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Paper Citation Record · LEDGER

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning

As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2502.07560.

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

pith.paper-citation-record.v1
2502.07560 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:21:25.785367Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:26:13.748695Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:26:14.120444Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact2
  • verified fuzzy32
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca627315-b710-4372-bc62-fb68514d4f49 · outbound

This paper cites Co2l: Contrastive continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Co2l: Contrastive continual learning

Reference 1

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unresolved
no resolver link, observed 2026-08-08T12:21:25.495367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.495367Z digest=sha256:18e7af4cbb293c0782f632867a86b8ac9a245186a93d2036a22a8bd7a565762f

Observation 280ac6c3-5543-4c38-b2eb-1d9fcc0b7fd9 · outbound

This paper cites Efficient lifelong learning with a-gem.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Efficient lifelong learning with a-gem

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.576791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.501112Z digest=sha256:de87a6647881d972257084d41c271ffa27d9e2a452b44d0c66f0823a100cb6d7

Observation 83a78bb8-607a-48d8-9c60-af0682a18dfa · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 3

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unresolved
no resolver link, observed 2026-08-08T12:21:25.506411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.506411Z digest=sha256:da508338fb7ea937fe4d0c025caf1c890d719df0bc5d58cc887574ab1615166e

Observation 34ed629b-2dc3-4d89-a904-7d73a0bbe5af · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

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unresolved
no resolver link, observed 2026-08-08T12:21:25.511992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.511992Z digest=sha256:66700546fc7966148e5465798df1bb634ce49e40b6809195a442f673527619e7

Observation d42a652a-beef-4e1a-8839-205c80d0d207 · outbound

This paper cites Orthogonal gradient descent for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Orthogonal gradient descent for continual learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.543010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.517226Z digest=sha256:9f8cb94bafe3871e8fd1093948073e4a44e824fccc591996fd333f0e178895e6

Observation 130a84f0-937c-49be-bd3c-c0fae6b7e406 · outbound

This paper cites Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Beyond prompt learning: Continual adapter for efficient rehearsal-free continual learning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.528383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.522334Z digest=sha256:4d9bcc562f720bf5ae298ce3df8cf96daf5acf47f600883da039ccc387dc3f83

Observation 92022ac3-544f-4f30-9786-c33cac5210f4 · outbound

This paper cites Consistent prompting for rehearsal-free continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Consistent prompting for rehearsal-free continual learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.513361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.527933Z digest=sha256:e8a5b5608194774ccedcc0a06827f68976704b3e2b66ee324ebed1f9a83f57f6

Observation c26fa591-9138-4131-89df-cacbb949044a · outbound

This paper cites D., Twardowski, B., and van de Weijer, J.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning D., Twardowski, B., and van de Weijer, J

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.497394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.533026Z digest=sha256:58091f47ee27454dce07cda307ec107879bebe3372183aa7285eeba07d9aea56

Observation fcc5629b-8482-4a8c-9828-4a9b7e1efdd4 · outbound

This paper cites Resurrecting old classes with new data for exemplar-free continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Resurrecting old classes with new data for exemplar-free continual learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.482663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.538096Z digest=sha256:a8d50df386c175421aad1ee507f9fa9efe2361d186e580ad1d7db07005ec46cd

Observation 307a135a-5c99-467c-a51c-5999c61b838b · outbound

This paper cites Rethinking imagenet pre-training.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Rethinking imagenet pre-training

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.468341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.542956Z digest=sha256:163c5168daf6a82f12d94f98766b628ca873c97990bdb8606355b417d5653d9f

Observation 3d58c868-b2ab-46c0-b686-070ad5454247 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.453710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.547881Z digest=sha256:c3f8baa4526df3d8746dcb2da15c83c980d1b837cf20ba990427e02254e87fa5

Observation 5ab4375d-d18c-4b47-abf5-5dd8e05fa49f · outbound

This paper cites Natural adversarial examples.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Natural adversarial examples

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.439034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.553040Z digest=sha256:855fabce7c2a1a0cc3b128f0b37ad4c357c5b10c00c467e77f18230e03d49388

Observation ffeadb3e-a7ad-4352-87b6-cbb0d83e73c7 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Parameter-efficient transfer learning for nlp

Reference 13

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unresolved
no resolver link, observed 2026-08-08T12:21:25.557930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.557930Z digest=sha256:883f8101cdfaf83bed12839a7ed39149280efadabc027af3070ee06e3613ce04

Observation 5fda4088-ecf2-4233-8700-bf5af3ed909b · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.415390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.562755Z digest=sha256:49230934f6ecfea45c9ecbe93e2c0101c1e75e97f3db85992786ecd6e9e1177f

Observation 55df1018-aa31-4861-b926-65c566ebb95b · outbound

This paper cites OVOR : Oneprompt with virtual outlier regularization for rehearsal-free class-incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning OVOR : Oneprompt with virtual outlier regularization for rehearsal-free class-incremental learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.400535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.567616Z digest=sha256:90089b865279f04dacfa06746db58e84f7cc932da84ddad65a71cbe6b57f1b97

Observation b4e08a35-7093-4a5e-8189-e7942524c1cb · outbound

This paper cites Visual prompt tuning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Visual prompt tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.572458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.572458Z digest=sha256:7d9f957472cb3f015bbbb5d7b6936e0ca6cf760b20bd47a4a1accb628b620ccc

Observation 4e51319e-e389-406c-86ee-05b94321ffcb · outbound

This paper cites Vector quantization prompting for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Vector quantization prompting for continual learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.376453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.577008Z digest=sha256:37cacdf9318319a96d637a9768b00885d888e3c09ba01293053a5f83363ee094

Observation 45b6d2d7-c10d-4f9e-9532-b379fc441bda · outbound

This paper cites One-stage prompt-based continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning One-stage prompt-based continual learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.361989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.581727Z digest=sha256:ea58d37442776bb012371f4118eee5156408dcc81a64a6d29f5a73b96dc6c8ad

Observation eda73f1a-f42c-423c-bfb8-3bf7132ecfc8 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 19

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no resolver link, observed 2026-08-08T12:21:25.586629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.586629Z digest=sha256:a17cdd9f2c52c4d6bae383f6db5732c84dce51c9c70aa8ededcf64f940657057

Observation 139f9e00-1b76-442b-a661-f2e3274d8217 · outbound

This paper cites Learning multiple layers of features from tiny images.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Learning multiple layers of features from tiny images

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.338236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.591737Z digest=sha256:db15065b6fe0b9b0b415bacd039626611fbad2d8786934393f877bd33f13650e

Observation db62e286-e840-428e-bdcb-c3bbbe64affd · outbound

This paper cites R., Song, X., Ma, Z., He, Y., Gong, Y., Qi, Y., and Wei, X.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning R., Song, X., Ma, Z., He, Y., Gong, Y., Qi, Y., and Wei, X

Reference 21

Resolution
verified exact
doi, observed 2026-08-08T12:21:25.834128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.596736Z digest=sha256:37a9f83c26cd7bc91e7c3a5547c7b54e678db95167a18601acc37ac60a8cc25e

Observation 95226099-b3b7-452a-8431-fa3d903eea2a · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning The power of scale for parameter-efficient prompt tuning

Reference 22

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no resolver link, observed 2026-08-08T12:21:25.601631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.601631Z digest=sha256:64fa5a7902fe69201c14057a9c5d7f5d0470b9c3a8634b8431e499db34d16086

Observation 5ae6e8c2-49de-4f48-a8e9-2d941652cbc9 · outbound

This paper cites Dynamic Integration of Task-Specific Adapters for Class Incremental Learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Dynamic Integration of Task-Specific Adapters for Class Incremental Learning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-08T12:21:25.870884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.606423Z digest=sha256:03fab959c4d0de9c3d2aca7d594c808a55974e9efa3b69ce45f3ea178d973dc4

Observation 37ca86bf-ad29-4338-8f82-746042000c24 · outbound

This paper cites and Hoiem, D.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning and Hoiem, D

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.611565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.611565Z digest=sha256:ab0a9fd7bf535e4141e443f3cf239d5d5df617bd2dffa2f7dc5bac5c39f0b426

Observation 3b9e6d0b-0941-49ad-b8eb-f336db27c536 · outbound

This paper cites and Li, W.-J.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning and Li, W.-J

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.616112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.616112Z digest=sha256:05043693b81dcbd038459b8dd9e59ee88c17e8429b52ab7704f8dee9cbdb8cc8

Observation 9e47b6ef-7758-46f8-a924-a71c46bf18c8 · outbound

This paper cites Rmm: Reinforced memory management for class-incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Rmm: Reinforced memory management for class-incremental learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.306029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.620905Z digest=sha256:2c76cb3281c79b68ffc8240e9f46bd6667d9ee59c5e8b76124352da96085f201

Observation c3824bfd-3655-4ee1-afce-c1bd7ef8c682 · outbound

This paper cites and Ranzato, M.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning and Ranzato, M

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.625711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.625711Z digest=sha256:045b82aa512948d6c39bc7a105def0fc9b2e777e7e97d7770ef6b6f0cd64dd9d

Observation 6ebad157-3351-47f4-a23d-9edaebe73e84 · outbound

This paper cites Visual prompt tuning in null space for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Visual prompt tuning in null space for continual learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.282193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.630887Z digest=sha256:c0d00f9094f11f9eb6789022f0d5f4e4a295d29a66dd582f19503869214579fa

Observation 2f73b2cb-ca6c-4372-b30a-b2c82ad9a921 · outbound

This paper cites an unresolved cited work.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:21:26.267928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.635935Z digest=sha256:a81576d77ba60496c1983b3465d087cfa2bd6be1257cc4ac4222e859825413e5

Observation e5d10ebd-570e-4884-9ad1-42d4a7f564d6 · outbound

This paper cites Ran PAC : Random projections and pre-trained models for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Ran PAC : Random projections and pre-trained models for continual learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.253633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.640987Z digest=sha256:bd61793aa12b9f9d2dc41f3d7af0ef6127168134d2b1aa617946850bf8b7d035

Observation 455c24bc-81a2-4297-a6fa-fcf24ee51b89 · outbound

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

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning I., Kemker, R., Part, J

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.646003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.646003Z digest=sha256:016ec917c4858b16a536e2516dbb246c753eb87293f7110c724191837724a9fb

Observation 3e4ec602-6aad-4202-aaea-a7ecb3f9bb03 · outbound

This paper cites an unresolved cited work.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-08T12:21:26.229730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.650921Z digest=sha256:57b04b9e347f7f985e8a1bd173471d1c2a6582cebab6ad6307850d76c1c415cd

Observation 353f3ba0-82d3-416e-8c2f-bef10556160c · outbound

This paper cites Dualnet: Continual learning, fast and slow.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Dualnet: Continual learning, fast and slow

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.214815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.656997Z digest=sha256:5cbff33846c76feeb9ebcb040c05a9222bdfced46876f6c4180c2b03f6d89f61

Observation 7f6554fc-5aa3-455a-97b2-0b9d4eddba40 · outbound

This paper cites an unresolved cited work.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-08T12:21:25.661846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.661846Z digest=sha256:1571e68d040974f287565a16840ebab9beb62f97ff54dda88a95a21c70e3bb55

Observation cd5e1155-38bf-4f5a-bfa3-f5b1623d1cfe · outbound

This paper cites Learning to learn without forgetting by maximizing transfer and minimizing interference.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Learning to learn without forgetting by maximizing transfer and minimizing interference

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.191293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.666606Z digest=sha256:104f01553758bb6774493e0114ba194db734c940d18b51ccc31b2f28694d7bc1

Observation c0320655-3168-4e03-bbc1-40aee35c8c97 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Imagenet large scale visual recognition challenge

Reference 36

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no resolver link, observed 2026-08-08T12:21:25.671402Z

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source=arxiv_source observed=2026-08-08T12:21:25.671402Z digest=sha256:2097c7c5980bcd2e272b8ab6fefe2f25b3d2c7e5a52194022bfbc8cddbf16249

Observation 7ef94deb-ee3c-4c11-8966-7342959a3b47 · outbound

This paper cites Gradient projection memory for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Gradient projection memory for continual learning

Reference 37

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source=arxiv_source observed=2026-08-08T12:21:25.676388Z digest=sha256:097d2f946c2b50c8a48695d586eebb754c88c68ff4c2367da495fc11ab5c919d

Observation b9f39d12-dd19-4f6d-ae14-e82483148bcb · outbound

This paper cites K., Kim, J., and Kim, J.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning K., Kim, J., and Kim, J

Reference 38

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no resolver link, observed 2026-08-08T12:21:25.681108Z

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source=arxiv_source observed=2026-08-08T12:21:25.681108Z digest=sha256:8af757d2a05ca9160978a519e75acd699bbb917eaf66e28ec98ff6dfb3b82b47

Observation d763db15-4ff7-4662-a4c8-b91098b69228 · outbound

This paper cites S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning S., Karlinsky, L., Gutta, V., Cascante-Bonilla, P., Kim, D., Arbelle, A., Panda, R., Feris, R., and Kira, Z

Reference 39

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no resolver link, observed 2026-08-08T12:21:25.685770Z

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source=arxiv_source observed=2026-08-08T12:21:25.685770Z digest=sha256:bd6e9d9a9307714cd1a3ea27ba58bef92fcd85241922fafbcf360cc830c58503

Observation dabfc964-a877-4d71-af47-7ffd13154b73 · outbound

This paper cites Mos: Model surgery for pre-trained model-based class-incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Mos: Model surgery for pre-trained model-based class-incremental learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.139682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.690419Z digest=sha256:783e3ab1a93631b99484f88e9449b38ad48425e811896afb30dc2bab7f1092bf

Observation dc6ec1ae-6ee1-4dd0-a259-0270d1cc1bba · outbound

This paper cites Semantically-shifted incremental adapter-tuning is a continual vitransformer.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Semantically-shifted incremental adapter-tuning is a continual vitransformer

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.124869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.695254Z digest=sha256:b8a1c687f72d340985da3c8afb4a3b2e2b1e687567646de79d08362b89e46442

Observation 4368fe26-1d4f-45ae-b419-9115728e14be · outbound

This paper cites Hydralora: An asymmetric lora architecture for efficient fine-tuning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Hydralora: An asymmetric lora architecture for efficient fine-tuning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.110593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.700217Z digest=sha256:9d026cc3b706d28236d15117842a5ae83d94d212e6fb34ce0a46a121e3d134eb

Observation 8a137cdb-4dc5-4fa0-861b-78b96773bc44 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning The caltech-ucsd birds-200-2011 dataset

Reference 43

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source=arxiv_source observed=2026-08-08T12:21:25.704930Z digest=sha256:1b802923f414c52ad0c5f62068b6834485943a59bbe76a294397a8065fbe8dd3

Observation c49765b3-27d0-4925-8e6e-81c38d2cd921 · outbound

This paper cites Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.086351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.709894Z digest=sha256:ec933c6d1e4f7efc72a446c0689358f797cdce6775d06347c8cdb812960b7c8c

Observation 27905dde-1563-4f7d-a5d5-3ed27d63372b · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning A comprehensive survey of continual learning: theory, method and application

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.071137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.714721Z digest=sha256:c8e5ad646ac71c7bc689b060f87223994a118fe9a3ce69850171d2351c675bc3

Observation 31af9d58-1152-4e3f-bb5b-5913d1aa9856 · outbound

This paper cites Training networks in null space of feature covariance for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Training networks in null space of feature covariance for continual learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.055792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.719310Z digest=sha256:f9d155cc881bafb10a5b8c7106364ec030c2fe9d15c72288ca0b834d847a84ce

Observation d96596a2-5765-47f0-ae89-65884eea3d63 · outbound

This paper cites S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning S-prompts learning with pre-trained transformers: An occam’s razor for domain incremental learning

Reference 47

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no resolver link, observed 2026-08-08T12:21:25.724083Z

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source=arxiv_source observed=2026-08-08T12:21:25.724083Z digest=sha256:976173813646b8a36c00de37b7b39fcb2f3d88f7dbc18c06443c56e512894b0b

Observation 10fa2750-2705-4e42-bfcf-cbb8ee2204fa · outbound

This paper cites Improving knowledge distillation via regularizing feature direction and norm.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Improving knowledge distillation via regularizing feature direction and norm

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:26.030622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.728923Z digest=sha256:eed954795a1abbf21623cf4a378a76e8c6ca25a95de18e9dfa98d51608c2017d

Observation a9c499ed-def6-427e-a132-34daf2839bf8 · outbound

This paper cites Revisiting the Power of Prompt for Visual Tuning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Revisiting the Power of Prompt for Visual Tuning

Reference 49

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source=arxiv_source observed=2026-08-08T12:21:25.733578Z digest=sha256:81325aa72d2f387eb476dc82a0915b2cb7d5c1b6e8a3aed672c2c9d3a37c6c94

Observation f5082b05-6401-4a6c-abf6-5e1eb7045c6e · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 50

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source=arxiv_source observed=2026-08-08T12:21:25.738666Z digest=sha256:1a957ef18a0e1b9da43d8a16ab52bb7403e0f821ca59f4d0a8169128b267650e

Observation 04365f0e-9860-44f6-8ca0-a92e932454c7 · outbound

This paper cites Learning to prompt for continual learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Learning to prompt for continual learning

Reference 51

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no resolver link, observed 2026-08-08T12:21:25.743323Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-08T12:21:25.743323Z digest=sha256:876b1488b86e079b0e143eb9da97dbe66ea7f09e46da4e4e091e915171e8792a

Observation e010fa96-9118-4f43-9db5-a35e0d15e83d · outbound

This paper cites Optimizing mode connectivity for class incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Optimizing mode connectivity for class incremental learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.996795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.748545Z digest=sha256:f414e62a992f523c0221b2bfeff0bec67be834b4cf197e69ed0fa06a62070a0e

Observation 0e884e10-9a89-4bf5-b851-e6b5e013a4fc · outbound

This paper cites an unresolved cited work.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Unresolved cited work

Reference 53

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.753247Z digest=sha256:7eefa19d05f67e9bd9f9a47eb4082e0f36a7a7226bd33105db2d15e7002838a2

Observation c9734ff8-d27e-4207-8871-f8d5e6795948 · outbound

This paper cites Continual learning through synaptic intelligence.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Continual learning through synaptic intelligence

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.967404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.757937Z digest=sha256:2822df0a09a65ed68c790facf104babcf221e28ce0bd4c03ac9cbbab9e2948d2

Observation 8b2c767a-ab24-4a1b-9eca-a4685f929629 · outbound

This paper cites Fine-grained knowledge selection and restoration for non-exemplar class incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Fine-grained knowledge selection and restoration for non-exemplar class incremental learning

Reference 55

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unresolved
no resolver link, observed 2026-08-08T12:21:25.762447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.762447Z digest=sha256:25b6689468f3e0c42ed5357cccf45f304fc635c29bca97d88aca7668250a0259

Observation 841f7537-e4de-4775-8042-7b2ef6b1a253 · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre-trained model.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Slca: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.941934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.766964Z digest=sha256:dcedfea573612798f1f2202d31db530fe2f5de902935adfd3bc24e20dedb517f

Observation e958a50a-8a8d-46ff-b0ab-c558a30a1b20 · outbound

This paper cites Continual learning with pre-trained models: A survey.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Continual learning with pre-trained models: A survey

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.926568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.771562Z digest=sha256:904dc7d96a44ca230131a44971a7ea2c2dfee9899185d9d9b88f048ede5ae900

Observation b8ee152f-6091-40f8-8a56-5502be28cdf4 · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.911236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.775867Z digest=sha256:f2c90c5638ab8ca4958f69e330db2d107451e5554badef73871f0af14133d42d

Observation 595ceaff-13d5-4d8e-8e48-e3a478d5b846 · outbound

This paper cites Prototype augmentation and self-supervision for incremental learning.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Prototype augmentation and self-supervision for incremental learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:21:25.896127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T12:21:25.780459Z digest=sha256:41a5fda628691d0e4e34ed860456953c5b523cf1e38cdc022a8448acc1f00b91

Observation f6abcf1f-97f8-4667-babf-5e1622435c4d · outbound

This paper cites write newline.

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning write newline

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-08T12:21:25.785367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:21:25.785367Z digest=sha256:26517921ff378916097cca7aa0b0b9e00aa1bdc49182f411700a04a2c052e60f

Pith citing papers

Observation a4fbffae-b71b-463c-99a2-76741c84795f · inbound

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation cites this paper.

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:26:14.125247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:26:13.748695Z digest=sha256:392880b375f99cc4bb4f90e3176ec7196228d04b899b058292331f466d0be9f4