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Pith Number

pith:JV7LWPYN

pith:2025:JV7LWPYNWCBA7VWZRNJHBU6M26
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Training-Free Multimodal Large Language Model Orchestration

Jiayi Ji, Rongrong Ji, Tat-Seng Chua, Tianyu Xie, Wang Chen, Xiawu Zheng, Yuexiao Ma, Yuhang Wu

A training-free framework uses an off-the-shelf LLM to route and sequence separate modality experts into one unified multimodal system.

arxiv:2508.10016 v4 · 2025-08-06 · cs.CL

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\pithnumber{JV7LWPYNWCBA7VWZRNJHBU6M26}

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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

Across diverse multimodal benchmarks, LLM Orchestration achieves strong performance under standard evaluation constraints while maintaining low orchestration overhead and modular upgradeability, providing a practical alternative to costly joint training for omni-modal systems.

C2weakest assumption

That an off-the-shelf LLM controller can reliably infer user intent and emit correct explicit control tokens for expert selection and sequencing without introducing routing errors that degrade overall performance.

C3one line summary

A training-free orchestration framework integrates off-the-shelf modality experts via an LLM controller, text-centric cross-modal memory, and unified interaction layer to enable multimodal input-output without joint training.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-25T02:02:08.331790Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4d7ebb3f0db0820fd6d98b5270d3ccd7af6db927c1ebea92b12fa58a6fd911ec

Aliases

arxiv: 2508.10016 · arxiv_version: 2508.10016v4 · doi: 10.48550/arxiv.2508.10016 · pith_short_12: JV7LWPYNWCBA · pith_short_16: JV7LWPYNWCBA7VWZ · pith_short_8: JV7LWPYN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JV7LWPYNWCBA7VWZRNJHBU6M26 \
  | 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: 4d7ebb3f0db0820fd6d98b5270d3ccd7af6db927c1ebea92b12fa58a6fd911ec
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "42a0e176c9c96a2b7d548a54fa861cb18adb177f81cd8b8323972b2f17495e9a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2025-08-06T16:17:29Z",
    "title_canon_sha256": "7b2aac3bc4eb52a396b6d73398481ac89f1b6a76341c177dde3603ca54acbc56"
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  "source": {
    "id": "2508.10016",
    "kind": "arxiv",
    "version": 4
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}