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Paper Citation Record · LEDGER

Federated Unsupervised Representation Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.08982.

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

pith.paper-citation-record.v1
2010.08982 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 2026-08-07T15:21:58.297379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:02.096944Z

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 811bb885-22d9-4a8b-ae52-e2f79ee43c8d · inbound

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions cites this paper.

Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions Federated Unsupervised Representation Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:58.297379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:58.297379Z digest=sha256:b34194144e7ba024abd7c95b739fcb5d912558d20b734a8f6d341842859f56ee

Observation 6bd57f3f-f827-411c-a619-331077645a59 · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks Federated Unsupervised Representation Learning

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:02.098589Z

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=2026-06-29T23:04:43.841278Z digest=sha256:eaf735caced1deb819c6fa018ce29dbb19404071850966da368837bd9ea99ea9