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Paper Citation Record · LEDGER

Bandwidth Selection in Kernel Density Estimation for Model Calibration

As of 18 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 0 inbound Pith citation observations for arXiv:2606.29925.

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

pith.paper-citation-record.v1
2606.29925 v1

Coverage vector

measured 100 of 115 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:48:52.228289Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 115 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved93
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64943627-fca2-48bc-82ae-6a31af3a0d20 · outbound

This paper cites 1999 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1999 , publisher=

Reference 1

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:083e28e1d234917707c3a3111e4720fa148ac522888879753e5fe601fe62ceb8

Observation 2c896841-7991-43d9-9115-f4ad8e4da8b2 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 2

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Observation 25056816-5028-4c93-8ea2-a7bb2819e0c1 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 3

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Observation da77312d-dfe5-4dad-b472-76428f99b743 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Transactions on Machine Learning Research , year=

Reference 4

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Observation 9f724066-baae-46ee-a327-21743fa4047c · outbound

This paper cites 1999 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1999 , publisher=

Reference 5

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Observation 4c846c9a-a3a1-4a11-9730-de39bee2ac5d · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , pages=

Reference 6

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Observation b13a6d9d-9cb1-48f3-b987-0b0c91e83f72 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Journal of Machine Learning Research , volume=

Reference 7

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Observation 5b2cf4de-b920-4c47-8d31-ac4c26572dd0 · outbound

This paper cites The 22nd international conference on artificial intelligence and statistics , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The 22nd international conference on artificial intelligence and statistics , pages=

Reference 8

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Observation 4428a9be-a7df-4839-8acc-66e3db242031 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Learning Representations , year=

Reference 9

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Observation 653c7895-c434-43b9-aade-825ad70c03cd · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Eleventh International Conference on Learning Representations , year=

Reference 10

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Observation e7b4b712-f9c5-4b4f-8e96-d89a19f7075e · outbound

This paper cites 2024 , publisher =.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 2024 , publisher =

Reference 11

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Observation 48a4fb99-0317-45c3-b935-c337f0cac967 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 12

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Observation eaf39f9e-c9e4-4de7-a371-f29cbd530a6a · outbound

This paper cites Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part IV 14 , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part IV 14 , pages=

Reference 13

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Observation 350b86c4-c3d3-402d-a992-d2fe99b92efa · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 14

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Observation 3c281dd8-754f-490c-b505-539027ae38c3 · outbound

This paper cites arXiv e-prints , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration arXiv e-prints , pages=

Reference 15

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Observation 1b5c4f79-24b5-473b-ba76-b7abb3bbd325 · outbound

This paper cites GPT-4 Technical Report.

Bandwidth Selection in Kernel Density Estimation for Model Calibration GPT-4 Technical Report

Reference 16

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Observation 03b94d7c-0e9d-4b66-912c-3269103f31a3 · outbound

This paper cites European Journal of Cancer , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration European Journal of Cancer , volume=

Reference 17

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Observation bd34905d-8aa8-4784-9312-62e8c5b23596 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Learning Representations , year=

Reference 18

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Observation 662c2862-e390-48e5-a587-e78ff5e8d178 · outbound

This paper cites 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) , pages=

Reference 19

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Observation 126d9d65-5cbd-4adf-b761-0ca42384f047 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 20

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Observation ca966636-fbb2-4cea-8dd6-b8bc846551a5 · outbound

This paper cites International Conference on Learning Representations, Virtual conference, May 3-May 7, 2021 , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Learning Representations, Virtual conference, May 3-May 7, 2021 , pages=

Reference 21

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Observation 1b704456-bfd6-43c6-8674-c86344507682 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 22

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Observation bb8b64fb-8c0d-4901-8ff5-afff005ecc5d · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 23

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Observation c442bc76-53c8-4813-83be-4cc88496e515 · outbound

This paper cites Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I 15 , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I 15 , pages=

Reference 24

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Observation b2202a7d-f498-4053-af8f-aca3f22a9421 · outbound

This paper cites Reliability, Sufficiency, and the Decomposition of Proper Scores , journal =.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Reliability, Sufficiency, and the Decomposition of Proper Scores , journal =

Reference 25

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Observation 8b653689-989c-4090-861a-febeee635345 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in Neural Information Processing Systems , volume=

Reference 26

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Observation 98f41673-9ac3-4972-af8f-8740417330cd · outbound

This paper cites Pattern Recognition Letters , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Pattern Recognition Letters , year=

Reference 27

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Observation 06d0cb69-df45-48f5-8933-2b73fe584813 · outbound

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Bandwidth Selection in Kernel Density Estimation for Model Calibration , author=

Reference 28

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Observation 2bd532ef-5cb0-405b-8f50-e28e06347abc · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Machine Learning , YEAR =

Reference 29

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Observation efa5340d-ee66-4c53-b048-c9b09461bbe0 · outbound

This paper cites International conference on machine learning , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International conference on machine learning , pages=

Reference 30

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Observation 099902e2-343c-437d-801e-ae0e27f76d79 · outbound

This paper cites 2009 , author =.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 2009 , author =

Reference 31

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Observation 09edf256-a456-48f2-b089-36257048027e · outbound

This paper cites doi: https://doi.org/10.1016/0041-5553(67)90040-7.

Bandwidth Selection in Kernel Density Estimation for Model Calibration doi: https://doi.org/10.1016/0041-5553(67)90040-7

Reference 32

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 409969ba-7ac4-435b-a4b1-e8caab8c2ad1 · outbound

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Bandwidth Selection in Kernel Density Estimation for Model Calibration GitHub repository , doi =

Reference 33

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Observation 273d0222-4c1e-4e1a-9fa3-d9175da45b54 · outbound

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Bandwidth Selection in Kernel Density Estimation for Model Calibration Ovcharov , title =

Reference 34

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Observation 87465498-fdce-4dd5-8c84-448e2519d0cf · outbound

This paper cites Better Uncertainty Calibration via Proper Scores for Classification and Beyond , volume =.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Better Uncertainty Calibration via Proper Scores for Classification and Beyond , volume =

Reference 35

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Observation 64c4a8af-5f5b-42b2-961a-313a855ba758 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in Neural Information Processing Systems , volume=

Reference 36

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Observation 41be9db8-7f20-4757-adc0-64bafb266508 · outbound

This paper cites Journal of Multivariate Analysis , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Journal of Multivariate Analysis , volume=

Reference 37

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Observation a8721f68-1b0a-458a-b452-88f489ecd12e · outbound

This paper cites Procedings of the British Machine Vision Conference 2016 , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Procedings of the British Machine Vision Conference 2016 , pages=

Reference 38

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Observation 471bfc3a-a4db-4866-9a4f-796e434c5802 · outbound

This paper cites Nature Medicine , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Nature Medicine , volume=

Reference 39

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Observation 99ef4493-b540-44dc-b119-21e9d83886bd · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in Neural Information Processing Systems , volume=

Reference 40

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Observation e05c0809-a871-4ebe-a567-7eb76bbf687d · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the 35th International Conference on Machine Learning , pages=

Reference 41

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:d8b378cff73b6982af02d0c3e3f764369f0fd7f1a8be42a6b95b29c818a71a72

Observation 9799e09b-746b-4150-a029-f6081d67bbad · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in Neural Information Processing Systems , volume=

Reference 42

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Observation 458cff6e-2ca5-451d-b3f7-a5663c26ba7a · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Transactions on Machine Learning Research , pages=

Reference 43

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Observation cad91d66-f149-43e4-b64c-f74690d3e906 · outbound

This paper cites The Ninth International Conference on Learning Representations (ICLR 2021) , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Ninth International Conference on Learning Representations (ICLR 2021) , year=

Reference 44

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:8149e57cf705127f5710933c9bacabec2bbc7edd3a3f90bcb8bc00c2ecb82f40

Observation 96b3be6e-6435-4223-ba0e-2cb2fc99a76c · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Machine Learning , pages=

Reference 45

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:38d54500b7ea08832469f1653547b84a154bf951e38ac3f6dcf6f43e594c0085

Observation 8523c8df-b417-47e8-a684-af895a04e221 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 46

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:bd879b76404456fef8c9434881a44a14ae1294cd4750029db4a20a2bb53ac498

Observation ae8c995e-82df-41cf-9aca-4a202b08f506 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in Neural Information Processing Systems , volume=

Reference 47

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:6bdc2a8822bc95c2101a95e4f798b4e38b24698d20f00e4616c3cdcb2ddfbd7a

Observation 3dd26aff-59ba-408a-8e8a-fa1805d3ab8c · outbound

This paper cites Nature Medicine , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Nature Medicine , volume=

Reference 48

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:6843cfeea6f00ac028e3bed9122259f5399cd5f82252fee212b739382f3f2b34

Observation c3273a88-68b6-4ed6-8e2f-3b2e3629efde · outbound

This paper cites The Lancet Digital Health , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Lancet Digital Health , volume=

Reference 49

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:02ce5371d3cce588bd93aa6ea5ed46fc30dc17f7655d5611f96c2f949b0f00fd

Observation c68d97d8-14c4-4609-8b07-3dc2e6e06cdc · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 50

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local_arxiv, observed 2026-06-30T07:54:22.238055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:382d09960b20f17cc3d9ae7e0859cfab04c2dd5702d5e5a36cb33f71e4f0fe7a

Observation f64f39e6-89ec-4bcd-b7f8-354136577a24 · outbound

This paper cites Journal of Applied Meteorology and Climatology , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Journal of Applied Meteorology and Climatology , volume=

Reference 51

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:5c52269418dcbffe009759ace2d420c2569dd878ca599a3190b54806fbe06a37

Observation c7a9d64e-c0e7-483d-9da0-559f0d61063d · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 52

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:c8fef3267d6575febeca5e76b9e11051b8819be29dc97e4a1e214eca3ce77b52

Observation 48ce2b36-26d4-4af5-8286-c2accb9aa04d · outbound

This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 2009 IEEE conference on computer vision and pattern recognition , pages=

Reference 53

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:b48c1ed071220d328033d35aa975e1f462bc8eae8f029ccbec6e66a0bd52a967

Observation eca64423-5c16-42f0-9e5a-67d1f0dea7e0 · outbound

This paper cites A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.

Bandwidth Selection in Kernel Density Estimation for Model Calibration A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Reference 54

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verified exact
arxiv_id, observed 2026-06-30T07:54:22.241339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:1961bc36f64be39edb4c7c1f383299b525ed4ff7636fa852151ad196ebe18d15

Observation d1202a43-433c-4405-9647-0ed8b1ddf52f · outbound

This paper cites What classifiers know what they don't?.

Bandwidth Selection in Kernel Density Estimation for Model Calibration What classifiers know what they don't?

Reference 55

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arxiv_id, observed 2026-06-30T07:54:22.244910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:2ad06f0beac12fb55b57f0e8b0a82d29e488d443316ddf12972dc9a8d86df9fd

Observation d51ce57e-ec17-40de-b1c6-66eb1a9686c6 · outbound

This paper cites Statistics , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Statistics , volume=

Reference 56

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:bb5cde93badb9276f8d887c9fd9abbc41191f07f3534d15f992b914de8489237

Observation 0b5ad9da-c5e2-404e-af11-9acf60978df2 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Artificial Intelligence and Statistics , pages=

Reference 57

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:d37c7ea21312257958ac56032ae147074df9f22f8f90afee9471ab9ed5a08670

Observation 23f34c0b-5929-44bf-9772-1ec585ec79e8 · outbound

This paper cites Master's thesis, University of Tront , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Master's thesis, University of Tront , year=

Reference 58

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:2e1c31751ec52e92cd22e6b0841d9e81619bc1f43309a6f2c45a659971f37a58

Observation 1cd81338-ce48-4d1d-919b-a1718fad26ff · outbound

This paper cites Statistics and Computing , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Statistics and Computing , year=

Reference 59

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:cf1bed4cddbd69907bab04032cbfc984d7f61336c565ff637ffc8446ef307e76

Observation 2379a626-9aad-4bec-98f5-4eeae6e7b482 · outbound

This paper cites 1994 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1994 , publisher=

Reference 60

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:c2320bd8f518df76f1b9d67ec6722cc5ebf827aa28f7eaaa31ab38206c285c54

Observation 56ee20c4-b23b-47a6-b99a-5bcbd831f408 · outbound

This paper cites 1987 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1987 , publisher=

Reference 61

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:7745e37a143fb695d60b593ca15fef28e05284e04532cb86bdf918353ca16be2

Observation 3b10731c-0e1e-4d73-b776-3acc12549a70 · outbound

This paper cites 5th International Conference on Learning Representations , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 5th International Conference on Learning Representations , year=

Reference 62

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:2dc1596575dfaeede2319591800e2b1ebb653020a32abb7b21c01cd960373aed

Observation 9aef4fbe-e83a-407c-b7f0-9853bd28565b · outbound

This paper cites IEEE Transactions on information theory , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration IEEE Transactions on information theory , volume=

Reference 63

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:2f8e4beb9e9782e8d448f3ea89954a2bd67e15f310fca8ef793f7a262a088687

Observation 0685505c-5e8f-4e58-a04f-26d820571e48 · outbound

This paper cites 1965 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1965 , publisher=

Reference 64

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:099f149a253ea1224ebf43a27397a815efd15cdfc9ffe92735f24719b00d9a97

Observation 2a77fdce-8e49-42b5-b5b2-3b83ce283d47 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Journal of the American statistical Association , volume=

Reference 65

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:120674d2bdb1fbbb93b4b66d44b12e82e89f587500197bbb734562f0cac1ceb4

Observation da530be5-fd01-4609-97da-63c72ae515d1 · outbound

This paper cites 2018 , publisher=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 2018 , publisher=

Reference 66

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:e1256b8193b070b5d0a31d222baee4f4f1570bba5c91035c2cd8d5e9a7c9cb76

Observation a62d98e8-0e3e-429d-bf08-6eca046aaef2 · outbound

This paper cites 1970 , journal=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration 1970 , journal=

Reference 67

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:90fb262cb9eb194cd9cb7ac88f7916bd3a3d1cbae57cfa9f2be98a5f3fb46205

Observation 9c7b5a44-789a-42ae-b94a-18a8d3b5c86c · outbound

This paper cites Selective Learning: Towards Robust Calibration with Dynamic Regularization.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Selective Learning: Towards Robust Calibration with Dynamic Regularization

Reference 68

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verified exact
arxiv_id, observed 2026-06-30T07:54:22.230243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:49b400af8a2d3bd37d9f308c171548adfbb00a9eb09a1747a34bb6cc31b767eb

Observation 1a2ec06b-0e17-4dd2-88d2-c6aea009b103 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Learning Representations , year=

Reference 69

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:d5375d5724e0944c34d4db60a906b0d9ebe91e4a5859366dc21ca7a8c453f053

Observation a37d8605-5988-40da-ad1f-bf2d46e18e86 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Journal of Machine Learning Research , volume=

Reference 70

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:8dca013813d23c0825c2a7063d5780a0f3967994a313f51cd74c61dc420c5a2e

Observation 0ccbe0b3-c120-456b-8569-14b2d98b8fcf · outbound

This paper cites A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification , booktitle =.

Bandwidth Selection in Kernel Density Estimation for Model Calibration A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification , booktitle =

Reference 71

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:ebceb4e70bcac486ea7a87288fed33d35906912525e3abe8daba6f8aad3a6e16

Observation 96dce7ec-b77e-4117-842a-44e58762fc25 · outbound

This paper cites , author=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration , author=

Reference 72

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:8462f761efa5f5d677d54dfc28b379b63b2a5ed0ca8a633b51587a96d21e2395

Observation 1da00eac-fd40-4235-bcc0-498a86e26dbd · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Learning Representations , year=

Reference 73

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:7bf279164344fb9b172f89e2e313a6953788414bbdb1c7f3ae26cc791ee4a669

Observation a7416e3a-74df-49cb-aa31-5591d925f1cb · outbound

This paper cites International conference on machine learning , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International conference on machine learning , pages=

Reference 74

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:a69518d6ad956c3cfd7bd6ecb86ff51763b8d5db26410f335fa08daa770e67d5

Observation 4a628e8d-86ca-46e9-adc4-5e44c3f624b4 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 75

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:eccf7d802d5504d422ed820b4698b14e7464e47eb0cb0784698be3ef77adebad

Observation b2e4e0e5-643e-4979-aed1-10e94ab5f081 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Machine Learning , pages=

Reference 76

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:4a147ca34ce41b6570ad91565fd67bf38e6379f3e32c7260d3b99268a90e4e8b

Observation 1f2acdb3-d551-4818-8d2e-0ccdf06c422e · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Machine Learning (ICML) , pages =

Reference 77

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:3158f1b036925ab5068ddca6e3580e9a8e24fb4d4595ee6e6cb04449485abb37

Observation 843fce09-a6f4-43bb-aa76-65858a7dab18 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 78

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:fa66c26c448c3e890090db435410df8f434e610571435deb960fbf19d6c87c1f

Observation d9e6c384-5790-4af3-8cf1-d6e78140a818 · outbound

This paper cites International conference on machine learning , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International conference on machine learning , pages=

Reference 79

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:dd7ed0794dffa0c02097de5a92ce13e01dff7bbe45835c0cf0370c7b8b9a5e8d

Observation 883d082a-f711-4746-a204-0aab1ca15d0a · outbound

This paper cites an unresolved cited work.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:7732fb59e19d704b5d846413b644e34992af18aedceab8763e42a513be17955e

Observation cf67576e-6409-4ebf-aab7-0895eaece69d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 81

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Observation 028308e0-a045-4160-a760-4732150022c7 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 82

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:f6febb9d2030654af82cbdb197289a3f627babd084dd792023649ee442ba1340

Observation 508f4156-7873-4fd2-90fb-a1fdd500af58 · outbound

This paper cites international conference on machine learning , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration international conference on machine learning , pages=

Reference 83

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:be9fc37c9fcf2c689d6ceb5f983bef3ddb5002e459558b33022af267f77d7aba

Observation 186defd8-fc54-4161-bd23-e98ceaed62a1 · outbound

This paper cites Sociological Methods & Research , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Sociological Methods & Research , volume=

Reference 84

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Observation 433efbec-8e95-4e5a-b3c3-c94f65bee6ed · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 85

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:b1b6b4ffe011b48e3d7359e5bf3284f67f09950f7785b3581cfffd26a4479473

Observation 65a027f9-4efe-4956-856f-58d18a23091d · outbound

This paper cites Journal of Machine Learning Research , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Journal of Machine Learning Research , volume=

Reference 86

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:9f742db7951276e746369b86fc2eb5e760b0db2d6eabcdc55a13fc9bc87f9700

Observation a68e8712-72aa-4598-9f6a-fe58599c200a · outbound

This paper cites IEEE Transactions on computers , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration IEEE Transactions on computers , volume=

Reference 87

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:42004bdeb390bd9ad53ded498e6e93c46f5f79bd783fbf410c948958db89de54

Observation a4fec6b1-824f-423d-8b11-b7919960dde8 · outbound

This paper cites , author=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration , author=

Reference 88

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:b354769262cf5cbc28668efc29442eec0211a7e68dbe58f016df316d40d49e8f

Observation e620178d-6a43-4bca-aa41-b08b824f1b90 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Twelfth International Conference on Learning Representations , year=

Reference 89

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:0b80c37a52b7ca8d4d265273c4e24ac7a65dad9d95f1a9ecd1b9d0c128d17d02

Observation 543729aa-d08e-458e-91b6-a1122ce65825 · outbound

This paper cites Conference on Learning Theory , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Conference on Learning Theory , pages=

Reference 90

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:a76a2b08f14bddb1aa637e9ac48355cf1159581cc45a167d6ec31406cd121cf1

Observation 1de0b287-56ef-4967-a05b-43b6c5e53879 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Artificial Intelligence and Statistics , pages=

Reference 91

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:218e04c74af8204f18f76aa3c21967f71758f099e77ccc87488539348a572970

Observation 936224a5-0143-4cde-96cb-54098f8f7580 · outbound

This paper cites Fifteenth International Conference on Machine Vision (ICMV 2022) , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Fifteenth International Conference on Machine Vision (ICMV 2022) , volume=

Reference 92

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Observation 8ca1a546-7b57-4a7c-856b-b32af3a26341 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the IEEE international conference on computer vision , pages=

Reference 93

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:ebae2ea705774a3e7d2c9c0c960ee349f716e0f00213b328e0cf48bba11221d5

Observation 8e32551d-cf39-4ba0-ae1e-3f97d5d472e6 · outbound

This paper cites Monthly weather review , volume=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Monthly weather review , volume=

Reference 94

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:77ce991c83a71f39b1a8c28a4d3225ceaea3c15a3a4528759ae841bbda0e6906

Observation 321b8509-aefb-4e65-9863-e9e726dcb459 · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration Advances in neural information processing systems , volume=

Reference 95

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:0026a75cb874583eb754d0a85b2d27954b3ee8513125fa2baf013a67194b2ca1

Observation 5a868610-9096-4a86-bab4-3cf538d120a2 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration The Eleventh International Conference on Learning Representations , year=

Reference 96

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:53e6e2996cd0a1acd5f68f357840419f33f6cbc3c788fb1f73550cdbab768f58

Observation 778c91c8-7d9e-4abd-a32d-03b1e946326a · outbound

This paper cites International Conference on artificial intelligence and statistics , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on artificial intelligence and statistics , pages=

Reference 97

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:9642ff6d07d52745a6af4e7b37fcad469cd186dfbc661fed689111a750ab9df9

Observation 8e99858d-19f0-4587-82b4-a082661784f6 · outbound

This paper cites Optimizing Calibration by Gaining Aware of Prediction Correctness.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Optimizing Calibration by Gaining Aware of Prediction Correctness

Reference 98

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verified exact
arxiv_id, observed 2026-06-30T07:54:22.233020Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:1ba5b4059dd1794fc964bb4c1a8be917ca7efb762d3c61935ea6fea0a085dc13

Observation c15de637-461d-4c02-aaf1-04294f7416ed · outbound

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

Bandwidth Selection in Kernel Density Estimation for Model Calibration International Conference on Machine Learning , pages=

Reference 99

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source=arxiv_source observed=2026-06-30T07:48:52.228289Z digest=sha256:89c3701d2dbe151b0909a798c3aef5e2ae9bd190691188599c3a3c38d964ba25

Observation 98706b97-7d66-44bb-a5d0-66d7cb5ef030 · outbound

This paper cites Proceedings of the 30th ACM International Conference on Multimedia , pages=.

Bandwidth Selection in Kernel Density Estimation for Model Calibration Proceedings of the 30th ACM International Conference on Multimedia , pages=

Reference 100

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