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Paper Citation Record · LEDGER

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings

As of 19 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2607.11007.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.11007 v3

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

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measured 74 of 74 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

74 of 74 outbound references displayed

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Outbound references

Observation 8bedb196-f734-4e7e-a914-26dfe3c76d03 · outbound

This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 1

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Observation 7b57871f-e5b9-43b3-a8b8-5a653f515f51 · outbound

This paper cites Nature , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Nature , volume=

Reference 2

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Observation 3d6d8289-d9d7-4176-8cac-a7a5596e472b · outbound

This paper cites Transformers Can Do Bayesian Inference.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Transformers Can Do Bayesian Inference

Reference 3

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Observation f04f36d4-2254-418e-b489-c6103af0b766 · outbound

This paper cites Position: The Future of Bayesian Prediction Is Prior-Fitted.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 4

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Observation 84b8e053-19e7-44f3-90c8-38fef5686861 · outbound

This paper cites TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models

Reference 5

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Observation c9b6bdc1-bd10-461b-a521-70993b9b60b3 · outbound

This paper cites TabPFN-3: Technical Report.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings TabPFN-3: Technical Report

Reference 6

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Observation 1909ef5c-d29c-409d-a28b-6d5b6583c618 · outbound

This paper cites and Golestan, Keyvan and Yu, Guangwei and Caterini, Anthony L.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings and Golestan, Keyvan and Yu, Guangwei and Caterini, Anthony L

Reference 7

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Observation 1d9a8809-4e4a-435b-888e-e70834f569b1 · outbound

This paper cites International Conference on Machine Learning , year=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings International Conference on Machine Learning , year=

Reference 8

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Observation 1104da63-2d67-444d-a01c-cd119e8758c4 · outbound

This paper cites Drift-resilient.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Drift-resilient

Reference 9

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Observation c6849c68-5e8b-4cf0-98d7-f5f399448dda · outbound

This paper cites Images as Tables: In-Context Learning with.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Images as Tables: In-Context Learning with

Reference 10

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Observation e124e198-d9c6-4695-b670-c3e1267a8365 · outbound

This paper cites Environmental, Social and Governance Sentiment Analysis on Slovene News: A Novel Dataset and Models.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Environmental, Social and Governance Sentiment Analysis on Slovene News: A Novel Dataset and Models

Reference 11

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This paper cites Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices

Reference 12

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 13

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 14

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This paper cites Towards Pretraining Text Encoders for.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Towards Pretraining Text Encoders for

Reference 15

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This paper cites International Conference on Machine Learning , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings International Conference on Machine Learning , pages=

Reference 16

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This paper cites Proceedings of the 22nd International Conference on Machine Learning , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the 22nd International Conference on Machine Learning , pages=

Reference 17

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Machine Learning , volume=

Reference 18

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This paper cites Global Ecology and Biogeography , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Global Ecology and Biogeography , volume=

Reference 19

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings arXiv preprint arXiv:2601.19944 , year=

Reference 20

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in Large Margin Classifiers , volume=

Reference 21

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This paper cites Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages=

Reference 22

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This paper cites Obtaining calibrated probability estimates from decision trees and naive.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Obtaining calibrated probability estimates from decision trees and naive

Reference 23

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This paper cites Obtaining well calibrated probabilities using.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Obtaining well calibrated probabilities using

Reference 24

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This paper cites Artificial Intelligence and Statistics , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Artificial Intelligence and Statistics , pages=

Reference 25

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Classifier calibration with

Reference 26

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This paper cites Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Reference 27

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This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 28

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in Neural Information Processing Systems , volume=

Reference 30

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings An explanation of in-context learning as implicit

Reference 31

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings International Conference on Machine Learning , pages=

Reference 32

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in Neural Information Processing Systems , volume=

Reference 33

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings International Conference on Machine Learning , pages=

Reference 34

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 35

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Image classification base on

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings A lightweight maize leaf disease recognition using

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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings arXiv e-prints , pages=

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Observation a9ace4d7-6614-452f-abbb-82f949f4b0a7 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 39

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Observation 5b8438cf-e297-4fe3-a698-d1151f7216c1 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

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source=arxiv_source observed=2026-08-02T07:07:58.607027Z digest=sha256:a8dcc79119fb7dce28971599990aa17718b1dfee5a70abbe32c278ce1ab4c194

Observation 685bd407-effa-45b6-813f-fe8608904583 · outbound

This paper cites Sentence-.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Sentence-

Reference 41

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source=arxiv_source observed=2026-08-02T07:07:58.757584Z digest=sha256:6832324559529bf347dda0dedf6bbafc6b6e9deab6db1196ab29401c5dd2a0a2

Observation 5ceb560d-c6d4-4677-aa25-3a571dac1652 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 42

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source=arxiv_source observed=2026-08-02T07:07:58.883920Z digest=sha256:76a3f6c8f056b4fc562f1ff6f92558b4ec6b6b144361afcf7c325e4777d735b8

Observation ee1c04c2-edd3-4544-a28e-fda2f4b47142 · outbound

This paper cites an unresolved cited work.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-02T07:07:59.039355Z digest=sha256:433a409efb9bb0d78058dfda02141f8bc07c9ce822f803ba4f194213a2066914

Observation 3570d8b8-3c63-428a-923a-6fb3d4c8849d · outbound

This paper cites Transactions on Machine Learning Research , year=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Transactions on Machine Learning Research , year=

Reference 44

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source=arxiv_source observed=2026-08-02T07:07:59.143964Z digest=sha256:1a99b81752b96c8a3d13a6e45b7fd85e88b63084080b9502b5d05ea051f2e6fe

Observation b7ff3f59-a6af-4284-86b8-1d96d7a71d97 · outbound

This paper cites ICASSP 2023 -- IEEE International Conference on Acoustics, Speech and Signal Processing , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings ICASSP 2023 -- IEEE International Conference on Acoustics, Speech and Signal Processing , pages=

Reference 45

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source=arxiv_source observed=2026-08-02T07:07:59.253995Z digest=sha256:039e728226428f23257afc6677887fc1b58fb42b3fd6c2637a43cf37e8157624

Observation a0294578-1e52-44c7-8382-50851160b675 · outbound

This paper cites International Conference on Machine Learning , year=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings International Conference on Machine Learning , year=

Reference 46

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source=arxiv_source observed=2026-08-02T07:07:59.424555Z digest=sha256:104e98430974144d7c65b00cd98adb2e1a11f60b09f7c48e6c14680505c87d15

Observation 12984253-a621-45a1-b656-0981cf3fe5d7 · outbound

This paper cites Communications Medicine , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Communications Medicine , volume=

Reference 47

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source=arxiv_source observed=2026-08-02T07:07:59.549144Z digest=sha256:b1956a24b424ca4b5eb59971865bebafaf2ef0dabda8b6d71cddedb829faa3f9

Observation cdc0d57e-129c-4a85-9ca0-f7cdd710b8e0 · outbound

This paper cites Explainability and.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Explainability and

Reference 48

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source=arxiv_source observed=2026-08-02T07:07:59.693684Z digest=sha256:74c483596fab0aa1b0be44849c91441333cadf32b7abdf3514274cbbcba4aa16

Observation ebee8abe-07c1-4ff0-b084-cbde6946e1ed · outbound

This paper cites Journal of the American Statistical Association , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Journal of the American Statistical Association , volume=

Reference 49

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source=arxiv_source observed=2026-08-02T07:07:59.807983Z digest=sha256:5355052b12c6e1eecb75ae243a986da5157cabb6d16c6a5d544b7afa5eda644a

Observation 4f2d693a-3c7d-4d58-af47-8b4e2ab797c8 · outbound

This paper cites Advances in neural information processing systems , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in neural information processing systems , volume=

Reference 50

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source=arxiv_source observed=2026-08-02T07:07:59.940004Z digest=sha256:9020a36ccfbd027623bde155a631dfa950ad2c374ded47bfb8edeba717117f5e

Observation 635e53e8-d914-4ef4-a803-be31ea988772 · outbound

This paper cites 2009 , institution=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings 2009 , institution=

Reference 51

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source=arxiv_source observed=2026-08-02T07:08:00.061097Z digest=sha256:f3762d0a4c9bb2845e42d5fd5d5041af6fb62b47d3515ee4312e56e553ff6c98

Observation ac6d83c6-fca5-4295-b2e7-47545b31e0a2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in Neural Information Processing Systems , volume=

Reference 52

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source=arxiv_source observed=2026-08-02T07:08:00.170955Z digest=sha256:aa01935062ea97356e5ed90afb30a90e275cb5f4adc78094ef78544ea2186ad6

Observation b24b1c1e-b3ce-47d7-95ce-6ddb9c9fc182 · outbound

This paper cites and Branson, S.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings and Branson, S

Reference 53

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source=arxiv_source observed=2026-08-02T07:08:00.243968Z digest=sha256:45e5e87583a89c4b98b2be5aae71e9e770e229aaff35f772c1563334e1906288

Observation 49a80180-52a1-46f7-86aa-4623d2c4a40f · outbound

This paper cites Novel dataset for fine-grained image categorization:.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Novel dataset for fine-grained image categorization:

Reference 54

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source=arxiv_source observed=2026-08-02T07:08:00.286364Z digest=sha256:98ffcf0222d241e56c2b04434a1815f388595e2103c2f61bea31a8c6c1410a48

Observation eff548b2-43b3-4b89-b96a-bfb7584f24ea · outbound

This paper cites Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages=

Reference 55

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source=arxiv_source observed=2026-08-02T07:08:00.364876Z digest=sha256:a5a7ab8b1270ac7880efe8e10572a95344333d911c783d01695cf9d32d0ff0c2

Observation df3f2d2c-14d8-4472-8089-0527e0ff3cdf · outbound

This paper cites Machine Learning Proceedings 1995 , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Machine Learning Proceedings 1995 , pages=

Reference 56

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source=arxiv_source observed=2026-08-02T07:08:00.475131Z digest=sha256:ff5387e1fa50bd835c17fa6e1285d59dcbfb0bf7a8cd8377a4555f961fd5fef7

Observation a5026c74-5b87-4116-bead-66edaf5b4052 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Advances in Neural Information Processing Systems , volume=

Reference 57

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source=arxiv_source observed=2026-08-02T07:08:00.555427Z digest=sha256:30d4b5280d12e8bdb58dee1d3744f900c88348197e470bbe8a65b77cac8815d5

Observation 16ac8848-b6d5-4937-91d8-002bc0b480d1 · outbound

This paper cites Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 58

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source=arxiv_source observed=2026-08-02T07:08:00.638755Z digest=sha256:5b1a0c14420aec1a29ae49f75555a74011c278d431c5bbdc8ed5b80593fb256d

Observation 62cf3b4b-2198-42af-ba76-65ce0db9a58c · outbound

This paper cites Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 59

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no resolver link, observed 2026-08-02T07:08:00.722384Z

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source=arxiv_source observed=2026-08-02T07:08:00.722384Z digest=sha256:c609792bc43112762ad768256b5f006fad98bca01f50a02f104f772c6786d25d

Observation 4ea9db15-0566-402c-81c6-5fa7e0ba2d7e · outbound

This paper cites Decoding emotion in the deep: A systematic study of how.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Decoding emotion in the deep: A systematic study of how

Reference 60

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source=arxiv_source observed=2026-08-02T07:08:00.861225Z digest=sha256:8cfdaf209a3ba5abb3cd1199ef9637a3d09f6be90418e13d5b21d0edb5456bcd

Observation 60faff37-4e99-4aab-9f6a-662f6bf2eac1 · outbound

This paper cites Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , pages=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 61

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source=arxiv_source observed=2026-08-02T07:08:00.953187Z digest=sha256:8b951d7ebdd07d6f4be3a4fe102491a9cc0cd6fc098ad93fbc2d536dcac9e17c

Observation b1234cf8-2262-4a12-8b5d-432337cf69d8 · outbound

This paper cites AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Reference 62

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source=arxiv_source observed=2026-08-02T07:08:01.025317Z digest=sha256:d5d6f7013fda72fc39718ded9bffc4f2907d42c1f57543251511c0187e25f441

Observation 28fb2a0a-ca44-4af6-a1b4-032f9d96f48a · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 63

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source=arxiv_source observed=2026-08-02T07:08:01.106329Z digest=sha256:809ed75e65209ec266780928dfbf3a8154a659e4f5048d0ce6b7687dc741e9be

Observation 5a8f1328-bb24-4970-8b6b-ef5f5a40b445 · outbound

This paper cites an unresolved cited work.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-08-02T07:08:01.194207Z digest=sha256:8517b4e49ff5eb32711b8251d8bae029944b4403ff731f6b75acbd50366d8eb3

Observation 54bca859-b338-4cb9-8a5d-3506d1970c0b · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings IEEE Transactions on Information Theory , volume=

Reference 65

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source=arxiv_source observed=2026-08-02T07:08:01.278600Z digest=sha256:cb6f8f9edbfe0f45649ecc07f9569e9621b69bc3d627ce4d1bea7ae32c9e5035

Observation 86121f04-4af6-442c-bf56-ec162274c666 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Methodological , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Journal of the Royal Statistical Society Series B: Methodological , volume=

Reference 66

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source=arxiv_source observed=2026-08-02T07:08:01.359987Z digest=sha256:03142e62607e0d52d942449a234d85ee089ef19c7b4ed75b3e2ecd22d6a2bcf1

Observation fdd71680-3f6a-4475-8710-3f1d626a5b38 · outbound

This paper cites Machine Learning , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Machine Learning , volume=

Reference 67

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source=arxiv_source observed=2026-08-02T07:08:01.450826Z digest=sha256:e19bfdce40af3ae640badc53b16db620622f15dc10a90345b1e19df9d0889460

Observation 2043c10e-d3ae-41f1-971d-21a563ec32ab · outbound

This paper cites Machine Learning , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Machine Learning , volume=

Reference 68

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source=arxiv_source observed=2026-08-02T07:08:01.513240Z digest=sha256:f7ac4b08e15c555b8e254c108d829b8c58ac3cc21c7d7fa912e3a2c6b2cfe9fb

Observation 242d6591-561b-49fb-bfdd-43ed34f3c5a7 · outbound

This paper cites an unresolved cited work.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-08-02T07:08:01.605873Z digest=sha256:3bec4c39847e90feb3a00f1fb80c32a8263076190554aa9f74e696cb7162d5d7

Observation 8c3d34f8-680e-4228-a282-6b5ac1c94e5d · outbound

This paper cites an unresolved cited work.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-08-02T07:08:01.673915Z digest=sha256:3efaea6f4685a87df7404ebdb2989ab191964ce931f6c9318316eba1cbca326d

Observation 585aaffe-0c34-48a1-b1e7-4cef3ad78878 · outbound

This paper cites an unresolved cited work.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-02T07:08:01.742701Z digest=sha256:23bc9c86ddb2001f7d8fa091c65c38371d7b6c80bca666fc2a3e67119d4f4eb6

Observation bb47d09e-1aa2-448e-ab70-c806b22d3439 · outbound

This paper cites Nature , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Nature , volume=

Reference 72

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source=arxiv_source observed=2026-08-02T07:08:01.850777Z digest=sha256:35e8fdbd40baba3bbc2f9c5cd3f1d80985b2f05b3e6898cf686aab4fbbfbbb11

Observation ada1b60b-28ef-486e-b9cf-4bd4fd94f323 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological) , volume=.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Journal of the Royal Statistical Society: Series B (Methodological) , volume=

Reference 73

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no resolver link, observed 2026-08-02T07:08:01.916516Z

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source=arxiv_source observed=2026-08-02T07:08:01.916516Z digest=sha256:18094ac3d6bb865be0fd48c9220d881bf0d677162ccad14c94fa16fe63e7e2fa

Observation 89d57a05-0878-4aab-b4bf-f77aa1837cba · outbound

This paper cites Does confidence calibration improve conformal prediction?.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Does confidence calibration improve conformal prediction?

Reference 74

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source=arxiv_source observed=2026-08-02T07:08:02.010923Z digest=sha256:a5a7512ca2853cd8fb5777f66fc87643a2917a9e2b3214f791b76e4a675ccaa0

Pith citing papers

No inbound Pith citation observations are available.