Paper Citation Record · LEDGER

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2507.22053.

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

pith.paper-citation-record.v1
2507.22053 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:09:39.848096Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:35:28.485707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.924291Z

Reference resolution

61 of 61 outbound references displayed

verified exact2
verified fuzzy0
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b04188f-ba78-4207-aed9-791a0d515298 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.263459Z

Source-reported events for the cited work

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Observation 21ae5cb3-f01f-4c0d-9139-817bc7ff9823 · outbound

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

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Chronos: Learning the Language of Time Series

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.404760Z

Source-reported events for the cited work

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Observation 1ea95ebc-01cc-42aa-8e9d-c9c5f53f4c41 · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.411328Z

Source-reported events for the cited work

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Observation eb3f7663-5d36-40cb-addd-ca40551e9f90 · outbound

This paper cites TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.420167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 185da8da-cda6-4bee-bf01-aaeff1a013d1 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.248400Z

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Observation b093dd96-8f8d-4438-a337-23a3b483c57d · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.443027Z

Source-reported events for the cited work

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Observation 3ec001eb-0363-4464-a875-09a701ed75d9 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.449855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c787580-e45c-42aa-8cd4-ffffa41d99b5 · outbound

This paper cites TimeGPT-1.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling TimeGPT-1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.457548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3dccbea-4fa9-49fd-9d2e-10e12c80b46d · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.221164Z

Source-reported events for the cited work

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Observation 20b1fc24-37f2-4eea-ae94-a95719cf8b84 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 10

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Observation 55c3816b-ee37-43b3-b208-e7296aa15059 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.156559Z

Source-reported events for the cited work

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Observation 85fa12e9-7aa5-4a0b-83c4-9aedfe16a386 · outbound

This paper cites A Look at the Evaluation Setup of the M5 Forecasting Competition.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling A Look at the Evaluation Setup of the M5 Forecasting Competition

Reference 12

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Observation 577c5de6-5a79-4278-aa2b-4ef5a80d4d77 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 13

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Observation 84c85efe-58b8-4632-91cf-94aec77e2ba0 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 16

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Observation 345dd14e-0cbe-4cc9-b6ab-5084160dc502 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 17

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Observation 72c0f5a9-7695-4876-b82b-db8952904f6d · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 55f2a774-bfc9-4004-a589-8d1fd5b60fcf · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 19

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Source-reported events for the cited work

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Observation ccac7536-0379-4527-8122-53eaa199bd21 · outbound

This paper cites Position: What Can Large Language Models Tell Us about Time Series Analysis.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Position: What Can Large Language Models Tell Us about Time Series Analysis

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f09e1c-8d04-413d-b73f-0b9406f4f765 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 21

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Observation f72695d6-f7f1-448d-a8a1-51eea492b69e · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 22

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 23

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 24

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Observation 66fb23d5-fe5f-47c6-aa4b-549d8719a5d8 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 25

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 26

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Observation 23067c10-f68c-49f1-a895-5395d4e9f3fd · outbound

This paper cites ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 27

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 28

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 29

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 30

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This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 31

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 33

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 34

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Observation a457d88d-607a-4c49-acd8-35e49a2d50be · outbound

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 35

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Observation 5bfb2ed9-fe88-49dd-8752-9dc6f58ac6c1 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 36

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Observation 0d0308ea-e4ff-4826-9871-3667dad422e0 · outbound

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 38

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Observation 0548e419-ebce-4079-be02-9dd0a4ff8438 · outbound

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

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 39

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 40

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This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 42

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Observation f3d56a64-a8b7-4fe6-ac48-282e217a5203 · outbound

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

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 43

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 44

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Observation 59b02dbc-1a7b-4a69-8029-8362f0fd445e · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Observation 6d2ae19f-4a01-4aae-b175-88bda3b70e72 · outbound

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

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 46

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 47

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Observation 17689327-d36d-470e-9797-caadcc9f9a82 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 48

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Observation bd332722-764f-4dec-9188-c225e9661354 · outbound

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

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Observation d4ae8bec-2f99-4a2a-bdd4-d50ddfaa11fb · outbound

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Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 51

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Observation 99a21af0-c761-4fe7-9b17-d4d05e45575b · outbound

This paper cites A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles

Reference 52

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Observation 178b5cbd-a4a6-4635-898d-5e58ffbb7172 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 53

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Observation 2084b80f-6120-41ef-be68-b243d27fb788 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 54

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55937c66-c9ae-4dd7-bb34-e9a4641f078e · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 55

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Source-reported events for the cited work

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Observation 7753fd42-157e-48cd-82bc-6558315bb20b · outbound

This paper cites TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis

Reference 56

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Source-reported events for the cited work

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Observation 50302f1e-6da0-4cc8-b0f2-978d95e64ef3 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 57

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Source-reported events for the cited work

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Observation 19f63cdd-7ac9-4db4-b442-46e6983ce9aa · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:40.257130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 951d7e97-b1cf-43ba-834d-c72f4eb89824 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 59

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Observation f1258718-7e29-4200-9637-0df499ced704 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.842922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dca830aa-70b0-4b06-979e-ca81b49bb626 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:40.217957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc4e1862-81a6-4672-94ab-f2728e2ef961 · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.189253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a993baff-4149-48db-b039-2020a6da70ce · outbound

This paper cites an unresolved cited work.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:09:41.206222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 47c7bbdb-1ade-4c4e-8189-dcc60405a91f · inbound

Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting cites this paper.

Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting Foundation Models for Demand Forecasting via Dual-Strategy Ensembling

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:59:52.925714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.