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Paper Citation Record · LEDGER

Learning the Pareto Frontier of Predictive Models under Distribution Shift

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.00632.

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

pith.paper-citation-record.v1
2608.00632 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:44:58.841200Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

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  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75416b49-1c43-4ee6-b6cd-1ec094875c33 · outbound

This paper cites Alsentzer and J.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Alsentzer and J

Reference 1

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source=arxiv_source observed=2026-08-04T01:44:55.188437Z digest=sha256:46b5533a4cd51d8fa6297fa51c1d6511959af0e663edbda8d9b7b954343d406c

Observation 45af1903-a4c7-4d30-9233-8f7603c3e6c4 · outbound

This paper cites Science , volume=.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Science , volume=

Reference 2

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Observation 4adf85e3-8e57-4d60-bee9-529f7ff4deb1 · outbound

This paper cites Qwen Technical Report.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Qwen Technical Report

Reference 3

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Observation 179d9a31-dfc1-4165-87a8-ac9873ac65b4 · outbound

This paper cites Annals of the New York Academy of Sciences , volume=.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Annals of the New York Academy of Sciences , volume=

Reference 4

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Observation 3d4631a6-f781-4346-8990-a7af60e6eb08 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Learning the Pareto Frontier of Predictive Models under Distribution Shift On the Opportunities and Risks of Foundation Models

Reference 5

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source=arxiv_source observed=2026-08-04T01:44:55.694615Z digest=sha256:82623777773787e09e5843ea628f80dd662885fe87626ffae2bf25bedb901643

Observation b49ece8b-6c25-4efc-8069-21ae5baf20b5 · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Advances in Neural Information Processing Systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-04T01:44:55.856514Z digest=sha256:328b9ed9dbaad3636813fd21393722b45b9505a69f5fa0febd5659b47b72b395

Observation af827f9d-4cd9-433b-957e-bb737ff37b17 · outbound

This paper cites Deb and A.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Deb and A

Reference 7

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Observation 95d6da0e-96cf-4463-96a5-225bf4872d1d · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Journal of Machine Learning Research , volume=

Reference 8

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Observation 28d8b46b-2fb3-468b-9e62-9d99880a7c04 · outbound

This paper cites Grattafiori and A.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Grattafiori and A

Reference 9

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source=arxiv_source observed=2026-08-04T01:44:56.199455Z digest=sha256:760fb82f507b67830a19471a05c50b4d65449b134ba4315324d7f71def067d2b

Observation e72644f2-fc67-4b4f-93ab-a08dc75b0c2f · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift International Conference on Machine Learning , pages=

Reference 10

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Observation 11ddffc9-7925-4da1-83a4-2cc1097fa0ad · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 11

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Observation 7420919f-a983-4dfe-af29-ca76dfe842b4 · outbound

This paper cites Houlsby and A.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Houlsby and A

Reference 12

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Observation 52ead64e-ae0e-4b02-9e01-c63ef6f3db90 · outbound

This paper cites an unresolved cited work.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Unresolved cited work

Reference 13

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Observation 9c754297-32d0-4233-a6f0-93d26d23567a · outbound

This paper cites Johnson and T.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Johnson and T

Reference 14

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Observation c96262ac-dbb2-4d23-8d83-9bfc571eb06f · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift International Conference on Machine Learning , pages=

Reference 15

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Observation a5e6ab2d-1e23-45e0-9469-82ed1cc1bebc · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 16

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Observation afb0fa32-4f3f-4d44-b502-da5720d196f9 · outbound

This paper cites DeepSeek-V3 Technical Report.

Learning the Pareto Frontier of Predictive Models under Distribution Shift DeepSeek-V3 Technical Report

Reference 17

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source=arxiv_source observed=2026-08-04T01:44:57.488809Z digest=sha256:8d07bad9640bedc9e660a96607a5326ed2787a8f64d6b8f21c0ff0cece76c21a

Observation b2bec737-91a8-45e1-8059-b4120efe0e57 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , Year =.

Learning the Pareto Frontier of Predictive Models under Distribution Shift IEEE Transactions on Knowledge and Data Engineering , Year =

Reference 18

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Observation cf18461e-1272-47ac-b6d6-57b25fa3477e · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Proceedings of the IEEE International Conference on Computer Vision , pages=

Reference 19

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Observation 5a65a0b5-05a0-40c0-8a43-4c95d1b081db · outbound

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Learning the Pareto Frontier of Predictive Models under Distribution Shift 2008 , publisher=

Reference 20

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Observation 7e347641-53cd-4e73-9669-a27889b6b0ca · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Advances in Neural Information Processing Systems , volume=

Reference 21

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Observation c90f7457-c125-4551-9764-ee6acad6fad4 · outbound

This paper cites Nature , volume=.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Nature , volume=

Reference 22

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Observation 2f104086-183e-438f-a340-6672d35fa0f3 · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift International Conference on Machine Learning , pages=

Reference 23

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Observation 0aa59342-c185-4086-81db-694574c6ec6a · outbound

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Learning the Pareto Frontier of Predictive Models under Distribution Shift 2007 , Journal=

Reference 24

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Observation a2e63dd4-376b-4f90-92fb-135a6ba84a08 · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Advances in Neural Information Processing Systems , pages=

Reference 25

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Observation 5ace72d2-493a-48c6-bb81-1b86dd377f2d · outbound

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

Learning the Pareto Frontier of Predictive Models under Distribution Shift Advances in Neural Information Processing Systems , volume=

Reference 26

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Observation e38bcf2b-1096-46aa-96aa-7d906805ff84 · outbound

This paper cites an unresolved cited work.

Learning the Pareto Frontier of Predictive Models under Distribution Shift Unresolved cited work

Reference 27

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Pith citing papers

No inbound Pith citation observations are available.