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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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.061207Z digest=sha256:4354b0fc699ad1e506ccdc9e65eaa9baf30e2e017a767d856ea6f1689dfcf544

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.081173Z digest=sha256:8514c7c29fff90af79e22c828dc5b98bdf1d92659a74e65e180d2beae2c22daf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.115842Z digest=sha256:06645a799a2d0a4c6d36e4a5c8dcd5756958695bff9fc95076983fb8202f28ec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.192184Z digest=sha256:767429f4f509106bf85da0570b3dd1f9c5e649c4c97d054403938f6fd1f05b61

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.409855Z digest=sha256:38fdc864e67cdc51cb892a5f94e2d4f1c178756ca5c43b535eef1bf0f6a87af2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.507022Z digest=sha256:3255271ce5cd2936656d275443ea02f8a52b8daef5db25af722db1978cf63efe

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.587614Z digest=sha256:cfa55b0da9c8c5e2e44b43efc01287f003c4bb06540781ad16ac93cbf59778b9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.664118Z digest=sha256:0263a8855fabbd938518fc4a3573b05987531966f688b5c4d549703841f194ae

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.732624Z digest=sha256:76059f135b24f24dac27aadac26e54468c21b651b3deb0f956512b5f1259018a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.805287Z digest=sha256:10e164fa545b0d1c7d4cd47edee65c8e267fc0796d33f1272804a05cdf27e4cb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:43.856478Z digest=sha256:59b53c76ddb17645fb6d0742129918c555aea719e71fab95f9747eb545ad675b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.048195Z digest=sha256:db42eea6be51ed8a2e2366f37ac3e2073b2716f3ad83cd1b24cff14d7db4fd88

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.136526Z digest=sha256:a165b7901029c47f5dde8aadfe6d735cffb51b03d4cd164e4cf84cf23e1b4d45

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.219652Z digest=sha256:54bbb48c0d5e2ce58fca63861683b1bb250171987206e8b45f99d48cfa9c4f85

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.306744Z digest=sha256:d0da8317c22d9360a45c7bd07af40283682bc7ba57fb86303e7e103125eab2db

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.422802Z digest=sha256:c7a00598bc3b4e9dd59e3d6fd1cde64dccd064abbcf54bcbf1f9a462ca910aef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.618131Z digest=sha256:4db6d533760f9af691a4460bfdd90813fbb91246ad67379dfeb474b12b253c20

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.697132Z digest=sha256:edd92dd58c54d19b9c9502bdb3de1d5f574bfcf79013b0c9a1d3137bd6515b45

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.738332Z digest=sha256:513838838c865db0b5899808fdca8c5d700b60c38c90145700357e94e5c8d788

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.838167Z digest=sha256:c83fa849e51e7eb74495b653d75c82dbc66503c256811c43d9e13631e40dc509

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.908729Z digest=sha256:98c13245347fb7071374e4abc05568db3ec73bcd9406fb6a25a1848c3ba97b1b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:44.987821Z digest=sha256:2be83fc8532aa5f002f396b8aade0a131325475ceb199a85d20d33cca093bec0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.154353Z digest=sha256:f0732011da186d429a110ee4e1b2410bdda397f27ea33e29051d28278b21a877

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.235047Z digest=sha256:bf8b48926d72b45d4f65165b5b1942533dbdb8a1d376d0620242d1244c374f63

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.338741Z digest=sha256:16a79c1dd6eb4bad36f425450b36c5392bab0a32b1f78a12323c3eeb5f385068

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.447687Z digest=sha256:6f44d6d2151704daf2608feee4c1f00f058fd6c9ff0b81176beee4002df4c5a8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.550074Z digest=sha256:296f1d3eae66dc9548ad3da371f6cf65b8352d3cf1eee196d59ce3d32bf792d0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.680562Z digest=sha256:f6cb82287a5b207bc37797a93acd32a7ac373f16aff1c1075fba71d8f36ecd7b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:31:45.685642Z digest=sha256:7f2aa3119f09c8b87155657c1792ec56cb691a219231df78b93adc5d9230bda1

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.