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Paper Citation Record · LEDGER

On the Effectiveness of Large Language Models in Writing Alloy Formulas

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.15441.

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

pith.paper-citation-record.v1
2502.15441 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:34:18.263340Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f6546f1-dc69-4fd8-8013-b95822952358 · inbound

Event-B Agent: Towards LLM Agent for Formal Model Synthesis and Repair cites this paper.

Event-B Agent: Towards LLM Agent for Formal Model Synthesis and Repair On the Effectiveness of Large Language Models in Writing Alloy Formulas

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:52:49.998236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T22:51:50.268490Z digest=sha256:a022cbb869ca51341badb86fc8b7cdbf7939a6614a6a3cfc768972e0a21ac9cf

Observation ba21a431-36cd-479c-bc27-6280adc2d801 · inbound

Verified LLM-Driven Synthesis for Concept Design cites this paper.

Verified LLM-Driven Synthesis for Concept Design On the Effectiveness of Large Language Models in Writing Alloy Formulas

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T22:34:18.263340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:34:18.263340Z digest=sha256:1dc972113d400f1df0f9d139ee49ec3953414331749958f991657eedecba27c1

Observation 6145b5e9-7705-4bb7-97e9-dfd90b5db7b0 · inbound

LM2Alloy: Investigating LLM-Generated Formal Specifications for Automated Test Derivation in Production Software cites this paper.

LM2Alloy: Investigating LLM-Generated Formal Specifications for Automated Test Derivation in Production Software On the Effectiveness of Large Language Models in Writing Alloy Formulas

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T15:04:47.530935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:04:47.530935Z digest=sha256:7bb6047f89c13c70153e256b1e3eb2ea3c49054c775b2146fca0c092f3967cfb