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Paper Citation Record · LEDGER

Federated Continual Learning for Edge-AI: A Comprehensive Survey

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.13740.

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

pith.paper-citation-record.v1
2411.13740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:29:14.870917Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:57:38.780121Z

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 33a30714-9a21-48b6-b759-4d4fa4d31336 · inbound

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning cites this paper.

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning Federated Continual Learning for Edge-AI: A Comprehensive Survey

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:54:52.922620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T13:54:38.393967Z digest=sha256:35176c2f04d683b3e09e07e9a11a318a488a1175ec4dfaf03f11c5f2c385d265

Observation 6d7f5052-90ed-4c80-a2ba-b7f05c86ec62 · inbound

FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning cites this paper.

FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning Federated Continual Learning for Edge-AI: A Comprehensive Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T22:29:14.870917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:29:14.870917Z digest=sha256:97fbbd8d0567e4a593d54800e16275f926acd2d08ead658c6aa151867635aa4d

Observation 1186940d-22d8-4948-a6df-5447980c2b7f · inbound

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks cites this paper.

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks Federated Continual Learning for Edge-AI: A Comprehensive Survey

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:58:15.356683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:53:40.636133Z digest=sha256:c76eae6483e9f5d61aa07c299d08129840ca0881b124ef26f13d8d717fa7147f

Observation 243f51b8-3e58-4665-b40d-58dc335f18b9 · inbound

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks cites this paper.

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks Federated Continual Learning for Edge-AI: A Comprehensive Survey

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T18:14:59.802816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T18:12:16.370781Z digest=sha256:8c2878d3fececcb3dc814a6e26bee9a55b68904256520a0b22d264df4eea42a1

Observation 656cb164-7110-4701-af9b-879523dfd30a · inbound

Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data cites this paper.

Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data Federated Continual Learning for Edge-AI: A Comprehensive Survey

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:57:38.781598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T14:19:25.914017Z digest=sha256:76cd62434b8155fbb37ade06fabd05bccced5e39bb15bab99ac93ebf8263983d