Paper Citation Record · LEDGER

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.23146.

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

pith.paper-citation-record.v1
2607.23146 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:30:04.604934Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact2
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 995486a4-bf56-4597-b62e-90a8e9375130 · outbound

This paper cites URL:https://doi.org/10.1609/aaai.v38i21.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting URL:https://doi.org/10.1609/aaai.v38i21

Reference 10

Resolution: verified exact; doi, observed 2026-08-01T03:34:12.227352Z

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 a23f9270-13df-49f6-bd93-e4fa7502b65a · outbound

This paper cites an unresolved cited work.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.587210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f04a27-3518-49d7-8ed4-2b09340bf69c · outbound

This paper cites UCI Machine Learning Repository.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting UCI Machine Learning Repository

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.591465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b203d757-3e37-4603-bac6-1577f07cd3b0 · outbound

This paper cites LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.595980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b432172f-5c80-43a6-b4c7-29beb8c8d4a8 · outbound

This paper cites Ekambaram, V., Jati, A., Dayama, P., Mukherjee, S., Nguyen, N.H., Gifford, W.M., Reddy, C., Kalagnanam, J.,.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Ekambaram, V., Jati, A., Dayama, P., Mukherjee, S., Nguyen, N.H., Gifford, W.M., Reddy, C., Kalagnanam, J.,

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T03:34:12.328934Z

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 f2f26ae0-f45b-40bd-bbb9-6c0ee3fb89c2 · outbound

This paper cites Wu,H.,Xu,J.,Wang,J.,Long,M.,2021.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Wu,H.,Xu,J.,Wang,J.,Long,M.,2021

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.600646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df49b699-aca9-45d2-8d2c-f5e589385c84 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.604934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826e81c9-cefe-40c3-9b57-540446829dbe · outbound

This paper cites Neural Comput.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Neural Comput

Reference 1997

Resolution: malformed identifier; no resolver link, observed 2026-08-01T03:30:04.568666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8626512-9959-4e36-acc2-de9624f2c059 · outbound

This paper cites International Journal of Forecasting 22, 637–666.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting International Journal of Forecasting 22, 637–666

Reference 2006

Resolution: malformed identifier; no resolver link, observed 2026-08-01T03:30:04.564280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836557cc-15e1-4a4b-b24b-83b9df84b595 · outbound

This paper cites John Wiley & Sons.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting John Wiley & Sons

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.545382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c0cfd8-b7b5-4a69-9bf4-7dd2b5c0aa72 · outbound

This paper cites The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval URL:https://api.semanticscholar.org/CorpusID: 4922476.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval URL:https://api.semanticscholar.org/CorpusID: 4922476

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.573840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b0b903-8b3e-4d09-bd95-4db23921def4 · outbound

This paper cites Interna- tional Journal of Forecasting 36, 1181–1191.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Interna- tional Journal of Forecasting 36, 1181–1191

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.582768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78495992-f70b-463c-9d5e-7767bcce06f3 · outbound

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

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting On the Opportunities and Risks of Foundation Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.540360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a499e04-2bbd-4c23-b327-37d9125433c5 · outbound

This paper cites an unresolved cited work.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.559734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f13b2c-c93a-4455-acaf-906e8a620cba · outbound

This paper cites (Eds.), Advances in Neural Information Processing Sys- tems, Curran Associates, Inc.

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting (Eds.), Advances in Neural Information Processing Sys- tems, Curran Associates, Inc

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.555336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd962da1-a71e-4da0-8e51-289754c8c48b · outbound

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

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting Chronos-2: From Univariate to Universal Forecasting

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T03:30:04.534603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.