RamanPFN: learning from Raman spectral structure with a tabular foundation model | Paper Citation Record

Observation 899eaf76-7f49-41bc-ad76-840800a68773 · outbound

This paper cites Sokolov, Sergei V.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Sokolov, Sergei V

Reference 1

Resolution: verified exact; doi, observed 2026-08-04T13:38:24.849937Z

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Observation c4c5c1a7-3126-4d50-8efd-a91720a4fb9f · outbound

This paper cites Photon-counting Raman spectroscopy at a MHz spectral rate for biochemical imaging of an entire organism.Nature Communications, 16(1):3808, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Photon-counting Raman spectroscopy at a MHz spectral rate for biochemical imaging of an entire organism.Nature Communications, 16(1):3808, 2025

Reference 2

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Observation bec1a113-1468-4c17-8b1d-4c384d06e093 · outbound

This paper cites Bohndiek.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Bohndiek

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T13:38:24.186515Z

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Observation 3158b8c7-b273-4338-861c-351c273455a0 · outbound

This paper cites Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning

Reference 4

Resolution: verified exact; doi, observed 2026-08-04T13:38:24.089086Z

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Observation c7a5f7f6-7ab7-43ea-9cb5-3df273cbde65 · outbound

This paper cites Tadesse, Amanda R.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Tadesse, Amanda R

Reference 5

Resolution: verified exact; doi, observed 2026-08-04T13:38:23.930239Z

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Observation b045805b-a748-4cf6-81c3-a2bd1b59680b · outbound

This paper cites Optics miniaturization strategy for demanding Raman spectroscopy applications.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Optics miniaturization strategy for demanding Raman spectroscopy applications

Reference 6

Resolution: verified exact; doi, observed 2026-08-04T13:38:23.794814Z

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Observation dcaa830b-235e-42e4-8cbf-23544a8b8cbd · outbound

This paper cites A universal and accurate method for easily identifying components in Raman spectroscopy based on deep learning.Analytical Chemistry, 95(11): 4863–4870, 2023.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A universal and accurate method for easily identifying components in Raman spectroscopy based on deep learning.Analytical Chemistry, 95(11): 4863–4870, 2023

Reference 7

Resolution: verified exact; doi, observed 2026-08-04T13:38:23.657893Z

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Observation b69a5370-b4f3-4b6c-94c6-e19c6cc2ab6d · outbound

This paper cites Seitz, David Heinzmann, Katja Schenke-Layland, Patricia B.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Seitz, David Heinzmann, Katja Schenke-Layland, Patricia B

Reference 8

Resolution: verified exact; doi, observed 2026-08-04T13:38:23.507090Z

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Observation a1dca4fa-56e7-4753-8a76-e994fbc5ec30 · outbound

This paper cites RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy.

RamanPFN: learning from Raman spectral structure with a tabular foundation model RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:06.678316Z

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Observation 66a876d9-c73f-4203-a28a-76b6c00ea1d4 · outbound

This paper cites PLS-regression: a basic tool of chemometrics.Chemometrics and Intelligent Laboratory Systems, 58(2):109–130, 2001.

RamanPFN: learning from Raman spectral structure with a tabular foundation model PLS-regression: a basic tool of chemometrics.Chemometrics and Intelligent Laboratory Systems, 58(2):109–130, 2001

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:06.791314Z

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Observation ba0b5e48-6c85-4cfc-9d65-80cfcec4ee5e · outbound

This paper cites Partial least squares for discrimination.Journal of Chemometrics, 17(3):166–173, 2003.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Partial least squares for discrimination.Journal of Chemometrics, 17(3):166–173, 2003

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:06.864513Z

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Observation 98d1f74c-8e8a-4540-8a3a-815f13647a46 · outbound

This paper cites Stevens, and Mauricio Barahona.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Stevens, and Mauricio Barahona

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:06.981157Z

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Observation a52651b3-0f1a-405f-92d1-929fae1d312a · outbound

This paper cites Image processing and machine learning for hyperspectral unmixing: an overview and the HySUPP python package.IEEE Transactions on Geoscience and Remote Sensing, 62:1–31, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Image processing and machine learning for hyperspectral unmixing: an overview and the HySUPP python package.IEEE Transactions on Geoscience and Remote Sensing, 62:1–31, 2024

Reference 13

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Observation 7a8cc3a4-9f61-4741-a2e6-b5afb238e7fb · outbound

This paper cites MAT-Net: multiscale aggregation transformer network for hyperspectral unmixing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–15, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model MAT-Net: multiscale aggregation transformer network for hyperspectral unmixing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–15, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.141248Z

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Observation c926463c-493f-4bd9-b5ac-1bc3a7c0e125 · outbound

This paper cites Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Philippe St-Pierre, Tom Vercauteren, Molly M.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Philippe St-Pierre, Tom Vercauteren, Molly M

Reference 15

Resolution: verified exact; doi, observed 2026-08-04T13:38:23.223810Z

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Observation d6741aaf-b7c9-46ee-913f-e7ac52493fb9 · outbound

This paper cites Dunlop, and Ji-Xin Cheng.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Dunlop, and Ji-Xin Cheng

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T13:38:22.950162Z

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Observation 20376bf0-fb67-4661-bd05-b7dc0fba28dd · outbound

This paper cites Deep learning-decoded Raman spectroscopy for hour-scale iPSC pluripotency assessment via lipid–protein biomarkers.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Deep learning-decoded Raman spectroscopy for hour-scale iPSC pluripotency assessment via lipid–protein biomarkers

Reference 17

Resolution: verified exact; doi, observed 2026-08-04T13:38:22.744745Z

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Observation 71ae41e5-d482-47ff-83c0-cd30cf1e9a09 · outbound

This paper cites Martin, Peter J.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Martin, Peter J

Reference 18

Resolution: verified exact; doi, observed 2026-08-04T13:38:22.327866Z

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Observation 3d56181c-635a-40b8-81c4-a84a9b0e43c0 · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-04T13:38:22.128461Z

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Observation 50ac8021-7a9d-4e12-b83b-46512a078e27 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637:319–326, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Accurate predictions on small data with a tabular foundation model.Nature, 637:319–326, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.599870Z

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Observation fa997032-9087-4720-a453-623a84d367ea · outbound

This paper cites When do neural nets outperform boosted trees on tabular data? InAdvances in Neural Information Processing Systems, volume 36, pages 76336–76369.

RamanPFN: learning from Raman spectral structure with a tabular foundation model When do neural nets outperform boosted trees on tabular data? InAdvances in Neural Information Processing Systems, volume 36, pages 76336–76369

Reference 21

Resolution: verified exact; doi, observed 2026-08-04T13:38:21.917785Z

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Observation 93ca2331-d42a-4faf-9020-68880ddd69f3 · outbound

This paper cites TabArena: a living benchmark for machine learning on tabular data.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabArena: a living benchmark for machine learning on tabular data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.776953Z

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Observation 111a31c4-4e22-4cb7-9a6a-75c80332e898 · outbound

This paper cites TabICL: a tabular foundation model for in-context learning on large data.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabICL: a tabular foundation model for in-context learning on large data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.847752Z

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Observation 452cb8ef-1e48-4a10-9e1b-2ded67ca965e · outbound

This paper cites Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.890571Z

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Observation 1dabdc2e-de9d-4721-9f25-7df16c8c3a56 · outbound

This paper cites A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:07.970472Z

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Observation 8c56800c-53f8-41cf-aad8-6fb7dbf2a156 · outbound

This paper cites TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.029004Z

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Observation 6a801ce0-83e9-4520-bef7-e9c006d1b0da · outbound

This paper cites TabPFN-Wide: continued pre-training for extreme feature counts.arXiv preprint arXiv:2510.06162, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabPFN-Wide: continued pre-training for extreme feature counts.arXiv preprint arXiv:2510.06162, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.103073Z

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Observation a03d3267-91d3-4fee-8cfe-a1a0f20a5b12 · outbound

This paper cites TuneTables: context optimization for scalable prior-data fitted networks.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TuneTables: context optimization for scalable prior-data fitted networks

Reference 28

Resolution: verified exact; doi, observed 2026-08-04T13:38:21.824717Z

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Observation 70756784-71ea-40b3-a41d-1813d447d7dc · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 29

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Observation e7cff4da-c351-43b0-8f1b-ca359c4ad510 · outbound

This paper cites Tabular foundation models for robust calibration of near-infrared chemical sensing data.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Tabular foundation models for robust calibration of near-infrared chemical sensing data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.264244Z

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Observation 53841a72-1562-4e12-b846-c89fb5567521 · outbound

This paper cites Bartel, and Gerbrand Ceder.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Bartel, and Gerbrand Ceder

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.328236Z

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Observation 43017800-37ce-4bbe-bdd9-c48358fe218f · outbound

This paper cites Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.444190Z

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Observation 334ca1f4-3d41-4612-89fe-81aea860e4f9 · outbound

This paper cites A generative model for inorganic materials design.Nature, 639:624–632,.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A generative model for inorganic materials design.Nature, 639:624–632,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.591480Z

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Observation 8477e8c3-aa5d-4f3f-a46a-9439b022614d · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A decoder-only foundation model for time-series forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.831623Z

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Observation e98e813b-10fb-4601-8383-df2c569b8758 · outbound

This paper cites Maddix, Hao Wang, Michael W.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Maddix, Hao Wang, Michael W

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.917199Z

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Observation 97f6dc70-d40a-464a-820d-0a7f50570de9 · outbound

This paper cites SpectralGPT: spectral remote sensing foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5227–5244, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model SpectralGPT: spectral remote sensing foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(8):5227–5244, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.974136Z

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Observation bc5a4055-1d52-44d9-8ab9-405e69df897d · outbound

This paper cites Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling.Nature Machine Intelligence, 7(5):743–757, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling.Nature Machine Intelligence, 7(5):743–757, 2025

Reference 37

Resolution: verified exact; doi, observed 2026-08-04T13:38:21.452405Z

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Observation 86ba84bf-c51e-4cc6-9b27-3c18c3534902 · outbound

This paper cites HyperSIGMA: hyperspectral intelligence comprehension foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(8):6427–6444, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model HyperSIGMA: hyperspectral intelligence comprehension foundation model.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(8):6427–6444, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.073620Z

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Observation 4d381ad7-b974-4a92-b218-646b1b2d7f81 · outbound

This paper cites A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification.Nature Communications,.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification.Nature Communications,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.115089Z

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Observation 0aa6ef9d-9e48-4750-ba1b-34b0e00b8e7e · outbound

This paper cites In context learning foundation models for materials 24 property prediction with small datasets.npj Computational Materials, 12(1):222, 2026.

RamanPFN: learning from Raman spectral structure with a tabular foundation model In context learning foundation models for materials 24 property prediction with small datasets.npj Computational Materials, 12(1):222, 2026

Reference 40

Resolution: verified exact; doi, observed 2026-08-04T13:38:20.834699Z

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Observation 6e627504-6471-4b9f-b608-11369e399c24 · outbound

This paper cites A foundation model for atomistic materials chemistry.The Journal of Chemical Physics, 163:184110, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A foundation model for atomistic materials chemistry.The Journal of Chemical Physics, 163:184110, 2025

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.352601Z

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Observation 6400824f-580b-4101-b7bc-7cd2135897cf · outbound

This paper cites A universal graph deep learning interatomic poten- tial for the periodic table.Nature Computational Science, 2(11):718–728, 2022.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A universal graph deep learning interatomic poten- tial for the periodic table.Nature Computational Science, 2(11):718–728, 2022

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.452715Z

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Observation a8b46214-a7a4-4704-9ece-f4108dd2ea3f · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 43

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Observation 8eccca26-6607-46eb-b415-c0202aeecfdf · outbound

This paper cites MOMENT: a family of open time-series foundation models.

RamanPFN: learning from Raman spectral structure with a tabular foundation model MOMENT: a family of open time-series foundation models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.652723Z

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Observation de935145-8837-4923-ace5-d0106955008d · outbound

This paper cites Timer: generative pre-trained transformers are large time series models.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Timer: generative pre-trained transformers are large time series models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.819720Z

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Observation 6ef4c44f-08fc-4f29-a91d-e7caf1e2285c · outbound

This paper cites Unified training of universal time series forecasting transformers.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unified training of universal time series forecasting transformers

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:09.910921Z

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Observation 6d76f8f4-d0e7-464d-a947-95c4e9c8f7f8 · outbound

This paper cites A semantic-enhanced multi-modal remote sensing foundation model for earth observation.Nature Machine Intelligence, 7(8):1235–1249, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model A semantic-enhanced multi-modal remote sensing foundation model for earth observation.Nature Machine Intelligence, 7(8):1235–1249, 2025

Reference 47

Resolution: malformed identifier; no resolver link, observed 2026-08-04T13:38:10.067731Z

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Observation d08cac35-cc7b-44bb-a897-33a7570241c3 · outbound

This paper cites RemoteCLIP: a vision-language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–16, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model RemoteCLIP: a vision-language foundation model for remote sensing.IEEE Transactions on Geoscience and Remote Sensing, 62:1–16, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:10.199678Z

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Observation e6a180c6-f5ad-4fed-b70b-98af66b07add · outbound

This paper cites HyperSL: a spectral foundation model for hyperspectral image interpretation.IEEE Transactions on Geoscience and Remote Sensing, 63:1–19, 2025.

RamanPFN: learning from Raman spectral structure with a tabular foundation model HyperSL: a spectral foundation model for hyperspectral image interpretation.IEEE Transactions on Geoscience and Remote Sensing, 63:1–19, 2025

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:10.351152Z

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Observation 31f5eed8-1572-43fe-a061-ca0ac2a33c06 · outbound

This paper cites Foundation model-based multimodal remote sensing data classification.IEEE Transactions on Geoscience and Remote Sensing, 62:1–17, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Foundation model-based multimodal remote sensing data classification.IEEE Transactions on Geoscience and Remote Sensing, 62:1–17, 2024

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:10.454975Z

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Observation dfe8e847-9dce-4bfa-82e1-8efae4fa86ec · outbound

This paper cites Foundation model-based spectral–spatial transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 62:1–25, 2024.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Foundation model-based spectral–spatial transformer for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 62:1–25, 2024

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:10.586130Z

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Observation 3b7e71da-c7cd-42fe-bd58-58cdcad32657 · outbound

This paper cites Lee and H.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Lee and H

Reference 52

Resolution: malformed identifier; no resolver link, observed 2026-08-04T13:38:10.727803Z

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Observation 7b2b8339-bacd-48bb-8940-cba9042393e9 · outbound

This paper cites SVD based initialization: a head start for nonnegative matrix factorization.Pattern Recognition, 41(4):1350–1362, 2008.

RamanPFN: learning from Raman spectral structure with a tabular foundation model SVD based initialization: a head start for nonnegative matrix factorization.Pattern Recognition, 41(4):1350–1362, 2008

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-04T13:38:10.849409Z

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Observation b42b2cb8-f825-40ab-953b-d4db20ca389d · outbound

This paper cites Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization

Reference 54

Resolution: verified exact; doi, observed 2026-08-04T13:38:20.571298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f66c393d-562e-4e45-9ef1-624256b1b431 · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.054384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc581b41-80d3-405d-a05e-10dd3564e6eb · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.145826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fc17e9-de05-40bd-a502-1531ced2a9f0 · outbound

This paper cites ReZero is all you need: fast convergence at large depth.

RamanPFN: learning from Raman spectral structure with a tabular foundation model ReZero is all you need: fast convergence at large depth

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.216901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e65afb4-45d1-4f65-ba83-23f6f6042420 · outbound

This paper cites Random forests.Machine Learning, 45(1):5–32, 2001.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Random forests.Machine Learning, 45(1):5–32, 2001

Reference 58

Resolution: malformed identifier; no resolver link, observed 2026-08-04T13:38:11.355026Z

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Unavailable: canonical work link unavailable.

Observation f779fccf-c77d-4026-baac-c52cfee4e878 · outbound

This paper cites TabM: advancing tabular deep learning with parameter-efficient ensembling.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabM: advancing tabular deep learning with parameter-efficient ensembling

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.456603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbadee68-5086-493f-b5f9-b8186df748b6 · outbound

This paper cites Revisiting nearest neighbor for tabular data: a deep tabular baseline two decades later.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Revisiting nearest neighbor for tabular data: a deep tabular baseline two decades later

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.508386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5843a18b-5bdb-4e4d-bee1-2929ea852c8a · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:11.090852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca28e7c-3153-411a-968e-d1251f19e0f8 · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.707820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd843284-4464-4555-8715-ab26f75f7c45 · outbound

This paper cites an unresolved cited work.

RamanPFN: learning from Raman spectral structure with a tabular foundation model Unresolved cited work

Reference 2026

Resolution: verified exact; doi, observed 2026-08-04T13:38:21.121218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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