Pith. sign in

Paper Citation Record · LEDGER

Bayesian Simulation-based Inference for Cosmological Initial Conditions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.19910.

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

pith.paper-citation-record.v1
2310.19910 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:18:10.894300Z

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

5
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 0bb0313b-36e8-466d-9a69-46df89e9908d · inbound

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI cites this paper.

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-12T21:18:10.894300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:18:10.894300Z digest=sha256:248e8bd41286b1f7acb3e898632bd63951624a627b36521ab6af407c346a27d3

Observation 29f9d132-1ec8-46a4-8ee4-bed86f733faf · inbound

Simulation-based inference on warm dark matter from HERA forecasts cites this paper.

Simulation-based inference on warm dark matter from HERA forecasts Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T16:14:56.652796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:14:56.652796Z digest=sha256:51ebdbda43ab9da71bc5e1729addcf244da70c8b5554201680d20d14de4c9a29

Observation 123e4a02-d103-4193-97f1-785cd0edc91d · inbound

DISCO-DJ II: a differentiable particle-mesh code for cosmology cites this paper.

DISCO-DJ II: a differentiable particle-mesh code for cosmology Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T11:25:28.539425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:25:28.539425Z digest=sha256:dde576916f579cf812bc9f3a052d023f5f00ba5ca8ad496ea5e79f2371684b31

Observation 00b8d8ac-2e50-4c8e-8cf8-d67386799459 · inbound

TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information cites this paper.

TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:50:53.145144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-11T02:50:05.591347Z digest=sha256:c3a2104916e54aeb5b5bf1109617eb247ff12968ab02701d7d699fe342aa86fa

Observation 0d42200b-2229-47d4-bb12-42beb9ead5b8 · inbound

Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps cites this paper.

Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:45:51.785250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T20:14:12.879470Z digest=sha256:4a466cb81b3c2d9cab54f728110c6e9447cfb600924edb7e7e1e55d8dc7cd9a2

Observation a7817a32-2946-4b4d-82fe-c378c30aeb3f · inbound

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions cites this paper.

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions Bayesian Simulation-based Inference for Cosmological Initial Conditions

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:27:34.814305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:8cfa5adce4a1bed79327af0d194f7c82ab29410c87ede4c9a676f9e824d6e5fd