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Paper Citation Record · LEDGER

Towards Federated Long-Tailed Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.14988.

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

pith.paper-citation-record.v1
2206.14988 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:49:03.617213Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c8374648-0c1f-4e5f-bb0a-f7e34b069a48 · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Towards Federated Long-Tailed Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:49:03.617213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:49:03.617213Z digest=sha256:729d3ffae780ef8aa5afae6352b8aa75c00c38ecdb6c48a465e7127bbc1c610c

Observation d98d47b1-91d6-447b-bfcb-1e1eceba7cee · inbound

Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach cites this paper.

Towards Federated Long-Tailed Graph Learning: An Energy-Guided Dual Decoupling Approach Towards Federated Long-Tailed Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-26T00:18:42.592121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T00:13:05.292430Z digest=sha256:4e2ea3211728235764f106b0344781e5bed036af1370df38537b601be8168f52