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Paper Citation Record · LEDGER

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.17511.

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

pith.paper-citation-record.v1
2607.17511 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:49:01.385796Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation 31d3e6d5-71d0-4749-95e6-80673b4726ab · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 1

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Observation a1d6fc84-8675-4b69-aa71-3ebd7cf3bfb2 · outbound

This paper cites an unresolved cited work.

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 2

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Observation fef69049-a069-4d5c-bcde-a8583cadc12c · outbound

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 3

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 4

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Observation 7ddeb6fa-ef3d-4124-870a-d0589319ca70 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting On the Opportunities and Risks of Foundation Models

Reference 5

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Observation eb204a2a-75a8-40e9-9d0c-e40939dfdb6b · outbound

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 6

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 7

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Observation 24b093b6-8a65-4eeb-ac54-6e1947e8bf34 · outbound

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 8

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Observation 58ac0963-5f92-447f-b3b0-42f96e378818 · outbound

This paper cites TimeGPT-1.

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting TimeGPT-1

Reference 9

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Observation ffac249f-b897-436f-b912-c51abcaac408 · outbound

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 10

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 11

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 12

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 13

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

Reference 14

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Nguyen, Phanwadee Sinthong, et al

Reference 23

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting 2000.Wavelet Methods for Time Series Analysis

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Trenberth

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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Observation 869f97bf-bcac-49ba-b1fe-424101091163 · outbound

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Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting Unresolved cited work

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