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Paper Citation Record · LEDGER

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.00226.

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

pith.paper-citation-record.v1
2210.00226 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:23.379771Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:52:42.058934Z

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 d50bcfdc-7ace-4b55-b56d-fad42a353195 · inbound

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning cites this paper.

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T00:55:51.820619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:55:51.820619Z digest=sha256:0a9f5e6b55e0629158571ef984139ea53d377d77294c008788abac62a268fabb

Observation 9490cf22-7a76-4ecc-832f-c4a2545cd177 · inbound

Modular Federated Learning: A Meta-Framework Perspective cites this paper.

Modular Federated Learning: A Meta-Framework Perspective Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:23.379771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:23.379771Z digest=sha256:11da797f1a7e68b5bb928d80c65c6707df75b17ee3f2e59432b77fa38631454f

Observation 2594e441-1f16-4fd2-9aef-089769c469bc · inbound

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation cites this paper.

Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:52:42.135684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:52:39.623313Z digest=sha256:45b721a8015c67a12bacc78f84a70a18090b23df79bf136dcf13f395b57303e6