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Paper Citation Record · LEDGER

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression

As of 20 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2606.25188.

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

pith.paper-citation-record.v1
2606.25188 v1

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measured 76 of 76 reference resolution

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Reference resolution

76 of 76 outbound references displayed

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Outbound references

Observation 2e5c1513-43f9-4703-974a-ccf0a0abb4cc · outbound

This paper cites Bayesian Analysis , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Bayesian Analysis , year=

Reference 1

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of statistical computation and simulation , _volume=

Reference 2

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of Money, Credit and Banking , _volume=

Reference 3

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 2005 , publisher=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Statistical Review , _volume=

Reference 5

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of statistical computation and simulation , _volume=

Reference 6

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Under review , year=

Reference 7

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Econometrica , _pages=

Reference 8

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This paper cites Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence , year=

Reference 9

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Statistics & Probability Letters , _volume=

Reference 10

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This paper cites Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation

Reference 11

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This paper cites Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys '25) , pages=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys '25) , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 17th ACM Conference on Recommender Systems , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Unresolved cited work

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 17th ACM conference on recommender systems , pages=

Reference 17

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 8th ACM Conference on Recommender systems , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression ECAI 2020 , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Fisheries Research , volume=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 1994 , booktitle=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18) , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 10th ACM conference on recommender systems , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 24

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 31st ACM international conference on information & knowledge management , pages=

Reference 25

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22) , pages=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Annual review of statistics and its application , volume=

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages=

Reference 28

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=

Reference 29

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression The annals of mathematical statistics , volume=

Reference 30

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Companion Proceedings of the ACM Web Conference 2023 , pages=

Reference 31

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of applied statistics , volume=

Reference 32

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression What uncertainties do we need in

Reference 33

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 34

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression The undirected repetition threshold and undirected pattern avoidance

Reference 35

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 36

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 37

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Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 38

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This paper cites Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI) , pages=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI) , pages=

Reference 39

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Observation aa6df67e-99a6-4fbf-8706-62e370157893 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Machine Learning (ICML) , pages=

Reference 40

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Observation d79d743b-e69f-4efa-95e9-a5c87c91b95a · outbound

This paper cites Variational.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Variational

Reference 41

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:f037f3c7cd2f12ace6ab70a11cee72e59f5e6aea5628f4cd4621270c383dd125

Observation 50412bdf-e373-492d-9fca-e417b505322f · outbound

This paper cites Biometrika , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Biometrika , volume=

Reference 42

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:7544f15869540d3af30b43ec1059e7fd0e2f2f21cd9055b0af3eb2f31d8f9303

Observation 0c1fbb2e-9aa6-46a5-8759-512d2a463a5b · outbound

This paper cites and Ruan, T.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression and Ruan, T

Reference 43

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:109490f15814be89febe9e58d4a7de9289158ff4d9bbbc688ef889fe40f09d66

Observation 56eb9502-9094-4a17-8628-fbc6fdeb9510 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Learning Representations (ICLR) , year=

Reference 44

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:548ed43795aef30c4b24c44b7c6a1fc38cddfd8768ce8724f9a382ac01e16507

Observation 886f0b2a-74c6-441b-8b2d-3f3d59d60e8f · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Machine Learning (ICML) , pages=

Reference 45

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:8217c1a01e0cb2210f8a7288ee9b204e29f21d6bf212f5cc01b1cacdde79860c

Observation 9f8b295e-4e1e-4f26-8c06-1f15728c208d · outbound

This paper cites Springer Science & Business Media , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Springer Science & Business Media , year=

Reference 46

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:31046edfafec40082430c35b46bcf611fd4e55683436f3cba0a4ce890bdd49d5

Observation 4ca31758-8539-4812-9dd7-4359c86d566d · outbound

This paper cites The Annals of Statistics , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression The Annals of Statistics , volume=

Reference 47

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:12865430014a1952d769eedf0f35f857744b9f65cbc79a1b4a6be004eb9591d4

Observation 825c71ea-5b59-40b8-aa24-8010164d7349 · outbound

This paper cites Springer , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Springer , year=

Reference 48

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:cd803f914ad2300362d34f2f7703b134dd1c207e0a5af801e571b0a419df82b2

Observation 01f27bc7-b888-483e-9047-f0b617178535 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Machine Learning (ICML) , pages=

Reference 49

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:68456b1125bf55eec99f5e6d04d0cd4f6efce9d191cd8a8ab1c65a8a2643f416

Observation 977021f3-c373-40e9-9150-da22353aa1f0 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 50

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:853d93c0ac883dbb8715b6462071deb266fd3b6ea8abf38d3849653b51c02267

Observation f7cde197-42f3-4dae-85a2-caa8759317af · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Machine Learning (ICML) , pages=

Reference 51

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:b922aaa165ab4cc835f1539589377bface085dfe3d9e680670a9562cf91f133c

Observation 03f8d48d-293a-44fd-9f5d-266049eb602f · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Machine Learning (ICML) , pages=

Reference 52

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:3239baeaad57bec8cf217bc4914921c6d21b850c0a7c43e184b0747546d64f0a

Observation 65a30aa0-6309-43e3-a0e1-ae1ee73b4b9b · outbound

This paper cites Biometrika , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Biometrika , volume=

Reference 53

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:17d6811b2d51f41f116b7e9913b5bc2c24d877c68bf83c8a963b2d458a1a4f89

Observation 2a396f99-3ffa-42c7-917e-4d1a90539de8 · outbound

This paper cites Foundations and Trends® in Machine Learning , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Foundations and Trends® in Machine Learning , volume=

Reference 54

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:19463b8e8dbeaa933f3dfaa09849c41d61aa3507d4008e7fe4b7ffb8c0e5dfbc

Observation 2e4da70b-b94f-46d6-8b5b-e23074f5d88c · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 55

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:800e6f896b91189de886b0b79b40dcdf714e8c1cb0d6199ac49246244ec3a9af

Observation a586f4fc-d84a-4e4c-bcb0-92f8f3fbf123 · outbound

This paper cites NeurIPS , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression NeurIPS , year=

Reference 56

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:8349522c0517023994d185aab7bdeec8c74776d686cb691f3c355b405621c842

Observation f3dc647c-29f8-4fe4-9ef7-64998b9d4009 · outbound

This paper cites 2018 , publisher=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 2018 , publisher=

Reference 57

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:2ccc69f7dbe463b317fd625cb99446ccd9467d4e30249e572aa1ea8ef45d54d9

Observation 2d562e97-41ef-4cd8-a804-11f1d355abe1 · outbound

This paper cites Engineering , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Engineering , volume=

Reference 58

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:1457a23e4e5ebfc98a9163fe3014482f9a4ef44266bf14fcbe682d3d5ede79fd

Observation b2219d8f-2042-4081-be64-20889d26304c · outbound

This paper cites ICML , year=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression ICML , year=

Reference 59

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:988292c266acc6422834b33876adf88753ca97a7b268cc0c930259339ba6b3ba

Observation 50cd700c-4178-49b6-9120-52bac085d941 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of the American Statistical Association , volume=

Reference 60

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:66314213cb29d9682293642be3c6d7ac6952f64450e378eb0c1d431ce972cfbf

Observation 9ff54a81-324f-40f5-aafb-de8d2cb6c226 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Journal of Machine Learning Research , volume=

Reference 61

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:460d7daf0b90b9191fd7aa48197bd68f58d9e05354e9c142d162c820373a42ca

Observation 6f29649e-135b-4d96-ae84-fec76f093829 · outbound

This paper cites Soviet Mathematics , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Soviet Mathematics , volume=

Reference 62

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:ed0b129ca2cb0f590d5c515faaaea19981a88d23baa190dfa3f4815d9379f56a

Observation f63213e2-cd4b-43df-8433-f2869bfd25ee · outbound

This paper cites Bernoulli , volume=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Bernoulli , volume=

Reference 63

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:c3af635eea03735b71aa345438bc4adfc46c4e45fa43d1acd602f989836af827

Observation d70874b7-9834-493b-bb9b-d41251bc4510 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 35th International Conference on Machine Learning , pages=

Reference 64

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:62c38d642bcbe4f80931108a5c9207aa4557a3244c24a628c5ee77d542667f78

Observation 7458ced2-1751-4bfd-a305-ea354ba221d1 · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 65

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:f99500d7c416ee8e439e67a2c58332d25e72321bc75ae4b2d84a467fac0b5ac4

Observation 6451cdb1-3e48-4451-946c-949bf01ccfbd · outbound

This paper cites an unresolved cited work.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:b16382be5011b5d79fe5dcad8eb4a6a8e2232839717989ea4b30ca513b148642

Observation e1b3b741-6c7f-41ed-8385-7974794db379 · outbound

This paper cites an unresolved cited work.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Unresolved cited work

Reference 67

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:3785b12923a24c4c83af82281f03af9993beef1b3c6574dd25de5feba3d7bc65

Observation 3536354a-4c86-4c67-880a-ab331d258c67 · outbound

This paper cites 2018 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 2018 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 68

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:436e9ac53dae378b164f888b32fb1cf5215b736474c704a1a803ac9a9398cbfc

Observation b6fad912-4d1e-4841-aaa7-d99b6c227be7 · outbound

This paper cites , booktitle=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression , booktitle=

Reference 69

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:71495f7f279116cdd18f3943a49a9169600725c7a0abf07c11d1c246e7452d18

Observation b630ae0d-e50d-4377-bbff-2bb5f81853dd · outbound

This paper cites 2000 , publisher=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 2000 , publisher=

Reference 70

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:c01bcf55c56e4178b8c40256b031ec432559cae8d9384defa0fbd8f22eb4a660

Observation 4a3b5156-ca88-4016-9e0f-aab15c0b0888 · outbound

This paper cites 2019 International Conference on Robotics and Automation (ICRA) , pages=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression 2019 International Conference on Robotics and Automation (ICRA) , pages=

Reference 71

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:0f1eddf8c932c09ee1ee46d2de874b0a1a79f8580e5b141ddcbdc6c32f494d02

Observation e7bf162a-e457-4438-8ad4-496ef43e8bfe · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Bayesian Active Learning for Classification and Preference Learning

Reference 72

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local_arxiv, observed 2026-07-04T17:30:00.424235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:2fe333ac5b808c0cbcb36fe337c297b365678dd6d0bd7233a5737224d79f8e8d

Observation 7431d5ba-177e-45c7-8cca-287d65b68712 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning (ICML) , pages=.

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the 34th International Conference on Machine Learning (ICML) , pages=

Reference 73

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:fe8e9b0336987dd8fb852e3ec657e030d29abc55bc3252a185aac3b5a9cec67b

Observation e0726a8b-5dfc-4c69-8aa6-4f47cf0970bb · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 74

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:b93c8a24449d9eda8c07e083ec73e89ea9c6f609c580c91ec5038755302e6b4c

Observation 7195aab5-25ed-4014-8ffb-45cd723509ac · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 75

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source=arxiv_source observed=2026-06-25T23:39:22.533456Z digest=sha256:6d39059b6a10010458ef6bdad096563af369cc1b36d8090da7c894fcdb608d5d

Observation 5f3e3995-e86a-494f-a387-6ec7bf61c06d · outbound

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

Efficient Analytic Uncertainty Quantification for Multi-Modal Regression International Conference on Learning Representations (ICLR) , year=

Reference 76

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Pith citing papers

No inbound Pith citation observations are available.