pith:NGEOIQIS
FlowPlan-G2P: A Structured Generation Framework for Transforming Scientific Papers into Patent Descriptions
A structured graph framework turns scientific papers into patent descriptions more effectively than scaling up language models.
arxiv:2601.02589 v4 · 2026-01-05 · cs.CL · cs.AI
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\usepackage{pith}
\pithnumber{NGEOIQISEQW6TZHMDS5APPXDCI}
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Record completeness
Claims
structured decomposition is a stronger determinant of quality than model scale
That the expert-validated benchmarks and domain-specific evaluation accurately measure legal compliance and that the induced concept graphs capture all statutory constraints needed for valid patent descriptions
FlowPlan-G2P decomposes scientific paper to patent conversion into concept graph induction, section-level planning, and graph-conditioned generation, outperforming direct proprietary models under a domain-specific legal compliance evaluation.
Formal links
Receipt and verification
| First computed | 2026-05-26T01:02:30.326871Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6988e44112242de9e4ec1cba07bee3121a65f7beecf5f1f9dd62391e6f5cde6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NGEOIQISEQW6TZHMDS5APPXDCI \
| 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: 6988e44112242de9e4ec1cba07bee3121a65f7beecf5f1f9dd62391e6f5cde6e
Canonical record JSON
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"cross_cats_sorted": [
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],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-01-05T22:40:15Z",
"title_canon_sha256": "12e5611da705d7d848adc004fb13f4f564165ffceb341b965be1007bf9832781"
},
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"source": {
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"kind": "arxiv",
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