RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy | Paper Citation Record

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This paper cites Vibrational spectroscopy and its future applications in microbiology.Applied Spectroscopy Reviews, 58(2):132–158.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Vibrational spectroscopy and its future applications in microbiology.Applied Spectroscopy Reviews, 58(2):132–158

Reference 1

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This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 2

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Observation bd76e8f6-98ef-4f81-8ad7-5731e744dfc7 · outbound

This paper cites The role of raman spectroscopy in biopharmaceuticals from development to manufacturing.Analytical and Bioanalytical Chemistry, 414(2):969–991.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy The role of raman spectroscopy in biopharmaceuticals from development to manufacturing.Analytical and Bioanalytical Chemistry, 414(2):969–991

Reference 3

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Observation ab98d9a7-98dd-4fd6-bc97-0888b167b4db · outbound

This paper cites Rapid identification of pathogenic bacteria using raman spectroscopy and deep learning.Nature communications, 10 (1):4927.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Rapid identification of pathogenic bacteria using raman spectroscopy and deep learning.Nature communications, 10 (1):4927

Reference 4

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Observation 84ac613a-a383-4b70-8842-d80b60a7d038 · outbound

This paper cites An integrated computational pipeline for machine learning-driven diagnosis based on raman spectra of saliva samples.Computers in Biology and Medicine, 171:108028.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy An integrated computational pipeline for machine learning-driven diagnosis based on raman spectra of saliva samples.Computers in Biology and Medicine, 171:108028

Reference 5

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Observation ae60f2c4-6164-467d-9ca3-fdc302ec235e · outbound

This paper cites Open-source raman spectra of chemical compounds for active pharmaceutical ingredient development.Scientific Data, 12(1):498.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Open-source raman spectra of chemical compounds for active pharmaceutical ingredient development.Scientific Data, 12(1):498

Reference 6

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Observation e806dd4c-ca17-4afc-b222-c048f572efef · outbound

This paper cites Inline raman spectroscopy and indirect hard modeling for concentration monitoring of dissociated acid species.Applied spectroscopy, 75(5):506–519.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Inline raman spectroscopy and indirect hard modeling for concentration monitoring of dissociated acid species.Applied spectroscopy, 75(5):506–519

Reference 7

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Observation 91d4e4b0-4311-425e-9540-b490c589d110 · outbound

This paper cites Deep learning for raman spectroscopy: A review.Analytica, 3(3):287–301.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Deep learning for raman spectroscopy: A review.Analytica, 3(3):287–301

Reference 8

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Observation 249b15a9-4e40-45db-b401-9dc26f480361 · outbound

This paper cites TabArena: A Living Benchmark for Machine Learning on Tabular Data.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabArena: A Living Benchmark for Machine Learning on Tabular Data

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.977439Z

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Observation 6b25a774-2a41-4345-8f07-e815a428e636 · outbound

This paper cites TALENT: A tabular analytics and learning toolbox.Journal of Machine Learning Research, 26(226):1–16.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TALENT: A tabular analytics and learning toolbox.Journal of Machine Learning Research, 26(226):1–16

Reference 10

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Observation d9624bb5-beee-4e09-bef8-b093a3aed22d · outbound

This paper cites The ucr time series archive.IEEE/CAA Journal of Automatica Sinica, 6(6):1293–1305.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy The ucr time series archive.IEEE/CAA Journal of Automatica Sinica, 6(6):1293–1305

Reference 11

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Observation a4fb4fc2-b8c2-433b-9f02-14da25d83d53 · outbound

This paper cites The UEA multivariate time series classification archive, 2018.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy The UEA multivariate time series classification archive, 2018

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:08.004344Z

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Observation e243a79e-4c52-4f68-b1b3-cc61c9d35085 · outbound

This paper cites Artificial intelligence-powered raman spectroscopy through open science and fair principles.ACS nano, 19(44):38189–38218.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Artificial intelligence-powered raman spectroscopy through open science and fair principles.ACS nano, 19(44):38189–38218

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.164879Z

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Observation 41f86617-4b27-471f-bce7-cb1b535adeb6 · outbound

This paper cites The fair guiding principles for scientific data management and stewardship.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy The fair guiding principles for scientific data management and stewardship

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.172203Z

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Observation f58c9e0f-7453-4050-9d02-1d8dd3698bfe · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.534697Z

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Observation 54f4e234-257c-4d73-98d5-f9cfe923403d · outbound

This paper cites Convolutional neural networks as a tool for raman spectral mineral classification under low signal, dusty mars conditions.Earth and Space Science, 9(10):e2021EA002125.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Convolutional neural networks as a tool for raman spectral mineral classification under low signal, dusty mars conditions.Earth and Space Science, 9(10):e2021EA002125

Reference 16

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Observation 53d8f7f6-d434-4f8c-99d4-5877bf11cdc8 · outbound

This paper cites Schuetzke, N.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Schuetzke, N

Reference 17

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.536996Z

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Observation cb703781-fb8f-4aa0-b5f5-edcf0c354d77 · outbound

This paper cites Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification.PNAS Nexus, 3(8): pgae268.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification.PNAS Nexus, 3(8): pgae268

Reference 18

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.547055Z

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Observation ff89df4e-e3c2-4b5d-811e-12229ff5278b · outbound

This paper cites Ramanspy: An open-source python package for integrative raman spectroscopy data analysis.Analytical chemistry, 96(21):8492–8500.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Ramanspy: An open-source python package for integrative raman spectroscopy data analysis.Analytical chemistry, 96(21):8492–8500

Reference 19

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Observation 6d06e099-09ce-4898-afbf-28f5c95505a9 · outbound

This paper cites Byrne, and David Pérez-Guaita.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Byrne, and David Pérez-Guaita

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-09T21:38:30.532382Z

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Observation c6d677f2-4b83-402b-ac3f-4af0b964ca6b · outbound

This paper cites Deep learning for raman spectroscopy: Benchmarking models for upstream bioprocess monitoring.Measurement, page 118884.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Deep learning for raman spectroscopy: Benchmarking models for upstream bioprocess monitoring.Measurement, page 118884

Reference 21

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Observation b380757e-d6f9-4207-bf49-9ce7617b76e5 · outbound

This paper cites Nicolas Cruz Bournazou.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Nicolas Cruz Bournazou

Reference 22

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Observation 717fb85d-2b7d-4053-b43d-282cbc270bfe · outbound

This paper cites Lilek et al.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Lilek et al

Reference 23

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.544537Z

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Observation 7ec04830-cdad-444e-8172-08f04e5f9483 · outbound

This paper cites Spectrumworld: Artificial intelligence foundation for spectroscopy.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Spectrumworld: Artificial intelligence foundation for spectroscopy

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Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.958681Z

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Observation be83c27c-42a7-48f5-9a00-baf744787fe0 · 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.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling.Nature Machine Intelligence, 7 (5):743–757

Reference 25

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Observation 84ed250d-f4a0-41c2-a406-f158839739a3 · outbound

This paper cites Benchmarking Deep Learning Models for Raman Spectroscopy Across Open-Source Datasets.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Benchmarking Deep Learning Models for Raman Spectroscopy Across Open-Source Datasets

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-29T02:24:14.201985Z

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Observation f14bf649-181a-4413-85db-45eac7983a79 · outbound

This paper cites Raman-enabled predictions of pro- tein content and metabolites in biopharmaceutical saccharomyces cerevisiae fermentations.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Raman-enabled predictions of pro- tein content and metabolites in biopharmaceutical saccharomyces cerevisiae fermentations

Reference 27

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Observation 06501709-1bb8-4dbd-bb5c-45d72f778e40 · outbound

This paper cites Combining mechanistic modeling and raman spectroscopy for monitoring antibody chromatographic purification.Processes, 7(10): 683.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Combining mechanistic modeling and raman spectroscopy for monitoring antibody chromatographic purification.Processes, 7(10): 683

Reference 28

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Observation f31cc229-3906-4c51-808f-993e1fa91b2e · outbound

This paper cites Soft modeling: the basic design and some extensions.Systems under indirect observation, Part II, 2:36–37.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Soft modeling: the basic design and some extensions.Systems under indirect observation, Part II, 2:36–37

Reference 29

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Observation 03d6e640-c30f-46fc-b727-c4ad15268c14 · outbound

This paper cites Support-vector networks.Machine learning, 20(3): 273–297.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Support-vector networks.Machine learning, 20(3): 273–297

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Observation e9f0cac5-c040-43ab-b0fe-1a545d3a4eed · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Imagenet: A large- scale hierarchical image database

Reference 31

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Observation 983d4ff1-45a6-4c4c-bdee-0cb5218725c9 · outbound

This paper cites Glue: A multi-task benchmark and analysis platform for natural language understanding.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Glue: A multi-task benchmark and analysis platform for natural language understanding

Reference 32

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Observation c2faa756-c06f-4cd1-8953-7359815b55fb · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Why do tree-based models still outperform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520

Reference 33

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Observation c9dc281c-4ec5-40c1-8deb-21d363ee0a80 · outbound

This paper cites Walter de Gruyter GmbH & Co KG.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Walter de Gruyter GmbH & Co KG

Reference 34

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Observation 62f74740-8e7f-4d2f-82b6-4e4b78b3da02 · outbound

This paper cites CARTE: Pretraining and Transfer for Tabular Learning.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy CARTE: Pretraining and Transfer for Tabular Learning

Reference 35

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Observation 1577594e-4499-4b24-80e0-646c96ccf321 · outbound

This paper cites Table Foundation Models: on knowledge pre-training for tabular learning.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Table Foundation Models: on knowledge pre-training for tabular learning

Reference 36

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Observation dd84e2f4-7077-4219-ace5-d9fa94019fd5 · outbound

This paper cites Rapid identification of staphylococci by raman spectroscopy.Scientific reports, 7(1):14846.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Rapid identification of staphylococci by raman spectroscopy.Scientific reports, 7(1):14846

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Observation 7e519b70-6cb5-460f-8f66-d5862ba1b3f7 · outbound

This paper cites How to pre-process raman spectra for reliable and stable models?Analytica chimica acta, 704(1-2): 47–56.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy How to pre-process raman spectra for reliable and stable models?Analytica chimica acta, 704(1-2): 47–56

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.089460Z

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Observation 578d2b5e-1cb6-4cad-9aa6-6c973fdad7af · outbound

This paper cites Deep convolutional neural networks for raman spectrum recognition: a unified solution.Analyst, 142(21):4067–4074.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Deep convolutional neural networks for raman spectrum recognition: a unified solution.Analyst, 142(21):4067–4074

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.068433Z

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Observation 6192cae8-ad75-43c7-a375-834c5d3cf8af · outbound

This paper cites Scale-adaptive deep model for bacterial raman spectra identification.IEEE Journal of Biomedical and Health Informatics, 26(1):369–378.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Scale-adaptive deep model for bacterial raman spectra identification.IEEE Journal of Biomedical and Health Informatics, 26(1):369–378

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.071865Z

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Observation c903ea82-483d-410b-9234-cc03d5d31bef · outbound

This paper cites Ramannet: a generalized neural network architecture for raman spectrum analysis.Neural Computing and Applications, 35(25):18719–18735.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Ramannet: a generalized neural network architecture for raman spectrum analysis.Neural Computing and Applications, 35(25):18719–18735

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.061462Z

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Observation e5df74e1-00d4-433e-895b-c2664893b768 · outbound

This paper cites Ramanformer: A transformer-based quantification approach for raman mixture components.ACS omega, 9(22):23241–23251.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Ramanformer: A transformer-based quantification approach for raman mixture components.ACS omega, 9(22):23241–23251

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.058306Z

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Observation 7a38f11b-cb27-49d7-bf45-47a89c00def2 · outbound

This paper cites Deep learning- based raman spectroscopy qualitative analysis algorithm: A convolutional neural network and transformer approach.Talanta, 275:126138.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Deep learning- based raman spectroscopy qualitative analysis algorithm: A convolutional neural network and transformer approach.Talanta, 275:126138

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.064802Z

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Observation 4527309a-f863-4201-a0fe-e90b4c92f497 · outbound

This paper cites A self-supervised learning method for raman spectroscopy based on masked autoencoders.Expert Systems with Applications, page 128576.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy A self-supervised learning method for raman spectroscopy based on masked autoencoders.Expert Systems with Applications, page 128576

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.074899Z

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Observation d6ce0e42-d3e5-469c-8973-8e660ed0423e · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification problems in a second.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Tabpfn: A transformer that solves small tabular classification problems in a second

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.077949Z

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Observation f9d56a5b-1e9e-4aab-8d54-56369dbcb5d5 · outbound

This paper cites Accurate predictions on small data with a tab- ular foundation model.Nature, 637(8045):319–326.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Accurate predictions on small data with a tab- ular foundation model.Nature, 637(8045):319–326

Reference 46

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.542252Z

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 05c55054-0603-465b-a2e7-cc60bdfebb93 · outbound

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

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabICL: A tabular foundation model for in-context learning on large data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.044662Z

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 6b7f8a15-ff00-4b01-b883-45ec99f23b29 · outbound

This paper cites TabICLv2: A better, faster, scalable, and open tabular foundation model.arXiv preprint arXiv:2602.11139.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabICLv2: A better, faster, scalable, and open tabular foundation model.arXiv preprint arXiv:2602.11139

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.970991Z

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 bcf709e4-1d8f-439b-aba4-90bee613c38b · outbound

This paper cites Rocket: exceptionally fast and accurate time series classification using random convolutional kernels.Data Mining and Knowledge Discovery, 34(5):1454–1495.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Rocket: exceptionally fast and accurate time series classification using random convolutional kernels.Data Mining and Knowledge Discovery, 34(5):1454–1495

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.048230Z

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 cd22848e-9f64-456b-a1b0-cb9a7342a4c5 · outbound

This paper cites Hive-cote 2.0: a new meta ensemble for time series classification.Machine Learning, 110(11):3211–3243.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Hive-cote 2.0: a new meta ensemble for time series classification.Machine Learning, 110(11):3211–3243

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.054675Z

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 8e31b622-0b4f-4f67-8c23-7cc2373ba5cb · outbound

This paper cites Massspecgym: A benchmark for the discovery and identification of molecules.Advances in Neural Information Processing Systems, 37:110010–110027.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Massspecgym: A benchmark for the discovery and identification of molecules.Advances in Neural Information Processing Systems, 37:110010–110027

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.041412Z

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 67b9bb50-66d8-4e8f-9511-3cc5d77d94e4 · outbound

This paper cites Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts.Nature Computational Science, 5(4):292–300.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts.Nature Computational Science, 5(4):292–300

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.036689Z

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 983725f7-9895-4718-8cb6-65bf311a4a1d · outbound

This paper cites In-line monitoring of microgel synthesis: flow versus batch reactor.Organic Process Research & Development, 25(9):2039–2051.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy In-line monitoring of microgel synthesis: flow versus batch reactor.Organic Process Research & Development, 25(9):2039–2051

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.051505Z

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 b7c94a32-ef16-4bcd-a79e-3e574c58e933 · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-26T00:01:24.081229Z

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 6ab65899-f67f-43d4-8f98-9704740c7cd3 · outbound

This paper cites Open raman spectral library for biomolecule identification.Chemometrics and Intelligent Laboratory Systems, 264:105476.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Open raman spectral library for biomolecule identification.Chemometrics and Intelligent Laboratory Systems, 264:105476

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.093027Z

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 eb75e834-2dd9-4ff8-8c6e-ee99b5210935 · outbound

This paper cites Dataset of raman and surface-enhanced raman spectroscopy spectra of illicit adulterants added to dietary supplements.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Dataset of raman and surface-enhanced raman spectroscopy spectra of illicit adulterants added to dietary supplements

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.127586Z

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 6a1bde80-3f9b-4f8c-bfea-ef990054ccf7 · outbound

This paper cites Transfer-learning-based raman spectra identification.Journal of Raman Spectroscopy, 51 (1):176–186.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Transfer-learning-based raman spectra identification.Journal of Raman Spectroscopy, 51 (1):176–186

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.168656Z

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 25e50d53-f7ed-4354-a844-7cfa14785547 · outbound

This paper cites PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.910134Z

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 9a619f90-fb57-446e-9b57-33b5f930565e · outbound

This paper cites Revisiting deep learning models for tabular data.Advances in neural information processing systems, 34: 18932–18943.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Revisiting deep learning models for tabular data.Advances in neural information processing systems, 34: 18932–18943

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.022375Z

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 18b17b5b-a12f-4efd-95bb-895b932b30ec · outbound

This paper cites Rezero is all you need: Fast convergence at large depth.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Rezero is all you need: Fast convergence at large depth

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.025598Z

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 9c222e98-c6d9-427c-974f-52e022217ac4 · outbound

This paper cites Is deep learning finally better than decision trees on tabular data?.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Is deep learning finally better than decision trees on tabular data?

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.900090Z

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 92ecc927-c506-4830-98f0-75312683b5c1 · outbound

This paper cites Coatnet: Marrying convolution and attention for all data sizes.Advances in neural information processing systems, 34:3965–3977.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Coatnet: Marrying convolution and attention for all data sizes.Advances in neural information processing systems, 34:3965–3977

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.014401Z

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 442401f1-816e-406e-af5b-55a97ac990f7 · outbound

This paper cites Mitra: Mixed synthetic priors for enhancing tabular foundation models.arXiv preprint arXiv:2510.21204, 2025b.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Mitra: Mixed synthetic priors for enhancing tabular foundation models.arXiv preprint arXiv:2510.21204, 2025b

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.989231Z

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 7a75b104-47e9-4ace-853d-b511c15bf1dd · outbound

This paper cites TabDPT: Scaling tabular foundation models on real data.arXiv preprint arXiv:2410.18164.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabDPT: Scaling tabular foundation models on real data.arXiv preprint arXiv:2410.18164

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.917910Z

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 b14f14fd-b538-4784-bf7f-3c40c8355aba · outbound

This paper cites TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:21:07.926840Z

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 89e4f3af-684b-4cb3-bd56-af83ae6830bf · outbound

This paper cites Classification of deep-sea cold seep bacteria by transformer combined with raman spectroscopy.Scientific Reports, 13(1):3240.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Classification of deep-sea cold seep bacteria by transformer combined with raman spectroscopy.Scientific Reports, 13(1):3240

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.018136Z

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 2447676b-643e-4b07-9ae0-402fdd3f5480 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

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 1c212300-48d6-4640-85d4-818028255034 · outbound

This paper cites TabRepo: A large scale repository of tabular model evalua- tions and its AutoML applications.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy TabRepo: A large scale repository of tabular model evalua- tions and its AutoML applications

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.029514Z

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 1323a336-25a0-4135-8b40-9f40ad169f1a · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.Journal of Machine learning research, 7(Jan):1–30.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Statistical comparisons of classifiers over multiple data sets.Journal of Machine learning research, 7(Jan):1–30

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.999248Z

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 94225840-a9ef-40d0-a1a9-06d9959d40a8 · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-05-26T00:01:24.010450Z

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 0f44b8d8-2a7d-4498-9653-af53219e089b · outbound

This paper cites Learned Publishing , volume =.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Learned Publishing , volume =

Reference 71

Resolution: metadata mismatch; doi, observed 2026-05-09T21:38:30.528830Z

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 5ab421d3-ca6f-4493-b4bc-80e4de61a332 · outbound

This paper cites The proposed uscf rating system, its development, theory, and applications.Chess life, 22(8):242–247.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy The proposed uscf rating system, its development, theory, and applications.Chess life, 22(8):242–247

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.003179Z

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 40e83690-445d-4dde-a980-8dd398ac6a36 · outbound

This paper cites Journal of Open Source Software5(48), 2173 (2020).

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Journal of Open Source Software5(48), 2173 (2020)

Reference 73

Resolution: verified exact; doi, observed 2026-05-09T21:38:30.539437Z

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 c18241f4-3016-4622-bcbc-72b5cf94d063 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Xception: Deep learning with depthwise separable convolutions

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.975856Z

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 30909bce-95ac-4f64-9d95-ad9344cd2ad7 · outbound

This paper cites A new ecoc algorithm for multiclass microarray data classification.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy A new ecoc algorithm for multiclass microarray data classification

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.979254Z

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 26cf6dfe-80d7-40b4-9690-48ed39a9f1e9 · outbound

This paper cites A setup for automatic raman measurements in high-throughput experimentation.Biotechnology and Bioengineering, 122 (10):2751–2769.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy A setup for automatic raman measurements in high-throughput experimentation.Biotechnology and Bioengineering, 122 (10):2751–2769

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.960784Z

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 b34883ed-e3b1-4406-ae4a-aeb5300eb1b2 · outbound

This paper cites Application of green analytical chemistry to a green chemistry process: Magnetic resonance and raman spectroscopic process monitoring of continuous ethanolic fermentation.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Application of green analytical chemistry to a green chemistry process: Magnetic resonance and raman spectroscopic process monitoring of continuous ethanolic fermentation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.964339Z

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 9ba9a3b6-00b5-456d-825c-760e797ba339 · outbound

This paper cites Data augmentation scheme for raman spectra with highly correlated annotations.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Data augmentation scheme for raman spectra with highly correlated annotations

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.982583Z

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 6d33ea44-85ef-43e7-98c9-1c1dbbb69ee2 · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-05-26T00:01:23.954693Z

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 8a21bd47-f673-4366-8c48-17f8512c0fee · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-05-26T00:01:23.967609Z

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 bdf1768e-f10d-4525-9e9e-66e7b21f3cbf · outbound

This paper cites Surface enhanced raman spectroscopy for quantitative analysis: results of a large- scale european multi-instrument interlaboratory study.Analytical chemistry, 92(5):4053–4064.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Surface enhanced raman spectroscopy for quantitative analysis: results of a large- scale european multi-instrument interlaboratory study.Analytical chemistry, 92(5):4053–4064

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.006787Z

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 bddd76cf-4cbe-443f-a453-0186803e9b37 · outbound

This paper cites Identification of synthetic organic pigments: the role of a comprehensive digital raman spectral library.Journal of Raman spectroscopy, 43(11): 1536–1544.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Identification of synthetic organic pigments: the role of a comprehensive digital raman spectral library.Journal of Raman spectroscopy, 43(11): 1536–1544

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:24.032988Z

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 d70d7eb3-020e-4691-b1c6-f9e26b61a371 · outbound

This paper cites Raman spectra and surface changes of microplastics weathered under natural environments.Science of the Total Environment, 739:139990.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Raman spectra and surface changes of microplastics weathered under natural environments.Science of the Total Environment, 739:139990

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.948877Z

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 aefdc29e-e5c6-449a-a193-d3e411738f4a · outbound

This paper cites an unresolved cited work.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-05-26T00:01:23.951978Z

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 864a6178-ddf4-40fd-9b41-22d4d8fe5dd8 · outbound

This paper cites Differentiation of advanced generation mutant wheat lines: Conventional techniques versus raman spectroscopy.Frontiers in Plant Science, 14:1116876.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Differentiation of advanced generation mutant wheat lines: Conventional techniques versus raman spectroscopy.Frontiers in Plant Science, 14:1116876

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.939507Z

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 df14c789-4313-4876-8b4d-e6c5bd11d39e · outbound

This paper cites Use of raman spectroscopy to screen diabetes mellitus with machine learning tools.Biomedical Optics Express, 9(10):4998–5010.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Use of raman spectroscopy to screen diabetes mellitus with machine learning tools.Biomedical Optics Express, 9(10):4998–5010

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.932125Z

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 e1f693b4-83d6-4502-a129-108fcc30d037 · outbound

This paper cites Fused raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.Scientific Reports, 12(1): 18464.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Fused raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.Scientific Reports, 12(1): 18464

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.945462Z

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 4984951c-ded0-438e-8cac-7a689a500d6b · outbound

This paper cites An efficient label-free analyte detection algorithm for time-resolved spectroscopy.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy An efficient label-free analyte detection algorithm for time-resolved spectroscopy

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:08.011758Z

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 a1890699-237d-439f-b75e-aa711788777d · outbound

This paper cites Surface-enhanced raman spectroscopy enables highly accurate identification of different brands, types and colors of hair dyes.Talanta, 251:123762.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Surface-enhanced raman spectroscopy enables highly accurate identification of different brands, types and colors of hair dyes.Talanta, 251:123762

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.914980Z

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 9da5e227-228b-4943-8bb5-913d88c7213c · outbound

This paper cites Nonlinear manifold learning determines microgel size from raman spectroscopy.AIChE Journal, 70(10):e18494.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Nonlinear manifold learning determines microgel size from raman spectroscopy.AIChE Journal, 70(10):e18494

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.919431Z

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 742ee74b-f821-4620-9184-7196dc9284c4 · outbound

This paper cites Data-driven product-process optimization of n-isopropylacrylamide microgel flow- synthesis.Chemical Engineering Journal, 479:147567.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Data-driven product-process optimization of n-isopropylacrylamide microgel flow- synthesis.Chemical Engineering Journal, 479:147567

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.925802Z

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 3cce7328-1e65-40a0-afe9-02d11d6a3509 · outbound

This paper cites Limitations.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Limitations

Reference 92

Resolution: malformed identifier; raw_fallback, observed 2026-05-26T00:01:23.936277Z

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 d9c0a16c-182a-49b9-9d18-ff737dbeaee3 · outbound

This paper cites bioprocess_substrates.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy bioprocess_substrates

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.942271Z

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 29eb9f14-0580-4d2f-adbf-9edffc1a6f86 · outbound

This paper cites Outlier results trigger manual inspection of the submitted code or weights; models with confirmed irregularities are flagged on a separate leaderboard.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy Outlier results trigger manual inspection of the submitted code or weights; models with confirmed irregularities are flagged on a separate leaderboard

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.907819Z

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 b5e50c2a-f3e4-4cad-81f8-ba232312d160 · outbound

This paper cites gold nanourchins.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy gold nanourchins

Reference 95

Resolution: malformed identifier; raw_fallback, observed 2026-05-26T00:01:23.904593Z

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 a42650a1-97c0-4d98-a862-d10fceb74fb5 · outbound

This paper cites aureusstrains for antibiotic susceptibility classification.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy aureusstrains for antibiotic susceptibility classification

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T00:01:23.911556Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers