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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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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:c7c0d706ee4ec556e4ff3b6adbbb613af16da6b12f83d79f1e5055eb0a917534

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=sha256:464f79cc4518ebb66e366210227d2ffc4c68143c075a1f05c0232c9c8f52e264

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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=sha256:5892611ee85b23ed116739d44eb658eeede589fd7cf2c0cf6f4e560cc4831414

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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source=pdf_text observed=2026-08-06T18:00:20.373134Z digest=sha256:1a6a5e3e2eda92a759d584f9b2ac508d650b821f75bd27b48a51d6a09ea0dd2a

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=sha256:4d62cc6d313ac1d0bbf7ab14c8657ad0db7ff876f3fa50c5d267e7a2da359ca3

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:f3c6c245e028ba9619b181b8319914b09d5ef67a28d5db0b0d611102f7df7941

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=sha256:75727af333a24fba658b621e2ea909f25e9b781a5f1de4ebcb1f85b73cda2e67

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=sha256:932b0655ee1025c037e3221202965daf6bbeba343555ae2ef3258fcda109db81

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:00:20.473158Z digest=sha256:708b2aa03e64129157505555af317ee976ed6430c45790f56677f380ece14af3

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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source=pdf_text observed=2026-08-06T18:00:20.479594Z digest=sha256:d8e38a4d009838fcc52e4b11880b690c045567817f55c8e866249b62a31bff43

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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source=pdf_text observed=2026-08-06T18:00:20.482755Z digest=sha256:cb80ea08f40b3ab7df91ee80c37d312c7dd182ead63e0aa3f7866f46e81bfc7b

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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source=pdf_text observed=2026-08-06T18:00:20.488455Z digest=sha256:b4faa646cc6e1f0e29b31f96928a3eec3351ca68d8f1817ef285f44f2e1533ac

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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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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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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source=pdf_text observed=2026-08-06T18:00:20.504408Z digest=sha256:c42435b2a35f2779e4d0403d8828480fbf49d661e4a26bffca1ceee1588eb932

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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source=pdf_text observed=2026-08-06T18:00:20.507749Z digest=sha256:8349f18628bb857e5ebcde5a2e1e15b9938fce2b41edfb9e9fbbf8c760b4128a

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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source=pdf_text observed=2026-08-06T18:00:20.510682Z digest=sha256:bedcac57c8bcf880829f35b2022942998879b395e73271e95bd1c3c006aeca13

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 2026-08-08T06:32:00.761636+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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:00:20.517621Z digest=sha256:afda335ff3a15801eb7edf629f34027c267823c9328c906f4e855fcdd0d0e8b0

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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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=pdf_text observed=2026-08-06T18:00:20.520672Z digest=sha256:7a84157f11c08ad15598a24df4da3ddb4c335bfb334c422790067719aa74de75

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

source=pdf_text observed=2026-08-06T18:00:20.524027Z digest=sha256:5ba09b0cc1d3fa6c460c7294469cd689f68f42bc5bb79fe529b45a6b080b6109

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

source=pdf_text observed=2026-08-06T18:00:20.527585Z digest=sha256:2f47f19bbc05a258b2d0bdc8332552c813aa754fd832a1ad4efbf48148523369

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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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=pdf_text observed=2026-08-06T18:00:20.530550Z digest=sha256:e6e7ba0865b3b61a6c8f6ef29610d2d32589f6a6669330897d27fdb35cc90f59

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:00:20.533560Z digest=sha256:27417db3d557045788f3bdc0e4510294b0995f1db377c1edaa96ed00b5fba97f

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

source=pdf_text observed=2026-08-06T18:00:20.536453Z digest=sha256:ebac5ffc4940a2342b781ae87f4f8e44cf804e760d2b18e729c298bcb85734d4

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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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=pdf_text observed=2026-08-06T18:00:20.539607Z digest=sha256:dee2658331ed1d7a15de25989b64c0368b6b33f560995e18d5960e14e6180a35

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

source=pdf_text observed=2026-08-06T18:00:20.542743Z digest=sha256:d196a536f7729e5e8211acf3c352230465f403fb2c63dea597972e56bd1b6300

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

source=pdf_text observed=2026-08-06T18:00:20.545676Z digest=sha256:7c56fb2eb4cdfe5e644610ab4a59d0bdd17b709786cc60a2fb167884b8e99a62

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

source=pdf_text observed=2026-08-06T18:00:20.549368Z digest=sha256:6b8420170c62c68f7d8e96c47fa2d8d9f6845d1b8bde50d272a9f7dc1cfbbf03

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=sha256:0752f41fabc71223d9cef3b5862603f26ef25b5f613a489ab7a58458e4ce9ec0

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

source=pdf_text observed=2026-08-06T18:00:20.555790Z digest=sha256:b076c8a10b9e43177ba5bd6819c4b7ff453336cf683e48402aa916cd29d19933

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

source=pdf_text observed=2026-08-06T18:00:20.559690Z digest=sha256:e3339cb3381581cfa40312e8d70be66e5738924a26d305c343eee1ab62162b69

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

source=pdf_text observed=2026-08-06T18:00:20.563107Z digest=sha256:79bf2a2c3a946049a7ef959aee5845a368793c1c1df55b61e7525be683f3fdb1

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

source=pdf_text observed=2026-08-06T18:00:20.565942Z digest=sha256:ff4afcd17b6444d8c6e0f9ae371d5b36c0c7c4d0be9a98fdc670717a581ecfe5

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:bd29322ca7b346ce0029a60dfd6bd660a45c2bab34e4a70e31a810b09c2b0960

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

source=pdf_text observed=2026-08-06T18:00:20.572195Z digest=sha256:98fb81555f189c33f3eb688086a9c2efa6ba03752064374cf7b2cd27232716a2

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:e0c8796ccf7a2c1e1d9c9bde3546945fecc201244790e55cdc9dc3eeb4b71e00

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

source=pdf_text observed=2026-08-06T18:00:20.578200Z digest=sha256:6a86f6754652e6bfbc1413dbde9daa54fde85f5a070e04b5fd59a704454a7411

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

source=pdf_text observed=2026-08-06T18:00:20.581260Z digest=sha256:063cedd9dd67c3282c55a7c1263bce7daf0b2bd29c6444b50fe2437dfab69476

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

source=pdf_text observed=2026-08-06T18:00:20.584340Z digest=sha256:2e4a36e9231b6235019e43664356f9aa14fdd61eeb891ec90fe0a61fc8ca0ede

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

source=pdf_text observed=2026-08-06T18:00:20.588282Z digest=sha256:19eda2864119ab22e73848bc152919303b72787d0bd052f0ad50c02a90164ba0

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:eb0d275f316d0495eab9e65b838cc91691f1c697dc87c8124c424b8bcdf20ddf

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=sha256:53bdb952b973265ee00a0178e30a5d81400c727ba2e57c944c75d708c7499f28

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

source=pdf_text observed=2026-08-06T18:00:20.597435Z digest=sha256:21fce2c28882d997ac014d9e45b58d9672d6302ffe97b1baa1f5f086c325dacb

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

source=pdf_text observed=2026-08-06T18:00:20.601120Z digest=sha256:b9f360432b38878fbbe1d08066848c90ce7ed708873e49cf2f1362c7c89913b3

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

source=pdf_text observed=2026-08-06T18:00:20.604233Z digest=sha256:eae69b9bc305bf3ddd624f49106ea37c69e87d7a1de01690b4ce74c6e198ea7d

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

source=pdf_text observed=2026-08-06T18:00:20.608028Z digest=sha256:f8565c5e3a53cca8a1a78242005f2c1e6d1e7f0ea297ce5fccfe8f7eba2cbd3d

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

source=pdf_text observed=2026-08-06T18:00:20.611313Z digest=sha256:46210e98cf797e5c602c79e5378a509bcd46b0f6d68b8d8e71075ddf22b7f3b7

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

source=pdf_text observed=2026-08-06T18:00:20.615339Z digest=sha256:99d0f00dcabde12c7f5d4d4e84323f4fd4a83ed71f08595fff2df5e87879935d

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=sha256:13bc63b0890f8e83160e1154433ff5b4976aa784b5fc03a2b61f9c54662fd9cc

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

source=pdf_text observed=2026-08-06T18:00:20.621299Z digest=sha256:15ff67f44d0117232ae10b6e79f4275098fba0cf587dc7c773749eae1618fac9

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=sha256:95a030c391f5472fc1ed443deea58f0c3119620967fcb7b2334b63581484b1eb

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

source=pdf_text observed=2026-08-06T18:00:20.628298Z digest=sha256:23994bc89090ccf6c55db0fed36f13c977687d253e56422f1e38cc521fbe1dfa

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

source=pdf_text observed=2026-08-06T18:00:20.632338Z digest=sha256:f44c287c4e50fe03be7e73f7bf54867d86be0df4838095fad8d279c91b4e19f9

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

source=pdf_text observed=2026-08-06T18:00:20.635933Z digest=sha256:1ff3b50d52b4bb95fdb298474d9e7f53e400ce2be391ccd7c694bebfd565e681

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

source=pdf_text observed=2026-08-06T18:00:20.639807Z digest=sha256:b1ad2f79536d99ffe5eecf183aabc971351d952ff4cd66b4fcd294994c7ae672

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

source=pdf_text observed=2026-08-06T18:00:20.642887Z digest=sha256:a834cd43eeeacff909359f3fa23d7b6a9d546bf4b62c83c4c90d1f7cc8caf135

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:b0d08d1a4aea566847629a63e5060cc3daf9219abdab41fdaeac978d5f56594d

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=sha256:7cff38883c58f237b9ea2f19ba8f1dcb8daecc6a3de20fb0f080c18c9413ee5c

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

source=pdf_text observed=2026-08-06T18:00:20.654293Z digest=sha256:c6c4effa8a7ee7e764767ae8c332c533a7f31818e2f41a172be91c5f7e575b96

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=sha256:0bc83f8b1999626d286046f12cbaa093815ee40f813945f8be282634cd680e7e

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:b6d77c6d1efb218a800b4c588a455d9de8ee2866436b117f0a512656c29decb5

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

Resolution
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=sha256:5a75b5ceea402855760cc4c3e0699e621149c65ef5cd85442a515e71e498e82a

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

source=pdf_text observed=2026-08-06T18:00:20.666952Z digest=sha256:f547dec6510fa6b2dfd498171e33da3cff0da69b192fb8669419cee56ad2e305

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

source=pdf_text observed=2026-08-06T18:00:20.669891Z digest=sha256:d76e963f11a33f165f3078eb85e97d84842e1aada21bc6c37175e2bfcab7cafc

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=sha256:2d2ba011c0427127e4403c3c7276ddd7c726df18cc463459cc42bab1bba233dd

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

source=pdf_text observed=2026-08-06T18:00:20.676421Z digest=sha256:1b36de5b9c881816851f3620560cec7e0d0fa1dc2d7e24379da73184ff07469c

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:e70014a2c14496f345e831c238b41f1352ea0daff4ae5026b46955620eb18bae

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=sha256:6844c5a419a5001e38a5230601419da632b2e5492498bceee0cb6b084af29337

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

source=pdf_text observed=2026-08-06T18:00:20.685475Z digest=sha256:44b0129ff955a21bf78866674e5b7121cf9c6171aae4929cbc5cfd17d4451ab8

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:aab33186125cac3217a905aaa82ed72ecbd03bb0e408ab02e1c2e37d30c2f418

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=sha256:2a03ddb7d55dd42e7dd3bd1d37d7d5fd09ad1ffd25abcd518628446e8d30d421