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Paper Citation Record · LEDGER

Bayesian Simulation-based Inference for Cosmological Initial Conditions

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:14:56.652796Z

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 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=sha256:6913a3b1dc3ef2c11f65bfe73a5f7595756cba16f51910f2a3adb2aad6f397d3

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=sha256:084aa210d4b9aca2d0fc8d58b4ec779101ea126ed9bd7cc457424fbd2cf6591d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T02:50:05.591347Z digest=sha256:8b21575de5ac0cdeadf613375cb47e9533c0cdc68c70f2b367e10a27c871fc13

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T20:14:12.879470Z digest=sha256:c8e86947673e1c25f3a1d00c3346e6e282376c099af4b78428fd97cdc0b3f452

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:3b4e24081157edff8d61758936d1e617c19d22b054c7a19a735295fd70b9fa1e