Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:43:38.526645Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2602.10014.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:43:38.526645Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 51242c2b-32fb-4315-9ba8-4a9e5f9a5f36 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Intrinsic dimensionality explains the effectiveness of language model fine-tuning
Reference 1
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Observation 1246c825-e4ae-4c10-a5c6-f8e7e9dd842c · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
Reference 2
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Observation baaa6c08-d736-4e3d-ba72-5e8491f35f24 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Training Verifiers to Solve Math Word Problems
Reference 3
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Observation a70328de-abc2-4832-8a73-a421b67040fa · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Understanding self-distillation in the presence of label noise
Reference 4
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Observation 68b96946-0003-4499-b0d7-c3341c91fb8c · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Reference 5
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Observation 2cbb0070-04db-4858-aea1-80b079085422 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
Reference 6
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Observation 871c7695-7369-4a87-a32b-6d309d392038 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Towards Theoretical Understandings of Self-Consuming Generative Models
Reference 7
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Observation fea1b8b6-cc38-4cb4-8a42-377033b77326 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-verification provably prevents model collapse in recursive synthetic training
Reference 8
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Observation ee23ba26-3d4d-45b6-9289-8f71247c0d0f · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
Reference 9
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Observation 902ae028-2bfa-42e2-88aa-105ebf427232 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Cambridge university press, 2000
Reference 10
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Observation 7e847d73-d621-438f-83fa-1154dc2ffddb · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Reference 11
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Observation bb326200-a19a-47d3-b716-0d536753fb65 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-Correcting Self-Consuming Loops for Generative Model Training
Reference 12
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Observation 69fa0049-0ba1-41dc-8cca-90e6212130fd · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula The Llama 3 Herd of Models
Reference 13
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Observation 2a65ce3f-459f-4877-9f61-32c6531bc8d9 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
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Observation ca9bd427-7575-464f-abd9-784748578992 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 15
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Observation d9e3b4c8-2b19-4b7e-8c88-eaf2aad9f39a · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-Improvement in Language Models: The Sharpening Mechanism
Reference 16
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Observation a92164a4-cfe1-4d16-8170-e066dbd66c7f · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Adastar: Adaptive data sampling for training self-taught reasoners.arXiv preprint arXiv:2505.16322, 2025
Reference 17
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Observation 999b486e-0963-44e2-9b85-109a71a815a3 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Reference 18
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Observation 17243480-9c70-49c8-a8c3-274f04788f60 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Reference 19
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Observation b9d2e9c4-25a8-4196-a655-764c20f43697 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
Reference 20
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Observation 5ab37e65-a95b-4d2c-b9c9-a76742e97a27 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Self-distillation amplifies regular- ization in hilbert space.Advances in Neural Information Processing Systems, 33:3351–3361, 2020
Reference 21
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Observation 0af07b42-b1e5-46ec-b42b-f12b08630805 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Coherence mechanisms for provable self- improvement.arXiv preprint arXiv:2511.08440, 2025
Reference 22
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Observation 162066db-64c5-4a1a-a34d-48d9c10abfab · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Understanding the gains from repeated self-distillation.Advances in Neural Information Processing Systems, 37:7759–7796, 2024
Reference 23
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Observation e8e5813b-eb28-4e05-b35e-49d955d1df80 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
Reference 24
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Observation d3c6978b-91e7-42ca-b492-24a4c81d0505 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Analysing Mathematical Reasoning Abilities of Neural Models
Reference 25
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Observation 33e0d071-2412-44e2-9a11-b8b011ebea37 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula A mathematical theory of communication.The Bell system technical journal, 27(3):379–423, 1948
Reference 26
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Observation 5f340510-3d13-47fd-b388-cdd51ecdeb84 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Reference 27
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Observation 88fa9f2e-85a3-466f-8bbc-a2d61ed641f9 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 28
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Observation 02bd9ddc-50c3-4902-8b80-ff068cdc6fa0 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Theoretical modeling of llm self- improvement training dynamics through solver-verifier gap.arXiv preprint arXiv:2507.00075, 2025
Reference 29
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Observation a8587e93-a18b-4602-b665-802c3ad1ecdb · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Canlanguagemodelssolvegraphproblemsinnaturallanguage?Advances in Neural Information Processing Systems, 36:30840–30861, 2023
Reference 30
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Observation 676c08f5-ff8e-46d0-b47b-4e2cea3bb481 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Huxley-gödel machine: Human-level coding agent development by an approximation of the optimal self-improving machine, 2025
Reference 31
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Observation e00b3aec-fe22-4c45-bc02-c247ea87cf25 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Propose, solve, verify: Self-play through formal verification.arXiv preprint arXiv:2512.18160, 2025
Reference 32
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Observation 0dc1b3f4-a652-4e3b-b1d7-be5c7def22b5 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Probability inequalities for likelihood ratios and convergence rates of sieve mles.The Annals of Statistics, pages 339–362, 1995
Reference 33
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Observation 318dd6b9-3087-411e-8bd5-08c546a795ea · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Reference 34
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Observation f95f7968-3759-442c-9096-7548cdb8b70c · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Reference 35
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Observation 97c7ebbf-986f-4ad1-9881-97eef9c48816 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Qwen2.5 Technical Report
Reference 36
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Observation b9071e0e-7881-4e59-8c92-4803d3695144 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Qwen3 Technical Report
Reference 37
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Observation 5f732155-4010-4193-b5ff-ca448e3493bd · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Spendwisely: Maximizing post-training gains in iterative synthetic data bootstrapping.arXiv preprint arXiv:2501.18962, 2025
Reference 38
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Observation c27f7bb9-1692-4506-9202-d39226132c92 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Reference 39
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Observation 5d617e96-254c-45fe-97fc-31896e12c58e · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Star: Bootstrapping reasoning with reasoning.Advances in Neural Information Processing Systems, 35:15476–15488, 2022
Reference 40
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Observation 95a82f25-5c48-47a9-b428-55d1ef7f0dd4 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Reference 41
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Observation 4981f9a3-4db2-4525-89a3-bdfec3acf38e · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Leanabell-Prover: Posttraining Scaling in Formal Reasoning
Reference 42
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Observation 743d4d8b-b4bd-4634-b99b-3ef94e26d084 · outbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula question distribution
Reference 43
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No inbound Pith citation observations are available.