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Paper Citation Record · LEDGER

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs

As of 16 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.04141.

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

pith.paper-citation-record.v1
2501.04141 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:46:23.630488Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54efe714-d7f3-4820-9bb8-c95e0eb2a6f1 · outbound

This paper cites Photonics for artificial intelligence and neuromorphic computing.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Photonics for artificial intelligence and neuromorphic computing

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.861944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.575833Z digest=sha256:a859260ff3f7e4ba0bc5964ebdb23f5ee914f0ce3b66e45452b3bd096388a4dd

Observation 0c1dcae4-20d9-4dfc-9ae8-0137e15e123e · outbound

This paper cites Massively parallel amplitude-only fourier neural network.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Massively parallel amplitude-only fourier neural network

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.843902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.580690Z digest=sha256:ca9558403105c52299f3c39f0b7444bc0025908620b0f89e57def0fd6504ae86

Observation f6ea0351-e6be-4fa9-8044-858587954065 · outbound

This paper cites Hybrid training of optical neural networks.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Hybrid training of optical neural networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.825103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.585522Z digest=sha256:12d05a61cfe5d913cc28fb34a03cba599ef854510548a653270908e96078e90c

Observation 5fcfcf35-6e5c-4be4-b181-74d41296db5e · outbound

This paper cites Signal propagation: The framework for learning and inference in a forward pass.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Signal propagation: The framework for learning and inference in a forward pass

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.806445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.590554Z digest=sha256:178e60205b3add09ebdb21959d40c9adb18a628cacfe9fa1624659eaf0cdb4c5

Observation eea5b510-b9db-4431-bebb-280bf835d18a · outbound

This paper cites The Forward-Forward Algorithm: Some Preliminary Investigations.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs The Forward-Forward Algorithm: Some Preliminary Investigations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:46:23.595642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:46:23.595642Z digest=sha256:86211b66b3534ee91d7fbf32f2d799a039f0f49393eabec52cd22d6aa677fc30

Observation 34ace6c6-4291-40a5-a51c-7a26607900ca · outbound

This paper cites Error-driven input modulation: Solving the credit assignment problem without a backward pass.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Error-driven input modulation: Solving the credit assignment problem without a backward pass

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.784775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.600901Z digest=sha256:e525ccafb9cd4fe3c2e6713f6add652f6d9b9d88b2f49dcfbc7f3c00dfc0f9d3

Observation 157cbeb2-fdb9-40b7-a089-01a249eae8cb · outbound

This paper cites Suitability of forward-forward and pepita learning to mlcommons-tiny benchmarks.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Suitability of forward-forward and pepita learning to mlcommons-tiny benchmarks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.765227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.606471Z digest=sha256:404b473d91232f012318c86b3a4e935f3eb0b14ff79916619c0f6402f2d4b020

Observation 057a76f9-2f5d-4b1c-9ee4-5e5e118e3c71 · outbound

This paper cites Fully forward mode training for optical neural networks.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Fully forward mode training for optical neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.744288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.611094Z digest=sha256:42596a7b2433f9e8b277d5551d4bdab77027ec63557ccd944fd77452fb6e8fbc

Observation 91c1c419-cec3-4231-a916-315cfc81ae0f · outbound

This paper cites Forward--forward training of an optical neural network.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Forward--forward training of an optical neural network

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.725332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.615828Z digest=sha256:5097ac8d38dff8901527102b616bf8da8083143d940b0a168ca7ac5c19b40144

Observation fc6a684d-a6c3-4f18-8ce8-ddc73501e714 · outbound

This paper cites Backpropagation-free training of deep physical neural networks.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs Backpropagation-free training of deep physical neural networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:46:23.707347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:46:23.620513Z digest=sha256:42e3d0f7532575162e6b65e9335287074ad0b2fa9883273856dfed3c29b84139

Observation 9c025320-19fb-439b-94f1-54ba446a2624 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs , " * write output.state after.block = add.period write newline

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:46:23.625309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:46:23.625309Z digest=sha256:e80610493e41dd112f333e36157869ca0eccfc48cdaa028c0fdde14028726d6d

Observation a8d59878-688c-4ae0-ad70-abe1c51689a6 · outbound

This paper cites write newline.

Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs write newline

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:46:23.630488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:46:23.630488Z digest=sha256:0fb464303b7f3d00ec7eb175e92714159d6ac968c290336538b504084790e02c

Pith citing papers

No inbound Pith citation observations are available.