Paper Citation Record · LEDGER

EvA: Evolutionary Attacks on Graphs

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.08212.

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

pith.paper-citation-record.v1
2507.08212 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:30:54.782818Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

verified exact3
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd651b63-61b3-42d6-8a78-72525d93ce4a · outbound

This paper cites Are Defenses for Graph Neural Networks Robust?.

EvA: Evolutionary Attacks on Graphs Are Defenses for Graph Neural Networks Robust?

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:30:55.439796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 465bb812-4aee-437f-a1e9-7bf85e180d7f · outbound

This paper cites Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, and Bin Cui.

EvA: Evolutionary Attacks on Graphs Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, and Bin Cui

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:30:55.298941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f8a7061-e90f-42da-9a46-f9dc39ccde3a · outbound

This paper cites URLhttps://doi.org/10.1145/3589291.

EvA: Evolutionary Attacks on Graphs URLhttps://doi.org/10.1145/3589291

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T18:30:54.875565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1b0893f-3bae-494b-943a-d94e202ebf57 · outbound

This paper cites However, compared to PRBCD, EvA allocates more of the budget to higher-degree nodes.

EvA: Evolutionary Attacks on Graphs However, compared to PRBCD, EvA allocates more of the budget to higher-degree nodes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:56.316510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71d6c1b8-69be-4242-bce2-c37600c29233 · outbound

This paper cites doi: 10.1145/3611307.

EvA: Evolutionary Attacks on Graphs doi: 10.1145/3611307

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T18:30:54.842667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b869632-3113-4a27-9768-c52f4b9460ee · outbound

This paper cites E.4 Attack hyperparameters To assess the robustness of GNNs, we utilize the following attacks and hyperparameters.

EvA: Evolutionary Attacks on Graphs E.4 Attack hyperparameters To assess the robustness of GNNs, we utilize the following attacks and hyperparameters

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:56.098111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5024ca16-ad7d-4211-8174-96e373f1b3cb · outbound

This paper cites Simple and Efficient Partial Graph Adversarial Attack: A New Perspective.

EvA: Evolutionary Attacks on Graphs Simple and Efficient Partial Graph Adversarial Attack: A New Perspective

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:30:54.909582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba67d28d-2244-401c-86fd-db1ec07c889a · outbound

This paper cites Orthogonally, Dai et al.

EvA: Evolutionary Attacks on Graphs Orthogonally, Dai et al

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:57.168362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c1c9788-9aed-448d-b417-4bf1f941c3c4 · outbound

This paper cites [2019], propose heuristic attacks based on the graph’s topology, but their performance is significantly lower than that of white-box methods like PRBCD.

EvA: Evolutionary Attacks on Graphs [2019], propose heuristic attacks based on the graph’s topology, but their performance is significantly lower than that of white-box methods like PRBCD

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:56.995579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5fec6c5-4ee7-4626-992f-0983f21660f9 · outbound

This paper cites an unresolved cited work.

EvA: Evolutionary Attacks on Graphs Unresolved cited work

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:30:56.743452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8650e028-8c65-47c8-81b4-e32743ba5afb · outbound

This paper cites As stated in [Dai et al., 2018b], a genetic algorithm for global attacks requires PBA-C because it relies on logits, with the fitness function being the negative log-likelihood.

EvA: Evolutionary Attacks on Graphs As stated in [Dai et al., 2018b], a genetic algorithm for global attacks requires PBA-C because it relies on logits, with the fitness function being the negative log-likelihood

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:56.578320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0fc92ef5-7230-4ef9-87b7-81fc0490a8d6 · outbound

This paper cites an unresolved cited work.

EvA: Evolutionary Attacks on Graphs Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:30:55.843245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8d7f21e-6780-4ed1-9892-4472ee1ec2f5 · outbound

This paper cites A hard label black-box adversarial attack against graph neural networks.

EvA: Evolutionary Attacks on Graphs A hard label black-box adversarial attack against graph neural networks

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:57.568194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9fd906b-730d-43a9-b69b-36e478eb977e · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

EvA: Evolutionary Attacks on Graphs Pitfalls of Graph Neural Network Evaluation

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-06T18:30:54.672424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c95af20-b6b4-4b05-9ed6-f8ebdcc6f1f0 · outbound

This paper cites Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.

EvA: Evolutionary Attacks on Graphs Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T18:30:54.692882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992fe524-03ab-41c8-846d-1bc3af96c6c2 · outbound

This paper cites Conformal Inductive Graph Neural Networks.

EvA: Evolutionary Attacks on Graphs Conformal Inductive Graph Neural Networks

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:30:55.137912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5588edf8-0a86-4e2c-8184-31de04e5d24e · outbound

This paper cites Based on the domain, (evasion) attacks can be further be categorized to global (aiming to flip the prediction of a subset of nodes) and targeted attacks (aiming at a single node).

EvA: Evolutionary Attacks on Graphs Based on the domain, (evasion) attacks can be further be categorized to global (aiming to flip the prediction of a subset of nodes) and targeted attacks (aiming at a single node)

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:57.388490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55dd9879-361e-448e-bb3c-809ecdfb03a4 · outbound

This paper cites Furthermore, their approach does not scale well to graphs with even a few thousand nodes.

EvA: Evolutionary Attacks on Graphs Furthermore, their approach does not scale well to graphs with even a few thousand nodes

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:30:56.856946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2eab358c-0a6d-475c-9d44-b1de67aacc4b · outbound

This paper cites Robustness of Graph Neural Networks at Scale.

EvA: Evolutionary Attacks on Graphs Robustness of Graph Neural Networks at Scale

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:30:55.595922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7301299-e91b-4bae-9fe8-b9e5439f3b68 · outbound

This paper cites 2024.10448076.

EvA: Evolutionary Attacks on Graphs 2024.10448076

Reference 2024

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:30:55.083393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.