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Paper Citation Record · LEDGER

Statistical Machine Learning for Astronomy -- A Textbook

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2506.12230.

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

pith.paper-citation-record.v1
2506.12230 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:00:28.813548Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:32:04.290349Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy2
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External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 6f5738ca-ff78-4558-86b4-8ca718741448 · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Statistical Machine Learning for Astronomy -- A Textbook Improving neural networks by preventing co-adaptation of feature detectors

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 55ef14a2-5aa6-4538-a3da-a5115162bb4c · outbound

This paper cites Deep Double Descent: Where Bigger Models and More Data Hurt.

Statistical Machine Learning for Astronomy -- A Textbook Deep Double Descent: Where Bigger Models and More Data Hurt

Reference 14

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Observation 6938a6a5-7a4c-4e89-9321-e17cfae5d310 · outbound

This paper cites Variational Inference with Normalizing Flows.

Statistical Machine Learning for Astronomy -- A Textbook Variational Inference with Normalizing Flows

Reference 17

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Observation efa515e9-5996-4d1c-8be4-426605b1a8bb · outbound

This paper cites Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition.

Statistical Machine Learning for Astronomy -- A Textbook Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition

Reference 1878

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Observation f14c815a-3796-4735-ad17-6f7b3fba2a5d · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Statistical Machine Learning for Astronomy -- A Textbook On the Opportunities and Risks of Foundation Models

Reference 1934

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Observation 600e9367-8461-424a-8fa0-d905e8a6db28 · outbound

This paper cites Gaussian Process Behaviour in Wide Deep Neural Networks.

Statistical Machine Learning for Astronomy -- A Textbook Gaussian Process Behaviour in Wide Deep Neural Networks

Reference 1963

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Observation d54c0c70-97f5-47f7-8805-ea38283b2ec3 · outbound

This paper cites Zellner and P.

Statistical Machine Learning for Astronomy -- A Textbook Zellner and P

Reference 1971

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6e32e631-8024-4f4c-a355-7bdd719677a9 · outbound

This paper cites Neural Spline Flows.

Statistical Machine Learning for Astronomy -- A Textbook Neural Spline Flows

Reference 1973

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Observation 332c2ab5-43e5-4e81-8eb1-0443a0f6b5fe · outbound

This paper cites Auto-Encoding Variational Bayes.

Statistical Machine Learning for Astronomy -- A Textbook Auto-Encoding Variational Bayes

Reference 1977

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no resolver link, observed 2026-08-07T01:00:28.484106Z

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Observation 156722b7-c71c-46be-89d9-e92fff34f7e6 · outbound

This paper cites Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows.

Statistical Machine Learning for Astronomy -- A Textbook Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Reference 1978

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no resolver link, observed 2026-08-07T01:00:28.779474Z

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Unavailable: canonical work link unavailable.

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Observation 7589c5bf-7f57-4796-bf8e-8d7a39f5151d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Statistical Machine Learning for Astronomy -- A Textbook BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1983

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Observation 0f5947d8-2972-49a5-9b32-1cb452f5a1e8 · outbound

This paper cites an unresolved cited work.

Statistical Machine Learning for Astronomy -- A Textbook Unresolved cited work

Reference 1984

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1017b84d-231f-426a-bbac-18d5ae2423b9 · outbound

This paper cites Language Models are Few-Shot Learners.

Statistical Machine Learning for Astronomy -- A Textbook Language Models are Few-Shot Learners

Reference 1987

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no resolver link, observed 2026-08-07T01:00:27.939549Z

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Observation cc533bba-8cae-4f4e-b5d9-87b473d8b770 · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

Statistical Machine Learning for Astronomy -- A Textbook Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Reference 1990

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no resolver link, observed 2026-08-07T01:00:28.392251Z

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Observation 0b8ba49a-d1e2-4a6e-896e-b78a452721ac · outbound

This paper cites Qui˜ nonero-Candela and C.

Statistical Machine Learning for Astronomy -- A Textbook Qui˜ nonero-Candela and C

Reference 1992

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 300b06e2-4e5d-49b3-b2c5-69ac599711f3 · outbound

This paper cites Density estimation using Real NVP.

Statistical Machine Learning for Astronomy -- A Textbook Density estimation using Real NVP

Reference 1995

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Observation 4a689ce6-1196-4de6-99db-5e0fce980a01 · outbound

This paper cites Emergent Abilities of Large Language Models.

Statistical Machine Learning for Astronomy -- A Textbook Emergent Abilities of Large Language Models

Reference 2003

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Observation d80b2f62-4c31-45cb-b2d4-979bc7884474 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Statistical Machine Learning for Astronomy -- A Textbook Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2005

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Observation 83b3b0e3-a098-42a5-950f-c118caf501e6 · outbound

This paper cites an unresolved cited work.

Statistical Machine Learning for Astronomy -- A Textbook Unresolved cited work

Reference 2006

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d6c141a-c1ba-423a-ac9b-32a71494b728 · outbound

This paper cites Generative Adversarial Networks.

Statistical Machine Learning for Astronomy -- A Textbook Generative Adversarial Networks

Reference 2020

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Pith citing papers

Observation 951d389a-6c09-4e42-8956-a87c01dcb9b5 · inbound

Anchoring Stellar Age Indicators: A Cross-Calibration of [C/N] and Gyrochronology Ages via the Age-Velocity-Dispersion Relation cites this paper.

Anchoring Stellar Age Indicators: A Cross-Calibration of [C/N] and Gyrochronology Ages via the Age-Velocity-Dispersion Relation Statistical Machine Learning for Astronomy -- A Textbook

Reference 103

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