Paper Citation Record · LEDGER

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.13006.

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

pith.paper-citation-record.v1
2607.13006 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:42.147502Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

43 of 43 outbound references displayed

verified exact8
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34d1c722-0a77-461f-9555-01a8338a1257 · outbound

This paper cites an unresolved cited work.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.093414Z

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Observation d8265c35-9cad-4c00-976c-6284ca3ff858 · outbound

This paper cites Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.174679Z

Source-reported events for the cited work

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Observation 131817a2-e2ef-4405-b25f-b76c04cd4bce · outbound

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

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Chronos: Learning the Language of Time Series

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.243663Z

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Observation effc69c6-d634-4637-b17d-1c6452ee374d · outbound

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

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Chronos-2: From Univariate to Universal Forecasting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.305948Z

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Observation 5d2d435a-a44f-4337-83ee-700564391230 · outbound

This paper cites Permutation entropy: A natural complexity measure for time series.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Permutation entropy: A natural complexity measure for time series

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.372350Z

Source-reported events for the cited work

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Observation cf6413bd-810b-4743-8135-e269bea4fbbc · outbound

This paper cites There are no champions in supervised long-term time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting There are no champions in supervised long-term time series forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.501556Z

Source-reported events for the cited work

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Observation 32668b1c-0bc7-44fb-941d-bd941a906742 · outbound

This paper cites Why Do Time Series Models Need Long Context Windows?.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Why Do Time Series Models Need Long Context Windows?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.667888Z

Source-reported events for the cited work

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Observation 751ef215-0ec7-45f8-8b51-bf20cac37554 · outbound

This paper cites Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.822507Z

Source-reported events for the cited work

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Observation 90fa1fa4-f1fa-480b-ac29-2e63e07afb6b · outbound

This paper cites Forecastability as an information-theoretic limit on prediction, 2026.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Forecastability as an information-theoretic limit on prediction, 2026

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:38.936578Z

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Observation 02e94883-0347-4254-bb5b-8eef0aa71f79 · outbound

This paper cites Dickey and Wayne A.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Dickey and Wayne A

Reference 10

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Source-reported events for the cited work

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Observation ca89de7a-8720-4df5-8e8d-3708d82babcb · outbound

This paper cites Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.177755Z

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Observation dfc9b3b0-fccd-466a-bc58-92b5b6917e4f · outbound

This paper cites Model-free quantification of time-series predictability.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Model-free quantification of time-series predictability

Reference 12

Resolution: verified exact; doi, observed 2026-08-02T06:18:25.437007Z

Source-reported events for the cited work

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Observation d7bf7e63-cd3b-4654-8d3b-17b9d9b2678e · outbound

This paper cites Forecastable Component Analysis.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Forecastable Component Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.521499Z

Source-reported events for the cited work

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Observation 6aa24634-cbed-4ac6-b335-67f7c80950e2 · outbound

This paper cites Retrieval augmented time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Retrieval augmented time series forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.573285Z

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Observation 108df9f2-0868-408b-93c8-b90eb45262e1 · outbound

This paper cites Attractor memory for long-term time series forecasting: A chaos perspective.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Attractor memory for long-term time series forecasting: A chaos perspective

Reference 15

Resolution: verified exact; doi, observed 2026-08-02T06:18:25.205622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64ee65e4-4eb4-4646-be00-0488cf043f92 · outbound

This paper cites Channel-wise retrieval for multivariate time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Channel-wise retrieval for multivariate time series forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.752020Z

Source-reported events for the cited work

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Observation 58c66494-da89-4613-a8ec-30ca27e8f65f · outbound

This paper cites A symbolic representation of time series, with implications for streaming algorithms.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting A symbolic representation of time series, with implications for streaming algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.859021Z

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Observation 7ba92132-396e-476d-9b98-d2e724c5c7fa · outbound

This paper cites Cyclenet: Enhancing time series forecasting through modeling periodic patterns.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Cyclenet: Enhancing time series forecasting through modeling periodic patterns

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.913044Z

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Observation f577e927-a490-4c25-9ebc-d41ff1faa6bf · outbound

This paper cites Moirai 2.0: When less is more for time series forecasting, 2026.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Moirai 2.0: When less is more for time series forecasting, 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:39.967915Z

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Observation f73a6e40-5f3a-49b8-a442-4052bef0c45e · outbound

This paper cites Retrieval-augmented diffusion models for time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Retrieval-augmented diffusion models for time series forecasting

Reference 20

Resolution: verified exact; doi, observed 2026-08-02T06:18:24.901306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d1d9e17-0959-4907-b9b6-adfa65e372a6 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting itransformer: Inverted transformers are effective for time series forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:40.192991Z

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Observation bf041b7c-27f8-4a67-948b-cfc8e223112d · outbound

This paper cites catch22: Canonical time-series characteristics selected through highly comparative time-series analysis.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting catch22: Canonical time-series characteristics selected through highly comparative time-series analysis

Reference 22

Resolution: verified exact; doi, observed 2026-08-02T06:18:24.560819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 572c157c-2f9f-401a-9dad-796a8fbab223 · outbound

This paper cites LETS Forecast: Learning Embedology for Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting LETS Forecast: Learning Embedology for Time Series Forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:40.367460Z

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Observation a1546a1f-6f3a-4a96-b159-e4f0a019ce87 · outbound

This paper cites Spectral Retrieval-Augmented Time-Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Spectral Retrieval-Augmented Time-Series Forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:40.506600Z

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Observation 1d221d29-54d9-4014-8c1b-746e87e6648e · outbound

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

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:40.654755Z

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Observation 4634d51b-260c-4063-a437-a3f0c9b2743e · outbound

This paper cites Nikias and M.R.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Nikias and M.R

Reference 26

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Observation 162c804f-d586-42c1-9c8b-a99cd9cf8f6d · outbound

This paper cites Generating surrogate data for time series with several simultaneously measured variables.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Generating surrogate data for time series with several simultaneously measured variables

Reference 27

Resolution: verified exact; doi, observed 2026-08-02T06:18:24.235572Z

Source-reported events for the cited work

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Observation cf57ea07-8c27-4703-b339-5a37c7f4029c · outbound

This paper cites R \"a th and R.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting R \"a th and R

Reference 28

Resolution: verified exact; doi, observed 2026-08-02T06:18:23.975508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0db703ff-1e7e-438a-addb-0424bc319cda · outbound

This paper cites Surrogate time series.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Surrogate time series

Reference 29

Resolution: verified exact; doi, observed 2026-08-02T06:18:23.643919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba037eb9-730e-467c-8068-dd889eebbb69 · outbound

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The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Unresolved cited work

Reference 30

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Observation 6a93b2cf-3203-4c1f-b523-7573b2b95706 · outbound

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The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Detecting strange attractors in turbulence

Reference 31

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Observation 7c62d4b8-de73-46f6-ab5b-f96183904927 · outbound

This paper cites Doyne Farmer.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Doyne Farmer

Reference 32

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Observation 232d4443-abb0-4b46-8f2e-b97b32e18198 · outbound

This paper cites Retrieval Augmented Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Retrieval Augmented Time Series Forecasting

Reference 33

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Observation d98d68d9-b8d6-4211-93da-40408d280ccb · outbound

This paper cites Spectral predictability as a fast reliability indicator for time series forecasting model selection, 2025 a.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Spectral predictability as a fast reliability indicator for time series forecasting model selection, 2025 a

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:41.507603Z

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Observation 1d863882-a692-47f4-abd4-1c2a0502f478 · outbound

This paper cites Time Series Forecastability Measures.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Time Series Forecastability Measures

Reference 35

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Observation e7b56977-bc64-484b-9493-83260484b55d · outbound

This paper cites Frequency matters: When time series foundation models fail under spectral shift, 2025 c.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Frequency matters: When time series foundation models fail under spectral shift, 2025 c

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:41.641477Z

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Observation 4266b124-0616-473a-81c4-46479f46e7b6 · outbound

This paper cites Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:41.724222Z

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Observation 0ec449fb-6c70-4cf7-aea1-dbe087583020 · outbound

This paper cites On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:41.778963Z

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Observation 15d919c8-4525-4bd6-8cc0-9da73ad11556 · outbound

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

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Unified training of universal time series forecasting transformers

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:41.853287Z

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Observation 16bbe617-5ba4-4bda-ae8c-8c0a13e67330 · outbound

This paper cites Frequency adaptive normalization for non-stationary time series forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Frequency adaptive normalization for non-stationary time series forecasting

Reference 40

Resolution: verified exact; doi, observed 2026-08-02T06:18:23.427839Z

Source-reported events for the cited work

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Observation d8df731e-887f-4d71-8036-b181930b96dc · outbound

This paper cites Are transformers effective for time series forecasting? Proceedings of the AAAI Conference on Artificial Intelligence, 37 0 (9): 0 11121–11128, Jun.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Are transformers effective for time series forecasting? Proceedings of the AAAI Conference on Artificial Intelligence, 37 0 (9): 0 11121–11128, Jun

Reference 41

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This paper cites Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning, 2026.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning, 2026

Reference 42

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Observation e3c12c27-1543-41b4-a67d-146fed5ea572 · outbound

This paper cites Stationarity-Aware Retrieval-Augmented Time Series Forecasting.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Stationarity-Aware Retrieval-Augmented Time Series Forecasting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:42.147502Z

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Pith citing papers

No inbound Pith citation observations are available.