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Paper Citation Record · LEDGER

Benchmarking Simulation-Based Inference

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.04653.

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

pith.paper-citation-record.v1
2101.04653 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:51.875547Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1bb8be1-3b56-4609-9d49-38834ab2f78b · inbound

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform cites this paper.

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform Benchmarking Simulation-Based Inference

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:51.875547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:51.875547Z digest=sha256:53df2373555ed45e710465f336add0995993c01f3f7c418a39473bcc7565d543

Observation f48deac4-63d6-4bb6-b2d5-5f844d58661a · inbound

Learning at the Edge: Tailed-Uniform Sampling for Robust Simulation-Based Inference cites this paper.

Learning at the Edge: Tailed-Uniform Sampling for Robust Simulation-Based Inference Benchmarking Simulation-Based Inference

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T08:33:32.423425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:33:32.423425Z digest=sha256:6f01618f315703ffb100ab6f4f2b414190733a408e910414b22e7e7e5fbce697

Observation b8b37edd-944b-4acc-8650-d2720567a2a4 · inbound

Neural Simulation-based Inference with Hierarchical Priors for Detached Eclipsing Binaries cites this paper.

Neural Simulation-based Inference with Hierarchical Priors for Detached Eclipsing Binaries Benchmarking Simulation-Based Inference

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T01:20:36.771874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T01:19:18.812863Z digest=sha256:48d23941827880dbbb74dd22cc26dae0d589c073e1904a94a964d83be204d6e7

Observation 9e4fa161-b357-4311-b3fa-74a1cc4549f1 · inbound

Pre-localization of Massive Black Hole Binaries in the Millihertz Band cites this paper.

Pre-localization of Massive Black Hole Binaries in the Millihertz Band Benchmarking Simulation-Based Inference

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:51:21.860167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T02:21:19.211958Z digest=sha256:3c698d53c1dee7cd2d644a49b87755e47a98e2564a3741c45b0eb7d5b1cacff8

Observation 78479402-a953-491d-ae67-8ca10e2d96ad · inbound

GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX Benchmarking Simulation-Based Inference

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.832958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:44:35.962392Z digest=sha256:aedb52b38318e6f1c0923bdd7f651804f710a1b9ac992386314b58f3d955ad44