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Paper Citation Record · LEDGER

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

As of 8 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 4 inbound Pith citation observations for arXiv:2506.20415.

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

pith.paper-citation-record.v1
2506.20415 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:09.392728Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T11:42:34.927821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:48:04.404752Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact4
  • verified fuzzy55
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7804bf0c-19ee-43e3-8fda-a48cf3da6981 · outbound

This paper cites an unresolved cited work.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.020880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.020880Z digest=sha256:e85807e2a5328b01411e0c219c03bf87a161d4c12d64990ca7887116d8e81626

Observation ea290164-ef08-4610-998f-2da13607355e · outbound

This paper cites Pacman: attacking arm pointer authentication with speculative execution,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Pacman: attacking arm pointer authentication with speculative execution,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.626734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.026638Z digest=sha256:b8993932e32cad828b5fb22b5ef9d6d01cfbd774ed86c5677b26ac4dc554f25d

Observation 06fea500-7248-4f45-8672-48f7e07a75ce · outbound

This paper cites Augury: Using data memory- dependent prefetchers to leak data at rest,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Augury: Using data memory- dependent prefetchers to leak data at rest,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.597733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.031722Z digest=sha256:efcae6b5e324ca1502d359027bf71d2597d824ed698648b38561d400ce10157e

Observation 2eb4ef0f-76fd-4bff-ac22-b96128ca58ba · outbound

This paper cites Riscvuzz: Discovering architectural cpu vulnerabilities via differential hardware fuzzing,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Riscvuzz: Discovering architectural cpu vulnerabilities via differential hardware fuzzing,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.576791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.037056Z digest=sha256:7534f1fbc4b6894879732b58431d68d585687e75cfa6af6b9b797b427ce38fb1

Observation 436ce208-5cac-4ced-80ff-9bc7117f6e5a · outbound

This paper cites Formal security verification of third party intellectual property cores for infor- mation leakage,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Formal security verification of third party intellectual property cores for infor- mation leakage,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.041967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.041967Z digest=sha256:dfbbda2dfe75b888f405fd9cfe11ee55c277c82216e75113ebf2d0a9289aa7da

Observation f4facf83-9be5-4fc0-8bd7-0fba1c9fb27e · outbound

This paper cites Formal verification of taint-propagation security properties in a commercial soc design,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Formal verification of taint-propagation security properties in a commercial soc design,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.541787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.046841Z digest=sha256:5f1ecc49950071bbadb824df866bab4bad331058574fb0f98ce083c040aa532e

Observation 6021b59e-055c-4b11-bdc1-7648ea9b2e4a · outbound

This paper cites Hardware trojan detection through information flow security verification,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Hardware trojan detection through information flow security verification,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.517783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.052022Z digest=sha256:eb8871cb2ecf4ab6e315e1c2b615e7c30e59d31944eaee481868f8229631c5c1

Observation ed942413-780c-47cd-a763-12dd90005729 · outbound

This paper cites Scalable concolic testing of rtl models,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Scalable concolic testing of rtl models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.503663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.056495Z digest=sha256:1c71a74b390d0b1b374a12dedd3ba091f8827f0982c8978bf329b4c96733c7e5

Observation 62a7df3b-8d2d-41ab-9d8e-4fee416acf92 · outbound

This paper cites Automated activation of multiple targets in rtl models using concolic testing,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automated activation of multiple targets in rtl models using concolic testing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.489485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.060951Z digest=sha256:d3cc4d70911c3ca81cdb7fa097bcc2cec3ef3348ce5e7cf9ad1e08730dff03bd

Observation 31261d1d-2d16-440e-aa5f-93f5a1ccd8ca · outbound

This paper cites Rtl- fsmx: Fast and accurate finite state machine extraction at the rtl for security applications,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Rtl- fsmx: Fast and accurate finite state machine extraction at the rtl for security applications,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.475421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.065208Z digest=sha256:37bc2d0e9e0d9937f47ac030cfe73f9d56b90dcc079df17f5e90fad00c16d024

Observation 15e794e8-2c9a-493a-87c0-30b10cf6f147 · outbound

This paper cites Quardtropy: Detecting and quantifying unauthorized information leakage in hardware designs using g-entropy,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Quardtropy: Detecting and quantifying unauthorized information leakage in hardware designs using g-entropy,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.461314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.069903Z digest=sha256:5dbb33eb5e7fcb3615d12d0bc75746ac4a5c19b0201448fc4869ea23002fd14d

Observation abb13d0f-0f2d-4c6a-8c75-120b513d17d2 · outbound

This paper cites Mab- fuzz: Multi-armed bandit algorithms for fuzzing processors,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Mab- fuzz: Multi-armed bandit algorithms for fuzzing processors,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.446144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.074367Z digest=sha256:fd69936182595a52af71755029f232e892f09c93e3c1ba1d528dca8f9248f44f

Observation 02250d5a-ad47-4ecd-aae6-a690e9c0ef2b · outbound

This paper cites Socfuzzer: Soc vulnerability detection using cost function enabled fuzz testing,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Socfuzzer: Soc vulnerability detection using cost function enabled fuzz testing,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.431020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.078686Z digest=sha256:d93e7ff6cfce506cb9062b1b1b1bf63f6ff8ea81aecc578e9de226dc1458e2c9

Observation 7dd73854-4806-4f1d-bbac-ab3e54a80563 · outbound

This paper cites Fuzz, penetration, and ai testing for soc security verification: Challenges and solutions,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Fuzz, penetration, and ai testing for soc security verification: Challenges and solutions,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.414196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.083037Z digest=sha256:d55933cd53b6d670093d55b6c2626754d7b3cadbf811ebf79ae79cac0c229443

Observation 416bcde8-2d79-42ef-80ed-514dbc5f85f3 · outbound

This paper cites Fuzzing Hardware Like Software.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Fuzzing Hardware Like Software

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:55:09.696669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.087430Z digest=sha256:e5842a1022723fb126940045fda2f460a6ee03d3795088ef1ed9dde9f9ff7be7

Observation f006144a-71b3-420c-8d4f-b6750906c971 · outbound

This paper cites Sharpen: Soc security verification by hardware penetration test,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Sharpen: Soc security verification by hardware penetration test,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.399247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.092258Z digest=sha256:26aa46d4e612db701b0947186f64f6d6a893638c1223a66b46816b96da880efc

Observation 3635374c-8536-4f7e-9f1a-3f4d21b2e43b · outbound

This paper cites Re-pen: Reinforcement learning-enforced penetration testing for soc security verification,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Re-pen: Reinforcement learning-enforced penetration testing for soc security verification,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.384275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.096790Z digest=sha256:dfc4afcd9fe1d16a5dc7bf71913fbe099a5bc4971c233b87540808ec850aa202

Observation 54da83d3-6467-4f62-95c0-704e68f44cbd · outbound

This paper cites Bench- marking of soc-level hardware vulnerabilities: A complete walkthrough,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Bench- marking of soc-level hardware vulnerabilities: A complete walkthrough,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.369384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.101395Z digest=sha256:8ffca84d5fd701e2b640555200f6ea8b6180bec49a944da6a86007f98d60c7f8

Observation 22a6d0b5-2d6b-49d1-bcbf-50d017fc9919 · outbound

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

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Llm for soc security: A paradigm shift,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.354070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.106386Z digest=sha256:419f70e867a5f9176bd0c6fa2a8256ad19395c262220f4b4f8c888ff2bf50812

Observation 0374694d-1051-4b1d-8a9b-e34ea1a70482 · outbound

This paper cites (security) assertions by large language models,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models (security) assertions by large language models,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.111189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.111189Z digest=sha256:1e98e6c0bcd53e3e15d63f47914b1325880c381068af3193b869b981e877683e

Observation 01f1218e-c097-4acd-9749-86039203e22f · outbound

This paper cites On hardware security bug code fixes by prompting large language models,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models On hardware security bug code fixes by prompting large language models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.330730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.115606Z digest=sha256:20ff36138f8922422ff15c064ecfaee882cdd6952ba014b017bf8813a9800898

Observation bc93fe8f-353e-4836-8d5d-9222240c48b4 · outbound

This paper cites Nspg: Natural language processing-based secu- rity property generator for hardware security assurance,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Nspg: Natural language processing-based secu- rity property generator for hardware security assurance,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.316442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.120200Z digest=sha256:a95c3cd7bc01673e0b96cb2329c53c6a6992f9cef36b994d72ba01f86ef373a4

Observation 7d0e76de-1c51-4971-9dcf-9cca66553951 · outbound

This paper cites Empowering hardware security with llm: The development of a vul- nerable hardware database,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Empowering hardware security with llm: The development of a vul- nerable hardware database,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.125352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.125352Z digest=sha256:e0dcd62799961ae20a8a816d0d023c12293e7aab67976ca1f5342d69a8713bb3

Observation 6f06e92f-deda-4de9-b14b-496328c2580c · outbound

This paper cites Socurellm: An llm-driven approach for large-scale system-on-chip security verification and policy generation,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Socurellm: An llm-driven approach for large-scale system-on-chip security verification and policy generation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.291865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.129596Z digest=sha256:b33e0247c0b6dda2060ae40e2c71275106fdb8acfb835f085e89960688961bf5

Observation 55d4f6bb-97ab-4090-9a0f-c40e58299837 · outbound

This paper cites Special session: Threatlens: Llm-guided threat modeling and test plan generation for hardware security verification,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Special session: Threatlens: Llm-guided threat modeling and test plan generation for hardware security verification,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.134080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.134080Z digest=sha256:eb2afdf4ade05815180528a4325ad42190401782e343fe09959da5c6d4b17f8e

Observation 3b550043-539a-499e-b331-12f6fe9fcb07 · outbound

This paper cites Bugwhisperer: Fine- tuning llms for soc hardware vulnerability detection,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Bugwhisperer: Fine- tuning llms for soc hardware vulnerability detection,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.266650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.138859Z digest=sha256:16911c644531b9182a30e7cff240a7009a4e91a97a7425aaa2888410aec9798a

Observation e114dc03-5d58-45d0-98ab-a618077d57fb · outbound

This paper cites Navigating soc security landscape on llm-guided paths,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Navigating soc security landscape on llm-guided paths,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.251889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.143629Z digest=sha256:17b7d0c50671f6bc7afe031614c55d042656ce68af43530bd10d0e10e5f13964

Observation ee43b9e2-3cd7-4970-b531-8bd35a62e53e · outbound

This paper cites Self-hwdebug: Automation of llm self- instructing for hardware security verification,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Self-hwdebug: Automation of llm self- instructing for hardware security verification,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.236220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.148062Z digest=sha256:4b61db1e55b412554565e61793960a1e18991fc18b6be19cf49ff3ccda34d90b

Observation 7d3fd88f-02d6-458e-ae9b-35460848fb2e · outbound

This paper cites Toward hardware security benchmarking of llms,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Toward hardware security benchmarking of llms,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.218806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.152595Z digest=sha256:e77ef1157d49b85b2e06fc49ad164ade763a52824f5eb567dfc6f08385793949

Observation a5085e45-3a1b-4d56-8e9c-4f1b39a435ef · outbound

This paper cites TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:55:09.676844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.157056Z digest=sha256:c5bae98f20a8ac731a3ce9d59c58e13690d3dd7ff3236d03f02578479127e8a5

Observation aa9c7478-4baa-4a0f-9dc1-42d453790a1d · outbound

This paper cites Automated hardware logic obfuscation framework using gpt,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automated hardware logic obfuscation framework using gpt,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.203658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.162037Z digest=sha256:3c0642d7a2cc7ae159ab759921b51792f8eb04e7a0aed64e000c270bd79c0197

Observation 3304d0c2-589f-44f4-a2dc-f3ed753ee13b · outbound

This paper cites Hardware trojan detection in open-source hardware designs using machine learning,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Hardware trojan detection in open-source hardware designs using machine learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.188722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.166563Z digest=sha256:82c6a911e8567e8611af095955d309e804a7532c9d83528d74385f7fbb16c998

Observation 087e9ed9-ef2b-416c-aa37-0fa062ec2f89 · outbound

This paper cites Openassert: Towards secure assertion generation using large language models,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Openassert: Towards secure assertion generation using large language models,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.173960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.171052Z digest=sha256:6caab0852cc2b6ea82442277ad278a87cff9c60dfb15d97a344cb04b67c905f7

Observation 40c72401-b613-42a7-b7f2-d8a16122e626 · outbound

This paper cites Llm-based agentic systems in medicine and healthcare,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Llm-based agentic systems in medicine and healthcare,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.159508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.175385Z digest=sha256:31c16db0be0b4f05991d8dfc7ab485813b3a26ab1aabdb90b92ef8f89aeb16e5

Observation 2d2c4877-c8ff-4a11-b976-1ae9ddda8ec3 · outbound

This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.179964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.179964Z digest=sha256:a07f1cbc16a126f1ba17a544158f231f5a4a5d4df412d1d1cd35669a9deb1cf7

Observation 900a5ddc-6eee-4d37-8b18-4403bea9fd42 · outbound

This paper cites MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.184458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.184458Z digest=sha256:ec064f9ce1db4d5b2876616f65444f48e2ddfc0290cf8043dc3bab183012f1f6

Observation e17440da-2c71-4720-b4c8-554849d03e38 · outbound

This paper cites AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.189483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.189483Z digest=sha256:4396ba26a7866d547a251c00b1d7a454909988513294ca266e4523e1dbe81ef8

Observation d893ec44-90dd-47c4-810a-91be0ea107af · outbound

This paper cites Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.194395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.194395Z digest=sha256:21d9c81249d5c445e95ccf89e442c7e2e8a9a0ed003d8a59bcdd060cd00e7484

Observation cf6b428e-01a7-4a15-a51a-c31adb4f4541 · outbound

This paper cites An autonomous multi-agent llm framework for agile soft- ware development,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models An autonomous multi-agent llm framework for agile soft- ware development,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.124489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.199793Z digest=sha256:b30424596935cebaa00f8c3b5edf2cb6c3cfe02d4d3b17ec8ecacbaac2c645dd

Observation 9a8d254e-e49e-4612-abf3-cb519e87fe46 · outbound

This paper cites A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.204377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.204377Z digest=sha256:b06f398065e6d6c06f179fde1e25b62e6b4d03bf3ec9756600529b186569b082

Observation 20e69fc4-a98a-46e7-8cc4-c3ea78830129 · outbound

This paper cites [Online].

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models [Online]

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.110710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.209132Z digest=sha256:2caba8b20b59cc699c9dd33a70cdcd3ef0fa294a0e8b97c9e99166b89a439b9f

Observation 4c01af33-02d7-4e79-a026-143ad6a0d60d · outbound

This paper cites Asset identification for electronic design ip,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Asset identification for electronic design ip,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.096797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.213817Z digest=sha256:55aa218a0e00b6459c080bf8ebe02e60342321ee3e1969b40fd39d7155d6019e

Observation 122dfc22-8d3e-4e4d-9f4d-adcd816770db · outbound

This paper cites Toward Automated Potential Primary Asset Identification in Verilog Designs.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Toward Automated Potential Primary Asset Identification in Verilog Designs

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:55:09.611190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.218698Z digest=sha256:8caa84f76ca7cbe64e4e1217b5e56f2e4d61ee3a30067eb786bb3432b6e3dc4b

Observation 37c31a37-8825-442d-9559-9727bb2182e7 · outbound

This paper cites Automatic asset identification for assertion-based soc security verifi- cation,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automatic asset identification for assertion-based soc security verifi- cation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.082927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.223694Z digest=sha256:d83981b3d39e0c15caa4557942608adcc7444fa781b61cbcc56b46eb3e243452

Observation e6f11560-d118-4652-b4ce-543e1bf3736e · outbound

This paper cites Lasp: Llm assisted security property generation for soc verification,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Lasp: Llm assisted security property generation for soc verification,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.068986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.228350Z digest=sha256:0c78e3f8ecd1c8f03f31b3bf9ff8af03faccc0e33fcb21c66e245499785a3908

Observation eaf2ef24-5b7c-4fbb-96e8-11f510941878 · outbound

This paper cites Rfuzz: Coverage-directed fuzz testing of rtl on fpgas,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Rfuzz: Coverage-directed fuzz testing of rtl on fpgas,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.055020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.232670Z digest=sha256:941f65e298e9b16337b1187f7546fb1fac7ede1f76bb180895ff86c14e198406

Observation 93b91d9b-4877-47b9-852c-a7c4dba959af · outbound

This paper cites TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:55:09.588902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.236977Z digest=sha256:adcf54c7b1c30302400a614afc0555ccd2e8e5f0e00ffeb6bdd920a8362086ef

Observation 0a8b6186-3eb2-4280-98e8-e6e97aa8bf80 · outbound

This paper cites Formalfuzzer: Formal verification assisted fuzz testing for soc vulnerability detection,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Formalfuzzer: Formal verification assisted fuzz testing for soc vulnerability detection,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.040592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.241432Z digest=sha256:6cc9d374964c26980c36e3a61aaec1611ed76a752268bce24406b91c9cbae2c6

Observation f6e4d5ac-52d6-4710-8116-febc4c5f19ed · outbound

This paper cites Cist: A threat modelling approach for hardware supply chain security,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Cist: A threat modelling approach for hardware supply chain security,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.026781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.246046Z digest=sha256:a1a0f0918042f0a18f08f8ab8914c89981131bf938c61c1789ebeb06d6fd8711

Observation 1aa35b2c-379c-4f45-8029-86bf5bada897 · outbound

This paper cites Hardware security: Threat models and metrics,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Hardware security: Threat models and metrics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:10.012622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.251177Z digest=sha256:fd229d6d644f9c90e0fe7e50290ede3eae6e7b7b220f743301ad27b5ea351a68

Observation 438a4fa9-493b-4a16-a328-2a742971af10 · outbound

This paper cites A hardware threat modeling concept for trustable integrated circuits,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models A hardware threat modeling concept for trustable integrated circuits,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.996608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.256532Z digest=sha256:aee39d866cf9864741786067cc4b55ef7cafbbd0615e77d41d39706826b87ff5

Observation 47b14d1f-5a50-475a-8ad2-cce8d92cced8 · outbound

This paper cites Security policy enforcement in modern soc designs,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Security policy enforcement in modern soc designs,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.982124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.260859Z digest=sha256:fa891e0e5d96eb3862d876eb1ed8de9cf887416ab5dd6773b64c921bf0aac0f6

Observation 6ce3d0ee-b5cf-4b2a-ac4c-91cc650717dd · outbound

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

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models System-on-chip platform security assurance: Architecture and validation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.967715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.265154Z digest=sha256:be960e516fa4686eeae0025ef26ee959c9a7649859d357c0723f0fb30a688208

Observation 05126c60-0fa2-4848-b641-7730dbe1c915 · outbound

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

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Security vulnerability analysis of design-for-test exploits for asset protection in socs,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.953018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.269580Z digest=sha256:0bfcd8071ffb1a4bb839f06f88a64adda60b4325dd65b2b271c23c6942ced8d0

Observation 340c79fb-8043-4138-8d7a-7c4be5c352e9 · outbound

This paper cites Script: A cad framework for power side-channel vulnerability assessment using information flow tracking and pattern generation,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Script: A cad framework for power side-channel vulnerability assessment using information flow tracking and pattern generation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.937006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.273992Z digest=sha256:8a0802d22c99f0b3b60d7967d5edfd55f652798e4b5ff5ba8f29ddcd49fa66a6

Observation 18812de7-2ad7-4fb4-9228-ef8591bf5949 · outbound

This paper cites A flexible architecture for systematic implementation of soc security policies,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models A flexible architecture for systematic implementation of soc security policies,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.922062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.279048Z digest=sha256:032b3d4dc5945dccc143dbd0da6415160111410f5bc88d9500a86d845a3c5dbb

Observation 71cbf566-b6b7-49a7-ac11-f2b4a62baaad · outbound

This paper cites Security verification of the opentitan hardware root of trust,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Security verification of the opentitan hardware root of trust,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.907117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.283612Z digest=sha256:921197cfbf7a7199139821f65d722d2f500973a6a650c55d6bc3b6ae9e6dff10

Observation 7b1bd0d6-7ea0-4781-9bbd-91b07c997c61 · outbound

This paper cites Soc secu- rity verification using property checking,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Soc secu- rity verification using property checking,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.892920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.287826Z digest=sha256:c716d6a4c84a8c99ed3e1fc693697e64e410c612fbd4b51353782a32ef88cee9

Observation 8f535be6-1845-42d1-b5bc-a629a725cbc8 · outbound

This paper cites Towards property driven hardware security,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Towards property driven hardware security,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.878425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.292315Z digest=sha256:36d93e6fa8e30ac8d3652a1efd23e854241e15d75018e73e69cc595285208ad3

Observation 5d8fd87a-34d8-49be-8c1e-784795e2caea · outbound

This paper cites Automated generation of security assertions for rtl models,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automated generation of security assertions for rtl models,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.863725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.296972Z digest=sha256:7c64711222f7d0e3f825a48634d54cbb027165c93e0d458c76d0b399aa362824

Observation 6394e1ad-9409-4e57-84fd-9354fc398ea4 · outbound

This paper cites Harnessing machine learning to improve the success rate of stimuli generation,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Harnessing machine learning to improve the success rate of stimuli generation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.849368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.301313Z digest=sha256:4e4e83150eeae0b000fa005ac5ec11022776222ac31d8fbb2ea6738e7ff516c7

Observation 8729896e-dd05-40f7-92da-b734a6d1acd0 · outbound

This paper cites Automated coverage directed test generation using a cell-based genetic algorithm,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automated coverage directed test generation using a cell-based genetic algorithm,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.835692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.305975Z digest=sha256:6a400629b39033b3280ee432608a72b2ab1c3027cecb1259cb0ca8abc0741df4

Observation 178a06b7-020b-4274-908a-0f84e6eeffd2 · outbound

This paper cites Machine learning for hardware security: Opportunities and risks,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Machine learning for hardware security: Opportunities and risks,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.821027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.310791Z digest=sha256:00625e74a3ed8b759c2266a32523825b0f43f8eec42727c1166b1d61d6ded5d9

Observation e8b2e33a-b9ae-4636-b206-20462903b7b3 · outbound

This paper cites Hypfuzz:formal-assisted processor fuzzing,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Hypfuzz:formal-assisted processor fuzzing,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.805269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.315193Z digest=sha256:8e4117bc82aa11e47cd1f81344d186fcc71ad6cfd2167c3dca3ccba759f74027

Observation ccbd879b-0443-4227-b95d-fbe00128d347 · outbound

This paper cites Automatic test bench generation for simulation-based validation,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automatic test bench generation for simulation-based validation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.791064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.320023Z digest=sha256:987d076301e3f5358aabfce9e3da601466aa7bb935533df159ac5d6fb55f73e5

Observation 8198a97d-f9a7-4669-b3a0-d54f03950aee · outbound

This paper cites Coverage directed test generation: Godson experience,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Coverage directed test generation: Godson experience,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.776298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.324221Z digest=sha256:e01509a415efcafd517ff1a220af98f8812390de13eb88e3f3eb7429bca92155

Observation bc2c5cb4-5400-42ea-ae80-b1904db824f2 · outbound

This paper cites Automatic boost- ing of cross-product coverage using bayesian networks,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Automatic boost- ing of cross-product coverage using bayesian networks,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.761750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.329023Z digest=sha256:2d243340f23fe06ad39c2bd7053cd38cdd7630684fbe8c541ee8f241b25baa71

Observation 936dca78-c614-4439-9d47-9944efe4a2a0 · outbound

This paper cites DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:09.333917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.333917Z digest=sha256:db28da64b9841645ae213002d0cb62cbb48037b80e15fbcd0638c89e0435939f

Observation e622d6b6-7ffa-44c9-8180-f23aaa590091 · outbound

This paper cites Llm4sechw: Leveraging domain-specific large language model for hardware debug- ging,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Llm4sechw: Leveraging domain-specific large language model for hardware debug- ging,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.747500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.338596Z digest=sha256:249632e6c1f712c27ab88394025b986af8e26f3883cf66d111be6ecad6444647

Observation eff81140-5be2-4877-8353-85d0ab0285c8 · outbound

This paper cites UVLLM: An Automated Universal RTL Verification Framework using LLMs.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 70

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no resolver link, observed 2026-08-06T22:55:09.342893Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.342893Z digest=sha256:a405825b4eae52a4318c50a93f7cdd039252d967454ec04aaee02c0c40616fe0

Observation 3a84ceaa-b353-42ea-a724-73b49dedee21 · outbound

This paper cites Rtlfixer: Automatically fixing rtl syntax errors with large language model,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Rtlfixer: Automatically fixing rtl syntax errors with large language model,

Reference 71

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no resolver link, observed 2026-08-06T22:55:09.347202Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.347202Z digest=sha256:b7d0f9f1ebca590bc48e5df76e3c66953ade075ae88c4230da2e061387a30766

Observation 7d801361-ec76-4f30-beaf-ac4523e28112 · outbound

This paper cites HDLdebugger: Streamlining HDL debugging with Large Language Models.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models HDLdebugger: Streamlining HDL debugging with Large Language Models

Reference 72

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unresolved
no resolver link, observed 2026-08-06T22:55:09.351544Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.351544Z digest=sha256:b0bea32625470a9b0d7d18e2401b8c70101f4ec24327cc168d17cb387e5e3612

Observation db8a545c-3605-4b79-95b9-71430392503b · outbound

This paper cites LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation

Reference 73

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unresolved
no resolver link, observed 2026-08-06T22:55:09.356710Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.356710Z digest=sha256:56f09eec85c3b330dd1a1f1ef07117b90c0e6dad2304d646b950b4bf17d20a5d

Observation db456d25-33ab-4d0c-8769-8e304ccf650c · outbound

This paper cites Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction

Reference 74

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unresolved
no resolver link, observed 2026-08-06T22:55:09.361068Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.361068Z digest=sha256:368d484606a0d3e4cb646eab6fb66d39980c48e6fd13c43917d0a44dd42d7c06

Observation 7504df44-2fe8-492d-ae16-599cfe940c0e · outbound

This paper cites VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction

Reference 75

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unresolved
no resolver link, observed 2026-08-06T22:55:09.365872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.365872Z digest=sha256:52a89cfaf5cab0868bbb2f520ee1ea7b6e17935516c8fc94a4e7b643bc54eda2

Observation aa4b6cb0-fa18-42a0-80e8-360fa55de017 · outbound

This paper cites FLAG: Formal and LLM-assisted SVA Generation for Formal Specifications of On-Chip Communication Protocols.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models FLAG: Formal and LLM-assisted SVA Generation for Formal Specifications of On-Chip Communication Protocols

Reference 76

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unresolved
no resolver link, observed 2026-08-06T22:55:09.370121Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.370121Z digest=sha256:74dd1b3f17deac9189ecd39c10f36573ee49eff7db08e30483d54f361036ac99

Observation 608bd155-9046-40f0-9577-3b621ecabda7 · outbound

This paper cites AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL

Reference 77

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unresolved
no resolver link, observed 2026-08-06T22:55:09.374587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.374587Z digest=sha256:4dd9e803064ac20a63ab8efd9b9d292f3ce1cde4ade8fa5850e4bb1e63ab71b7

Observation 98ff1636-de98-4b97-ab8b-3b2b14d63cbc · outbound

This paper cites FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware

Reference 78

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unresolved
no resolver link, observed 2026-08-06T22:55:09.379104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.379104Z digest=sha256:57b41b3a07403b6399ce919c86ff998173bb6b0b4ccc8c86b9c6f3e96a21bd80

Observation 2f202523-5748-4ffa-aad2-cb2347215b9a · outbound

This paper cites Towards improving verification pro- ductivity with circuit-aware translation of natural language to systemver- ilog assertions,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Towards improving verification pro- ductivity with circuit-aware translation of natural language to systemver- ilog assertions,

Reference 79

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no resolver link, observed 2026-08-06T22:55:09.383506Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:55:09.383506Z digest=sha256:90c1f6347af5b2079102cc9808d0038edd1dcfb70a64b12c9329462d4767d78e

Observation 0f195651-f9cd-40ad-8fc1-8022bbd9d75a · outbound

This paper cites AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation

Reference 80

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unresolved
no resolver link, observed 2026-08-06T22:55:09.388266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.388266Z digest=sha256:1ce6e6b240b59891e40c0f0b22e62038e12153ed2c41c820ea1799302911b0ed

Observation a8110abe-a0e9-4345-b325-57cd39c831ea · outbound

This paper cites Llm-guided formal verification coupled with mutation testing,.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models Llm-guided formal verification coupled with mutation testing,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:09.713954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:55:09.392728Z digest=sha256:e72bb844da385b02bb5704c607b073ea66bcd582955964f61a07caa96195b160

Pith citing papers

Observation b9ce994f-9095-490a-b6d1-8adf15a27b67 · inbound

LAsset: An LLM-assisted Security Asset Identification Framework for System-on-Chip (SoC) Verification cites this paper.

LAsset: An LLM-assisted Security Asset Identification Framework for System-on-Chip (SoC) Verification SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Reference 20

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verified exact
arxiv_id, observed 2026-05-16T17:53:11.574188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T17:52:19.989248Z digest=sha256:a877ce9f3ec7589800d5c9c89276a49679edb200649408b7b37195bb6b212b13

Observation b7ae158e-8fa4-49c2-8a53-277b1fd51a92 · inbound

Evaluating LLM-Generated ACSL Annotations for Formal Verification cites this paper.

Evaluating LLM-Generated ACSL Annotations for Formal Verification SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-15T22:16:42.638171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T22:15:21.599523Z digest=sha256:ff5150d9ad93a4a40671e7235fd646c9b46faea82cd8583125f7b801d90e3252

Observation 55e158fb-9cf2-431d-b2d8-c3cf801408a7 · inbound

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification cites this paper.

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:26:27.130682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:23:01.648809Z digest=sha256:11868d77fec00734923670202fbb7b615b9c5137ff5acf5b649acf34c2d49eef

Observation d8c70667-e472-4488-b593-a0c770d0e17d · inbound

VeriChat: An Agentic Conversational AI Assistant for Hardware Security Verification cites this paper.

VeriChat: An Agentic Conversational AI Assistant for Hardware Security Verification SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:48:04.406338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T11:42:34.927821Z digest=sha256:62a7ca89313d061e04a3d9e2b83d77bbb3f0ce348dc0bdf0f29dd14167e1dac7