Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:51:00.536240Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2412.09752.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:51:00.536240Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T19:06:22.016193Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T19:15:30.439186Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c9af28d5-d075-49d3-b170-1177ab00f48f · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks A NTONION , X
Reference 1
Source-reported events for the cited work
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Observation 70f59e82-ec56-45d2-8eed-21e56c14ed48 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks B ARENBLATT AND Y
Reference 2
Source-reported events for the cited work
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Observation 54f959ce-de22-4389-b278-6b75cde85c77 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation 641d4fde-41f6-44f0-9952-4eb046aaec31 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks B IASI , Self-similar solutions to the compressible euler equations and their instabilities, Communications in Nonlinear Science and Numerical Simulation, 103 (2021), p
Reference 4
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.
Observation 03172e1b-5fee-4c89-817d-6c3ab381fe95 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks B ISCHOF AND M
Reference 5
Source-reported events for the cited work
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Observation 984e0d4c-d085-48e0-bae3-8a1f8366b569 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 6
Source-reported events for the cited work
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Observation f1c14406-c98d-46dc-ac38-fdefd461f9cd · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 7
Source-reported events for the cited work
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Observation 940344c3-3da4-4617-a5ea-8c407a127d72 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks C HIU , J
Reference 8
Source-reported events for the cited work
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Observation 033bb0d2-b291-4ddb-b326-0d20e4fddb20 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks C YBENKO , Approximation by superpositions of a sigmoidal function, Mathematics of control, signals and systems, 2 (1989), pp
Reference 9
Source-reported events for the cited work
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Observation e000fef0-a1d7-49eb-82fc-fb8024584679 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 10
Source-reported events for the cited work
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Observation 1bcaacb6-b2c3-4a70-bd76-d99558e030d1 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks An operator preconditioning perspective on training in physics-informed machine learning
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d11ab607-c243-42ac-b1c1-1a7701bc5ac9 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks E GGERS AND M
Reference 12
Source-reported events for the cited work
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Observation c353f79d-8927-41a8-ae06-26f8ba6b47f5 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 13
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.
Observation fe98b127-3a21-492f-9ee9-57a4946c66f5 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks F AREA , O
Reference 14
Source-reported events for the cited work
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Observation 19d7d06b-3afc-43cf-9680-9a9b468eddff · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks H ABERMAN , Elementary applied partial differential equations: with Fourier series and boundary value problems , Prentice-Hall Englewood Cliffs, NJ, 1987
Reference 15
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.
Observation 831a0274-c738-47b0-891c-a655a5fb04de · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 16
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.
Observation 8a7ea37e-9cd8-4fb5-ab32-9eb68945fe94 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks H ORNIK , Approximation capabilities of multilayer feedforward net- works, Neural networks, 4 (1991), pp
Reference 17
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.
Observation 564ad5a6-0f65-4df7-9331-5cc55f7743ec · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks J AHANI -NASAB AND M
Reference 18
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.
Observation 7e713e6f-c50e-4925-84c9-60ec816093ba · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks K RISHNAPRIYAN , A
Reference 19
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.
Observation 9439ac1b-d23d-46fd-ac78-2709357f575f · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks M ADDU , D
Reference 20
Source-reported events for the cited work
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Observation c5b6f9d4-cc92-4603-9fd3-559aacae10a0 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks M ARKIDIS , The old and the new: Can physics-informed deep- learning replace traditional linear solvers? , Frontiers in big Data, 4 (2021), p
Reference 21
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.
Observation e39d9b5c-a2d6-4a1d-bd24-15a22d584917 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks M CGREIVY AND A
Reference 22
Source-reported events for the cited work
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Observation 7aeeff4b-5259-4dfd-ba84-1a75c55db6e1 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 23
Source-reported events for the cited work
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Observation 43d26ea9-b602-4cad-ab5a-3c7c81cdff4c · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks N OCEDAL AND S
Reference 24
Source-reported events for the cited work
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Observation 06c10354-e75d-4eaf-995c-fc628a13048d · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks O H AND F
Reference 25
Source-reported events for the cited work
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Observation a7a89d43-226c-4b3f-832c-0c8fbee2663c · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks P ASZKE , S
Reference 26
Source-reported events for the cited work
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Observation 3671ed4f-665b-4514-b8bc-06d0fa8d8cac · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks P ENWARDEN , A
Reference 27
Source-reported events for the cited work
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Observation 3ec86ec7-b7ed-4a6d-958d-be8c12ca1bca · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks R AHAMAN , A
Reference 28
Source-reported events for the cited work
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Observation 206f2395-3486-43ce-9811-b1fa6650880d · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks R AISSI , P
Reference 29
Source-reported events for the cited work
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Observation 72355189-f33e-45b7-a36b-2752d0ffdc04 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Challenges in Training PINNs: A Loss Landscape Perspective
Reference 30
Source-reported events for the cited work
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Observation 2a128bd0-acb0-4a2a-9131-80226b9cd0e5 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks R OMAN , The formula of faa di bruno , The American Mathematical Monthly, 87 (1980), pp
Reference 31
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Observation 2fe378d7-4432-4019-88d5-1fa47e9d2389 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks S HARMA AND V
Reference 32
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A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Unresolved cited work
Reference 33
Source-reported events for the cited work
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Observation 486cf8e9-bf1c-445d-a2a5-7b411d3c87ae · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks S IMARD , B
Reference 34
Source-reported events for the cited work
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Observation bdd8f5b3-14ed-4ed7-b985-82827a8b77ea · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Sobolev Training for Physics Informed Neural Networks
Reference 35
Source-reported events for the cited work
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Observation 70fe2c39-e161-41a8-a94f-19907921dd55 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
Reference 36
Source-reported events for the cited work
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Observation 64c964ba-7a24-4ca0-a70c-ae86eb656765 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks An Expert's Guide to Training Physics-informed Neural Networks
Reference 37
Source-reported events for the cited work
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Observation 06bcdd48-e19e-4890-bd27-2f7d2cf17a23 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Understanding and mitigating gradient pathologies in physics-informed neural networks
Reference 38
Source-reported events for the cited work
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Observation 36a1c248-3703-4d7b-a665-5bc1bbeda857 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks W ANG , X
Reference 39
Source-reported events for the cited work
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Observation 952b95f1-31f2-4fa4-9191-d481067e8388 · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks W ANG , C.-Y
Reference 40
Source-reported events for the cited work
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Observation 6b1c0949-18d7-478c-bf49-970bfdb84bbe · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Reference 41
Source-reported events for the cited work
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Observation a411e0b5-0553-449e-86a7-fcbc5cfde9cd · outbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
Reference 42
Source-reported events for the cited work
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Observation 85f7a439-c97f-4b7f-ab61-873713f3c71c · inbound
SplineNet: An Isogeometric Deep Learning Method for Complex Shells A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks
Reference 12
Source-reported events for the cited work
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