Paper Citation Record · LEDGER

CLN2INV: Learning Loop Invariants with Continuous Logic Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.11542.

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

pith.paper-citation-record.v1
1909.11542 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:41:42.997732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T00:57:54.262157Z

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 4f1c4e80-0514-4299-8173-8148ea60366a · inbound

Breaking the Myth: Can Small Models Infer Postconditions Too? cites this paper.

Breaking the Myth: Can Small Models Infer Postconditions Too? CLN2INV: Learning Loop Invariants with Continuous Logic Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:41:42.997732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2e01b7-3c9d-44bf-b3dd-6ef9bd896a86 · inbound

SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification cites this paper.

SpecSyn: LLM-based Synthesis and Refinement of Formal Specifications for Real-world Program Verification CLN2INV: Learning Loop Invariants with Continuous Logic Networks

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:46:41.764404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bb642024-bfb2-4e35-b147-67046963ffe9 · inbound

Guiding LLM-based Loop Invariant Synthesis via Feedback on Local Reasoning Errors cites this paper.

Guiding LLM-based Loop Invariant Synthesis via Feedback on Local Reasoning Errors CLN2INV: Learning Loop Invariants with Continuous Logic Networks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:57:54.263582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 603a4f74-6b4c-4cee-9813-9160a600d9bf · inbound

LimICE: Integrating LLM into ICE Framework for Efficient Loop Invariant Inference cites this paper.

LimICE: Integrating LLM into ICE Framework for Efficient Loop Invariant Inference CLN2INV: Learning Loop Invariants with Continuous Logic Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T04:51:20.168266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.