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Paper Citation Record · LEDGER

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification

As of 22 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2411.19422.

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

pith.paper-citation-record.v1
2411.19422 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:14:38.428117Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a71ce70-3579-4e33-8f93-cb10b99b3182 · outbound

This paper cites Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.624249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.370926Z digest=sha256:a1dd14368db3e028c87996d928d426bf903103a5586fc3455a2b65a5455d2cd1

Observation da6a5142-a934-4332-aa51-ced357b608e1 · outbound

This paper cites Wafer map failure pattern recognition and similarity ranking for large-scale datasets,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Wafer map failure pattern recognition and similarity ranking for large-scale datasets,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.603972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.383018Z digest=sha256:9eb587833ecac3a0954eb576b3e616dcdaadc37b2a1a79361a5c3d54013db298

Observation 9f3fc823-f5df-48be-8966-bdc744dc181e · outbound

This paper cites Which model to use for cortical spiking neurons?,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Which model to use for cortical spiking neurons?,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.588554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.388732Z digest=sha256:aacbbd473c3590798b9cd562232ea0f8ed2f74cf4173645edf0c653e93547b00

Observation 907eec8f-692c-4145-882f-fe0e20cfa7c2 · outbound

This paper cites Spatio-temporal backpropagation for training high-performance spiking neural networks,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Spatio-temporal backpropagation for training high-performance spiking neural networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.573695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.395048Z digest=sha256:f8cbb052fd31a44cc4fc666f9fd0862255c6a52047c8d47e2cb0c1b30afd147f

Observation f2c14eb7-b4ae-4bcb-bf0b-1a8342d37445 · outbound

This paper cites Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T10:14:38.401914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:14:38.401914Z digest=sha256:91dd5a309a8027cf07253e65aea4a3cb745ab03274abe80883e848a1c70aa8bb

Observation ea77dbca-4e2b-4d7f-9d42-94f962a3ddf6 · outbound

This paper cites Wafer map defect patterns classification using deep selective learning,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Wafer map defect patterns classification using deep selective learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.560046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.408297Z digest=sha256:dadf0927a8cd9e23d7cb1e991d07b3d77f4a7ae6f4794d4c12ec5ef9e8721706

Observation c71dfb57-1faa-4f61-b1c9-45729c5f9a22 · outbound

This paper cites Brain-inspired computing for wafer map defect pattern classification,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Brain-inspired computing for wafer map defect pattern classification,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.539444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.412936Z digest=sha256:4d3167494e9ab3f624e82265c216337b31abdc3d59db79cd4d0c9d78f1e79c0f

Observation 761d5af5-24b6-4210-8357-d4dde762d5c8 · outbound

This paper cites A light-weight neural network for wafer map classification based on data augmentation,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification A light-weight neural network for wafer map classification based on data augmentation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.522988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.418130Z digest=sha256:bb8771aaae833f504042060c6a6ea7c05b19ecb0b9adc436e18f199b392bdcb4

Observation ab2f4f5c-f800-4578-952b-c8166de56b2b · outbound

This paper cites Wafer map defect classification based on the fusion of pattern and pixel information,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Wafer map defect classification based on the fusion of pattern and pixel information,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.504849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.424000Z digest=sha256:01ceb999de303bee649db2cbfafda7bbf8597866443e5906cc4b2afec0239f38

Observation bc93b25e-0b9c-474d-b4da-bdab65fb6933 · outbound

This paper cites Neuromorphic architectures for spiking deep neural networks,.

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification Neuromorphic architectures for spiking deep neural networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:14:38.489393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T10:14:38.428117Z digest=sha256:0d09d87347143b652de23948e5fd8bc4fb1e1eb7625961b99b8677aabb425257

Pith citing papers

No inbound Pith citation observations are available.