Paper Citation Record · LEDGER

Training and Inference with Integers in Deep Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1802.04680.

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

pith.paper-citation-record.v1
1802.04680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:19:02.739548Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T23:06:37.351791Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 62640ac9-84f5-49c3-983e-5a3df540eaac · inbound

QUOTIENT: Two-Party Secure Neural Network Training and Prediction cites this paper.

QUOTIENT: Two-Party Secure Neural Network Training and Prediction Training and Inference with Integers in Deep Neural Networks

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:35:10.901131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a0ce02a-27cd-472c-ba16-c7bd071cb72f · inbound

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization cites this paper.

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization Training and Inference with Integers in Deep Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T14:19:02.739548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0363ad4c-a7c8-4c31-b95f-270b8471b006 · inbound

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers cites this paper.

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers Training and Inference with Integers in Deep Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:55:40.097931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15abd36-b362-41b4-ac51-164b39a21e4e · inbound

Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory cites this paper.

Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory Training and Inference with Integers in Deep Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T17:19:05.726112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed31636e-b0d1-4176-ad4b-9f299942cbcd · inbound

Exploring Vision Neural Network Pruning via Screening Methodology cites this paper.

Exploring Vision Neural Network Pruning via Screening Methodology Training and Inference with Integers in Deep Neural Networks

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:35:21.038411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37a05b00-9283-4024-9987-4eb4d9ec0293 · inbound

Refining Datapath for Microscaling ViTs cites this paper.

Refining Datapath for Microscaling ViTs Training and Inference with Integers in Deep Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:17.550384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a7f6e0e-1eb1-43c2-977d-e86dc009be8f · inbound

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models cites this paper.

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models Training and Inference with Integers in Deep Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T14:51:29.998997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc152c6a-8e49-4ee8-9afe-af9a7abdbd0e · inbound

Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization cites this paper.

Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization Training and Inference with Integers in Deep Neural Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-09T23:06:37.352960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7d6d94c7-b24b-4ff5-8902-0908deeff82e · inbound

APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning cites this paper.

APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning Training and Inference with Integers in Deep Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T12:00:53.848227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.