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Paper Citation Record · LEDGER

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.23475.

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

pith.paper-citation-record.v1
2505.23475 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:46.026968Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

36 of 36 outbound references displayed

  • verified exact3
  • verified fuzzy19
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d507ad01-6ff1-4d07-af02-2b8fa39a26ac · outbound

This paper cites write newline.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning write newline

Reference 1

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no resolver link, observed 2026-08-07T12:52:41.198395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:52:41.198395Z digest=sha256:9e4658b734cddb1f02f41ed01f3fff32f3ddbed90280e9e05ca814c69ffb1c87

Observation ba6664a9-3d73-4b45-aac9-88042d263b43 · outbound

This paper cites Chronos: Learning the Language of Time Series.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Chronos: Learning the Language of Time Series

Reference 2

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no resolver link, observed 2026-08-07T12:52:41.283600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:52:41.283600Z digest=sha256:30cbc2f7f9d6085a1c3c6e70a3fafa3fde53a2546d16f782e803acf4ee5aeff8

Observation 42916962-563c-486e-a9ff-5aa9f9def87a · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-07T12:52:52.781104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 126ffcdd-ac95-4440-bb87-c8a6ba69805f · outbound

This paper cites E., Ifergane, S., and Freifeld, O.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning E., Ifergane, S., and Freifeld, O

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:41.547058Z digest=sha256:63254b6a7e3f22bd96cd12de91e64d12ad4060adb6a82ff8ab70e45f1d229cd9

Observation bc8c6c2f-3010-4f65-88fd-d3c5c317adb3 · outbound

This paper cites and Blondel, M.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Blondel, M

Reference 5

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raw_fallback, observed 2026-08-07T12:52:52.393462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:41.687540Z digest=sha256:729f2d0d0424fff602ddf451728588cb4c2d90cbab7da06305330a0ef256c514

Observation 8f3e066f-b95b-467f-b6f8-71f29e568a28 · outbound

This paper cites A., Bagnall, A., Kamgar, K., Yeh, C.-C.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning A., Bagnall, A., Kamgar, K., Yeh, C.-C

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ede652e2-cc96-4bca-a216-547f87defb43 · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Statistical comparisons of classifiers over multiple data sets

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:41.902854Z digest=sha256:659b9bd6e8b0d86e5baab7a37931ed68af197c87b96a1a7046aeaff735364ec6

Observation eb855a9f-f4c3-43fb-af66-e131c6719205 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Superpoint: Self-supervised interest point detection and description

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:51.759734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:42.006449Z digest=sha256:e438d08f664c4e195f5a4a1910efdf3338b8d14b17cdfa1540e548ed8c6b5524

Observation 13f7c48e-7195-41fb-9701-a221b2801385 · outbound

This paper cites Temporal cycle-consistency learning.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Temporal cycle-consistency learning

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:51.522548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:42.178911Z digest=sha256:31599b1795478653b44aa17fd97703f7e52881e3efc68e2d0050fe5ff83ba293

Observation b688e781-6a50-40e9-9091-baa074649131 · outbound

This paper cites E., Amoyal, R., Treister, E., and Freifeld, O.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning E., Amoyal, R., Treister, E., and Freifeld, O

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4ae27708-55e0-4979-8091-175531ce4adb · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 976d9061-bfcf-4483-a9e5-8ba4716a11bf · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-07T12:52:51.014556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 88808cb4-0c90-49f6-8bad-6266f37c3576 · outbound

This paper cites Are Synthetic Time-series Data Really not as Good as Real Data?.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Are Synthetic Time-series Data Really not as Good as Real Data?

Reference 13

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unresolved
no resolver link, observed 2026-08-07T12:52:42.842199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:52:42.842199Z digest=sha256:4428070fcc2caec647746113600ad4dbd9b03b4406694d8c3e6c4fce0cca4851

Observation 130ff604-ac57-48b7-a29a-3554c8ea1102 · outbound

This paper cites S., and Freifeld, O.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning S., and Freifeld, O

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:50.812661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:43.006884Z digest=sha256:8dd1d6a3db509ed29fc694d85d7338c2bfa0b0af4eea3a17f0cd8879e2d92cbc

Observation 62c2c41a-fd31-4e1f-8351-783484f1cb1c · outbound

This paper cites Ta2n: Two-stage action alignment network for few-shot action recognition.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Ta2n: Two-stage action alignment network for few-shot action recognition

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:50.643178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:43.186935Z digest=sha256:47b3a45c28576b7a2169156f6588079a0fa61d1ac3fa5ff6a9fb731a140f06c9

Observation 2cb205e5-7fda-486b-858b-e18ee4e6a3db · outbound

This paper cites sktime: A Unified Interface for Machine Learning with Time Series.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning sktime: A Unified Interface for Machine Learning with Time Series

Reference 16

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no resolver link, observed 2026-08-07T12:52:43.338362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:52:43.338362Z digest=sha256:6b291f00b846749a6213108437a1366ecf0e6f60b0700d0aaaf4f93615e2d025

Observation eac5a0b8-e139-476f-b9e8-1482236b3689 · outbound

This paper cites Decoupled Weight Decay Regularization.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Decoupled Weight Decay Regularization

Reference 17

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no resolver link, observed 2026-08-07T12:52:43.434835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bd08685-9fcc-4846-990d-abcc64d2a096 · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-07T12:52:50.446880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 634fed22-45d9-4a39-a54a-67b2109dd2e9 · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 53e3f03f-721d-4471-8bdd-0c641bea5eca · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d72b7b41-44fd-447b-80df-d50a3ba9710c · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7ed897c0-600d-4355-bd9d-10a99c3c8bed · outbound

This paper cites Bake off redux: a review and experimental evaluation of recent time series classification algorithms.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Bake off redux: a review and experimental evaluation of recent time series classification algorithms

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:44.160850Z digest=sha256:e3571b4d6d5d44b3837c2b7e61b96f1dbd0aa2a261f38dd9b32480f9b107d206

Observation 93e22ea8-13ab-474e-9a31-0fdbaae9287d · outbound

This paper cites and Desolneux, A.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Desolneux, A

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:49.429484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:44.306149Z digest=sha256:efc1cab49918604b18042ea3369b2c43a4814e7eb4fb706a29bc22ed57ff32cd

Observation 5d09a14f-c80f-4a68-a099-5b79771943dd · outbound

This paper cites Dynamic-programming approach to continuous speech recognition.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Dynamic-programming approach to continuous speech recognition

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bec83a42-3200-4b2a-9aed-1a63adf46ac5 · outbound

This paper cites and Chiba, S.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Chiba, S

Reference 25

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no resolver link, observed 2026-08-07T12:52:44.584328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:52:44.584328Z digest=sha256:d1e10311a53ca0d377d9bf407469c6970818788270cce708eae66f4132f1febd

Observation de8058f7-3913-4d30-a277-debc3aaf6e44 · outbound

This paper cites and Chan, P.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Chan, P

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:44.761792Z digest=sha256:91b7c4889c3f604c3284ebc068098b137b7369e4e9f9a300dd482c5061100e84

Observation 7470b299-a5b4-45ea-8f21-47d3221b44ec · outbound

This paper cites and Wen, J.-R.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Wen, J.-R

Reference 27

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raw_fallback, observed 2026-08-07T12:52:48.772687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:44.884080Z digest=sha256:2f58b58c07f4df61080c07eca799827b1ff81d2f62876c7a99d969ce5291ba79

Observation ba9a0229-acb2-4a61-ab46-6ada2384b8d4 · outbound

This paper cites A., Zafeiriou, S., and Schuller, B.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning A., Zafeiriou, S., and Schuller, B

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:48.501506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.033260Z digest=sha256:accbfdb0163057ec26c9a9edb41ebb1bbf0b64ac51e847da074e229865cc9396

Observation 939c70dc-50c7-4e80-bee4-da0e247476de · outbound

This paper cites Time Series Alignment with Global Invariances.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Time Series Alignment with Global Invariances

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:52:46.918723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.186271Z digest=sha256:891a16614346e12d2086281f01186b3f097e8ec2a540301a07e9c3393fe1ce74

Observation 16001448-b350-4863-88af-748a5feb9387 · outbound

This paper cites an unresolved cited work.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-07T12:52:48.313934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.287421Z digest=sha256:c0c6cb89d588fee20ed9754885ef2066332b1fed3a825cfc5f862396ccbd659e

Observation 6513064a-174a-4bae-acf2-cb85e660b8bb · outbound

This paper cites Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:52:46.668076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.414367Z digest=sha256:3a5fc463de5ff265cb59914ac100c49fbd2e9435ed616d164101b8a6ef8c895c

Observation 1cea4960-d3a5-4ca7-bec5-6638ecd84fb6 · outbound

This paper cites S., Eyal, M., Skafte Detlefsen, N., Shriki, O., and Freifeld, O.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning S., Eyal, M., Skafte Detlefsen, N., Shriki, O., and Freifeld, O

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:48.070496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.566294Z digest=sha256:074ac94dc87ea1b7ecc3f8b8d357865bb8f89c769029bf142693a73b963d5d41

Observation 1f4d9022-dfb8-4a12-a991-70b3a9d40995 · outbound

This paper cites and Keogh, E.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Keogh, E

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T12:52:47.934241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.677770Z digest=sha256:c0d3fb929a3cf6913f6c6a0c198ac60db0615c8c6a6b9c6aec1b8eaaee3a93d1

Observation 0294f8af-59fb-4da0-b9a0-dcab6a76eebb · outbound

This paper cites Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:52:46.375816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.816396Z digest=sha256:0e085942ded2bffc76e207a93c905f1c8fdbe930dddbabf5dca4b8bd5c4b91ee

Observation c31b84cd-b2dd-450c-aaf5-fd6f453db5b9 · outbound

This paper cites Warpformer: A multi-scale modeling approach for irregular clinical time series.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Warpformer: A multi-scale modeling approach for irregular clinical time series

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.665653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:45.916911Z digest=sha256:44bd31214c39bb933c495903c68f2db222bf42a697c56b1b1c0f6c28973c83e1

Observation 5af08811-fe2a-4978-bebd-5be7386bf0d2 · outbound

This paper cites and Itti, L.

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning and Itti, L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.422754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T12:52:46.026968Z digest=sha256:839701ae01a15ffbb0bf5ec05a2484d0ec81b7324185cc6f4a62d067f2c1631e

Pith citing papers

No inbound Pith citation observations are available.