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Paper Citation Record · LEDGER

Learning Distributions from Multiple Data Providers

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.24732.

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

pith.paper-citation-record.v1
2607.24732 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T06:41:27.814774Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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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Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • unresolved39
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External citation measurements

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Outbound references

Observation c28dea94-f12e-40a7-8f1e-96f50ed25839 · outbound

This paper cites Operations Research , volume =.

Learning Distributions from Multiple Data Providers Operations Research , volume =

Reference 1

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Observation a71d6ff6-5170-4f65-bff2-e78b1a7829cf · outbound

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

Learning Distributions from Multiple Data Providers Advances in neural information processing systems , volume=

Reference 2

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Observation 486250d9-435c-42c6-a83d-a237c6deed9f · outbound

This paper cites 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS) , pages=.

Learning Distributions from Multiple Data Providers 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS) , pages=

Reference 3

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Observation 341f212a-8d10-4d6e-a2dd-247d1a4ef6b0 · outbound

This paper cites Textbooks Are All You Need.

Learning Distributions from Multiple Data Providers Textbooks Are All You Need

Reference 4

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Observation 0bcfd44f-3c32-4746-8bf4-65f512374cb4 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Learning Distributions from Multiple Data Providers Training Compute-Optimal Large Language Models

Reference 5

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

Learning Distributions from Multiple Data Providers Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 6

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Learning Distributions from Multiple Data Providers Unresolved cited work

Reference 7

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Learning Distributions from Multiple Data Providers Unresolved cited work

Reference 8

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Observation d07abf22-6ec8-444e-ae9f-c7930ba58dad · outbound

This paper cites Testing Probability Distributions using Conditional Samples , journal =.

Learning Distributions from Multiple Data Providers Testing Probability Distributions using Conditional Samples , journal =

Reference 9

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This paper cites SIAM Journal on Computing , volume =.

Learning Distributions from Multiple Data Providers SIAM Journal on Computing , volume =

Reference 10

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This paper cites Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms , pages =.

Learning Distributions from Multiple Data Providers Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms , pages =

Reference 11

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Observation be1f89f4-38ce-479d-b7f6-d7ffd5549beb · outbound

This paper cites A Survey on Distribution Testing: Your Data is Big.

Learning Distributions from Multiple Data Providers A Survey on Distribution Testing: Your Data is Big

Reference 12

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Observation cbfda233-14cb-48ce-8564-1492ae8dab0a · outbound

This paper cites Optimal mass estimation in the conditional sampling model , booktitle =.

Learning Distributions from Multiple Data Providers Optimal mass estimation in the conditional sampling model , booktitle =

Reference 13

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Learning Distributions from Multiple Data Providers 1959 , publisher=

Reference 14

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Learning Distributions from Multiple Data Providers 2025 , issn =

Reference 15

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Learning Distributions from Multiple Data Providers Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 1 , pages =

Reference 16

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Learning Distributions from Multiple Data Providers and Rosenthal, Jeffrey S

Reference 17

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Learning Distributions from Multiple Data Providers 2014 , publisher=

Reference 18

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Observation 179ebec7-dfa1-4e54-a446-db93668c4ed5 · outbound

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Learning Distributions from Multiple Data Providers A short note on learning discrete distributions

Reference 19

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Learning Distributions from Multiple Data Providers Journal of the American Statistical Association , volume=

Reference 20

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Learning Distributions from Multiple Data Providers 2015 , editor =

Reference 21

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Observation b3c6dfd7-4e5f-484d-996c-18f857eb8d56 · outbound

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Learning Distributions from Multiple Data Providers Proceedings of the 35th International Conference on Machine Learning , pages =

Reference 22

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Learning Distributions from Multiple Data Providers Proceedings of the 36th International Conference on Neural Information Processing Systems , articleno =

Reference 23

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Learning Distributions from Multiple Data Providers Active Ranking with Subset-wise Preferences , booktitle =

Reference 24

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Learning Distributions from Multiple Data Providers Bernstein's inequalities for general Markov chains

Reference 25

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Observation d142f98d-7bb9-4cd7-9907-7bcd25f5459d · outbound

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Learning Distributions from Multiple Data Providers Deduplicating Training Data Makes Language Models Better

Reference 26

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Observation 4dd8b3ed-1487-40ec-9f14-8d8425f519ea · outbound

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Learning Distributions from Multiple Data Providers Position: Will we run out of data? Limits of

Reference 27

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Reference 28

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Learning Distributions from Multiple Data Providers Unresolved cited work

Reference 29

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Learning Distributions from Multiple Data Providers 2013 , isbn =

Reference 30

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Learning Distributions from Multiple Data Providers Terry , journal =

Reference 31

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Learning Distributions from Multiple Data Providers Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 32

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Learning Distributions from Multiple Data Providers The Thirteenth International Conference on Learning Representations , year=

Reference 33

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Learning Distributions from Multiple Data Providers The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 34

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Learning Distributions from Multiple Data Providers Management Science , volume =

Reference 35

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Learning Distributions from Multiple Data Providers Vardi , journal =

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Learning Distributions from Multiple Data Providers Gill and Yehuda Vardi and Jon A

Reference 37

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Learning Distributions from Multiple Data Providers Collaborative PAC Learning , url =

Reference 38

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Learning Distributions from Multiple Data Providers On-Demand Sampling: Learning Optimally from Multiple Distributions , url =

Reference 39

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Learning Distributions from Multiple Data Providers and Lee, Jason , title =

Reference 40

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Learning Distributions from Multiple Data Providers Proceedings of Thirty Seventh Conference on Learning Theory , pages =

Reference 41

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unresolved
no resolver link, observed 2026-07-31T06:41:27.731365Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T06:41:27.731365Z digest=sha256:e6742b03810e03c4986d3c0274febac47142f10797dd3fd4cb1b97b115db743d

Observation 751a6147-6b52-42a3-b7f5-cc990cabb466 · outbound

This paper cites an unresolved cited work.

Learning Distributions from Multiple Data Providers Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T06:41:27.814774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T06:41:27.814774Z digest=sha256:3e6e27f3392320aa4c640859484f0140817285bb0d1ac684b6a385eab9166196

Pith citing papers

No inbound Pith citation observations are available.