Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Designing a space-based galaxy redshift survey to probe dark energy
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1006.3517.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:15:10.778934Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T11:06:53.101078Z
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 82788e09-3364-4729-a605-d2c4a3fa30ab · inbound
Forecasting the E_G measurements from the photometric and spectroscopic surveys of Chinese Space Station Survey Telescope (CSST) cites this paper.
Forecasting the E_G measurements from the photometric and spectroscopic surveys of Chinese Space Station Survey Telescope (CSST) Designing a space-based galaxy redshift survey to probe dark energy
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:10.778934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a3e2f6-8c8a-4f47-b2a8-0fa19e880bae · inbound
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning cites this paper.
Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning Designing a space-based galaxy redshift survey to probe dark energy
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T11:06:53.102517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.