pith:GXVWYFRF
SciDER: Scientific Data-centric End-to-end Researcher
SciDER deploys specialized agents to turn raw scientific data directly into hypotheses, experimental designs, and executable code.
arxiv:2603.01421 v3 · 2026-03-02 · cs.AI · cs.CL
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\usepackage{pith}
\pithnumber{GXVWYFRFQ3KXQVMDJ6GU2DV4QE}
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Record completeness
Claims
Evaluation on three benchmarks shows SciDER excels in specialized data-driven scientific discovery and outperforms general-purpose agents and state-of-the-art models through its self-evolving memory and critic-led feedback loop.
That specialized collaborative agents can reliably parse and analyze arbitrary raw scientific data to produce hypotheses and experimental designs that are meaningfully grounded in the specific characteristics of that data.
SciDER introduces a data-centric end-to-end multi-agent system that automates the scientific research lifecycle from raw data analysis to code execution and outperforms general-purpose agents on three benchmarks via self-evolving memory and critic feedback.
Receipt and verification
| First computed | 2026-06-04T01:09:47.797035Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35eb6c162586d57855834f8d4d0ebc81160ba45bed046e142d732fb5d1b0ef01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GXVWYFRFQ3KXQVMDJ6GU2DV4QE \
| 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: 35eb6c162586d57855834f8d4d0ebc81160ba45bed046e142d732fb5d1b0ef01
Canonical record JSON
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