Pith. sign in

Paper Citation Record · LEDGER

(Security) Assertions by Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.14027.

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

pith.paper-citation-record.v1
2306.14027 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:51.097081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:35:55.918162Z

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 e46ba1f6-cfca-43fa-acfd-bf2cd7a2aabc · inbound

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection cites this paper.

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection (Security) Assertions by Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:51.097081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:51.097081Z digest=sha256:2cde8f6e413028b127259244236076b188f7fd397c0300635571cbe48297900b

Observation ce441583-6141-4dbe-9ab1-1c4486ef0478 · inbound

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine cites this paper.

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine (Security) Assertions by Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:52:57.629981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:52:57.629981Z digest=sha256:17a44a6c62e01c2fa3e9d7a626e9e13d347f76728c07d27b105464a401e9d08f

Observation 0b26ba63-56e8-4b94-95e7-886d6f1cb97a · inbound

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs cites this paper.

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs (Security) Assertions by Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:19:53.331516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:19:53.331516Z digest=sha256:1c5c1b85881b9880dd7d17466635b068e829fe64ce0ac92ec59a089212773dbc

Observation 4dc99c21-b227-4cac-a0bf-3c0296023d82 · inbound

SVAgent: AI Agent for Hardware Security Verification Assertion cites this paper.

SVAgent: AI Agent for Hardware Security Verification Assertion (Security) Assertions by Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:32.913943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:32.913943Z digest=sha256:4ac6673c811d31b28b3bdc8eba96d5f296cd7215ca9a0d3e083c19eb84adcbe2

Observation ed27f86b-2232-4d7b-9178-dfaa8a68d7b8 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification (Security) Assertions by Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:35:55.920120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:2b115212bcb9e5661af1613ac1ad3d2f8d709052fe7e9883acc3d1829ac409a7

Observation 300ab7ec-f714-4f93-a16f-e6c02bcce2cc · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification (Security) Assertions by Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T18:43:43.026720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:43:43.026720Z digest=sha256:19187413f5d63a3acfb14799fe5e6c8b5431c4a49a52986a99c5a5bb87327d80