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Paper Citation Record · LEDGER

Likelihood-Free Cosmological Inference with Type Ia Supernovae: Approximate Bayesian Computation for a Complete Treatment of Uncertainty

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1206.2563.

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

pith.paper-citation-record.v1
1206.2563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:31:38.606989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:10:53.982273Z

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 6c38f95a-7207-4e6a-a65a-dce587c6f919 · inbound

Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum cites this paper.

Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum Likelihood-Free Cosmological Inference with Type Ia Supernovae: Approximate Bayesian Computation for a Complete Treatment of Uncertainty

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-11T21:31:38.606989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:31:38.606989Z digest=sha256:89dea94e1cb1a0bc2fedc0834bc04134a96353bec026ccf2d446454994900836

Observation 94a84b17-4fa5-4807-a08c-0927e775a66a · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts Likelihood-Free Cosmological Inference with Type Ia Supernovae: Approximate Bayesian Computation for a Complete Treatment of Uncertainty

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:58:11.954420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T00:51:26.783868Z digest=sha256:d0ed9723cac1c197917e4679c6a6aa9e82c301aebd88714e4f9e0c0fb1037fbb