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Paper Citation Record · LEDGER

On the Depth Scalability of Logic Gate Networks

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.21633.

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

pith.paper-citation-record.v1
2607.21633 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:10:02.245453Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d4b96d3-8511-49de-9f93-93186ba70b77 · outbound

This paper cites Proceedings of the Eighteenth Annual ACM Symposium on Theory of Computing , pages =.

On the Depth Scalability of Logic Gate Networks Proceedings of the Eighteenth Annual ACM Symposium on Theory of Computing , pages =

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.043055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.043055Z digest=sha256:9fb9c07b912eb48feb312526b03f09c183a60bcb499dceea6bb53cffc91e4559

Observation aabcad6d-4c72-4a7a-874f-9df04e900452 · outbound

This paper cites Weight Agnostic Neural Networks , volume =.

On the Depth Scalability of Logic Gate Networks Weight Agnostic Neural Networks , volume =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.106874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.106874Z digest=sha256:5037592fdcca5586c93aad9fa10b0da5de17b3433248e2ee04b91e0b44699923

Observation 78ee229f-4f1a-40c2-b84c-ef81633df646 · outbound

This paper cites 2025 , eprint=.

On the Depth Scalability of Logic Gate Networks 2025 , eprint=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.211976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.211976Z digest=sha256:5b5ca45a217d923e6a798cec05738b8f36156d05996bf1ad8e3a64ce92db4b02

Observation de43397a-117f-4696-8f7c-7a47944ee3b2 · outbound

This paper cites Deep Differentiable Logic Gate Networks , volume =.

On the Depth Scalability of Logic Gate Networks Deep Differentiable Logic Gate Networks , volume =

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.302249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.302249Z digest=sha256:85410a6102739d9bdaa26d8b8cc345ed846a9395b19430d01219a9f9d2281432

Observation 39b3321c-d47c-441e-a8be-d55b6dc64468 · outbound

This paper cites Convolutional Differentiable Logic Gate Networks , volume =.

On the Depth Scalability of Logic Gate Networks Convolutional Differentiable Logic Gate Networks , volume =

Reference 5

Resolution
verified exact
doi, observed 2026-08-01T18:13:31.047375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T18:10:01.393821Z digest=sha256:d5cd8e18b6a87480fea198a45d67e8e707a84237b96efaf9afc30e8a73df11b2

Observation ab87dd51-a797-419d-a79e-40ded39f802c · outbound

This paper cites Advances in Neural Information Processing Systems , doi =.

On the Depth Scalability of Logic Gate Networks Advances in Neural Information Processing Systems , doi =

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.475497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.475497Z digest=sha256:b667a770a7acf223651ad2c3e63d059def2ca369ab4717635017dd61876e682b

Observation d5c903db-7ea9-41b5-a0bf-ca5fbb2f668c · outbound

This paper cites arXiv , primaryClass=.

On the Depth Scalability of Logic Gate Networks arXiv , primaryClass=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.528789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.528789Z digest=sha256:2e5e60b52f3ed087dc052851333f73d10f2873082671b5bc91043b32ec8a732c

Observation 2b061799-7403-430e-a0ee-71cc86a9be54 · outbound

This paper cites arXiv , primaryClass=.

On the Depth Scalability of Logic Gate Networks arXiv , primaryClass=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.594720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.594720Z digest=sha256:983c725f732ad60e3c863c3436c70006ac87a7583bd80ce552ba3371528ef54a

Observation 1ea97980-0358-4190-b6bb-c87c3b07cc81 · outbound

This paper cites Proceedings of the International Conference on Neuro-symbolic Systems , pages=.

On the Depth Scalability of Logic Gate Networks Proceedings of the International Conference on Neuro-symbolic Systems , pages=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.651211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.651211Z digest=sha256:ee8f97ff5859374403554a16211b8d7cd18da7bc9d469330b8fb963278bc37ce

Observation d5afbaed-eb09-49bd-8dc9-f45c69f7d74f · outbound

This paper cites arXiv , primaryClass=.

On the Depth Scalability of Logic Gate Networks arXiv , primaryClass=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.730639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.730639Z digest=sha256:c35bd4806c41e92acf18f788d59909d2d537eef4e5d13cbb3d38165787f7c0d6

Observation 5a5a8eb5-9a5d-4eb8-842e-4a1342a8912b · outbound

This paper cites Deep Stochastic Logic Gate Networks , year=.

On the Depth Scalability of Logic Gate Networks Deep Stochastic Logic Gate Networks , year=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.873896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.873896Z digest=sha256:051838116461080cafa4438cd7931cb73b874520496abc161681242f3821a0e8

Observation 00b3c07a-5e67-411b-8371-8188cb03bb08 · outbound

This paper cites How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?.

On the Depth Scalability of Logic Gate Networks How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:01.975821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:01.975821Z digest=sha256:a72672d81d872785c5fe3558d6262f514b5c5e2ea2cd7ddf5d91a09878387bd9

Observation 0c2257e3-e9ab-4f71-a83c-2738e8d0113b · outbound

This paper cites arXiv , primaryClass=.

On the Depth Scalability of Logic Gate Networks arXiv , primaryClass=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:02.102523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:02.102523Z digest=sha256:3a8bcfbbfe1518365c1953ea98f1fdcc8f7ada0d187e3ccbaa35778a1c9a9045

Observation a1ec9cb7-a210-4347-91ee-65ce27798d71 · outbound

This paper cites 2026 , eprint=.

On the Depth Scalability of Logic Gate Networks 2026 , eprint=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:02.162568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:02.162568Z digest=sha256:47ba5ad7b49d94129993b522f59b3a4d708f505ec927109c98f02b31b9bbb0c5

Observation f4909c35-8d52-4b1e-b7f7-d7823d769cde · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , month =.

On the Depth Scalability of Logic Gate Networks Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , month =

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T18:10:02.245453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:10:02.245453Z digest=sha256:1ea9c986dd0275ef7a31280eadb367a3a1f627fdc5c9dda4f5b89f4bdace8fec

Pith citing papers

No inbound Pith citation observations are available.