Pith. sign in
Pith Number

pith:ELWP4NFR

pith:2024:ELWP4NFRC4VGOABG2UOHTURCHW
not attested not anchored not stored refs pending

From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities

Bing Qin, Heng Chang, Jiafeng Liang, Jinhua Du, Jiyuan Wang, Ming Liu, Shixin Jiang, Weijiang Yu, Xuan Dong

arxiv:2412.11694 v3 · 2024-12-16 · cs.AI · cs.CL · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ELWP4NFRC4VGOABG2UOHTURCHW}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T10:23:27.635944Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

22ecfe34b1172a670026d51c79d2223d9750c92657f4fddc4162920c76ef1a9a

Aliases

arxiv: 2412.11694 · arxiv_version: 2412.11694v3 · doi: 10.48550/arxiv.2412.11694 · pith_short_12: ELWP4NFRC4VG · pith_short_16: ELWP4NFRC4VGOABG · pith_short_8: ELWP4NFR
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ELWP4NFRC4VGOABG2UOHTURCHW \
  | 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: 22ecfe34b1172a670026d51c79d2223d9750c92657f4fddc4162920c76ef1a9a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "752d96efb96579967b1c34e124f1c31a40d8b112039d376a1ed85e7c65499919",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-12-16T12:12:45Z",
    "title_canon_sha256": "9e8d376a8ff9c911028b0182d562ac84505bef7b0f2274ab7648f7bca1305d92"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.11694",
    "kind": "arxiv",
    "version": 3
  }
}