Paper Citation Record · LEDGER

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2502.08004.

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

pith.paper-citation-record.v1
2502.08004 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:18:34.913555Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T03:22:10.458677Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy6
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffe09baa-0c2a-4239-b77a-d79c5243ba7a · outbound

This paper cites Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:34.503290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dc6f01a-0e19-4371-b969-cc18e60d4c6a · outbound

This paper cites an unresolved cited work.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:35.260102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55e5c24d-d9ef-4b7b-8ff2-0901f81fb86b · outbound

This paper cites an unresolved cited work.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:35.344150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f9fc75c-b721-4017-a07e-771e63f21865 · outbound

This paper cites Since solving the SDE is time-consuming, we pre-simulate data on a time grid in each round and access the relevant data regions during training.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Since solving the SDE is time-consuming, we pre-simulate data on a time grid in each round and access the relevant data regions during training

Reference 500

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.310225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aef3e3c4-4a83-413e-8800-50e291b65f9f · outbound

This paper cites Greenberg et al.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Greenberg et al

Reference 1994

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.411534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d833264-4184-462f-ba9c-e3cac3bb242c · outbound

This paper cites an unresolved cited work.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Unresolved cited work

Reference 2007

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:35.294846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc4964a6-f0fa-4c5d-95ee-441cc676cf7c · outbound

This paper cites doi: 10.1109/tit.2010.2068870.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design doi: 10.1109/tit.2010.2068870

Reference 2010

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T11:18:35.111810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 50b27d97-f1a7-4aa7-86b7-4f8143f6448f · outbound

This paper cites Overview of Approximate Bayesian Computation.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Overview of Approximate Bayesian Computation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:34.702318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c13a37-3083-4e7b-aec9-8383d9285a4f · outbound

This paper cites An alternative method was 15 Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design developed by Greenberg et al.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design An alternative method was 15 Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design developed by Greenberg et al

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.531518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99c6cc1a-f1cb-4dbb-b468-4989b0a6e531 · outbound

This paper cites an unresolved cited work.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:18:35.688989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 473348c8-bdba-4815-884a-6aecb28fb934 · outbound

This paper cites This approximates the marginal likelihood with a root sample from the prior p(θ0), and samples from an approximate posterior θi ∼ q(θ|y).

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design This approximates the marginal likelihood with a root sample from the prior p(θ0), and samples from an approximate posterior θi ∼ q(θ|y)

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.278240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 54eb478b-517b-4324-9a50-5748a711cf3a · outbound

This paper cites Devlin, M.-W.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Devlin, M.-W

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.746209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 638aedaa-c9e6-4f3a-8c63-ce9c75c5ab6c · outbound

This paper cites Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T11:18:34.508261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a810d0e-e403-4418-ab4c-8f79ff5185d3 · outbound

This paper cites Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:18:35.234979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b44ca3c-bd98-4e0f-8773-3723cd8d4ffa · outbound

This paper cites Their results hint at using a bound on the MI to optimize a likleihood-to-evidence ratio, and saw increasing EIG (lower bound of MI) with increasing number of contrastive samples.

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design Their results hint at using a bound on the MI to optimize a likleihood-to-evidence ratio, and saw increasing EIG (lower bound of MI) with increasing number of contrastive samples

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:18:35.325992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 219fff89-ea4f-4640-94a6-a4b36a5ec271 · inbound

Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design cites this paper.

Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T01:27:38.622920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653d7bdf-4e39-4028-90fe-348af152ffcf · inbound

Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design cites this paper.

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T03:22:10.458677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.