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Paper Citation Record · LEDGER

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.08119.

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

pith.paper-citation-record.v1
2608.08119 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:27:48.985736Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

44 of 44 outbound references displayed

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  • verified fuzzy18
  • unresolved23
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 435771f3-1f1f-46a7-9a51-cc0e51c226ee · outbound

This paper cites Gluonts: Probabilistic and neural time series modeling in python.Journal of Machine Learning Research, 21(116):1–6, 2020.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Gluonts: Probabilistic and neural time series modeling in python.Journal of Machine Learning Research, 21(116):1–6, 2020

Reference 1

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Source-reported events for the cited work

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Observation 71c16259-dba2-468d-9835-d70d22db441b · outbound

This paper cites Geometric dataset distances via optimal transport.Advances in Neural Information Processing Systems, 33:21428–21439, 2020.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Geometric dataset distances via optimal transport.Advances in Neural Information Processing Systems, 33:21428–21439, 2020

Reference 2

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no resolver link, observed 2026-08-12T00:27:47.715784Z

Source-reported events for the cited work

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Observation fc49ab03-5ecd-438c-8434-45a4eb844170 · outbound

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

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Chronos: Learning the Language of Time Series

Reference 3

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Observation 11a279fc-05f3-4733-b11d-40c36aef3c90 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449–12460, 2020.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity wav2vec 2.0: A framework for self-supervised learning of speech representations.Advances in neural information processing systems, 33:12449–12460, 2020

Reference 4

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Observation 396ae5fc-5009-415c-8375-7148eb59385c · outbound

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

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity The UEA multivariate time series classification archive, 2018

Reference 5

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Observation a2184f23-6bbc-47a0-9c05-65339e4d8ed0 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Recurrent neural networks for multivariate time series with missing values

Reference 6

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Observation 53fd3198-0dca-42c9-9a6d-781ad9ef97e4 · outbound

This paper cites Measuring Time-Series Dataset Similarity using Wasserstein Distance.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Measuring Time-Series Dataset Similarity using Wasserstein Distance

Reference 7

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verified exact
local_arxiv, observed 2026-08-12T00:27:50.973770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 030f02f2-8c38-484f-b1da-b64c242ae7e0 · outbound

This paper cites Nearest neighbor pattern classification.IEEE transactions on information theory, 13(1):21–27, 1967.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Nearest neighbor pattern classification.IEEE transactions on information theory, 13(1):21–27, 1967

Reference 8

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Observation fa43f7f4-3e92-4ffa-be81-4b91b9128b81 · outbound

This paper cites Soft-dtw: a differentiable loss function for time-series.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Soft-dtw: a differentiable loss function for time-series

Reference 9

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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 2026-08-22T06:32:14.747728+00:00.

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Observation 68f705c7-b04d-486b-978a-963c2eb2740e · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity A decoder-only foundation model for time-series forecasting

Reference 10

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Observation 99d1e5bf-23d4-499d-89b0-a12debca838e · outbound

This paper cites Querying and mining of time series data: Experimental comparison of representations and distance measures.Proc.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Querying and mining of time series data: Experimental comparison of representations and distance measures.Proc

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6aec64e8-57d3-4fd5-a216-484cff737ec8 · outbound

This paper cites The impact of data set similarity and diversity on transfer learning success in time series forecasting.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity The impact of data set similarity and diversity on transfer learning success in time series forecasting

Reference 12

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Observation 504493c7-63b7-406a-a95e-89a4b00cd2c7 · outbound

This paper cites Fast subsequence matching in time-series databases.ACM Sigmod Record, 23(2):419– 429, 1994.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Fast subsequence matching in time-series databases.ACM Sigmod Record, 23(2):419– 429, 1994

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a4d458a1-bd39-4927-abef-d4f516f33a58 · outbound

This paper cites Transfer learning for time series classification.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Transfer learning for time series classification

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 525cf873-75d9-47bd-afad-5afd483f60db · outbound

This paper cites Computational optimal transport with applica- tions to data sciences.Foundations and Trends®in Machine Learning, 11(5-6):355– 607, 2019.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Computational optimal transport with applica- tions to data sciences.Foundations and Trends®in Machine Learning, 11(5-6):355– 607, 2019

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0361db37-14f9-4e65-ae2a-c31b99b86af4 · outbound

This paper cites A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity A kernel two-sample test.The journal of machine learning research, 13(1):723–773, 2012

Reference 16

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Observation b8c4c4e6-9421-4a92-aa89-ca58502cf4c0 · outbound

This paper cites Retrieval Augmented Time Series Forecasting.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Retrieval Augmented Time Series Forecasting

Reference 17

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Observation f7c3919c-ce1d-4497-9bdc-116546fd9811 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Multitask learning and benchmarking with clinical time series data

Reference 18

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Observation c7ad5ba0-8a01-4b96-a7dd-d36af1247b15 · outbound

This paper cites Darts: User-friendly modern machine learning for time series.Journal of Machine Learning Research, 23(124):1–6, 2022.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Darts: User-friendly modern machine learning for time series.Journal of Machine Learning Research, 23(124):1–6, 2022

Reference 19

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Source-reported events for the cited work

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Observation 4448230f-3211-4ed4-a4fb-11dca8823ec3 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 20

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Observation 420bc1a0-bc8a-420e-a58f-9ec339469b10 · outbound

This paper cites Time-llm: Time series forecasting by reprogramming large language models.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Time-llm: Time series forecasting by reprogramming large language models

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c06d1dba-3568-460c-b9f8-68beace16c06 · outbound

This paper cites Unitime: A language-empowered unified model for cross-domain time series forecasting.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unitime: A language-empowered unified model for cross-domain time series forecasting

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a1620a9e-052e-4ad5-b1a4-b1b722667a60 · outbound

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

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity sktime: A Unified Interface for Machine Learning with Time Series

Reference 23

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Observation 5aa266b7-852b-4eee-ad04-f5d04357d5e2 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity ClimaX: A foundation model for weather and climate

Reference 24

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Observation 70d7703a-6e6b-4715-b11f-71edf21097f3 · outbound

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TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unresolved cited work

Reference 25

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Observation ec1fbc6b-6569-49bd-b46d-f92276873775 · outbound

This paper cites Match-and-deform: Time series domain adap- tation through optimal transport and temporal alignment.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Match-and-deform: Time series domain adap- tation through optimal transport and temporal alignment

Reference 26

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Source-reported events for the cited work

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Observation a0dfe36a-fbc3-4119-bbfa-83705d50ae46 · outbound

This paper cites Tsb-uad: An end-to-end benchmark suite for univariate time-series anomaly detection.Proc.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Tsb-uad: An end-to-end benchmark suite for univariate time-series anomaly detection.Proc

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 67f4cf8e-5b0e-4020-84e1-ee42eb89f524 · outbound

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TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unresolved cited work

Reference 28

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Observation 30ca34c9-2f5c-499f-8637-bd5eba6636b7 · outbound

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TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unresolved cited work

Reference 29

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Observation e98cc7ad-1e3a-475d-ae60-69c005fa3114 · outbound

This paper cites A global averaging method for dynamic time warping, with applications to clustering.Pattern recognition, 44(3):678–693, 2011.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity A global averaging method for dynamic time warping, with applications to clustering.Pattern recognition, 44(3):678–693, 2011

Reference 30

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Observation 4043e460-9591-4c8e-ac32-c9fcd654348e · outbound

This paper cites TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Reference 31

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Observation 95bdcc98-71ec-42dd-a4d6-8d30b7c5faa8 · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 32

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Observation c32923fe-b09e-4124-9386-8ab6d5870768 · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition.IEEE transactions on acoustics, speech, and signal processing, 26(1):43–49, 1978.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Dynamic programming algorithm optimization for spoken word recognition.IEEE transactions on acoustics, speech, and signal processing, 26(1):43–49, 1978

Reference 33

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Observation f21927e5-fbbe-44ea-8ab7-f1a84c1743a3 · outbound

This paper cites Time-moe: Billion-scale time series foundation models with mixture of experts.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Time-moe: Billion-scale time series foundation models with mixture of experts

Reference 34

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raw_fallback, observed 2026-08-12T00:27:52.064814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.750719Z digest=sha256:f02a6e645eeb32fbaea51dd92eeae982a93c766910c77b22b4f4085395f178c7

Observation 563b3f3c-c80e-46f8-8db1-cd3857915fb7 · outbound

This paper cites Quantifying Data Similarity Using Cross Learning.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Quantifying Data Similarity Using Cross Learning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:27:49.764765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.794931Z digest=sha256:474ee03ddee2e8860e2f9c1f8876298a95f6bec261dff23ae4e41eb5698abbb1

Observation 4eb08a1d-bfe6-4208-930e-c19dd60a5e2c · outbound

This paper cites Tslearn, a machine learning toolkit for time series data.Journal of machine learning research, 21(118):1–6, 2020.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Tslearn, a machine learning toolkit for time series data.Journal of machine learning research, 21(118):1–6, 2020

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.961985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.842004Z digest=sha256:ab4d6612c4ac9a51a09396b16f174b4f592a685d4a357fd0d76db0d799a16275

Observation e48bf85f-5620-4d0d-91a0-a1345de7cfb4 · outbound

This paper cites Discovering similar multidimensional trajectories.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Discovering similar multidimensional trajectories

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.870849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.848362Z digest=sha256:3f69d4810227e3a8ecfe054087cd52ee1566cf2ccf76f9609a6f318e2b79513a

Observation 060fce23-3c51-48ad-b7bf-757a22b9cce5 · outbound

This paper cites Deep time series models: A comprehensive survey and benchmark.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Deep time series models: A comprehensive survey and benchmark.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.735177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.865641Z digest=sha256:a81c9e518c6c2893474ad0cdf1a0bd7a33036a8aca3040a459dc2697233f5e08

Observation 368c28ab-2c20-4703-a785-66b22f79f9e2 · outbound

This paper cites Unified training of universal time series forecasting transformers.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unified training of universal time series forecasting transformers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T00:27:48.885519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:27:48.885519Z digest=sha256:6e2f10de010fbc02771798f37e19ad0fdaff1673ade8a6dc4f8e44e593431fc7

Observation 9f225da4-b8f2-4a99-a27d-6d9dc558b5ad · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T00:27:48.934757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:27:48.934757Z digest=sha256:69b1e5bdedfb97cff0ed25fb48180cf57ff9f625ee67bd1369836bf0315a6162

Observation bb1cb2a1-a523-43ae-b0d8-17d5dec598cc · outbound

This paper cites Estimating time series foundation model transferability via in-context learning.arXiv preprint arXiv:2509.23695, 2025.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Estimating time series foundation model transferability via in-context learning.arXiv preprint arXiv:2509.23695, 2025

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-12T00:27:49.434767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.957750Z digest=sha256:33f95ecb31552fd078e35dc104f64dbafae6cf425ba1a9fa7796fc322e1aa93b

Observation 842f4c4a-1959-485d-b84b-84f71bcece57 · outbound

This paper cites Stock price prediction via discovering multi-frequency trading patterns.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Stock price prediction via discovering multi-frequency trading patterns

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.534750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.973681Z digest=sha256:e8e0f5dcec8f5ea150fe10c778fa1521b883d282e47e2e3ed375cea682b2ee81

Observation 8a215ba0-3e1d-4b41-a72e-893d997781b4 · outbound

This paper cites Unified transferability metrics for time series foundation models.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity Unified transferability metrics for time series foundation models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.404847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.978312Z digest=sha256:e4190e7da02d962444a4c73420aa88410d266fd3108db03041d8d89a1633726e

Observation 2bc01982-9714-495a-a6ae-62e8260f1808 · outbound

This paper cites A similarity-based time series source dataset selection method for transfer learning.

TSDS-Toolbox: A Toolbox for Measuring Time-Series Dataset Similarity A similarity-based time series source dataset selection method for transfer learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:27:51.271344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T00:27:48.985736Z digest=sha256:3dbb6c4fa385f2cb3dbc06bf6ede566ddcc65cc808c6014c98e486d2599d94ad

Pith citing papers

No inbound Pith citation observations are available.