Paper Citation Record · LEDGER

TimEE: End-to-end Time Series Classification via In-Context Learning

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.07500.

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

pith.paper-citation-record.v1
2607.07500 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T09:05:48.744756Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact15
verified fuzzy18
unresolved1
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22bf898e-52f8-4751-8558-16f66bc903b4 · outbound

This paper cites Maddix, Hao Wang, Michael W.

TimEE: End-to-end Time Series Classification via In-Context Learning Maddix, Hao Wang, Michael W

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.189973Z

Source-reported events for the cited work

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Observation 24ec8958-aec3-4edc-8013-26f53ce46f25 · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

TimEE: End-to-end Time Series Classification via In-Context Learning Chronos-2: From Univariate to Universal Forecasting

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T09:06:06.099862Z

Source-reported events for the cited work

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Observation e04c2119-f933-4027-be2d-d243f2e01c20 · outbound

This paper cites Pre-trained forecasting models: Strong zero-shot feature extractors for time series classification, 2025 a.

TimEE: End-to-end Time Series Classification via In-Context Learning Pre-trained forecasting models: Strong zero-shot feature extractors for time series classification, 2025 a

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.106386Z

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Observation 70974ee8-1e69-4369-a964-e130158d3a12 · outbound

This paper cites Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning.

TimEE: End-to-end Time Series Classification via In-Context Learning Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.105945Z

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Observation 2a7fb657-4cf6-424d-8444-70e4d12506bc · outbound

This paper cites The UEA multivariate time series classification archive, 2018.

TimEE: End-to-end Time Series Classification via In-Context Learning The UEA multivariate time series classification archive, 2018

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.067534Z

Source-reported events for the cited work

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Observation dfef724b-e3e2-4fec-8d9a-559f64bf080d · outbound

This paper cites The UCR Time Series Classification Archive , July 2015.

TimEE: End-to-end Time Series Classification via In-Context Learning The UCR Time Series Classification Archive , July 2015

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.195986Z

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.

Observation 7a4c030a-5716-438a-9c4a-7e616db6590e · outbound

This paper cites ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels.

TimEE: End-to-end Time Series Classification via In-Context Learning ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T09:06:06.038985Z

Source-reported events for the cited work

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Observation 9af5d1f6-d8ce-4f22-93a8-bacd40fba025 · outbound

This paper cites Minirocket: A very fast (almost) deterministic transform for time series classification.

TimEE: End-to-end Time Series Classification via In-Context Learning Minirocket: A very fast (almost) deterministic transform for time series classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.201158Z

Source-reported events for the cited work

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Observation 99740ae5-2f0f-4fa4-ba20-6c52631f6521 · outbound

This paper cites Hydra: competing convolutional kernels for fast and accurate time series classification: A.

TimEE: End-to-end Time Series Classification via In-Context Learning Hydra: competing convolutional kernels for fast and accurate time series classification: A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.181067Z

Source-reported events for the cited work

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Observation 595c74bc-72a4-449f-a4c5-76360e40b377 · outbound

This paper cites Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference.

TimEE: End-to-end Time Series Classification via In-Context Learning Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:21:28.571793Z

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.

Observation edb645ce-0e51-4f02-815b-2a6f4dc5e21a · outbound

This paper cites Mantis: Lightweight Foundation Model for Time Series Classification.

TimEE: End-to-end Time Series Classification via In-Context Learning Mantis: Lightweight Foundation Model for Time Series Classification

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.099007Z

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.

Observation 64148665-f368-4cbb-b7d2-663b5ecfcbb6 · outbound

This paper cites Mantisv2: Closing the zero-shot gap in time series classification with synthetic data and test-time strategies.

TimEE: End-to-end Time Series Classification via In-Context Learning Mantisv2: Closing the zero-shot gap in time series classification with synthetic data and test-time strategies

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.089116Z

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.

Observation 904c173b-a5d3-45e9-957b-f0d43ea93360 · outbound

This paper cites MOMENT : a family of open time-series foundation models.

TimEE: End-to-end Time Series Classification via In-Context Learning MOMENT : a family of open time-series foundation models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.196853Z

Source-reported events for the cited work

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Observation 4e86b00a-4333-4789-8cb5-def70fa101c3 · outbound

This paper cites TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models.

TimEE: End-to-end Time Series Classification via In-Context Learning TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.102975Z

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Observation a585f269-95c7-4257-a0d5-4b918eb61ea5 · outbound

This paper cites Harris, K.

TimEE: End-to-end Time Series Classification via In-Context Learning Harris, K

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.194728Z

Source-reported events for the cited work

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Observation efacbbc6-393c-47b6-92c4-e11d8595c0a7 · outbound

This paper cites Hollmann, S.

TimEE: End-to-end Time Series Classification via In-Context Learning Hollmann, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.191734Z

Source-reported events for the cited work

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Observation ef3dc286-a9f9-42e6-a35e-1201c5b568c4 · outbound

This paper cites u ller, L. Purucker, A. Krishnakumar, M. K \.

TimEE: End-to-end Time Series Classification via In-Context Learning u ller, L. Purucker, A. Krishnakumar, M. K \

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.198043Z

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Observation f7628440-0a55-454b-80e9-905e45014844 · outbound

This paper cites Data Mining and Knowledge Discovery34, 1936–1962 (2020).

TimEE: End-to-end Time Series Classification via In-Context Learning Data Mining and Knowledge Discovery34, 1936–1962 (2020)

Reference 18

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Source-reported events for the cited work

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Observation 41ff884e-f39c-4856-8a0b-584196d5990d · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

TimEE: End-to-end Time Series Classification via In-Context Learning Muon: An optimizer for hidden layers in neural networks, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.171707Z

Source-reported events for the cited work

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Observation c8218235-8f64-410c-a660-72671aa76c84 · outbound

This paper cites Data augmentation with suboptimal warping for time-series classification.

TimEE: End-to-end Time Series Classification via In-Context Learning Data augmentation with suboptimal warping for time-series classification

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.192327Z

Source-reported events for the cited work

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Observation 0692f1bd-eaa8-4584-91b9-6fed71336ad6 · outbound

This paper cites NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining.

TimEE: End-to-end Time Series Classification via In-Context Learning NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.102171Z

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Observation d6aece3e-baf3-46b4-a53c-5771a8c2a8f3 · outbound

This paper cites Decoupled Weight Decay Regularization.

TimEE: End-to-end Time Series Classification via In-Context Learning Decoupled Weight Decay Regularization

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.074885Z

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Observation d5d1690b-9898-42b1-9431-3e0989e9ad33 · outbound

This paper cites catch22: CAnonical Time-series CHaracteristics.

TimEE: End-to-end Time Series Classification via In-Context Learning catch22: CAnonical Time-series CHaracteristics

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.109519Z

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Observation 6a8f9048-3f8c-4cf7-a7b0-142cdab1a206 · outbound

This paper cites Springer, Berlin, Heidelberg (2005).

TimEE: End-to-end Time Series Classification via In-Context Learning Springer, Berlin, Heidelberg (2005)

Reference 24

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Source-reported events for the cited work

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Observation c28d7f8d-2bc8-4410-a876-1d8bd2f6b8e6 · outbound

This paper cites aeon: a python toolkit for learning from time series.

TimEE: End-to-end Time Series Classification via In-Context Learning aeon: a python toolkit for learning from time series

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.185690Z

Source-reported events for the cited work

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Observation 1fcbc7e9-4416-4c46-a097-27276ac341ed · outbound

This paper cites Transformers Can Do Bayesian Inference.

TimEE: End-to-end Time Series Classification via In-Context Learning Transformers Can Do Bayesian Inference

Reference 26

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Observation 2cddfa93-14c5-4f77-8fae-eeb41f97c021 · outbound

This paper cites Paszke, S.

TimEE: End-to-end Time Series Classification via In-Context Learning Paszke, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.189679Z

Source-reported events for the cited work

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Observation 6beac6a7-21b7-44c2-ae30-a984f31afa68 · outbound

This paper cites Pedregosa, G.

TimEE: End-to-end Time Series Classification via In-Context Learning Pedregosa, G

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.193785Z

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Observation f43989bf-dcae-4ee2-b9c6-2563fb17c2aa · outbound

This paper cites Provost, Tom Fawcett, and Ron Kohavi.

TimEE: End-to-end Time Series Classification via In-Context Learning Provost, Tom Fawcett, and Ron Kohavi

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.175969Z

Source-reported events for the cited work

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Observation 7d9825ef-e135-4999-a85d-7b358e0ea4c5 · outbound

This paper cites Structural Classification of Locally Stationary Time Series Based on Second-order Characteristics.

TimEE: End-to-end Time Series Classification via In-Context Learning Structural Classification of Locally Stationary Time Series Based on Second-order Characteristics

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.092682Z

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Observation fd637fa8-d8f4-421e-a46d-78e0015428a9 · outbound

This paper cites TabICL: A Tabular Foundation Model for In-Context Learning on Large Data.

TimEE: End-to-end Time Series Classification via In-Context Learning TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.084991Z

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Observation 79163978-7f93-4bfb-9bcd-989ee6363193 · outbound

This paper cites TabICLv2: A better, faster, scalable, and open tabular foundation model.arXiv preprint arXiv:2602.11139.

TimEE: End-to-end Time Series Classification via In-Context Learning TabICLv2: A better, faster, scalable, and open tabular foundation model.arXiv preprint arXiv:2602.11139

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.085110Z

Source-reported events for the cited work

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Observation 3fd977b9-0457-4e7c-8550-fedb83ff5b9c · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition.

TimEE: End-to-end Time Series Classification via In-Context Learning Dynamic programming algorithm optimization for spoken word recognition

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.203693Z

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Observation bb2d5818-3a15-4a8e-9aff-c30b72e4b4c2 · outbound

This paper cites The trade-off between universality and label efficiency of representations from contrastive learning.

TimEE: End-to-end Time Series Classification via In-Context Learning The trade-off between universality and label efficiency of representations from contrastive learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.187629Z

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Observation ff662435-2629-4c40-84c4-c9dba781e8c7 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

TimEE: End-to-end Time Series Classification via In-Context Learning Roformer: Enhanced transformer with rotary position embedding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.178570Z

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Observation eb71d2de-0d74-489b-ac2b-7cd58d1f57ae · outbound

This paper cites Detecting strange attractors in turbulence.

TimEE: End-to-end Time Series Classification via In-Context Learning Detecting strange attractors in turbulence

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T09:06:06.175733Z

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Observation 5b451ab2-8284-4a58-9e1c-0677dfeb4eed · outbound

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TimEE: End-to-end Time Series Classification via In-Context Learning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-07-09T09:06:06.173628Z

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Observation 86d9e64e-dcc8-4fcd-95c6-0b807f420805 · outbound

This paper cites 48550/arXiv.2508.02879.

TimEE: End-to-end Time Series Classification via In-Context Learning 48550/arXiv.2508.02879

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T09:06:06.096037Z

Source-reported events for the cited work

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Observation efe89346-3a9b-4ae9-984c-f951e71269e8 · outbound

This paper cites Tict: A synthetically pre-trained foundation model for time series classification, 2025.

TimEE: End-to-end Time Series Classification via In-Context Learning Tict: A synthetically pre-trained foundation model for time series classification, 2025

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-09T09:06:06.038966Z

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.

Observation 92b552d7-32ff-48ba-852e-c1e6fd915591 · outbound

This paper cites TS2Vec: Towards Universal Representation of Time Series.

TimEE: End-to-end Time Series Classification via In-Context Learning TS2Vec: Towards Universal Representation of Time Series

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:06:06.077855Z

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.

Pith citing papers

No inbound Pith citation observations are available.