Pith Number

pith:MCI3KDH3

pith:2021:MCI3KDH3U2L5JJYFYCWEOG5GG5

not attested not anchored not stored refs pending

Robust fine-tuning of zero-shot models

Ali Farhadi, Gabriel Ilharco, Hannaneh Hajishirzi, Hongseok Namkoong, Jong Wook Kim, Ludwig Schmidt, Mike Li, Mitchell Wortsman, Raphael Gontijo-Lopes, Rebecca Roelofs, Simon Kornblith

arxiv:2109.01903 v3 · 2021-09-04 · cs.CV · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{MCI3KDH3U2L5JJYFYCWEOG5GG5}

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

8 papers in Pith

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Matched-Learning-Rate Analysis of Attention Drift and Transfer Retention in Fine-Tuned CLIP

LAION-5B: An open large-scale dataset for training next generation image-text models

Receipt and verification

First computed	2026-07-05T04:33:50.583136Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6091b50cfba697d4a705c0ac471ba637734a9ea952034dad9f82e5ea3075c98f

Aliases

arxiv: 2109.01903 · arxiv_version: 2109.01903v3 · doi: 10.48550/arxiv.2109.01903 · pith_short_12: MCI3KDH3U2L5 · pith_short_16: MCI3KDH3U2L5JJYF · pith_short_8: MCI3KDH3

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/MCI3KDH3U2L5JJYFYCWEOG5GG5 \
  | 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: 6091b50cfba697d4a705c0ac471ba637734a9ea952034dad9f82e5ea3075c98f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "269c37179e0a7991b701e7a3bff00c24dd130562c46e93630870cb29c7500e62",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2021-09-04T17:11:28Z",
    "title_canon_sha256": "9551ab5b1032b90bf857fc2e78d6446eeb225429f027950fa5dc70c813e85cbd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2109.01903",
    "kind": "arxiv",
    "version": 3
  }
}