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Paper Citation Record · LEDGER

Quasar Accretion Disk Sizes From Continuum Reverberation Mapping From the Dark Energy Survey

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.11588.

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

pith.paper-citation-record.v1
1711.11588 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:02:20.318442Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-26T03:58:58.294710Z

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 746ff617-b151-49cb-baa9-72e404be8503 · inbound

HALO II: Constraining Hubble constant $H_{0}$ through continuum delay fitting of Fairall 9 cites this paper.

HALO II: Constraining Hubble constant $H_{0}$ through continuum delay fitting of Fairall 9 Quasar Accretion Disk Sizes From Continuum Reverberation Mapping From the Dark Energy Survey

Reference 300

Resolution
verified exact
local_arxiv, observed 2026-06-26T03:58:58.296322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:d70c94c03b55cd1900a00307e0242f76a2021a74cf61f89da44c947160807e6f

Observation 460e8fa2-8ae1-4acf-a2e4-65a1ba4267ba · inbound

VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features cites this paper.

VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features Quasar Accretion Disk Sizes From Continuum Reverberation Mapping From the Dark Energy Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T21:02:20.318442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:02:20.318442Z digest=sha256:abd8f6dfa0c2715086bcbd1da8a509130c7a6388a7945fddf331961c3ede1d71