Paper Citation Record · LEDGER

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.17894.

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

pith.paper-citation-record.v1
2506.17894 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:59.124757Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:22:43.039644Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy28
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b26fae2a-5a1f-4255-b73c-5c5af5e9aeb8 · outbound

This paper cites https://trust-hub.org/#/benchmarks/ chip-level-trojan.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs https://trust-hub.org/#/benchmarks/ chip-level-trojan

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:06.130174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1504bc57-2caf-48c5-8a2c-34139aecec6a · outbound

This paper cites Deep learning based graph neural network technique for hardware trojan detection at register transfer level.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Deep learning based graph neural network technique for hardware trojan detection at register transfer level

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:05.914762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f252d84d-8267-49ca-ac77-f49f259e6a71 · outbound

This paper cites Gnn4ht: A two-stage gnn based approach for hardware trojan multifunctional classification.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Gnn4ht: A two-stage gnn based approach for hardware trojan multifunctional classification.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:05.643292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe3875a1-ce96-4c04-97f3-bed6d93c3091 · outbound

This paper cites Security vulnerability analysis of design-for- test exploits for asset protection in socs.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Security vulnerability analysis of design-for- test exploits for asset protection in socs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:05.434762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbf89a3d-4032-40c4-bbbf-d71495fa2579 · outbound

This paper cites Darkriscv.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Darkriscv

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:05.179683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab3ce9fb-101f-4e15-a9cd-60eb9d5ce8e5 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs QLoRA: Efficient Finetuning of Quantized LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:56.704743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44826bbf-66e8-4734-8daa-9f17adbd79e1 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:56.792601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ae4fde-7845-4b7d-93bd-8a0482db1715 · outbound

This paper cites Llm4sechw: Leveraging domain-specific large language model for hardware debugging.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Llm4sechw: Leveraging domain-specific large language model for hardware debugging

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:04.818125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3bb5365-da0f-42d0-aa50-a43cd0ccdd18 · outbound

This paper cites Node-wise hardware trojan detection based on graph learning.IEEE Transactions on Computers, 2023.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Node-wise hardware trojan detection based on graph learning.IEEE Transactions on Computers, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:04.537464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 713f0adc-bfd0-428b-8337-66227062b53a · outbound

This paper cites Graph centrality algorithms for hardware trojan detection at gate-level netlists.International Journal of Engineering, 35(7):1375– 1387, 2022.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Graph centrality algorithms for hardware trojan detection at gate-level netlists.International Journal of Engineering, 35(7):1375– 1387, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:04.204826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa7edf2e-49b0-41d4-b30a-b5d695a2d6ed · outbound

This paper cites How secure is your cache against side-channel attacks? InProceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, pages 341–353, 2017.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs How secure is your cache against side-channel attacks? InProceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, pages 341–353, 2017

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.940867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83ed98bf-673e-40cc-8cf8-85cf1098fc15 · outbound

This paper cites Howard, Hartwig Adam, and Dmitry Kalenichenko.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Howard, Hartwig Adam, and Dmitry Kalenichenko

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.659509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0cb63fb-33d8-47ab-90df-b5b4c9384cf4 · outbound

This paper cites Kipf and Max Welling.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Kipf and Max Welling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:57.258564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b2b2afb-782f-44ee-bd22-0b3d3d354fa1 · outbound

This paper cites Gnn-based hierarchical annotation for analog circuits.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9):2801–2814, 2023.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Gnn-based hierarchical annotation for analog circuits.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9):2801–2814, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.404978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64259b09-6810-4051-918b-a3232b1059fe · outbound

This paper cites Evaluation on hardware-trojan detection at gate-level ip cores utilizing machine learning methods.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Evaluation on hardware-trojan detection at gate-level ip cores utilizing machine learning methods

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:03.179675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a285f953-2d96-417c-be34-7b6c1f269349 · outbound

This paper cites A reduction of a graph to a canonical form and an algebra arising during this reduction.Nauchno- Technicheskaya Informatsiya, 2(9):12–16, 1968.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs A reduction of a graph to a canonical form and an algebra arising during this reduction.Nauchno- Technicheskaya Informatsiya, 2(9):12–16, 1968

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.926681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9cc947f-c7c4-41b4-8ed2-81fe26acc558 · outbound

This paper cites Gnn-based hardware trojan detection at register transfer level leveraging multiple-category features.IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Gnn-based hardware trojan detection at register transfer level leveraging multiple-category features.IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.695318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4f14950-5969-4b02-a417-3db0600b0408 · outbound

This paper cites Online planner selection with graph neural networks and adaptive scheduling.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Online planner selection with graph neural networks and adaptive scheduling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.486265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c978395-2db7-45f9-882f-99fdff11c69c · outbound

This paper cites Security and trust vulnerabilities in third-party ips.Hardware IP Security and Trust, pages 3–14, 2017.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Security and trust vulnerabilities in third-party ips.Hardware IP Security and Trust, pages 3–14, 2017

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:02.230801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ead78610-2d34-4e89-8fc6-ec6ff4286f08 · outbound

This paper cites an unresolved cited work.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:28:01.836712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fa0b9fb-a198-4672-888b-5faf04b25a21 · outbound

This paper cites Avfsm: A framework for identifying and mitigating vulnerabilities in fsms.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Avfsm: A framework for identifying and mitigating vulnerabilities in fsms

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.667227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e03fb7c-36db-4279-8c37-fd5523254b8b · outbound

This paper cites an unresolved cited work.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:28:01.505292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 413088b5-0726-4c38-bded-c899fdae2e41 · outbound

This paper cites Power side-channel leakage assessment framework at register- transfer level.IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 30(9):1207–1218, 2022.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Power side-channel leakage assessment framework at register- transfer level.IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 30(9):1207–1218, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:01.249582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a138dc17-bf2d-4f94-9087-081495195d3b · outbound

This paper cites System-on-chip platform security assurance: Architecture and validation.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs System-on-chip platform security assurance: Architecture and validation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.958796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a0ae501-03f4-4217-9044-2696d7145f0d · outbound

This paper cites Llm for soc security: A paradigm shift.IEEE Access, 2024.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Llm for soc security: A paradigm shift.IEEE Access, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.827114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8cb6ae8-57e2-485e-b1b8-2af083bbc177 · outbound

This paper cites Graph of circuits with gnn for exploring the optimal design space.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Graph of circuits with gnn for exploring the optimal design space

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.660860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00d323d2-0d6e-487e-b26a-613dbff255cd · outbound

This paper cites No change, no gain: empow- ering graph neural networks with expected model change maximization for active learning.Advances in Neural Information Processing Systems, 36, 2024.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs No change, no gain: empow- ering graph neural networks with expected model change maximization for active learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.505076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1896717f-64d9-4504-8be4-a22c0d5c7f3e · outbound

This paper cites Pyverilog: A python-based hardware design processing toolkit for verilog hdl.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Pyverilog: A python-based hardware design processing toolkit for verilog hdl

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.265226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 52639bdb-2368-4ffe-9bf8-729498b189fd · outbound

This paper cites A survey of hardware trojan taxonomy and detection.IEEE design & test of computers, 27(1):10–25, 2010.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs A survey of hardware trojan taxonomy and detection.IEEE design & test of computers, 27(1):10–25, 2010

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:28:00.126514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e34af92f-f4ec-4359-a59f-4cb5b5343475 · outbound

This paper cites Choosing a Classical Planner with Graph Neural Networks.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Choosing a Classical Planner with Graph Neural Networks

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:27:59.312956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78bf5f56-3442-4be0-9ab2-dd78b1a814c1 · outbound

This paper cites Graph Attention Networks.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Graph Attention Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:58.793931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad3e9dd-8583-4283-8bcb-e8250a4fb4f6 · outbound

This paper cites How Powerful are Graph Neural Networks?.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs How Powerful are Graph Neural Networks?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:58.853189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8381ed76-dd89-437d-9cc2-87ec55306551 · outbound

This paper cites Hardware trojan detection using graph neural networks.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Hardware trojan detection using graph neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:27:59.974612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae54c907-9a2b-4fe5-afc3-46755425b2f8 · outbound

This paper cites Gnn4tj: Graph neural networks for hardware trojan detection at register transfer level.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Gnn4tj: Graph neural networks for hardware trojan detection at register transfer level

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:27:59.817237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbf447ba-f153-4522-b141-af4771379efd · outbound

This paper cites Hw2vec: A graph learning tool for automating hardware security, 2021.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Hw2vec: A graph learning tool for automating hardware security, 2021

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:27:59.648626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61a36d0d-b3b2-45d0-91fa-7f4926dc37f8 · outbound

This paper cites Hydrogen jet and dif- fusion modeling by physics-informed graph neural network.Renewable and Sustainable Energy Reviews, 207:114898, 2025.

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs Hydrogen jet and dif- fusion modeling by physics-informed graph neural network.Renewable and Sustainable Energy Reviews, 207:114898, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:27:59.523906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 80f236cc-74ca-4d1d-a8fe-d6c2e6ee67b7 · inbound

Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL cites this paper.

Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T01:22:43.039644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.