Paper Citation Record · LEDGER

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.17540.

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

pith.paper-citation-record.v1
2607.17540 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:44:54.708347Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 485feea3-2684-4cae-9ece-e56c97448ff3 · outbound

This paper cites Claude system card.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Claude system card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:50.878649Z

Source-reported events for the cited work

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Observation 08831830-efe5-4150-86ed-1c586183a23f · outbound

This paper cites Program Synthesis with Large Language Models.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Program Synthesis with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:50.978911Z

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Observation 59d14321-742d-445a-89f0-ee3e4f614d37 · outbound

This paper cites Mining for dark matter substructure: Inferring subhalo population properties from strong lenses with machine learning.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Mining for dark matter substructure: Inferring subhalo population properties from strong lenses with machine learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:51.134518Z

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Observation 924ab9e0-c27c-4769-9701-26c4d534553a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Evaluating Large Language Models Trained on Code

Reference 4

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Observation 123a5000-9e0e-4fe9-8731-f3d4b06b8e96 · outbound

This paper cites Approximating Likelihood Ratios with Calibrated Discriminative Classifiers.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Reference 5

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Observation 5aa412e9-99f0-4060-a781-0d0705bb4681 · outbound

This paper cites The frontier of simulation-based inference.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation The frontier of simulation-based inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:51.482255Z

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Observation 30e03b4b-3012-4381-a5f0-c98d9ae452ad · outbound

This paper cites Truncated proposals for scalable and hassle-free simulation-based inference.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Truncated proposals for scalable and hassle-free simulation-based inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:51.612923Z

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Observation 387db885-57a2-4758-b4f3-88d44d25d4b7 · outbound

This paper cites Simulation-Based Inference: A Practical Guide.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Simulation-Based Inference: A Practical Guide

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:51.779092Z

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Observation fecbde77-e7a8-4617-94b8-f790947605d4 · outbound

This paper cites Large language Bayes.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Large language Bayes

Reference 9

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Observation e4261ec1-2257-40d7-ab5d-77bffd837a8f · outbound

This paper cites Gemini 3 Pro model card.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Gemini 3 Pro model card

Reference 10

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Observation a4be8448-9214-479b-b888-c54eb96e6ebb · outbound

This paper cites Automatic posterior transformation for likelihood-free inference.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Automatic posterior transformation for likelihood-free inference

Reference 11

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Source-reported events for the cited work

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Observation aac26207-e56d-4def-a642-9032d92e0d6f · outbound

This paper cites Program synthesis.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Program synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:52.311664Z

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Observation e3094574-f77c-4bef-8e39-b124fc1d1e6b · outbound

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

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:52.407783Z

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Observation a1ed8fce-97a4-4582-8f1f-3d6bb1b53697 · outbound

This paper cites Harris, K.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Harris, K

Reference 14

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Observation 705019e6-c1a9-460c-a729-d1a489edd66d · outbound

This paper cites Deep residual learning for image recognition.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Deep residual learning for image recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:52.667725Z

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Observation 708f7166-6811-493f-a9c6-b43a9fe2aac0 · outbound

This paper cites Likelihood-free MCMC with amortized approximate ratio estimators.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Likelihood-free MCMC with amortized approximate ratio estimators

Reference 16

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Observation 317e4bc0-66d9-40c8-84a2-377d8bfd45b7 · outbound

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Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Unresolved cited work

Reference 17

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Observation 69da2398-729b-4db3-a4b5-1d6115b77d9d · outbound

This paper cites Evidence networks: simple losses for fast, amortized, neural Bayesian model comparison.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Evidence networks: simple losses for fast, amortized, neural Bayesian model comparison

Reference 18

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Observation 7111e432-57d9-486e-b1f0-924d05c8d138 · outbound

This paper cites Statistical ranking and combinatorial Hodge theory.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Statistical ranking and combinatorial Hodge theory

Reference 19

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Observation 6837d26a-c993-4763-b607-dbe0c0f2f1fd · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Kimi K2: Open Agentic Intelligence

Reference 20

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Observation e0c2f6bd-5b24-4cc6-b359-3696b5953913 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Adam: A Method for Stochastic Optimization

Reference 21

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Observation 3e154c32-9bc9-4dba-be6e-3100c752a49e · outbound

This paper cites Flexible statistical inference for mechanistic models of neural dynamics.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Flexible statistical inference for mechanistic models of neural dynamics

Reference 22

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Observation 02a82f84-9426-4680-812f-41afaf94723b · outbound

This paper cites Truncated marginal neural ratio estimation.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Truncated marginal neural ratio estimation

Reference 23

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Observation df3d1e7b-0ca4-460e-b566-820504ea7e9d · outbound

This paper cites Awesome Neural SBI , January 2023.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Awesome Neural SBI , January 2023

Reference 24

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Observation 51117fb9-5a0c-4238-9c5a-89fcb4a87930 · outbound

This paper cites A universal density profile from hierarchical clustering.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation A universal density profile from hierarchical clustering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:53.466238Z

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Observation f4d150c2-716b-4619-9d30-67346303a28c · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 26

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Source-reported events for the cited work

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Observation 29b59577-1dc6-471f-bc4c-9372b055852f · outbound

This paper cites Fast -free inference of simulation models with Bayesian conditional density estimation.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Fast -free inference of simulation models with Bayesian conditional density estimation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:53.596489Z

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Observation be445627-16b4-4c66-b2f3-2d35c07d27f6 · outbound

This paper cites Masked autoregressive flow for density estimation.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Masked autoregressive flow for density estimation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:53.680379Z

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Observation 2c23608b-d516-41ad-9045-7a55e9d1f5c2 · outbound

This paper cites Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows

Reference 29

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Observation 9b6db80a-ff8b-41b6-b770-07b4a6b3715d · outbound

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

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation PyTorch : An imperative style, high-performance deep learning library

Reference 30

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This paper cites Mathematical discoveries from program search with large language models.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Mathematical discoveries from program search with large language models

Reference 31

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Observation 3cf6545e-4664-4809-bf8c-ac53f714f2d2 · outbound

This paper cites Bayesianly justifiable and relevant frequency calculations for the applied statistician.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Bayesianly justifiable and relevant frequency calculations for the applied statistician

Reference 32

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Observation 8d856ad3-9e37-4c43-ba48-b9adb3505fa2 · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 33

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Observation f25e90ee-94cd-4026-bc3b-3107f930bf4d · outbound

This paper cites OpenAI GPT-5 System Card.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation OpenAI GPT-5 System Card

Reference 34

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Observation 182be58d-1784-493e-8779-010bdc5834d7 · outbound

This paper cites Handbook of approximate Bayesian computation.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Handbook of approximate Bayesian computation

Reference 35

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Observation e4f8d6e0-e7ab-41e7-b6bf-bbdea30c9c1b · outbound

This paper cites Validating Bayesian Inference Algorithms with Simulation-Based Calibration.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Reference 36

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Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation sbi : A toolkit for simulation-based inference

Reference 37

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Observation 15ee0362-8cfb-4b0f-93ae-65d5e1c8e489 · outbound

This paper cites Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

Reference 38

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Observation 370c0fa5-ec95-4dc4-92fd-3c1fe9df5ef0 · outbound

This paper cites Strong gravitational lensing as a probe of dark matter.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Strong gravitational lensing as a probe of dark matter

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:54.424255Z

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Observation b490e57b-8688-49b2-98bc-7fd46e64a536 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 40

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Observation d2d13e97-52df-4abf-8f3a-568cc97e1d40 · outbound

This paper cites A strong gravitational lens is worth a thousand dark matter halos: Inference on small-scale structure using sequential methods.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation A strong gravitational lens is worth a thousand dark matter halos: Inference on small-scale structure using sequential methods

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:54.561392Z

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Observation f82d0933-5aae-4110-b805-e251e9939ba7 · outbound

This paper cites A Probabilistic Framework for LLM-Based Model Discovery.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation A Probabilistic Framework for LLM-Based Model Discovery

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:54.611124Z

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Observation fd2f4525-ae46-4bad-8e09-8b0b62a73eac · outbound

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Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:54.708347Z

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