Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T22:58:06.755799Z
Paper Citation Record · LEDGER
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2602.15253.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:00:12.784898Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T15:00:13.017748Z
Reference resolution
5 of 5 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6bb20e09-2fc5-493e-97a8-ff44738d7dd5 · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Deep Learning Scaling is Predictable, Empirically
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:58:06.427823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8735b2ee-13ba-4989-b508-6e491b7321f3 · outbound
This paper cites Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, and Rahul Satija.
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, and Rahul Satija
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:58:06.755799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d360cf63-016b-44e5-8dd9-f3ce964ac01e · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Gaussian Error Linear Units (GELUs)
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:58:06.257357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24f37881-f495-4cc1-b56e-3a2c3fb0cf85 · outbound
This paper cites Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova.
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova
Reference 2023
- Resolution
- verified exact
- doi, observed 2026-08-02T22:58:24.101289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 990f02e1-5b32-41fc-aea7-bcab37c78fea · outbound
This paper cites Scaling Laws for Neural Language Models.
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Scaling Laws for Neural Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:58:06.579901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation ddb8e016-e537-4caf-8741-ad2d0e27dee7 · inbound
Scaling an Autoregressive Transformer for Single-Cell Generation cites this paper.
Scaling an Autoregressive Transformer for Single-Cell Generation Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:00:13.022610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.