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Paper Citation Record · LEDGER

Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.15544.

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

pith.paper-citation-record.v1
2401.15544 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:11.305179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:16:58.547127Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6a3744c-bc54-4219-a51e-cf59de4245ff · inbound

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction cites this paper.

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.

source=arxiv_source observed=2026-08-11T00:48:13.093212Z digest=sha256:b5f5f3e2a0ebbbe78b9de193abef647cc822f6155e2c1752d0305cab67b92e93

Observation 78f3184c-67e6-4daa-b4df-97b2e8045ba9 · inbound

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines cites this paper.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:11.305179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:51:11.305179Z digest=sha256:b80c999f800a10e3600edfa9768719c06dac96e01def12f3a9bd4d63f381d6bc

Observation 16387024-7765-4ffa-b1f9-0d1590816650 · inbound

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

SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:04.158791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:04.158791Z digest=sha256:61ad630c85f835fe91d286682c1affa704e3bf71a31fd927c2934d3732e87d37

Observation fef8ab4a-88af-4a12-8f0a-f3c658d45c14 · inbound

Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model cites this paper.

Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:16:58.548699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T01:28:55.698724Z digest=sha256:8e5e80a2d5a0eaaae2d075b39e25d212c5b6344995965a623e9a7443dc7c2585