Paper Citation Record · LEDGER

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2508.06506.

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

pith.paper-citation-record.v1
2508.06506 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:46:54.887652Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy11
unresolved3
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b6187ab-f947-4328-85a9-fb17ee20a4b7 · outbound

This paper cites Testing the kerr black hole hypothesis.Modern Physics Letters A, 26(33):2453– 2468, 2011.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Testing the kerr black hole hypothesis.Modern Physics Letters A, 26(33):2453– 2468, 2011

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:57.474078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da409fe7-ad21-4afc-91cc-7b2e24009ec4 · outbound

This paper cites Machine Learning in Astronomy: a practical overview.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Machine Learning in Astronomy: a practical overview

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:53.282323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553736c0-847b-4f1a-b92f-9d655c7038b5 · outbound

This paper cites Gravitational-wave spectroscopy of massive black holes with the space interferometer lisa.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Gravitational-wave spectroscopy of massive black holes with the space interferometer lisa

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:57.306402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65f64ecf-4291-45f6-b7fe-d450daaa74fc · outbound

This paper cites Solving the Regge-Wheeler and Teukolsky equations: supervised versus unsupervised physics-informed neural networks.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Solving the Regge-Wheeler and Teukolsky equations: supervised versus unsupervised physics-informed neural networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:53.549092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf34d70-da95-40ef-a28e-59fc4cb2ed9e · outbound

This paper cites Improved reflection models of black hole accretion disks: treating the angular distribution of x-rays.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Improved reflection models of black hole accretion disks: treating the angular distribution of x-rays

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:57.151195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0b2bd83-eb55-4b1c-a0a9-b274aaa85f3a · outbound

This paper cites High-frequency quasi-periodic oscillations in the black hole x-ray transient xte j1650–500.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning High-frequency quasi-periodic oscillations in the black hole x-ray transient xte j1650–500

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:57.003640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f754999-8e15-46b3-9806-5b4cb0ff1f6b · outbound

This paper cites An analytic representation for the quasi-normal modes of kerr black holes.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning An analytic representation for the quasi-normal modes of kerr black holes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:56.840305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab71c8f1-4618-47a8-9083-15ce2c5f0d04 · outbound

This paper cites Solving the teukolsky equation with physics-informed neural networks.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Solving the teukolsky equation with physics-informed neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:56.641685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b99c8cf1-21f1-45ae-916e-3b67396b32c6 · outbound

This paper cites Measuring the spins of stellar-mass black holes.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Measuring the spins of stellar-mass black holes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:56.417148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 68db643a-3d10-426b-bd31-25bc3be41b1d · outbound

This paper cites The spin of the near-extreme kerr black hole grs 1915+ 105.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning The spin of the near-extreme kerr black hole grs 1915+ 105

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:56.282214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1a2a914-bc9f-4f62-ab8d-fda684ac8133 · outbound

This paper cites Geometrical constraints on the origin of timing signals from black holes.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Geometrical constraints on the origin of timing signals from black holes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:56.104351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a1509c4-377f-4eec-b10b-3827ebef5d98 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T13:46:54.569382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f80062c-0c09-4992-8292-f94b05484089 · outbound

This paper cites Measuring black hole spin using x-ray reflection spectroscopy.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Measuring black hole spin using x-ray reflection spectroscopy

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:55.872915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdf8013c-74fa-4a1f-9d19-6fa71e3d3ca9 · outbound

This paper cites Measuring black hole spins with x-ray reflection spectroscopy: A grmhd outlook.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Measuring black hole spins with x-ray reflection spectroscopy: A grmhd outlook

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-06T13:46:55.296825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c37acbb8-a9e4-4830-9d92-c15209da3429 · outbound

This paper cites Models of quasi-periodic oscillations related to mass and spin of the gro j1655-40 black hole.

Hybrid Approaches for Black Hole Spin Estimation: From Classical Spectroscopy to Physics-Informed Machine Learning Models of quasi-periodic oscillations related to mass and spin of the gro j1655-40 black hole

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:46:55.573062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.