Paper Citation Record · LEDGER

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.19383.

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

pith.paper-citation-record.v1
2607.19383 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:17:11.975493Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5aa2c02-0ed0-4433-9a4c-7e880b4b0ff2 · outbound

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

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Chronos: Learning the Language of Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.909721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 691eb447-cac3-47bb-adbc-e8391e9029cf · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule A decoder-only foundation model for time-series forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.914870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00df699c-e3e6-4138-9a98-9402b6ca383a · outbound

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

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Unified Training of Universal Time Series Forecasting Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.919277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb46b39-285c-48f6-9f50-6101975e2c3b · outbound

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

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.923797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97865c67-605c-4732-b4cf-01f0f3de72e2 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule MOMENT: A Family of Open Time-series Foundation Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.928755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f568d2c5-df2b-4935-8242-472750f61fce · outbound

This paper cites TimeGPT-1.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule TimeGPT-1

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.933398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefb5d5a-d815-40f1-8924-9931341a7f70 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.938665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4b3228-2a0c-4df9-86e4-9d23b30ecd99 · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.942873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d178bf-c259-459c-a049-2d2e5970885c · outbound

This paper cites Makridakis, E.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Makridakis, E

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.946962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf0263d-fb6e-4f81-a113-4c75197e9fb8 · outbound

This paper cites Makridakis, E.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Makridakis, E

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.950824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85609d5-d2fd-422e-8503-d6ea84fbe170 · outbound

This paper cites Assimakopoulos, K.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Assimakopoulos, K

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.955279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e16274-1ad2-44df-a47c-1f7a268c86ad · outbound

This paper cites an unresolved cited work.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.959277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1159c9f-d2be-4346-92f6-751af65a7cce · outbound

This paper cites an unresolved cited work.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.963692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f700a9f2-7c3d-49fa-bb85-ba3ee0efc270 · outbound

This paper cites an unresolved cited work.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.967568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d3b5c4-96d8-466e-b694-dd5ab7092d18 · outbound

This paper cites an unresolved cited work.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.971627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0002f7-2156-4232-9a44-6e765a1e27f9 · outbound

This paper cites Makridakis, E.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule Makridakis, E

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:11.975493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.