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Paper Citation Record · LEDGER

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair

As of 9 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2607.28877.

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

pith.paper-citation-record.v1
2607.28877 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:29:16.320423Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0061193a-94d0-4b18-8d25-55f69a70744a · outbound

This paper cites Symbolic model checking without BDDs,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair Symbolic model checking without BDDs,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:15.660188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:15.660188Z digest=sha256:b70827d431196374d43244bcec257161a9abfde1897b09c869f86f62ff66d80e

Observation 0eaa25d0-3ca3-4a68-bc25-0548cd42fc6e · outbound

This paper cites Checking safety properties using induction and a SAT-solver,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair Checking safety properties using induction and a SAT-solver,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:15.754445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:15.754445Z digest=sha256:25b8ea5df1e1b71eea25fff8656be506c4f4c4353b7ae39e94c29894b42fb66c

Observation d1e0ce1a-0209-4784-9b71-5ea8188d2c6e · outbound

This paper cites Yosys Open SYnthesis Suite,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair Yosys Open SYnthesis Suite,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:15.887121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:15.887121Z digest=sha256:9138b3ed1fd102d1c2c24686ff3c8b2807f3c573c7024a3121c638d0846e6ca0

Observation f0876efd-b59f-47f3-8d63-8b6dc0622022 · outbound

This paper cites SymbiYosys (SBY): Front-end for Yosys-based formal ver- ification flows,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair SymbiYosys (SBY): Front-end for Yosys-based formal ver- ification flows,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:15.967309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:15.967309Z digest=sha256:f300dd7cdaf1ed6f2f16043abbfb6ae38fbbbabbf34ab94e7ffe3775793447bc

Observation b6baf92d-e003-4712-bfc2-d3969be97cb5 · outbound

This paper cites Z3: An efficient SMT solver,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair Z3: An efficient SMT solver,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:16.064899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:16.064899Z digest=sha256:63e18dd0de1518dba3c6821b995c9efb621d2a8e699228a34543835c2e24ebc2

Observation 3d4a764e-0cbc-49a2-b254-45781b7201f0 · outbound

This paper cites VeriGen: A Large Language Model for Verilog Code Generation.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair VeriGen: A Large Language Model for Verilog Code Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:16.160698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:16.160698Z digest=sha256:599631998065c87264dbcbc22a0e876ace14a676dbf78d546f333e2f9a42b97c

Observation 1a1f72c5-229d-4644-906a-c1ef3c6b6839 · outbound

This paper cites VerilogEval: Evaluating Large Language Models for Verilog Code Generation.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair VerilogEval: Evaluating Large Language Models for Verilog Code Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:16.231691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:16.231691Z digest=sha256:3ea1a1d875cb84bd92cc4c6c07a80536f69234885f017ad4e0ed87bb9ea96966

Observation 32b7c193-c622-4f63-83c4-378e535f8e8b · outbound

This paper cites RTLFixer: Automatically fixing RTL syntax errors with large language models,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair RTLFixer: Automatically fixing RTL syntax errors with large language models,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:16.282581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:16.282581Z digest=sha256:372a34eaaf3064d81fa07397684d6832685cc1e105372dd72bef92768aa5e392

Observation 4106567d-0156-46f0-847a-10ab279b6dae · outbound

This paper cites RTLLM: An open-source benchmark for design RTL generation with large language model,.

Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL Repair RTLLM: An open-source benchmark for design RTL generation with large language model,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T01:29:16.320423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:29:16.320423Z digest=sha256:40a547e346e78f6f2aef39a4286249e86ecc8989690b25a209f049d98db5fb89

Pith citing papers

No inbound Pith citation observations are available.