pith:MRIXSBCH
Heterogeneous Dependency Graph-Guided Attentionfor Patent Representation Learning
A heterogeneous graph encoder that preserves patent claim dependencies outperforms text-only baselines by treating intra-document topology as the primary inductive bias.
arxiv:2605.10073 v2 · 2026-05-11 · cs.CL
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\pithnumber{MRIXSBCH36KUTPMDRWVCSUFA4G}
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Record completeness
Claims
PHAGE outperforms all baselines on classification, retrieval, and clustering, showing that intra-document claim topology is a stronger inductive bias than inter-document structure and that this bias persists in the encoder weights after training.
The deterministic graph construction pipeline can reliably separate near-deterministic legal citations from noisier rule-based technical relations while preserving type distinctions as heterogeneous edges.
PHAGE encodes patent claim hierarchies as heterogeneous graphs inside Transformers and outperforms baselines on classification, retrieval, and clustering by treating intra-patent topology as a stronger signal than inter-patent links.
Formal links
Receipt and verification
| First computed | 2026-05-28T01:04:42.101575Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6451790447df9549bd838daa2950a0e1bc9e471e15404483420a82751433b0fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRIXSBCH36KUTPMDRWVCSUFA4G \
| 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: 6451790447df9549bd838daa2950a0e1bc9e471e15404483420a82751433b0fb
Canonical record JSON
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