Paper Citation Record · LEDGER

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks

As of 17 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:1909.00052.

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

pith.paper-citation-record.v1
1909.00052 v3

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:06:53.975703Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

9 of 9 outbound references displayed

verified exact0
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f334df95-318b-48f4-b1c7-1f384a330b89 · outbound

This paper cites an unresolved cited work.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:06:54.096112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18b165b3-d548-4cf6-9da1-9a51c7439dbd · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.947949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c849b1-8ed1-4c5d-a911-444d1a060fa7 · outbound

This paper cites Weight Agnostic Neural Networks.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Weight Agnostic Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.952283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2dfc277-824d-4b54-9bc7-b599d1bd4b7f · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.956409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0139ef4-230c-4244-baca-1ecc76f76ebd · outbound

This paper cites an unresolved cited work.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:06:54.085210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8f3d18b-4a08-4a9f-9da2-8866a4151682 · outbound

This paper cites and Hinton, G.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks and Hinton, G

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.964091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e98c561-f83f-48fa-b4f3-d4fd8fd6819d · outbound

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

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.967827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48dc11b-dcd1-4193-b561-ffbc1641decb · outbound

This paper cites Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.971997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292db854-cd7d-4d91-8842-dc486d0bdd5d · outbound

This paper cites write newline.

Learning Digital Circuits: A Journey Through Weight Invariant Self-Pruning Neural Networks write newline

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T10:06:53.975703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.