Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:18:34.913555Z
Paper Citation Record · LEDGER
Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design
As of 9 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T03:22:10.458677Z
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Observation 54eb478b-517b-4324-9a50-5748a711cf3a · outbound
This paper cites 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.
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 2026-08-04T03:22:10.458677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.