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Paper Citation Record · LEDGER

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations

As of 5 August 2026, this Paper Citation Record lists 100 of 240 outbound references and 0 inbound Pith citation observations for arXiv:2606.07947.

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

pith.paper-citation-record.v1
2606.07947 v1

Coverage vector

measured 100 of 240 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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 240 outbound references displayed

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  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation e91ebf5a-9354-45f3-9fe9-3e31116c28d5 · outbound

This paper cites Doubly robust estimation of causal effects for random object outcomes with continuous treatments.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Doubly robust estimation of causal effects for random object outcomes with continuous treatments

Reference 1

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Multivariate Analysis , volume=

Reference 2

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations arXiv.org , author =

Reference 3

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Reproducing kernel

Reference 4

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Observation e78bbcc7-30cd-441f-94a5-251a4e82afa4 · outbound

This paper cites Fréchet sufficient dimension reduction for random objects , volume =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Fréchet sufficient dimension reduction for random objects , volume =

Reference 5

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Observation fb129454-a4a7-43f4-aa2d-51725d30d9a8 · outbound

This paper cites Causal inference on distribution functions , volume =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Causal inference on distribution functions , volume =

Reference 6

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Nonlinear sufficient dimension reduction for distribution-on-distribution regression , volume =

Reference 7

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Observation d82d4c93-5ca4-48de-bc4f-0a658127d22e · outbound

This paper cites Doubly robust estimation of causal effects for random object outcomes with continuous treatments , journal =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Doubly robust estimation of causal effects for random object outcomes with continuous treatments , journal =

Reference 8

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Observation 2832f38c-3306-4bf7-be88-ffda12aeb26f · outbound

This paper cites Practical.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Practical

Reference 9

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This paper cites Automatic relevance determination for neural networks , journal =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Automatic relevance determination for neural networks , journal =

Reference 10

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This paper cites Adaptive Gaussian Process Regression for Bayesian inverse problems.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Adaptive Gaussian Process Regression for Bayesian inverse problems

Reference 11

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This paper cites Journal of Statistical Planning and Inference , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Statistical Planning and Inference , author =

Reference 12

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Observation 7fd0a29f-dc17-4590-9260-d71d23715663 · outbound

This paper cites Comparison of different approaches of finding the positive definite metric in pseudo-Hermitian theories.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Comparison of different approaches of finding the positive definite metric in pseudo-Hermitian theories

Reference 13

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations On assessing prior distributions and

Reference 14

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations , year =

Reference 15

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Extraction of attosecond time delay using the soft photon approximation

Reference 16

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 18

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Observation ea675a52-4448-46af-8485-fb31a6d842fb · outbound

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations , Pati , Debdeep D

Reference 19

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Martingale posterior distributions

Reference 20

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Biometrika , volume =

Reference 22

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations doi: 10.1093/biomet/asx010

Reference 23

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of the Royal Statistical Society Series B , author =

Reference 24

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of the Royal Statistical Society Series A: Statistics in Society , author =

Reference 25

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Gutmann, M

Reference 26

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Machine Learning Research , author =

Reference 28

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Machine Learning Research , author =

Reference 29

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Machine Learning Research , author =

Reference 30

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations and Drovandi, Christopher and Frazier, David T

Reference 31

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Jianqing Fan, Han Liu, Qiang Sun, and Tong Zhang

Reference 34

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Biometrika , author =

Reference 40

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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations A view of the

Reference 41

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Observation c39191ec-31cb-4580-bb76-c06fe4a3c1a7 · outbound

This paper cites Li , Bing B.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Li , Bing B

Reference 42

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Observation f5632f63-fbba-4e04-b12c-a792e474dcea · outbound

This paper cites Food Bioscience , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Food Bioscience , author =

Reference 43

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0962c925-e78f-4fa2-a644-018a31976477 · outbound

This paper cites Gut , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Gut , author =

Reference 44

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f2bca394-141e-411f-877c-430a34b8a2f2 · outbound

This paper cites The Annals of Statistics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations The Annals of Statistics , author =

Reference 45

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 12eb218a-e482-4885-b445-3e9dd3234f0c · outbound

This paper cites Journal of Computational and Graphical Statistics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Computational and Graphical Statistics , author =

Reference 46

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8775bfb1-6a59-4aad-9628-12e911df5b4f · outbound

This paper cites Importance.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Importance

Reference 47

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source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:a6c98781f24c0f013d34c1c37f9ba4e1faa7ee2bc83fc666e8ae92085f12ce88

Observation fdad85eb-21fb-48eb-bf35-59a537f80620 · outbound

This paper cites \ Rousseeuw, P J.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations \ Rousseeuw, P J

Reference 48

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Observation 286eb503-9dc7-45fd-91a8-65f1af3f9b4a · outbound

This paper cites , year =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations , year =

Reference 49

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source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:c942e1722334cee47e8eaf7a3200c8d1eda75bdb4f5fcba913efcfaa0a0f9a7e

Observation c65b21f5-5018-4f0d-a79c-7811c7f9f45c · outbound

This paper cites Wasserstein F-tests for Fr\'echet regression on Bures-Wasserstein manifolds.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Wasserstein F-tests for Fr\'echet regression on Bures-Wasserstein manifolds

Reference 50

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arxiv_id, observed 2026-06-27T19:51:12.819230Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:395ced11ca43863cebd5d2023ae4a298e5631ce9701e86c7495e590737c31069

Observation c6be422b-7503-437e-8365-215b9d034cdd · outbound

This paper cites 2021 , pages =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations 2021 , pages =

Reference 51

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source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:6acf0ac173c1e1daffc924633269be14dc3f3bb40c29af10eb0db545a2bbbd24

Observation 43521789-5ec5-4636-9dcd-e3ab092cae14 · outbound

This paper cites World Journal of Methodology , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations World Journal of Methodology , author =

Reference 52

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doi, observed 2026-06-27T19:51:12.787661Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:0fafad6574da0911788e98ca725bcdd6bb4720ce04d07a506960eee9aec28cde

Observation fd96a25e-163f-4b3b-b0dd-d7049b775b25 · outbound

This paper cites arXiv preprint arXiv:2407.11898 , year=.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations arXiv preprint arXiv:2407.11898 , year=

Reference 53

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arxiv_id, observed 2026-06-27T19:51:12.911685Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation bd2da8d1-af51-4487-a985-c7c61317ffbf · outbound

This paper cites Statistical science : a review journal of the Institute of Mathematical Statistics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistical science : a review journal of the Institute of Mathematical Statistics , author =

Reference 54

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verified exact
doi, observed 2026-06-27T19:51:12.902555Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:69e75fa48e5843d25644916d3f1eafb57bcac07d0d27deecdebf48b60c03fb66

Observation 99767e53-4670-4705-bdc3-9af6ce2923bf · outbound

This paper cites The Journal of Experimental Medicine , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations The Journal of Experimental Medicine , author =

Reference 55

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doi, observed 2026-06-27T19:51:12.826286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:515d2e626ad764b40e0a0a8c4f59d210854f34ef8ae81771aa36a231644b524f

Observation 8ad568e5-bd6c-4940-9221-f8582d48df8d · outbound

This paper cites Bioinformatics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Bioinformatics , author =

Reference 56

Resolution
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doi, observed 2026-06-27T19:51:12.778587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:33c062403fc06b195820f7937770e6bc8f27c25303ceeb1c273f009b9bfce1f1

Observation 40bcd8da-cd8b-42f4-937e-dbcd130cef68 · outbound

This paper cites an unresolved cited work.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 57

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:3691287c5bfd03a5e201716c6c5e3a32fa1f088517a63ff143f9abfd5b78b752

Observation 1fe0f787-5937-465d-94fa-221a5a2b3732 · outbound

This paper cites Conditional.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Conditional

Reference 58

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:a62b699568ccfcd3514c1378f33ed874586e5db62c72cee14dad881769ed626a

Observation 34bf2960-7d9b-4a0d-9ae8-ed47d18e2c78 · outbound

This paper cites Sugiyama, T.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Sugiyama, T

Reference 59

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:ea6f0a30717fa2876047436aeda41a933b3aa6aef6536bc1700ab07666b41702

Observation 46db6ce2-cbbd-4d5c-969c-c1557344a5ad · outbound

This paper cites Annals of the Institute of Statistical Mathematics , year =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Annals of the Institute of Statistical Mathematics , year =

Reference 60

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doi, observed 2026-06-27T19:51:12.806461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:77acec1e34e09eed9ba0cb930f76d7b22b83d75b15585a97b16099dd75a2c074

Observation fff28d95-139a-4473-a9b9-543dd566c818 · outbound

This paper cites Hilbert space embeddings of conditional distributions with applications to dynamical systems , isbn =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Hilbert space embeddings of conditional distributions with applications to dynamical systems , isbn =

Reference 61

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verified exact
arxiv_id, observed 2026-06-27T19:51:12.829073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6b427aaf-a330-43ed-817d-ba03aca55422 · outbound

This paper cites IEEE Signal Processing Magazine , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations IEEE Signal Processing Magazine , author =

Reference 62

Resolution
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arxiv_id, observed 2026-06-27T19:51:12.804766Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7f1c019b-53dd-443f-a5dd-77722d74afa7 · outbound

This paper cites Neural-Kernel Conditional Mean Embeddings.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Neural-Kernel Conditional Mean Embeddings

Reference 63

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verified exact
arxiv_id, observed 2026-06-27T19:51:12.900726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:1541a69d92870c1e27fb5fead22a16dd149494fdc3ead966a51acc9ad15afc17

Observation 25323e22-5319-4423-90b4-f73d80fc7ea0 · outbound

This paper cites Hypothesis testing using pairwise distances and associated kernels (with Appendix).

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Hypothesis testing using pairwise distances and associated kernels (with Appendix)

Reference 64

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local_arxiv, observed 2026-06-27T19:51:12.832606Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:15e7ec19e0e34d815ad490ec0ffe99e0563fb4cc36c7db6e2c74c359b967d6bc

Observation f81b31e2-e4be-4ad4-893f-58c88db86999 · outbound

This paper cites Gaussian Process Assisted Active Learning of Physical Laws.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Gaussian Process Assisted Active Learning of Physical Laws

Reference 65

Resolution
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arxiv_id, observed 2026-06-27T19:51:12.776932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:0c5188102652c1384c3350fe8919cdc34982899e976a8572a2664cd269f9b186

Observation a449f1d5-7cee-426c-b5f0-aefd8e5e11be · outbound

This paper cites Taking the human out of the loop: A review of Bayesian optimization.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Taking the human out of the loop: A review of Bayesian optimization

Reference 66

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arxiv_id, observed 2026-06-27T19:51:12.824539Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f654af85-e470-4e5e-817a-9148f4c2104d · outbound

This paper cites Seeger, Gaussian processes for machine learning, Int.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Seeger, Gaussian processes for machine learning, Int

Reference 67

Resolution
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doi, observed 2026-06-27T19:51:12.904288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 91124484-c4ab-4786-b4e4-e657b18bfb2e · outbound

This paper cites an unresolved cited work.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:a45357af7a2cd20ea31f961baa0b64b85915c716ed8a2265fbe6bdc22eee659d

Observation 4b0a3d4d-4b7f-431a-9905-08bc43bd659f · outbound

This paper cites Variational.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Variational

Reference 69

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no resolver link, observed 2026-06-27T19:44:06.875200Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:3de7e1c4619d2d2e6048b84a4cc32283a1e4b1e58488c0ef439b0ef24be12632

Observation 4a59091e-1579-495b-a35c-8d1a7cc5b3e3 · outbound

This paper cites Two-dimensionalrenewal function approximation.Communications in Statistics–Theory and Methods, 44(15):3107– 3124, 2015.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Two-dimensionalrenewal function approximation.Communications in Statistics–Theory and Methods, 44(15):3107– 3124, 2015

Reference 70

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arxiv_id, observed 2026-06-27T19:51:12.906898Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8d08d719-5b0a-4249-9943-5b963381fa32 · outbound

This paper cites an unresolved cited work.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 71

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doi, observed 2026-06-27T19:51:12.835946Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:93b81dcc2c67281b2f02103fa4e4e67941d823f94a18972ec5818a0bbe6e8e0e

Observation 67f4cb57-0aa3-4dd1-9f4a-f35816e5549e · outbound

This paper cites Statistica Sinica , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Statistica Sinica , author =

Reference 72

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no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:2896e9b9c69faf3b86e29e3c6e23be6a9daf2902a53929a9e83026e3194f7ac2

Observation 943c1bf9-4f8d-40c7-8c60-8d5c2fbfa2ed · outbound

This paper cites Swiler, Mamikon Gulian, Ari L.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Swiler, Mamikon Gulian, Ari L

Reference 73

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doi, observed 2026-06-27T19:51:12.772808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:c65769a027f3c3d2235898d9649cfc4c5726015e8c8f6b6883b92b17255c76d1

Observation 375747a6-ba65-4966-8b2f-a561c767604f · outbound

This paper cites and Fan, Yanan and Beaumont, Mark , month = sep, year =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations and Fan, Yanan and Beaumont, Mark , month = sep, year =

Reference 74

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unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:b815a08e8960a608e1acf32bfa48e8cc3dfb381b0b29ab39ab60af9410455618

Observation 149e89ac-eaf3-486d-9830-1f5692149e00 · outbound

This paper cites Graphical Models for Processing Missing Data.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Graphical Models for Processing Missing Data

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:51:12.838367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:bcb2b0cb539be10ab6fd5691ffd5ffb2b0c821358dbf124ceb162854cc788a0f

Observation 8a3e71d3-46e3-428b-a293-3b2d30c30eb6 · outbound

This paper cites Journal of Microbiology , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Microbiology , author =

Reference 76

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verified exact
doi, observed 2026-06-27T19:51:12.945336Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:37bc29ef369bf34e066b1fa11f56a13e4d16bcf7f9b2777e20f2376fcdca65c7

Observation bb77f52e-e724-444a-97d9-38c0662cb383 · outbound

This paper cites PLOS Biology , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations PLOS Biology , author =

Reference 77

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doi, observed 2026-06-27T19:51:12.969656Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:ed22585d956720641c6a61bd6a497bfee5c17caf50c3044feeeded4b519a0b1e

Observation 5566e0cb-9774-41fd-86a1-7446f7bf0d93 · outbound

This paper cites Nature Communications , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Nature Communications , author =

Reference 78

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doi, observed 2026-06-27T19:51:12.834353Z

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correction dated 2022-02-03. Source: crossref record 10.1038/s41467-022-28401-w->10.1038/s41467-022-28034-z:correction, observed 2026-07-11T03:04:44.13153+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:5b504de350175afec4d7c9b6349eecb146188f2d80ebb90c5ab96859cb13ecc0

Observation 7544f563-9a96-481e-8c2e-09e8967aa2d4 · outbound

This paper cites Microbiome , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Microbiome , author =

Reference 79

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doi, observed 2026-06-27T19:51:12.780470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 28b77895-56e8-4847-b6c3-04c4f2cdbf44 · outbound

This paper cites Nature Methods , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Nature Methods , author =

Reference 80

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:8439d2195b2eb21a1fdbc5278e414f5efb0809aa5b6469cd7199691286de99a2

Observation ff5093c6-7633-45fc-b6fe-d1e9df600735 · outbound

This paper cites Nature , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Nature , author =

Reference 81

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9fbc5197-322f-4bca-9a90-89596397b427 · outbound

This paper cites Scandinavian Journal of Statistics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Scandinavian Journal of Statistics , author =

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:51:12.808835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:b45ceb54117a1180d0426c1fdfba5ea601b79869511e005f068b7f60fc2eff3f

Observation 107232f8-effb-4fb4-a575-aa0735f9fbac · outbound

This paper cites Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:51:12.757496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:a5a0b80241d0046b0ca1f56850ab4f25e9321197963ca29d3ff978e5f6aa18cc

Observation be55a3f0-616d-4129-9597-3f4a324c6540 · outbound

This paper cites Constructive Approximation , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Constructive Approximation , author =

Reference 84

Resolution
verified exact
doi, observed 2026-06-27T19:51:12.920427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:25fd44972573dfc5f21aa8bc127104d0ef10e98fea8843a87541e1516168131c

Observation fc939d22-46fa-4b8e-b189-c36277a1ede4 · outbound

This paper cites title =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations title =

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:51:12.916800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:e4367f2235ec63ff45c52fe8b2926e1fddc481f2ba0502cbe348dd2dd1bb6651

Observation 55a7f162-ff51-4782-b8ed-db5752a1b61c · outbound

This paper cites 2017 , keywords =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations 2017 , keywords =

Reference 86

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:f26637c77c1ebde5e9cf7abef90cb9bda98a625b812f08d656210ced3ad41cf2

Observation fe5127d4-31ed-46cb-8eea-acd9064f43d7 · outbound

This paper cites Learning.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Learning

Reference 87

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:df08a5d1e441eecb9c050d4fd16be1b19ca9f25fe4efb5f73b3ca1684ae52fff

Observation d5f1cd40-57d1-4813-9925-69c5ffff2231 · outbound

This paper cites Learning in Implicit Generative Models.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Learning in Implicit Generative Models

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-06-27T19:51:12.760060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:29f8c972b375e4e34307463ca6c339e1d352b26d0cef259a5534b75754d69e3b

Observation c01a4256-da6b-4355-adc5-00a7be502aa9 · outbound

This paper cites Journal of Econometrics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Econometrics , author =

Reference 89

Resolution
verified exact
doi, observed 2026-06-27T19:51:12.762134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:e7af5a5337bda25a3e7f46a708817e07e6d1ad3340e1003b7488e3d59f905503

Observation bf223f1b-7535-42d3-b158-55322426d761 · outbound

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

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of the American Statistical Association , volume =

Reference 90

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:51:12.802251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:9b1c6decb5e69ea716f987e0da2fe358844c9550943da12948522932ab626efb

Observation d4b93f5f-3d06-47bb-9394-84088d294d0d · outbound

This paper cites Bayesian Analysis , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Bayesian Analysis , author =

Reference 91

Resolution
verified exact
doi, observed 2026-06-27T19:51:12.928727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:56734b83ee450f8aa1d7062dd4d0c4edb3c2e341bf5b810c821e0e9b822dc11e

Observation 07d1b045-64ff-4abb-9084-c707528edc64 · outbound

This paper cites Scalable and.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Scalable and

Reference 92

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:86b69af5956f8fbf7a61ce437c25fe704f25d333ab5b335845b0127cb29430a4

Observation 78eb0f2f-7d97-422b-bc3d-757ef5446295 · outbound

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

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Machine Learning Research , author =

Reference 93

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:465b85df1044b326ecb333a13579f1431296f20e44a2aad466cb63d1ccd098b0

Observation 9232818e-f724-4589-ac05-679d1924d790 · outbound

This paper cites Conditional.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Conditional

Reference 94

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:70b7eeec46920fb025267d49c63e83d24dac8cb56f9a380dd0267a1a5788313f

Observation d85a5226-d49b-4022-9ca8-e31dd03c910b · outbound

This paper cites an unresolved cited work.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 95

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:423434212b774981d6c98b7466f6520b17f8c60f159ab35d4d095047ff244662

Observation 36b84db7-9b88-420b-af5a-6fff755836bc · outbound

This paper cites an unresolved cited work.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Unresolved cited work

Reference 96

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:d1b16ff2f5da81cc9997f286960d40ead41ed939d527dcceaeaf0c81fd421e95

Observation 0572e019-1514-4d90-9693-98a85425dd6c · outbound

This paper cites Gaussian.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Gaussian

Reference 97

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:8ef09961cf8827f9b527bbd6a8845affe0522106afeba8d187f034e9c0911eee

Observation e627d787-405d-497a-8b51-a29305d8edb0 · outbound

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

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of Machine Learning Research , author =

Reference 98

Resolution
unresolved
no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:637f45568986b278c907f95ea2fc8a9e2dd75c9743ebc9b49e0f326b82e190a1

Observation e36721d2-a96e-49cb-884b-545e7054c9dc · outbound

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

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of the American Statistical Association , year =

Reference 99

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T19:51:12.933524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:f915a7b414b2b0352c479752db74ff5b7e25f6d1b110d112058b8127a79573e3

Observation 4e885831-bced-469a-8550-a4134dda898f · outbound

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

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Journal of the American Statistical Association , author =

Reference 100

Resolution
verified exact
doi, observed 2026-06-27T19:51:12.949534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:a5474028bfde3c73f4010ff4593bc5dd3fcc48fc4c074b817200e85b9d03dd6c

Observation bc48bb71-fa9f-4325-b599-a4a5331754f3 · outbound

This paper cites Studies in Applied Mathematics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Studies in Applied Mathematics , author =

Reference 101

Resolution
verified exact
doi, observed 2026-06-27T19:51:12.799563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:5f17c9c8aa64cc779734fa3d0e26a495108e3acb07ea889506a67d201098907e

Observation 7a15cec3-e329-495f-9f4b-b52a7a53241e · outbound

This paper cites The Annals of Statistics , author =.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations The Annals of Statistics , author =

Reference 102

Resolution
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no resolver link, observed 2026-06-27T19:44:06.875200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:2a72bb3fb107a99ae2a55008fc894bc7afd1434e6dcca72f18391c4d8b3eeb99

Observation d451b4b3-4e87-42af-b41a-0be3451ca695 · outbound

This paper cites Semi-supervised Fr\'echet Regression.

Bayesian Global Fr\'echet Regression via Weak Conditional Expectations Semi-supervised Fr\'echet Regression

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:51:12.764653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T19:44:06.875200Z digest=sha256:8ec25afbee420c3338e0b6dbe8881cc16f9214996d66d1c7306aaefc31fd6cd3

Pith citing papers

No inbound Pith citation observations are available.