Paper Citation Record · LEDGER

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2506.07428.

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

pith.paper-citation-record.v1
2506.07428 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:23.534443Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:05:36.887419Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1677a403-88fc-40ae-8f02-c0488722a236 · outbound

This paper cites Towards evaluating the robustness of neural networks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Towards evaluating the robustness of neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.821007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8987e0d5-8170-4a4f-9ac7-e58a56b88530 · outbound

This paper cites an unresolved cited work.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Unresolved cited work

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:41:23.608184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72bbb462-0993-431f-9a28-1060e68eb9e2 · outbound

This paper cites This is likely related to the degree distribution [Zhanget al., 2024; Zouet al., 2021 ], as DBLP has a high proportion of nodes with low degrees.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model This is likely related to the degree distribution [Zhanget al., 2024; Zouet al., 2021 ], as DBLP has a high proportion of nodes with low degrees

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.658240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 813a0365-d3bc-4b12-af58-363a15517611 · outbound

This paper cites Let graph be the go board: gradient-free node injection attack for graph neural networks via reinforce- ment learning.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Let graph be the go board: gradient-free node injection attack for graph neural networks via reinforce- ment learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.791908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57ab42e3-5b50-4347-8468-84d56c2d70e3 · outbound

This paper cites Are we really mak- ing much progress? revisiting, benchmarking and refining heterogeneous graph neural networks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Are we really mak- ing much progress? revisiting, benchmarking and refining heterogeneous graph neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.776951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3072063-5b00-4926-ab4f-85d1bafd0c22 · outbound

This paper cites Is chatgpt a general-purpose natural language processing task solver?,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Is chatgpt a general-purpose natural language processing task solver?,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.761444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13e02293-b2ad-4194-ba54-3b7449c13d16 · outbound

This paper cites KG-RAG: Bridging the Gap Between Knowledge and Creativity.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model KG-RAG: Bridging the Gap Between Knowledge and Creativity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.485577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb37300d-1343-4777-ba3f-490f13bd922e · outbound

This paper cites Modeling relational data with graph con- volutional networks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Modeling relational data with graph con- volutional networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.753764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbc5abd7-f153-429c-9988-7e513aa63768 · outbound

This paper cites Transferable structure- based adversarial attack of heterogeneous graph neural network.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Transferable structure- based adversarial attack of heterogeneous graph neural network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.746048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e60844d2-c3b9-4a34-a702-299e1749ad17 · outbound

This paper cites Adversarial attack and defense on graph data: A survey.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Adversarial attack and defense on graph data: A survey

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.738630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3882de92-ba4e-43ee-a756-2bab348fd1c7 · outbound

This paper cites Hetero- geneous graph attention network.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Hetero- geneous graph attention network

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.499439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b3e446-c387-45bc-a31f-48af7031f4b5 · outbound

This paper cites Ensemble Multi-Relational Graph Neural Networks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Ensemble Multi-Relational Graph Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.504528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907fb5c4-c527-4fee-95ed-3ed4725bb0dc · outbound

This paper cites Unsupervised heterogeneous graph rewriting attack via node clustering.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Unsupervised heterogeneous graph rewriting attack via node clustering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.719573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f78f23b-fc28-4a11-b992-00cc9b3fff53 · outbound

This paper cites Anygraph: Graph foundation model in the wild,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Anygraph: Graph foundation model in the wild,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.712158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 758e30e4-4f9f-4b56-95e2-5278e685f69f · outbound

This paper cites Simple and efficient heterogeneous graph neural network.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Simple and efficient heterogeneous graph neural network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.704863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3acc12c1-04cb-4d3d-b53f-a13e6eca57bc · outbound

This paper cites Multi- plex heterogeneous graph convolutional network.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Multi- plex heterogeneous graph convolutional network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.697307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a52aaeb7-c3b8-42fe-97b3-ad32b17e1e0a · outbound

This paper cites Robust heterogeneous graph neural networks against adversarial attacks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Robust heterogeneous graph neural networks against adversarial attacks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.689324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f87a1465-73c8-4cc0-be52-60b05116d97c · outbound

This paper cites Maximizing malicious influence in node injection attack.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Maximizing malicious influence in node injection attack

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.681706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb6ef98f-5ba1-43e8-936e-c2e4d2fe4379 · outbound

This paper cites HGAttack: Transferable Heterogeneous Graph Adversarial Attack.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model HGAttack: Transferable Heterogeneous Graph Adversarial Attack

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:41:23.619932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 844f96aa-592d-4a9c-9af5-54a2eddb8b6e · outbound

This paper cites Tdgia: Effective injection attacks on graph neural networks.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Tdgia: Effective injection attacks on graph neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.673867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f8341e7-976e-481d-98ac-50ad872ad769 · outbound

This paper cites Input: Clean graphG, the attack unitsA={A r, r∈ R}and relation weightµ={µ 1, µ2...µ|R|}from surrogate model.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Input: Clean graphG, the attack unitsA={A r, r∈ R}and relation weightµ={µ 1, µ2...µ|R|}from surrogate model

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.666053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49da9d8b-15c7-482a-a2de-64f5f6886210 · outbound

This paper cites Heterogeneous graph transformer.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Heterogeneous graph transformer

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.806545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 383dfc09-b7f6-4d90-881c-9fd5af2833fd · outbound

This paper cites Fast Gradient Attack on Network Embedding.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Fast Gradient Attack on Network Embedding

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.454937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfdbb5b0-1c99-48fb-93bd-cfe874aa519e · outbound

This paper cites Mecch: metapath context convolution-based heterogeneous graph neural networks.Neural Networks, 170:266–275,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Mecch: metapath context convolution-based heterogeneous graph neural networks.Neural Networks, 170:266–275,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.813992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fef0dad4-71a8-4a54-b95a-57651661e650 · outbound

This paper cites Scalable attack on graph data by injecting vicious nodes.Data Min- ing and Knowledge Discovery, 34:1363–1389,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Scalable attack on graph data by injecting vicious nodes.Data Min- ing and Knowledge Discovery, 34:1363–1389,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.726826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e66f1e8-e154-4186-96b4-75a776c13c9b · outbound

This paper cites Kullback–leibler diver- gence metric learning.IEEE transactions on cybernetics, 52(4):2047–2058,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Kullback–leibler diver- gence metric learning.IEEE transactions on cybernetics, 52(4):2047–2058,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.799392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad27b089-130c-43f2-8811-ea93620128ce · outbound

This paper cites Single-cell biolog- ical network inference using a heterogeneous graph trans- former.Nature Communications, 14(1):964,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Single-cell biolog- ical network inference using a heterogeneous graph trans- former.Nature Communications, 14(1):964,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.769107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a11a8f3d-4591-46f7-8a01-f3f50718acd3 · outbound

This paper cites HiGPT: Heterogeneous Graph Language Model.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model HiGPT: Heterogeneous Graph Language Model

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.496636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e1c416-06e8-4a4c-9d92-4dd54a59e502 · outbound

This paper cites Sora: A review on background, technology, limita- tions, and opportunities of large vision models,.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Sora: A review on background, technology, limita- tions, and opportunities of large vision models,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:41:23.784562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9b585c7-caa4-49e1-8240-348453d2413f · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Explaining and Harnessing Adversarial Examples

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:23.461659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ef33e4dc-a817-4bf1-b5fe-40b71ed58fc2 · inbound

Attacking Graph Foundation Models Through Their Shared Representation cites this paper.

Attacking Graph Foundation Models Through Their Shared Representation HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:36.887419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.