Pith Number

pith:UG7AKLU6

pith:2024:UG7AKLU6DCQU5DEOSPOTDTACPI

not attested not anchored not stored refs pending

Many-Shot In-Context Learning

Aleksandra Faust, Ankesh Anand, Avi Singh, Azade Nova, Bernd Bohnet, Biao Zhang, Eric Chu, Feryal Behbahani, Hugo Larochelle, John D. Co-Reyes, Lei M. Zhang, Luis Rosias, Rishabh Agarwal, Stephanie Chan, Zaheer Abbas

arxiv:2404.11018 v3 · 2024-04-17 · cs.LG · cs.AI · cs.CL

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{UG7AKLU6DCQU5DEOSPOTDTACPI}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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.

Cited by

19 papers in Pith

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal

CLaaS: Continual learning as a service for sample efficient online learning

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

AMEL: Accumulated Message Effects on LLM Judgments

Receipt and verification

First computed	2026-07-05T09:21:43.019278Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a1be052e9e18a14e8c8e93dd31cc027a1ba808b720e59d91f49fb2e4a292c1a0

Aliases

arxiv: 2404.11018 · arxiv_version: 2404.11018v3 · doi: 10.48550/arxiv.2404.11018 · pith_short_12: UG7AKLU6DCQU · pith_short_16: UG7AKLU6DCQU5DEO · pith_short_8: UG7AKLU6

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UG7AKLU6DCQU5DEOSPOTDTACPI \
  | 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: a1be052e9e18a14e8c8e93dd31cc027a1ba808b720e59d91f49fb2e4a292c1a0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "226d5aba83f71b2bc88bcf33778e0bff3182cf3f1fb42c0c70b8c33e4ac519d8",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-04-17T02:49:26Z",
    "title_canon_sha256": "389da09728436e8178a3581e04836061715f6350b3895c86fc7360a31a1399e2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.11018",
    "kind": "arxiv",
    "version": 3
  }
}