Paper Citation Record · LEDGER

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.04921.

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

pith.paper-citation-record.v1
2509.04921 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:52:19.974627Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdbdbe6a-69d2-4280-976d-615c7aa77f40 · outbound

This paper cites Maddix, Michael W.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Maddix, Michael W

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.257776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2a459c1-0ccf-42c8-9270-efe9d973f70a · outbound

This paper cites Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:52:19.929834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e9a347-74e5-4e75-9a94-4eeedb28d73d · outbound

This paper cites FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T05:52:19.933216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2330a32-1696-4930-b9a6-712d38c4b176 · outbound

This paper cites Panda: A Pre trained Forecast Model for Universal Representation of Chaotic Dynamics.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Panda: A Pre trained Forecast Model for Universal Representation of Chaotic Dynamics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T05:52:19.936774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68cc4d8e-9b30-4170-ab8e-d9012017d496 · outbound

This paper cites True Zer o-Shot Inference of Dynamical Systems Preserving Long-Term Statistics.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series True Zer o-Shot Inference of Dynamical Systems Preserving Long-Term Statistics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:52:19.939927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d919012-9a7e-42cb-8818-2944b3f04729 · outbound

This paper cites McKenzie.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series McKenzie

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.249924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9e585c0-9386-4ed3-a9a5-42c9acc68aba · outbound

This paper cites an unresolved cited work.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:52:20.241914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab40337c-05d4-48f6-bd19-1b819103c858 · outbound

This paper cites Scheinkman and Blake LeBaron.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Scheinkman and Blake LeBaron

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.233550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5af827f-6b30-4edd-a39f-5c0228c3fc3e · outbound

This paper cites Sandubete and Lorenzo Escot.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Sandubete and Lorenzo Escot

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.224660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef4628d5-d172-42be-b955-0b50456dea1e · outbound

This paper cites Chaotic Analysis of the Foreign Exchange Rates.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Chaotic Analysis of the Foreign Exchange Rates

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.216284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f48eeae-9864-4632-a62b-882547399190 · outbound

This paper cites Expectations, Price Fluctuations and L orenz Attractor.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Expectations, Price Fluctuations and L orenz Attractor

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.207763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7b021d4-48f8-464a-832f-1aa134aa5044 · outbound

This paper cites Financial Time Series An alysis Using Total-CApEn and A vg-CApEn with Cumulative Histogram Matrix.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Financial Time Series An alysis Using Total-CApEn and A vg-CApEn with Cumulative Histogram Matrix

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.198598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12088695-6c32-4d9e-8924-8cdd6eaf1f17 · outbound

This paper cites Seasonal Mackey –Glass–GARCH Process and Short-Term Dynamics.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Seasonal Mackey –Glass–GARCH Process and Short-Term Dynamics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.189307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f31c89ea-2ee9-44fc-9de8-51b0cb5b6f79 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.180659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8dc9f1ec-e152-4ae1-ae37-51481bb99c84 · outbound

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

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series I nformer: Beyond Eﬃcient Transformer for Long Sequence Time-Series Forecasting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:52:20.171635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af8227bc-6472-4804-9477-eda379a35bd5 · outbound

This paper cites an unresolved cited work.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:52:20.162397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cfc962e-53b6-4b01-a78e-a188cb4b97ae · outbound

This paper cites an unresolved cited work.

Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:52:20.153636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.