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Paper Citation Record · LEDGER

First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.02379.

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

pith.paper-citation-record.v1
1811.02379 v4

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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:47.473289Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T09:35:12.982034Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 7af62a84-62df-4888-9c9a-35d236d41564 · inbound

Machine Learning and the future of Supernova Cosmology cites this paper.

Machine Learning and the future of Supernova Cosmology First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T14:51:47.473289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:51:47.473289Z digest=sha256:7c1316b8ce915ef8e3992d88e270afc1a1dc949c02a2d321260a6d6f9ce8d8a3

Observation 2c5896d6-57b6-49cf-a212-5f93c614ef4f · inbound

On the cosmological performance of photometrically classified supernovae with machine learning cites this paper.

On the cosmological performance of photometrically classified supernovae with machine learning First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T13:54:40.980675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:54:40.980675Z digest=sha256:853294c0508f5cd03ccb45938ce633812bc2b2d2df66f791423c3c85e1a48280

Observation aacb32bb-68e1-4701-9a2b-bb062a2f7c89 · inbound

Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing cites this paper.

Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

Reference 201

Resolution
verified exact
local_arxiv, observed 2026-05-19T09:35:12.985080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T09:35:12.156800Z digest=sha256:6e64fb3b00658e1314a145cdb65fda4269403588de13818be1508e973b59e9d7