Pith Number

pith:DNKSUGZV

pith:2025:DNKSUGZVW6QRAMY7S42SVDNA6F

not attested not anchored not stored refs pending

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings

Furu Wei, Haonan Chen, Hong Liu, Liang Wang, Nan Yang, Yuping Luo, Zhicheng Dou

arxiv:2506.23115 v1 · 2025-06-29 · 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{DNKSUGZVW6QRAMY7S42SVDNA6F}

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

MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation

Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation

MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction

Receipt and verification

First computed	2026-07-05T11:29:15.902036Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1b552a1b35b7a110331f97352a8da0f158e708038f9ead7d1bd639846c7d2926

Aliases

arxiv: 2506.23115 · arxiv_version: 2506.23115v1 · doi: 10.48550/arxiv.2506.23115 · pith_short_12: DNKSUGZVW6QR · pith_short_16: DNKSUGZVW6QRAMY7 · pith_short_8: DNKSUGZV

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/DNKSUGZVW6QRAMY7S42SVDNA6F \
  | 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: 1b552a1b35b7a110331f97352a8da0f158e708038f9ead7d1bd639846c7d2926

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3cd55199acd0f73efd874c949cd4b02931d77807581fbba95343634f58091784",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-06-29T06:41:00Z",
    "title_canon_sha256": "c2cea8b7449aab276c8d0da647626191ea335d3a35db3dd5a28b33b46e2ba216"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.23115",
    "kind": "arxiv",
    "version": 1
  }
}