Pith. sign in

Paper Citation Record · LEDGER

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2411.17042.

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

pith.paper-citation-record.v1
2411.17042 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:39:48.250533Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe047836-12e9-4467-b467-5f12060186c3 · outbound

This paper cites Angelopoulos and Stephen Bates.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Angelopoulos and Stephen Bates

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.179191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.179191Z digest=sha256:efd0f91acda357cc58a858ca44262e35c7f0e6d0163ed2c672f8eaa0f870e1bb

Observation 2d8518df-d439-49e7-b1f3-81e03aa0a358 · outbound

This paper cites Robust uncertainty quantification using conformalised monte carlo prediction, 2024.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Robust uncertainty quantification using conformalised monte carlo prediction, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:39:48.485538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:39:48.183445Z digest=sha256:8e7a5706a16b322a94d1957194f8e1cc75f0d2cc07114583b0d56166bae8fa1b

Observation 6a595853-96f2-402d-a73f-84dc0165c2af · outbound

This paper cites Pappas, and Lars Lindemann.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Pappas, and Lars Lindemann

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.187035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.187035Z digest=sha256:5af2ae46517c749dcf29659a8e2febb082ee07f2fb701b90df4b98f431dc851c

Observation 4ed9d6b5-9993-4dc1-9948-be60d28b1c01 · outbound

This paper cites Normalizing Flows for Conformal Regression.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Normalizing Flows for Conformal Regression

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.190481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.190481Z digest=sha256:81e0fd784f25e60b61e266e694f13389b63f1b59250b0b0b0ff2bd4534b1bd89

Observation b70d33b7-c1b1-4e6a-b16a-f54e9167fc7a · outbound

This paper cites Kernelised normalising flows, 2023.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Kernelised normalising flows, 2023

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.194692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.194692Z digest=sha256:6dd67348e2aa893477434d628806de6a3201a880049ad1b369df3c528618be2a

Observation e72a41b3-8b49-4d9c-b053-f8000ea51eb5 · outbound

This paper cites JANET: Joint Adaptive predictioN-region Estimation for Time-series.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series JANET: Joint Adaptive predictioN-region Estimation for Time-series

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.198287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.198287Z digest=sha256:06f3e870afc47c9ea16e68b4e1e2320eaa59141008f35099257eed621d431ff7

Observation 8261e812-5492-4173-8162-9c4d121b7f60 · outbound

This paper cites Multi-scale attention flow for probabilistic time series forecasting, 2023.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Multi-scale attention flow for probabilistic time series forecasting, 2023

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.202370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.202370Z digest=sha256:d17650b8a89b2ed94afbed8eb4661be1fc79ef6739a8a17b19c6e1e1a74c9267

Observation 067bb46a-c924-4419-b3ba-bd6911a96751 · outbound

This paper cites Conformal approach to gaussian process surrogate evaluation with coverage guarantees, 2024.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Conformal approach to gaussian process surrogate evaluation with coverage guarantees, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:39:48.455855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:39:48.205888Z digest=sha256:dab0bb3c653f2d1b73e1bbaed7ac54a99c4df7adceb293c0218d1d1c0d7fa0b9

Observation 66639cd5-9dad-43ec-af5c-3dcba6e6bc31 · outbound

This paper cites Neural relational inference for interacting systems, 2018.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Neural relational inference for interacting systems, 2018

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.209167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.209167Z digest=sha256:e13f40c28663e28a9af980414d12e7f2cc384dc3303dbcba2ab44c5b894e77b2

Observation 04400368-5130-4068-b874-c87bfdcc436a · outbound

This paper cites Prince, and Marcus A.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Prince, and Marcus A

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.212713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.212713Z digest=sha256:a44538f8ebc3450a65360f764132d02b5b276db34194d5bd53f40d195b9542f8

Observation c8c3e966-2daa-4050-81bf-c75e60ec5143 · outbound

This paper cites Understanding diffusion models: A unified perspective, 2022.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Understanding diffusion models: A unified perspective, 2022

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.216427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.216427Z digest=sha256:7b1e7f0a333f664625351bff18963109c9cf2bfd89b15f66aa36c266681deea3

Observation b4092e10-328d-4362-a6c8-156a75674758 · outbound

This paper cites Gaussianization flows, 2020.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Gaussianization flows, 2020

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:39:48.429779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:39:48.219741Z digest=sha256:57df08c8cc4714ac267b73578cc8ec28e46d3f3b5cfa6967d15e4d2fa499d80d

Observation 7543ba81-7001-49cf-b403-f87d2de084c5 · outbound

This paper cites Copula-based conformal prediction for multi-target regression, 2021.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Copula-based conformal prediction for multi-target regression, 2021

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.223437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.223437Z digest=sha256:894a9f9d5bb29f3a653b4652afa3a3de9b223570192e7688662ed69734b3edaa

Observation 82b7c1df-e512-4267-83f7-de3f941b2f0d · outbound

This paper cites Normalizing flows for probabilistic modeling and inference, 2021.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Normalizing flows for probabilistic modeling and inference, 2021

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.226806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.226806Z digest=sha256:3c825fcee01abbe3a3dd91db9df4a689d13c891ccf443e443f11ee5e94b79f19

Observation 4a60ff6d-c5b6-41c5-8f98-e1afdc6556b2 · outbound

This paper cites Multivariate probabilistic time series forecasting via conditioned normalizing flows, 2021.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Multivariate probabilistic time series forecasting via conditioned normalizing flows, 2021

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.230245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.230245Z digest=sha256:b7b41182dead9d5e461b9430b7204fcbbacfe5668bb1d861d0b91fb291a1d651

Observation a7dd8df3-ef51-4f7a-b8f5-d455da42a180 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Score-Based Generative Modeling through Stochastic Differential Equations

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.233534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.233534Z digest=sha256:e5ab40fd8a4eca72d695690e2b388fe724ed42c56b270d7ea8e2f06ab73224cc

Observation 8f0c96bf-59bb-4761-a804-5da2b8b63103 · outbound

This paper cites Alaa, and Mihaela van der Schaar.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Alaa, and Mihaela van der Schaar

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.237018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.237018Z digest=sha256:acbdc8b80a954b65414f61eeb84428bd98e8c5dd3896179d77537fedf4dbdd2e

Observation f34c9783-54ad-4c77-8099-98c5df8bad80 · outbound

This paper cites Copula conformal prediction for multi-step time series prediction.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Copula conformal prediction for multi-step time series prediction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.240351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.240351Z digest=sha256:593fad3d641f113dc328587c2c709f1b01c44f51d67f13cc9b04f8815ea4025c

Observation 9942dd6b-6d06-46bb-bb1a-6df9539cecb4 · outbound

This paper cites Algorithmic learning in a random world, volume 29.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Algorithmic learning in a random world, volume 29

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.243656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.243656Z digest=sha256:2aedb3ffad6f14f0a1c6c1c66c9bf84485686d8a691bd2d86b28afc45294bd68

Observation 751d4cb2-32d1-4c55-9300-3534ae53e799 · outbound

This paper cites Conformal prediction for multi-dimensional time series by ellipsoidal sets, 2024.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Conformal prediction for multi-dimensional time series by ellipsoidal sets, 2024

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.247002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.247002Z digest=sha256:59474c081ac887f6b1050b316cefa6aae11532241fb4fdc8f0ca9e31d5e0c1b3

Observation ea65e4c3-64c9-4ac3-9d00-a5e2bc21251b · outbound

This paper cites Conformalized Adaptive Forecasting of Heterogeneous Trajectories.

Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series Conformalized Adaptive Forecasting of Heterogeneous Trajectories

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T12:39:48.250533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:39:48.250533Z digest=sha256:bdbb84a675cc71ca118b913568fb3bfdbfe144d570d606fa7e8a44d8e7859583

Pith citing papers

No inbound Pith citation observations are available.