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Paper Citation Record · LEDGER

Online Continual Learning with Maximally Interfered Retrieval

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:1908.04742.

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

pith.paper-citation-record.v1
1908.04742 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:00:27.263678Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:31.936834Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:32:18.086830Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07ae3299-f592-49f9-8a99-12c0a4c32120 · outbound

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

Online Continual Learning with Maximally Interfered Retrieval Memory aware synapses: Learning what (not) to forget

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 73907a5a-9aae-4b6a-8c9c-873635c08b31 · outbound

This paper cites Task-free continual learning.

Online Continual Learning with Maximally Interfered Retrieval Task-free continual learning

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 67a5db8e-6241-414a-9a8f-5281e4d7a6e1 · outbound

This paper cites Online continual learning with no task boundaries.

Online Continual Learning with Maximally Interfered Retrieval Online continual learning with no task boundaries

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 11dbe31d-d9cd-46b1-89c5-36c87d5fe6fe · outbound

This paper cites Expert gate: Lifelong learning with a network of experts.

Online Continual Learning with Maximally Interfered Retrieval Expert gate: Lifelong learning with a network of experts

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.890596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a9d1a7c5-f512-41a9-8b84-b3ae616d2c00 · outbound

This paper cites Gradient based sample selection for online continual learning.

Online Continual Learning with Maximally Interfered Retrieval Gradient based sample selection for online continual learning

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.066531Z digest=sha256:aacf5e4d956120cb415fcaa94d93c244590e793a88339ac3f0db5200a3611ec8

Observation 3ac7521e-c127-46bb-b56e-0d96016d1062 · outbound

This paper cites Efficient lifelong learning with a-gem.

Online Continual Learning with Maximally Interfered Retrieval Efficient lifelong learning with a-gem

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation aa71e2a2-f4c9-4796-996b-fb255a62160a · outbound

This paper cites Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence.

Online Continual Learning with Maximally Interfered Retrieval Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

Reference 7

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no resolver link, observed 2026-08-14T14:00:27.077051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.077051Z digest=sha256:94c9613bd6ac823ea9e52e58aad8fe6772b6d9ad0ed4266807b6a3d122ba40ab

Observation efffb4b0-9dc8-4e67-a00d-a4f0f4266777 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval On Tiny Episodic Memories in Continual Learning

Reference 8

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no resolver link, observed 2026-08-14T14:00:27.082212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.082212Z digest=sha256:d6788606be1589cb3459e46f19727693f2a9898359ff8565a6f5a6cd20116052

Observation 3f87b17a-570c-4233-a50d-d7f7ca885287 · outbound

This paper cites Towards Robust Evaluations of Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval Towards Robust Evaluations of Continual Learning

Reference 9

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no resolver link, observed 2026-08-14T14:00:27.087124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.087124Z digest=sha256:0b5adead5e3c9146f4ab043dc36ba9c3953b2ce8cad13712f4fb896779e5c634

Observation c371e025-8646-4e7d-84a0-bd797d9304e5 · outbound

This paper cites Semi-distributed representations and catastrophic forgetting in connectionist networks.

Online Continual Learning with Maximally Interfered Retrieval Semi-distributed representations and catastrophic forgetting in connectionist networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.849172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8520a2ee-5b76-4b18-9fa4-9960a0c7bf13 · outbound

This paper cites Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference.

Online Continual Learning with Maximally Interfered Retrieval Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.832741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 63303e1b-21de-4136-9f1c-5e68090041e7 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Online Continual Learning with Maximally Interfered Retrieval Catastrophic forgetting in connectionist networks

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.102795Z digest=sha256:b1b60f682b77862fab3fb917d9d9d397f2b588aeb33fd5525b1fad390f7880e3

Observation cb05214f-6abd-4000-b378-399a4dffaf6e · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Online Continual Learning with Maximally Interfered Retrieval An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 13

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no resolver link, observed 2026-08-14T14:00:27.107323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a91c3f64-e7f4-48d3-b92e-d882f8df7e0c · outbound

This paper cites Studies of mind and brain : neural principles of learning, perception, development, cognition, and motor control.

Online Continual Learning with Maximally Interfered Retrieval Studies of mind and brain : neural principles of learning, perception, development, cognition, and motor control

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.805667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fc09ff58-2573-480d-b02f-37bac0b97e06 · outbound

This paper cites Switching between internal and external modes: a multiscale learning principle.

Online Continual Learning with Maximally Interfered Retrieval Switching between internal and external modes: a multiscale learning principle

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.792062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ebff232d-3c97-48d3-809f-479808e353d9 · outbound

This paper cites Auto-Encoding Variational Bayes.

Online Continual Learning with Maximally Interfered Retrieval Auto-Encoding Variational Bayes

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43993415-eff5-488c-899d-0898802a9e35 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Online Continual Learning with Maximally Interfered Retrieval Overcoming catastrophic forgetting in neural networks

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T14:00:27.126970Z digest=sha256:7a35432653ca57c4c0838fded52ef3b97b60ddbc4f2b6a283f300571f606246e

Observation cb8470a6-cbaa-487f-8850-d29a6fa7d0f2 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Online Continual Learning with Maximally Interfered Retrieval Overcoming catastrophic forgetting in neural networks

Reference 18

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no resolver link, observed 2026-08-14T14:00:27.131562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d17a0da2-da92-4e34-952d-590edfb0b4ae · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Online Continual Learning with Maximally Interfered Retrieval Imagenet classification with deep convolutional neural networks

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34b2375c-7b68-4f86-9963-9ff6f95a2f49 · outbound

This paper cites Alcove: an exemplar-based connectionist model of category learning.

Online Continual Learning with Maximally Interfered Retrieval Alcove: an exemplar-based connectionist model of category learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.748684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 64d6fe09-87b4-405c-894c-aa169182a787 · outbound

This paper cites Human category learning: Implications for backpropagation models.

Online Continual Learning with Maximally Interfered Retrieval Human category learning: Implications for backpropagation models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.733014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ea9ecbb3-bce7-4c2d-9dc6-702c69d8aa71 · outbound

This paper cites Continual classification learning using generative models, 2018.

Online Continual Learning with Maximally Interfered Retrieval Continual classification learning using generative models, 2018

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.717422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ab6942f9-0a2e-413a-95c1-fa2a22ddd9af · outbound

This paper cites Generative Models from the perspective of Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval Generative Models from the perspective of Continual Learning

Reference 23

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verified exact
local_arxiv, observed 2026-08-14T14:00:27.396389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e5637212-f9f0-400c-bc89-b5b67cef2a9b · outbound

This paper cites Marginal replay vs conditional replay for continual learning.

Online Continual Learning with Maximally Interfered Retrieval Marginal replay vs conditional replay for continual learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.703386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 44aefb06-1ebe-4b63-96e1-ebecd1438323 · outbound

This paper cites Learning without forgetting.

Online Continual Learning with Maximally Interfered Retrieval Learning without forgetting

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.688254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee64db99-904e-4c15-b4cc-46397dfbd627 · outbound

This paper cites Decoding the tradeoff between encoding and retrieval to predict memory for overlapping events.

Online Continual Learning with Maximally Interfered Retrieval Decoding the tradeoff between encoding and retrieval to predict memory for overlapping events

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.673677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.174885Z digest=sha256:5b89db357512ff8028015a553d469dde0c54e5916766cdfb4e50c7cf0b42767b

Observation 24bfd251-94b9-4683-a378-175dcc6c396d · outbound

This paper cites Gradient episodic memory for continual learning.

Online Continual Learning with Maximally Interfered Retrieval Gradient episodic memory for continual learning

Reference 27

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no resolver link, observed 2026-08-14T14:00:27.179942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ff37a6cb-b3c8-42b6-a32c-3347eeca9669 · outbound

This paper cites Complementary learning systems in the brain: A connectionist approach to explicit and implicit cognition and memory.

Online Continual Learning with Maximally Interfered Retrieval Complementary learning systems in the brain: A connectionist approach to explicit and implicit cognition and memory

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.649201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.185982Z digest=sha256:ccd6e9e94a7b91891ddeb530d6dc479e3b5da5f6288450022cb6fb2806cc4883

Observation 9d6e59a4-ab96-4273-bcd6-c5f9d3ab4858 · outbound

This paper cites Variational Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval Variational Continual Learning

Reference 29

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no resolver link, observed 2026-08-14T14:00:27.191870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.191870Z digest=sha256:53410c96c5539f41111034c4663fd9bb713f62fbf3bb7fce20cc35ce11953c98

Observation d252c602-1a40-4367-961e-8290afe96597 · outbound

This paper cites Lifelong Generative Modeling.

Online Continual Learning with Maximally Interfered Retrieval Lifelong Generative Modeling

Reference 30

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no resolver link, observed 2026-08-14T14:00:27.196666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.196666Z digest=sha256:40ae145c72f5cf574aa041f719bc20ab38066da06cc0457bb03e2633230b21ec

Observation 2ceab093-f117-43c1-83ea-ebdb9e3a6298 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Online Continual Learning with Maximally Interfered Retrieval icarl: Incremental classifier and representation learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.634542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.201292Z digest=sha256:7815b8c66c134fb8d851f4d581c8a41d9eb9e4619fcc6e8ea54ef60ec8acbf74

Observation 3238d032-7b6d-4a58-86b7-8d589f2dc41a · outbound

This paper cites Scalable recol- lections for continual lifelong learning.

Online Continual Learning with Maximally Interfered Retrieval Scalable recol- lections for continual lifelong learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.620465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.208687Z digest=sha256:13fb39c158289cf98b7a5cf4c459c4af16b5b4816531c0f2b6173582d187bedf

Observation 03c495ba-73bf-4935-9f11-97149a3f26c4 · outbound

This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal.

Online Continual Learning with Maximally Interfered Retrieval Catastrophic forgetting, rehearsal and pseudorehearsal

Reference 33

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no resolver link, observed 2026-08-14T14:00:27.213662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.213662Z digest=sha256:59c7712d78c503addf610a2ec044d52e841a1432e18a97c06225edccc1a38d6e

Observation c8710ba4-5ad4-4b7e-a012-ff0f7f2642a4 · outbound

This paper cites Experience Replay for Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval Experience Replay for Continual Learning

Reference 34

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unresolved
no resolver link, observed 2026-08-14T14:00:27.220651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.220651Z digest=sha256:5d1fd11c600f082c9ca11d995c02ea90a05ca20209af44062be1a059ef40e1ee

Observation a533bd4c-071b-4e36-9e98-1eea14ec16cb · outbound

This paper cites Lillicrap, and Greg Wayne.

Online Continual Learning with Maximally Interfered Retrieval Lillicrap, and Greg Wayne

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.589939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.230265Z digest=sha256:ef485804a4ef4f66fa81fb65058599aaa23b6d4a118a892dc058161a80163d23

Observation 2a41d33a-e987-403e-be2e-7941ebc15b44 · outbound

This paper cites Progressive Neural Networks.

Online Continual Learning with Maximally Interfered Retrieval Progressive Neural Networks

Reference 36

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no resolver link, observed 2026-08-14T14:00:27.236365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.236365Z digest=sha256:410309c1408f084e5acddb05c898c8a37d8476bf0d228860cfb5232066d5f16b

Observation 39dc2edc-db5f-444e-a01a-ceae2458ad64 · outbound

This paper cites Continual learning with deep generative replay.

Online Continual Learning with Maximally Interfered Retrieval Continual learning with deep generative replay

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.241869Z digest=sha256:4bdcf5bfe05dce2c947385bd58003ed4f0259cbd999be8fb1c5dcb7e462d63ed

Observation 26515970-14d3-4a12-9bce-aae77375faf6 · outbound

This paper cites Reducing interference in distributed memories through episodic gating.

Online Continual Learning with Maximally Interfered Retrieval Reducing interference in distributed memories through episodic gating

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.562941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.246175Z digest=sha256:94496e5a1efc154c61f0914dd3ad84b6a0bdd3148392fd8a3853d44585cf905c

Observation ed6722d6-fbad-4129-aaee-24bd4340fc82 · outbound

This paper cites Matching networks for one shot learning.

Online Continual Learning with Maximally Interfered Retrieval Matching networks for one shot learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.548183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.251218Z digest=sha256:373fb5a755ec342960804b9540dfafb7d5d96e3f9476aee3895fa2cb031fa8a9

Observation ca6108a3-24a0-4de8-a26e-72ab335d160c · outbound

This paper cites Reinforced Continual Learning.

Online Continual Learning with Maximally Interfered Retrieval Reinforced Continual Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:00:27.323261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.254999Z digest=sha256:592d1d931ac358e139ebb4e7691b6938df3db09876786f37ffc9b8d8bc5bf1ef

Observation 12b6c280-c378-4391-a99d-458826b3b198 · outbound

This paper cites Improved multitask learning through synaptic intelligence.

Online Continual Learning with Maximally Interfered Retrieval Improved multitask learning through synaptic intelligence

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:00:27.531203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:00:27.259735Z digest=sha256:283df6e4866b744c9cb20fb7e1019029d9b538e4ea63094f32bf9d8eb54c2d92

Observation 9d3b6953-385f-469b-8905-49032e55d97d · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

Online Continual Learning with Maximally Interfered Retrieval Continual Learning Through Synaptic Intelligence

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T14:00:27.263678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:00:27.263678Z digest=sha256:90400623096a06cef4d59b89e32ab145da5318e5ec542a3aeb16eca280d5217a

Pith citing papers

Observation ff236d50-1060-4b2a-a7ef-0942d719a7be · inbound

Autoencoder-Based Hybrid Replay for Class-Incremental Learning cites this paper.

Autoencoder-Based Hybrid Replay for Class-Incremental Learning Online Continual Learning with Maximally Interfered Retrieval

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T22:57:31.936834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:57:31.936834Z digest=sha256:f78fcd143d3060ee17edf795daf74e940a3177cc20d6126221df938ae2e8899c

Observation aaf4e3bc-b302-44ce-8ff0-90b97b8340a5 · inbound

GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning cites this paper.

GRID: Scaling Task-Agnostic Inference in Continual Prompt Tuning Online Continual Learning with Maximally Interfered Retrieval

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:28.085440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:55:28.085440Z digest=sha256:9ba9c479f07d35c62d4d143e0e8585e963520fa264c7cd7f01dd62cdfa3b428b

Observation 05b1222c-39d8-4797-8a07-e6d494513ae5 · inbound

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay cites this paper.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Online Continual Learning with Maximally Interfered Retrieval

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:11.752724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:11.752724Z digest=sha256:a07ef4d1f920016a955790ff71f979e73b177f5f6ca8174ac9d155853402f10d

Observation 5ffcdcdf-1d7f-4608-9657-2e8eccc28713 · inbound

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models cites this paper.

MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models Online Continual Learning with Maximally Interfered Retrieval

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T22:32:18.092940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:32:17.775629Z digest=sha256:04f94af0c067b59bdc64ed84afa02bf4c299a76d39a99c16d4fdb7edcd9e88df