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Paper Citation Record · LEDGER

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.05531.

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

pith.paper-citation-record.v1
2507.05531 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:31:45.691162Z

measured 34 of 34 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

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0e57ae1-79cb-4b06-bc20-3ef18655116f · outbound

This paper cites Regnn: A redundancy- eliminated graph neural networks accelerator.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Regnn: A redundancy- eliminated graph neural networks accelerator

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.460842Z

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.

source=pdf_text observed=2026-08-06T19:31:43.061207Z digest=sha256:475e2eb3b3bd7a7b393a1e0ecabea4e8690c5077a04d352fc8bc290fd7c5551a

Observation bae345e4-4ca2-4360-9b6d-e6ea4762e7d9 · outbound

This paper cites an unresolved cited work.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-06T19:31:46.436468Z

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.

source=pdf_text observed=2026-08-06T19:31:43.081173Z digest=sha256:d8216f19456ce96cbde9c8eac83c52c4d7d692fe7fe909d175735e2908ba076e

Observation 29c3ef09-37c6-43cb-a24c-471f9318f839 · outbound

This paper cites M., R AFATIRAD , S., PUDUKOTAI DINAKARRAO , S.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search M., R AFATIRAD , S., PUDUKOTAI DINAKARRAO , S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.412268Z

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.

source=pdf_text observed=2026-08-06T19:31:43.115842Z digest=sha256:ced9112f91352e1635118ab4042ecc0acb8461a886283486ff4d68af2046ab3d

Observation 0c5a0d66-34a5-4af3-a535-431e338f6204 · outbound

This paper cites Global explanation supervision for graph neural networks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Global explanation supervision for graph neural networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.394026Z

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.

source=pdf_text observed=2026-08-06T19:31:43.192184Z digest=sha256:6ff2049af9b9d079e34594de720f60980af15925099da06730874c619311154f

Observation 27622589-77a2-4363-ba63-c3d07b4a5c48 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Fast Graph Representation Learning with PyTorch Geometric

Reference 5

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unresolved
no resolver link, observed 2026-08-06T19:31:43.238955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:43.238955Z digest=sha256:d2b010df2e286be89ed26c148284e3702fd186614a46b70e0e4accbd9a5a3a72

Observation 106339d4-f83b-40b1-b10d-badf44fb09cf · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Explaining and Harnessing Adversarial Examples

Reference 6

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unresolved
no resolver link, observed 2026-08-06T19:31:43.320049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:43.320049Z digest=sha256:05cf42c51ff50bd8ed677772b6e0c6250f718db04287deab0c056d04c0f92476

Observation e701a71a-d00f-4dbb-b19f-91aad896cae7 · outbound

This paper cites I., S ABER LATIBARI , B., S RIKANTH , A., S HEAVES , T., BEHESHTI -S HIRAZI , S.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search I., S ABER LATIBARI , B., S RIKANTH , A., S HEAVES , T., BEHESHTI -S HIRAZI , S

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.365123Z

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.

source=pdf_text observed=2026-08-06T19:31:43.409855Z digest=sha256:41a8bc914562185404fe58aa46df6fde9f1ff5c9080354ae92f7bf15c4899331

Observation 8a5ed475-9ea3-428b-b857-59a822a6f4c1 · outbound

This paper cites an unresolved cited work.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:31:46.341152Z

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.

source=pdf_text observed=2026-08-06T19:31:43.507022Z digest=sha256:043ed3b1c37d82efeb3a6bc3449ba7499e8c23ad68e892f32b16e9064e6db1bd

Observation c3e7a7c2-7132-4afb-b87d-8256ab52f484 · outbound

This paper cites Terminal brain damage: Exposing the graceless degradation in deep neural networks under hardware fault attacks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Terminal brain damage: Exposing the graceless degradation in deep neural networks under hardware fault attacks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.315638Z

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.

source=pdf_text observed=2026-08-06T19:31:43.587614Z digest=sha256:35befe5b276bf6d0197e48a2754d597937671cce1c5266e1cb467e6decbf452d

Observation 7b17355e-4b43-4d16-abe9-7d858674a1a7 · outbound

This paper cites Deepsniffer: A dnn model extrac- tion framework based on learning architectural hints.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Deepsniffer: A dnn model extrac- tion framework based on learning architectural hints

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.295900Z

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.

source=pdf_text observed=2026-08-06T19:31:43.664118Z digest=sha256:9b545a17ae35b9933f36ebcdb4b3e341579671bdb5bfb7188356cabbd03d238b

Observation c98dc459-fd5f-46cb-a108-799264b65ed3 · outbound

This paper cites A survey on convolutional neural network accelerators: Gpu, fpga and asic.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search A survey on convolutional neural network accelerators: Gpu, fpga and asic

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.277400Z

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.

source=pdf_text observed=2026-08-06T19:31:43.732624Z digest=sha256:6e6e69e406d3ebdda482bf6027331e7d5c0334accb53b26e6698eafa0edc9682

Observation 74b8cee4-1542-4608-a5cd-2d0a6f6c634f · outbound

This paper cites Adversarial attacks and defenses on graphs.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Adversarial attacks and defenses on graphs

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.257309Z

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.

source=pdf_text observed=2026-08-06T19:31:43.805287Z digest=sha256:b1fd3015ccf9ffc2a3bc42ba77e46d151b27a4848ef142b87fd80f6dd168e9ee

Observation 945bd5b7-4b6e-4428-9b5b-6fb4816e2aa9 · outbound

This paper cites H., L EE, D., WILKERSON , C., L AI, K., AND MUTLU , O.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search H., L EE, D., WILKERSON , C., L AI, K., AND MUTLU , O

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.233779Z

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.

source=pdf_text observed=2026-08-06T19:31:43.856478Z digest=sha256:e0d4870598eebe955840e1244b0a23ae9fac4701565d7413d71265c5131eacd1

Observation deb99edf-beb7-4a2d-ba21-a53b01b21054 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Semi-Supervised Classification with Graph Convolutional Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:43.948772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:43.948772Z digest=sha256:d632fab917b2d05b9e0c24e2b84ec88f7dafe8907924ef9686cc445238bcc675

Observation 35b46391-96b0-40e9-8abf-6e57842705ba · outbound

This paper cites T., N UNEZ -YANEZ , J., P IECHOCKI , R., AND POPE , J.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search T., N UNEZ -YANEZ , J., P IECHOCKI , R., AND POPE , J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.208048Z

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.

source=pdf_text observed=2026-08-06T19:31:44.048195Z digest=sha256:c1abb3fe5c7deea4db44f2cc8f66823d1fb632452a2694ef0195288ca9fb1b3e

Observation 83f1eaeb-b1b9-4ffb-bb37-281690bdac73 · outbound

This paper cites Attacking graph neural networks with bit flips: Weisfeiler and leman go indifferent.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Attacking graph neural networks with bit flips: Weisfeiler and leman go indifferent

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.193307Z

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.

source=pdf_text observed=2026-08-06T19:31:44.136526Z digest=sha256:c598c48490631258035bb87795294f5c81e1d87029eabe1db350e7943192cc90

Observation 7e3fb783-7d34-4b08-9925-fb785dff2763 · outbound

This paper cites an unresolved cited work.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:31:46.177763Z

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.

source=pdf_text observed=2026-08-06T19:31:44.219652Z digest=sha256:91ea1e6fdeb9bc5ad4da6a519adb732485455dc071934b40615199113ab2cf2c

Observation 2e7c6a5d-414f-4bc1-b707-280f02d08d9d · outbound

This paper cites Towards deeper graph neural networks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Towards deeper graph neural networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.162035Z

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.

source=pdf_text observed=2026-08-06T19:31:44.306744Z digest=sha256:c1c02dc3ac6de9f3d806dae6d5f699c0c43eb5c041c3910f8bf4e28e82183c19

Observation df3cbde9-c5d6-48e1-9d95-3d02e6510fdd · outbound

This paper cites Fault injection attack on deep neural network.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Fault injection attack on deep neural network

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.140101Z

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.

source=pdf_text observed=2026-08-06T19:31:44.422802Z digest=sha256:efaaf502dcdc15f3f2c7b97b9b760bd0663bceffef3cc4de17348c8d4a622ef9

Observation fc9b9e6f-9726-4b40-95c3-daa8358968b0 · outbound

This paper cites The impact of faults on dnns: A case study.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search The impact of faults on dnns: A case study

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.122918Z

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.

source=pdf_text observed=2026-08-06T19:31:44.618131Z digest=sha256:5a6aa982999ed5c15ceeefa31f72c9fa3bf3968dffe42078002c144199c75b6d

Observation e56cbbd2-e956-4967-82c3-45140b7c0c64 · outbound

This paper cites A survey on modeling and improving reliability of dnn algorithms and accelerators.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search A survey on modeling and improving reliability of dnn algorithms and accelerators

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.107138Z

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.

source=pdf_text observed=2026-08-06T19:31:44.697132Z digest=sha256:29a0f48d91c6728dfede015422e0ae9f9c6e0f6e832cb05ab94e51756cef7385

Observation e81ef72f-5f25-4ab5-8329-acbd3c58d4c5 · outbound

This paper cites A survey on hardware security of dnn models and accelerators.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search A survey on hardware security of dnn models and accelerators

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.092588Z

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.

source=pdf_text observed=2026-08-06T19:31:44.738332Z digest=sha256:c68059e1e98dc0d9ad7d812addb89846087f9bde62f7704d3a6ddcb0a134a834

Observation f713272e-53f3-4202-9e33-38d394d510ab · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Pytorch: An imperative style, high-performance deep learning library

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.077669Z

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.

source=pdf_text observed=2026-08-06T19:31:44.838167Z digest=sha256:e0996248a83b518cb267f2114c3a39ef3627840c7eeff5d9946dbd47da81941d

Observation e96b72b2-2d2e-458c-8bea-35a77aec5c9c · outbound

This paper cites an unresolved cited work.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:31:46.061838Z

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.

source=pdf_text observed=2026-08-06T19:31:44.908729Z digest=sha256:187eda986cd891a506c894418896804ce302a610d854a27c0a5c144602265fbb

Observation 4169944f-0d91-461e-ac9a-7bc538785b9b · outbound

This paper cites S., H E, Z., AND FAN, D.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search S., H E, Z., AND FAN, D

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.043182Z

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.

source=pdf_text observed=2026-08-06T19:31:44.987821Z digest=sha256:b3125847e4c480b9fbc02fa747d457d6fd45cb20842540e05c36e6bfd67281f3

Observation 940e42ad-23df-4aad-9ec1-a04501828195 · outbound

This paper cites Accelerating Hardware Verification with Graph Models.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Accelerating Hardware Verification with Graph Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:45.087516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:45.087516Z digest=sha256:dd4017eead7e849be002ee49da28d45c84a7ff2300a1cea9e430c758c8a166d8

Observation 53179972-fea0-4e89-89e2-e84017f1d7ef · outbound

This paper cites an unresolved cited work.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:31:46.021097Z

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.

source=pdf_text observed=2026-08-06T19:31:45.154353Z digest=sha256:8cfe7091aaf7e2307123950097f50fc382c3026b0567ceb647665e585398d8c7

Observation ee38397e-3dcd-4a19-b5a9-84a036dbea52 · outbound

This paper cites Fp-gnn: Adaptive fpga accelerator for graph neural networks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Fp-gnn: Adaptive fpga accelerator for graph neural networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:46.002439Z

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.

source=pdf_text observed=2026-08-06T19:31:45.235047Z digest=sha256:63a2d042a4c8155a5a1c49425c96c98fd5913499bbc29e508525fd1407438afc

Observation c31034cd-d812-4017-8563-9a62fc762687 · outbound

This paper cites PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:31:45.830509Z

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.

source=pdf_text observed=2026-08-06T19:31:45.338741Z digest=sha256:bc7535195426e8dfb6ba12387a71c790d2efc7c9ff2c164695306f27fc9e46ea

Observation 8db7e02b-ffde-485a-ac02-783d84fbdcac · outbound

This paper cites Graph neural networks in recommender systems: a survey.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Graph neural networks in recommender systems: a survey

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:45.979862Z

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.

source=pdf_text observed=2026-08-06T19:31:45.447687Z digest=sha256:15dca0bf9975ffaea24952cdeb559eb3c2fcbfaec53af957bf0bd5752d2938ca

Observation 2823545f-fdf6-488b-aff6-dc21772fbae0 · outbound

This paper cites Accel-gcn: High- performance gpu accelerator design for graph convolution networks.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Accel-gcn: High- performance gpu accelerator design for graph convolution networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:45.964064Z

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.

source=pdf_text observed=2026-08-06T19:31:45.550074Z digest=sha256:c66aadb2ad5ef6b59667221fd222399749b3d7ef7a9aad1b94d3621a246014f6

Observation 5b205ba5-ccc4-498a-aef4-3971b9094cc5 · outbound

This paper cites Hygcn: A gcn accelerator with hybrid archi- tecture.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Hygcn: A gcn accelerator with hybrid archi- tecture

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:45.945633Z

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.

source=pdf_text observed=2026-08-06T19:31:45.680562Z digest=sha256:9fbb0bd9ac337acd73d998903aa11362eb80677487f8979c8478c597ea9ca2b6

Observation 3346cca3-0ab4-4898-a51e-41ca60957352 · outbound

This paper cites Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:31:45.925153Z

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.

source=pdf_text observed=2026-08-06T19:31:45.685642Z digest=sha256:63277f30d3bb830c0fe7e44dcdb8d7c3e3829211412eea1eea0b350033f63e88

Observation db247dd3-899f-471a-815c-e82a6f4f6fc5 · outbound

This paper cites A survey on graph neural network acceleration: Algorithms, systems, and customized hardware.

Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search A survey on graph neural network acceleration: Algorithms, systems, and customized hardware

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:45.691162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:45.691162Z digest=sha256:c059c44cae19ed811768614f3a3af2caa019fb3f84fb06c921e7f9bbac813b72

Pith citing papers

No inbound Pith citation observations are available.