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Paper Citation Record · LEDGER

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2508.21240.

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

pith.paper-citation-record.v1
2508.21240 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:31:17.818382Z

measured 59 of 59 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 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

59 of 59 outbound references displayed

  • verified exact9
  • verified fuzzy9
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Online Continual Learning with Maximally Interfered Retrieval.

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 651eac0e-dd60-4d57-ab08-cd6d23c0f82f · outbound

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

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Gradient based sample selection for online continual learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:20.235311Z

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.

source=arxiv_source observed=2026-08-05T14:31:11.796799Z digest=sha256:19822784c46eb794a1bfb836a430dc9ec441a867e5d8b857f779d0c22b2e8308

Observation f6f04a88-3cbe-4678-b702-d0a8c0f4ca81 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:25.947489Z

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.

source=arxiv_source observed=2026-08-05T14:31:11.902448Z digest=sha256:8122a44213b7ef462f50277c3d0a06a350fccb578e040cdb4580810b59cc98d7

Observation a9bdbd44-1df1-4504-920c-6432a08af184 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:25.773767Z

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.

source=arxiv_source observed=2026-08-05T14:31:11.971293Z digest=sha256:d8e2bcc20ee7c50061c2d65bd16ef6f8f9317427d179a164ee8a24e18db2d222

Observation 38883391-bd4f-4e87-8f9a-322e9c91879d · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.040919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.040919Z digest=sha256:84de188446c52f16348cf840d09bb61cf9f3650373402ce2c615ea87aedd2893

Observation a3439e3d-19b9-4e85-b87d-9b0168ad115a · outbound

This paper cites Continual Learning with Self-Organizing Maps.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning with Self-Organizing Maps

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:20.065018Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.092492Z digest=sha256:7c0b6275f0342b02e64790c9579aca14388fc3939152074891b6549acb0eac98

Observation a190533f-ff7a-45ea-ac7a-6446b625d267 · outbound

This paper cites Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Dark Experience for General Continual Learning: a Strong, Simple Baseline

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.176269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.176269Z digest=sha256:73a92224d6d087de7059124278205407fff0002a0919b08cb4bfbabf1c275258

Observation 6db2a2ed-5543-4440-bd09-dd3009702166 · outbound

This paper cites New Insights on Reducing Abrupt Representation Change in Online Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay New Insights on Reducing Abrupt Representation Change in Online Continual Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.287653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.287653Z digest=sha256:997b40c8858442b13e136cc46a1194a14b03e2645577e63e73c0535d32180e06

Observation 126126c1-2a0a-4a1e-8405-56a7ae378204 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Efficient Lifelong Learning with A-GEM

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.377437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.377437Z digest=sha256:f992d197976b7bf3eb19f2d06bf6762944243bc20ed35e5845660b8a060b2e60

Observation c91bd99f-2a32-4736-afa7-fba3e44e72d3 · outbound

This paper cites CLA: Latent Alignment for Online Continual Self-Supervised Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay CLA: Latent Alignment for Online Continual Self-Supervised Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.460535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.460535Z digest=sha256:da41098317fca02a891989e21d91bd7abf78ba41e7fa5531c8608c6bf4073e97

Observation 92220c42-3ee0-4c87-af0e-2583a273df20 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:25.588101Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.546381Z digest=sha256:a6d580ed7e7e10589a6dd2f6c5041ea742ad2f9e4bd20f8bbae4405c15fd2ea9

Observation 423259bf-2e40-4558-b6fa-c3c9ef310354 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:25.401651Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.605669Z digest=sha256:1870fe08f61e2839cbf0ff146eb7a8da70e90bc9bdcd2edf748883cbc38d2138

Observation f8d6326d-ef7e-4fa5-8935-6642914ef626 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:25.153650Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.671339Z digest=sha256:7c11bac08e11310f3d927ee33fc955bfcf44db2cb6893adad8ba9e20f3c98b39

Observation b061c207-fa3f-41e7-976f-a38bbff16a87 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:24.978533Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.767166Z digest=sha256:773a272eca9cf600ffd885fc463b1f1b76fbee8d5166d73b2a05c8a8c43b212d

Observation 3fcca6a9-587d-4401-80a6-2fb05a4ba45a · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:12.823884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:12.823884Z digest=sha256:ba9e07a46e55044dada363345ce324286971aa36637834b1aff37eb0f9d61c35

Observation 6acc5a41-b099-42ad-a628-d5f82b501595 · outbound

This paper cites I.-K.; and Abdulla, W.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay I.-K.; and Abdulla, W

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:24.751018Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.907810Z digest=sha256:6a40c61400cda399650e00a2c8c6baf9aa6dd9a55991d96f4ee1d0d1c16aaa51

Observation 71219c7a-0e54-43e2-a18d-dbb4cdb7a178 · outbound

This paper cites R.; Wang, K.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay R.; Wang, K

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:24.512193Z

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.

source=arxiv_source observed=2026-08-05T14:31:12.995213Z digest=sha256:33b405422192bac90cd48cfdaf17dce2c5d89b87157758e5ef9f25fa941674e6

Observation 70a2b39b-1e90-45a4-b641-5b9d103a5277 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:24.238647Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.112217Z digest=sha256:1e058ea3902ef3843b92506b15fc56e1b90508d4c0a4a1ec1c9e1abd7abf36ab

Observation 478c661a-4ee9-4243-a0e2-944cd6537c6d · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:23.954956Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.199075Z digest=sha256:f5c6fa108ea686e5f2d16ae23d706b1dc85438ee28ebd0e6b3bad9a691fc76ee

Observation 9739226b-2c07-411b-803f-6ef27fe37497 · outbound

This paper cites Auto-Encoding Variational Bayes.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Auto-Encoding Variational Bayes

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:13.289063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:13.289063Z digest=sha256:357f0024c4246406718385b6a23258c16a14b4e1346dbf4aca4dd1c197e9c7ec

Observation da022db5-c138-4ab7-8daa-d3dabc699718 · outbound

This paper cites P.; and Welling, M.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay P.; and Welling, M

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:23.685718Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.360789Z digest=sha256:2b8a1d0b37b1a9de94289b263a0e4e6d14a897ac91c39c98931ce1ebad9b7b2c

Observation 1133a094-4007-49d3-a78d-0f1af5ee82d9 · outbound

This paper cites A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; Hassabis, D.; Clopath, C.; Kumaran, D.; and Hadsell, R.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; Hassabis, D.; Clopath, C.; Kumaran, D.; and Hadsell, R

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:23.422182Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.421608Z digest=sha256:8a5830c0fbf5259d298e70db3bbc3681cb840ca3fa63110537f7084b169dbfcd

Observation b65972fa-ad7a-4970-b9b0-c38b257c3837 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:23.186473Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.523366Z digest=sha256:7ea017dad8ba96db74c165ec119a4faa2f14d5e1f60469ff9f277a82aba48386

Observation 724f9be7-92b1-4342-9faf-2fe0d10aac91 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:22.911475Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.608153Z digest=sha256:82a78f9fc1510abfbdb2338ee9b3c7fc0b971c3e55cf9c0152caa2ff76901982

Observation 2c4b1fb3-a0c0-4211-a704-c8ce9b73aeeb · outbound

This paper cites Learning without Forgetting.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Learning without Forgetting

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:13.695324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:13.695324Z digest=sha256:4f89ba26ea778699828bff12fc335653f9e0f06e32176ed7f159dd0afc31c2b8

Observation feea252c-eb8a-44b0-9001-3d8f12e3dcf3 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:22.608559Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.765967Z digest=sha256:f9a4e3bae46fe667fe09d16d19cce8479669287206534a285a8a08da924f2c35

Observation 49225418-5de0-4374-b422-a86e3b23c80b · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Gradient Episodic Memory for Continual Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:13.821237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:13.821237Z digest=sha256:9bb03d9c4b5a6893a34e9eb5802fbe48930a27c72defd686f8cf8d923376bcda

Observation 2b94eb2c-dfd3-4363-bd01-4778797e6615 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:22.341752Z

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.

source=arxiv_source observed=2026-08-05T14:31:13.920120Z digest=sha256:fd58a058dca6840e467846c93ce8e1ba0a72e7f50c5d1382f2fa14658b60148d

Observation d77daa44-bd34-446f-b00a-15e1781ccd4b · outbound

This paper cites Representational Continuity for Unsupervised Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Representational Continuity for Unsupervised Continual Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:14.139481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:14.139481Z digest=sha256:43f7e0fa59f8555c5f37785e06e2676caea99ba2bb2bc756da266080090b43d2

Observation b0c3a142-29a9-4682-aa99-ab022254cfbc · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:22.178104Z

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.

source=arxiv_source observed=2026-08-05T14:31:14.313245Z digest=sha256:083a52e914f7e5dc6edc70a4853d13c57d19d21cabb272a8b740741daa776044

Observation 740ae65c-9207-4918-98dd-85d5ded60c87 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:22.001137Z

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.

source=arxiv_source observed=2026-08-05T14:31:14.438542Z digest=sha256:8fc66bd3990882628913a635007a239af937783ca89f2d91a1e894061d43fee8

Observation e3f9cda2-63b6-459b-9008-a5a74f78c3f7 · outbound

This paper cites L.; and Kifer, D.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay L.; and Kifer, D

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:21.821543Z

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.

source=arxiv_source observed=2026-08-05T14:31:14.612022Z digest=sha256:5ff6968f3289e8f6f7c3085f9236d4edaaccac6e59195f1529544f61ddcc0b0f

Observation aacad833-e066-4753-88e5-4df87aa08d2a · outbound

This paper cites Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:19.706475Z

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.

source=arxiv_source observed=2026-08-05T14:31:14.815000Z digest=sha256:03ef2d9dca7649e40421df6c0413a0877b7522c1c7e1ee5945a7638e4b6ec17a

Observation bcc7a461-36f7-43b3-a220-a83e2f783033 · outbound

This paper cites I.; Kemker, R.; Part, J.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay I.; Kemker, R.; Part, J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:21.635646Z

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.

source=arxiv_source observed=2026-08-05T14:31:15.014735Z digest=sha256:2c9a0b26600952ca99d94e0955d907fea47a6aed885c005633a21bbfb12ecc3a

Observation 647a1d73-ce4a-4988-a58c-d55fa8849b02 · outbound

This paper cites Dendritic Self-Organizing Maps for Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Dendritic Self-Organizing Maps for Continual Learning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:19.499510Z

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.

source=arxiv_source observed=2026-08-05T14:31:15.139784Z digest=sha256:fe5a39a244a17b106a3ca6607523dd0f6c6d582a0bddd328366108d01d9338f5

Observation 3135e970-26c0-40ec-b1c0-036258b4a937 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:21.470265Z

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.

source=arxiv_source observed=2026-08-05T14:31:15.287277Z digest=sha256:fddf493a54114e462ffd8f7de0738a2467641ac38fd07020eae12af891bf3b2a

Observation b3f1e1b9-32fa-42e7-904d-39bcc108d3c8 · outbound

This paper cites W.; and Hadsell, R.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay W.; and Hadsell, R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:21.273867Z

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.

source=arxiv_source observed=2026-08-05T14:31:15.417151Z digest=sha256:07d40cc8a86caf04c358d07d742ceb3ee1d63bcc2d37e5d0016a0b5eb5b04ce6

Observation f6221d25-babd-47d1-9f57-fbc1348b6e8a · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay iCaRL: Incremental Classifier and Representation Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:15.546683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:15.546683Z digest=sha256:d7dff5ae722a1e1f25e94bdf2315f3141fcb3275e89cebaa25dc81c3072c4ed4

Observation 23bc7838-1f71-442b-9f8b-0f816a2b61de · outbound

This paper cites Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:19.184842Z

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.

source=arxiv_source observed=2026-08-05T14:31:15.730761Z digest=sha256:255d65458218bff2f67e4c13f63e7dbcae38a58a335cb9df034261fd813daa83

Observation 6d04320c-9478-499b-bf00-02906196de5c · outbound

This paper cites Progressive Neural Networks.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Progressive Neural Networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:15.901550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:15.901550Z digest=sha256:02f9f2f79ff005120a7eba5f76caf696eeba19aad1630188ea6d5cee012ee73f

Observation 5acd8565-00ca-47b8-b7a8-9e4cc63eabec · outbound

This paper cites J.; and Muller, K.-R.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay J.; and Muller, K.-R

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:21.097307Z

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.

source=arxiv_source observed=2026-08-05T14:31:16.001662Z digest=sha256:b9a7291acf868f23b7eb90709cfa647c8b0248a98ac3d2249fca70dd339985d6

Observation 593ac5de-01bb-43c7-a63c-c5e4af1fe6b4 · outbound

This paper cites Progress & Compress: A scalable framework for continual learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Progress & Compress: A scalable framework for continual learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.133764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.133764Z digest=sha256:57140c5576fa49601140d10cf2b0f4872dbf5bace945447d64639de202b99fcd

Observation c2c22292-7a00-4527-9297-af26f9a5e686 · outbound

This paper cites Continual Learning with Deep Generative Replay.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning with Deep Generative Replay

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.253543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.253543Z digest=sha256:95b19540283ebb37142cd0b80b5f59475256e8b3d620b22854d7602ce1079b20

Observation 288e2a12-bb11-4859-a2ba-5bc08d0e87b0 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.394696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.394696Z digest=sha256:59a7ad5cb2fe8f0758ef55dcbd599593cb4049f23e79bd6a001a9f2e57295974

Observation 5cb5eb56-4f6f-4f50-a388-f3e1896591dc · outbound

This paper cites Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:18.881225Z

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.

source=arxiv_source observed=2026-08-05T14:31:16.498752Z digest=sha256:2321b3bee7cf6786154086944490a01f9670c8d041169a922da7ddcb2448b60d

Observation a71fbb15-f603-4efc-96af-6fd84d837282 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:20.917970Z

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.

source=arxiv_source observed=2026-08-05T14:31:16.558161Z digest=sha256:f6901c567d93c0e3ddba856122427d41d9bb941bad73ea293f92a449680a4f47

Observation b77b4dd8-d42e-418b-8bcd-271ceabecf49 · outbound

This paper cites Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:18.616379Z

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.

source=arxiv_source observed=2026-08-05T14:31:16.634586Z digest=sha256:58a0a9dffbd969554bdb3ae94a4e780dc7dfc5d04ab0def096bf442528fb10e0

Observation 607d054f-a31c-4248-8370-0345ae626241 · outbound

This paper cites Generative replay with feedback connections as a general strategy for continual learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Generative replay with feedback connections as a general strategy for continual learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.706656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.706656Z digest=sha256:1bf9140412884d8d46e44ba14f572dc5e59dbb6ec9992bde9f060ea1a6548e0b

Observation bc9b1600-a8af-4478-ab94-725188b8fe45 · outbound

This paper cites M.; Tuytelaars, T.; and Tolias, A.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay M.; Tuytelaars, T.; and Tolias, A

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:31:20.727385Z

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.

source=arxiv_source observed=2026-08-05T14:31:16.794797Z digest=sha256:1d94921cb15b97d9a78399b2c6f30a57781fc65340a9f4f2532302649cd5d510

Observation 53ef48ba-b08a-4df8-9eba-d0378bb05493 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.890650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.890650Z digest=sha256:df5d11c8248daf6fe6a8d55b2f48637422d9485d5ff81158f82193ea375b0015

Observation 9fcaceb6-59dc-46a0-8fba-a7cc74138d8e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:16.967996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:16.967996Z digest=sha256:9ad884052076905d372061c78dffbfb251d19b8f7c93690487b69f3dd908e6c5

Observation c919e397-5852-4f84-aed2-89b99e65cf23 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:20.587217Z

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.

source=arxiv_source observed=2026-08-05T14:31:17.073718Z digest=sha256:4321a0fcce8814e65bcb649b82269d000d1fa26baf386ac69725e948a6cc3075

Observation e4b389dd-4d4e-40b1-a495-65af5c3ebfc8 · outbound

This paper cites Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:18.299321Z

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.

source=arxiv_source observed=2026-08-05T14:31:17.190360Z digest=sha256:c681a3a189d130aa6a1a77096fdb8f0bb75b25a56013fab12252d88c7f7db277

Observation bcfe27f3-092a-4846-897c-df9205ce2c18 · outbound

This paper cites an unresolved cited work.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:31:20.405446Z

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.

source=arxiv_source observed=2026-08-05T14:31:17.334677Z digest=sha256:7c324de33879b613c023c1fd416c7370fc28712b5a00da18ad4c13d97391dbd1

Observation 00cf31c3-a0e4-4818-a6d1-606d112cf2f6 · outbound

This paper cites Continual Learning of Context-dependent Processing in Neural Networks.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning of Context-dependent Processing in Neural Networks

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:31:18.103992Z

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.

source=arxiv_source observed=2026-08-05T14:31:17.442947Z digest=sha256:4c99bd60ce4cda7eedab97b779eb540f22f6a63da0c3ff11e805656aa9b7f84a

Observation 1b675680-044d-434d-a625-07f6b51d5d27 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Continual Learning Through Synaptic Intelligence

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:17.499418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:17.499418Z digest=sha256:8502b2ea056c7b4614ba1b473e806e7ca60993578922d1ff303b219b7c20c65f

Observation 210c02c7-1909-47d0-a70d-592351a00b1f · outbound

This paper cites A Statistical Theory of Regularization-Based Continual Learning.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay A Statistical Theory of Regularization-Based Continual Learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:17.582551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:17.582551Z digest=sha256:d4ccf7c6c33346fc05940dc6b87f8bc5c115fc591db5aeac53758621ea121b09

Observation c93ecc37-c7a2-4213-b55f-47b73839694b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay , " * write output.state after.block = add.period write newline

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:17.678443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:17.678443Z digest=sha256:f06898d13d23d3b759ec7bc590c10e79fd750f5d96da9b479e985d3364fc6a66

Observation 34d96734-4722-42b6-9cd0-dbce31a78c3e · outbound

This paper cites write newline.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:17.818382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:17.818382Z digest=sha256:8235a28afc2921da9d73db160b3e9267df9059d25f7cc347bf30770fb757d6b2

Pith citing papers

No inbound Pith citation observations are available.