Pith. sign in

Paper Citation Record · LEDGER

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2505.23196.

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

pith.paper-citation-record.v1
2505.23196 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:44.124291Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T20:45:52.977412Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T21:03:58.860334Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f608699-7b0c-4943-9107-bd980729966d · outbound

This paper cites Alaa and Mihaela van der Schaar.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Alaa and Mihaela van der Schaar

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.989881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.317130Z digest=sha256:3d77a3d341dffae9dede9e1b1d8f3e8ced11adb63a974170d4b19b89290ec004

Observation cf2d39e4-94be-4278-be50-cf86a7939b43 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Building Normalizing Flows with Stochastic Interpolants

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.832864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.429071Z digest=sha256:226538bae00ceb4da3028adf36bc70f3a1ed0f70c75179cc98f7bb03e4bf73a0

Observation 03942050-c889-4fe8-b937-88c421190e94 · outbound

This paper cites Angelopoulos and Stephen Bates.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Angelopoulos and Stephen Bates

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:40.530426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:40.530426Z digest=sha256:419927def947fca4eac57de3458e13bbeb0796301d124b4f7b6be54b08b667cb

Observation 9953ee32-c068-4bfb-94a2-534e0cc616bd · outbound

This paper cites Candes, Aaditya Ramdas, and Ryan J.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Candes, Aaditya Ramdas, and Ryan J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.618077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.568331Z digest=sha256:df0eff18d27c246ae297071e7f2f63287081ed7b10120fcf05661039904ae156

Observation c643e030-4016-490f-839e-0a16a466ca4b · outbound

This paper cites Candes, Aaditya Ramdas, and Ryan J.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Candes, Aaditya Ramdas, and Ryan J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.398978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.671606Z digest=sha256:223425e05fc4436ba67725b31b6e7ab67bda90bc49441486d076a34b35d122ae

Observation addefb7d-96c5-4dc1-af88-9b5bfa606ebb · outbound

This paper cites Duvenaud.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Duvenaud

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.255448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.768424Z digest=sha256:de3a7d4693caf8e18678b23f9d35f0eec11871a0d647df31ccedd10c3f53d095

Observation 38d699f7-acaa-4ed4-87c1-85a1d0259d41 · outbound

This paper cites Exact and robust conformal inference methods for predictive machine learning with dependent data.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Exact and robust conformal inference methods for predictive machine learning with dependent data

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:52.076934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:40.901048Z digest=sha256:e711a25c4d21fb57afa9e87ba14d9892bbcec98bcab440e18c1ecafd3698dd57

Observation fa856c65-b22b-47aa-b6e3-abbaf0a69695 · outbound

This paper cites Pappas, and Lars Lindemann.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Pappas, and Lars Lindemann

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:51.909979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.026181Z digest=sha256:5d69130b06008905dae7fa6f2ba772bf1f4031ac56f7ad6cc7976df172215147

Observation ee465c07-a8f6-42c1-a19c-daec48130421 · outbound

This paper cites Normalizing Flows for Conformal Regression.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Normalizing Flows for Conformal Regression

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:41.107038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:41.107038Z digest=sha256:b7ea09113e5dca6545f43eedc5fe4a8e5bde3349fa223d96a00a25d43bc96f73

Observation 1b8d129d-a398-472c-97c0-69f87609406d · outbound

This paper cites Density estimation using real nvp, 2017.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Density estimation using real nvp, 2017

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:51.685691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.171192Z digest=sha256:f7b6be48b9c72f55f724ef34e65699d28236d2fa42ef405df29815822da02b51

Observation 1d38d7a8-302f-4b77-bfd0-672961988496 · outbound

This paper cites Multiple Comparisons among Means.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Multiple Comparisons among Means

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:41.281377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:41.281377Z digest=sha256:fc0239e40cb4598a1f6dab77b300258b24bec871679cee7c82d260b19cf5fb00

Observation 120eabc2-2db4-429a-8f63-35cb7c975e3c · outbound

This paper cites Neural spline flows, 2019.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Neural spline flows, 2019

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:51.434148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.387360Z digest=sha256:fbf6d2f9382b33b46b0957aef763b174ab491f52acb9d104b86ce355c33f5bbd

Observation ceb74cc3-e430-460b-a75a-869715a3667e · outbound

This paper cites Kernelised normalising flows, 2023.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Kernelised normalising flows, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:51.276749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.465765Z digest=sha256:8455fa7fd465d89a4fd777bed54bd97b59d804a2ea263240d32d8e8dd37036bc

Observation 584bec32-003b-4ecc-8ab3-e9304172c05f · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows JANET: Joint Adaptive predictioN-region Estimation for Time-series

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:59:44.669817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.561174Z digest=sha256:ca0d5b857a85a827c10b80e7f9180de6e7234f9d029d1079c6eedfc9f6b770bc

Observation 2e4804ec-ac87-4dca-a472-b0cdfda83ec1 · outbound

This paper cites CONTRA : Conformal Prediction Region via Normalizing Flow Transformation.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows CONTRA : Conformal Prediction Region via Normalizing Flow Transformation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:51.093116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.651005Z digest=sha256:73b86323b031661a9dce1edc9872dcb1906a3613a9f4bd6aa940c8d94df6141d

Observation 1d2e83a1-105c-4721-a41d-5f047feef735 · outbound

This paper cites Calibrated Multiple - Output Quantile Regression with Representation Learning.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Calibrated Multiple - Output Quantile Regression with Representation Learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:50.864349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.765005Z digest=sha256:7131109265b268a5c31bfcd39b177811b0112224549f7e66a251a1b7738d38f7

Observation 125f7340-b5f7-4fd5-97c0-f4e8d9f80b5c · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Multi-scale attention flow for probabilistic time series forecasting, 2023

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:50.720202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.861682Z digest=sha256:58baf547a6da7a5686ef63108def1d8007d2756b8e418af341b5b0d76d42fe79

Observation 2300a00d-52e2-4d1d-a639-937d1bcc1d2f · outbound

This paper cites Gammerman, V.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Gammerman, V

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:50.520498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:41.989203Z digest=sha256:57253966a2d5d1de385ba1dfa947c7269071371327e3943a64648b9b38bf3340

Observation ae17acff-0f78-48ef-8d9d-295f293b957e · outbound

This paper cites Adaptive conformal inference under distribution shift, 2021.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Adaptive conformal inference under distribution shift, 2021

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:50.377078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.078530Z digest=sha256:9c1c6c3b718528f14a01e5526aceea0718cd7c879d7ed2a99f6b1b395e99d075

Observation 954fd663-9ed0-411c-b23d-77dffbfe5e42 · outbound

This paper cites an unresolved cited work.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:50.237291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.187509Z digest=sha256:f6f74f557caf4a53c52ae05276afc2b9b457e9ada0346af89454ca07b634c432

Observation e28a32b0-b8da-48fb-9350-0d86fe463698 · outbound

This paper cites Flexible distribution-free conditional predictive bands using density estimators.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Flexible distribution-free conditional predictive bands using density estimators

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:50.045689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.293530Z digest=sha256:479441ccb65a4cf2a45b4bde470681a0d95497896bd173859d6358928466b4ca

Observation 47e27390-2831-4c24-9b24-d13279392e3e · outbound

This paper cites an unresolved cited work.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:49.860770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.412341Z digest=sha256:1f5a066cd126ab5b89f1c69d616f13ff977bbb62627585d79ba5a981e8f10056

Observation 0998ef0c-7bbf-4624-9390-89be2bcefbb2 · outbound

This paper cites Conformal uncertainty sets for robust optimization.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Conformal uncertainty sets for robust optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:49.653277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.533002Z digest=sha256:edebf4eccc3dab5e832ae7c0c1db97d565b3da334280570ec808a304c74046b2

Observation 88442ecb-31c0-4ede-9193-209b3999ad49 · outbound

This paper cites Kingma and Prafulla Dhariwal.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Kingma and Prafulla Dhariwal

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:49.386917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.657067Z digest=sha256:bdf8fe82981b74f1d907fd455d8bdac39e2e60a3be2b8e10c0772d0302773099

Observation fa31f506-a1b1-4143-8ee8-ee863258a968 · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Neural relational inference for interacting systems, 2018

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:42.734536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:42.734536Z digest=sha256:4004af1e3f8c36543f5f1eaa2b3baa490111c1b05b5b73aef6a0f93c8fdde956

Observation fafce59a-d4d7-4e07-977f-29f685aa69f7 · outbound

This paper cites Distribution Free Prediction Sets.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Distribution Free Prediction Sets

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:42.827675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:42.827675Z digest=sha256:8b8012460da7d34db4551843759397f07c0b14402a5d86a750db9dc758d558a0

Observation 379e6c99-ff36-4fee-bf7c-e5fe18bbe347 · outbound

This paper cites an unresolved cited work.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:59:49.099058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:42.948221Z digest=sha256:edd45eeaa936ee9891bed21a8deaeaa65bc192053182a3ad1fe319a30801c33f

Observation 0ab5f9ee-9070-4ef4-8960-8e9f3b242154 · outbound

This paper cites Conformal multi-target regression using neural networks.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Conformal multi-target regression using neural networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:48.848600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.038379Z digest=sha256:a24bbd079a4ce62dd84b2332cc4c6227e8a5412b0d178d83436c24f0f06ff924

Observation c0b96c80-8f6b-4d98-bfb7-f140d300e47e · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Copula-based conformal prediction for multi-target regression, 2021

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:48.596282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.107805Z digest=sha256:3248f84b07d061349a7b1cd00d056df4e814df5cddd2815c1f2f5634754083da

Observation cdf90f14-b573-4bb6-9320-5a4d1d451d2a · outbound

This paper cites Inductive confidence machines for regression.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Inductive confidence machines for regression

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:43.164314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:43.164314Z digest=sha256:569071ac8089522b100ee3bffc69b6d6da7a1ce7f14034e07c4546f13da9331a

Observation e0488145-208d-4d09-b46a-8d8b65fb1ffd · outbound

This paper cites Masked autoregressive flow for density estimation, 2018.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Masked autoregressive flow for density estimation, 2018

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:48.358596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.218779Z digest=sha256:f6b039a29cd1974b5351a703a8fbdb27d23a0ff9507da168e1fc25cd75953c83

Observation 1b3359b6-b235-4843-ac1f-ea0f7ee9c95b · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Normalizing flows for probabilistic modeling and inference, 2021

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:48.065683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.288407Z digest=sha256:bfd4869014b331657bc83bb2bed55c186be7d8bf362c986915978ed9d4f001ca

Observation 62c56044-da20-4793-9aae-059c278d4857 · outbound

This paper cites Probabilistic Conformal Prediction with Approximate Conditional Validity.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Probabilistic Conformal Prediction with Approximate Conditional Validity

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:47.832088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.337944Z digest=sha256:15efe9c611f70de2470c2b04fd7a95cfebb65108f95176bba39361ef485542c4

Observation 590e080d-22ca-4560-a678-290d80281d1e · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Multivariate probabilistic time series forecasting via conditioned normalizing flows, 2021

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:47.582333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.383342Z digest=sha256:b482430c629b7dc99d0d2f707b53ed3cce2b92bb2e0ac9baf4cc86d779cae362

Observation ce346c2b-160a-4dd4-8619-f3b05af1bde7 · outbound

This paper cites Conformalized Quantile Regression.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Conformalized Quantile Regression

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:47.305215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.454919Z digest=sha256:04c482a2bc084a392f54505d6be512af8862ce1a7ad8b5311bf377f6156995ce

Observation bdb124fa-d5b4-45a8-8214-e14e22dec064 · outbound

This paper cites Pythonrobotics: a python code collection of robotics algorithms, 2018.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Pythonrobotics: a python code collection of robotics algorithms, 2018

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:47.030843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.505639Z digest=sha256:5ad21791891a8395d42104ddad6dc4dd66f66280f3b837642e7d358a89215bfc

Observation 0829f36c-cd4a-4c7f-b7eb-f505a01feae3 · outbound

This paper cites A tutorial on conformal prediction.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows A tutorial on conformal prediction

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:43.539961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:43.539961Z digest=sha256:d9112e1cdcb3debc99e9f927813012a8f07b1f448eee5bdef1e989920f802a3c

Observation 5b79abdb-6eba-4d34-b1f1-de1f801b9a13 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:46.793572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.586904Z digest=sha256:16c3bea9a4485e1d27e727bfbfaf36865abfb5e1066c114159217b09a200311f

Observation 48397b43-e2c5-438c-8e5b-16bed3cc75aa · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Maximum likelihood training of score-based diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:46.585937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.627006Z digest=sha256:6020309aa27425e8ab463632185c4d28589fd6d7737eec3c375f8d6005cd43d7

Observation 482cc07a-ee4c-4d38-86a3-e285c3607006 · outbound

This paper cites Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:59:44.443966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.666731Z digest=sha256:5197171024237addf23a875c07ecc15cb04d8b5ccec2ec9756ee334acb61193d

Observation 7181225c-84fa-43fc-bb81-a0c3495d5bc8 · outbound

This paper cites Alaa, and Mihaela van der Schaar.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Alaa, and Mihaela van der Schaar

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:46.383577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.707301Z digest=sha256:a0c6dc6d96a2c5e947370a5084575ae33b1a5170e7bf57ba8ff4386314ec9628

Observation f0df7f6b-b9c0-434e-8fa5-bfdf7b845936 · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Copula conformal prediction for multi-step time series prediction

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:46.118592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.748920Z digest=sha256:3128924d953774749064777062126e518515448bb546a9a282cf6d2c6a910a61

Observation 243a0eac-a01e-4904-8356-6cd2db06d48c · outbound

This paper cites Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:43.798220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:43.798220Z digest=sha256:4755cd95fa56aa7b20274ce8a2005cefccf5135abbe01693b19fde62bda1fcdc

Observation 7cd40847-cb66-4ce1-b27a-9db9c0fc3655 · outbound

This paper cites Reciprocal Velocity Obstacles for real-time multi-agent navigation.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Reciprocal Velocity Obstacles for real-time multi-agent navigation

Reference 44

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T12:59:44.302619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.855699Z digest=sha256:95db8a76c9a0cb82cea3ab823c82ddf2c3da15733c3ded6f22ad5cb7be94a0f2

Observation c15f6a52-5bad-45d5-ad59-c800f8a1d670 · outbound

This paper cites Attention is All you Need.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Attention is All you Need

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:45.921013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.901767Z digest=sha256:ef5b325b7d9099f6cc67d1f20b20e70a8b2fe508572ee00cf1ee4dba7fcfeee0

Observation 50cfcec1-d7fd-4bbc-a694-f6c013188e8b · outbound

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

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Algorithmic learning in a random world, volume 29

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:43.953421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:43.953421Z digest=sha256:e366a651763a5360148df3789ada5e8c9d73286cd1da943bf8361a811a85d342

Observation 9a332400-d777-45d1-83a5-282ea64d2e44 · outbound

This paper cites Probabilistic Conformal Prediction Using Conditional Random Samples.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Probabilistic Conformal Prediction Using Conditional Random Samples

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:45.621924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:43.989400Z digest=sha256:5aab37b4a881c35059026b798cb060f83d15403bf9f347947c6b46e72298ad2e

Observation 611cb678-9d30-4dd4-be58-285776eb286a · outbound

This paper cites Learning Likelihoods with Conditional Normalizing Flows.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Learning Likelihoods with Conditional Normalizing Flows

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:45.404925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:44.031059Z digest=sha256:104500a47cc9ebc290c7007f8bf12b4914d85b9d930d1569c81826dbc417bee1

Observation cacd8b10-d594-43eb-8e97-1273a6549281 · outbound

This paper cites Normalizing Flows are Capable Generative Models , December 2024.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Normalizing Flows are Capable Generative Models , December 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:45.171262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:44.070891Z digest=sha256:932626cc9010380fa9c69b7ee43a1d210a3b99fa0d25538b51c2af54a02e8351

Observation 20dd01eb-743b-4ff9-abd0-5e5608c0ea5f · outbound

This paper cites Conformalized adaptive forecasting of heterogeneous trajectories, 2024.

JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows Conformalized adaptive forecasting of heterogeneous trajectories, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:59:44.914979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T12:59:44.124291Z digest=sha256:9253b40457d23bd69502cbe3a5edea9711c9676487ef5ca8371c5d95f46ff349

Pith citing papers

Observation 14eab6db-71e1-4c46-ae46-f25cb44b2b85 · inbound

Multivariate Standardized Residuals for Conformal Prediction cites this paper.

Multivariate Standardized Residuals for Conformal Prediction JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.701301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-19T03:28:38.696849Z digest=sha256:6798ca4862a57a8b0bd80fbae2f9b226766bd6c1963759eed48993af587a6236

Observation f3605fbb-e3a7-4434-b3a8-88a3d00c2845 · inbound

A Post-Processing Conformal Prediction Approach for Conditional Coverage via Pivotal Scores cites this paper.

A Post-Processing Conformal Prediction Approach for Conditional Coverage via Pivotal Scores JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:03:58.862002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T20:45:52.977412Z digest=sha256:48cde1bb45534af2403a1f764200ee8140273dc96beb6edfba559142ec0c4932