Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T20:28:26.767266Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2509.01082.
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 2026-05-18T20:28:26.767266Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T07:07:41.153208Z
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9c7b9983-cc71-4111-81be-a6acd0e0c00d · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Semantic Probabilistic Control of Language Models
Reference 1
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis CRANE: Reasoning with constrained LLM generation
Reference 2
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis A Conceptual Introduction to Hamiltonian Monte Carlo
Reference 3
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Pyro: Deep universal probabilistic programming
Reference 4
Source-reported events for the cited work
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Observation 156bd34c-d97f-4971-8ad5-b4f3d695369f · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated reverse engineering of nonlinear dynamical systems
Reference 5
Source-reported events for the cited work
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Observation 48748d5f-21b2-4a95-8d9a-9cfce81fbb44 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Journal of Statistical Software , author =
Reference 6
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Stan: A probabilistic programming language
Reference 7
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis A general-purpose algorithm for constrained sequential inference
Reference 8
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
Reference 9
Source-reported events for the cited work
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Observation 1d4bb7ae-3dfd-4b11-a778-48c8af5e780e · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Structure discovery in nonparametric regression through compositional kernel search
Reference 10
Source-reported events for the cited work
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Observation dd26a228-e1bf-44b1-8096-3aaee2453435 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Unsupervised learning by program synthesis
Reference 11
Source-reported events for the cited work
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Observation 901b6a65-8c84-4311-a889-4951203761ff · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis UTF -8 plumbing: Byte-level tokenizers unavoidably enable LLM s to generate ill-formed UTF -8
Reference 12
Source-reported events for the cited work
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Observation fa55c6c5-87f5-40b9-932d-e379006355b3 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian data analysis
Reference 13
Source-reported events for the cited work
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Observation 8f799081-9ee8-428a-89f9-f1bc1b46fe36 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian Workflow
Reference 14
Source-reported events for the cited work
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Observation 01d5d4ee-7851-4444-b21d-19caa40a0957 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning the structure of sum-product networks
Reference 15
Source-reported events for the cited work
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Observation 127d8b9c-94c5-4bc4-b9ce-d4ab186b8a10 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Search-based synthesis of probabilistic models for quality-of-service software engineering
Reference 16
Source-reported events for the cited work
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Observation c4efdfa7-3603-4736-aa54-57dab07a9200 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning efficient markov networks
Reference 17
Source-reported events for the cited work
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Observation ac0f751f-8cf2-43d8-b69b-8d8a8847db02 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Gordon, Thomas A
Reference 18
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Self-Steering Language Models
Reference 19
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis The Llama 3 Herd of Models
Reference 20
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Grosse, Ruslan Salakhutdinov, William T
Reference 21
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Model selection in compositional spaces
Reference 22
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 23
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo
Reference 24
Source-reported events for the cited work
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Observation 840fa26c-2694-48c2-900d-40d0fe227912 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Qwen2.5-Coder Technical Report
Reference 25
Source-reported events for the cited work
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Observation c3b0df92-e7d1-453f-b04d-a7cbcce83fee · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automata-based constraints for language model decoding
Reference 26
Source-reported events for the cited work
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Observation 88f01669-f40b-40ee-a76c-048adb9f5c9c · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Validating large language models with RELM
Reference 27
Source-reported events for the cited work
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Observation 983ffecb-00f5-4103-83a6-14a34f2e4b27 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated Statistical Model Discovery with Language Models
Reference 28
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Observation 2c629ae3-afe9-44a8-ab8a-472462803260 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated model discovery for human brain using constitutive artificial neural networks
Reference 29
Source-reported events for the cited work
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Observation 113e9985-9d90-4bf0-91eb-4bd87e5e5631 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
Reference 30
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning Arithmetic Circuits
Reference 31
Source-reported events for the cited work
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Observation c99af2e6-2b8f-4360-9634-88e1c896f8b1 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian population analysis using WinBUGS
Reference 32
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Reference 33
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Unresolved cited work
Reference 34
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Hybrid grammar-based approach to nonlinear dynamical system identification from biological time series
Reference 35
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Observation 709c72b6-e219-4b79-9b26-466bb6714d23 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Mcmc using hamiltonian dynamics
Reference 36
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Observation 07449cb8-4b2c-427c-86ff-bf55ac31af43 · outbound
RefineStat: Efficient Exploration for Probabilistic Program Synthesis Nori, Sherjil Ozair, Sriram K
Reference 37
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Pytorch: An imperative style, high-performance deep learning library
Reference 38
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Reference 39
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Synchromesh: Reliable code generation from pre-trained language models
Reference 40
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Estimation in parallel randomized experiments
Reference 41
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Saad, Marco F
Reference 42
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis V., & Fonnesbeck, C
Reference 43
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Distilling free-form natural laws from experimental data
Reference 44
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis DINGO: Constrained Inference for Diffusion LLMs
Reference 45
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis CodeGemma: Open Code Models Based on Gemma
Reference 46
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Reference 47
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis SynCode: LLM Generation with Grammar Augmentation
Reference 49
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis IterGen : Iterative structured LLM generation
Reference 50
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Examples volume 1, a
Reference 51
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Examples volume 2, b
Reference 52
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis An Introduction to Probabilistic Programming
Reference 53
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Practical bayesian model evaluation using leave-one-out cross-validation and waic
Reference 54
Source-reported events for the cited work
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Rank-normalization, folding, and localization: An improved R for assessing convergence of mcmc (with discussion)
Reference 55
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Efficient Guided Generation for Large Language Models
Reference 56
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis Counterexample-Driven Synthesis for Probabilistic Program Sketches
Reference 57
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Imprompt: A Language Framework for Prompt Programming RefineStat: Efficient Exploration for Probabilistic Program Synthesis
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.