Paper Citation Record · LEDGER

Ribbon: Scalable Approximation and Robust Uncertainty Quantification

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2606.27269.

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

pith.paper-citation-record.v1
2606.27269 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T02:00:55.202866Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

54 of 54 outbound references displayed

verified exact1
verified fuzzy0
unresolved52
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ceb08d50-f59c-4429-8927-0063870158c7 · outbound

This paper cites 1986 , publisher=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification 1986 , publisher=

Reference 1

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Observation e26885b8-daad-457e-bb6f-49ff85733994 · outbound

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

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of the American Statistical Association , volume=

Reference 2

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Observation 2d3822c6-954a-4bb5-8d53-58f6fa292fa8 · outbound

This paper cites 2009 , publisher=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification 2009 , publisher=

Reference 3

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Observation ee145d70-2a29-4a70-b8a9-52ae79de4696 · outbound

This paper cites Technometrics , volume=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Technometrics , volume=

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Observation 2a33dbfc-a28d-4a34-82cf-e0314b8aa591 · outbound

This paper cites Technometrics , volume=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Technometrics , volume=

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Observation 4f481ba4-482f-4fbb-914c-6d6366c2aba0 · outbound

This paper cites Annals of Statistics , volume=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Annals of Statistics , volume=

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Observation 6c46c8d4-cccb-4c24-945b-c10aa961b7db · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 1993 , address=

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Observation 626b9a75-ed18-4690-8a9c-a3de3ee6733b · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 1998 , publisher=

Reference 8

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Observation 24521cba-2698-400a-8021-92d5cd912fd3 · outbound

This paper cites Econometrica , volume=.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Econometrica , volume=

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Observation 888aed0a-829b-48e0-ae71-cbdd7a0ceefe · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Econometric Computing with

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Neural Computation , volume=

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Observation 69f82885-653d-44fc-adca-faa5a4c8236e · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Unresolved cited work

Reference 12

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Observation 1fecb1e9-8200-44c6-a5a2-8f8f02d581d9 · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the 32nd International Conference on Machine Learning (ICML) , pages=

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Observation b00e18a2-45b3-4db8-9afb-085053c5d2eb · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the 33rd International Conference on Machine Learning (ICML) , pages=

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Observation adf8653f-bf88-4224-b524-35d89d3adc9e · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 6th International Conference on Learning Representations (ICLR) , year=

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Observation 1a3bbbab-3fad-4766-81d2-a66f2d7f3175 · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the 34th International Conference on Machine Learning (ICML) , pages=

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Observation d570d983-a20c-4c72-a7cd-7d2e0f470274 · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the 33rd International Conference on Neural Information Processing Systems (NeurIPS) , year=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 9th International Conference on Learning Representations (ICLR) , year=

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Observation 9dcf25f8-b438-4fa8-8315-e4c39217bfa0 · outbound

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

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of Machine Learning Research , volume=

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Observation ebed565c-9918-43b3-a1bb-9a9dd222ea6f · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems (NeurIPS) , volume=

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Observation 05e95fe9-fab1-4a73-971a-e36681fa1eb9 · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Unresolved cited work

Reference 21

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Observation 839b71d6-845e-4a28-8723-16be7acafaea · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Learning Representations (ICLR) , year =

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of the American Statistical Association , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems , volume=

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Observation 15e83a8e-1d88-4a76-a53b-7e8c43025888 · outbound

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Information Fusion , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 2024 , edition=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 2013 , publisher=

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This paper cites Two tests for sequential detection of a change-point in a nonlinear model.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification Two tests for sequential detection of a change-point in a nonlinear model

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Annals of Statistics , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Annals of Statistics , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of the Royal Statistical Society: Series B (Methodological) , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of the Royal Statistical Society: Series B (Methodological) , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Constraining the orientation of the spin axes of extrasolar minor bodies 1I/2017 U1 (`Oumuamua) and 2I/Borisov

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Neural Computation , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Learning Representations , year=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the Conference on Uncertainty in Artificial Intelligence , year=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in Neural Information Processing Systems , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification 2005 , publisher=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Journal of the American Statistical Association , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Annals of Statistics , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification International Conference on Machine Learning , pages=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Advances in neural information processing systems , volume=

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Ribbon: Scalable Approximation and Robust Uncertainty Quantification Proceedings of the 38th International Conference on Machine Learning , pages =

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Pith citing papers

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