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Paper Citation Record · LEDGER

Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.01992.

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

pith.paper-citation-record.v1
2204.01992 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:47:06.473891Z

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

2
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 9d28cb70-b0c3-45da-8365-4b0bebaf27e2 · inbound

A Fast Periodicity Detection Algorithm Sensitive to Arbitrary Waveforms cites this paper.

A Fast Periodicity Detection Algorithm Sensitive to Arbitrary Waveforms Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T19:47:06.473891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:47:06.473891Z digest=sha256:3648b81b456dfe2eb143ecb48000bce6f60952bc46583155d1b3d33421081044

Observation 46495cc0-63ed-4ae9-861f-706a664916e8 · inbound

Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS cites this paper.

Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:27:08.792243Z

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=2026-05-16T02:24:21.943979Z digest=sha256:922db97b491efc91583724b98002ceae21fbbb223b007ea05b9737689641ed72