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Paper Citation Record · LEDGER

Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.10610.

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

pith.paper-citation-record.v1
2002.10610 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:09.099544Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:08:09.174301Z

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 5a6910be-b990-4ab9-b63e-a86a1ee431c9 · inbound

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices cites this paper.

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:08:09.181033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:08:09.099544Z digest=sha256:1e655bdf1c52f3c00753d52d3377b6fbe1310040ef70969b286f7a483f0f31d9

Observation 6f5ca7f9-3bb4-4fe8-bdfb-858db6d1e624 · inbound

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks cites this paper.

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T12:42:39.834137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:42:39.834137Z digest=sha256:01676f6ff734eb793798703a697e4b80f118c7db15833790e187dc21b175b973