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Paper Citation Record · LEDGER

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2606.20642.

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

pith.paper-citation-record.v1
2606.20642 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T05:52:05.192897Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:34:01.041527Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fed4dcfe-239b-4cda-9a69-b05ac4326804 · outbound

This paper cites Formal- izing concentration inequalities in Rocq: infrastructure and automation.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Formal- izing concentration inequalities in Rocq: infrastructure and automation

Reference 1

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Observation 2c99b705-1e19-4d74-98bf-aae264df2523 · outbound

This paper cites Infotheo: A Rocq formalization of information theory and linear error-correcting codes.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Infotheo: A Rocq formalization of information theory and linear error-correcting codes

Reference 2

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:f4434c7d93877750a3bac91c18741d9de48e17e5f9232c57ef6eb9a5c651ed74

Observation 3287d088-aee5-4b2e-bb00-d4f2f04ad00d · outbound

This paper cites A formally verified proof of the central limit theorem.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory A formally verified proof of the central limit theorem

Reference 3

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:4a9272e1efb60159976dd41ed349436f806e18dc0b9c87c43e28303c8190f8ac

Observation 27d84acd-080d-450c-a766-d6685fad5bd7 · outbound

This paper cites Prover agent: An agent-based framework for formal mathematical proofs.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Prover agent: An agent-based framework for formal mathematical proofs

Reference 4

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arxiv_id, observed 2026-07-02T08:36:48.585052Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:3a78f0de34e3ef6d181b67b3eaa0a9728a52f148fe2090e3ed4c37a77349163b

Observation ec92262b-bf54-48bb-b8da-186ef5e6589d · outbound

This paper cites Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics

Reference 5

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:f77cb31234f8331ddd308d5bbcbd188711f68ae588da32be0f992602b9e62edc

Observation 919f4b5b-08e8-4781-92d3-47db46bd2d62 · outbound

This paper cites Archon: Toward fully autonomous formalization of FirstProof’s research-level problems.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Archon: Toward fully autonomous formalization of FirstProof’s research-level problems

Reference 6

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:fbc17c25baa334bc87a3b35cbaaf1941763a1cefbb63adaa932d9024f5f56a4a

Observation 6bd8db20-618a-45b7-957a-353af5f549d1 · outbound

This paper cites Automatic Textbook Formalization.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Automatic Textbook Formalization

Reference 7

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Observation e0390c13-5017-42b3-85f3-49c359bd95c5 · outbound

This paper cites Progress in Formalizing Sphere Packing in Dimension 8.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Progress in Formalizing Sphere Packing in Dimension 8

Reference 8

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:d0ae04e24eea6c0a926d8e116399e528b970e1853e01de10ef7af852ed2ec32d

Observation 99305d77-f32e-466a-9b19-ba2d1ce70d30 · outbound

This paper cites Formalization of continuous probability distributions.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Formalization of continuous probability distributions

Reference 9

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:6b05ab74562d04d2be14364118f7f74efc4ad08586be50a26c5298ccf66db98c

Observation 6d5002b1-4f0d-469b-931d-4302ab0d145d · outbound

This paper cites Formalization of the standard uniform random variable.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Formalization of the standard uniform random variable

Reference 10

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Observation eb77b307-632a-4351-a13a-d42f0ed3c368 · outbound

This paper cites A formalization of the Lévy-Prokhorov metric in Isabelle/HOL.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory A formalization of the Lévy-Prokhorov metric in Isabelle/HOL

Reference 11

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:8750672f69c8a6ccc73f8bf6de8c041f3e57b638699eb08c710d03e45e890175

Observation a1ccbc04-c100-4015-b773-df3fc9fb5820 · outbound

This paper cites an unresolved cited work.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Unresolved cited work

Reference 12

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:98cd8d8fa90b506dc1232ae8ab1bc5235a844f74933a8727aad88cb94dff9501

Observation fdc7e3da-f582-4731-98ee-fdb07837b709 · outbound

This paper cites Semi-autonomous formalization of the Vlasov-Maxwell-Landau equilibrium.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Semi-autonomous formalization of the Vlasov-Maxwell-Landau equilibrium

Reference 13

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arxiv_id, observed 2026-07-02T08:36:48.593418Z

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Observation ca12015a-b2ca-43ab-bf38-e1001c110bdf · outbound

This paper cites Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning

Reference 14

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local_arxiv, observed 2026-07-02T08:36:48.568140Z

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Observation 40c35ab3-f2d5-421e-a3f6-78daed42efff · outbound

This paper cites LeanAgent: Lifelong learning for formal theorem proving.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory LeanAgent: Lifelong learning for formal theorem proving

Reference 15

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Observation 796a6f28-181f-4d47-b067-e21550dec945 · outbound

This paper cites Asymptotic Methods in Statistical Decision Theory.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Asymptotic Methods in Statistical Decision Theory

Reference 16

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Observation f5a9e666-d3d5-4ee0-bd36-6058ca47ff7b · outbound

This paper cites Asymptotics in statistics: some basic concepts.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Asymptotics in statistics: some basic concepts

Reference 17

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:2100488d665be7c98a7746fbfbd21cb7cdf7f7c1f86cfc8e3d6d7c8414b87eab

Observation 25432045-d5f0-47cd-a56e-51b0c6a3435a · outbound

This paper cites Autoformalize mathematical statements by symbolic equivalence and semantic consistency.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Autoformalize mathematical statements by symbolic equivalence and semantic consistency

Reference 18

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:44e61205c864fe5f774ca5252659e8ba610e8258a8edf5211f1c3a08ef1c0822

Observation e6c09380-279b-4c4f-a34a-f1f2c47b107f · outbound

This paper cites Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Reference 19

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Observation 9bff51ed-826e-42b0-8021-e79185e52ba8 · outbound

This paper cites Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics

Reference 20

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arxiv_id, observed 2026-07-02T08:36:48.578010Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:5a12b7989ddbc93f28303b528921c2d1ead665e710fb31f67a979a68b58862b1

Observation 526b5022-107c-4989-8e1d-e06ac5320b57 · outbound

This paper cites FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean

Reference 21

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local_arxiv, observed 2026-07-02T08:36:48.565341Z

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Observation 77b412d1-9614-4963-88be-7be506442cbe · outbound

This paper cites The Lean 4 theorem prover and programming language.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory The Lean 4 theorem prover and programming language

Reference 22

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Observation 8389be22-905e-4557-bcf1-cecfaddb9c39 · outbound

This paper cites Paulson, and Markus Wenzel.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Paulson, and Markus Wenzel

Reference 23

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:a1bd32c8ee74214942ca32591d63816041a64b486598ee5887f7685a878d67f5

Observation 33a670cc-984b-4d2e-8841-6a5d49fba32d · outbound

This paper cites Apollo: Automated LLM and Lean collaboration for advanced formal reasoning.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Apollo: Automated LLM and Lean collaboration for advanced formal reasoning

Reference 24

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:65ae3d1c63cc3e74f11a55d33748a0cb97faae2371edafb6e72a83693d8f3f46

Observation 4aa0f7c2-b8dc-4b57-9076-241d11bd9acd · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 25

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:79c2a9965abd2d720314d122052de0f2b1e395f0f51cc572d45a447418bf364d

Observation fbf29544-68bc-488a-8dab-7f4d01d733e2 · outbound

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 26

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:b8b1db8d0d3c841d40899716f9107d68f9b5586b7dbe9c9e54248e52b4e732a8

Observation a54189a7-b196-4b0f-8fe3-c4d7778aebda · outbound

This paper cites Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral

Reference 27

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:16c8db1388c4b280ca15cc30d7833dee41380603ca63239b5e1145ae68eea519

Observation bd040f67-a2a7-48dd-8883-d74fe3693d3b · outbound

This paper cites The Lean mathematical library.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory The Lean mathematical library

Reference 28

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:ac3beec24de0e1fc665ff4f83d5edabfe2a3d05cc22b6f9a46639b65b9575b39

Observation 0564b830-b63f-460c-b2fe-b7e13002cd9e · outbound

This paper cites The Rocq prover, version 9.2.0.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory The Rocq prover, version 9.2.0

Reference 29

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doi, observed 2026-06-28T06:01:40.999079Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:f43f2ad66dca4329afaed6a7f9b8695cea23a6209898c3430b42cc067dfb44d1

Observation 6a35a4bf-5152-4de2-8220-22575b8448e5 · outbound

This paper cites van der Vaart.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory van der Vaart

Reference 30

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Observation e6eaa78a-a8b8-434a-8a27-cb310fdbcdc4 · outbound

This paper cites van der Vaart and Jon A.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory van der Vaart and Jon A

Reference 31

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Observation 7aa021d6-36bb-4f16-b8a5-77c768111f67 · outbound

This paper cites Hilbert: Recursively building formal proofs with informal reasoning.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Hilbert: Recursively building formal proofs with informal reasoning

Reference 32

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arxiv_id, observed 2026-07-02T08:36:48.562771Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:d38309f969382145b59055d3ed237153ac4364d28122457a058347819719ee7f

Observation 75d8d365-f533-40f3-80fd-9dc650d4d71f · outbound

This paper cites MA-LoT: Model-collaboration Lean-based long chain-of-thought reasoning enhances formal theorem proving.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory MA-LoT: Model-collaboration Lean-based long chain-of-thought reasoning enhances formal theorem proving

Reference 33

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:761f0208b7b0e40c8e5916ebac69ecf2825dbb217e6a8756e08c2924487e6463

Observation 24da52f0-9114-46f1-96ff-4049e4785733 · outbound

This paper cites LeanDojo: Theorem proving with retrieval-augmented language models.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory LeanDojo: Theorem proving with retrieval-augmented language models

Reference 34

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:aa604044bd40a7b7b7227e03b2621d0b22d414c9cb94509f74c05b25b6a505a5

Observation f1573ac6-f2b6-431a-b89a-11a7e30433d4 · outbound

This paper cites MASA: LLM-driven multi-agent systems for autoformalization.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory MASA: LLM-driven multi-agent systems for autoformalization

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:cfa7e4cb5cf89e2f9e233016cb51ccb3732d0f26d393da6f4b192d77d686f165

Observation 97ff7729-272d-4a79-be22-fff729ba4078 · outbound

This paper cites AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory

Reference 36

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metadata mismatch
local_arxiv, observed 2026-07-02T08:36:48.574786Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:12066040701b19655cec48b4af4d0082c0fc9b472bf7c4c4893095806a7c9e9b

Observation e671cc53-f9c1-457c-97b2-2b1069fc6d6d · outbound

This paper cites In our case a git worktree on the same host, with the Lake package directory symlinked and the build cache copied for fast rebuilds.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory In our case a git worktree on the same host, with the Lake package directory symlinked and the build cache copied for fast rebuilds

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T05:52:05.192897Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:40e0cda8cd5748fd2ec7e1bbd9db2c21738d719cc02a9794ef155b7e7816d160

Observation 1731b53d-a377-4bd3-a217-816d154d98c6 · outbound

This paper cites an unresolved cited work.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Unresolved cited work

Reference 38

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no resolver link, observed 2026-06-28T05:52:05.192897Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:3c49244853338a2e6313202233113e1e1c8e7dca3b738fd72b9054a9d82c01a1

Observation 0c396f4f-25a5-4a20-9742-395b93cf3b21 · outbound

This paper cites bowl-shaped.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory bowl-shaped

Reference 39

Resolution
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no resolver link, observed 2026-06-28T05:52:05.192897Z

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source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:87e31da15f7ad9390b877cee4a79e483229f75765bc3a26ab200d3a311d461e0

Pith citing papers

Observation f3abb441-e4bd-40d2-834b-fd51a33955f4 · inbound

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference cites this paper.

CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T04:34:01.041527Z

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source=pdf_text observed=2026-08-01T04:34:01.041527Z digest=sha256:d1ee6df1f4674f6c529582755b4fabd98369fbccb4a8ae93609c29ff3ea73cbe