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Paper Citation Record · LEDGER

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2603.26136.

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

pith.paper-citation-record.v1
2603.26136 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:24:45.132538Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 5278e7d1-837f-44be-ac6a-1a36dc12e40e · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 1

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Observation 0b344108-1492-495b-b39b-2d5d73ecd3e6 · outbound

This paper cites Fast Gradient Attack on Network Embedding.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Fast Gradient Attack on Network Embedding

Reference 2

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source=pdf_text observed=2026-08-02T17:24:44.968546Z digest=sha256:37131f1199714c7a6b15aa92cf8dbd849ee187b5a65cfb9c148e1308c1ed09d4

Observation f8c91c78-6946-4cad-928d-0ddf9a28dea9 · outbound

This paper cites A Survey of Adversarial Learning on Graphs.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing A Survey of Adversarial Learning on Graphs

Reference 3

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Observation 8a15cf60-4876-48d8-acfe-d56b0fbfc58c · outbound

This paper cites Understanding and Improving Graph Injection Attack by Promoting Unnoticeability.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

Reference 4

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source=pdf_text observed=2026-08-02T17:24:44.978166Z digest=sha256:d5988dd1eb8fe8a68c284d6b1458f9b6b2d1dca7e0114f45eb34d8c5fc7c33a1

Observation b0e3ac0d-aa68-4f4a-a191-8c36b3298de0 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T17:24:44.982973Z digest=sha256:43fa14b86c662a1b78965b26b5cc322a6f2e75ce3c7cc49837897bfe8b1d29f8

Observation 6f3682a0-b8fa-47b0-9630-4d184a4a45be · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 6

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Observation 65ce7699-1d31-4646-8c43-7b814e31ba00 · outbound

This paper cites 2022.𝑝-Laplacian Based Graph Neural Networks.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing 2022.𝑝-Laplacian Based Graph Neural Networks

Reference 7

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Observation b65544f8-2fda-458a-a9bb-542b88edb1c5 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T17:24:45.000611Z digest=sha256:85f6105f8efebe8e8ff6149060feef5b0c1a02f990dc0aa388139574a78cf186

Observation f267200d-6b38-4bd7-a5e2-a2156461b0af · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-02T17:24:45.004638Z digest=sha256:5094d51f1cb8fc64f45ed50b278a60c1a8e22ec6202d9c1496085c0ed8207cf2

Observation a6b42539-4636-4802-91e2-36754fe3a29e · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-02T17:24:45.013057Z digest=sha256:281d926b50045cf5fe116d7af77e2652ae635f9fb217cc3771ce20a8d0fba267

Observation 3ed747cd-efb2-469a-97e9-32768fcfd6d5 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 11

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Observation 285381e3-0645-4baf-9a36-26ff9480566a · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 12

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Observation df8e64aa-6837-4f10-be3f-746465d23395 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 13

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Observation bb39a500-8bdb-45e1-bec0-ff72c0f6ad4d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Adam: A Method for Stochastic Optimization

Reference 14

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Observation 7bd61df3-4313-4375-8920-535b80d7d902 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 15

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Observation a53e8cad-ea81-4816-9651-2cdf7fadb82f · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 16

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Observation c65a2c1f-0942-4d82-805e-42cdbd5ca2ce · outbound

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

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

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Observation 5d4b817e-c093-4b06-b619-df897bf6be7b · outbound

This paper cites TUDataset: A collection of benchmark datasets for learning with graphs.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing TUDataset: A collection of benchmark datasets for learning with graphs

Reference 18

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Observation f9e9935d-502b-4109-aed6-134502fbcf2d · outbound

This paper cites Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective

Reference 19

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Observation 205eb28d-05c1-4152-8769-9cf13056eca7 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 20

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Observation fe61a238-8c3f-4969-84d0-b942d09003a7 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 21

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Observation 5f8089ff-65ad-4b39-bf81-fb71f4b438da · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 22

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Observation 078fdc1e-470e-49e8-930a-bd6b719c7e4b · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

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Observation 68efada8-d954-467d-b41f-fe7e73e8e6d9 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 24

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Observation a678b776-4d8a-44eb-9714-306498cc63a0 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 25

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Observation 81015717-e627-47a0-b427-bde067979e95 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

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Observation 715e8580-6f85-4aae-ac9e-9e4745ecb597 · outbound

This paper cites Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Reference 27

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Observation 51e11eaf-87d9-4a96-aa1f-fef1830f524c · outbound

This paper cites How Powerful are Graph Neural Networks?.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing How Powerful are Graph Neural Networks?

Reference 28

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Observation 0dc6b8f1-0ffb-47f7-8556-7452c5d9fb0f · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 29

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Observation 1491e407-c169-43c7-9ec5-eed4fdc05cae · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 30

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Observation 3c2c3ae7-1d26-4199-98c8-c60d19f12ee6 · outbound

This paper cites Hard Label Black Box Node Injection Attack on Graph Neural Networks.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Hard Label Black Box Node Injection Attack on Graph Neural Networks

Reference 31

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Observation 8472f0b1-d0cc-40b1-986d-a2cf52c930f8 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 32

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Observation d7c0c4e9-47d3-4fb6-831e-92c1ac296e93 · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 33

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Observation 8ca5694d-fe05-4ec2-a894-3d75978bd59b · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 34

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Observation 27ece0a5-4634-4105-ac9a-e24f641ed35b · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-02T17:24:45.112028Z digest=sha256:fc83f76e24f68b26d03fda12b01fc0dd6f09df94a5717c9071e0b790ec321430

Observation be8cacb2-b388-4e06-917d-cc3e3cd7dbdc · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 38

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Observation 0f3b6017-c1fc-45b9-919d-6b1527d0ea8d · outbound

This paper cites an unresolved cited work.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-02T17:24:45.128237Z digest=sha256:52a0d544cc06f1a1365d04c86d74af9e38a4dffdcca16ffca0b6f78eff4c4882

Observation 046e50b5-c43c-450e-bc88-e95a299008b2 · outbound

This paper cites We also use early stopping here with the same patience of100epochs.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing We also use early stopping here with the same patience of100epochs

Reference 40

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malformed identifier
no resolver link, observed 2026-08-02T17:24:45.132538Z

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source=pdf_text observed=2026-08-02T17:24:45.132538Z digest=sha256:17c74d8e1a6b0288dfa02eebc3c1556300dbefc3eed2970d03893fb2797715a5

Observation 8246d5b2-1913-44ec-926e-c194bf75f7b5 · outbound

This paper cites InInternational conference on machine learning.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing InInternational conference on machine learning

Reference 2018

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unresolved
no resolver link, observed 2026-08-02T17:24:44.987182Z

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source=pdf_text observed=2026-08-02T17:24:44.987182Z digest=sha256:603c21fda61e21cc49981a5e722c603d8f4961f9af8faae2a8c40c99bf1de0aa

Observation a77e78be-ff43-4835-aeb9-ee6b5cdb9f31 · outbound

This paper cites InProceedings of the Web Conference.

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing InProceedings of the Web Conference

Reference 2020

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unresolved
no resolver link, observed 2026-08-02T17:24:45.069227Z

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source=pdf_text observed=2026-08-02T17:24:45.069227Z digest=sha256:c69cf5af8ea1801c3b8a097189d2e62cfb20a57e3935448a002e364b42e46de3

Pith citing papers

No inbound Pith citation observations are available.