Paper Citation Record · LEDGER

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.12906.

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

pith.paper-citation-record.v1
2505.12906 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:19.260644Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

35 of 35 outbound references displayed

verified exact10
verified fuzzy4
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ab0b990-9f7d-4265-b0f2-90f5ac4d1078 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.090712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7268c27e-9701-4633-be32-935b7c79eaff · outbound

This paper cites Shen, N .C.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Shen, N .C

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.096652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9168d24-cad5-4d20-8791-87a5c1ffd50a · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.602980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24538ce3-52ac-4075-83fb-3ce64218bb0c · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:28:20.117307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47364c7b-5508-4647-b466-958b035f2a00 · outbound

This paper cites On-Chip Optical Convolutional Neural Networks.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning On-Chip Optical Convolutional Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.111793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949d2e10-7673-43ae-91cc-d0147ae42535 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-15T20:28:19.914220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2503b5e-3477-4803-9781-040a65f14b70 · outbound

This paper cites Orabona, T.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Orabona, T

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:20.102089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 688722ef-362a-4390-9225-d6b8429da31e · outbound

This paper cites Mixing ADAM and SGD: a Combined Optimization Method.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Mixing ADAM and SGD: a Combined Optimization Method

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:28:19.572058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9331732-8122-442a-83b4-c64c98804b04 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:28:20.073484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f8e4215-d464-4525-860a-d2bb5162cf1b · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.550394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecdba004-b498-48db-9af9-01b079f5870e · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:28:20.057360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97768885-27ba-4bef-8d18-0d1fbe108cff · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:28:20.042460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82d25ba9-14e4-40bd-8f9e-0438042073e5 · outbound

This paper cites Self-learning photonic signal processor with an optical neural network chip.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Self-learning photonic signal processor with an optical neural network chip

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.152690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b9945a-a497-4faa-b1ac-0454c1b6a3dd · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.519918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb4c1168-f2cc-4ee4-b59f-8f68b15acd1c · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.165289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf624ff-4b21-428a-8446-20df9d7d4513 · outbound

This paper cites Zhang, J.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Zhang, J

Reference 16

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.490538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 01235c68-a183-4012-8628-b53f4f49de88 · outbound

This paper cites Hansen, S.D.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Hansen, S.D

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.174906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5127cebb-b523-43e9-bf23-ddf14dc9abe3 · outbound

This paper cites Chang, K.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Chang, K

Reference 18

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.464258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f35b73f-954c-480a-9de5-cecaecf5940d · outbound

This paper cites Miyatake, K.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Miyatake, K

Reference 19

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.448803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52bd6ccf-8b74-4a19-9f1d-daf4b27c51f3 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T20:28:19.834919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c660ef18-6d6e-4971-905f-6ba1987536f8 · outbound

This paper cites Lawson, R.J.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Lawson, R.J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:20.027762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee4291ad-5610-4503-a701-cf4593888576 · outbound

This paper cites Clements, P.C.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Clements, P.C

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.199786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfe63ec-a918-4731-b52a-3937bd4c5c39 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.424740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9b63bb7-9179-4aaa-8222-919f4f2d8503 · outbound

This paper cites Bartlett, M.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Bartlett, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:20.012634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f61ec0ea-ce2f-421c-9196-622bffa2b623 · outbound

This paper cites Shokraneh, M.S.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Shokraneh, M.S

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.213676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2997bd3-c017-4885-9b8a-69dab9f6719f · outbound

This paper cites Vivien, A.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Vivien, A

Reference 26

Resolution: verified exact; doi, observed 2026-08-15T20:28:19.408570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b2fa34a-3234-4fc5-ae89-f28f13ba0e90 · outbound

This paper cites Autere, H.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Autere, H

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.222802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dcb3756-b779-4f66-b82c-deb08a7ea02c · outbound

This paper cites Shorten, T.M.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Shorten, T.M

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.227779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae29ced-cda5-4a13-b393-3e221dda073a · outbound

This paper cites LeCun, The MNIST database of handwritten digits, http://yann.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning LeCun, The MNIST database of handwritten digits, http://yann

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:28:19.994618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15862d2b-72d6-436c-b5eb-3431b4f62991 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Adam: A Method for Stochastic Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.236547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3128a22f-cf02-49cb-a80e-f3fbe868218c · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.241583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e66bb20-db58-4c6f-80bc-7d602d0f4b25 · outbound

This paper cites cuDNN: Efficient Primitives for Deep Learning.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning cuDNN: Efficient Primitives for Deep Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.246698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40527684-7e79-4c15-b599-46fb304381ea · outbound

This paper cites Banerjee, M.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Banerjee, M

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.251748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28100eb1-b8c6-4e93-8400-0be2ac867329 · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.256280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8aa651d-0981-4abf-9174-fd15af52cfca · outbound

This paper cites an unresolved cited work.

Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:19.260644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.