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Paper Citation Record · LEDGER

Finding Inductive Loop Invariants using Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:14:49.344571Z

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

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T02:42:59.190220Z digest=sha256:ece6aabb94b2003dffe22852e753ce84b6749979d4a71898284714663e80954a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T01:34:03.866227Z digest=sha256:1372db28f996d8fa6658267451d27fdda4432f4072890e7d698fc5a36c40e8a6

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:afbaa6a468d01760e369b4a8bdc23b4c6dc53a21e90e067040321c93b347e8a1

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:fa3f0c89cac0c84a43e4ee612a14e522323fb50a3488823823547133f6cb1486

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T22:15:21.599523Z digest=sha256:a1beaaec3e32b0ddd736b3eb2ee3b60a3525081cca3eb44f1004368b29b7929d

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T08:26:04.824743Z digest=sha256:7c6ea16f818d7b3193d8addd1b39db7a41e5527b07a4d668cb5225b7b36263f1

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

Resolution
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T01:03:36.128665Z digest=sha256:f7509ebe56beb340c498fb6678b49d42b74b56e18ea7d7352e0c5a756b4c2729

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T03:46:00.030182Z digest=sha256:e1526a7eb7f584751eb4f12a27bc6fbdf1d3f28836670acfed39121a81eae50f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-14T22:04:25.788782Z digest=sha256:422196e61800023cc7095735fcb33e27baf20800bc5ff876d68e111d0fdeca26

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T00:54:59.425270Z digest=sha256:87fcc77f04c5b309994a8cec85196d03b928f5971c051f9b7c881884b8393bfc

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:04215c1e89557dedf77c7735367442dc67b00689bf4e9d3cda67b579fcda84cc

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:c009b01c11132f4e7e5f0a782ac10464f7343cdaa8b698e341a59ad4373a1fe7

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:c3d5030abccc03eff32b579c87b0c37211d7773b38914a57f42c4831aabb2312

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=sha256:172f730d063d9c6b46c8090df616ca6000b8da00c7290400eaec3dde8378820d

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=sha256:75293e3690ee2c70b314609c7e70f9e28d8444e3c7ca2e5231c826d81e8da291