Paper Citation Record · LEDGER

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2501.10861.

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

pith.paper-citation-record.v1
2501.10861 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:59:40.020356Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy17
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60443b66-da0f-4b18-b658-e716560faca9 · outbound

This paper cites Learning in nonsta- tionary environments: A survey,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Learning in nonsta- tionary environments: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.745503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20ffe475-991b-4065-99a1-43c7b46792af · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Overcoming catastrophic forgetting in neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.697769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f52c0fd6-f2e8-4ed2-b161-1f539240418a · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Continual lifelong learning with neural networks: A review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.666875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb6eee71-9f9c-4856-82c2-5abc9cb30289 · outbound

This paper cites Catastrophic interference in connec- tionist networks: The sequential learning problem,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Catastrophic interference in connec- tionist networks: The sequential learning problem,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.619195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 751102ad-9ba0-45e0-a69a-0aca491cb9f5 · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Catastrophic forgetting in connectionist networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.605134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1821a2d0-109e-47c6-b7c7-6a4e9db26217 · outbound

This paper cites Continual learning through synaptic intelligence.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Continual learning through synaptic intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.582995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4393439-51a7-4492-b688-fbe81eebe03a · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Memory aware synapses: Learning what (not) to forget

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.560033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5543d8b7-489d-4302-be8a-87e7b33a0ca2 · outbound

This paper cites Overcoming catas- trophic forgetting with hard attention to the task.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Overcoming catas- trophic forgetting with hard attention to the task

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.544035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0adc2153-440e-42e4-8814-d8b982f7ddd8 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Lifelong Learning with Dynamically Expandable Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.897485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7acfe8d5-77f9-4d0e-af69-f426ff292e92 · outbound

This paper cites Progressive Neural Networks.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Progressive Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.903894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a89e8b7-0eae-4855-a716-7de9d789387b · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation iCaRL: Incremental Classifier and Representation Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.911736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc86b6a6-7a0a-4880-a0cb-dfed71c17970 · outbound

This paper cites Memory Population in Continual Learning via Outlier Elimination.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Memory Population in Continual Learning via Outlier Elimination

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:59:40.230865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f73d44ad-7645-43eb-b848-b8b3f526bb37 · outbound

This paper cites IL2M: Class Incremental Learning With Dual Memory,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation IL2M: Class Incremental Learning With Dual Memory,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.518953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97c94511-f623-4123-8520-e6f584b05e4d · outbound

This paper cites FearNet: Brain-Inspired Model for Incremental Learning.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation FearNet: Brain-Inspired Model for Incremental Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.928087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d885c3dd-cf0c-40c0-a549-d7d448edc263 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Efficient Lifelong Learning with A-GEM

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.937968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e29fb89-877a-43d5-8d9d-976b06a28f74 · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Gradient Episodic Memory for Continual Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.942030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc52e5f-5ed0-4137-99b5-36f0da311ae1 · outbound

This paper cites Continual Learning with Deep Generative Replay.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Continual Learning with Deep Generative Replay

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T18:59:39.951961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a344e6a6-2c9b-4348-9e0d-9e48035c3da9 · outbound

This paper cites PremiUm-CNN: Propagating uncertainty towards ro- bust convolutional neural networks,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation PremiUm-CNN: Propagating uncertainty towards ro- bust convolutional neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.481784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58c47387-690e-4ce0-89d6-4c4dbb6cfb7c · outbound

This paper cites Auto-encoding variational bayes.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Auto-encoding variational bayes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.466963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36a4a333-9ccf-4893-a2b9-3e255a781c17 · outbound

This paper cites Weight uncertainty in neural network,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Weight uncertainty in neural network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.424918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b68929c2-457c-4df7-946d-931bdb2c1989 · outbound

This paper cites Keeping the neural networks simple by minimizing the description length of the weights,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Keeping the neural networks simple by minimizing the description length of the weights,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.407689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e954ec6-8325-4cb2-a8af-a2c325ffd3c3 · outbound

This paper cites Continual Learning from the Perspective of Compression.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Continual Learning from the Perspective of Compression

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:59:40.061320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2d49bd3-6d2b-4840-8106-c9edc356c5ce · outbound

This paper cites Three types of incremental learning,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Three types of incremental learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.381418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b8099587-056b-451c-bc9f-9e46a47a1feb · outbound

This paper cites Uncertainty- guided continual learning with bayesian neural networks.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Uncertainty- guided continual learning with bayesian neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.362697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a66185a5-ce50-42ed-9d9e-45427a0d1e49 · outbound

This paper cites Uncertainty-based continual learning with adaptive regularization,.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Uncertainty-based continual learning with adaptive regularization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.345667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 229eca34-ee81-4a1b-9a66-4c3d3c39d33e · outbound

This paper cites Variational continual learning.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Variational continual learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:59:40.326103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.