Paper Citation Record · LEDGER

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2412.19286.

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

pith.paper-citation-record.v1
2412.19286 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:48:13.182347Z

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:04.077375Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T22:44:04.293223Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy3
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d28b2026-7332-4007-84d7-d11d7465795b · outbound

This paper cites GPT-4 Technical Report.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.052584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9b62c1-c386-4979-93ca-4dc3ae36d0c4 · outbound

This paper cites C.; and Aggarwal, C.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction C.; and Aggarwal, C

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:13.678696Z

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 f0f88828-363b-4774-9453-a92111c8d259 · outbound

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

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Chronos: Learning the Language of Time Series

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.063383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76f6528-4a0d-4715-bb5d-31d3bd42465f · outbound

This paper cites Invariant Risk Minimization.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Invariant Risk Minimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.068787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78640a36-e898-4c1f-8801-3ca7354b16fb · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.073961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54aae287-b25d-45dc-a591-5dd81a59492a · outbound

This paper cites S.; Mohapatra, C.; Naidu, S.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction S.; Mohapatra, C.; Naidu, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:13.653200Z

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 384e4d26-321d-411a-bae7-ed9d10a51772 · outbound

This paper cites TimeGPT-1.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction TimeGPT-1

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.084035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35bc8143-36a4-4b9d-8520-24da889af282 · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:13.638992Z

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 e6a3744c-bc54-4219-a51e-cf59de4245ff · outbound

This paper cites Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.093212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 276df67d-b588-41d5-93a0-594fb174e535 · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.097820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3694ed62-8db7-4c05-9a20-4d036379875b · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.102553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4623174-bc93-4038-9775-80507ece46ea · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:13.614748Z

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 58a642cd-800f-4ce1-bb76-288f3b125ebf · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:13.599937Z

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 6e1a511d-ca29-4855-a10f-a8fa0d858613 · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.117433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce31a6c0-0424-4fd7-a0c1-09de508b8684 · outbound

This paper cites Large Language Models are Few-Shot Health Learners.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Large Language Models are Few-Shot Health Learners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.121910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a05e938-ea70-4d1f-96f0-b39f1c39957d · outbound

This paper cites Dataset: Rare Event Classification in Multivariate Time Series.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Dataset: Rare Event Classification in Multivariate Time Series

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:48:13.394313Z

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 54c625b9-8302-4a81-b37f-65a53887d44f · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:13.576662Z

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 a623e0d6-c001-49e4-aa0f-5e8e4a57b0bc · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.137812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16fa6b95-838f-4d03-b549-08488dc9ae23 · outbound

This paper cites E.; Zi, Y.; Mittal, P.; Narayanan, V.; Harik, R.; and Sheth, A.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction E.; Zi, Y.; Mittal, P.; Narayanan, V.; Harik, R.; and Sheth, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:48:13.562613Z

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 9626f0ea-338f-430d-962e-7db9d4c4dcfc · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.146589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a66df2a-d9cc-4e8f-8241-08d0fb14427b · outbound

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

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unified Training of Universal Time Series Forecasting Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.150647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2db6246-3c6a-430f-b4a1-bb02536216ff · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.155335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8ba090-c85d-444d-91c6-b131e6082e13 · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:48:13.539306Z

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 4737d6ec-4418-40f8-9125-b6ca54ccfca8 · outbound

This paper cites Large Language Models for Time Series: A Survey.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Large Language Models for Time Series: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.163545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12777c1-6101-4471-bfef-bae6d52af6fc · outbound

This paper cites Large Language Models for Spatial Trajectory Patterns Mining.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Large Language Models for Spatial Trajectory Patterns Mining

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.168574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ae0ec1-1b75-465c-8dc9-998185f849ff · outbound

This paper cites an unresolved cited work.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.172884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df3d8b2-11bd-47c8-92c3-b3fae68fae32 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction , " * write output.state after.block = add.period write newline

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.177111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa15d71-b0aa-4872-82ce-a3456b6f661b · outbound

This paper cites write newline.

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction write newline

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T00:48:13.182347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bb8cfa33-8af9-4187-b0bd-7bc77bd8ff89 · inbound

SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing cites this paper.

SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing Time Series Foundational Models: Their Role in Anomaly Detection and Prediction

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:44:04.296778Z

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.