Paper Citation Record · LEDGER

Unified Stochastic Framework for Neural Network Quantization and Pruning

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.18184.

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

pith.paper-citation-record.v1
2412.18184 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:04:32.530320Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

33 of 33 outbound references displayed

verified exact1
verified fuzzy15
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d065ed6-513c-487c-8866-eb7b7c3e6765 · outbound

This paper cites Alweiss, Y.

Unified Stochastic Framework for Neural Network Quantization and Pruning Alweiss, Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.994835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ff3ad40e-32b0-4def-aa94-d4d7608958c9 · outbound

This paper cites Ashkboos, M.

Unified Stochastic Framework for Neural Network Quantization and Pruning Ashkboos, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.984001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d83dbb3e-7d47-4d00-af00-84cc4ec0e964 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.972754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07fd1452-9e90-4309-8fe5-26632b250575 · outbound

This paper cites PACT: Parameterized Clipping Activation for Quantized Neural Networks.

Unified Stochastic Framework for Neural Network Quantization and Pruning PACT: Parameterized Clipping Activation for Quantized Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.411289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39bb298e-182f-4e77-9bf8-4438ca0d2dcb · outbound

This paper cites Choukroun, E.

Unified Stochastic Framework for Neural Network Quantization and Pruning Choukroun, E

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.960773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05086e11-5298-49d8-a767-4674412e0fa5 · outbound

This paper cites Accumulator-Aware Post-Training Quantization for Large Language Models.

Unified Stochastic Framework for Neural Network Quantization and Pruning Accumulator-Aware Post-Training Quantization for Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:04:32.650879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd3e40be-9f96-4763-819a-cad6636fbe23 · outbound

This paper cites Courbariaux, Y.

Unified Stochastic Framework for Neural Network Quantization and Pruning Courbariaux, Y

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.948958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1ed9c850-5bcd-4456-b170-3681407ff860 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.934866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3af018b4-9b33-425c-a570-2ccd6813b433 · outbound

This paper cites Frantar and D.

Unified Stochastic Framework for Neural Network Quantization and Pruning Frantar and D

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.922766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97d37b1e-94d5-4593-9cd9-26619160eb3d · outbound

This paper cites Frantar, S.

Unified Stochastic Framework for Neural Network Quantization and Pruning Frantar, S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.910882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 24bc5ccb-5fce-46c0-b8a9-efc4100a9feb · outbound

This paper cites Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.

Unified Stochastic Framework for Neural Network Quantization and Pruning Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.440692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55fc2d2b-a642-4c4a-aa07-386b1520fa63 · outbound

This paper cites Huang and N.

Unified Stochastic Framework for Neural Network Quantization and Pruning Huang and N

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.899393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd74817f-6ed4-419d-bbde-d4eb87db26f4 · outbound

This paper cites Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming.

Unified Stochastic Framework for Neural Network Quantization and Pruning Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.449288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c306291a-baa6-4afc-a1da-5780d99a8422 · outbound

This paper cites Jacob, S.

Unified Stochastic Framework for Neural Network Quantization and Pruning Jacob, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.887625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 334bd407-3803-42cb-9ad2-93044e50d8ff · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

Unified Stochastic Framework for Neural Network Quantization and Pruning SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.457160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a627ddf-5025-440a-ab13-32b93b1a87e9 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.875748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ef41e7b-d44c-4582-ad0e-3f25da63d63e · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.862947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12fc3043-400c-4390-93f5-9a8b268fc727 · outbound

This paper cites Lybrand and R.

Unified Stochastic Framework for Neural Network Quantization and Pruning Lybrand and R

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.850646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7aaf955e-027e-497d-9012-2bea5f8293aa · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.838151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 12521444-f5df-4930-853d-e66fff46aa89 · outbound

This paper cites Maly and R.

Unified Stochastic Framework for Neural Network Quantization and Pruning Maly and R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.825842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4f860b8-8ae6-48cf-a509-62e427d00684 · outbound

This paper cites Nagel, R.

Unified Stochastic Framework for Neural Network Quantization and Pruning Nagel, R

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.813092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ae62014-faff-46c5-899a-f93e9947edf3 · outbound

This paper cites Shaked and J.

Unified Stochastic Framework for Neural Network Quantization and Pruning Shaked and J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.799582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52540435-d35b-4c31-b8a9-604426b99c49 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.787411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50fee4cf-0060-47ad-a193-06b66e75cf1e · outbound

This paper cites Tanaka, D.

Unified Stochastic Framework for Neural Network Quantization and Pruning Tanaka, D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.772992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ca4cf1ac-3f81-4bba-902a-ffc671b681d7 · outbound

This paper cites Picking Winning Tickets Before Training by Preserving Gradient Flow.

Unified Stochastic Framework for Neural Network Quantization and Pruning Picking Winning Tickets Before Training by Preserving Gradient Flow

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.497801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83fa555-ab1e-483c-92c2-274f12bfd98e · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.758486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b76eda14-c8c4-41b0-8e5c-62027a57f328 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.743011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c147401-e448-4e1f-800f-7b2697ed7995 · outbound

This paper cites Zhang, J.

Unified Stochastic Framework for Neural Network Quantization and Pruning Zhang, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.729163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87208147-9d27-43ac-a98e-2add23867634 · outbound

This paper cites SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization.

Unified Stochastic Framework for Neural Network Quantization and Pruning SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.514562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5bc2c9-c1ef-4158-8b09-b6189dcb7609 · outbound

This paper cites Zhang, Y.

Unified Stochastic Framework for Neural Network Quantization and Pruning Zhang, Y

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:04:32.715936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e274ca7-4256-44d8-8496-023a0c25f2f4 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.703144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 82607559-69a3-45a6-9e01-ba0550f6e843 · outbound

This paper cites an unresolved cited work.

Unified Stochastic Framework for Neural Network Quantization and Pruning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:04:32.685905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c4c72ba-53f3-48de-a44e-916f05807ab0 · outbound

This paper cites Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights.

Unified Stochastic Framework for Neural Network Quantization and Pruning Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T05:04:32.530320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.