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Pith Number

pith:OK6CIMY2

pith:2026:OK6CIMY2AXSYSPYBVGVZXNXC2P
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Unlocking Compositional Generalization in Continual Few-Shot Learning

Chi-Nguyen Tran, Dao Sy Duy Minh, Huynh Trung Kiet, Long Tran-Thanh, Phu-Hoa Pham, Phu-Quy Nguyen-Lam

By optimizing slot representations for holistic class identity in training and composing them at inference, the framework achieves strong generalization to novel concepts with minimal forgetting.

arxiv:2605.11710 v2 · 2026-05-12 · cs.LG · cs.CV

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\pithnumber{OK6CIMY2AXSYSPYBVGVZXNXC2P}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

our framework employs a dual-phase strategy. During training, slot representations are optimized entirely toward holistic class identity, preserving highly generalizable, object-level geometries. At inference, preserved slots are dynamically composed to match novel scenes... achieving state-of-the-art unseen-concept generalization and minimal forgetting across standard continual learning benchmarks.

C2weakest assumption

Leveraging the inherent patch-level semantic geometry of self-supervised Vision Transformers (ViTs) that remains generalizable when optimized holistically for class identity rather than tying to seen patterns.

C3one line summary

A dual-phase framework using self-supervised ViT slots optimizes representations for class identity during training and composes them dynamically at inference to achieve state-of-the-art generalization to unseen concepts with minimal forgetting in continual few-shot learning.

Receipt and verification
First computed 2026-05-20T00:05:47.173025Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

72bc24331a05e5893f01a9ab9bb6e2d3e7d045dff269dda6f4ce4bf326ebee21

Aliases

arxiv: 2605.11710 · arxiv_version: 2605.11710v2 · doi: 10.48550/arxiv.2605.11710 · pith_short_12: OK6CIMY2AXSY · pith_short_16: OK6CIMY2AXSYSPYB · pith_short_8: OK6CIMY2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OK6CIMY2AXSYSPYBVGVZXNXC2P \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 72bc24331a05e5893f01a9ab9bb6e2d3e7d045dff269dda6f4ce4bf326ebee21
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5541458649b3dbe1fdfbf6907ee105b0fab0f1423634d8f2cf81c44835a76c44",
    "cross_cats_sorted": [
      "cs.CV"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-12T08:02:31Z",
    "title_canon_sha256": "1b76d8df970131856b7ae6642ed9aa765dfbc0f0008157436f31c93c8bc432b8"
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  "source": {
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    "kind": "arxiv",
    "version": 2
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}