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Paper Citation Record · LEDGER

posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.04967.

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

pith.paper-citation-record.v1
2407.04967 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:13:47.787160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T01:57:57.620257Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f4359eff-4643-4906-83c3-1662c79e5a46 · inbound

Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI cites this paper.

Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T17:34:36.152637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:34:36.152637Z digest=sha256:d172f9a3399e28be9d949fb2ee116ab43532ba1f5a1fc696804ce397d4ba3f1f

Observation 541323cb-1080-4e4b-96fe-846d7cb7f9a7 · inbound

MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms cites this paper.

MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:31.270913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:31.270913Z digest=sha256:f91808316dc0ef918941073a5e651397bb50603f0683dc3164dfd45e2e6be0ff

Observation 14361f1f-eb99-4c33-bffa-ad482cca81c9 · inbound

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering cites this paper.

FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:13:47.787160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:13:47.787160Z digest=sha256:338795421b72345a16fe1a328674a46d0780ca1df8d8ab0253b8313409305037

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

RefineStat: Efficient Exploration for Probabilistic Program Synthesis cites this paper.

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:925fc5b3b1882f379c972968f6cee317140f929b219e1230a0a012b547c88ae0

Observation 1b432eb7-8fcf-4d86-af99-df4bcbd64cd2 · inbound

Divide, Interact, Sample: The Two-System Paradigm cites this paper.

Divide, Interact, Sample: The Two-System Paradigm posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:31:44.101309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T18:30:44.405463Z digest=sha256:e0191f4142658e9387be53e85b917bccb21183a4970be283d691edc95e7388d0

Observation d36d4b85-f8e1-469f-967f-de71ebe0ae53 · inbound

AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers cites this paper.

AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:57:57.624715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T01:54:10.267990Z digest=sha256:1a68983f57991d39c5abc87bc7275815faf916ba61da1063e424406f89378092

Observation 520ddb10-9df1-4602-943e-d7cb1675e6a6 · inbound

Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions cites this paper.

Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T00:13:23.873307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:13:23.873307Z digest=sha256:d8873d56bbd0a027bb2f5d732b9c7a89f48071fd5eeb20e1c5ee83503a1c60c3

Observation 132374df-7ea4-405d-9b0f-de163fbfd697 · inbound

Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation cites this paper.

Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T21:17:30.163355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:17:30.163355Z digest=sha256:d1c72abeb3673fc5d618ef38c166a9606081038deb60c67cb442b10d1367b219