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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:123db3a4f67c692e9478d66d05cfc054e074b9f3d82b4c454909cdcae7e8cbee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:11.796799Z digest=sha256:da52c205aa46c6a1bb7bed8d90efdab6b6517924ff556dea5bb64d991c6d1560

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:11.902448Z digest=sha256:86e30e3d08bc6b50142cb53005a966d2c617c648d2d50d8b9071513c8a0f3b93

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:11.971293Z digest=sha256:0d3dc57537ed8d5e609ebdd56fccd57629946ca3556cda8f1b1f494dabfea5b4

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:e16dd84af836cb0b7ad12c7819081cb3ba1c7d2fcf8eef4c837f7c15a426f3a5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.092492Z digest=sha256:3472e5788c31243d5ddf035797ac8b32fa80bdd3397b35ba83a65ee386f36718

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=sha256:440ae183af2b05cee0b781e3b4aba0a26c37f2e9c69ab7b92319d8488ab3fc27

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:c4dfed6e5cdf77ebcd44451e5cb5206863c9adc7df342254fdc6ea4adcffc7c4

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:de8fb3b1eaeb89e1f56375670d47770674dc8e6a5f298e35975d089e3a3ea431

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:af05a754462b109a41ef9332540382e42d150cbe5d4f227ddbda305caf7f33c6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.546381Z digest=sha256:a0042ad6261375b89702091e12381ae3db0c30d391d81874cf2ae522bb67ee2d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.605669Z digest=sha256:4121a71b949eb1b6447ffebdefbbfc6041d043543bfffe14c913a49c1bf2f377

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.671339Z digest=sha256:78294f2f5477cbbc5067ed60abf2d9e14ad8f7e355c7bcea332dcb84444958a4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.767166Z digest=sha256:7b7089084a9bfcb795d75fb713fb6fe660be4810f149f694bfd63326999c6e6e

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=sha256:467a9b843345b2872d0e01a1f51ef00a13fb5f11ffbb517e09d858397048b5de

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.907810Z digest=sha256:3fdeaa6918e6b0e31b08b6d42286a40734492c641f6f87a998220bfb279f09d3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:12.995213Z digest=sha256:8dc453a07088b29fc9568ceb7ee1d5818ed5d088976e7de90da92d1e05013679

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.112217Z digest=sha256:598329f80188a72e70790faee0aea60c4142710f3b05c60bac0f8dd64180839b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.199075Z digest=sha256:30eb261d6ac481b97b8d12e1095ec47993357595aaae216e0741497e3e6140be

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=sha256:899c9707686e40ae82ffe225b4e36cabbf54d320f6f113b302bf6662ca34483a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.360789Z digest=sha256:efdf278f47277e53b6b9811e08e5bb28be7680ed2167da58cae5036b6eded515

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.421608Z digest=sha256:c7bc0bb5d216406b5642fdb7595a10bd2d736dd9f440be4d41aeed3d32f5fdf3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.523366Z digest=sha256:420fa6af8039c2f3fe791c6f57295dab106366e23d7a58ba23cf5e2ff4702c0c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.608153Z digest=sha256:6cc04131366847e707860973dee1b0557a08678f1ff095c62f91df6d17f5f7a8

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=sha256:0361e6b4caa5228f646b94a9b3c76361f2d71a78a0fdc3ea32d3e5d6dfa1c08d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.765967Z digest=sha256:2002e0b34d57f1c65a674a8291c236b29f50fb76d904747e49bb59e0ccdda8c6

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:c04ad615e48c804e26becc1524086b8ba0edc42043b945b88955ebe35a253862

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:13.920120Z digest=sha256:762569c3ea07bc61c128fc1663d03db09f06e5b5f5ab3a8216f3c181d59f2b49

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=sha256:8a16c0e2dcb34980600721343ea5bc58b35146f49332619a53ce54ce93f40d50

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:14.313245Z digest=sha256:eac7c200b415307bf31ff3ff6cb1c2b4a2a0cdb28b58a25d58c9665e688a6247

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:14.438542Z digest=sha256:dd74d9fd1e5b62800bf3bb9dc39fdc3b72d4732c11dc4494bac37764fe330581

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:14.612022Z digest=sha256:db4513841e7ceed64fd4beb597ba0ed2b5d17cc130701d883e9a73f0fdb8c31d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:14.815000Z digest=sha256:910e4e454956b6f66ce5885a39a62b43414bc18ccde44e28af2c0a1817dbc8c3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:15.014735Z digest=sha256:fc03e072cc2fdb0614e6911f50a98c6a199519f3d24d2de730e5755e52ee8369

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:15.139784Z digest=sha256:8c161a01982feb71bf84aec3e14908d060e7bf3dab8abeb67ff1e674c23817da

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:15.287277Z digest=sha256:98c5a4dea7e3da06325198fc5b249c59ff65e5c5f0655aee20347f35630bfb58

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:15.417151Z digest=sha256:c2d90ed9091b28efdaf32841b2ee86ad8b4a5617ce2440da4db4af8fee882711

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=sha256:65b6d6ee8a392b8c8a8fdb8860f85cbdaf37a769c2eacffa7b95480170e73793

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:15.730761Z digest=sha256:7191076239e3f66de167e5524d8d2ea614321a7062c30ca8fbd5e9585015fbd3

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=sha256:9d932d1e864c09cd4be28934eacae335ebb8c347790c2e63928d25fadfc9e3da

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:16.001662Z digest=sha256:282993a903fced0f2adeb6617483c0e28b8d710d5a65ad4c81165b7c645eb3fc

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:ce5f41015ceaa3b59053bbee8e36bf0769fad4e073eba16fa4c8f68d9a997540

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=sha256:6f8142164b37730d33d15f4e36184512b615032ef64f0a54396f13e6b0d7dbd0

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:a897777bfc13c21d22b8cf67d4ad7ae25ab41eb0c67fec286e9fa4a842f1624a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:16.498752Z digest=sha256:bd11685c5dbe77d1c676631676ef406e8dca191fa43f226fc9a8d4b7c295fd4b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:16.558161Z digest=sha256:c06796a1b6cef3c78c65a4ecdedaf4cee8e2651634d2f6b190ad99cea9b7de74

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:16.634586Z digest=sha256:9b4e6ba7bbc1c86b0db6a50f1ff96f0d62317e98a162577d3e133b249bb7287e

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=sha256:951a717aa57b4e7af1b341209dc9031d4873918dec1ca43dc2ece1da9b99a442

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:16.794797Z digest=sha256:a8bf3bab38fe535337fa9a2bd56440ea06f10ff6cf5e973209ebc964bd650685

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=sha256:03d9ea13a6bce9fd9da6e0bf5b4cc69207b45eb354a823f00faa3a13d5ac225a

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:db97187407ec7928fdd556d3dc3cc25a63bd867094f0327479efe23c21c9fbe8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:17.073718Z digest=sha256:f4b51e2550fdf7ce260e3f87f31eb56aee9ee088de091212f1291d50d2a27410

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:17.190360Z digest=sha256:ab1914191965f4686207ca1faa315d64435b0ed4342b753c488b604f37e15799

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:17.334677Z digest=sha256:7afe0f5d20dc76c32f380238d1943e754ecef2bd09bcb325de56e0a70c459a96

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T14:31:17.442947Z digest=sha256:713dbb55c565005ce0961ed10c7bec6994e7c7846f43f94ed1328d49850e21aa

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=sha256:6443189f0d916736f04efcfebb45ef19bd1ff2c343893f913980437620e670ef

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:e7d37a5f8c5cadd8a53e75b0b2a1b4c913cc2da41c8bc9f390fb49b65fcec220

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:e1b9e6881dc473ea482572efdd88af5376e2c759a8511e182c7e760964f6d15f

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=sha256:9add56efe6f87a539ccc2df68e27e923b71bd9d5be1b2e905a3b28d35b8b479f

Pith citing papers

No inbound Pith citation observations are available.