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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.061207Z digest=sha256:b2f16d8535e00c064c648bff0a30c212811f4190594f02fbfb0f6362ebe3c122

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.081173Z digest=sha256:a100131d3407cc21b65b8ad1b6d278ad9cb88ccf99cb73fd2eb90b171b025cce

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.115842Z digest=sha256:7112b2c46019f3101c7eef9daaf6cb40f99134574d8d7e2803fbe778cc3bb80f

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.192184Z digest=sha256:89652d76c234b54d3bb2a3cf59777e81fbeb301d7aa804ec25f46ed433e57c50

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=sha256:9beefd484461b920ecbc61d37085280269cd45c0427c51d9640349b02948a510

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.409855Z digest=sha256:e410ba9bf4c1f5ae689d0eaa68439f7e02c3f537ce4951a7ae1575476198c228

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.507022Z digest=sha256:a0b001c6eb71a0003d192704fada198156e02298019df5ec266d6546aadef40c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.587614Z digest=sha256:a3c577d89ac149f9dc7e4c6c6f4230873ef88838ad0b94a9bdaab87c88d5e029

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.664118Z digest=sha256:9265dd499471979729e8df9fd03bf36db50b276b7ddf8c1f5719bfc4881e6f95

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.732624Z digest=sha256:279e7f0bbd6a50d3d23646e8feeb3da9a7bb31e9eeb490a606a4631ff56fe21e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.805287Z digest=sha256:bbce5b8bc87812f585b753b6c1b6c63a820b4ff0679a6a8526e0595f95fc90b4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:43.856478Z digest=sha256:31f77259e60fdc18c85f866cf710a5f9404aff02ef15b0c05224b2105d8bb489

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.048195Z digest=sha256:3c2fa4e59f1a017586fd0810fc9f5cc6c6fcf35f04458a613fd62c4e1923b11a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.136526Z digest=sha256:817da93b6400376378e1fc3a9f07b2fd36552fc395774a0b56c40f12a3ccebdd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.219652Z digest=sha256:cc64b07b74b8f652a63ca34a14ecdf596ce1543224d03a87aace47b988a636d8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.306744Z digest=sha256:ba149a7de9b0bf2bccbc0fa0600b40cbaf16464423f37b950cd8d34d990eef6b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.422802Z digest=sha256:5ae23762cf0f1167b7166f20596781fb3076564cf51fbf18229023844b95606e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.618131Z digest=sha256:824cea2437188da17798ad9a5cc54d3685317c8462215eeebb437356d68f1999

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.697132Z digest=sha256:b5afc2c1c0e08ef1256559a5886532bff5094e26a6bc6372c28ec6268a81b264

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.738332Z digest=sha256:1843a97fdf344f27ef478e5d5a73e1c00cb10e4debd6db14527b68b055d2440e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.838167Z digest=sha256:690f997655880c84afc5d3ce8121943e807967d00c7a7543d29ebfc956bec183

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

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.908729Z digest=sha256:33ab9b5dec8f0ecfabb94b9e5d410605de9b618b50b74382ac3d6e79a5078f04

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:44.987821Z digest=sha256:dbf6e53c27378ddbbe1fbc8750e0b6a39bef4f43f8bbe267f317c161b70f7774

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.154353Z digest=sha256:1b059bed1fc64b91000205dfd725a5987a4a50e69694d2d137bae8d1572c1e9b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.235047Z digest=sha256:32a9278203b00526b75e6498d2e1cd224f19d2b4667590c54008c959878cef12

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.338741Z digest=sha256:65004608d30bd2818e36654f54e0194616f8e92234938d331094bf944acbe6dd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.447687Z digest=sha256:3d5eb1b7c1972c3b324a1c3f42e4cca4616836d6e1d23dba1781a166e4b80f90

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.550074Z digest=sha256:c00223cb91fb44693e9ecae12482397497a613d6a72a7672296b93e466fbabf1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.680562Z digest=sha256:027c945dee326f0dc36a17309d3839ec0e8bcaaa359d635b72d200985fc7bd61

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T19:31:45.685642Z digest=sha256:454560d9a9e04c161be237a9be51d286610b611e2e229160325bfa1562f25a85

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.