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Paper Citation Record · LEDGER

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.00798.

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

pith.paper-citation-record.v1
2402.00798 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:39:45.438375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:08:50.623118Z

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 a2eac420-cb9b-4179-a345-2802c93bbf2b · inbound

Logical Reasoning in Large Language Models: A Survey cites this paper.

Logical Reasoning in Large Language Models: A Survey Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T22:39:45.438375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:39:45.438375Z digest=sha256:c09fb77023ec7e3aa020822656a8f70f39de1cb661721abf4905ce5d0e0f6a79

Observation c8cd9652-6ac1-47a8-b7eb-d497f3294b5b · inbound

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization cites this paper.

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:49.662536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:47:49.662536Z digest=sha256:37ce27effa01a43457b80c09b86d737fb09812ea4a92a1c624a75408d5c33d18

Observation fc9fd209-6462-48c5-ba28-af108b0ea08c · inbound

Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction cites this paper.

Integrating Large Language Models into Text Animation: An Intelligent Editing System with Inline and Chat Interaction Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:13.857984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:13.857984Z digest=sha256:38251c953bcd04750645f6f4f739089c1b4257b515ab775642fc1c0b4b8c38a9

Observation 82fa2688-4cb9-4677-87c7-aa9d195e76fc · inbound

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

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:43.916068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:12:43.916068Z digest=sha256:dd116c6e8be47dd922cf708694aa6278c215f612953f19ad00bfab0bee6627d0

Observation a9aa8670-4067-40d4-8032-68027e26cf9f · inbound

Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation cites this paper.

Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:08.651854Z

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.

source=pdf_text observed=2026-05-10T11:08:46.060298Z digest=sha256:cbb78274e18f4d78885fdaa970f91762e00b8375955a11b6e80b339704d8bcfe

Observation 400aff4f-b3c1-4b27-88f9-1e6a22ed4f4b · inbound

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI cites this paper.

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:08:50.625256Z

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.

source=pdf_text observed=2026-05-20T18:08:24.901025Z digest=sha256:6a1349655ae47374fb64556d9668d56330c1fd60fb4f9cd2a67a85c3636d43cb

Observation 917266c3-e7ae-4031-baf6-bcc71456050d · inbound

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery cites this paper.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T06:48:32.645976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:c38894455955038f485250f3a8e16a2a1dd06c18df6c1a77270c180fea79fb9a