846c-46f4-8b08-2b85ff919c99 · outbound

This paper cites Training for the future: A simple gradient interpolation loss to generalize along time,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Training for the future: A simple gradient interpolation loss to generalize along time,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.089906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:26.928284Z digest=sha256:2b0ef75f55b11819d134267512d1d3b18d40f129a30c1ad868df89fb82e654ca

Observation b9e63ff9-6a5f-4cb1-9ded-3ed42de76c08 · outbound

This paper cites Evolving domain generalization via latent structure-aware sequential autoencoder,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Evolving domain generalization via latent structure-aware sequential autoencoder,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.082475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.020975Z digest=sha256:9bc9be7424f96c2ddc47d6bd60139c3c6cca0e0ab9a879e2a3c5a04e9a4e3885

Observation 7b3e4359-edf9-4a6d-9672-729bfb589741 · outbound

This paper cites Neural ordinary differential equations,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Neural ordinary differential equations,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.074252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.129435Z digest=sha256:375769ead56d0c5d9a7586ba51e039cc61c8a618d5694a63521f8a1701926654

Observation 74a3d068-69bb-4a37-b484-b438a7d60b5f · outbound

This paper cites Learning to simulate complex physics with graph networks,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning to simulate complex physics with graph networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.067065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.241116Z digest=sha256:9877b2a40269545ee5ed74e0c594ec0f779f51b017852a3983a3bcb57814ada7

Observation b5e2f9a9-9c30-434b-9196-4285dc00eb36 · outbound

This paper cites Learning mesh-based simulation with graph networks,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning mesh-based simulation with graph networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.059369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.347500Z digest=sha256:874cc42b0f33c9973a3fd8ac063385f4f1af1c11e8f8dd5ee92d3a53d88cb362

Observation 6ad7676a-b3d4-4c7f-871a-690f6aef4ce5 · outbound

This paper cites Learning dynamical systems from data: An introduction to physics-guided deep learning,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning dynamical systems from data: An introduction to physics-guided deep learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.052017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.455537Z digest=sha256:33f8545cf10797d8dac814f620703e9fbc24707de10d8150f8cb2afe8132c087

Observation 5a384640-18cb-4758-9682-c8db7364e38a · outbound

This paper cites Scaling learning algorithms towards ai,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Scaling learning algorithms towards ai,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.044238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.565100Z digest=sha256:fab8db01ae778717cb5823c095c6ffc062bd8a288fc65ba9746426034a7aedc8

Observation 8f39043c-2c76-4433-94e8-677d1aaca998 · outbound

This paper cites Learning long term dependencies via fourier recurrent units,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning long term dependencies via fourier recurrent units,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.037342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.677888Z digest=sha256:60ad3f4eb407afa5b8094c1bb40e154f0f3b8a12e4f93ef71d300a0bf1467548

Observation a9f7f772-a21f-4790-9bee-e6f8d0ced2bb · outbound

This paper cites Fast training of convolu- tional networks through ffts,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Fast training of convolu- tional networks through ffts,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.029647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.796619Z digest=sha256:b632ba9723df827c605908d62ae842b3ef38d13ec5158f146f4a777b22bac8e2

Observation 03accacc-58ff-4397-966c-ce253a475b7e · outbound

This paper cites Fnet: Mixing tokens with fourier transforms,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Fnet: Mixing tokens with fourier transforms,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.022318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.858572Z digest=sha256:72fd8f5efb410cb44c202b3b06f6671ace93f160364dd3ec80b6c477040e15e2

Observation 25b53d6d-7b01-48e3-b9fa-328f05598bd5 · outbound

This paper cites Implicit neural representations with periodic activation func- tions,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Implicit neural representations with periodic activation func- tions,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.014504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.892469Z digest=sha256:73d8a4e6d3177a78488ab85b2d480401d71be184e5df9fc223cbccc205dc22d1

Observation 83b39e5f-c0a5-4838-b1d5-fbdfe234d0c6 · outbound

This paper cites Robustperiod: Robust time-frequency mining for multiple periodicity detection,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Robustperiod: Robust time-frequency mining for multiple periodicity detection,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:31.006650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:27.995885Z digest=sha256:f601a0d40f84b0c2365cd9eab5c9e79bd293f19973ec78058971af188b6f01cf

Observation b1458df7-79c5-48da-8e06-575e26d24a48 · outbound

This paper cites Fourier neural operator for parametric partial differential equations,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Fourier neural operator for parametric partial differential equations,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.998445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.149757Z digest=sha256:ad8d8f4beabdc669896dac30e0a617064e02297d3f847c83011e53b568ce001a

Observation b0e83c0b-eb4a-454b-8d24-01e8d839aecf · outbound

This paper cites Learning chaotic dynamics in dissipative systems,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Learning chaotic dynamics in dissipative systems,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.989307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.282380Z digest=sha256:d4408dbda202211a889a7cf5b206285c6c932bd546bc820d5008f159b512b792

Observation 88c09841-9f6a-4f9a-a883-4ced9a822e7b · outbound

This paper cites Factorized fourier neural operators,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Factorized fourier neural operators,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.981355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.387387Z digest=sha256:3a26687813f99ff25ad7ba3e0697e7a28e67500d4d7ac945e8c9af4e47aa8104

Observation 72706d88-49d4-4190-abaa-d47ae7bec6dd · outbound

This paper cites On universal approx- imation and error bounds for fourier neural operators,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation On universal approx- imation and error bounds for fourier neural operators,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.974028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.444207Z digest=sha256:8f1d0d368b5c446fe0275da3cb3463a59555d841af928f892db48730e794825f

Observation 0bb560c5-e25f-4df3-add0-56086da83438 · outbound

This paper cites an unresolved cited work.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:26:30.965532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.576590Z digest=sha256:1b267aa245b4cba39af639689780ecaa4a3d9c2e83bf0af77d830b37482f8b6c

Observation 877292f8-ee43-4973-9ea7-ac26c70dbd53 · outbound

This paper cites Searching for activation functions,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Searching for activation functions,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.957911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.697700Z digest=sha256:2dcd8cfd6816001b2624cde27d5e2d8e42201eccda7f4ec34ab0df1fd8682704

Observation 68020ba0-317d-418c-aad4-df3ff790befe · outbound

This paper cites Predicting physics in mesh-reduced space with temporal attention,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Predicting physics in mesh-reduced space with temporal attention,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.950198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.785970Z digest=sha256:aee7ca8ab8de8b84551ae420b258343ab11bdbcd66dad6a3f60f093325e0ce59

Observation df8328a8-985d-4965-974e-55d858659012 · outbound

This paper cites an unresolved cited work.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:26:30.942498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:28.940294Z digest=sha256:fb53d9353079b8256d10edebe6d8542bb09db622c7c6f5b0c323bbf6c1a1dec9

Observation 50479faf-8a79-4173-ab8b-390c61539aa6 · outbound

This paper cites Efficient inference of parsi- monious phenomenological models of cellular dynamics using s- systems and alternating regression,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Efficient inference of parsi- monious phenomenological models of cellular dynamics using s- systems and alternating regression,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.935024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.157703Z digest=sha256:281ec361a4c875036f98bb8fcd2db74b1e95543be83df9f4efc4b3ad9dfbb31d

Observation abc4334c-9e48-46d9-a4f1-d4fae7449ee5 · outbound

This paper cites Complex patterns in a simple system,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Complex patterns in a simple system,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.926668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.292540Z digest=sha256:b1e30b261518a395ecc83371fa74846a369e30ed5329e3fe753aa6d92754ba14

Observation 8439f4de-71b0-49a5-98ca-3f74b6c774fa · outbound

This paper cites On the effect of the internal friction of fluids on the motion of pendulums,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation On the effect of the internal friction of fluids on the motion of pendulums,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.918883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.438189Z digest=sha256:d69080ea19954b82a7a3feb2310a5b801584076a5b44a505b3265af645f5c4f1

Observation 1831eaeb-c9ba-4d8f-b031-faac7893fd60 · outbound

This paper cites Statistical learning theory wiley,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Statistical learning theory wiley,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.910334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.617737Z digest=sha256:22959526bbb88e501d62804379f83e1a1e065f87250d720969af69d24567b8b4

Observation afeb8ffd-e2fb-4986-af8d-b727d61c2d41 · outbound

This paper cites Automatic differ- entiation in pytorch,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Automatic differ- entiation in pytorch,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.900703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.763777Z digest=sha256:ed0c362f54df4e1c2e6056934f2d2b412b7edd2ffc7d5f9128029fe47620aae1

Observation 7715d571-6e1e-4e96-80a8-5f94fa7e9ed8 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Adam: A method for stochastic optimiza- tion,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.892568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:29.939836Z digest=sha256:6b134e08799e1c416eb379d946a4707b37ef8713ee8cdb8b30e9d87481bd0329

Observation c1db9c68-f621-4314-b8c8-6224579079b6 · outbound

This paper cites Fpga dynamic and partial reconfigura- tion: A survey of architectures, methods, and applications,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Fpga dynamic and partial reconfigura- tion: A survey of architectures, methods, and applications,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.883681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:30.058511Z digest=sha256:e6bd2666243a0582e772fb058378186d5f98c18fa07554c6333f2f21118dcc28

Observation 6a9bbac7-69cc-4fe9-9758-fd88594797aa · outbound

This paper cites Transform once: Efficient operator learning in frequency domain,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Transform once: Efficient operator learning in frequency domain,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:26:30.864228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:30.266608Z digest=sha256:884c6f65fa13d19a5066767fd89753da2d20d28bbf75e08849dbcbcb9bb2f81f

Observation e39061bb-f96c-4023-9ef9-692f494c5506 · outbound

This paper cites Physics perception in sloshing scenes with guaranteed thermo- dynamic consistency,.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Physics perception in sloshing scenes with guaranteed thermo- dynamic consistency,

Reference 63

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:26:30.646554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:26:30.415242Z digest=sha256:ce892ccb3e6648394e9d4a5b4e164e6c6f363c0edba1e191f96c8e0da86a727d

Pith citing papers

No inbound Pith citation observations are available.