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Paper Citation Record · LEDGER

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.12654.

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

pith.paper-citation-record.v1
2412.12654 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:57:49.495034Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:35.866884Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T10:59:37.841504Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 153cef18-0938-4891-8328-52f0e741128c · outbound

This paper cites Learning to learn task-adaptive hyperparameters for few-shot learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Learning to learn task-adaptive hyperparameters for few-shot learning

Reference 1

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2bcd2003-3a0a-4f70-a56e-a12f87d74988 · outbound

This paper cites Dark experience for gen- eral continual learning: a strong, simple baseline.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Dark experience for gen- eral continual learning: a strong, simple baseline

Reference 2

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Observation 28d0d063-d46d-4db2-bb56-5c055ac4598d · outbound

This paper cites Learning imbalanced datasets with label- distribution-aware margin loss.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Learning imbalanced datasets with label- distribution-aware margin loss

Reference 3

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Observation bb3aae51-7b2c-4381-9e44-785dce785b60 · outbound

This paper cites Metafscil: A meta-learning approach for few-shot class incremental learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Metafscil: A meta-learning approach for few-shot class incremental learning

Reference 4

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Observation dab56299-d929-4970-b3c4-d740f5921bf3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Imagenet: A large-scale hierarchical image database

Reference 5

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Observation 0781642d-4f01-4d82-8cc6-ba94d1c60233 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Arcface: Additive angular margin loss for deep face recognition

Reference 6

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Observation d26e836b-7b57-4328-a1ae-b0f7b348440f · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Model- agnostic meta-learning for fast adaptation of deep networks

Reference 7

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Observation 916080cb-2e78-4f22-b8e6-4a5c6b214e3c · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 8

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Observation aaa2f20f-c65d-4754-bb06-d6a4bc7ff0e8 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

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Observation dd9b9d9d-1b99-40f6-b396-393cef62817c · outbound

This paper cites Adaptive distribution calibration for few- shot learning with hierarchical optimal transport.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Adaptive distribution calibration for few- shot learning with hierarchical optimal transport

Reference 10

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Observation 69550af6-a585-404f-861c-84f34ae4767d · outbound

This paper cites Deep residual learning for image recognition.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Deep residual learning for image recognition

Reference 11

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Observation be1da73f-5b0e-4042-be88-8f82ab88bc2e · outbound

This paper cites Mask r-cnn.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Mask r-cnn

Reference 12

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Observation 7c8aa1db-af80-4374-b2f6-cd6edbde3f4c · outbound

This paper cites A theoretical study on solving continual learn- ing.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning A theoretical study on solving continual learn- ing

Reference 13

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Observation 02fe2711-16c6-4294-aa45-45693d1be64a · outbound

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

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Learning multiple layers of features from tiny images

Reference 14

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Observation 602634ee-fadd-4a3d-aeb4-e8e038d2f20a · outbound

This paper cites Unsupervised model personalization while preserving privacy and scalabil- ity: An open problem.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Unsupervised model personalization while preserving privacy and scalabil- ity: An open problem

Reference 15

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Observation 446ab9c8-f8fb-4633-98a8-ef16c4518583 · outbound

This paper cites Adversarial feature hallucination networks for few-shot learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Adversarial feature hallucination networks for few-shot learning

Reference 16

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Observation 7bc754d1-0cf0-4640-90a6-0c86d0034238 · outbound

This paper cites Adjusting logit in gaussian form for long-tailed visual recognition.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Adjusting logit in gaussian form for long-tailed visual recognition

Reference 17

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Observation 6e6078cf-dcea-4be3-8b9f-3d3a7adc3bfb · outbound

This paper cites Feature space transfer for data augmen- tation.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Feature space transfer for data augmen- tation

Reference 18

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Observation c20cfbf5-d473-426e-ab2f-01fe25c7e292 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Swin transformer: Hierarchical vision transformer using shifted windows

Reference 19

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Observation 25844376-258e-4103-975b-7ae67d85883b · outbound

This paper cites Generative Adversarial Residual Pairwise Networks for One Shot Learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Generative Adversarial Residual Pairwise Networks for One Shot Learning

Reference 20

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Observation 4ba92004-6628-4f40-b196-e49f83adc5db · outbound

This paper cites Long-tail learning via logit adjustment.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Long-tail learning via logit adjustment

Reference 21

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Observation e13f878d-d6f2-4fc1-a3ee-41f4cac4d407 · outbound

This paper cites Few-shot class-incremental learning from an open- set perspective.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot class-incremental learning from an open- set perspective

Reference 22

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Observation d2174a86-11db-4d37-a318-b71210bbc1a7 · outbound

This paper cites icarl: Incremental classifier and representation learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning icarl: Incremental classifier and representation learning

Reference 23

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Observation 806af72d-5f1f-4f32-a99a-1e623416149c · outbound

This paper cites Imagenet large scale visual recognition challenge.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Imagenet large scale visual recognition challenge

Reference 24

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Observation f58acbf5-871a-4f5f-b4d8-7bff9c24526d · outbound

This paper cites Prototypical networks for few-shot learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Prototypical networks for few-shot learning

Reference 25

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Observation d62b8f50-eb71-4324-888d-1557fe873f4b · outbound

This paper cites Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning

Reference 26

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Observation cdf9548b-e74f-4b37-b9ad-95759fa16e44 · outbound

This paper cites Pseudo re- hearsal using non photo-realistic images.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Pseudo re- hearsal using non photo-realistic images

Reference 27

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Observation d7599773-70a4-475c-ac52-b43fb02f78bd · outbound

This paper cites Few-shot class- incremental learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot class- incremental learning

Reference 28

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Observation 3c5539b7-da29-4347-9125-bad163877205 · outbound

This paper cites Local and global logit adjustments for long-tailed learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Local and global logit adjustments for long-tailed learning

Reference 29

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Observation e96167a1-beca-4651-b547-61759238b0e2 · outbound

This paper cites Visualizing data using t-sne.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Visualizing data using t-sne

Reference 30

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Observation 85c32cef-0b21-4108-a61e-cbb4f7da6e56 · outbound

This paper cites Attention is all you need.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Attention is all you need

Reference 31

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Observation 39d004b9-4a0b-405f-ab40-77dbc9b94d00 · outbound

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

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning The caltech-ucsd birds-200-2011 dataset

Reference 32

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Observation f3f97cb0-104e-409c-b6d1-50062f3a9dd5 · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Cosface: Large margin cosine loss for deep face recognition

Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 11fcde3e-ce90-4cc4-87be-964fe79461f1 · outbound

This paper cites Few-shot class-incremental learning via training-free prototype calibration.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot class-incremental learning via training-free prototype calibration

Reference 34

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Observation babeb446-80bf-4ce7-a744-41edfb9a5b40 · outbound

This paper cites Margin calibration for long-tailed visual recognition.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Margin calibration for long-tailed visual recognition

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.410876Z digest=sha256:3cd776e0024021f1b4c296ea7da06b84f06f58a1fbb839227a73217362d28ef7

Observation 7aa58a15-42ea-4fd9-bb4f-5d1bb1fb481a · outbound

This paper cites A unified generaliza- tion analysis of re-weighting and logit-adjustment for imbal- anced learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning A unified generaliza- tion analysis of re-weighting and logit-adjustment for imbal- anced learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.968420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.415856Z digest=sha256:0cdea693648d6eb3bb4004ac0d79ed3c01a4fa290022a1e4f8115a3a751f74cf

Observation 067e5b0c-7a26-4813-81f9-afea5746ca1c · outbound

This paper cites Learning imbalanced data with vision transformers.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Learning imbalanced data with vision transformers

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.949652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.422194Z digest=sha256:4779232b8c625fe6d9a2747179f531ef770b719b648c5fbda98ef1c0d4f47034

Observation f0d13714-a6e0-4d30-a6c5-63fb6655cff0 · outbound

This paper cites Scrollnet: Dy- namicweight importance for continual learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Scrollnet: Dy- namicweight importance for continual learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.931066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.428307Z digest=sha256:3907c0a4cfa955495c0083eb9dadd80b0b7f41c10c49f4436bdfe64c41d65c9b

Observation 35754ff6-6e73-49d0-bf4a-947bb5985cf0 · outbound

This paper cites Free Lunch for Few-shot Learning: Distribution Calibration.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Free Lunch for Few-shot Learning: Distribution Calibration

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T13:57:49.432779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:57:49.432779Z digest=sha256:fc1c3ee9a658ad4ce892e9430bebe07d414cd7c8a240b2c196afea5438d14fe4

Observation 1a53c841-0d73-4ac4-989e-1c742c1b819f · outbound

This paper cites Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T13:57:49.437796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:57:49.437796Z digest=sha256:83ea3d07865b3cacb7c84cc4e78863a00a481fa6a75371ca4424139baca53248

Observation 483f921c-4e27-417b-942e-6b39270805ca · outbound

This paper cites Few-shot incremental learning with contin- ually evolved classifiers.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot incremental learning with contin- ually evolved classifiers

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.908337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.444112Z digest=sha256:e357c3861cc771e5ea2645da229dc8754a59493258c403bd8a901df891f5e83a

Observation 085a4d34-2d5a-4c2e-aaee-0e06cfce1109 · outbound

This paper cites mixup: Beyond empirical risk minimiza- tion.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning mixup: Beyond empirical risk minimiza- tion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.874340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.448919Z digest=sha256:0f027969723185801692780cbfd9602d8fe256dea7f2b6d3342f9eea9d19c052

Observation 952339d8-874d-459f-9821-efd1bd4ed790 · outbound

This paper cites Class-incremental learning via deep model consolidation.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Class-incremental learning via deep model consolidation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.849567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.452695Z digest=sha256:78b20bd8812ae536c1e26fc21e9b67d231e80f688e5662955118efe0043ec9e6

Observation 52b5a7c6-c47f-4128-b5d7-59c129903991 · outbound

This paper cites Few-shot class- incremental learning via class-aware bilateral distillation.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot class- incremental learning via class-aware bilateral distillation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.820496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.462997Z digest=sha256:f94ae7d55c2f4908c1515ecaf9d471cf22fd18ad5276ce8c21cddebe0fc57493

Observation ad07c8b5-31cc-485f-8286-c80d33cb7fb4 · outbound

This paper cites Forward compatible few-shot class-incremental learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Forward compatible few-shot class-incremental learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.791236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.468690Z digest=sha256:ee880679af297b8839c9204b0cce6af8d9a28d9808d0138ae7fbebf014640927

Observation 58dbc578-7ec1-4fd0-85c8-0cb7b2b40252 · outbound

This paper cites Few-shot class-incremental learn- ing by sampling multi-phase tasks.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Few-shot class-incremental learn- ing by sampling multi-phase tasks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.759027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.474421Z digest=sha256:ba479a8db50335a6776ed7c0dee276e1f8a68743857a6ab078e0055f8ce10bab

Observation 68bca43c-23e7-42a6-8c95-7a3c0b2c4adc · outbound

This paper cites Self-promoted prototype refinement for few-shot class- incremental learning.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Self-promoted prototype refinement for few-shot class- incremental learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.732815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.478646Z digest=sha256:05b37ec7785c004710ef196cfcddecd94fb0dda576fecb795e92eb831652de5c

Observation 7c3866ea-5869-48fb-aa48-53eb7f1f66a9 · outbound

This paper cites Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Gkeal: Gaussian kernel embedded analytic learning for few-shot class incremental task

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:57:49.705023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:57:49.495034Z digest=sha256:2e2c7f21745bc9a968282dc8a5130e0a837cd90601ccc5508ea12e1a4d61fc26

Pith citing papers

Observation 88f11dc1-28e8-4cbf-9a22-5a7cd0694522 · inbound

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning cites this paper.

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:59:37.916854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T10:59:35.866884Z digest=sha256:3c5b2f76597eeb6519c7fda7d6399e5660fefa745024f3998a11259e5c4161af