Pith Number

pith:BQKL5GIH

pith:2025:BQKL5GIH6INWZL5NRWNHFLU6QD

not attested not anchored not stored refs pending

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

Baosheng He, Hanchao Yu, Hao Yu, Jianyu Wang, Jiayi Liu, Lizhu Zhang, Lukasz Korycki, Shen Yan, Xiangjun Fan, Zhuokai Zhao

arxiv:2503.19900 v1 · 2025-03-25 · cs.CV · 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{BQKL5GIH6INWZL5NRWNHFLU6QD}

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

6 papers in Pith

FreeRet: MLLMs as Training-Free Retrievers

CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework

PLUME: Latent Reasoning Based Universal Multimodal Embedding

Beyond Chain-of-Thought: Rewrite as a Universal Interface for Generative Multimodal Embeddings

Receipt and verification

First computed	2026-07-05T10:39:03.329811Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0c14be9907f21b6cafad8d9a72ae9e80e55097a6de956ef2f1338a05f8d4ccb2

Aliases

arxiv: 2503.19900 · arxiv_version: 2503.19900v1 · doi: 10.48550/arxiv.2503.19900 · pith_short_12: BQKL5GIH6INW · pith_short_16: BQKL5GIH6INWZL5N · pith_short_8: BQKL5GIH

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/BQKL5GIH6INWZL5NRWNHFLU6QD \
  | 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: 0c14be9907f21b6cafad8d9a72ae9e80e55097a6de956ef2f1338a05f8d4ccb2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9b459f0edf4b3cb10d7893939b79243126e068cd7314d2753326254500d3a95e",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-03-25T17:57:17Z",
    "title_canon_sha256": "320557c3f368f46022ca1806c2bbd310ea5d0bc4199666cec8e65d1166fe7f13"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.19900",
    "kind": "arxiv",
    "version": 1
  }
}