Paper Citation Record · LEDGER

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2605.09081.

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

pith.paper-citation-record.v1
2605.09081 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:00:54.013215Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:27:22.932214Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T14:05:45.834241Z

Reference resolution

31 of 31 outbound references displayed

verified exact11
verified fuzzy14
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c4cb65d-9260-41c9-8eb7-4b89ecfb4168 · outbound

This paper cites M., Palleti, V.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models M., Palleti, V

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.357423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 833e6892-5d25-404b-b1bc-28b463dbc1e9 · outbound

This paper cites F., Stella, L., Turkmen, C., Zhang, X., Mercado, P., Shen, H., Shchur, O., Rangapuram, S.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models F., Stella, L., Turkmen, C., Zhang, X., Mercado, P., Shen, H., Shchur, O., Rangapuram, S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.115229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 565b276c-afcd-4a29-8dd7-491c848a12c5 · outbound

This paper cites T., Rudolph, M., Rosenhahn, B., and Wandt, B.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models T., Rudolph, M., Rosenhahn, B., and Wandt, B

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.363971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bed7bef7-7ab4-45b5-b0c7-bdf8e960bb85 · outbound

This paper cites Language models are few-shot learners.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Language models are few-shot learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.102836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d2b0684-67b5-4e2d-b89f-8b056428a421 · outbound

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

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models A decoder-only foundation model for time-series forecasting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.118622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac3393ca-64f8-481f-86c7-34ee984a58f5 · outbound

This paper cites an unresolved cited work.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:00:38.105439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6654322c-9893-4a3d-ae53-ca4cb7a3e91a · outbound

This paper cites and Vogel, E.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models and Vogel, E

Reference 7

Resolution: verified exact; doi, observed 2026-05-14T21:02:58.354115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0847cc3f-5361-4ed9-8ad8-bbe48bd1a558 · outbound

This paper cites URL https://cacm.acm.org/research/ datasheets-for-datasets/.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models URL https://cacm.acm.org/research/ datasheets-for-datasets/

Reference 8

Resolution: metadata mismatch; doi, observed 2026-05-14T21:02:58.360031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ced50ca-ac69-4b7b-8656-fcae2628a342 · outbound

This paper cites MOMENT : A family of open time-series foundation models.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models MOMENT : A family of open time-series foundation models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.108448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 310dd667-f8e8-4a58-9305-8ac4d3f4851a · outbound

This paper cites B., M¨uller, S., Salinas, D., and Hutter, F.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models B., M¨uller, S., Salinas, D., and Hutter, F

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:59.009586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f9a7dd07-63a8-48e8-aa05-5539daa87da6 · outbound

This paper cites Skoltech Anomaly Benchmark (SKAB).

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Skoltech Anomaly Benchmark (SKAB)

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:59.005675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 73a4a4f1-ce43-47de-91d6-fb6f9f4eb990 · outbound

This paper cites Droid: A large-scale in-the-wild robot manipulation dataset.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Droid: A large-scale in-the-wild robot manipulation dataset

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.079988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3853522b-25dc-47e6-ad07-91df15c93ae1 · outbound

This paper cites TODS: An Automated Time Series Outlier Detection System.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models TODS: An Automated Time Series Outlier Detection System

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:59.000895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3aba7bf9-e751-413c-957b-999db4fe8c08 · outbound

This paper cites AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.992440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c8147735-bd28-4d4e-930d-450a15896066 · outbound

This paper cites K., Zimmer, D., and Sextro, W.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models K., Zimmer, D., and Sextro, W

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.077483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 80465818-7f0a-4a80-819b-64bc490effe5 · outbound

This paper cites Cwru bearing dataset and gearbox dataset of IEEE phm challenge competition in 2009.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Cwru bearing dataset and gearbox dataset of IEEE phm challenge competition in 2009

Reference 16

Resolution: verified exact; doi, observed 2026-05-14T21:02:58.345128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9db2d865-d96b-4d77-91c7-74dc24519f5b · outbound

This paper cites and Paparrizos, J.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models and Paparrizos, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.075261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e10a7809-4072-4282-9272-3c82b885de63 · outbound

This paper cites Timer: Generative pre-trained transformers are large time series models.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Timer: Generative pre-trained transformers are large time series models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.071562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 30ddca1a-9060-40e2-a1a2-1de46ea7d85a · outbound

This paper cites 10610948.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models 10610948

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:02:58.348465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 28394d04-c304-4f06-ad98-5f3c53486c7b · outbound

This paper cites 2010 PHM society conference data challenge.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models 2010 PHM society conference data challenge

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.089173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f1b9c943-5ac1-4d11-8668-a6ff6246e87d · outbound

This paper cites Raissi, P.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Raissi, P

Reference 21

Resolution: metadata mismatch; doi, observed 2026-05-14T21:02:58.338593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b528c366-cd8c-4c92-9b26-88e09bbd604a · outbound

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

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:02:58.996667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe1fce99-8d39-4459-9373-894f9ff79ae5 · outbound

This paper cites an unresolved cited work.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-15T13:00:38.091532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 563cb4d8-a017-4453-92f9-cb074e34b762 · outbound

This paper cites Damage propagation modeling for aircraft engine run-to-failure simulation.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Damage propagation modeling for aircraft engine run-to-failure simulation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.342096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c18fc0fa-9573-4a37-a466-bd2604e56b3d · outbound

This paper cites Cnc mill tool wear.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Cnc mill tool wear

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.086815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 20010fab-26e7-4460-8bd8-02614fae1f9b · outbound

This paper cites A Benchmark dataset for predictive maintenance.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models A Benchmark dataset for predictive maintenance

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.988238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d2e6c8f-b43a-4553-bddf-cc128455d035 · outbound

This paper cites A hybrid prognostics approach for estimating remaining useful life of rolling element bearings.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models A hybrid prognostics approach for estimating remaining useful life of rolling element bearings

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:02:58.351718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 13befe05-0256-4780-8cd4-c5591cc6b0ef · outbound

This paper cites Unified training of universal time series forecasting transformers.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Unified training of universal time series forecasting transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.094422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 28e781fc-5c41-4b1a-a6a4-354832b75f5a · outbound

This paper cites Manufacturing, value added (\ URL https://data.worldbank.org/indicator/NV.IND.MANF.ZS.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Manufacturing, value added (\ URL https://data.worldbank.org/indicator/NV.IND.MANF.ZS

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.097012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 40caa356-2d5a-4fa4-9f8a-ac755edb2d25 · outbound

This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Anomaly transformer: Time series anomaly detection with association discrepancy

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.082820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dbebf5a9-dc87-4430-8f7c-14dfaf551342 · outbound

This paper cites Tossingbot: Learning to throw arbitrary objects with envelope-based residual reinforcement learning.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Tossingbot: Learning to throw arbitrary objects with envelope-based residual reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T13:00:38.100230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 183d60df-e814-4656-b5b0-a6c8c6241cba · inbound

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series cites this paper.

HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:45.836159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.