Pith Number

pith:3EQ76VC7

pith:2026:3EQ76VC7AHNWD6EORUL24YRR6R

not attested not anchored not stored refs pending

Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey

Bingzheng QU, Kehai Chen, Min Zhang, Xuefeng Bai

Multimodal large language models unify video translation through semantic reasoning, expressive speech, and visual synthesis.

arxiv:2604.11283 v2 · 2026-04-13 · cs.CV

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\usepackage{pith}
\pithnumber{3EQ76VC7AHNWD6EORUL24YRR6R}

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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.

Claims

C1strongest claim

we provide the first comprehensive overview of MLLMs-based video translation, organized around a three-role taxonomy: 1) Semantic Reasoner, which characterizes how MLLMs perform video understanding, temporal reasoning, and multimodal fusion; 2) Expressive Performer...; and 3) Visual Synthesizer...

C2weakest assumption

That the reviewed MLLM approaches genuinely overcome the limitations of cascaded pipelines in zero-shot settings and multi-speaker scenarios, as asserted without detailed evidence in the abstract.

C3one line summary

The paper offers the first focused review of MLLM-based video translation organized by a three-role taxonomy of Semantic Reasoner, Expressive Performer, and Visual Synthesizer, plus open challenges.

Receipt and verification

First computed	2026-06-02T02:04:53.000851Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d921ff545f01db61f88e8d17ae6231f46d2335e02ad12edc747268fad807015b

Aliases

arxiv: 2604.11283 · arxiv_version: 2604.11283v2 · doi: 10.48550/arxiv.2604.11283 · pith_short_12: 3EQ76VC7AHNW · pith_short_16: 3EQ76VC7AHNWD6EO · pith_short_8: 3EQ76VC7

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/3EQ76VC7AHNWD6EORUL24YRR6R \
  | 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: d921ff545f01db61f88e8d17ae6231f46d2335e02ad12edc747268fad807015b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "439181257122bb11c4d3229170d6c91009c79630af4868cd908ab45dd1c857e6",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-13T10:42:31Z",
    "title_canon_sha256": "78a14ddbd0c748ba2de52695e6b839fdd5ca2ba7b597bc672c6527171629ac68"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.11283",
    "kind": "arxiv",
    "version": 2
  }
}