Pith Number

pith:SMYSTUID

pith:2026:SMYSTUIDXY32S4FRTK74PLYNQ7

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MALLVI: A Multi-Agent Framework for Integrated Generalized Robotics Manipulation

AmirHossein Jadidi, Arad Mahdinezhad Kashani, Babak Khalaj, Iman Ahmadi, Mehrshad Taji, Saina Kashani

Multi-agent coordination with vision-language feedback enables closed-loop robotic manipulation that raises zero-shot success rates.

arxiv:2602.16898 v5 · 2026-02-18 · cs.RO · cs.AI · cs.CV · cs.LG

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\usepackage{pith}
\pithnumber{SMYSTUIDXY32S4FRTK74PLYNQ7}

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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

Experiments in simulation and real-world settings show that iterative closed loop multi agent coordination improves generalization and increases success rates in zero shot manipulation tasks.

C2weakest assumption

The vision-language model can reliably and accurately evaluate action outcomes and decide whether to repeat or proceed without introducing systematic errors in dynamic real-world conditions.

C3one line summary

MALLVI coordinates LLM and VLM agents (Decomposer, Localizer, Thinker, Reflector) to generate and adapt atomic robot actions from instructions and images, raising zero-shot success via iterative feedback.

References

25 extracted · 25 resolved · 1 Pith anchors

[1] VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models 2022 · arXiv:2307.05973

[2] Look before you leap: An exploratory study of uncertainty analysis for large language models.IEEE Transactions on Software Engineering, 51(2):413–429 2025 · doi:10.1109/tse.2024.3519464

[3] doi: 10.1109/LRA.2024.3471457. Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Sh 2024 · doi:10.1109/lra.2024.3471457

[4] This is a red block

[5] • For novel tasks (novel_noun, novel_adj, novel_adj_and_noun), use only the name, ignore color

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:16.068821Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

933129d103be37a970b19abfc7af0d87fd5a46f48654428d83365a7d537fe8a1

Aliases

arxiv: 2602.16898 · arxiv_version: 2602.16898v5 · doi: 10.48550/arxiv.2602.16898 · pith_short_12: SMYSTUIDXY32 · pith_short_16: SMYSTUIDXY32S4FR · pith_short_8: SMYSTUID

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/SMYSTUIDXY32S4FRTK74PLYNQ7 \
  | 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: 933129d103be37a970b19abfc7af0d87fd5a46f48654428d83365a7d537fe8a1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bc5bfce7229b7417306afcb329e3e71956fff5bdb302b066630380e34e2184df",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2026-02-18T21:28:56Z",
    "title_canon_sha256": "c21dd2a835656c94d6fc85196ae26e5d23f803fc45832689c2adcd5530b63e62"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.16898",
    "kind": "arxiv",
    "version": 5
  }
}