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Paper Citation Record · LEDGER

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error

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.

pith.paper-citation-record.v1
2607.05450 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:40:35.502443Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation 2514f9e7-8075-49fd-a316-5ce3ac4bf258 · outbound

This paper cites Hyndman, Nikolaos Kourentzes, and Fotios Petropoulos.

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman, Nikolaos Kourentzes, and Fotios Petropoulos

Reference 1

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Observation 11afc776-1529-473d-b3ce-3618eafd1cac · outbound

This paper cites Hyndman, Nikolaos Kourentzes, and Anastasios Panagiotelis.

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hyndman, Nikolaos Kourentzes, and Anastasios Panagiotelis

Reference 2

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Observation 4f19d5e1-74f8-4037-b9f4-903cd498361f · outbound

This paper cites Atiya, and Antti Sorjamaa.

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Atiya, and Antti Sorjamaa

Reference 3

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Observation 3baa8ef0-9a38-440c-abd2-5234eb101642 · outbound

This paper cites Random search for hyper-parameter optimization.

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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Observation b5a47ef5-10ee-4f89-a2fb-7ae1782818ff · outbound

This paper cites Lazy learning for local modelling and control design.

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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Observation 30bfd17b-5e08-4cf4-b6fd-600a619e1682 · outbound

This paper cites an unresolved cited work.

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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Observation 05a41841-dbce-491f-b28b-58702e3cbe83 · outbound

This paper cites XGBoost : A scalable tree boosting system.

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error XGBoost : A scalable tree boosting system

Reference 7

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Observation 7fe75d80-46ad-4ba0-9ec1-c4d6313d4762 · outbound

This paper cites Hamilton.

The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Error Hamilton

Reference 8

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Observation b4756cec-c38b-4de9-bcc8-ba16dff17d9a · outbound

This paper cites Darts: U ser-friendly modern machine learning for time series.

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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Observation b4de2d82-4d17-4c5f-98ee-ab3a58e241de · outbound

This paper cites Long short-term memory.

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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Observation 7e00dc0a-8e2e-4992-bacb-e7b3a3b32186 · outbound

This paper cites Hyndman and George Athanasopoulos.

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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Observation 75c1e0b5-13f0-4d2a-aeaf-a68b3d341960 · outbound

This paper cites Hyndman and Anne B.

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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Observation 31909437-2a92-49d9-872f-c37717bc54fb · outbound

This paper cites an unresolved cited work.

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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Observation fd6c0df8-6804-4324-bbba-757600141ff9 · outbound

This paper cites Ar k, Nicolas Loeff, and Tomas Pfister.

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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Observation 63cd4b4d-7c9f-400c-a758-6d5e086c3d81 · outbound

This paper cites Statistical and Machine Learning forecasting methods: Concerns and ways forward.

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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Observation d02d25ec-7671-4f89-a426-dd2fa25e028d · outbound

This paper cites The M4 competition: 100,000 time series and 61 forecasting methods.

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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Observation 4e10f333-b9a1-4e58-bf58-22d2ca7b446c · outbound

This paper cites Stock, and Mark W.

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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Observation 76c70b93-9604-41f7-8b6e-bc4d6c8251a1 · outbound

This paper cites Syntetos, John E.

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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Observation fd63afd3-f916-4cc3-baef-4c5f9a61a515 · outbound

This paper cites Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio.

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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Observation af804b12-7dc9-4ba0-b6aa-6c085b05a838 · outbound

This paper cites Forecast combinations for intermittent demand.

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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Observation b5a55812-5256-4120-970f-e6579ba3cb2a · outbound

This paper cites Zied Babai, Aris Syntetos, and Yves Ducq.

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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Observation e466a9fe-b62b-4264-84c8-d35f4ca4db1d · outbound

This paper cites DeepAR : Probabilistic forecasting with autoregressive recurrent networks.

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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Observation e117cd2d-de5e-4200-b725-ec714ba18f25 · outbound

This paper cites Temporal aggregation of univariate and multivariate time series models: a survey.

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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Observation af9c41eb-cd59-4753-a7ba-d5f4e47085d2 · outbound

This paper cites Tiao and William W.

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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Observation 4f09bb41-2b1a-45e9-bcf9-4289b2142b3d · outbound

This paper cites an unresolved cited work.

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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Observation 2dc013b9-af02-4378-9602-e05356d7b954 · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI Conference on Artificial Intelligence , volume 37, pages 11121--11128, 2023.

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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