Paper Citation Record · LEDGER

Fast cosmological parameter estimation using neural networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:astro-ph/0608174.

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

pith.paper-citation-record.v1
astro-ph/0608174 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:06.045481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:46:13.785712Z

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 7a1518aa-c9d8-4199-940e-24fbc11005ed · inbound

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe cites this paper.

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe Fast cosmological parameter estimation using neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:06.045481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6afb509-692d-481c-9af3-f928788a3df0 · inbound

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks cites this paper.

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks Fast cosmological parameter estimation using neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:17:37.280999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d4b6503-cc64-432f-9966-0b8a089644c1 · inbound

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective Fast cosmological parameter estimation using neural networks

Reference 265

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:22:19.805990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.