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Paper Citation Record · LEDGER

Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.19736.

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

pith.paper-citation-record.v1
2410.19736 v1

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:24:29.800734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:41:56.376275Z

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 e0625b05-167b-41fb-a1a4-e04a634b1650 · inbound

VeCoGen: Automating Generation of Formally Verified C Code with Large Language Models cites this paper.

VeCoGen: Automating Generation of Formally Verified C Code with Large Language Models Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T10:24:29.800734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:24:29.800734Z digest=sha256:b4f0a51b40c3cbb342d614f055fa738d6bb51df36047b03f33a94d50f83e0813

Observation 571f4425-445c-4692-a05f-bbfca558e721 · inbound

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code cites this paper.

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:41:56.377894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T18:40:59.564031Z digest=sha256:c4deedd4be279442c4c7153623bc8fcddcab9c33f90a803c6c5c9eb1eb293be8

Observation 5c3948fe-fbcf-414a-b786-dd009bfd7938 · inbound

Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision cites this paper.

Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:32.604982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:32.604982Z digest=sha256:90a06ccca729937e0375821c5d90ddefd7dfbde239aec1a718fc59021a63b743