Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:23:18.900770Z
Paper Citation Record · LEDGER
AstroM$^3$: A self-supervised multimodal model for astronomy
As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 12 inbound Pith citation observations for arXiv:2411.08842.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:47:57.341453Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
49 of 49 outbound references displayed
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External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation b0f578dc-a079-4fec-8c4c-c4d5ac81a888 · outbound
This paper cites pp 2623--2631.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 2623--2631
Reference 1
- Resolution
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Observation f3f7f96f-4dfd-4bcd-905c-754fa9c688a7 · outbound
This paper cites CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?.
AstroM$^3$: A self-supervised multimodal model for astronomy CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Reference 2
- Resolution
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Observation fa0f0e29-6943-49cb-b48c-dc86342c62e9 · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 3
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Observation 1b7083ae-242c-4e8f-8a96-329b9002fbfc · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 4
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Unavailable: canonical work link unavailable.
Observation e2531c10-fa59-4b8b-8efa-fbeb4af31fee · outbound
This paper cites pp 2818--2829.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 2818--2829
Reference 5
- Resolution
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Observation 3cf7b43b-8719-4082-8e3e-299cc220b794 · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26913724-0743-4322-b81d-1f72321288eb · outbound
This paper cites M., Aerts C., Cuypers J., Vandenbussche B., Garrido R., Solano E., 2007, @doi [AAP] 10.1051/0004-6361:20077638 , https://ui.adsabs.harvard.edu/abs/2007A&A...475.1159D 475, 1159.
AstroM$^3$: A self-supervised multimodal model for astronomy M., Aerts C., Cuypers J., Vandenbussche B., Garrido R., Solano E., 2007, @doi [AAP] 10.1051/0004-6361:20077638 , https://ui.adsabs.harvard.edu/abs/2007A&A...475.1159D 475, 1159
Reference 7
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Observation c1bab63b-f5cb-4746-9cef-bb5aed92d824 · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 8
- Resolution
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Observation cafd48af-fe46-43d8-9104-49ee781fd0a4 · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 9
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Observation d98d6c12-12b9-4cd1-ab9f-aeabf36ffec8 · outbound
This paper cites pp 226--231.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 226--231
Reference 10
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Observation 71055846-e72b-496e-9d62-d00b6fc2a98c · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 30938b6e-c9fc-4114-a2af-2443dd860fb8 · outbound
This paper cites pp 976--980.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 976--980
Reference 12
- Resolution
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Observation 5aafcece-ebff-4f65-9d5b-67d9c1dacc37 · outbound
This paper cites A., Stein G., Harrington P., Luki \'c Z., Mustafa M., 2021, @doi [ApJ Letters] 10.3847/2041-8213/abf2c7 , https://ui.adsabs.harvard.edu/abs/2021ApJ...911L..33H 911, L33.
AstroM$^3$: A self-supervised multimodal model for astronomy A., Stein G., Harrington P., Luki \'c Z., Mustafa M., 2021, @doi [ApJ Letters] 10.3847/2041-8213/abf2c7 , https://ui.adsabs.harvard.edu/abs/2021ApJ...911L..33H 911, L33
Reference 13
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Observation 010cfda8-2f3c-4831-b93c-e77d51f39d47 · outbound
This paper cites S., 2020, @doi [ApJ Supp.] 10.3847/1538-4365/aba8ff , https://ui.adsabs.harvard.edu/abs/2020ApJS..250...30J 250, 30.
AstroM$^3$: A self-supervised multimodal model for astronomy S., 2020, @doi [ApJ Supp.] 10.3847/1538-4365/aba8ff , https://ui.adsabs.harvard.edu/abs/2020ApJS..250...30J 250, 30
Reference 14
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Observation b9a661b8-8723-4212-8ee0-ab964de47303 · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 15
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Observation c3a0f4cf-e55f-4736-869e-b83c229c003c · outbound
This paper cites an unresolved cited work.
AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 16
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Observation a9168ac6-166d-4ad3-9722-a5daf0ce83e6 · outbound
This paper cites D., 1965, @doi [ApJS] 10.1086/190116 , https://ui.adsabs.harvard.edu/abs/1965ApJS...11..216L 11, 216.
AstroM$^3$: A self-supervised multimodal model for astronomy D., 1965, @doi [ApJS] 10.1086/190116 , https://ui.adsabs.harvard.edu/abs/1965ApJS...11..216L 11, 216
Reference 17
- Resolution
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Observation bffc979a-515f-4708-bc67-47bd8cf6fc3a · outbound
This paper cites W., Bovy J., 2024, @doi [MNRAS] 10.1093/mnras/stad3015 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.1494L 527, 1494.
AstroM$^3$: A self-supervised multimodal model for astronomy W., Bovy J., 2024, @doi [MNRAS] 10.1093/mnras/stad3015 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.1494L 527, 1494
Reference 18
- Resolution
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Observation 9066309a-9e9b-43bb-8d46-653d2303d4e6 · outbound
This paper cites Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.
AstroM$^3$: A self-supervised multimodal model for astronomy Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Reference 19
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Observation cc3d64e3-14ec-4151-b84b-7b5b350db9cd · outbound
This paper cites pp 12888--12900.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 12888--12900
Reference 20
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Observation bef44f0b-1f0e-4110-a909-725c3931cd80 · outbound
This paper cites P., El Karoui N., Rice J.
AstroM$^3$: A self-supervised multimodal model for astronomy P., El Karoui N., Rice J
Reference 21
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Observation 3a1d64b6-eb39-477a-98f1-62d3e1a5c280 · outbound
This paper cites CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval.
AstroM$^3$: A self-supervised multimodal model for astronomy CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Reference 22
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Observation da7e5b8e-4565-465f-b85d-1c2d03d4f45b · outbound
This paper cites pp 638--647.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 638--647
Reference 23
- Resolution
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Observation 5a2903c9-9102-439b-ad68-bd659a30644e · outbound
This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.
AstroM$^3$: A self-supervised multimodal model for astronomy UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 24
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Observation b78ffbde-e58c-4f72-b725-24d79ed55cff · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 25
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Observation 9500f566-61d2-4f00-a6ec-1b3b7d8c9755 · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 26
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Observation 33d06d13-f431-472f-a70f-062db8d3d708 · outbound
This paper cites pp 529--544.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 529--544
Reference 27
- Resolution
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Observation e9a26f86-d305-4a06-b516-57008fb399be · outbound
This paper cites S., Biswas R., Hlo z ek R., 2019, @doi [PASP] 10.1088/1538-3873/ab1609 , https://ui.adsabs.harvard.edu/abs/2019PASP..131k8002M 131, 118002.
AstroM$^3$: A self-supervised multimodal model for astronomy S., Biswas R., Hlo z ek R., 2019, @doi [PASP] 10.1088/1538-3873/ab1609 , https://ui.adsabs.harvard.edu/abs/2019PASP..131k8002M 131, 118002
Reference 28
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Observation b9aeec90-3f5a-453a-941d-75883ae54bc0 · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy S., P \'e rez F., van der Walt S., 2018, @doi [Nature Astronomy] 10.1038/s41550-017-0321-z , https://ui.adsabs.harvard.edu/abs/2018NatAs...2..151N 2, 151
Reference 29
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 30
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Observation 5f0b6694-2bc3-47bc-884a-89961b26478e · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 31
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Observation a9dec421-7b2b-4f46-a69e-d19153b8ca8f · outbound
This paper cites pp 8748--8763.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 8748--8763
Reference 32
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Observation d859c218-7f66-4a71-a48c-66a108563226 · outbound
This paper cites W., et al., 2011, @doi [ApJ] 10.1088/0004-637X/733/1/10 , https://ui.adsabs.harvard.edu/abs/2011ApJ...733...10R 733, 10.
AstroM$^3$: A self-supervised multimodal model for astronomy W., et al., 2011, @doi [ApJ] 10.1088/0004-637X/733/1/10 , https://ui.adsabs.harvard.edu/abs/2011ApJ...733...10R 733, 10
Reference 33
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Observation 1c0f04b9-6b1b-4f9d-ac13-f68aab1a27ae · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy W., Starr D
Reference 34
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Observation 046d59d0-8489-4163-861f-3844eeb455e5 · outbound
This paper cites J., et al., 2014, @doi [ApJ] 10.1088/0004-637X/788/1/48 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...48S 788, 48.
AstroM$^3$: A self-supervised multimodal model for astronomy J., et al., 2014, @doi [ApJ] 10.1088/0004-637X/788/1/48 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...48S 788, 48
Reference 35
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Observation 1ea2f800-cdf9-4614-9cb7-71ed7032a4e4 · outbound
This paper cites pp 15638--15650.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 15638--15650
Reference 36
- Resolution
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Observation d21417f1-5f7c-410f-b758-f9a328cfb551 · outbound
This paper cites F., et al., 2006, @doi [AJ] 10.1086/498708 , https://ui.adsabs.harvard.edu/abs/2006AJ....131.1163S 131, 1163.
AstroM$^3$: A self-supervised multimodal model for astronomy F., et al., 2006, @doi [AJ] 10.1086/498708 , https://ui.adsabs.harvard.edu/abs/2006AJ....131.1163S 131, 1163
Reference 37
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Observation d6d25f71-4898-4732-93da-a4802560cae0 · outbound
This paper cites G., Torres G., Kounkel M., Feliz D.
AstroM$^3$: A self-supervised multimodal model for astronomy G., Torres G., Kounkel M., Feliz D
Reference 38
- Resolution
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Unavailable: canonical work link unavailable.
Observation fc30e088-d58c-49e9-ba7c-a23799fe40b4 · outbound
This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.
AstroM$^3$: A self-supervised multimodal model for astronomy EVA-CLIP: Improved Training Techniques for CLIP at Scale
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8a630fe-d9d9-40b7-915d-ed19e91ef637 · outbound
This paper cites L., et al., 2010, @doi [AJ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868.
AstroM$^3$: A self-supervised multimodal model for astronomy L., et al., 2010, @doi [AJ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868
Reference 40
- Resolution
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Reference 41
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 42
- Resolution
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AstroM$^3$: A self-supervised multimodal model for astronomy Unresolved cited work
Reference 43
- Resolution
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Observation c26ebaa9-647b-4a15-810e-50452acb4fc8 · outbound
This paper cites VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.
AstroM$^3$: A self-supervised multimodal model for astronomy VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Reference 44
- Resolution
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Observation 5aa85974-e106-4fdd-9284-2c769470a152 · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy Demystifying CLIP Data
Reference 45
- Resolution
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Observation 8d34c447-ea31-418c-88bb-2644885dfc7a · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy FILIP: Fine-grained Interactive Language-Image Pre-Training
Reference 46
- Resolution
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AstroM$^3$: A self-supervised multimodal model for astronomy pp 8552--8562
Reference 47
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Observation d2000b94-7849-453f-a213-7fb9a994aa0c · outbound
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AstroM$^3$: A self-supervised multimodal model for astronomy Maven: A Multimodal Foundation Model for Supernova Science
Reference 48
- Resolution
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Observation 63956ccd-afc0-486c-97ab-9f1ca1d69446 · outbound
This paper cites pp 11106--11115.
AstroM$^3$: A self-supervised multimodal model for astronomy pp 11106--11115
Reference 49
- Resolution
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Pith citing papers
Observation ceb20ee6-2f2e-4b06-8333-fc177ba558e7 · inbound
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515 cites this paper.
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515 AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:47:57.341453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7ccd267-6cc5-46ed-be91-2ba3ddf24d79 · 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 AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:22:37.388023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd41208b-aa2a-4f3f-aa71-0be235b2aa45 · inbound
Causal Foundation Models: Disentangling Physics from Instrument Properties cites this paper.
Causal Foundation Models: Disentangling Physics from Instrument Properties AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:32:22.416326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8b89d9a-8d16-4672-a09e-9d59d24913e8 · inbound
Causal Foundation Models: Disentangling Physics from Instrument Properties cites this paper.
Causal Foundation Models: Disentangling Physics from Instrument Properties AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:32:22.358129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7c14a1c-b143-4dbf-8827-8d1a51a21fb7 · inbound
Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer cites this paper.
Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:10:06.840863Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d3b2571-2ad5-4b2a-b65f-afaebdc1b02f · inbound
BOOM and Babamul: a real-time, multi-survey, optical alert broker system operating at scale cites this paper.
BOOM and Babamul: a real-time, multi-survey, optical alert broker system operating at scale AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T02:20:39.585110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8079ca50-e5b7-47d3-8b22-d183df4adcac · 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 AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:02:29.303735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f80ed21a-31fd-4864-af57-ac2e3d367450 · inbound
StarCLR: Contrastive Learning Representation for Astronomical Light Curves cites this paper.
StarCLR: Contrastive Learning Representation for Astronomical Light Curves AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T01:24:34.889191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 129c8864-ff4a-4f4b-978f-dd49e0aec505 · inbound
A useful representation of TESS light curves cites this paper.
A useful representation of TESS light curves AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:34:08.573644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8235066f-a947-4889-ae5f-21009f53d60a · inbound
A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training cites this paper.
A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:40:18.315505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 630ab29d-0842-488f-928e-9a4ce58b39ea · inbound
Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP cites this paper.
Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:05:48.951743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 59f623f3-9466-4169-88ed-fd2a47f25110 · inbound
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research cites this paper.
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research AstroM$^3$: A self-supervised multimodal model for astronomy
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:02:20.361005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.