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Paper Citation Record · LEDGER

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.01693.

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

pith.paper-citation-record.v1
2501.01693 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:18.374757Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:42:58.654669Z

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 d08215eb-ff78-41f6-af5b-a4d06d730e6c · inbound

Multimodal Online Federated Learning with Modality Missing in Internet of Things cites this paper.

Multimodal Online Federated Learning with Modality Missing in Internet of Things Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:18.374757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:18.374757Z digest=sha256:11b38f20be3b62132719e1153a47151a4913aa1aa12ff1b16b6847de8980e38e

Observation 132a166a-c73e-4365-b290-cd8aa1c04e39 · inbound

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping cites this paper.

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:42:58.726106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:42:56.070624Z digest=sha256:0ca42106f24838a14cd5e18d0374165f50b69c6bb0ff58045fc310d88760a6be