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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:b9b7860022ba13f04a7253e75c40e82fc21f3855b0594436ba512c0a35ca0866

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=sha256:9a68df66ddc0398945761f77fd3df60589d4fe0f37009d9ebda026e6be3888bb

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 2026-08-14T06:32:32.682623+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:e708dd8b7318a98c9a13f80ae2b4b56c10b5635009b01eb769f0c3cd981dfc98

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:a33d110d48048860427c9dfb18e67b7016ec8e2e2987dcf0004519743a517858

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:ae8d29b2be638561f94fcfe9dc3a03bc5d4b4e0e43a893eb8cfafbab4fd7f591

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:fa8bb93fb64cfb87099e9bbcca264ac03054d681e1ee237dcb7329c0950a79af

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=sha256:4fba0be32097205e9917d26b8cbac9b9f8314b01a161ba28b22336c62d09820a

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=sha256:20b8d1f562ce2ec8e614dbed2031ea775f2120d6f6c169c8b79657c56308b34e

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 2026-08-14T06:32:32.682623+00:00.

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

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

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

Reference 14

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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:c3c41cfa41396801bbaafa2a085494b8adf3306e89b09f95bae4cec1b42568bc

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=sha256:6b8d573a28bb2fb44b1c5dbda8af0a3d189a979bf4582d4d8ae3e84bc3735221

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:d869d4ec3e80fdec97aa133e97fd840138e25c779f22d2d94e926f60f671ff6f

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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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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.510682Z digest=sha256:adb2d0f885052b13111f1bbb8ed97df7bc777300a6de3b574042d9a87ef857c6

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.517621Z digest=sha256:7ea3d84cd65fdc8644e78316f6f26f3f6e598237d86b0f220a288897c0f9e7c3

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=pdf_text observed=2026-08-06T18:00:20.520672Z digest=sha256:c9cb86819c4baaf8dabac55bcd6e15508ed575b2e81968fde99137dbe544bada

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.524027Z digest=sha256:e80388538841a76e687c756b3a0aefbb2adfb6c146dd021794abc8578ccbde32

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.527585Z digest=sha256:02b5f813669a5f91c7bfc73c49248fcfdff8f7ba5d1de42e129dee7c9a17bdb2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.530550Z digest=sha256:1e54746c7d088f50941777f0db4861b499998efb3d1c2271bb5adb11bf880d84

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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.533560Z digest=sha256:00a6c808a646cfc3a28adbb0f4df2f7aef8c3e068a9f34a69bdc559b9d4189d3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.536453Z digest=sha256:12a427becd5121a8122321e169c6d83a79fcfc695c64c9a6003133cbb3a2eccc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.539607Z digest=sha256:983f4669e45d9f03e3e44fcf709976f6aa14da778768a3b7404365d73a35c328

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.542743Z digest=sha256:95b5c2623cc40bb391ac8e1ba8c11b0ac00651c88d6d4591d552d3fc6e51c33b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.545676Z digest=sha256:c9cece2041f492aafcf5428351578a85b93ee7f7b079c48c8c88280110e8a9cb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.549368Z digest=sha256:498151a3473c820ab264dac522e9176223fcb4ff7e24517f73512180fe3c2f3b

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=sha256:5c1a6698c35e5d4532d0aa7103a978baedae2f8e5b2a8926e93ff98ea45bb170

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.555790Z digest=sha256:eb90ec79c56909064639008c9dd1ef10282f51594fcac186fba0d91d771fd26d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.559690Z digest=sha256:a28547ca0ed1ad3ffbb346623852ea3da71debb9379dab1ce6c603ede49ad86c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.563107Z digest=sha256:c83357d92d9a23d342f86312b6940f31b5ca6f035fa9ceef1092b4da3107cae8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.565942Z digest=sha256:796473c4ee4bdab72d6b7c8aa859ba070ea5850462ee1341e7d54dc8f50eba47

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=sha256:695cbb4dd9e903a418b9c92a71ffd9d05f2af95aa664d519c7ce994de10c6c85

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.572195Z digest=sha256:67d3de099367ac30e220eba941cba0d82ea5b68453021d70c2edeea8f653d0b5

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:f12d4a0e59d2514c8df19b409f999011128e04a0b45417fdeee0c47d8227d14a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.578200Z digest=sha256:c04d782d3a0efde3b4d682e808ace055e5b7c4d0b94f7f5961c78cdc037c232d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.581260Z digest=sha256:5a35bd641c1b5aced1b5ec9fc524103469facd721f07f4ac40603077abe257ed

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.584340Z digest=sha256:46b59d708287bd54522c467a5b780d8de54c9c8b6f46d03347e8ddc61641b4a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.588282Z digest=sha256:b1b55a71ce767cffd937c9134d9cf61232b3fa54d6c622b015a7e9a94682fee0

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:e11cec753a2a52c89fbd67c27d8b502a8c6771f55c287a14e4479c02ef495849

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=sha256:53a48d854dd80f6628099236460b6218f30eb056ee406148b7dae532455b4b17

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.597435Z digest=sha256:8ecfa6f8c38f15b61960d8f1537e0933fd769898bb05b7bca1a1fbcd1bf20075

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.601120Z digest=sha256:ce0223e33a1c450a9c2aede4d72b3d0b838b8d0a4971d5d6a64e11f625a9fa08

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.604233Z digest=sha256:14c4355305a17fda738107072302d31bd6dc809732dd2798fe11adb57e696031

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.608028Z digest=sha256:dbcb84f68a69c3d054694c070db071e7316daf6149a363bda8443ff0e96d6519

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.611313Z digest=sha256:2b9f948aa8b29b5d7d547169ba6cc3b6fbf5afd9b6e23a1489099db1d75053fd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.615339Z digest=sha256:fa84ab6abe4919a5fcf96f6dddde240c9feb352fb3ade2b0b742af0ccf501c86

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=sha256:18bfe70590a6017a41140a9d9e66c17bf5899d61ba358ceb78b24f976348a809

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.621299Z digest=sha256:d472ab94b306e11933d9348e60a0432c4b9d99dfe4c6052191b8e5ef4a9e72d3

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=sha256:6ade3b523dab5301d429f1b502c23c587491a4d05f8cd3572c13934d65b2ffd6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.628298Z digest=sha256:d50d8d1b4a4db403f42a04e8943e32f5a1cb50df59493c22f523ca8706afa949

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.632338Z digest=sha256:12db7ea7915203fa6eba9d4cb4e10941696add657b3154010e0648197c9ebc01

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.635933Z digest=sha256:73ef19998494aa2e17880e2cd7d0eaca7f3de861013dd8c2affaa3344078014d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.639807Z digest=sha256:102ee38d79b9dab11de8368b33a701be3f477a88573bb4c655ea5ffd87137b01

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.642887Z digest=sha256:1b6ca8de01abc120a8e46f56bab9a429e532fe02e25197cc3c8b3a3ed845f398

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=sha256:48fca1607ef8598c3e7343f5fb619edd2bdb82b8018847e86eb5b963a68ecb00

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:b17567e2a478c02e2a2a4d9e2dfb65f171e84686138513b62b16ea859c521ebb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.654293Z digest=sha256:cd5aa4aafef8619459b4478cef741b2880ef27a7c597f16f54d7659bbd350c84

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:a8ea1aeb66850fcb1d72c1b4315d97ecf6ebc53b07b1658be6bf90d8319f161e

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:b04baec9a0fe0e97ec13cf6763f0020b7040e1f78782d439bf4bea6ffd3d04db

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=sha256:8106e6748b6be80e4e29451ec0c2309238eca0fb41e7fcc6bebc9d12136f0dcd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.666952Z digest=sha256:c59126c195f73367148c4f728442e9d9058dcc1200c283f337c0ad1aee6950bf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.669891Z digest=sha256:d0f17d768a27e52f81c9d2f56a50b9571d0d2a19c129df6d7304b00bb8fba3af

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=sha256:4ce27d7daa036c3960d17978783d29cd14fce19666a820435d43126f6a339342

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.676421Z digest=sha256:48836ca459833cb2d4859f43eee07a3b39c12202804ec1214ca81c2b8f212629

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=sha256:8fe05abd1b564d5324eabcc73e905a137819492bae3441eb0da505cead1dffde

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:ca1ed586d739cd2dbf3ed6baa23f3dce427876522498ec32ed612a0060914bbc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:00:20.685475Z digest=sha256:39a2f03564ced10f0594edcc3ffb100d24cafaaa43c1f0a10a876a384c4b6c1d

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=sha256:210d85ab70009c293760c8e32828f4d467b74dc92a838d71157dd5da2fb9fab3

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:a1b89a8f4be64e32c42ed76e7d086ed5d7b4d9b0fe0cea197447d6aa0c8e9364