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Paper Citation Record · LEDGER

nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.04864.

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

pith.paper-citation-record.v1
2303.04864 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:52:51.605671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:56:58.169352Z

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 099b9af5-b3a9-435e-adb3-d8d1e5d895f1 · inbound

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback cites this paper.

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:56:58.173378Z

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.

source=pdf_text observed=2026-05-22T18:56:39.735334Z digest=sha256:61494aefb671a166304a5d7ccea87518d43c80521c18a4b1efe9fccb493ba7d8

Observation 11a8c03f-20db-4e63-b86c-f826c4672dfd · inbound

Formalising Software Requirements using Large Language Models cites this paper.

Formalising Software Requirements using Large Language Models nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:32.607805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:32.607805Z digest=sha256:626e8caec5224916e5e02cda043eb07f9ddf3c8d6be3db174b5032e55608c34d

Observation 68970c94-da3b-4532-ab13-60e94936a4b5 · inbound

A Short Survey on Formalising Software Requirements using Large Language Models cites this paper.

A Short Survey on Formalising Software Requirements using Large Language Models nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:23.342942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:23.342942Z digest=sha256:17c9ed880f201de20fe2da3989858950d36297d35b807c31984d0e65ecfcdae2

Observation 62d9f65e-e390-4d74-85b2-47bb1ecac43c · inbound

Working Document -- Formalising Software Requirements with Large Language Models cites this paper.

Working Document -- Formalising Software Requirements with Large Language Models nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:52:51.605671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:52:51.605671Z digest=sha256:144d08fed4f4fb96d0405282aeac9ee043e75ee15c11777819c494fb7003111a

Observation 2afde621-87dc-4154-8501-88055910f77a · inbound

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects cites this paper.

Leveraging LLMs for Formal Software Requirements -- Challenges and Prospects nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:13:49.499772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:49.499772Z digest=sha256:77c6038c490b073dae2cd548aef0acd590d4b55dfc0c8d34a34a5bdcee35bba8

Observation 21cdadbd-d082-44f2-8eaa-a8ac82e0309b · inbound

LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations cites this paper.

LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:40.074618Z

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.

source=pdf_text observed=2026-05-18T01:56:50.023943Z digest=sha256:c7286b5f2212b23e0899e81e83af3b4def13f1e79369ea98bec7f658a3be5064

Observation 442fd7ab-93ca-4f19-ae5d-568846d459da · inbound

Evaluating LLM-Generated ACSL Annotations for Formal Verification cites this paper.

Evaluating LLM-Generated ACSL Annotations for Formal Verification nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:16:42.667166Z

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.

source=pdf_text observed=2026-05-15T22:15:21.599523Z digest=sha256:c541c17b3c19abcfbdfd55953549d6e1e6e498a82a5c0eab499c8cd5e2e08455

Observation 290a15af-f5a6-4b59-9726-c6fa7926ff87 · inbound

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy cites this paper.

Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:53:11.774443Z

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.

source=pdf_text observed=2026-05-13T19:51:08.304741Z digest=sha256:e5c158fc0c5ec0a7b784977d60fc2e43b8f492d8848a228851fb960fd5328904