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Paper Citation Record · LEDGER

Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.11891.

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

pith.paper-citation-record.v1
2404.11891 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:14:05.501476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:45:49.163189Z

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 086466c0-c5ee-4fa8-8008-38bb86af0455 · inbound

Nidus: Externalized Reasoning for AI-Assisted Engineering cites this paper.

Nidus: Externalized Reasoning for AI-Assisted Engineering Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:05:48.387650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:21:53.699234Z digest=sha256:7c3f1bafec307d5c9b86318fcaf6832d801101451ab9fae0ca4c93fe116c7637

Observation 2e657624-74ab-4fd8-9741-4740f3d1a2bf · inbound

Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents cites this paper.

Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-09T00:45:49.164575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-09T00:42:41.005937Z digest=sha256:49aba8a342863974186f4218d3afdd54c066f84ce18fb7e57c6f76070bee55c0

Observation fd31b1a8-4763-4b4d-b38e-b7012488374a · inbound

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning cites this paper.

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-30T15:14:05.501476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:14:05.501476Z digest=sha256:0244d0e1df8da2e8b8dbb62c0384069a3b850fd51457df92533f6604fa19c824