Paper Citation Record · LEDGER

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

As of 4 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 7 inbound Pith citation observations for arXiv:2603.04791.

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

pith.paper-citation-record.v1
2603.04791 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T16:49:19.112440Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T14:53:59.401414Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

61 of 61 outbound references displayed

verified exact29
verified fuzzy32
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81cce2cd-ade3-4ef2-8ff9-3748742082c3 · outbound

This paper cites Gift-eval: A benchmark for general time series forecasting model evaluation.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Gift-eval: A benchmark for general time series forecasting model evaluation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.375055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4df8cce3-38e5-4761-a3ce-cb07004580e5 · outbound

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

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Chronos: Learning the Language of Time Series

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.918270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e15fdcc-e16e-46b1-924d-cd9482e74500 · outbound

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

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Chronos-2: From Univariate to Universal Forecasting

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.942739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1fc6448-6930-4216-9c09-d95e00d9c0fe · outbound

This paper cites ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.924826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9404c572-c4c9-4841-9403-693f6f7a0338 · outbound

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

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.937675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c6fb927-687a-443f-9b10-2f96123197ee · outbound

This paper cites AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.931522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0f31b26-83c9-4a1c-8772-b2cdb4ae5bb8 · outbound

This paper cites A neural probabilistic language model.Advances in neural information processing systems, 13.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling A neural probabilistic language model.Advances in neural information processing systems, 13

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.379175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef234093-5522-4777-aebf-6ae3e6117051 · outbound

This paper cites Box and jenkins: time series analysis, forecasting and control.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Box and jenkins: time series analysis, forecasting and control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.371103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91e125b6-a1da-4b40-acb7-058e7cd7280c · outbound

This paper cites Lof: identifying density-based local outliers.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Lof: identifying density-based local outliers

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.366692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76d1cb55-8c01-4577-9187-359da5ccc665 · outbound

This paper cites Semi-supervised learning (chapelle, o.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Semi-supervised learning (chapelle, o

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.286785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 820dceaa-cf3d-4930-bcd9-4ef56db26cca · outbound

This paper cites Toto: Time Series Optimized Transformer for Observability.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Toto: Time Series Optimized Transformer for Observability

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.973507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 355ba766-b468-4dc7-9c17-7264ac5165ce · outbound

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

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling A decoder-only foundation model for time-series forecasting

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:07:21.325848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ccdd73a1-43b6-4b07-9c71-77ebd03a3ca9 · outbound

This paper cites In-Context Fine-Tuning for Time-Series Foundation Models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling In-Context Fine-Tuning for Time-Series Foundation Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.913077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1347f26-d638-408a-94a5-9083758bebe2 · outbound

This paper cites Synapse: Adaptive arbitration of complementary expertise in time series foundational models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Synapse: Adaptive arbitration of complementary expertise in time series foundational models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.832827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f5bb4a6d-5e2e-4250-9dd6-fad2654ef681 · outbound

This paper cites ForecastPFN: Synthetically-Trained Zero-Shot Forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.943023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b4469e9-38d2-4992-aeaf-a47f93e2590b · outbound

This paper cites Rothenberg, and James H.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Rothenberg, and James H

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.290846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e97df8fb-afbc-4e4b-b70c-c3893f121ca2 · outbound

This paper cites The interpolation of time series by related series.JournaloftheAmericanStatisticalAssociation, 57(300):729–757.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling The interpolation of time series by related series.JournaloftheAmericanStatisticalAssociation, 57(300):729–757

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.354330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45530fd0-1288-4719-8bd7-ad41c0fff40e · outbound

This paper cites Timecopilot.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Timecopilot

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.799091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 210833ee-5488-4715-9de8-fa8cef6dfb5e · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Better & Faster Large Language Models via Multi-token Prediction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:26:09.884823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ec40043-9319-439a-a448-6862e1c60114 · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation.Journal of the American statistical Association, 102(477):359–378.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Strictly proper scoring rules, prediction, and estimation.Journal of the American statistical Association, 102(477):359–378

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.249743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1919708e-fd41-45ea-91af-500dad19fd4c · outbound

This paper cites Forecastable component analysis.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Forecastable component analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.244715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation def22747-0fa9-4d25-bc7c-5769f389ef66 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling MOMENT: A Family of Open Time-series Foundation Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.979290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 393198cd-af7b-450e-9794-f530fe9298dd · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081): 633–638.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081): 633–638

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.254389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 49307eda-e344-4fe1-a8ee-c6b86ea950e8 · outbound

This paper cites Query-key normalization for transformers.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Query-key normalization for transformers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.262766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 125a2888-3288-4840-99b1-1090e5c071d9 · outbound

This paper cites Forecasting: principles and practice.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Forecasting: principles and practice

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.270134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a25f760-4a6b-4a12-8d7c-de9ed2b6b8e7 · outbound

This paper cites Adaptive mixtures of local experts.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Adaptive mixtures of local experts

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.273814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd0a9c99-e83f-48e7-b2fa-9ca41bf76c59 · outbound

This paper cites The analysis of economic time-series-part i: Prices.Journal of the Royal Statistical Society.Series A (General), 116(1):11–34.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling The analysis of economic time-series-part i: Prices.Journal of the Royal Statistical Society.Series A (General), 116(1):11–34

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.343664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a07039e3-5024-4d6d-9606-888b007bc474 · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.338977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a82476e-c327-4bc0-8a5a-0d321832ab22 · outbound

This paper cites Time-series forecasting with deep learning: a survey.Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 379(2194).

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Time-series forecasting with deep learning: a survey.Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 379(2194)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.349219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2e093dc-01f7-4c47-928d-1fd3e1d2948d · outbound

This paper cites Flow Matching for Generative Modeling.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Flow Matching for Generative Modeling

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.872431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8108fb9-01a6-4d27-8446-ec07922a7070 · outbound

This paper cites DeepSeek-V3 Technical Report.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling DeepSeek-V3 Technical Report

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.878367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5db3e6d-e987-4a9e-9bd7-35cfc79396f6 · outbound

This paper cites Moirai 2.0: When less is more for time series forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Moirai 2.0: When less is more for time series forecasting

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.954774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c66d3d0-316f-40da-a6b0-397c2d37a545 · outbound

This paper cites Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.967956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d811edc-f1f4-4fc3-8e3d-30a2a6fd6653 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.Advancesin Neural Information Processing Systems, 35:9881–9893.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Non-stationary transformers: Exploring the stationarity in time series forecasting.Advancesin Neural Information Processing Systems, 35:9881–9893

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.362651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 636fe0a1-4790-4d8e-b461-c24d7070e04e · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.960836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b424beb-105a-46fb-84ca-295b1aa42faf · outbound

This paper cites Timer: Generative pre-trained transformers are large time series models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Timer: Generative pre-trained transformers are large time series models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.282332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b711c41-f1ec-4022-a2fe-877587d2cb5f · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.897669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30b9b29e-8fb9-4874-ae4b-b6979667727e · outbound

This paper cites The Serial Scaling Hypothesis.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling The Serial Scaling Hypothesis

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.948800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f65571ee-cbe1-4473-8d64-3a3880b5fee1 · outbound

This paper cites VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.818660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d95efb62-7edf-4adb-8d67-a124c9864ba1 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.811496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e487ae84-bb3b-4dc6-acf2-7bd87b6c2e46 · outbound

This paper cites The language instinct: How the mind creates language.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling The language instinct: How the mind creates language

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.259022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bdd0b30-fe3f-45ac-bdfc-2c64664281ca · outbound

This paper cites Efficiently scaling transformer inference.Proceedings of Machine Learning and Systems, 5:606–624.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Efficiently scaling transformer inference.Proceedings of Machine Learning and Systems, 5:606–624

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.266491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f73b8f4f-3ab6-4411-9e78-e68f1cf27316 · outbound

This paper cites Non-linear and non-stationary time series analysis.London: Academic Press.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Non-linear and non-stationary time series analysis.London: Academic Press

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.277440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9a998e6-ce29-445b-a07b-7e9acf52e0f4 · outbound

This paper cites Cora: Covariate-aware adaptation of time series foundation models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Cora: Covariate-aware adaptation of time series foundation models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.936911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8877d347-7933-4b06-bcec-7df90c9bb86f · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.International journal of forecasting, 36(3):1181–1191.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Deepar: Probabilistic forecasting with autoregressive recurrent networks.International journal of forecasting, 36(3):1181–1191

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.358864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2a419e13-f64d-46a1-9278-d76f301f5bbe · outbound

This paper cites Scaling Law for Time Series Forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Scaling Law for Time Series Forecasting

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.891840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c171e890-0602-440f-876e-d987b8aab6a2 · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.893718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50832a49-d950-43ee-822f-80e05e6441e3 · outbound

This paper cites Estimating conditional quantiles with the help of the pinball loss.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Estimating conditional quantiles with the help of the pinball loss

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.320344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55db4ecc-1cf3-4843-8925-ea65bcbae4ea · outbound

This paper cites Blockwise parallel decoding for deep autoregressive models.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Blockwise parallel decoding for deep autoregressive models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.324361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5e7bc11-2e9f-4615-8287-065cdff7e8c1 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.312168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83a17a42-02fd-416b-96eb-67957698b0b0 · outbound

This paper cites Powerpm: Foundation model for power systems.Advancesin Neural Information Processing Systems, 37:115233–115260.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Powerpm: Foundation model for power systems.Advancesin Neural Information Processing Systems, 37:115233–115260

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.307777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d74be8d-4186-4b96-86c5-736b57bac301 · outbound

This paper cites Attention is all you need.Advancesin neural information processing systems, 30.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Attention is all you need.Advancesin neural information processing systems, 30

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.316250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9b3fad4-ccab-4336-8a9f-2a79f6c8cbba · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:50:10.918634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18b17f96-e0c5-494c-9368-b398fa139286 · outbound

This paper cites Transformers in Time Series: A Survey.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Transformers in Time Series: A Survey

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.866623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06f43c22-9aaf-441a-bd71-549c4e3992b0 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Unified Training of Universal Time Series Forecasting Transformers

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.931229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69a23ded-eee3-439a-8437-e97835f67491 · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model.Nature Machine Intelligence, 5(6):602–611.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Interpretable weather forecasting for worldwide stations with a unified deep model.Nature Machine Intelligence, 5(6):602–611

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.299054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b5c554d-76a7-46f0-a66c-ed1159590b0d · outbound

This paper cites On layer normalization in the transformer architecture.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling On layer normalization in the transformer architecture

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.303307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aed4bcf1-5163-44ab-b8a6-a35b715e7471 · outbound

This paper cites Root mean square layer normalization.Advancesin neural information processing systems, 32.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Root mean square layer normalization.Advancesin neural information processing systems, 32

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.334520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff4be919-049a-4a68-becc-63639f9a4dd8 · outbound

This paper cites Trajectory flow matching with applications to clinical time series modelling.Advances in Neural Information Processing Systems, 37:107198–107224.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Trajectory flow matching with applications to clinical time series modelling.Advances in Neural Information Processing Systems, 37:107198–107224

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.329803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f9c55f3-efbb-4ddc-af3f-4fc5170c96d8 · outbound

This paper cites Timeseriesscientist: A general-purpose ai agent for time series analysis.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Timeseriesscientist: A general-purpose ai agent for time series analysis

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:50:10.905178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0075755c-cc13-4199-a409-887a0c0d2ab5 · outbound

This paper cites Fincast: A foundation model for financial time- series forecasting.

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling Fincast: A foundation model for financial time- series forecasting

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:50:12.294829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation cf033f19-4f44-427c-b91b-f6614d6fa803 · inbound

Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition cites this paper.

Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-05-11T02:25:54.772124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 377397d7-8a00-4465-924a-0035cc42955a · inbound

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting cites this paper.

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:34:39.217940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe96a1cb-549a-4c09-bebc-e89019304340 · inbound

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling cites this paper.

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:13:48.753702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 604f3b3b-a8fb-4f7b-89a1-6ad628d9cd3e · inbound

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning cites this paper.

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:36:29.889542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3456af72-404d-4a4a-b3f6-fb0875adf9c6 · inbound

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting cites this paper.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.132172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e0a35f5-2f1a-44be-908d-25b72e4ef9a5 · inbound

Unified Zero-Shot Time Series Forecasting: A Darts Foundation cites this paper.

Unified Zero-Shot Time Series Forecasting: A Darts Foundation Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:55:58.440278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76523d5e-e40d-435c-8808-3983a09a3dbc · inbound

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming cites this paper.

TiRex-2: Generalizing TiRex to Multivariate Data and Streaming Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-02T14:57:03.599294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.