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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:96210af8463380c8dc8df1e04dc08a775d253f3e5214ed82698c3f3a5fd25f0f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.026638Z digest=sha256:0b863ec1f1184bcf963ea980d04dd70b4d75f0d1418eb78abd3c3cb7b95bef23

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.031722Z digest=sha256:20ad4b4712ed71f27ab46eb04d16b14579315f7b995a75146dac29950235377e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.037056Z digest=sha256:4b6b2d9afc824962c2026dcd05d8904d4bf7602d9cfe1a4a60bb5ea1d2c1c35e

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=sha256:0560b3df86b149ce8a21dd793ec9c91310b2a18724a13ef25e6003b6f7a2d791

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.046841Z digest=sha256:917a9bcc200eeaf769fa7c9264726bf43adc9435c3bf7c8df18d72a36a3b7058

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.052022Z digest=sha256:eec66dc42139683447ad921a592f2096977228e2e407cd28c8a94d521d2c2ad4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.056495Z digest=sha256:dea9b60ca248df150efe9f882efdd0338b67f96535e5b62cc0fe38afbf2e6543

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.060951Z digest=sha256:2d4fc9d2fb76e7aa3311bd8a4eafe2adc6a74a3068f16180ee5d6ee3f57affd0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.065208Z digest=sha256:39e22e83b3cd9f6c0d051f0ebe5590887d4ae51b27aa1af23cc3d09ac7e4b025

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.069903Z digest=sha256:b78102d1fc5210c9fbead406ddfc8780777932ef61966237d69e332bfc36ef7f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.074367Z digest=sha256:be297b76854be125c82c351435707e0b61399943154d38c5138f7cc85c984f19

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.078686Z digest=sha256:f204f09a5d6ff42b0d014b0a280f95eaf4c8cc714bf83d5a51706b56c6e2217f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.083037Z digest=sha256:6246b3ea9ead04197cf878f35f93763ac9ee0eab4e9d9b6799b24a5b2e19c8d8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.087430Z digest=sha256:9c9751147bdbc8069a596854b9a6b39fb76dd06a6d1cde633797b830ae7997fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.092258Z digest=sha256:177c7fe95d965f9ddc297aa775961ca7161cc85d6c8133bfe445005bce319a85

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.096790Z digest=sha256:2955a4e9554220142875601e202d6ea3e005f3a3e7d69122e6faaa1557d63981

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.101395Z digest=sha256:4756f5fe69224b370f249e3056cdf46fd9d7d1568da7500f672f042f83e53c48

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.106386Z digest=sha256:af8dddb3b1bd12f77f8e034e468028f76aea8f28a2eba176c5f65938fbb16917

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=sha256:7780667d5e24ed29821bd5a7ffaba0ffa376ad794b945aba6fb7281d5229cf68

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.115606Z digest=sha256:066c5c11407a5dbfa283b7dcf87e78509082b6645025a30db019135569b8b3d8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.120200Z digest=sha256:2674cd9208ea2993e34ef5c92701c77ee8572f47560e507e1a2637f978aa1038

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=sha256:4a57b8492c3d4e242dec9838fe45a4d509ebe2a18647724c00f2cee06b9352fc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.129596Z digest=sha256:2790db1eb0370129e29601af53b370d3d500e4a0cbd355942e455717339e27b0

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=sha256:3c6dd6ad8e8eaf721543bfbbfe35ef8a7ceefb7d3deb5a48f7208458729541b3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.138859Z digest=sha256:4b9218445e603af78578f882fd7475a0d4a6b5b0044cb573d957e898a915d1bc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.143629Z digest=sha256:3494e826dded9ff198cefdab608ee4082247f258c4cf7444eacdc2244d28753c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.148062Z digest=sha256:44a6b1ca52725e0f33e369ce32e0da83921ea5c68a040f70ea5f00cdf041430f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.152595Z digest=sha256:cc62235370448667bb3d99328dbc2f986b9b6174034af8f6bdba69587f251702

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.157056Z digest=sha256:e6e2fec75c77515c070e9388fb948e7e29d586b00abea879f3c76b7dc43acbe1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.162037Z digest=sha256:99d1d3e95353dc0fda46ea96bde857b0efecad0c6ee9f18f419777fa37e72332

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.166563Z digest=sha256:05fa97db99d9ab291809b0e6484c3e1ba902a55dbb7d45958a63450576891504

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.171052Z digest=sha256:6a13f571cd969dfc299aca34085329b47f0b42a68b2ed363f030e01beac1a4ec

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.175385Z digest=sha256:505333d979be298188ae486e70084857aa3541e6c4c149328c5eb82bad24e919

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=sha256:5a15bab52bc43f69be488e1647cfd8daff9367b0d53c4e766b4241107a260bbd

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=sha256:2e42439fd1955a14ac96c39ba8e5472819994816f6f76755837f9712a955977a

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:ab94ccca7c86b0d0e26a05954f0a5365e6324d5b8a09803eee29a60863b3f95c

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:b2cf5c0364e03ad9730701fd2468b5a77704f882477dc70ef122c48bd88dde94

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.199793Z digest=sha256:4a2abc3a7e554880fcd9846c22cf32dbec4844eb2d79eef9664a1df6be340599

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=sha256:00af94a46e507880cfa4c0bf84dd43481e7c43cf22e0c05122cf4cf253f30f3d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.209132Z digest=sha256:4825086a5d6809f2a7f9f7990c4d5499c6647e4fd0dc8342a9048465a72218fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.213817Z digest=sha256:8bbdf1a16c096fd2834aec0ed23cf1312c9d67a183ea6a0f83d913a05767d87e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.218698Z digest=sha256:0eda9f8974dfd27a5a13c28f37430f91f24c72fc4bc7b3977374ca418da74015

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.223694Z digest=sha256:118889d89147d76a6aecfd64ebe0dc6d16637ea7dd13ac8e7b78b1788d63008d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.228350Z digest=sha256:7678639c6acee244fc5f7bb368028cf3ffb6ca8508ffd3c8e8b153dae8555663

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.232670Z digest=sha256:2ea6b0cc1620c276569f57b65653f509abaca02c2defd30b2445e5dc051e4627

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.236977Z digest=sha256:c71e4733e19f0bb023a86d4164d60d34efaf38fae309bd6d2176e1e70fd41ebf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.241432Z digest=sha256:a97bdb3e9831bf02599a4f83631bf25c10800704215d74abfce57529185b9300

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.246046Z digest=sha256:c89b7a56110339f4a9c92c8e519a3a73fabaa52fb0b9dd2e4e6fce3b8be98ba5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.251177Z digest=sha256:891fabbcfe65bb45b7b98dac147ced53d532681a938f1792ffb6f7241a49fc4a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.256532Z digest=sha256:92d3ec41747d83c97023ee7a345efb0d0d7273f8fa851052c2ddcd0f030b9a4d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.260859Z digest=sha256:4a7c89833e42d3cf98d76828278598e1673a5624b93a7507f7f950e65e8860a0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.265154Z digest=sha256:465417efd551ebbd3ebd5c9708e716ee407c30cfe11fda985739948e5265b76c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.269580Z digest=sha256:1e540e8c57c1f27f39b376f2ea0d3a978c6cf741fd722a421f3d8de8fc3654bb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.273992Z digest=sha256:a5005e145fe8de9789bbd585cc18acefbbd1ad23714fdad1ac7ffd63eeaf164e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.279048Z digest=sha256:d1b240e311689215cde7cd3b1f2e41e29d44a05a9d3a502c1fca1816e71604f7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.283612Z digest=sha256:470a6513dcbbe8e641abda0a4d12420fe85fbc261788ea95715ea9a6ec34abab

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.287826Z digest=sha256:9350891303689b53540b745c2a044a3d33ef9a3d23f355b3bd18ceca8f8f2f38

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.292315Z digest=sha256:b85fbc5cdf276263aaf96ab5bc7791386b41ef7214e5ff661566accf2e484cda

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.296972Z digest=sha256:75c71b65c1ad4bdb16b0a024988c69409a0b75f1595abb360fd2c445cc3888f0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.301313Z digest=sha256:6779061376ef7fa27956ffe2217ee57a9e8131ab449d3df1b2ea30df6e94737d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.305975Z digest=sha256:cd6ec599fa56ccc2aff5cced90506bc7041647e54e2bb0bb08f7a7560f6849f9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.310791Z digest=sha256:55444bfea73d6d975dff590a1b52cbf597540e494ecf30de61fa02734d4821cd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.315193Z digest=sha256:7e15ab7f97f9fcbb5b169ed48503917334e3e8cc053aa009650a32ec4e720633

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.320023Z digest=sha256:d207e578f6d2432f4a828dfdad25f0adf1c024aa368c5d0a3d92eb6fa3a9e975

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.324221Z digest=sha256:afa3cd3b780b2a6b6625ca6e9ad2d44509cfedebb70bfe39f6975cca06288459

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.329023Z digest=sha256:c0674dc9c9baa9f82fad9d3a9043898b8ca4c15849da1bf0b6439d5db0425655

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=sha256:5aef5d31f6e7e1ce51db981c604b4587ffe66c718f1edf4764a6edd32ded12fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.338596Z digest=sha256:8569f5f99c932da79823b4b007b684360176862bfd95644f10d83c4edc880a0d

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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unresolved
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=sha256:6e9e3a83d9749cbf0acb8959049b0e7e011df024f5484b40bf96eaf3213379e4

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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unresolved
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=sha256:3f9795d9e72ab3d631bc4cc5edefc014db878305b53101e590bb5d89ce967a2d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.351544Z digest=sha256:56934d842797c5ef2a478d1b6949fd1b37c4768984dba8417e9f826da9f07602

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=sha256:5a0742b1aa7f97910168ef2475fb8528295efc5f0a95738831751b5314a67a77

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:f6405ce0c6fcb914179caa55ddd0d1484f726e42abd64baba02f335cee4b9ddd

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=sha256:11ebbfb8a7f0fb20f2609a23c5de58b310aeaddbb72dccd7e942ac271f57ddf2

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:09.370121Z digest=sha256:dd6f340630718d2f5fd4af33be7a331dba83ce16cd43eac7e09ed01ba0c7bdb2

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

Resolution
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=sha256:61f917fa0d1c0fec32de4614475e749619a7646abd9e82e4736108c89a98dc76

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

Resolution
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:bbe8f5112cacc763c258d8d2d7f9288ea6630a03e31316052a1756f102253b13

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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unresolved
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:d9c813b3c46a12ca273dea4a0ea3cc7d24bb2e10d05949f9d7361f7e3c048611

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=sha256:13d9a920e90abf135366b9873529d8200cb77ac769d43a7c559ab32ef47c087a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:55:09.392728Z digest=sha256:1892efafe0dd708c9ea4c76ee0baf46c6833525f99d31335f9d838b48762cbb1

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T17:52:19.989248Z digest=sha256:6e483eb8832434c9bc24624fd18c1ab4cb458aa42ed2f9d688463c82c0b38e33

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T22:15:21.599523Z digest=sha256:31cd7d2e48b8bf856d01a2719c7800fadc98ba366c48298170f175985942e867

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T18:23:01.648809Z digest=sha256:217f50421c400390fe444bcf91643e32e8a4a13e86c191eb027a035617bcdb73

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T11:42:34.927821Z digest=sha256:07bc9a7040fb46750384ebe6ce9299459c1d84e9a224d755db54e138853bbc5b