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Paper Citation Record · LEDGER

Finding Inductive Loop Invariants using Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.07948.

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

pith.paper-citation-record.v1
2311.07948 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:58:50.081241Z

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

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
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 1bc8450f-0b71-496f-a4fb-58b50dd4088b · inbound

Next Steps in LLM-Supported Java Verification cites this paper.

Next Steps in LLM-Supported Java Verification Finding Inductive Loop Invariants using Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T14:58:50.081241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:58:50.081241Z digest=sha256:74082cee79e0373483aad4a5560f5b5f7f76d43de5a9d9631bdfc18aa9b9be64

Observation b77bb270-d6d8-4f8d-a47c-322785756d80 · inbound

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation cites this paper.

RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation Finding Inductive Loop Invariants using Large Language Models

Reference 8

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unresolved
no resolver link, observed 2026-08-08T19:47:52.220414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:47:52.220414Z digest=sha256:8aa05d7100dafd460ff5027b27bf33ea3b15a35569bb77324aaf9afa815378dc

Observation b3775d84-0058-4c7f-9174-08c29e01e1ec · inbound

ClassInvGen: Class Invariant Synthesis using Large Language Models cites this paper.

ClassInvGen: Class Invariant Synthesis using Large Language Models Finding Inductive Loop Invariants using Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:45:19.504615Z

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=2026-05-23T02:42:59.190220Z digest=sha256:758097cb74ef18772ffce47f25bfc0876b93e1c993c21206fcaa8456564aba7b

Observation f68b16e1-d3a8-4d32-aac2-bace0fe3595b · inbound

Autoformalization in the Era of Large Language Models: A Survey cites this paper.

Autoformalization in the Era of Large Language Models: A Survey Finding Inductive Loop Invariants using Large Language Models

Reference 22

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unresolved
no resolver link, observed 2026-08-07T12:49:11.691284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:49:11.691284Z digest=sha256:d60c35dc2d3a0feea3c4d1ba545b4ddf585c6cedd8958a2e98f9ba9f65a1d2fa

Observation 5bd45359-6966-4579-a488-3ca578eee51a · inbound

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? cites this paper.

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? Finding Inductive Loop Invariants using Large Language Models

Reference 20

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metadata mismatch
arxiv_id, observed 2026-05-18T01:35:36.366509Z

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=2026-05-18T01:34:03.866227Z digest=sha256:d22be9073b18c610727eca76c5de1617a0c19e1fa86acf2569aea2352ad161f9

Observation c6197ca3-cec3-431b-bae3-52bc37f37b92 · inbound

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? cites this paper.

Large Lemma Miners: Can LLMs do Induction Proofs for Hardware? Finding Inductive Loop Invariants using Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T00:14:49.344571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:14:49.344571Z digest=sha256:786234a01af8e7260c4cce0088bc95a5649083d566712f246e47148caab2fd30

Observation abf1fe92-39af-4257-afea-54472f3c1604 · inbound

The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee cites this paper.

The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee Finding Inductive Loop Invariants using Large Language Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-03T19:22:04.094265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:22:04.094265Z digest=sha256:0b8770349409d48e13037bf3e40a2143614943116161178765eff3b99ec5eecf

Observation b5fe77ab-26f5-44d2-bfff-81beee2977bd · inbound

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

Evaluating LLM-Generated ACSL Annotations for Formal Verification Finding Inductive Loop Invariants using Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:16:42.360262Z

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=2026-05-15T22:15:21.599523Z digest=sha256:a078d01eb1e1458e61b53958a2141ef1c9878b1382e1739f1809bad4c0fb43c7

Observation bf3ba58c-092d-4e30-93ba-cb5e72912f97 · inbound

Verification Modulo Tested Library Contracts cites this paper.

Verification Modulo Tested Library Contracts Finding Inductive Loop Invariants using Large Language Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-10T08:27:51.708199Z

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=2026-05-10T08:26:04.824743Z digest=sha256:0f3bdc3db86405b048d0ec923e62a7dcfbf4ea9b2a42135595f41c9e67af7c54

Observation f9428955-2176-4072-a67d-87e2369ee4da · inbound

Verification Modulo Tested Library Contracts cites this paper.

Verification Modulo Tested Library Contracts Finding Inductive Loop Invariants using Large Language Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-11T04:50:54.767427Z

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=2026-05-11T01:03:36.128665Z digest=sha256:2c186aa4a136d570f733d89942c51547f07e237eb7af495d324b85c45128ee98

Observation 2765da68-cdfe-4f1b-8ed7-42097997e410 · inbound

Combining Mechanical and Agentic Specification Inference for Move cites this paper.

Combining Mechanical and Agentic Specification Inference for Move Finding Inductive Loop Invariants using Large Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:06:28.026062Z

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=2026-05-12T03:46:00.030182Z digest=sha256:c388fb57dd5e39cbed42eb3398fcc0047febc6fb16257a62a0eada15774d4f80

Observation a9decb9f-2375-4a35-9692-253bff17ef8c · inbound

Combining Mechanical and Agentic Specification Inference for Move cites this paper.

Combining Mechanical and Agentic Specification Inference for Move Finding Inductive Loop Invariants using Large Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:04.531513Z

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=2026-05-14T22:04:25.788782Z digest=sha256:88664a095d937355e20990aa24330feed0743e61d87dbbb3a633a220ae8c7fda

Observation 72361d75-f4e9-4cbe-bbe9-f913f921dbc8 · 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 Finding Inductive Loop Invariants using Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:57:54.258467Z

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=2026-05-20T00:54:59.425270Z digest=sha256:3cc17fb65d1335e8fbcdff39c003a9d5426e77eb8f047ce508a679c66920263f

Observation 04f3ca2a-c30d-4ed5-b70d-7a63f3f60a00 · inbound

Automating Formal Verification with Reinforcement Learning and Recursive Inference cites this paper.

Automating Formal Verification with Reinforcement Learning and Recursive Inference Finding Inductive Loop Invariants using Large Language Models

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:52:49.326627Z

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=2026-06-28T23:52:36.891080Z digest=sha256:35a31b115550c2241b6a69918454e4eb09a772a3339ff4247f5c82886cac9e24

Observation 7c26dafc-df68-491a-bddd-901ae0ebf1c6 · inbound

InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs cites this paper.

InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs Finding Inductive Loop Invariants using Large Language Models

Reference 8

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unresolved
no resolver link, observed 2026-07-11T08:00:14.766840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:00:14.766840Z digest=sha256:114fe5dd416b40dc4c6e7616387840e6c84999657244c9c9d5ea9d3d7441b5bb

Observation 2e693e9e-6af2-4ebc-bb46-34e9a0a5314a · inbound

Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability cites this paper.

Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability Finding Inductive Loop Invariants using Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T03:34:35.116630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:34:35.116630Z digest=sha256:f9ac8d6ef69a7e53324a0b95e8c8018e56fe685bad00829e1c690b30e696846f

Observation 0f36d5b9-4412-46ad-8070-12bc3a69d54c · 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 Finding Inductive Loop Invariants using Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T04:51:20.140358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:51:20.140358Z digest=sha256:976a796f4bdb6066fc045c1541343fd55ed4be7c6cf2ccf6e9fd3deabd9403ef

Observation b63a6b59-2c15-4e3e-b417-3ef1810f7e46 · inbound

VeriSkill: A Self-Evolution Framework for Program Verification Skills cites this paper.

VeriSkill: A Self-Evolution Framework for Program Verification Skills Finding Inductive Loop Invariants using Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T02:26:35.207539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:26:35.207539Z digest=sha256:2d92cd39a67fa594708eb02fc6c523887952146a28420f4d4fda457f737eafa4