Paper Citation Record · LEDGER

Optimizing Deep Neural Networks using Safety-Guided Self Compression

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.00350.

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

pith.paper-citation-record.v1
2505.00350 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:17.794944Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 fuzzy6
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c141e4f8-d2cb-4165-8daa-5a4b7b78d2eb · outbound

This paper cites Safety and performance, why not both? bi-objective optimized model compression toward ai software deployment,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Safety and performance, why not both? bi-objective optimized model compression toward ai software deployment,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.698389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c4760d-ef74-4ec4-9f3f-70a12a249ab7 · outbound

This paper cites A Survey on Transformer Compression.

Optimizing Deep Neural Networks using Safety-Guided Self Compression A Survey on Transformer Compression

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.705670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc3ded8-c9c2-4e46-9652-a97555e98259 · outbound

This paper cites Safety and performance, why not both? bi-objective optimized model compression against het- erogeneous attacks toward ai software deployment,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Safety and performance, why not both? bi-objective optimized model compression against het- erogeneous attacks toward ai software deployment,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.292008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c925e1c7-d82c-4e44-a8da-23b42890dc2b · outbound

This paper cites Optimal brain damage,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Optimal brain damage,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.270750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbc0c179-2156-4f52-a0a8-7eb3832760de · outbound

This paper cites Channel pruning for accelerating very deep neural networks,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Channel pruning for accelerating very deep neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.245375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3244a517-a5cb-4324-8219-40f9b2889564 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.741119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35ae700-6aae-41da-a536-611404881751 · outbound

This paper cites From near-symplectic constructions to trisections of 4-manifolds.

Optimizing Deep Neural Networks using Safety-Guided Self Compression From near-symplectic constructions to trisections of 4-manifolds

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.747951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c3503b-5588-446c-aa67-76b6ee35a6d0 · outbound

This paper cites Xnor-net: Imagenet classification using binary convolutional neural networks,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Xnor-net: Imagenet classification using binary convolutional neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.216825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed400d41-785d-4a92-9bc8-42264ba6e0bd · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression The mnist database of handwritten digit images for machine learning research,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.760471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 077ac4b2-7920-4fca-9465-6715a874cde6 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.766418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff846369-d553-4773-bb68-bab5320ca6cc · outbound

This paper cites Understanding Uncertainty Sampling via Equivalent Loss.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Understanding Uncertainty Sampling via Equivalent Loss

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.771976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78584c3d-cce4-4cc7-b433-ee3c963e261a · outbound

This paper cites Self-Compressing Neural Networks.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Self-Compressing Neural Networks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:49:17.902123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e969d57-068c-4362-ae17-3e0f9c9a54c6 · outbound

This paper cites Understanding straight-through estimator in training activation quantized neural nets,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Understanding straight-through estimator in training activation quantized neural nets,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.175336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13d41ca8-7922-4259-a747-06b71d981a56 · outbound

This paper cites On the size of convolutional neural networks and generalization performance,.

Optimizing Deep Neural Networks using Safety-Guided Self Compression On the size of convolutional neural networks and generalization performance,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:18.153407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6ef5d13-7a7a-4aea-b607-fece5728d620 · outbound

This paper cites Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:17.789157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.