Paper Citation Record · LEDGER

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 3 inbound Pith citation observations for arXiv:2412.13779.

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

pith.paper-citation-record.v1
2412.13779 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:54:11.017408Z

measured 24 of 24 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 2026-08-15T15:54:59.776424Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:46:51.472200Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy5
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8858d5bf-2971-49a8-b996-999c5482eb17 · outbound

This paper cites Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.955807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8930d56d-5678-4767-a70c-bbf6b8911689 · outbound

This paper cites Towards efficient replay in federated incremental learning.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Towards efficient replay in federated incremental learning

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-11T12:54:10.965422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89fee547-c40f-4cad-9414-d9606e74a33f · outbound

This paper cites Federated Recommendation with Additive Personalization.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Federated Recommendation with Additive Personalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.969571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54c0abaf-7259-4db9-8b62-e0101b6cb458 · outbound

This paper cites doi: https://doi.org/10.1016/j.neucom.2024.128019.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence doi: https://doi.org/10.1016/j.neucom.2024.128019

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T12:54:11.288976Z

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.

Observation 4cd59843-0f9c-41df-973d-38be17225c91 · outbound

This paper cites Learning Transferable Features with Deep Adaptation Networks.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Learning Transferable Features with Deep Adaptation Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.978112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5053b9a9-21bf-497c-b603-433b3bd32324 · outbound

This paper cites Adapting visual category models to new domains.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Adapting visual category models to new domains

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:54:11.540599Z

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.

Observation cd0b7417-7934-4407-8558-4320b1769052 · outbound

This paper cites Dafkd: Domain-aware federated knowledge distillation.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Dafkd: Domain-aware federated knowledge distillation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:54:11.527027Z

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.

Observation 9099c55e-68ce-4f48-826a-b35cb1b8a7d2 · outbound

This paper cites Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:11.008545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94100f4e-2314-47d6-859e-dec99724a5e8 · outbound

This paper cites Semantic drift compensation for class-incremental learning.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Semantic drift compensation for class-incremental learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:54:11.512961Z

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.

Observation 2b0fe503-2554-44bb-a7ad-f5d3d004ad49 · outbound

This paper cites Datasets Class-Incremental Task Dataset: New classes are incrementally introduced over time.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Datasets Class-Incremental Task Dataset: New classes are incrementally introduced over time

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:54:11.499685Z

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.

Observation 1d8e8aa1-a064-42ba-a00c-97d3ddf7372f · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.960570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64da4ced-8f6f-4954-9082-19287211f4f3 · outbound

This paper cites Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition

Reference 1996

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:54:11.469795Z

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.

Observation 6c1355e6-f6b7-47ac-84a7-65d9bb534ab9 · outbound

This paper cites Three scenarios for continual learning.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Three scenarios for continual learning

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.999300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9441ed0f-6e4f-458f-b691-9a4e1be6e14f · outbound

This paper cites Con- tinual federated learning based on knowledge distilla- tion.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Con- tinual federated learning based on knowledge distilla- tion

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.982430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3c04012-d4a7-4a8b-a3e9-a68ab55f7a22 · outbound

This paper cites Domain-adversarial training of neural networks.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Domain-adversarial training of neural networks

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:54:11.561434Z

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.

Observation d3c59007-8c9e-4751-9946-6a6ae88fccf1 · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.936612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bdfb95-4660-4259-a6b5-8cd0b1d9e377 · outbound

This paper cites Federated Learning of a Mixture of Global and Local Models.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Federated Learning of a Mixture of Global and Local Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.951633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8a2e600-abf8-4f6a-bb46-f03c40d66028 · outbound

This paper cites Em- nist: Extending mnist to handwritten letters.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Em- nist: Extending mnist to handwritten letters

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.932083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ae6758-f5bd-4f6e-950f-1ebdc57ffa1a · outbound

This paper cites Better generative re- play for continual federated learning.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Better generative re- play for continual federated learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.986353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b70d0a-d77d-413f-a5bc-071f583b1f5b · outbound

This paper cites an unresolved cited work.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.990424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ffc6c68-0b66-4a13-a467-89f94a639ec8 · outbound

This paper cites Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning.

Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:54:10.922157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c703c769-23e3-4768-be49-64acbbc1c759 · inbound

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey cites this paper.

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

Reference 254

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:46:51.480100Z

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.

Observation 13b87c8e-47df-4d9c-b9b7-90335eba15d7 · inbound

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection cites this paper.

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T15:54:59.776424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eaf2614-0ad7-4c34-82e0-6d7270d9f25d · inbound

SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning cites this paper.

SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:57.546213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.