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Paper Citation Record · LEDGER

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

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.

pith.paper-citation-record.v1
2509.01082 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T20:28:26.767266Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:07:41.153208Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact21
  • verified fuzzy28
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c7b9983-cc71-4111-81be-a6acd0e0c00d · outbound

This paper cites Semantic Probabilistic Control of Language Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Semantic Probabilistic Control of Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.526080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e2bebe7f8c506b3df7920ff1a7ecace4f4cb8df7e8150125580d28dd64794b26

Observation b29a63d0-46d2-47f7-9842-9b66fd20bd79 · outbound

This paper cites CRANE: Reasoning with constrained LLM generation.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis CRANE: Reasoning with constrained LLM generation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:31:50.515984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:6c38f8d42f0107d39d93a29bead85c2a27cf3d2084fe62798ba9fe3b3f09e11f

Observation 397ef175-f5b7-4df8-91f5-2aa4f9f05b97 · outbound

This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.520908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:b333df2d240d082c5fc7c2e2d83613e9d97ad02a8a8b63661e8070cbafedb176

Observation 9892929b-ad99-4945-9115-4dc2b77b5e09 · outbound

This paper cites Pyro: Deep universal probabilistic programming.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Pyro: Deep universal probabilistic programming

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.698845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:fd23dadd70b9ccca88c22d6a58d031ab211329e7042bdc85e16ce22d1cd2a311

Observation 156bd34c-d97f-4971-8ad5-b4f3d695369f · outbound

This paper cites Automated reverse engineering of nonlinear dynamical systems.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated reverse engineering of nonlinear dynamical systems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.696083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:7163b889c619427af0401191db4f85ea8abd9efbacab3638e1909d638df5e67e

Observation 48748d5f-21b2-4a95-8d9a-9cfce81fbb44 · outbound

This paper cites Journal of Statistical Software , author =.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Journal of Statistical Software , author =

Reference 6

Resolution
metadata mismatch
doi, observed 2026-05-18T20:31:50.029102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:11c1a461d54fc01beb44c7f20bbb48be1187d49c8bb68a1abb095b6668f8a666

Observation e00c61e8-6a71-4df3-bd72-9790d47a065e · outbound

This paper cites Stan: A probabilistic programming language.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Stan: A probabilistic programming language

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.693175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:be137213979e5582b330791bd2769af916b7fa49cbcf205f84cf2a95fec10ca1

Observation 5c284476-5631-49af-98e5-6ba3b14c1c38 · outbound

This paper cites A general-purpose algorithm for constrained sequential inference.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis A general-purpose algorithm for constrained sequential inference

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.690296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:03111002a855ab8d13cd6262ac17e1b525cffb44046ae0b4aa32a39c7c79da33

Observation 96fa94b6-4991-4154-b0a4-98e8780a8a3b · outbound

This paper cites XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:31:50.545543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:2ceb98bb9d580b83c36900c5eb5ff71263dcfde9160babeac5c4f07e49068c74

Observation 1d4bb7ae-3dfd-4b11-a778-48c8af5e780e · outbound

This paper cites Structure discovery in nonparametric regression through compositional kernel search.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Structure discovery in nonparametric regression through compositional kernel search

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.687218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:2ad791c1b08b3b3b2705411b67277f16db80f28dc09fd4888fba3f0163c1b7c5

Observation dd26a228-e1bf-44b1-8096-3aaee2453435 · outbound

This paper cites Unsupervised learning by program synthesis.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Unsupervised learning by program synthesis

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.776017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:90969bf781f7fc072dd0440d7981acf2916e0929d723551dcae99326c33fd46c

Observation 901b6a65-8c84-4311-a889-4951203761ff · outbound

This paper cites UTF -8 plumbing: Byte-level tokenizers unavoidably enable LLM s to generate ill-formed UTF -8.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.768223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:ce47cfe911e8c725e727f85063934bf66e1888a9d84c9877d84a91fd1e9454fb

Observation fa55c6c5-87f5-40b9-932d-e379006355b3 · outbound

This paper cites Bayesian data analysis.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian data analysis

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.764952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e0ec8dd41f4f8879af607074932e163adad0ccdf721cfe1e491450927fbdeeaf

Observation 8f799081-9ee8-428a-89f9-f1bc1b46fe36 · outbound

This paper cites Bayesian Workflow.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian Workflow

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.614510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:4b74f6e597919ac26195d34861ff5f59717b48fd2b8af7cf2488901f614c5357

Observation 01d5d4ee-7851-4444-b21d-19caa40a0957 · outbound

This paper cites Learning the structure of sum-product networks.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning the structure of sum-product networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.761685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:aef0dfa7c06c3010970a63faefba35ffdf5e1982f6196e623a7da00ffbb78f8e

Observation 127d8b9c-94c5-4bc4-b9ce-d4ab186b8a10 · outbound

This paper cites Search-based synthesis of probabilistic models for quality-of-service software engineering.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Search-based synthesis of probabilistic models for quality-of-service software engineering

Reference 16

Resolution
verified exact
doi, observed 2026-05-18T20:31:50.052514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:cfd1e8ec8831745cf2b42fbab781719b374f77f47ea31ea52a66329cd79138e3

Observation c4efdfa7-3603-4736-aa54-57dab07a9200 · outbound

This paper cites Learning efficient markov networks.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning efficient markov networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.757686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:64229ec77b06ec18797d266bc592923810ef45e84af09b41a0b0233bb47144f5

Observation ac0f751f-8cf2-43d8-b69b-8d8a8847db02 · outbound

This paper cites Gordon, Thomas A.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Gordon, Thomas A

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.065876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:1bfaad3e4d0d6cb83b37ed8f8017575ebf1ecb406ce581c0f77a9c5ab5aba657

Observation 633f308a-4f46-4e00-92a1-2adc6d12d4f7 · outbound

This paper cites Self-Steering Language Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Self-Steering Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.569974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e129853ad1417dbb3f68ac84d0c4f8e1af324ffca11c6036c68ba55110a9ce6d

Observation e113b1c3-84d3-464b-a460-104af480876f · outbound

This paper cites The Llama 3 Herd of Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis The Llama 3 Herd of Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.607708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:52f4bd2e1b0f6dee5a1c2bfd1069fe387a823044fce8c7360b3ba0ec832d9ec5

Observation 145934a0-85c8-4e0e-b59f-8c33e573c528 · outbound

This paper cites Grosse, Ruslan Salakhutdinov, William T.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Grosse, Ruslan Salakhutdinov, William T

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.753937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:17f00e88dba8ecd57569d8ba3d66b7f25f497d0de9db8cd87427ab4f6f23fc15

Observation f69a7d95-6222-4206-af47-c17d8a4c9b58 · outbound

This paper cites Model selection in compositional spaces.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Model selection in compositional spaces

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.750864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:85053038bce5674035a312b446b577d36d9b155b57bab957ea27e1a53a5baad4

Observation f61efe36-0e6f-4b6e-a01f-a2b2deb0293e · outbound

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

RefineStat: Efficient Exploration for Probabilistic Program Synthesis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.549522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:de7bb567006333a0aaaee8fb2d2d98ba008142fd7f0a446d8cf7244105b27e7c

Observation f544aac1-2ff6-4e28-8c6c-47cc7bf70d08 · outbound

This paper cites The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis The no-u-turn sampler: adaptively setting path lengths in hamiltonian monte carlo

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.746848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:b28aff5c383d0e8188e665bc221f42f69073c036b7b6f79d8808ee339f9f2e87

Observation 840fa26c-2694-48c2-900d-40d0fe227912 · outbound

This paper cites Qwen2.5-Coder Technical Report.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Qwen2.5-Coder Technical Report

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.530698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:42707fa88fbafb60ae55e0ec22f7b02369f8b4dbd60ea4045d414d8275f74e88

Observation c3b0df92-e7d1-453f-b04d-a7cbcce83fee · outbound

This paper cites Automata-based constraints for language model decoding.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automata-based constraints for language model decoding

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.743142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:5053abee1c9d2937fe4323e2c1b73b44b2d7dbae466f93c67646abcae97f9d1d

Observation 88f01669-f40b-40ee-a76c-048adb9f5c9c · outbound

This paper cites Validating large language models with RELM.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Validating large language models with RELM

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.739160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:24edf39a5d3639240fb82fa0d6a947defb6c785178ef63cd302f9cad3942e728

Observation 983ffecb-00f5-4103-83a6-14a34f2e4b27 · outbound

This paper cites Automated Statistical Model Discovery with Language Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated Statistical Model Discovery with Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.564823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e891a07252486e579e86380373b4a7aff10a33c424176ebd4423cabeb51482e3

Observation 2c629ae3-afe9-44a8-ab8a-472462803260 · outbound

This paper cites Automated model discovery for human brain using constitutive artificial neural networks.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Automated model discovery for human brain using constitutive artificial neural networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.735840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:aa62cf21fe5a369c93a60a6b333e3b739ff5f431d2bb87b635a82c925edf8fe4

Observation 113e9985-9d90-4bf0-91eb-4bd87e5e5631 · outbound

This paper cites Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:31:50.554434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:001a27b54f2f77c96b1f40d6012f56a6fc708b4ecaf65cbf88264e8764178267

Observation 13ed3f45-279d-4061-b36a-63cc71341110 · outbound

This paper cites Learning Arithmetic Circuits.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Learning Arithmetic Circuits

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.602744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e4e9857d0874fd867ad9eb9d34989ad145b58cdc05275ca1aa98432f4a73af2d

Observation c99af2e6-2b8f-4360-9634-88e1c896f8b1 · outbound

This paper cites Bayesian population analysis using WinBUGS.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Bayesian population analysis using WinBUGS

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.732253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:8f13d59106705ec3e499abc447db61e1b254d825d7a1dff741ab47dfdd697bff

Observation fb99b199-1bc4-499c-904d-7ef1602f7a78 · outbound

This paper cites posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:31:50.593378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:5b04599485e8f74daa641ed4ac8146bc33f0c9d7bfe99fd283fd77ac3e6e0b3a

Observation 9fc45498-d9aa-4b8d-9593-66123a29f00b · outbound

This paper cites an unresolved cited work.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-18T20:31:51.728549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:9f2535ea374cce48c46d9d862e0ea5cf059e7078bad7efbbd78c11a3adcbc99b

Observation 9b532d52-a9a7-4c99-8f5a-324befd3079d · outbound

This paper cites Hybrid grammar-based approach to nonlinear dynamical system identification from biological time series.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Hybrid grammar-based approach to nonlinear dynamical system identification from biological time series

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.722635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:cd7f39b4bbd6efbda4ce78fcb96619cc658787f44648216e13025784af5e0728

Observation 709c72b6-e219-4b79-9b26-466bb6714d23 · outbound

This paper cites Mcmc using hamiltonian dynamics.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Mcmc using hamiltonian dynamics

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.719852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:3fb904265d8d0536b65d3385f4322bdb2a97d416de2fed6f55ec8badd0df2ce1

Observation 07449cb8-4b2c-427c-86ff-bf55ac31af43 · outbound

This paper cites Nori, Sherjil Ozair, Sriram K.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Nori, Sherjil Ozair, Sriram K

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.042121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:113c9974f1005ea087ea9fa08b19cb9fe650790d9afc0a5f9988a101ce23b676

Observation e50bd979-ddd0-43ee-aa32-79a4c07c4aed · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Pytorch: An imperative style, high-performance deep learning library

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.717008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:dc773d9f4553aa00f69f0d5b1c44c62e7f7ab96530f2b82662283b8b6a2df6cc

Observation f5bce92d-b75e-4011-912b-383fd549581e · outbound

This paper cites Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.583972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:ae85fb506389747a50e44368d7e4d3c3c3759645c5993579ae6d4d9a19477cb1

Observation d006981f-d1ed-41c7-9f2b-709dc8b97795 · outbound

This paper cites Synchromesh: Reliable code generation from pre-trained language models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Synchromesh: Reliable code generation from pre-trained language models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.714226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:086728107f97037aa40c33c2657f2a601e35c79c666e81f2660d9f8d3bdd32c6

Observation 132ab93b-5d5e-467f-ba7c-3d8b4e420d21 · outbound

This paper cites Estimation in parallel randomized experiments.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Estimation in parallel randomized experiments

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.711818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:195eec1ec4d88778f42737affaec4651802331b3a2ddb1d37525f70ceb16956c

Observation 4d48aaa0-a5ec-48f7-b60b-6f23a516706f · outbound

This paper cites Saad, Marco F.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Saad, Marco F

Reference 42

Resolution
verified exact
doi, observed 2026-05-18T20:31:50.059045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:859265493f18147b478234ffd5537f42d6f10c7b707fb77202b375ac93bcb353

Observation f39f3459-fd82-4aa8-a82e-51cb0147df0e · outbound

This paper cites V., & Fonnesbeck, C.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis V., & Fonnesbeck, C

Reference 43

Resolution
verified exact
doi, observed 2026-05-18T20:31:50.022823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:fb2af1042948f59e891bccacb68f7eef97bc737aaa5cca3fbeec2c52374fcda2

Observation 23c5c793-95f8-422d-a75d-801246d411b9 · outbound

This paper cites Distilling free-form natural laws from experimental data.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Distilling free-form natural laws from experimental data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.708881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:dcdc13527885d1c8dd635d1477f54e8194ed32c82c3ebd9d282bd1f943ed5629

Observation d21b7d98-0f9f-41f8-86f4-9049dd07c6d9 · outbound

This paper cites DINGO: Constrained Inference for Diffusion LLMs.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis DINGO: Constrained Inference for Diffusion LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.598078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:78bbdd784370703575ed244044af97a534561fb04237f3dfceffcdb5d35dcd76

Observation 1d1440f6-541b-4109-a59c-1077bd1ef6cb · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis CodeGemma: Open Code Models Based on Gemma

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.559782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:58cfbcde4eec9b24c2d0c272fa0d0494c9be926614cb9b75f062ca438799f4ea

Observation a5f4ca6f-0b0e-423a-9e58-e60fe4d21b11 · outbound

This paper cites IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.579667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:ad386ca406f2d8c49d2d6dc96d1670fc9cb3b9d27711daa63280880bb5f46d71

Observation 69201c0d-0172-405e-9081-733731a0a75e · outbound

This paper cites SynCode: LLM Generation with Grammar Augmentation.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis SynCode: LLM Generation with Grammar Augmentation

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:31:50.575145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:89bc236e1b34f52412941e395a4c8a38d6b28f96410c3e7a105843e68b16df40

Observation 720535b4-4edf-4280-88c1-c229a0973046 · outbound

This paper cites IterGen : Iterative structured LLM generation.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis IterGen : Iterative structured LLM generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.725639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:0ce1819f00b5b465f89549c02c7c377e837585003fd7cc0750898905a580bb3e

Observation d9904c39-99b5-44d6-ade7-00c1c59c035c · outbound

This paper cites Examples volume 1, a.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Examples volume 1, a

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.680416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:44aafafd2ca92588f80fb5b22b2195b1a1418e749d3fea202a3fb000e8dfb954

Observation a319b008-58a5-4964-a735-b3e17376c52b · outbound

This paper cites Examples volume 2, b.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Examples volume 2, b

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.684047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:af78d192261b9a525224d71181fa6f522c4c285416d5fb004d219bdfaf000240

Observation 77eae328-f183-49cc-ad72-799aa382470d · outbound

This paper cites An Introduction to Probabilistic Programming.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis An Introduction to Probabilistic Programming

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.535525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:c2cab202c687c940edfd0461b4d307510c4ba9c1c4bdc8c32f1d9ccbe44ad31a

Observation 135fd82f-800f-4c88-b2f5-8315b512d650 · outbound

This paper cites Practical bayesian model evaluation using leave-one-out cross-validation and waic.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Practical bayesian model evaluation using leave-one-out cross-validation and waic

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.705224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:43bef9b7625d0f0b2e48fb100e3bf96dfa5428c5c82554409b7adc7e6ab0ba67

Observation 90d80ba6-4dc8-4314-8e0f-0c1a5b4857e1 · outbound

This paper cites Rank-normalization, folding, and localization: An improved R for assessing convergence of mcmc (with discussion).

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Rank-normalization, folding, and localization: An improved R for assessing convergence of mcmc (with discussion)

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T20:31:51.701844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:8f359cb626e8219dfc19377cea166d700c9d7d98021e484e5185b33c1c538836

Observation fcab3d21-9d92-4541-a4b8-23d96da255e3 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Efficient Guided Generation for Large Language Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.588497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:e79793849f098bb30153796cb360f720638b51d51449da281cc928c21c10552f

Observation a29ae7e6-a87f-4ea6-b79b-79e11b3f592b · outbound

This paper cites Counterexample-Driven Synthesis for Probabilistic Program Sketches.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Counterexample-Driven Synthesis for Probabilistic Program Sketches

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-18T20:31:50.540592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:193d5d76dfe5f1cab1babbe347fbbd7bdb0f3015504ec4c1b64a5aab20dfec26

Pith citing papers

Observation 92830c2a-450a-49ec-b2ee-d91497c9c78c · inbound

Imprompt: A Language Framework for Prompt Programming cites this paper.

Imprompt: A Language Framework for Prompt Programming RefineStat: Efficient Exploration for Probabilistic Program Synthesis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T07:07:41.153208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:41.153208Z digest=sha256:edacbc717d893aefcd84d3c2714dacfa5811b025602202964bd8fbd8379d874b