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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.473158Z digest=sha256:2c2336455b6034ed9e25a23a59fd68d732ac71fd21fff7cac922f79e5e6e8bc3

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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-06T18:00:20.485640Z digest=sha256:1823034e0a773a77ba360418bb4e9163f6172867bfa0c24b679fae872adeee36

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=sha256:644deff26b431ccee53c074d9d47e3ef8888e013abf019511f8995bb3bb9c885

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:d0dc08e6fb3f037e8a96e5b3aec37ebe7fffd43b9a4557c35dc23bf8d90e118c

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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source=pdf_text observed=2026-08-06T18:00:20.495156Z digest=sha256:0b86f26697be962b6667ffe19e2f62e34e2274d5a0da9c15264961c5a72d1dd6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.498251Z digest=sha256:6c2138aae33a7addbbda77b577b09c067e761f016e5e125a9849fd70d190717e

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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source=pdf_text observed=2026-08-06T18:00:20.501136Z digest=sha256:da725847aa00b5a803d0be56e4e6838cb4893894198b2d738cf65ae186ad2b55

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=sha256:653adfd0ad3aad1d31c67e33624e6fd154a07aed4520023f13d93d9e8f2554b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.507749Z digest=sha256:4d54b36c6da9cbc22e24605ddde30ebb94a4d14bb9fb34b81284a135d6fcaf03

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.510682Z digest=sha256:8d797cea41b8f3cd023bc53053975390c61d7fa610881296706a926f45a2134d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.513831Z digest=sha256:88bcf1dfe98d28796d62975b4805d8d0f1a503295d9f6566b8b3d1bb939c0353

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.517621Z digest=sha256:f979461406fe6a1cf83c1eba77e1d231b44a9b09e55b822643f05cad5c203735

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.520672Z digest=sha256:ca271ce709d443b34f2218c7f5ffc54c97ebfc9cefba6f0f6b3b2a41e1b63dcd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.524027Z digest=sha256:32128dd59420664f41b443166023083ceccfe0a8ee70cac572e3f2f07a8eca0b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.527585Z digest=sha256:4f996844d2cd4d89e357e6c0b2d079f4d363bd89f2bedaf63fee497521317f24

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.530550Z digest=sha256:60ed7244c63e1483c9787392c7e9dffa8baa4d9976758eb8aca264ffea428e4f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.533560Z digest=sha256:863c38ac504bf26f845bf0a4f867ce3b9b1419a1e462c812e0c9340e7cb1ebb5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.536453Z digest=sha256:2d3fd1915114becd3eaf59786583f5e6f6f04b32ebc8f6970d5bd60e82038e38

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.539607Z digest=sha256:d9b66e9f74e3302ffc819204cff1705a44dbc7b2ebc55af604054d129c5d4a34

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.542743Z digest=sha256:192867fa7e600b7366052ae24e036638b803e7caf70ec7120440bbbd2b34642c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.545676Z digest=sha256:7bea043ba34a74181293b3e530308517f2ce23f22321e6141fb25ea8f61f0442

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.549368Z digest=sha256:07c43cd96441e4d9e137c24f9bd67de5b76dcd7bdd413f4eedbe8c002e249506

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.555790Z digest=sha256:1b19881b7ae8075daf8d58130660599b92b62bf459bd3bcd6e20ea00abc5c3b1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.559690Z digest=sha256:102c6b11128a0addbecc53d3e098ddc041358e19f30b42af6f44a8474a03366b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.563107Z digest=sha256:c6a39f753c954303f42a98125c8ca11a68f975d54792de62ed3f57a957dcb49a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.565942Z digest=sha256:3f8bf71cdc792d042afe8abcaf4ff458b69c99b57c9eb7fd77c05ade65ac6aa5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.572195Z digest=sha256:15c4eb8d304687562c51f05bc8d9581ac228ba351f27e4acc26a332b0017f60a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.578200Z digest=sha256:f68a948f1b3821f9bb858d9334254dbb2fa359d779f1d2955a7a90722cbebdfd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.581260Z digest=sha256:b76d02bf71e328de15c6ae340a3d90b0417f022540e81aaa58d159e9a2b075a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.584340Z digest=sha256:e9a8234195f1d5753f84c955be99e3bb8fada002d75505feced9f0d257ac8792

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.588282Z digest=sha256:b1c9ebf80daefc9245f0428b39285a3084bd722eaeb5622631fec9487d04952f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.597435Z digest=sha256:f1ca8910855879619d6af37deef6f41a760a7c0cd2d5371bc02d6e94f001c1f3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.601120Z digest=sha256:3eef538ae96a8a8b1da50dc1857ea150faf624464f534466e2bde856abf93ec8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.604233Z digest=sha256:440d446203fa27eb2fd55dc5cd149542701161a8629ed45e96660981e5e957b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.608028Z digest=sha256:0af2dee7f2e60ec6ea0081586b3eccce9aa028356c3bcaf45cd712353e46e236

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.611313Z digest=sha256:8d10faf7a89931de5112b53a2f4be5b649dfb11fb09b9817d8f43a0a3116210c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.615339Z digest=sha256:95bfa0d947be1b292c486fe541023c591d2f1fa3ed54f35afe48acfc3330bf3a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.621299Z digest=sha256:a10beb4ca351991c35995c0405f6668ba2a6b7e9456749e9f51b80a61385aaaa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.628298Z digest=sha256:b732af5bee63530a8a36a84799c8f0f89005bc58d4e397d6b21b426ad951f3a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.632338Z digest=sha256:a6c30ab382ccf75c77f5275205bf75bea60f5514cd3d299831e4e9f87d3fdb45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.635933Z digest=sha256:4ba09d7188fcf0afbe582bf88f68958c58bdc87fc6f7efc55b94638fee58fc4f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.639807Z digest=sha256:f97786acc883fc6f969ee14efb78dbc8f2c5792f13de501f1b61149004db2723

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.642887Z digest=sha256:e6e7816de9172bb655df1bec3b098289ddcaf5468b988a811a2742391621a94f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.654293Z digest=sha256:27c4122f0b4f9d571ee57681f4029408302d2326f1d0d0881ee91b9949dc1767

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.666952Z digest=sha256:063dea1618e20857b668b6fb0cf58b2e8c47f2c2c4cdb751f76eb9f47e056678

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.669891Z digest=sha256:7778214952fa5c44e257687b67496c609c04428f6332d8c6692780bb69c7ae1e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.676421Z digest=sha256:c4c3d4b8f9578f975e294fc43b6d76645dd7dd884edd486c8ec75804e348355f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:00:20.685475Z digest=sha256:18e8b8876d9a5609c5ef84c00f3dbffe99adcda426f0f50644e504fbbcd6c86c

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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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