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Paper Citation Record · LEDGER

AstroPT: Scaling Large Observation Models for Astronomy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.14930.

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

pith.paper-citation-record.v1
2405.14930 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:39.117022Z

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 1d2cfdc2-4550-40c1-afaf-7846f26f86b4 · inbound

From stellar light to astrophysical insight: automating variable star research with machine learning cites this paper.

From stellar light to astrophysical insight: automating variable star research with machine learning AstroPT: Scaling Large Observation Models for Astronomy

Reference 166

Resolution
unresolved
no resolver link, observed 2026-08-06T20:22:39.117022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:22:39.117022Z digest=sha256:490dd346d332d631da9ec28069a618589d0f8028a3b72538e434e739143a288d

Observation 20074486-6c76-499b-ab81-a897b4c298e8 · 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 AstroPT: Scaling Large Observation Models for Astronomy

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:27:08.653934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T02:24:21.943979Z digest=sha256:104d526c124810d4711bb45005a7ee4842cc99a8d0dcaf4173a9c82522f35d80

Observation 8ea7f956-9143-46be-b177-1fd25b0df56d · inbound

Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI cites this paper.

Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI AstroPT: Scaling Large Observation Models for Astronomy

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T23:02:29.472852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:02:29.472852Z digest=sha256:a526f29a8b2a5f3fe78bc6a728c318ff42802ddeb306d3d6db930d0ad86c2ff6

Observation 1eca0360-409b-4aa6-b6f5-66bfcbfc71c3 · inbound

Toward decision-aware AI for LSST-scale time-domain astronomy cites this paper.

Toward decision-aware AI for LSST-scale time-domain astronomy AstroPT: Scaling Large Observation Models for Astronomy

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.637706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T03:46:08.276270Z digest=sha256:f956a4ab9a6a883797c92cb73022a029d1ea8c5d29c8b4e0d7f55f60fdc35f40

Observation d7b36066-0cc1-4242-9894-908c3637ffa1 · inbound

The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models cites this paper.

The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models AstroPT: Scaling Large Observation Models for Astronomy

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-25T20:38:19.774026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T20:30:45.814418Z digest=sha256:a3803c828692339e885a27d8e8d21bcdc9ad47aa955d50903970aa6b1a0de1f4

Observation a7f65881-fa04-4772-9be1-b9a7e812b54d · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics AstroPT: Scaling Large Observation Models for Astronomy

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-04T04:31:49.064625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:31:49.064625Z digest=sha256:5eef86ba3cf4b971519bf1af24782d365b9f5a0aa0f00dfa3b3fc18f6a7291b9