Paper Citation Record · LEDGER

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.09399.

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

pith.paper-citation-record.v1
2607.09399 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:18:58.883951Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact9
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d577bb15-b1ad-428e-8e71-9b73fef75558 · outbound

This paper cites Differentiable Weightless Neural Networks.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Differentiable Weightless Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c236bf-536c-48cf-a468-1029f4ba1a5d · outbound

This paper cites Trends in.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Trends in

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69cd8675-c213-47a9-af15-8f23f727eeff · outbound

This paper cites and Pedroni, Bruno U.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks and Pedroni, Bruno U

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.395755Z

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 90cb1abb-2b09-4a60-84b9-c7afbd7ce1b6 · outbound

This paper cites and Ward, Max and Neftci, Emre O.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks and Ward, Max and Neftci, Emre O

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6035caf1-ca60-41af-aab6-d61020bc4c15 · outbound

This paper cites Quantized.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Quantized

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1e5fe7-f771-4d04-827c-9b4464814f8e · outbound

This paper cites Spiking-.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Spiking-

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f1b1f4-f99f-4c43-b5a7-76d92c1f648b · outbound

This paper cites The Yin-Yang dataset.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks The Yin-Yang dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a933519-adbd-4f6e-a6f7-04ee297453a8 · outbound

This paper cites 1998 , howpublished =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks 1998 , howpublished =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2861681e-b53c-4daa-bb8f-dd868b35b124 · outbound

This paper cites Stochastic.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Stochastic

Reference 9

Resolution: verified exact; doi, observed 2026-07-13T03:19:17.347911Z

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 64ab515f-a7d3-4eeb-8034-fb00580b7572 · outbound

This paper cites Convolutional.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Convolutional

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44cfbf9-e2a6-4d1e-af0f-928bad001583 · outbound

This paper cites an unresolved cited work.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1a5443-dc66-48ca-b32f-116a4c26320a · outbound

This paper cites an unresolved cited work.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5992254e-cc96-4aad-80b7-8a0d76a3cb95 · outbound

This paper cites Computer.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Computer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d1cda1-cd13-458d-a701-23272f50f3ed · outbound

This paper cites doi:10.1109/TCAD.2018.2819366 , urldate =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks doi:10.1109/TCAD.2018.2819366 , urldate =

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.367326Z

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 a7910aee-4628-476e-a285-0ba1b14d1390 · outbound

This paper cites Nature Computational Science , volume =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Nature Computational Science , volume =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0fa07f-f5c1-4d08-836a-a73e655bdaa1 · outbound

This paper cites an unresolved cited work.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1310200d-f523-4348-af12-eda6e69346bc · outbound

This paper cites LUTNet: Rethinking Inference in FPGA Soft Logic.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks LUTNet: Rethinking Inference in FPGA Soft Logic

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-13T03:19:17.413327Z

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 bd680e02-f35b-4925-a6b0-d349ca316932 · outbound

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

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6e16c5-19b0-4e41-8700-1033f3fba7d8 · outbound

This paper cites IEEE Access , author =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks IEEE Access , author =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e11c39f-21f2-43cf-bb86-230d1b967861 · outbound

This paper cites Inter-patient.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Inter-patient

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.426348Z

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 602687f5-d376-4f21-99f4-4d43d623137e · outbound

This paper cites Recurrent Deep Differentiable Logic Gate Networks.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Recurrent Deep Differentiable Logic Gate Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a6e1faf-5c51-421c-a0bb-0ac90789c2a3 · outbound

This paper cites LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-13T03:19:17.388410Z

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 f7f77c81-8585-413b-987d-3fd664aa9590 · outbound

This paper cites doi:10.48550/arXiv.2510.15655 , abstract =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks doi:10.48550/arXiv.2510.15655 , abstract =

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.425973Z

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 ccd39994-5978-47bb-8ca3-5bf5bc10d51f · outbound

This paper cites 2020 30th.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks 2020 30th

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfe4db7-b4c4-4204-806c-299a0ba79028 · outbound

This paper cites , month = dec, year =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks , month = dec, year =

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d17e4b5-d1d0-4394-9aa4-294a1a6bfbba · outbound

This paper cites , month = sep, year =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks , month = sep, year =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba559a8-db3a-428a-9bc1-3519d9e46d57 · outbound

This paper cites an unresolved cited work.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Unresolved cited work

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.362792Z

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 834ebc5a-2348-4550-9e75-2b5ee593590a · outbound

This paper cites Neural Networks , author =.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Neural Networks , author =

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-13T03:19:17.480000Z

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 354c410e-a267-461a-83bc-ed62a4cb8080 · outbound

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

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b4bd67-26f1-422f-9355-09afbe94b2d3 · outbound

This paper cites Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd8836c-f083-4589-90c5-51bb3c688011 · outbound

This paper cites Evolution.

Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks Evolution

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:58.883951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.