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Paper Citation Record · LEDGER

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.03816.

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

pith.paper-citation-record.v1
2507.03816 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:04:18.315405Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbfcbe9c-6a69-4bfe-a743-7d619d10dfa8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

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no resolver link, observed 2026-08-06T20:04:16.369827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a33aaa47-4678-43ce-a994-fe0b59c32c9f · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 2

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no resolver link, observed 2026-08-06T20:04:16.439927Z

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Unavailable: canonical work link unavailable.

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Observation d17856a2-b42c-44bc-b094-00f4b28cc9a5 · outbound

This paper cites Transformers in vision: A survey.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Transformers in vision: A survey

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 83bce51c-0c30-42ea-ba98-f28e92e8ce81 · outbound

This paper cites Touvron et al.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Touvron et al

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e2c37eef-c0de-4f09-b87d-f01e7ad43a7f · outbound

This paper cites Vision Transformer for Detecting Critical Situations And Extracting Functional Scenario for Automated Vehicle Safety Assessment.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Vision Transformer for Detecting Critical Situations And Extracting Functional Scenario for Automated Vehicle Safety Assessment

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:21.055999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0e344012-68fb-4223-bd72-456a7e4da16c · outbound

This paper cites A low -cost fault corrector for deep neural networks through range restriction.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters A low -cost fault corrector for deep neural networks through range restriction

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c5f9aadc-a785-4b6a-b246-3eb40097a6a3 · outbound

This paper cites Optimizing selective protection for CNN r esilience.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Optimizing selective protection for CNN r esilience

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:20.391255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1b7fabff-bb70-40ad-9822-740408d5871c · outbound

This paper cites Algorithm -based fault tolerance for matrix operations.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Algorithm -based fault tolerance for matrix operations

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:20.123388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

This paper cites ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Neural Network Processing.

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

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d2567843-3a02-40e7-b351-d8428dc0bf55 · outbound

This paper cites Error Resilient Transformers: A Novel Soft Error Vulnerability Guided Approach to Error Checking and Suppression.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Error Resilient Transformers: A Novel Soft Error Vulnerability Guided Approach to Error Checking and Suppression

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:19.894775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9b93f1ac-1421-4767-b244-cc69b19fdee6 · outbound

This paper cites ALBERTA: ALgorithm -Based Error Resilience in Transformer Architectures.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters ALBERTA: ALgorithm -Based Error Resilience in Transformer Architectures

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:19.629409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0e15ced7-3de1-4315-8844-f3bbf7b6e45c · outbound

This paper cites DeepViT: Towards Deeper Vision Transformer.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters DeepViT: Towards Deeper Vision Transformer

Reference 12

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unresolved
no resolver link, observed 2026-08-06T20:04:17.826447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9373c12a-1ce5-4492-967c-c35063c53d32 · outbound

This paper cites MATIC: Learning around errors for efficient low - voltage neural network accelerators.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters MATIC: Learning around errors for efficient low - voltage neural network accelerators

Reference 13

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verified exact
raw_fallback, observed 2026-08-06T20:04:18.655578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7ec6ca5a-2e33-464b-b090-e09a67e92a47 · outbound

This paper cites Evaluating fault re siliency of compressed deep neural networks,.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Evaluating fault re siliency of compressed deep neural networks,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:19.346779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e35db980-ccd7-47be-9ab1-257f69379258 · outbound

This paper cites Zero-overhead protection for cnn weights.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Zero-overhead protection for cnn weights

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:19.152737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T20:04:18.244343Z digest=sha256:41765fa362af18d60b49221a2d8de49405591c2f9cd2af151296173a3649bd30

Observation cbd15552-d1d2-443e-8dcf-f2e7b6949dd6 · outbound

This paper cites Soft error reliability analysis of vision transformers.

Zero Memory Overhead Approach for Protecting Vision Transformer Parameters Soft error reliability analysis of vision transformers

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T20:04:18.879041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T20:04:18.315405Z digest=sha256:de110ab82e87f654a29c5b266a154a7d268f39471f6b48a20d41ca4d17e8fd61

Pith citing papers

No inbound Pith citation observations are available.