Paper Citation Record · LEDGER

ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.10469.

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

pith.paper-citation-record.v1
2302.10469 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:17.349899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:15:51.769477Z

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 a88a3fa7-7153-4ee7-8862-42f864dca573 · inbound

Adaptive Soft Error Protection for Neural Network Processing cites this paper.

Adaptive Soft Error Protection for Neural Network Processing ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:15:51.774246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5df78817-73bd-40cc-8c4f-fc9e880a10fb · inbound

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters cites this paper.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:17.349899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd30ca60-d1c9-4606-802d-66762c458f80 · inbound

Custom Algorithm-based Fault Tolerance for Attention Layers in Transformers cites this paper.

Custom Algorithm-based Fault Tolerance for Attention Layers in Transformers ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:14.722039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6752574-2a55-4cd8-955b-053ec1b20ad9 · inbound

DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference cites this paper.

DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:35:58.663704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.