Paper Citation Record · LEDGER

Fixing Hardware Security Bugs with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01215.

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

pith.paper-citation-record.v1
2302.01215 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:27.405666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:01:54.480893Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3169c8c-49fb-4951-a3bf-10d4bf06420a · inbound

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification cites this paper.

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification Fixing Hardware Security Bugs with Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:01:54.482738Z

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.

Observation 50b8a9c4-56fe-4909-a6d6-3f64b8321e32 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Fixing Hardware Security Bugs with Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:27.405666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb385c77-261e-4f00-a9cc-c8cf431999f7 · inbound

Wit-HW: Bug Localization in Hardware Design Code via Witness Test Case Generation cites this paper.

Wit-HW: Bug Localization in Hardware Design Code via Witness Test Case Generation Fixing Hardware Security Bugs with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T18:37:10.124363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3931b6f0-c2f4-4c60-87b5-c06ed0654cb5 · inbound

VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog cites this paper.

VeriCWEty: Embedding enabled Line-Level CWE Detection in Verilog Fixing Hardware Security Bugs with Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:45:21.415063Z

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.

Observation 9369c088-002b-4f7f-bcd5-243221059129 · inbound

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench cites this paper.

Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench Fixing Hardware Security Bugs with Large Language Models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:52:43.007622Z

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.