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Paper Citation Record · LEDGER

Finding Inductive Loop Invariants using Large Language Models

As of 14 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 2026-08-14T06:32:32.682623+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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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

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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=sha256:4e4ac3dc6e953502cdbd8ace50eaa7a27cf4c45f4baec04c6933155c7ace643e

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=sha256:694ac5ffb58ede42c7d646e561d7e2e9105ad768d836ec8b334ad22a7f33927b

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T02:42:59.190220Z digest=sha256:c01082b898e0f12b1439c1007938f98bdeab412fefad18e5acc3a5a732184ecc

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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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=sha256:819c3d3df0a97346197427769ba2fe3bcecd3e433e440231a9d8ebfe07101e7e

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T01:34:03.866227Z digest=sha256:fa33976f2f829f9036a5939fd108535ced38e5dbb6c59bd5196d7a0cabe59f72

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=sha256:4437ea752f2cb988073363f75929879b5bc7a03898cbe54025318a8003f92c7d

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=sha256:062799d3174d49762416deff20340dc7f5a8a533c46259a3c681c7cb8c9082dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T22:15:21.599523Z digest=sha256:61ead78eec9d26c7d018deb5a00e00fc10ea92b4fbd85d5910bc59b6d1305c27

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T08:26:04.824743Z digest=sha256:8ba5b40e60c3bac8d0b32526a80f3a641d36ff103cc2f5ff20196c05a40debdc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T01:03:36.128665Z digest=sha256:1668b437e7f298da89abbaf0a51ffe5851b512778acc6ecc6e4baafa3e57d788

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:46:00.030182Z digest=sha256:71b2e62c416c1896e5b845820d8ab8c22b83ad6e38ed3bf2e390470c016522ac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T22:04:25.788782Z digest=sha256:50eb2cb4ca18f3055857db19669d95b68e85d310c14e5d752e76078b6c202e60

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T00:54:59.425270Z digest=sha256:11ddacce4d131ad577042c4c52be76376a82d546f7c67d1c9cbcf4429b75dcda

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:f00c299c90e5a48fe771cae8dafbc15107b897e3c4beb2e08cdb4651b99e96bf

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

Resolution
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:f1df10e4290171d8149fd04a59afe1c9d1f8c55fa49b90a45c869486757a49de

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=sha256:50b813d5fc35d22bfca7f96a2c56f9727406e03f4c4fb98715a5f696cddbca49

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

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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=sha256:1513007f074481868444d458df158289c23293c6f9dfae7b8faa9e455cebf795

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

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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:d15e2517e4e9c0933df06bac1a094e03c97b5611c920907769cecd18c4e8bb40