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Paper Citation Record · LEDGER

Training of Physical Neural Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.03372.

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

pith.paper-citation-record.v1
2406.03372 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:56:57.654370Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d4f43097-92a4-4660-afc5-7c4281d46be4 · inbound

Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems cites this paper.

Harnessing Nonidealities in Analog In-Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems Training of Physical Neural Networks

Reference 32

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no resolver link, observed 2026-08-11T17:26:38.115790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7b3bdeb8-8991-4c35-b018-30d152e01086 · inbound

Programmable metasurfaces for future photonic artificial intelligence cites this paper.

Programmable metasurfaces for future photonic artificial intelligence Training of Physical Neural Networks

Reference 61

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no resolver link, observed 2026-08-15T20:56:57.654370Z

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source=arxiv_source observed=2026-08-15T20:56:57.654370Z digest=sha256:255b0a2b97a8c78b72a86ff10241b702f53d8279ebb8cfbcdb4841f5f0e97aab

Observation 6f210341-9002-468e-867e-b4f4be73a5e9 · inbound

Learning long range dependencies through time reversal symmetry breaking cites this paper.

Learning long range dependencies through time reversal symmetry breaking Training of Physical Neural Networks

Reference 11

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no resolver link, observed 2026-08-07T10:29:46.360284Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:46.360284Z digest=sha256:b83ffdb007f92602757178fb66393d41ec32e83bfd4682f8f289974484420bad

Observation a15f8700-6929-4213-b032-a6def9c2886d · inbound

Fully analog end-to-end online training with real-time adaptibility on integrated photonic platform cites this paper.

Fully analog end-to-end online training with real-time adaptibility on integrated photonic platform Training of Physical Neural Networks

Reference 20

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no resolver link, observed 2026-08-06T23:27:45.819101Z

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source=pdf_text observed=2026-08-06T23:27:45.819101Z digest=sha256:9b708751f2d0821dc62f9a6435c6c930ed69fa2535da163563239750cd9795f5

Observation f37f4563-91b6-41ba-bb1d-384878769af4 · inbound

Local Learning Rules for Out-of-Equilibrium Physical Generative Models cites this paper.

Local Learning Rules for Out-of-Equilibrium Physical Generative Models Training of Physical Neural Networks

Reference 18

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no resolver link, observed 2026-08-15T18:44:10.933745Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:10.933745Z digest=sha256:327ab242c8a0d8a0132484e981029cc33fd68fc85a35d31e4c1febb1f95a9507

Observation 2ecf990f-fdd4-4bb9-a029-6f84e2ad3ae2 · inbound

Equilibrium Propagation for Dissipative Dynamics cites this paper.

Equilibrium Propagation for Dissipative Dynamics Training of Physical Neural Networks

Reference 14

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no resolver link, observed 2026-08-06T22:59:58.669963Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:59:58.669963Z digest=sha256:d2dbc7fb730e20fb9787f6785146074ab9c4ef16991fc8db2da8e0455fd77971

Observation 77a5307a-d406-4133-ba50-47032e6a619c · inbound

Solving the compute crisis with physics-based ASICs cites this paper.

Solving the compute crisis with physics-based ASICs Training of Physical Neural Networks

Reference 48

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no resolver link, observed 2026-08-06T17:33:53.783498Z

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Unavailable: canonical work link unavailable.

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Observation ed69b4bd-a1e8-4d71-a729-c8ebad09d5c4 · inbound

Higher-Order Kuramoto Oscillator Network for Dense Associative Memory cites this paper.

Higher-Order Kuramoto Oscillator Network for Dense Associative Memory Training of Physical Neural Networks

Reference 4

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no resolver link, observed 2026-08-06T12:20:05.136707Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:20:05.136707Z digest=sha256:3dc6767ff28327d5dc09c024f3346a329dd26172da993787a4e04b4aaa18718f

Observation 4800195d-8fbd-4d26-9a52-539847919680 · inbound

Programmable k-local Ising Machines and all-optical Kolmogorov-Arnold Networks on Photonic Platforms cites this paper.

Programmable k-local Ising Machines and all-optical Kolmogorov-Arnold Networks on Photonic Platforms Training of Physical Neural Networks

Reference 48

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no resolver link, observed 2026-08-15T17:13:22.089528Z

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Unavailable: canonical work link unavailable.

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Observation a0e013fc-6103-4acf-a9ef-b34269121bf3 · inbound

Learning with springs and sticks cites this paper.

Learning with springs and sticks Training of Physical Neural Networks

Reference 19

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Unavailable: canonical work link unavailable.

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Observation 973c2b71-7d48-4e73-8b7d-156a7b8e5938 · inbound

Self-Organising Memristive Networks as Physical Learning Systems cites this paper.

Self-Organising Memristive Networks as Physical Learning Systems Training of Physical Neural Networks

Reference 19

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verified exact
arxiv_id, observed 2026-05-18T20:16:50.199486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cc3fc32b-f830-4797-ab8a-86c04883acb3 · inbound

An analog-electronic implementation of a harmonic oscillator recurrent neural network cites this paper.

An analog-electronic implementation of a harmonic oscillator recurrent neural network Training of Physical Neural Networks

Reference 19

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no resolver link, observed 2026-08-05T10:30:46.259839Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:30:46.259839Z digest=sha256:f29fe6d9527d5dff1e63af3707edb3e0b23b85e4073be38ff57047ae6e4c4ec0

Observation 7519c463-f5bc-4f73-b44d-f2d1cb208f84 · inbound

Universality of physical neural networks with multivariate nonlinearity cites this paper.

Universality of physical neural networks with multivariate nonlinearity Training of Physical Neural Networks

Reference 5

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no resolver link, observed 2026-08-05T05:17:09.734647Z

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Unavailable: canonical work link unavailable.

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Observation 548265e2-adba-4790-b6bd-24eefd3875ab · inbound

Non-Volatile Vortex MTJs with Opto-Electrical and Spin-Diode Nonlinearities as Multifunctional Neuromorphic Platforms cites this paper.

Non-Volatile Vortex MTJs with Opto-Electrical and Spin-Diode Nonlinearities as Multifunctional Neuromorphic Platforms Training of Physical Neural Networks

Reference 59

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verified exact
arxiv_id, observed 2026-05-15T17:06:18.947330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 315878e3-f8c2-4726-b402-ac0424991521 · inbound

Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems cites this paper.

Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems Training of Physical Neural Networks

Reference 273

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arxiv_id, observed 2026-05-10T03:29:21.806977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 915c589b-f603-4a1a-82cc-1236836d528d · inbound

Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks cites this paper.

Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks Training of Physical Neural Networks

Reference 4

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arxiv_id, observed 2026-05-11T17:01:10.287469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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