Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T20:40:35.502443Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.05450.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T20:40:35.502443Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2514f9e7-8075-49fd-a316-5ce3ac4bf258 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman, Nikolaos Kourentzes, and Fotios Petropoulos
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11afc776-1529-473d-b3ce-3618eafd1cac · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman, Nikolaos Kourentzes, and Anastasios Panagiotelis
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f19d5e1-74f8-4037-b9f4-903cd498361f · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Atiya, and Antti Sorjamaa
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3baa8ef0-9a38-440c-abd2-5234eb101642 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Random search for hyper-parameter optimization
Reference 4
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Unavailable: canonical work link unavailable.
Observation b5a47ef5-10ee-4f89-a2fb-7ae1782818ff · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Lazy learning for local modelling and control design
Reference 5
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Unavailable: canonical work link unavailable.
Observation 30bfd17b-5e08-4cf4-b6fd-600a619e1682 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Unresolved cited work
Reference 6
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Unavailable: canonical work link unavailable.
Observation 05a41841-dbce-491f-b28b-58702e3cbe83 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error XGBoost : A scalable tree boosting system
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fe75d80-46ad-4ba0-9ec1-c4d6313d4762 · outbound
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4756cec-c38b-4de9-bcc8-ba16dff17d9a · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Darts: U ser-friendly modern machine learning for time series
Reference 9
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Unavailable: canonical work link unavailable.
Observation b4de2d82-4d17-4c5f-98ee-ab3a58e241de · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Long short-term memory
Reference 10
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Unavailable: canonical work link unavailable.
Observation 7e00dc0a-8e2e-4992-bacb-e7b3a3b32186 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman and George Athanasopoulos
Reference 11
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Unavailable: canonical work link unavailable.
Observation 75c1e0b5-13f0-4d2a-aeaf-a68b3d341960 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman and Anne B
Reference 12
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Unavailable: canonical work link unavailable.
Observation 31909437-2a92-49d9-872f-c37717bc54fb · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Unresolved cited work
Reference 13
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Unavailable: canonical work link unavailable.
Observation fd6c0df8-6804-4324-bbba-757600141ff9 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Ar k, Nicolas Loeff, and Tomas Pfister
Reference 14
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Unavailable: canonical work link unavailable.
Observation 63cd4b4d-7c9f-400c-a758-6d5e086c3d81 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Statistical and Machine Learning forecasting methods: Concerns and ways forward
Reference 15
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Unavailable: canonical work link unavailable.
Observation d02d25ec-7671-4f89-a426-dd2fa25e028d · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error The M4 competition: 100,000 time series and 61 forecasting methods
Reference 16
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Unavailable: canonical work link unavailable.
Observation 4e10f333-b9a1-4e58-bf58-22d2ca7b446c · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Stock, and Mark W
Reference 17
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Unavailable: canonical work link unavailable.
Observation 76c70b93-9604-41f7-8b6e-bc4d6c8251a1 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Syntetos, John E
Reference 18
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Unavailable: canonical work link unavailable.
Observation fd63afd3-f916-4cc3-baef-4c5f9a61a515 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio
Reference 19
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Unavailable: canonical work link unavailable.
Observation af804b12-7dc9-4ba0-b6aa-6c085b05a838 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Forecast combinations for intermittent demand
Reference 20
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Unavailable: canonical work link unavailable.
Observation b5a55812-5256-4120-970f-e6579ba3cb2a · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Zied Babai, Aris Syntetos, and Yves Ducq
Reference 21
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Unavailable: canonical work link unavailable.
Observation e466a9fe-b62b-4264-84c8-d35f4ca4db1d · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error DeepAR : Probabilistic forecasting with autoregressive recurrent networks
Reference 22
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Unavailable: canonical work link unavailable.
Observation e117cd2d-de5e-4200-b725-ec714ba18f25 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Temporal aggregation of univariate and multivariate time series models: a survey
Reference 23
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Unavailable: canonical work link unavailable.
Observation af9c41eb-cd59-4753-a7ba-d5f4e47085d2 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Tiao and William W
Reference 24
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Unavailable: canonical work link unavailable.
Observation 4f09bb41-2b1a-45e9-bcf9-4289b2142b3d · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Unresolved cited work
Reference 25
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Unavailable: canonical work link unavailable.
Observation 2dc013b9-af02-4378-9602-e05356d7b954 · outbound
The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, pages 11121--11128, 2023
Reference 26
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No inbound Pith citation observations are available.