Paper Citation Record · LEDGER

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

As of 19 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 10 inbound Pith citation observations for arXiv:2412.06512.

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

pith.paper-citation-record.v1
2412.06512 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:38:04.893013Z

measured 14 of 14 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:45.243613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:00:00.402510Z

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy1
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5535e13c-8b79-42f4-a06e-1fb4c2c1264c · outbound

This paper cites Don't Make Your LLM an Evaluation Benchmark Cheater.

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:04.893013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234220a9-05ac-49bc-b068-1cde7c820422 · outbound

This paper cites an unresolved cited work.

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:38:05.007294Z

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 85f5f0af-9e43-4940-bd9a-e5a252ed0ec7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap LLaMA: Open and Efficient Foundation Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T19:38:04.879615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d27b0b-38f7-460d-b874-5e7a143707bc · outbound

This paper cites In Findings of the Association for 24 Zhang et al.

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap In Findings of the Association for 24 Zhang et al

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:38:04.988505Z

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 97b3ffb2-4786-46ee-928f-7234137a0fec · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.939672Z

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 3d9ba734-9d20-4ca4-87ea-f9cb28a7542b · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:45.243613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665c83b2-3cd5-498e-b72b-09e5d0450688 · inbound

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement cites this paper.

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T21:12:42.386148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08a86617-3479-4b37-9de1-a855503fbc22 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:17:36.678285Z

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 9b305248-26b5-4064-b2b2-208aa0ba53d7 · inbound

Syntax Is Easy, Semantics Is Hard: Evaluating LLMs for LTL Translation cites this paper.

Syntax Is Easy, Semantics Is Hard: Evaluating LLMs for LTL Translation The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:25:57.911954Z

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 c340f44f-2fa4-4a70-a634-81886244b4cd · inbound

MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents cites this paper.

MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:12.410346Z

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 44b99f87-1e91-410b-a094-6288c01411fc · inbound

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples cites this paper.

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:55.968997Z

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 05064a30-cd04-46e1-9d29-73c9c6817433 · inbound

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming cites this paper.

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:00.404456Z

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 276c4c5a-0ea6-4f19-9679-3157a056bbc6 · inbound

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming cites this paper.

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T12:34:58.460933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d725d24-962c-4b77-816a-c4431227d9e2 · inbound

Ceci n'est pas une pipe: AI systems as semantic abstractions cites this paper.

Ceci n'est pas une pipe: AI systems as semantic abstractions The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Reference 107

Resolution: unresolved; no resolver link, observed 2026-07-13T02:40:34.279112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.