Pith. sign in

Paper Citation Record · LEDGER

Federated Learning on Riemannian Manifolds

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.05668.

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

pith.paper-citation-record.v1
2206.05668 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:04:00.888690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:22:23.377018Z

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 f32f5841-921d-4244-a75a-05308d7bf0d4 · inbound

New Insights on Unfolding and Fine-tuning Quantum Federated Learning cites this paper.

New Insights on Unfolding and Fine-tuning Quantum Federated Learning Federated Learning on Riemannian Manifolds

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T23:04:00.888690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:04:00.888690Z digest=sha256:4f94adbf3967624f757f4c3d6c6cf399153108b2b3b2dd9415a639d04802cd3c

Observation a2952160-37ea-4f6f-b321-21b3ff1b9f25 · inbound

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach cites this paper.

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach Federated Learning on Riemannian Manifolds

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T11:24:43.239431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:24:43.239431Z digest=sha256:293591a783d4fb1ab6bd07c5bd508a3e8d171b1091e7df2f67b51d67fc89e06f

Observation d18070ce-9a54-461d-80ca-dd3d08925d32 · inbound

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet cites this paper.

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet Federated Learning on Riemannian Manifolds

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:11:11.215353Z

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=2026-05-08T10:03:44.180537Z digest=sha256:6079138257516b482533d3cb7518f6494d06c940f121d91525fc8758e197e95d

Observation 38ea832d-62f8-4935-b30f-4a86a714334a · inbound

Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation cites this paper.

Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation Federated Learning on Riemannian Manifolds

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:22:23.378532Z

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=arxiv_source observed=2026-05-13T06:20:30.344490Z digest=sha256:ac874a28cadde713c84760ee85327179824ebef01787e4f6bf169d2a46c2b58c