Pith Number

pith:SPXEBG6S

pith:2026:SPXEBG6S3HEMQMNL4342VK2377

not attested not anchored not stored refs pending

Skill Neologisms: Towards Skill-based Continual Learning

Antonin Berthon, Mihaela van der Schaar, Nicolas Astorga

Skill neologisms let LLMs gain new abilities by adding optimized soft tokens to the vocabulary without any weight updates.

arxiv:2605.04970 v2 · 2026-05-06 · cs.LG · cs.AI

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\pithnumber{SPXEBG6S3HEMQMNL4342VK2377}

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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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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We then show that skill neologisms can be learned to improve model capabilities on specific skills while being composable with out-of-distribution skills, and that independently trained skill neologisms can be composed zero-shot. These results suggest that skill neologisms may provide a scalable path towards skill-based continual learning.

C2weakest assumption

That independently optimized skill neologisms can be added and composed without degrading the base model's performance on unrelated tasks or causing interference between skills.

C3one line summary

Skill neologisms are optimized soft tokens that improve LLM performance on targeted skills without weight updates and allow zero-shot composition for continual learning.

Receipt and verification

First computed	2026-05-20T02:05:44.317585Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

93ee409bd2d9c8c831abe6f9aaab5bffc0b50083bfae51650f149a540bcdc680

Aliases

arxiv: 2605.04970 · arxiv_version: 2605.04970v2 · doi: 10.48550/arxiv.2605.04970 · pith_short_12: SPXEBG6S3HEM · pith_short_16: SPXEBG6S3HEMQMNL · pith_short_8: SPXEBG6S

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SPXEBG6S3HEMQMNL4342VK2377 \
  | 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: 93ee409bd2d9c8c831abe6f9aaab5bffc0b50083bfae51650f149a540bcdc680

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "20a2ba7a276103402d440f2cc86dd85696c2dca5ff913c3cc6490f490b843dea",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-06T14:27:12Z",
    "title_canon_sha256": "eaf65003074448d82097cf0cb8bfcad3c9dfe2c0443a06e3a9096a73c1e91a5e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.04970",
    "kind": "arxiv",
    "version": 2
  }
}