Paper Citation Record · LEDGER

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2509.00647.

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

pith.paper-citation-record.v1
2509.00647 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:27:28.116997Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:14:16.096517Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy24
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a9f65a8-dfe1-4244-905f-e9cb7e5433b6 · outbound

This paper cites Hardware security in practice: Challenges and opportunities,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Hardware security in practice: Challenges and opportunities,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.728602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea22b087-906c-47b1-84cf-1cba99c6d6cc · outbound

This paper cites Attacks and defenses for jtag,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Attacks and defenses for jtag,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.711463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5247908-3bf9-4828-bc1a-ae54e403e7bf · outbound

This paper cites Comprehensively labeled weakness and vulnerability datasets via unambiguous formal bugs framework specifications,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Comprehensively labeled weakness and vulnerability datasets via unambiguous formal bugs framework specifications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.681182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42a7d62b-c911-42db-93f5-6400f5e75ec9 · outbound

This paper cites 2021 cwe most important hardware weaknesses,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement 2021 cwe most important hardware weaknesses,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.662297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1db3e274-351a-4dbe-a54f-3dea98dab262 · outbound

This paper cites {HardFails}: insights into {software-exploitable} hardware bugs,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement {HardFails}: insights into {software-exploitable} hardware bugs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.630063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3ad1d32-8a5b-4a54-ba86-40e8d57a5552 · outbound

This paper cites Categorizing and predicting invalid vulnerabilities on common vulnerabilities and exposures,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Categorizing and predicting invalid vulnerabilities on common vulnerabilities and exposures,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.614917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22cb9993-e066-476c-86c1-03ff0874dc4a · outbound

This paper cites Automated cpe labeling of cve summaries with machine learning,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Automated cpe labeling of cve summaries with machine learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.595513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0936b33-bb30-4d72-a6ff-716358cd4043 · outbound

This paper cites Unsupervised labeling and extraction of phrase-based concepts in vulnerability descriptions,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Unsupervised labeling and extraction of phrase-based concepts in vulnerability descriptions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.569799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e486422-ee2e-41c4-852e-f2cd6932e781 · outbound

This paper cites Data mining: an overview from a database perspective,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Data mining: an overview from a database perspective,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.547165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca97a4e5-8c47-4dc6-8580-4c48d183127d · outbound

This paper cites Large language models are zero-shot reasoners,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Large language models are zero-shot reasoners,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.530429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6632ff0-8be4-438f-8607-74920d626891 · outbound

This paper cites Potential of chatgpt and gpt-4 for data mining of free-text ct reports on lung cancer,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Potential of chatgpt and gpt-4 for data mining of free-text ct reports on lung cancer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.514558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54fea00a-5dbf-476b-857f-c0d96cfd11e2 · outbound

This paper cites Does Synthetic Data Generation of LLMs Help Clinical Text Mining?.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:27.992288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db6bbee-675e-4d30-8ae8-bd2ad1086179 · outbound

This paper cites An analysis of the use of cves by iot malware,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement An analysis of the use of cves by iot malware,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.497572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a100c076-bd6a-4e13-90bf-adf45ff4d428 · outbound

This paper cites Wids: An anomaly based intrusion detection system for wi-fi (ieee 802.11) protocol,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Wids: An anomaly based intrusion detection system for wi-fi (ieee 802.11) protocol,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:28.004239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df5acad-c8cb-4df2-b5bb-22bdbc2cd81a · outbound

This paper cites Bluetooth intrusion detection system (bids),.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Bluetooth intrusion detection system (bids),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.468575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f83d1f6-f60e-4824-89f7-5e4753a666cf · outbound

This paper cites Anomaly behavior analysis of dns protocol.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Anomaly behavior analysis of dns protocol

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:28.015631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eadc38eb-e049-4e33-9465-bdd100475201 · outbound

This paper cites Unveiling the landscape of operating system vulnerabilities,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Unveiling the landscape of operating system vulnerabilities,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.426724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27fe155e-f783-4d7e-a5b8-fc25c992d886 · outbound

This paper cites Security trend analysis with cve topic models,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Security trend analysis with cve topic models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.401651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3648ece5-d12d-45f4-b726-7824e7a92450 · outbound

This paper cites A survey on deep learning for named entity recognition,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement A survey on deep learning for named entity recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.383229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d0ad21c-a5d6-4d75-954b-ce2bac262048 · outbound

This paper cites An introduction to conditional random fields,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement An introduction to conditional random fields,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.364049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da08c7db-8cd3-4c45-8da5-9051354713bc · outbound

This paper cites Teleclass: Taxonomy enrichment and llm-enhanced hierarchical text classification with minimal supervision,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Teleclass: Taxonomy enrichment and llm-enhanced hierarchical text classification with minimal supervision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.347020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 086d36c2-c907-49c8-9c0b-736c86fc7754 · outbound

This paper cites Tnt-llm: Text mining at scale with large language models,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Tnt-llm: Text mining at scale with large language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.331610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75dc9137-c9ee-4c35-a91f-d30cb9816f96 · outbound

This paper cites What should we engineer in prompts? training humans in requirement-driven llm use,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement What should we engineer in prompts? training humans in requirement-driven llm use,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.315311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87d70e70-5f5f-4db7-ae61-532b10bfba6d · outbound

This paper cites Multi-view k-means clustering on big data.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Multi-view k-means clustering on big data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.296621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a790fb59-3705-4464-a7f4-4ce6fce550e9 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:28.066624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d108e4d8-fc21-41a3-9fd7-729621a3ba88 · outbound

This paper cites Openai python sdk.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Openai python sdk

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.271326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3f94e5b-cc2c-4973-a284-09b1a80f082b · outbound

This paper cites AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:27:28.162877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e4c5942-dd83-4570-98ec-0ffc37825a47 · outbound

This paper cites Visualizing data using t-sne.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Visualizing data using t-sne

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:28.097568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1610c245-21bc-44fb-b4f6-143233f8b62b · outbound

This paper cites 2025 cwe most important hardware weaknesses,.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement 2025 cwe most important hardware weaknesses,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.242019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9615ca58-3377-43b4-b05f-d43fbd35b17d · outbound

This paper cites Available: https://cwe.mitre.org/topHW/archive/2021/ 2021 CWE MIHW.html.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Available: https://cwe.mitre.org/topHW/archive/2021/ 2021 CWE MIHW.html

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:27:28.644783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ca1c263-9952-461e-92d2-ace0172d6066 · outbound

This paper cites an unresolved cited work.

LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:27:28.225451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 3303fcde-d345-4f96-a594-2d0a42636395 · inbound

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community cites this paper.

Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community LLM-HyPZ: Hardware Vulnerability Discovery using an LLM-Assisted Hybrid Platform for Zero-Shot Knowledge Extraction and Refinement

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T06:14:16.096517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.