Paper Citation Record · LEDGER

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters

As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.04919.

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

pith.paper-citation-record.v1
2607.04919 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:28:48.400513Z

measured 18 of 18 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.

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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e70abe2-d54f-4b85-abe8-504bb9ff9f1e · outbound

This paper cites Chronos: Learning the language of time series,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Chronos: Learning the language of time series,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9729bd3-2fdf-43f5-b0a1-95be2dfd7a6b · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Unified Training of Universal Time Series Forecasting Transformers,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c29aac-cc06-40a1-8191-826573590db1 · outbound

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

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c54a3783-170a-48aa-ad6e-93993a83bf2f · outbound

This paper cites Scaling Laws for Neural Language Models.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Scaling Laws for Neural Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 678caf67-c7b1-40f4-b64f-fcc974c8a14c · outbound

This paper cites Scaling law for time series forecasting,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Scaling law for time series forecasting,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de221bc5-c4d0-48e4-8644-e7fbc2b01d24 · outbound

This paper cites Scaling-laws for Large Time-series Models.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Scaling-laws for Large Time-series Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102c0d98-400b-4fe1-a335-5376908992a1 · outbound

This paper cites FITS: Modeling time series with 10k parameters,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters FITS: Modeling time series with 10k parameters,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8234c497-2ed9-4557-8468-0316f1a7ffba · outbound

This paper cites Meta-learning how to forecast time series,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Meta-learning how to forecast time series,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf13962-6883-43e7-9aa4-65b140f6a59a · outbound

This paper cites FFORMA: Feature-based forecast model averaging,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters FFORMA: Feature-based forecast model averaging,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5feae8a6-9e8f-4ee0-8c76-cf1a4b783720 · outbound

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

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters The M4 compe- tition: 100,000 time series and 61 forecasting methods,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b6dbda-1263-42cc-b84b-5c166cb6837f · outbound

This paper cites AALF: Almost Always Linear Forecasting.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters AALF: Almost Always Linear Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12aa1bce-d75e-490e-932e-bd74af2891b8 · outbound

This paper cites Efficient Model Selection for Time Series Forecasting via LLMs.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Efficient Model Selection for Time Series Forecasting via LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af08c1eb-5c8a-4141-83b7-b34908e75ae6 · outbound

This paper cites Monash time series forecasting archive,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Monash time series forecasting archive,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

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Observation bffdbbd1-fba7-43c9-a318-08094d5aba85 · outbound

This paper cites Specialized Foundation Models Struggle to Beat Supervised Baselines.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Specialized Foundation Models Struggle to Beat Supervised Baselines

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32931291-28b1-45c6-b3d1-abcf46c19ae6 · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters LoRA: Low-rank adaptation of large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9939e6a-e019-4c68-ab46-f0ae903f0dd8 · outbound

This paper cites Automatic time series forecasting: The forecast package for R,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Automatic time series forecasting: The forecast package for R,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

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Observation b41bb8ab-6ddb-4aa4-a252-3a0f83b4fd79 · outbound

This paper cites XGBoost: A scalable tree boosting system,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters XGBoost: A scalable tree boosting system,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabe350d-6636-433d-9454-d2e92b81b687 · outbound

This paper cites Another look at measures of forecast accuracy,.

When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Another look at measures of forecast accuracy,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T11:28:48.400513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.