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Paper Citation Record · LEDGER

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1810.00001.

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

pith.paper-citation-record.v1
1810.00001 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:48.222036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:31:17.135788Z

Reference resolution

0 of 0 outbound references displayed

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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 c768f2d0-0306-498d-a7d1-a56ff376588c · inbound

The Hourglass Simulation: A Catalog for the Roman High-Latitude Time-Domain Core Community Survey cites this paper.

The Hourglass Simulation: A Catalog for the Roman High-Latitude Time-Domain Core Community Survey The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:48.222036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 622d0aea-fe6d-453c-8ea1-587b7085cfa3 · inbound

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks cites this paper.

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T15:27:30.701756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:27:30.701756Z digest=sha256:e2f2ac429fea3d41bfee610580a88a9558fdeb3e746d88f961a8c7ea35086b1b

Observation 3c4ed500-4675-45e2-ab21-05907b10cf44 · inbound

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure cites this paper.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T15:23:52.924254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:23:52.924254Z digest=sha256:785a418d222017b7a0a322e24a0c92ecfde77246febff299d1cde96d6eea1c1c

Observation c5d53d33-645a-4bce-9967-f648f7d028bd · inbound

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis cites this paper.

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:05:28.337199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T05:12:41.703722Z digest=sha256:4edb4659121a86c9ed5cbef179a07fe5328bb5c598019536d5b9414e5e2d0467

Observation 5e19b41a-88b3-48da-a8ae-78876f45ea5c · inbound

How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification cites this paper.

How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 112

Resolution
unresolved
no resolver link, observed 2026-07-12T01:49:47.560255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:49:47.560255Z digest=sha256:90d52c2d4005caa0a61a6de389053eed7f669599cfa9db59e2a0ab967905a787

Observation 32f1d426-d08f-4584-b127-fc335f1a47e8 · inbound

Low-Rank KKT Updates and a Parallel Flipping Mechanism for Model-Based Derivative-Free Optimization cites this paper.

Low-Rank KKT Updates and a Parallel Flipping Mechanism for Model-Based Derivative-Free Optimization The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T15:56:18.498522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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