Paper Citation Record · LEDGER

FormaRL: Enhancing Autoformalization with no Labeled Data

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2508.18914.

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

pith.paper-citation-record.v1
2508.18914 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:23.289082Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:31:37.801454Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:05:31.606007Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy5
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c9a5e06-b68f-4f0a-aee2-997be33faaba · outbound

This paper cites write newline.

FormaRL: Enhancing Autoformalization with no Labeled Data write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.097128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2a384d-4646-4433-9de9-f0dc1a5f339e · outbound

This paper cites @esa (Ref.

FormaRL: Enhancing Autoformalization with no Labeled Data @esa (Ref

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.102063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f269ac43-dfe8-4b9a-9259-1cd30b25c04d · outbound

This paper cites an unresolved cited work.

FormaRL: Enhancing Autoformalization with no Labeled Data Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.106634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b72506bc-161b-47a6-9349-98fcf2f99960 · outbound

This paper cites an unresolved cited work.

FormaRL: Enhancing Autoformalization with no Labeled Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:11:23.861824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccbf8285-d16a-4d7d-86bc-2d72467a8620 · outbound

This paper cites ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics.

FormaRL: Enhancing Autoformalization with no Labeled Data ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.114520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bd4f5a-a330-4566-9222-7716c4687490 · outbound

This paper cites Deepmind hits milestone in solving maths problems—AI’s next grand challenge.

FormaRL: Enhancing Autoformalization with no Labeled Data Deepmind hits milestone in solving maths problems—AI’s next grand challenge

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:23.852059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b032b84-ea0a-47f0-9b18-4d89a6f03b0d · outbound

This paper cites Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs.

FormaRL: Enhancing Autoformalization with no Labeled Data Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T16:11:23.785223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb23e3f2-df29-408f-95a1-a58bb5c32015 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FormaRL: Enhancing Autoformalization with no Labeled Data DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.127841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c475bef1-ca8c-4381-996e-42e391cb50d4 · outbound

This paper cites DeepSeek-V3 Technical Report.

FormaRL: Enhancing Autoformalization with no Labeled Data DeepSeek-V3 Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.132275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d6afd5-29cf-4f76-a7ea-8d5b00ed40ff · outbound

This paper cites Qwen2.5-Coder Technical Report.

FormaRL: Enhancing Autoformalization with no Labeled Data Qwen2.5-Coder Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.137179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90a7a43e-baaa-4df7-b2b2-1931dd034a66 · outbound

This paper cites Multilingual Mathematical Autoformalization.

FormaRL: Enhancing Autoformalization with no Labeled Data Multilingual Mathematical Autoformalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.142195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4f71fc-f388-4227-9c42-bc58764a76a3 · outbound

This paper cites Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs.

FormaRL: Enhancing Autoformalization with no Labeled Data Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.146879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b49024a-7409-4cfe-968d-bb5055889cf4 · outbound

This paper cites LIMR: Less is More for RL Scaling.

FormaRL: Enhancing Autoformalization with no Labeled Data LIMR: Less is More for RL Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.150929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff858c86-95a5-4b72-9c2a-588cbfa8cea1 · outbound

This paper cites HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving.

FormaRL: Enhancing Autoformalization with no Labeled Data HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.155247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eef2327-a35a-4aca-9d21-b3f1438a3d87 · outbound

This paper cites A Survey on Deep Learning for Theorem Proving.

FormaRL: Enhancing Autoformalization with no Labeled Data A Survey on Deep Learning for Theorem Proving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.159080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 256f5555-7d0e-46c3-9f7a-1ab23821b4ed · outbound

This paper cites Let's Verify Step by Step.

FormaRL: Enhancing Autoformalization with no Labeled Data Let's Verify Step by Step

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.163914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e24d30f-1829-4291-b97d-14e40d41ce9f · outbound

This paper cites Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving.

FormaRL: Enhancing Autoformalization with no Labeled Data Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.168166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05c82d8-511e-4593-9806-c29a29e24984 · outbound

This paper cites Rethinking and improving autoformalization: towards a faithful metric and a dependency retrieval-based approach.

FormaRL: Enhancing Autoformalization with no Labeled Data Rethinking and improving autoformalization: towards a faithful metric and a dependency retrieval-based approach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:23.842971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 423725fe-c6b9-420e-8742-329ebdf318c6 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

FormaRL: Enhancing Autoformalization with no Labeled Data SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.181357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81d8d9e-4b9a-4706-a5e1-fa98f92cde8f · outbound

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

FormaRL: Enhancing Autoformalization with no Labeled Data The lean 4 theorem prover and programming language

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:23.834014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a35fecee-d9b9-4086-80a4-36c8451ff5c6 · outbound

This paper cites Autoformalizing Euclidean Geometry.

FormaRL: Enhancing Autoformalization with no Labeled Data Autoformalizing Euclidean Geometry

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.190126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc7d3d2-5f7b-4dd7-b325-a428b80faf20 · outbound

This paper cites GPT-4o System Card.

FormaRL: Enhancing Autoformalization with no Labeled Data GPT-4o System Card

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.195566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e138f994-3b02-4258-896b-b2571952ceeb · outbound

This paper cites OpenAI o1 System Card.

FormaRL: Enhancing Autoformalization with no Labeled Data OpenAI o1 System Card

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.200047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b08fa05-172e-47be-9aec-561d8d618f5b · outbound

This paper cites Training language models to follow instructions with human feedback.

FormaRL: Enhancing Autoformalization with no Labeled Data Training language models to follow instructions with human feedback

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.204611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75b48d4-9f55-4e60-a038-045a328c4e75 · outbound

This paper cites A New Approach Towards Autoformalization.

FormaRL: Enhancing Autoformalization with no Labeled Data A New Approach Towards Autoformalization

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:11:23.647118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c24737b9-367e-4472-b074-c6fd5ae7f6d3 · outbound

This paper cites Improving autoformalization using type checking, 2024.

FormaRL: Enhancing Autoformalization with no Labeled Data Improving autoformalization using type checking, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.213982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1507ff20-393a-40d0-a0ad-63167d6e6f9b · outbound

This paper cites Qwen2.5 Technical Report.

FormaRL: Enhancing Autoformalization with no Labeled Data Qwen2.5 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.218244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad1bddd-0f55-4e18-98d1-2550d91bafbc · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

FormaRL: Enhancing Autoformalization with no Labeled Data DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.222319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08fdd5d5-0e78-42df-8506-52558346f085 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

FormaRL: Enhancing Autoformalization with no Labeled Data Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.227793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b0ffd0-ff00-4145-afa8-c9b50f287377 · outbound

This paper cites Paulson Tobias Nipkow, Markus Wenzel.

FormaRL: Enhancing Autoformalization with no Labeled Data Paulson Tobias Nipkow, Markus Wenzel

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:23.824803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11e6884d-4aaf-48f7-9ed1-06b09837e0c0 · outbound

This paper cites Trl: Transformer reinforcement learning.

FormaRL: Enhancing Autoformalization with no Labeled Data Trl: Transformer reinforcement learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.235631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a1edd2-e2a6-4bf8-88c7-75d62821539c · outbound

This paper cites NaturalProofs: Mathematical Theorem Proving in Natural Language.

FormaRL: Enhancing Autoformalization with no Labeled Data NaturalProofs: Mathematical Theorem Proving in Natural Language

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.239508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4124be23-6479-4402-8f03-a57667e26312 · outbound

This paper cites Autoformalization with Large Language Models.

FormaRL: Enhancing Autoformalization with no Labeled Data Autoformalization with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.244019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72823dd0-1932-4c16-8666-bdf96e370de9 · outbound

This paper cites InternLM 2.5- StepProver : Advancing automated theorem proving via expert iteration on large-scale LEAN problems, 2024.

FormaRL: Enhancing Autoformalization with no Labeled Data InternLM 2.5- StepProver : Advancing automated theorem proving via expert iteration on large-scale LEAN problems, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.248720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bda71c3-1de0-44b5-966d-cdb31ff6760c · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

FormaRL: Enhancing Autoformalization with no Labeled Data DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.252729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2641853-d88e-4123-92cc-f015eff25bff · outbound

This paper cites DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search.

FormaRL: Enhancing Autoformalization with no Labeled Data DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.256524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 856d68b1-ee68-45d4-83cd-61fb19b36890 · outbound

This paper cites BFS -prover: Scalable best-first tree search for LLM -based automatic theorem proving, 2025.

FormaRL: Enhancing Autoformalization with no Labeled Data BFS -prover: Scalable best-first tree search for LLM -based automatic theorem proving, 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.260022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbdfa00b-e9e8-4f32-809c-773adb360c7d · outbound

This paper cites Qwen2 Technical Report.

FormaRL: Enhancing Autoformalization with no Labeled Data Qwen2 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.262918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d208237d-31a9-44e0-a98f-3467aca6df50 · outbound

This paper cites Formal Mathematical Reasoning: A New Frontier in AI.

FormaRL: Enhancing Autoformalization with no Labeled Data Formal Mathematical Reasoning: A New Frontier in AI

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.266209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505c370d-42dd-499c-bfe1-47886082f2f8 · outbound

This paper cites Lean Workbook: A large-scale Lean problem set formalized from natural language math problems.

FormaRL: Enhancing Autoformalization with no Labeled Data Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.269420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b99e079f-30c5-422b-b5c4-0c8aff2b2635 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

FormaRL: Enhancing Autoformalization with no Labeled Data DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.273126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c670aed7-3ef8-4ff4-ad8f-fb62af544d80 · outbound

This paper cites Interactive theorem proving and program development.

FormaRL: Enhancing Autoformalization with no Labeled Data Interactive theorem proving and program development

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:11:23.810788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 395c8afb-ae67-4504-aa3e-5bd4f93197b5 · outbound

This paper cites 7b model and 8k examples: Emerging reasoning with reinforcement learning is both effective and efficient.

FormaRL: Enhancing Autoformalization with no Labeled Data 7b model and 8k examples: Emerging reasoning with reinforcement learning is both effective and efficient

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.279356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bb4ad3-cd92-4155-8927-362760e4f1a6 · outbound

This paper cites Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving.

FormaRL: Enhancing Autoformalization with no Labeled Data Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.282888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd7e14b-2ba3-49f8-adb3-739ba6e80cf4 · outbound

This paper cites MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics.

FormaRL: Enhancing Autoformalization with no Labeled Data MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.286063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f961b5-5d53-4bf0-bea4-d8de5a4f5883 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

FormaRL: Enhancing Autoformalization with no Labeled Data Fine-Tuning Language Models from Human Preferences

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:23.289082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 223c5477-2a2c-464e-a8d2-371114ac0efb · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models FormaRL: Enhancing Autoformalization with no Labeled Data

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:05:31.608352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71ca18f5-fcb2-4325-ac55-0a6ac68debf8 · inbound

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph cites this paper.

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph FormaRL: Enhancing Autoformalization with no Labeled Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T11:31:37.801454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8611d10-463f-49ed-aff8-11a4eeb128d1 · inbound

SFT-GRPO Data Overlap as a Post-Training Hyperparameter for Autoformalization cites this paper.

SFT-GRPO Data Overlap as a Post-Training Hyperparameter for Autoformalization FormaRL: Enhancing Autoformalization with no Labeled Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:25:26.431285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.