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Paper Citation Record · LEDGER

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning

As of 9 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 2 inbound Pith citation observations for arXiv:2507.09471.

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

pith.paper-citation-record.v1
2507.09471 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:00:20.685475Z

measured 80 of 80 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:23:10.477286Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

  • verified exact6
  • verified fuzzy42
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb57d1de-9975-4814-b192-851b3bd01e00 · outbound

This paper cites icarl: Incremental classifier and representation learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning icarl: Incremental classifier and representation learning,

Reference 1

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Observation a023e71a-fea0-4dc4-ae0e-7dc03d092c1c · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Semantically- shifted incremental adapter-tuning is a continual vitransformer,

Reference 2

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Observation b0d0593a-b90c-4aea-8a04-def94bde6daa · outbound

This paper cites Visual Prompt Tuning in Null Space for Continual Learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Visual Prompt Tuning in Null Space for Continual Learning

Reference 3

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local_arxiv, observed 2026-08-06T18:00:20.949955Z

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Observation 0fe7316a-91ef-4da3-9e09-cd8796966419 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Overcoming catastrophic forgetting in neural networks,

Reference 4

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source=pdf_text observed=2026-08-06T18:00:19.836124Z digest=sha256:e55b0ba574e24850046d50fefc28f6e94983006d9ad4280806131a7bd802dc6d

Observation 1401d9c3-c04a-4008-9ce7-703329f4479c · outbound

This paper cites Learning without forgetting,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Learning without forgetting,

Reference 5

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source=pdf_text observed=2026-08-06T18:00:19.973800Z digest=sha256:a00929dba16626d57a7136a0119d072b7a761ab08faf6c90c86ac97a7d250472

Observation a3b11118-72f9-4b81-8ed2-0290d83b1a7b · outbound

This paper cites Overcoming catastrophic forgetting by incremental moment matching,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Overcoming catastrophic forgetting by incremental moment matching,

Reference 6

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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.

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Observation 88a5730c-3b32-4941-bb95-bff3c6be9c26 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Catastrophic interference in connec- tionist networks: The sequential learning problem,

Reference 7

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source=pdf_text observed=2026-08-06T18:00:20.278760Z digest=sha256:21f1189c6f81683c96f848571d503bbffea01b629c6d536cef9bddb03032ed26

Observation ad107e93-c55f-47b4-ae95-c94b2c9865d7 · outbound

This paper cites On the importance of cross-task features for class-incremental learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning On the importance of cross-task features for class-incremental learning

Reference 8

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Observation 9fbeada2-2852-4adf-b756-2235677526a5 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning A comprehensive survey of continual learning: theory, method and application,

Reference 9

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source=pdf_text observed=2026-08-06T18:00:20.459047Z digest=sha256:2cf4bea92cda6178cadebfb66bf3644b0c90a7cae09fb66f85f70957d54bdeac

Observation 025780a5-e889-488b-b6c4-9585a7275619 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Dark experience for general continual learning: a strong, simple baseline,

Reference 10

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source=pdf_text observed=2026-08-06T18:00:20.462558Z digest=sha256:8a6f4decca93b956451dbb1596f8aaa62c3ad3c7c6fb152c63e6a9e2fd6d628d

Observation c991a21c-09d8-4dbc-b94b-48280b953e7b · outbound

This paper cites Class-incremental learning: survey and performance evaluation on image classification,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Class-incremental learning: survey and performance evaluation on image classification,

Reference 11

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source=pdf_text observed=2026-08-06T18:00:20.466097Z digest=sha256:516af4666232f7a19ee499769b616199460461bafd8fb91aa833df1f543a98a4

Observation 5132cfd4-83c8-4197-b184-d7e05936aab0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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source=pdf_text observed=2026-08-06T18:00:20.469338Z digest=sha256:c14a697b611ab506eafe57842bfc24281b6cb43bd96755cf1d9da49e18a64f76

Observation cbc180a3-e9cf-49c1-80e8-5ee9a1ac1790 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recogni- tion,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Adaptformer: Adapting vision transformers for scalable visual recogni- tion,

Reference 13

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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.

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Observation 3f5c1bd4-ea57-4d55-91ba-78284bf344c8 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning The power of scale for parameter-efficient prompt tuning,

Reference 14

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source=pdf_text observed=2026-08-06T18:00:20.476095Z digest=sha256:e1a9554371f575743ad5b1eaf3cf897d31cb06e8e2a60ba03bb18e87acd3a13e

Observation 828793d4-83be-43a3-be29-39ce4c4658d9 · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Scaling & shifting your features: A new baseline for efficient model tuning,

Reference 15

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Observation 6db227bf-72ae-4660-89f5-720b79f915db · outbound

This paper cites Learning to prompt for continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Learning to prompt for continual learning,

Reference 16

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Observation 7e8d8df7-fcf8-4a59-b44b-10cd3815a2b6 · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Inflora: Interference-free low-rank adaptation for continual learning,

Reference 17

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Observation f26a3dbe-49e8-4a14-9e5e-3e1db638417b · outbound

This paper cites Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

Reference 18

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

source=pdf_text observed=2026-08-06T18:00:20.488455Z digest=sha256:dbb27b1f4ee2d403397d8a665b461eb36d6c2bfc5e8714636dd1079aef4bdec7

Observation 436726e0-afce-41c3-882f-a816532a0d33 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Dualprompt: Complementary prompting for rehearsal-free continual learning,

Reference 19

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source=pdf_text observed=2026-08-06T18:00:20.492092Z digest=sha256:41ae146c137c457a5e44d1937cc84236fd202629083fc5aa3b8085ec7a529aec

Observation 6b86fc41-fbad-409d-b921-b570b1c6de3f · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning,

Reference 20

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Observation 132bd5e4-86ec-439c-b188-e556461cbbdf · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning,

Reference 21

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

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Observation 3d670f67-122b-4a1f-9057-e296d9406e96 · outbound

This paper cites Class-incremental unsupervised domain adaptation via pseudo-label distillation,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Class-incremental unsupervised domain adaptation via pseudo-label distillation,

Reference 22

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Observation b6bab81f-92b2-4e44-b7ad-6887a12bd654 · outbound

This paper cites On the effectiveness of lipschitz-driven rehearsal in continual learn- ing,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning On the effectiveness of lipschitz-driven rehearsal in continual learn- ing,

Reference 23

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Observation f0cdd97c-1f94-4f4f-b93d-90f809e7ccb2 · outbound

This paper cites Online continual learning with maximal interfered retrieval,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Online continual learning with maximal interfered retrieval,

Reference 24

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

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Observation f168bca6-e424-4435-9393-707997f80943 · outbound

This paper cites Gradient based sample IEEE TRANSACTIONS ON IMAGE PROCESSING 12 selection for online continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Gradient based sample IEEE TRANSACTIONS ON IMAGE PROCESSING 12 selection for online continual learning,

Reference 25

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

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Observation f2b0b540-7ef9-46ce-9442-9023d3d58fdb · outbound

This paper cites Balanced destruction- reconstruction dynamics for memory-replay class incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Balanced destruction- reconstruction dynamics for memory-replay class incremental learning,

Reference 26

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

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Observation b8f750bb-e0ac-4164-9b30-731ca2b41761 · outbound

This paper cites Continual learning with node- importance based adaptive group sparse regularization,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Continual learning with node- importance based adaptive group sparse regularization,

Reference 27

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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.

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Observation e3a18d52-e229-423a-b434-ca303e47b414 · outbound

This paper cites Continual learning through synaptic intelligence,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Continual learning through synaptic intelligence,

Reference 28

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

source=pdf_text observed=2026-08-06T18:00:20.520672Z digest=sha256:7e1d7e1ae0ae7bf32be585ce3bf8ca942e12ed61b427cd9d7547dd36a7c34f7d

Observation 02b86db3-6ef5-41a4-8615-3e2645d62e2e · outbound

This paper cites Pamk: Prototype augmented multi-teacher knowledge transfer network for continual zero-shot learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Pamk: Prototype augmented multi-teacher knowledge transfer network for continual zero-shot learning,

Reference 29

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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.

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Observation 96fee797-bea8-482f-a38d-0f298ed4fbe3 · outbound

This paper cites Geodesic-aligned gradient projection for continual task learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Geodesic-aligned gradient projection for continual task learning,

Reference 30

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

source=pdf_text observed=2026-08-06T18:00:20.527585Z digest=sha256:f0b550807e32736adf0e224b9c33455e4c700bfd3038d1f406ac338748225844

Observation f7cacb03-5faa-4b63-89c1-00c0c4e03cbe · outbound

This paper cites Compacting, picking and growing for unforgetting continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Compacting, picking and growing for unforgetting continual learning,

Reference 31

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raw_fallback, observed 2026-08-06T18:00:21.279032Z

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=2026-08-06T18:00:20.530550Z digest=sha256:7fa7d5cc63bb9c9929dc0c8ceaa51d1a663a8e8add80554507949a3660bb7689

Observation 0bd1afd8-1358-4bfc-af0d-cc4da536f8fa · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting,

Reference 32

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raw_fallback, observed 2026-08-06T18:00:21.270722Z

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=2026-08-06T18:00:20.533560Z digest=sha256:ed54d9cdd3070275206df58bf0a6b64650db838f14cecc80744698759885d9a6

Observation 9bfd2bec-fc81-4a06-973d-34a45f5787e7 · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Der: Dynamically expandable representation for class incremental learning,

Reference 33

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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=pdf_text observed=2026-08-06T18:00:20.536453Z digest=sha256:f5c029b2c7ec77ec3013ac727b3d2c21f354e48271066ec6ad349cf7fb4ddb38

Observation 665205dc-575d-4ba6-86c0-51ccdeb32962 · outbound

This paper cites Model attention expansion for few-shot class-incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Model attention expansion for few-shot class-incremental learning,

Reference 34

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raw_fallback, observed 2026-08-06T18:00:21.250915Z

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=2026-08-06T18:00:20.539607Z digest=sha256:6de75a4fe78b30a6da4dd0793d8580be6a7f2c386abb26d132cda3b58e6840a9

Observation 9a059658-deac-4c5e-851a-4b3d5f0e0118 · outbound

This paper cites Memory efficient continual learning with transformers,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Memory efficient continual learning with transformers,

Reference 35

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raw_fallback, observed 2026-08-06T18:00:21.235894Z

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=2026-08-06T18:00:20.542743Z digest=sha256:178004f1f9e938357b8772a141e83106ef6f5f480d17aa408db460c36e553aad

Observation 06eb12d8-c336-4b59-bd34-5584a031f6b3 · outbound

This paper cites EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:00:20.907354Z

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=2026-08-06T18:00:20.545676Z digest=sha256:4913b239f16b2e62d432cb3a659ae824e0518d4804571cfee1e6cd061280b549

Observation b2aaefc1-8fc1-41bf-9f4f-f2aaab1ee43a · outbound

This paper cites Stpr: Spatiotemporal preservation and routing for exemplar-free video class-incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Stpr: Spatiotemporal preservation and routing for exemplar-free video class-incremental learning,

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-06T18:00:20.894867Z

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=2026-08-06T18:00:20.549368Z digest=sha256:dec37e71a9e51b8c885c56ca5723db9ad52484c4732f3a6c3a290d397cde5bc9

Observation 59f49a11-c205-41f3-9828-56b3021ff082 · outbound

This paper cites Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.552546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.552546Z digest=sha256:320925e205c7221e97915f905925e1a2e657b48ea71f4bb8e59d5ed8e55f2a5b

Observation 8b723059-1cca-4b1f-9753-1c38537d508e · outbound

This paper cites Transfer without for- getting,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Transfer without for- getting,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.226337Z

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=2026-08-06T18:00:20.555790Z digest=sha256:0e491e1b8f0af7bdb090820ab4f3bee59011c700cadce7f0690bd66814dde451

Observation 3aa2d8bb-a3e4-4b05-8f99-d8bd8b30f263 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Slca: Slow learner with classifier alignment for continual learning on a pre-trained model,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.216101Z

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=2026-08-06T18:00:20.559690Z digest=sha256:06683156bdc1a9f8c778335548475bedca7a942c5d791f22be766444d44727ef

Observation 58278e56-2d18-4358-91d6-abb716810e28 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Consistent prompting for rehearsal- free continual learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.206837Z

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=2026-08-06T18:00:20.563107Z digest=sha256:4ef6b02d7f701e18ebba90851056b2accbc2d674e3c214be7a3779e81fa2d9c3

Observation 4f7e2bb3-e76a-4742-8361-a74caa71874f · outbound

This paper cites Prompt gradient projection for continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Prompt gradient projection for continual learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.197375Z

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=2026-08-06T18:00:20.565942Z digest=sha256:15ba5501b79947584dae11915a57a7492b290f9f55cb713741fcb8effb2b6502

Observation c0367bc6-71e5-41d0-8c84-4b170eb6c9a8 · outbound

This paper cites Parameter-efficient transfer learning for nlp,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Parameter-efficient transfer learning for nlp,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.569355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.569355Z digest=sha256:ec8de105ed96e6d7df0b1b6db187f5367f396b3cf1ee10a780f7672efe5e2362

Observation de4e722c-c38f-42bf-8ad9-0810bd04fb61 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Prefix-tuning: Optimizing continuous prompts for generation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.182499Z

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=2026-08-06T18:00:20.572195Z digest=sha256:295f2210fdb4db7128fa46a27aa154dc808cfa4826d9740a9a719bb4d344174c

Observation 3350b597-3594-4aaf-bf62-a81c001febcd · outbound

This paper cites Visual prompt tuning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Visual prompt tuning,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.575530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.575530Z digest=sha256:c08b8b24d378bb2a01cedb9d5fab20b4018ec75f04ef0f1ac5fc0d1c920dba3b

Observation 503f9d25-4cdf-49e7-9d50-33389c4c8f95 · outbound

This paper cites Disentangled prompt representation for domain generalization,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Disentangled prompt representation for domain generalization,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.167457Z

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=2026-08-06T18:00:20.578200Z digest=sha256:8b9432c3d54a4b46452748fed35bc9287e1cbe958cfb5150ac8d09d0abfccdb9

Observation a1ddbc63-aa3e-44e6-97ab-7dd0f5011ae6 · outbound

This paper cites Adversarial domain prompt tuning and generation for single domain generalization,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Adversarial domain prompt tuning and generation for single domain generalization,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.158010Z

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=2026-08-06T18:00:20.581260Z digest=sha256:762715c3730e409539a45fe6d3e9a64a7a7c151d34ec287ff71c4d2ef92d31a2

Observation 48c67155-756b-4b4d-a6b1-dc16ae6b11f3 · outbound

This paper cites Learning domain invariant prompt for vision-language models,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Learning domain invariant prompt for vision-language models,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.148851Z

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=2026-08-06T18:00:20.584340Z digest=sha256:2fb8c68e1d2ce901f8c7f100b0619dad68bf31fd914fae6b6bb3b3eec2b1c539

Observation 68655a66-1294-4eae-bdd1-850baba67f1b · outbound

This paper cites Adapting vision-language models via learning to inject knowledge,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Adapting vision-language models via learning to inject knowledge,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.140185Z

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=2026-08-06T18:00:20.588282Z digest=sha256:0ed8ababe99b2160f724cfef0f76a7771115f3ebae0259268578b196cd1cf66a

Observation 683f64c5-eeb6-4163-81db-07a074f8252a · outbound

This paper cites Adaptive mixtures of local experts,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Adaptive mixtures of local experts,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.591491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.591491Z digest=sha256:98efaa58c9bcebaa77ff78b5178f5a8590faaa2019f35f2c91fb116ac074197b

Observation 94f81bdb-7fbe-4f48-932a-3968714329fc · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.594541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.594541Z digest=sha256:fb491606e88d90c9c4796dade0d0e55fb459b35b2b942576976233b7ea4f8e5e

Observation 538e16bb-c5fc-40f4-8fa5-72fc893b689e · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Training networks in null space of feature covariance for continual learning,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.125270Z

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=2026-08-06T18:00:20.597435Z digest=sha256:120082345ac68fac263db418abfdcabfe086149a495cff81429502809f3c55bc

Observation eb60f1f6-d6ab-432a-8a8a-73a843f72a97 · outbound

This paper cites A unified continual learning framework with general parameter-efficient tuning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning A unified continual learning framework with general parameter-efficient tuning,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.116292Z

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=2026-08-06T18:00:20.601120Z digest=sha256:ce7574a5172c925367f2b5411611696838e9845b1a46572a0f0998865f37d2ed

Observation f603701a-b42b-446d-8d38-b4925e2f3e46 · outbound

This paper cites Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Revisiting class-incremental learning with pre-trained models: Generalizability and adaptivity are all you need,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.106186Z

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=2026-08-06T18:00:20.604233Z digest=sha256:7cdec5e1c81ae3920f9c588106dd82d3f86375d8d9ce1e7552517d32d6f708af

Observation ea949f9a-9421-470f-a83e-d39380381142 · outbound

This paper cites Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:00:20.758617Z

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=2026-08-06T18:00:20.608028Z digest=sha256:67a3379c1e617cc30ef13e20fa2ada5fa293abbf4d38afeec5c6d09c0fa18c48

Observation 10548cbe-a526-48c5-9a4c-83a2d9105ed4 · outbound

This paper cites Vector Quantization Prompting for Continual Learning.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Vector Quantization Prompting for Continual Learning

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:00:20.745455Z

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=2026-08-06T18:00:20.611313Z digest=sha256:2d63e86756d1c556a13ff9bab10f9c333e5c770a4eb8b9880618785b07aabc2b

Observation ad1f79df-506c-44fb-b5f3-ff2e3f405716 · outbound

This paper cites Dynamic integration of task-specific adapters for class incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Dynamic integration of task-specific adapters for class incremental learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.097571Z

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=2026-08-06T18:00:20.615339Z digest=sha256:8940edf403f60d55db0ee9753ebf45fe1360ee565ccfe633b21c423c99fd8f1a

Observation 20f9ca7c-e152-406f-b85b-f4bea537ccd5 · outbound

This paper cites Adapter merging with centroid prototype mapping for scalable class-incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Adapter merging with centroid prototype mapping for scalable class-incremental learning,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.618236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.618236Z digest=sha256:58b38fdfafec0c68b8db9eec3a84dc1612b359d598ae68d6c5cfe7149aa97327

Observation 5ac12892-c13f-4792-b60d-96cc4a4fd09d · outbound

This paper cites Self-expansion of pre-trained models with mixture of adapters for continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Self-expansion of pre-trained models with mixture of adapters for continual learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.083371Z

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=2026-08-06T18:00:20.621299Z digest=sha256:773446e8a31a598d9a0e5d4150366bb4dac822a29fe48c7f83b850087b4ae20f

Observation eec83e78-4fd2-471b-9b22-f17b6c4a529e · outbound

This paper cites Lora subtraction for drift-resistant space in exemplar-free continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Lora subtraction for drift-resistant space in exemplar-free continual learning,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.624313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.624313Z digest=sha256:d68d912f7e8353a270bc1150a5e15dc7d8dc4e1af2fa2906cc5ecb56f224e71e

Observation 6ab36ab1-b5f1-4c15-bfc2-057660871d2f · outbound

This paper cites Cl-lora: Continual low-rank adaptation for rehearsal-free class-incremental learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Cl-lora: Continual low-rank adaptation for rehearsal-free class-incremental learning,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.069100Z

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=2026-08-06T18:00:20.628298Z digest=sha256:2e842d50ee9c2301c12ff381b8e54076e1cfb13ff142dc7e9d9c91573e98ea33

Observation fd3aff02-26bb-4eaf-a574-295acc17943d · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning OVOR: Oneprompt with virtual outlier regularization for rehearsal-free class-incremental learning,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.059734Z

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=2026-08-06T18:00:20.632338Z digest=sha256:58b5fe3fbad3c31c700659b41a0105ad6f5790ad0fdcce457ef0d0c5cb792fe9

Observation 97376b10-c7ee-495b-b7a6-4bdc9fdc04a0 · outbound

This paper cites Convolutional prompting meets language models for continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Convolutional prompting meets language models for continual learning,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.050276Z

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=2026-08-06T18:00:20.635933Z digest=sha256:e5d9c136d56b71a446fa0cab85c517d782adf5c03cb1bd7ef0f525e8ff76b4f3

Observation 9d782eb4-bf89-4e2c-a7c1-1f081ae7ab6d · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.040374Z

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=2026-08-06T18:00:20.639807Z digest=sha256:f3f546586bab8d12c79a0a8aa8d3fef630fd336fb844e3485b25fe2f2033c4cb

Observation 6f94a993-6c31-431b-b359-51054616b845 · outbound

This paper cites Natural adversarial examples,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Natural adversarial examples,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.031598Z

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=2026-08-06T18:00:20.642887Z digest=sha256:a804f328e2700c9d97918209c48d92a7ecac94d13a084e3457961b50e7f59110

Observation 489a70dd-f546-4818-b48d-b001c781e579 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Learning multiple layers of features from tiny images,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.646499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.646499Z digest=sha256:9fa382692dbc02616ec7daee9a7c1dfaa87ab1c3bb40d546bb25608493a467a9

Observation fff02998-5190-4683-9420-5edff5ce08c6 · outbound

This paper cites Moment matching for multi-source domain adaptation,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Moment matching for multi-source domain adaptation,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.650073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.650073Z digest=sha256:f32ef769029b49752f56d62b6a4a8727b3ebba9191b2b9c431dfa0c8d2752d58

Observation 5fe9e5f5-4688-4a0c-819a-fadf01b333d6 · outbound

This paper cites Imagenet large IEEE TRANSACTIONS ON IMAGE PROCESSING 13 scale visual recognition challenge,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Imagenet large IEEE TRANSACTIONS ON IMAGE PROCESSING 13 scale visual recognition challenge,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:21.010951Z

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=2026-08-06T18:00:20.654293Z digest=sha256:fca39a4f7e4b583d3431ffbffc7887c80a7a84c129d5513abf258c4a88b5ff4e

Observation 26df7d25-d3c4-4fae-bf67-c29519565b2d · outbound

This paper cites Isolation and impartial aggregation: A paradigm of incremental learning without interference,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Isolation and impartial aggregation: A paradigm of incremental learning without interference,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.657243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.657243Z digest=sha256:178b5d301ca9305a8d1f7346287d8fb42ed34101c3857018f8015c975a279628

Observation de520aba-25b8-44ca-a22f-885d4716141d · outbound

This paper cites Weighted Ensemble Models Are Strong Continual Learners.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Weighted Ensemble Models Are Strong Continual Learners

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.660701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.660701Z digest=sha256:f421de907af2d0dbd3a1e565e2b2616e9219babf13ec55be16a236c6c54ee73e

Observation 3e35cfd7-c697-42f6-bd29-b4d59897d192 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning The caltech-ucsd birds-200-2011 dataset,

Reference 71

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unresolved
no resolver link, observed 2026-08-06T18:00:20.664136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.664136Z digest=sha256:55606ea8c54c31f48c8ea940acd898ee0bf8935dc2afd8634a2a5f50b16e277f

Observation 415d6373-ab0e-4a84-95ed-f461ec1305d2 · outbound

This paper cites 3d object representations for fine-grained categorization,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning 3d object representations for fine-grained categorization,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:20.991163Z

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=2026-08-06T18:00:20.666952Z digest=sha256:7649d843c293ffc32d2ef72c95cc50bdb7d38481dcc207fae4b28a7064c2c713

Observation 276f22cc-f255-4460-bd09-e4dc00a49186 · outbound

This paper cites Generating instance-level prompts for rehearsal-free continual learning,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Generating instance-level prompts for rehearsal-free continual learning,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:20.982320Z

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=2026-08-06T18:00:20.669891Z digest=sha256:ea9c58a602240290c1fa3d98a79600520decf32c443b91f7ef17bdf94a5e0811

Observation f790eb41-dcb5-4d9b-8f9c-5b5d827485ee · outbound

This paper cites Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.672647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.672647Z digest=sha256:2489e1e46ad0739ad56e13dfdb442b16703ba7ed0bfb62801af123076dcbd9b6

Observation 460d733d-8c87-4dff-ba6d-fb9c2d3a1664 · outbound

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

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Hierarchical decomposition of prompt-based continual learning: Rethinking obscured sub-optimality,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:20.973470Z

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=2026-08-06T18:00:20.676421Z digest=sha256:9eac79ab614ee03ecac7d34bebbbb082122af143bdc5ccf5d0b13f89b04aa585

Observation a5843fa5-e32c-40d6-823b-1c2c3dd23825 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Emerging properties in self-supervised vision transformers,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.679193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.679193Z digest=sha256:005334bf702d5381646aee08cdd0a28aa44691e4d6e8a898c712fba8a37ab2d8

Observation eae453d2-279e-47de-94c0-d4c5b1426467 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T18:00:20.682062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:00:20.682062Z digest=sha256:ab1e8df37e41e62f56d2bbd917b9a10b1a37805c27b65c79d75dd675d4a436ea

Observation 671640de-a550-41e2-ae5e-87f990f0b52f · outbound

This paper cites Student with the University of Technology Sydney, Australia.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Student with the University of Technology Sydney, Australia

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:00:20.959374Z

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=2026-08-06T18:00:20.685475Z digest=sha256:07e4b84a0ef68b93c8f221460fb0744fd75398ac2477a493edb5253df855de8c

Pith citing papers

Observation 40b5e893-167b-4dca-ac95-263d1aa08c99 · inbound

Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning cites this paper.

Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T20:23:10.477286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:23:10.477286Z digest=sha256:bd2d7de4d9dfe8ee2c853cb674b57f69edf914abcc47a2bf5f68d0e38b1c9ad5

Observation 70eddb3d-9030-4951-bb0f-a1c0e08d6bfe · inbound

Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection cites this paper.

Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning

Reference 17

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unresolved
no resolver link, observed 2026-08-02T05:13:44.024856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:13:44.024856Z digest=sha256:5ef773980153a83f37611110fa99a0516cfca32dd8ebf1c3c520223037bdb381