Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12
As of 5 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2606.29918.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact45
- verified fuzzy0
- unresolved8
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2e72f446-0b97-49b2-b8f0-a0bbc7373189 · outbound
This paper cites The Astrophysical Journal , volume=.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 The Astrophysical Journal , volume=
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01c08fcb-3a8a-4098-9232-a20532f5775c · outbound
This paper cites 2021, A&A, 654, A107, doi: 10.1051/0004-6361/202040074 Galactic disk viewed by RC33 De Angeli, F., Weiler, M., Montegriffo, P., et al.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 2021, A&A, 654, A107, doi: 10.1051/0004-6361/202040074 Galactic disk viewed by RC33 De Angeli, F., Weiler, M., Montegriffo, P., et al
Reference 2
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.336148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 429e998f-591a-4900-955e-71349788ffe0 · outbound
This paper cites VVV Survey of Blue Horizontal-Branch Stars in the Bulge-Halo Transition Region of the Milky Way.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 VVV Survey of Blue Horizontal-Branch Stars in the Bulge-Halo Transition Region of the Milky Way
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.400941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b83ce7c0-4b14-44d5-be05-fd30a1402d4f · outbound
This paper cites 2025 , month =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 2025 , month =
Reference 4
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.411815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 89537da8-5a37-413f-ac9c-c5d496c8e5be · outbound
This paper cites keywords =.
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b267dabd-faf3-4126-a025-254062eb9275 · outbound
This paper cites keywords =.
Reference 6
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.368897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 111336b8-75d1-427f-88fa-cd0c00d08984 · outbound
This paper cites Horizontal Branch Stars: The Interplay between Observations and Theory, and Insights into the Formation of the Galaxy.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Horizontal Branch Stars: The Interplay between Observations and Theory, and Insights into the Formation of the Galaxy
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.364768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 468f121b-0bb9-4a78-86ce-04b3cd897b8a · outbound
This paper cites and Li, Zhao-Yu and Smith, Martin C.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 and Li, Zhao-Yu and Smith, Martin C
Reference 8
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.358620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5fcd058d-ecc7-421a-8a14-5aff7fd7056d · outbound
This paper cites keywords =.
Reference 9
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 10ab7335-05a8-4abc-8b8e-6cca7bc16228 · outbound
This paper cites Blue horizontal branch stars in the Sloan Digital Sky Survey: I. Sample selection and structure in the Galactic halo.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Blue horizontal branch stars in the Sloan Digital Sky Survey: I. Sample selection and structure in the Galactic halo
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.373723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 08eb7ef7-5b2d-45e5-8a2c-2299c2038075 · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 11
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.344008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8e22663-c7c7-43be-8e09-1340e70329c9 · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 12
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.378078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e10da6ad-4795-4d54-b74f-d1015bd9c745 · outbound
This paper cites Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , ISBN=.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , ISBN=
Reference 13
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.347326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1a4c564-f762-4f30-81e4-350601e49193 · outbound
This paper cites and Namboodiri, Vinay P.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 and Namboodiri, Vinay P
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a40a220-daf6-49d4-aaf9-64f89c79e4b2 · outbound
This paper cites Quantifying Kinematic Substructure in the Milky Way's Stellar Halo.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Quantifying Kinematic Substructure in the Milky Way's Stellar Halo
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.340074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7473f3ea-992b-4708-86d6-cfec6b39204e · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 16
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.345623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bc68f4d-03e3-4ae7-93f0-a89ff6da34ac · outbound
This paper cites A Catalog of Candidate Field Horizontal-Branch and A-Type Stars. III. A 2MASS-Cleaned Version.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 A Catalog of Candidate Field Horizontal-Branch and A-Type Stars. III. A 2MASS-Cleaned Version
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.354793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5637b78-4eee-4802-b0eb-bc86a201baca · outbound
This paper cites New hot subdwarf stars identified in Gaia DR2 with LAMOST DR5 spectra.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 New hot subdwarf stars identified in Gaia DR2 with LAMOST DR5 spectra
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.342339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7787dfee-e215-421c-a00a-092f58180e5d · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 19
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.360337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a2326e1-0040-4476-966d-ed66129d3cec · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 20
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.356668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29a982e7-a8aa-4bfb-ac53-4d9c15932600 · outbound
This paper cites arXiv , author =:2107.09302 , journal =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 arXiv , author =:2107.09302 , journal =
Reference 21
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.352343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 514f3e94-0f89-47c4-9ed0-37e727277ed6 · outbound
This paper cites M., Papadakis I.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 M., Papadakis I
Reference 22
- Resolution
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- arxiv_id, observed 2026-06-30T04:44:16.349672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d5c5ef5e-2de7-4dd9-a9da-c99073ca3947 · outbound
This paper cites F., et al., 2006, @doi [ ] 10.1086/498708 , http://adsabs.harvard.edu/abs/2006AJ....131.1163S 131.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 F., et al., 2006, @doi [ ] 10.1086/498708 , http://adsabs.harvard.edu/abs/2006AJ....131.1163S 131
Reference 23
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- verified exact
- doi, observed 2026-06-30T04:44:16.362395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 34aed949-be51-438c-b03f-5a36f5d56b81 · outbound
This paper cites The Century Survey Galactic Halo Project III: A Complete 4300 deg^2 Survey of Blue Horizontal Branch Stars in the Metal-Weak Thick Disk and Inner Halo.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 The Century Survey Galactic Halo Project III: A Complete 4300 deg^2 Survey of Blue Horizontal Branch Stars in the Metal-Weak Thick Disk and Inner Halo
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.376382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 52704064-d8c0-4a5b-ba52-2c3501169b98 · outbound
This paper cites and Grebel, Eva K.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 and Grebel, Eva K
Reference 25
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.329116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 76f26838-1a4c-41fb-90f4-1f57a002dee8 · outbound
This paper cites The Sloan Digital Sky Survey: Technical Summary.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 The Sloan Digital Sky Survey: Technical Summary
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.322249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ebcf248-16aa-4d05-bc2a-c2a5447a7004 · outbound
This paper cites Summary of the contents and survey properties (Corrigendum).
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Summary of the contents and survey properties (Corrigendum)
Reference 27
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.324227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9f98840-324e-4e5b-a9e1-3ee67a3f9fc0 · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 28
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.326024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 56afe9fe-1258-41a5-9b82-d3bebcbee1a0 · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 29
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fd695cc4-2dbf-4a0d-8d57-444f705d3478 · outbound
This paper cites The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 The Eighth Data Release of the Sloan Digital Sky Survey: First Data from SDSS-III
Reference 30
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- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.333729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 09a62aaa-ab10-49be-bb23-3fa6e9af71ba · outbound
This paper cites keywords =.
Reference 31
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.337812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 120109f4-c93b-4f7a-9712-e39618dd0a46 · outbound
This paper cites Research in Astronomy and Astrophysics , year = 2012, month = sep, volume =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Research in Astronomy and Astrophysics , year = 2012, month = sep, volume =
Reference 32
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.370545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8b807ec-5fe9-40e9-bab0-a76b52250799 · outbound
This paper cites 2012, Research in Astronomy and Astrophysics, 12, 723, doi: 10.1088/1674-4527/12/7/002.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 2012, Research in Astronomy and Astrophysics, 12, 723, doi: 10.1088/1674-4527/12/7/002
Reference 33
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.428556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c38a72e1-c945-4fdd-bf8e-084050c4ba82 · outbound
This paper cites Carbon stars identified from LAMOST DR4 using Machine Learning.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Carbon stars identified from LAMOST DR4 using Machine Learning
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.413930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6966cf54-9fdd-4292-9c22-c9a348e19229 · outbound
This paper cites Chen and C.
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de1fe0b6-14bd-4554-97ae-36209c2347a8 · outbound
This paper cites Publications of the Astronomical Society of the Pacific , abstract =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Publications of the Astronomical Society of the Pacific , abstract =
Reference 36
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.422280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 815b1e9b-5724-42c7-9d97-28811c680695 · outbound
This paper cites keywords =.
Reference 37
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 786f4d71-7f63-4da2-a640-8bff6db5704d · outbound
This paper cites LAMOST Experiment for Galactic Understanding and Exploration (LEGUE) The survey science plan.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 LAMOST Experiment for Galactic Understanding and Exploration (LEGUE) The survey science plan
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1039cc8e-216f-42f7-879e-4c1ba406a5d8 · outbound
This paper cites keywords =.
Reference 39
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5141f2b-fb30-4e56-a0f8-7528fe41cd35 · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 40
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.410204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f4b4b694-22c9-4d9c-ba57-364ff65dd498 · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 41
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5da13f0-f599-4932-afb9-8d27d4a8c728 · outbound
This paper cites arXiv , author =:2203.07938 , journal =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 arXiv , author =:2203.07938 , journal =
Reference 42
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.406618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b521abd0-26a9-4fce-924b-22243e8d0e87 · outbound
This paper cites Rethinking the Inception Architecture for Computer Vision , year=.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Rethinking the Inception Architecture for Computer Vision , year=
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10236757-ab08-4bac-945c-5e6ebf48d0ed · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 44
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.395779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 265d53ca-0a93-43e2-8242-17a4782c8a6f · outbound
This paper cites Deep Residual Learning for Image Recognition.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Deep Residual Learning for Image Recognition
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T04:44:16.403294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a998fbc-1751-4ea7-9789-bd75c1b12bd0 · outbound
This paper cites Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac6e6b62-fd6d-406a-8228-0a9850009d24 · outbound
This paper cites Focal Loss for Dense Object Detection , year=.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Focal Loss for Dense Object Detection , year=
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a33d99f0-ff61-475b-8e07-59a9f6bcd64b · outbound
This paper cites International Conference on Learning Representations , year=.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 International Conference on Learning Representations , year=
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b9f392e-db3b-4cd9-a5d0-7a87cb4a5bc2 · outbound
This paper cites Very deep convolutional networks for large-scale image recognition , volume =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Very deep convolutional networks for large-scale image recognition , volume =
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f05c770-9663-4076-b803-76d206716b64 · outbound
This paper cites ImageNet classific ation with deep convolutional neural networks.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 ImageNet classific ation with deep convolutional neural networks
Reference 50
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.391611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2156eb5b-52e3-4fb6-8ed0-6c1b1ed31f84 · outbound
This paper cites Identification of A-colored Stars and Structure in the Halo of the Milky Way from SDSS Commissioning Data.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Identification of A-colored Stars and Structure in the Halo of the Milky Way from SDSS Commissioning Data
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.394096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3fb7bd89-fb2f-44b9-b2f3-ba08ef5b53d6 · outbound
This paper cites an unresolved cited work.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Unresolved cited work
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T04:37:36.891024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7be4f6a8-1a83-468d-8894-d49a10b1831f · outbound
This paper cites and LeBlanc , F.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 and LeBlanc , F
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T04:44:16.388148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d56e754e-ed9f-4e51-aafb-8c0a559de9ea · outbound
This paper cites , keywords =.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 , keywords =
Reference 54
- Resolution
- verified exact
- doi, observed 2026-06-30T04:44:16.389844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bf98ac2c-588b-4f5c-b57c-1c5599aa4486 · outbound
This paper cites The population of hot subdwarf stars studied with Gaia I. The catalogue of known hot subdwarf stars.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 The population of hot subdwarf stars studied with Gaia I. The catalogue of known hot subdwarf stars
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.398238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66a4569c-9f93-4691-9338-2915b67cb1fd · outbound
This paper cites Gaia Data Release 2 Catalogue of Extremely-low Mass White Dwarf Candidates.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Gaia Data Release 2 Catalogue of Extremely-low Mass White Dwarf Candidates
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.385321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 31dbcb18-c5fa-4442-bc54-77bdbcb1d99a · outbound
This paper cites A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.382914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d175b3c9-9ab8-443d-a7de-626cdd48493f · outbound
This paper cites Chemical Abundances and Rotation Velocities of Blue Horizontal-Branch Stars in Six Globular Clusters.
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12 Chemical Abundances and Rotation Velocities of Blue Horizontal-Branch Stars in Six Globular Clusters
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T04:44:16.380445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.