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Paper Citation Record · LEDGER

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.11867.

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

pith.paper-citation-record.v1
2306.11867 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:40:49.102793Z

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

35
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 c599e63c-4da1-4a1f-851d-aa59c4af6610 · inbound

Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach cites this paper.

Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning Approach Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:40:49.102793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:40:49.102793Z digest=sha256:b1c7c873dccf31f643fbb3c640f0157b7ac2260f216be7494a5a6c6e205579cd

Observation 6a24e9ce-475d-4e9c-becf-1d8e621d6501 · inbound

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion cites this paper.

Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:49.284977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:49.284977Z digest=sha256:250ed6865c01cb47d9bc5bc0dcf1d2587c5af1e999f71dee83d1be17aa0a3375

Observation 756a3459-c8be-44aa-ab12-12a0320a8a39 · inbound

Hypernetworks for Model-Heterogeneous Personalized Federated Learning cites this paper.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T11:55:31.609225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:55:31.609225Z digest=sha256:8116aae874c14f2d5ca34f17574b1136d824edc96030b6b378fd845e8c9d3424

Observation e0e4ccfc-75a6-4a18-9d6d-eb3a86e5ef0d · inbound

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data cites this paper.

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:58.925905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:58.925905Z digest=sha256:13fa3fc4a214cf2fbf982142376a68bfdbbcebc4cff876d49d1e88cc8b88f12d

Observation 3e5a319e-e0f0-4ba5-946b-d2e9c5949bc9 · inbound

X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment cites this paper.

X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-05T23:19:57.628578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:19:57.628578Z digest=sha256:29d85d8c7681e01dbcb128aeac646f662053c06349d336c5006148fe1fa0dd37

Observation 652386a0-b962-4a90-99e4-b600d1ef5f5f · inbound

Pattern Recognition Tasks with Personalized Federated Learning cites this paper.

Pattern Recognition Tasks with Personalized Federated Learning Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:29.847278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T14:07:13.510875Z digest=sha256:e1d547e249cafd1fc6723c856e73aa52697038bd404ada9a4ccdd0d1eb17e46f