pith:6PLHLFVT
Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning
A three-role agentic framework with a self-evolving knowledge bank raises VLM accuracy on few-shot multimodal time series classification while generating human-readable feature explanations.
arxiv:2605.09395 v2 · 2026-05-10 · cs.AI · cs.LG · cs.MA · cs.MM
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\usepackage{pith}
\pithnumber{6PLHLFVTKG7NBVH4KF3RP6MK45}
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Record completeness
Claims
MarsTSC delivers substantial and consistent performance gains across 6 VLM backbones, outperforming both classical and foundation model-based time series baselines under few-shot conditions, while producing interpretable rationales that ground each classification decision in human-readable feature evidence.
That the Reflector can reliably identify and the Modifier can safely incorporate temporal features overlooked by the Generator without introducing new biases or causing the knowledge bank to collapse or overfit during iterative refinement and test-time updates.
MarsTSC is a VLM-based agentic reasoning framework with a self-evolving knowledge bank and Generator-Reflector-Modifier roles that achieves better few-shot multimodal time series classification than baselines on 12 benchmarks.
Receipt and verification
| First computed | 2026-05-20T00:03:16.488361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3d67596b351bed0d4fc517717f98ae76d5040a9097878c5242d817e0cd0cbcc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6PLHLFVTKG7NBVH4KF3RP6MK45 \
| 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: f3d67596b351bed0d4fc517717f98ae76d5040a9097878c5242d817e0cd0cbcc
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
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"submitted_at": "2026-05-10T07:47:09Z",
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