Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:01:23.036059Z
Paper Citation Record · LEDGER
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
As of 18 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2505.08410.
A citation records a reference. It does not transfer a finding from one paper to another.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:39:21.580721Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
69 of 69 outbound references displayed
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Outbound references
Observation a4d211ce-0b76-4d86-b304-57ec632cd653 · outbound
This paper cites 2019, Optuna: A Next-generation Hyperparameter Optimization Framework.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2019, Optuna: A Next-generation Hyperparameter Optimization Framework
Reference 1
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Observation 5caa856e-69cb-4757-82ea-71c988a18cd4 · outbound
This paper cites & Faure, A.
Reference 2
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Observation 40b82134-2b8f-481f-a971-19edf36cae83 · outbound
This paper cites W., Williams, D.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning W., Williams, D
Reference 3
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Observation 09e3c439-8c1f-48d8-81d0-6255f567447c · outbound
This paper cites A., & Rawlings, J.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning A., & Rawlings, J
Reference 4
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Observation 71101814-7531-4936-91e5-748af0f3f9c8 · outbound
This paper cites A., Rawlings, J.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning A., Rawlings, J
Reference 5
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Observation 5ed6d3d7-06c9-49d8-af9d-138668491f6e · outbound
This paper cites G., Holdship, J., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning G., Holdship, J., et al
Reference 6
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Observation 9b5dfcb5-a3a3-4480-9624-bb96acbddce6 · outbound
This paper cites J., Sephus, C.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning J., Sephus, C
Reference 7
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Observation e4b54cb3-1a01-4fdd-a8ba-4015efa7713d · outbound
This paper cites D., Charnley, S.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning D., Charnley, S
Reference 8
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Observation 975a3883-351d-40a6-b8fe-857594efe3cb · outbound
This paper cites 2022, A&A, 667, A131.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022, A&A, 667, A131
Reference 9
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Observation ce5e0e39-53f4-494c-b643-307c8a874926 · outbound
This paper cites H., Hashimoto, T., Goto, T., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning H., Hashimoto, T., Goto, T., et al
Reference 10
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Observation 09abd6b9-07bc-4ba6-bd4c-56d84fc22e88 · outbound
This paper cites 2019, Explaining Models by Propagating Shapley Values of Local Components.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2019, Explaining Models by Propagating Shapley Values of Local Components
Reference 11
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Observation 74d527fd-a995-411f-a252-6215643294da · outbound
This paper cites & Guestrin, C.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning & Guestrin, C
Reference 12
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Observation e2fb7673-26d7-4100-97e8-a573c83cacc7 · outbound
This paper cites & Bachiller, R.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning & Bachiller, R
Reference 13
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Observation aeb91522-ff55-45e5-861a-d2be215c03e0 · outbound
This paper cites 2022, A&A, 667, A151.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022, A&A, 667, A151
Reference 14
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Observation 10657888-e07a-4de6-bac0-8549f5778592 · outbound
This paper cites 2017, MNRAS, 471, 987.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2017, MNRAS, 471, 987
Reference 15
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Observation 4014bcf3-1849-4559-845f-d6c6298024b9 · outbound
This paper cites 2022 a , A&A, 660, A76.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022 a , A&A, 660, A76
Reference 16
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Observation 4abd3208-328f-4aca-a474-738194a7e31a · outbound
This paper cites 2022 b , A&A, 664, A154.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022 b , A&A, 664, A154
Reference 17
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Observation 41da9ede-9bab-461d-8f3e-e64189b5e847 · outbound
This paper cites 2024, A&A, 691, A180.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2024, A&A, 691, A180
Reference 18
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Observation 1819ab53-2399-49c2-8805-803bffb3f486 · outbound
This paper cites L., \"O berg, K.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning L., \"O berg, K
Reference 19
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Observation 3be6f89b-6ea1-49a5-8d6a-da4eff4ed54c · outbound
This paper cites 2010, A&A, 519, A2.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2010, A&A, 519, A2
Reference 20
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Observation 80a18d13-68f2-4139-83b8-31ec69647b3d · outbound
This paper cites 2025, Mapping Synthetic Observations to Prestellar Core Models : An Interpretable Machine Learning Approach.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2025, Mapping Synthetic Observations to Prestellar Core Models : An Interpretable Machine Learning Approach
Reference 21
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Observation bc778082-c006-48f2-baf2-d660b36d69a7 · outbound
This paper cites D., & Van Dishoeck, E.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning D., & Van Dishoeck, E
Reference 22
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Observation 58c05432-827b-4046-b15e-151a5b8d44de · outbound
This paper cites S., Mart \'i n, S., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning S., Mart \'i n, S., et al
Reference 23
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Observation 5188f7b8-a8da-40df-8e02-f1ca2597ec7b · outbound
This paper cites 2024 b , A Temperature or FUV Tracer? The HNC / HCN Ratio in M83 on the GMC Scale.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2024 b , A Temperature or FUV Tracer? The HNC / HCN Ratio in M83 on the GMC Scale
Reference 24
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Observation b5163a49-8f15-48e1-a3bd-730aa5c78368 · outbound
This paper cites 2009, The Elements of Statistical Learning , Springer Series in Statistics (New York, NY: Springer).
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2009, The Elements of Statistical Learning , Springer Series in Statistics (New York, NY: Springer)
Reference 25
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Observation 812bcd52-19f4-4c1e-b2f1-630c5d96d37c · outbound
This paper cites & van Dishoeck, E.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning & van Dishoeck, E
Reference 26
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Observation 311d618c-42ef-4816-9702-d0fa27cfb790 · outbound
This paper cites 2023 a , MNRAS, 526, 404.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2023 a , MNRAS, 526, 404
Reference 27
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Observation be4ccab4-d62e-47fa-85ee-25251fe4e59c · outbound
This paper cites 2023 b , Faraday Discussions, 245, 569.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2023 b , Faraday Discussions, 245, 569
Reference 28
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Observation 72963e6c-a75f-441e-a0ea-d40517e909d9 · outbound
This paper cites 2017, The Astronomical Journal, 154, 38.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2017, The Astronomical Journal, 154, 38
Reference 29
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Observation e39b9251-fb94-4acc-8af2-d274d201b4f6 · outbound
This paper cites R., Oka, T., & McCall, B.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning R., Oka, T., & McCall, B
Reference 30
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This paper cites A., Viti, S., Yusef-Zadeh , F., Royster, M., & Wardle, M.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning A., Viti, S., Yusef-Zadeh , F., Royster, M., & Wardle, M
Reference 31
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Observation 0fbb47f3-8726-4fca-a0a9-ba5e659d66c4 · outbound
This paper cites 2023, 241, 208.11.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2023, 241, 208.11
Reference 32
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Observation 72be7441-1980-46fb-bd4e-ecceca70f260 · outbound
This paper cites 2018, A&A, 615, A122.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2018, A&A, 615, A122
Reference 33
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Observation eb4ee0e7-8d38-45f6-aa8b-5c2b4754df8c · outbound
This paper cites 2019, Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2019, Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
Reference 34
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Observation 32c6c3f5-914b-4310-95fc-aa47a458fc5b · outbound
This paper cites 2015, ApJ, 802, 40.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2015, ApJ, 802, 40
Reference 35
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Observation a5bd8bec-acda-4611-9564-a6eb786b5bb9 · outbound
This paper cites & Lee, S.-I.
Reference 36
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Observation 0dcaa00d-bf15-4272-8a12-cbd8da9b3b09 · outbound
This paper cites M., Erion, G., Chen, H., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning M., Erion, G., Chen, H., et al
Reference 37
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Observation 0adf1509-9123-4ccf-b20f-a3904928f407 · outbound
This paper cites 2020, UMAP : Uniform Manifold Approximation and Projection for Dimension Reduction.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2020, UMAP : Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 38
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Observation f4d3ecf5-e486-4f11-82db-1a5f133f983e · outbound
This paper cites E., Amayo, A., Arellano-C \'o rdova , K.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning E., Amayo, A., Arellano-C \'o rdova , K
Reference 39
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Observation 7606aa7b-6075-4f9b-8ee5-a6e522b84950 · outbound
This paper cites N., Savage, C., Brewster, M.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning N., Savage, C., Brewster, M
Reference 40
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Observation b135d4be-3713-453a-bb7e-7a4407b3fdd8 · outbound
This paper cites J., Bennett, A., Rawlings, J.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning J., Bennett, A., Rawlings, J
Reference 41
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Observation de53449b-d763-4203-9c4d-d0134aaa52f7 · outbound
This paper cites 2022, Interpretable Machine Learning: A Guide for Making Black Box Models Explainable, second edition edn.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022, Interpretable Machine Learning: A Guide for Making Black Box Models Explainable, second edition edn
Reference 42
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Observation 70ab2eaf-dc95-4e37-b8aa-e852a04fd4dd · outbound
This paper cites 1901, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, 559.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 1901, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, 559
Reference 43
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Observation 19e0e198-62ba-4394-a10d-91c094f8c2d4 · outbound
This paper cites H., Clark, P.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning H., Clark, P
Reference 44
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Observation e48a3f1c-ac3c-4789-913a-7f7a2797caf0 · outbound
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Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning A., Plaza, C
Reference 45
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Observation 58f0d09d-dca7-442b-9102-35152b0df6a9 · outbound
This paper cites Why Should I Trust You ?.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Why Should I Trust You ?
Reference 46
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Observation 2602217b-f62b-4dc9-aa3c-ec17dde5e48b · outbound
This paper cites P., Bell, T., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning P., Bell, T., et al
Reference 47
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Observation 7961b471-92f5-4b5e-b7f4-32f40b485687 · outbound
This paper cites 2016, MNRAS, 459, 3756.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2016, MNRAS, 459, 3756
Reference 48
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This paper cites 2021, A&A, 652, A71.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2021, A&A, 652, A71
Reference 49
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This paper cites A., Molnar, C., Heumann, C., Bischl, B., & Casalicchio, G.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning A., Molnar, C., Heumann, C., Bischl, B., & Casalicchio, G
Reference 50
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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 4293239f-27c0-4cb8-93c4-0274eae359a6 · outbound
This paper cites 2018, A&A, 617, A28.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2018, A&A, 617, A28
Reference 51
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84f33598-46f9-44b2-b14e-b8f63c9e6f6d · outbound
This paper cites B., et al.
Reference 52
- Resolution
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- raw_fallback, observed 2026-08-15T22:01:23.254297Z
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 ded457d2-3c60-4bec-80b4-c9ed8afc3c81 · outbound
This paper cites E., et al.
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.243937Z
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 f3e15a41-522d-47ca-99b7-68154d1f0408 · outbound
This paper cites an unresolved cited work.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:01:23.233330Z
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 6e27e283-927e-43dd-8b61-7d1f1d401e77 · outbound
This paper cites 2021, ApJ, 922, 206.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2021, ApJ, 922, 206
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.222943Z
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 35f251bb-22f8-40c4-870b-6ff18d053ae6 · outbound
This paper cites an unresolved cited work.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:01:23.211878Z
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 eda3d036-c16b-4778-a3e7-e42fbd2e6b2c · outbound
This paper cites an unresolved cited work.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:01:23.200655Z
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 4d953464-08e3-4895-a654-b35f5f91e4f2 · outbound
This paper cites E., et al.
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.189787Z
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 3a7b3841-e010-4159-aef4-4a190e65bc63 · outbound
This paper cites 2021, A&A, 646, A97.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2021, A&A, 646, A97
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.179113Z
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 28aff405-5911-4e70-a889-c298a52c3a99 · outbound
This paper cites an unresolved cited work.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:01:23.168244Z
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 b6103fe3-1e77-40f3-984a-9e9a30bc3f3a · outbound
This paper cites & Hinton, G.
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.157055Z
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 5de8a6ed-b949-4502-a050-548c2ddbb9f9 · outbound
This paper cites & Williams, D.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning & Williams, D
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.144673Z
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 2c686bb4-abea-4f37-87bd-8bc5351c9fd3 · outbound
This paper cites 2010, A&A, 517, A21.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2010, A&A, 517, A21
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.132080Z
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 21ecf598-3285-419f-9308-b028bf84c2b1 · outbound
This paper cites 2022, ApJ, 937, 120.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning 2022, ApJ, 937, 120
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.119438Z
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 18d6d88b-250f-4cbc-a563-ee7d0f2f2e42 · outbound
This paper cites an unresolved cited work.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:01:23.107073Z
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 2997cd2c-3c4c-4b9d-b072-1bf00557af5a · outbound
This paper cites D., Bemis, A., Ledger, B., & Klimi, O.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning D., Bemis, A., Ledger, B., & Klimi, O
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.094672Z
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 a1fd35c1-574e-4580-9e41-bbd71d41643e · outbound
This paper cites M., Kelly, G., Viti, S., et al.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning M., Kelly, G., Viti, S., et al
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:01:23.083344Z
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 c90de515-8224-4862-b4d4-39702a1c7e2a · outbound
This paper cites , " * write output.state after.block = add.period write newline.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning , " * write output.state after.block = add.period write newline
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:01:23.031602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8d862ac-a497-4ccc-a4ca-04153a31fe85 · outbound
This paper cites write newline.
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning write newline
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:01:23.036059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 40e9b7f7-2f20-4921-ba1e-9506d585d05f · inbound
End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer cites this paper.
End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
Reference 203
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:39:21.580721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.