pith:YKHLZIZF
A Deterministic Agentic Workflow for HS Tariff Classification: Multi-Dimensional Rule Reasoning with Interpretable Decisions
A deterministic six-stage agentic workflow for HS tariff classification reaches 64.2% top-1 accuracy at six digits on HSCodeComp and flags possible inconsistencies in some ground-truth labels.
arxiv:2605.14857 v1 · 2026-05-14 · cs.AI · cs.IR
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\pithnumber{YKHLZIZFJLSGGHQIPOO6TDO7G3}
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Claims
Evaluated on HSCodeComp at the six-digit level, the workflow reaches 75.0% top-1 and 91.5% top-3 at four digits, and 64.2% top-1 and 78.3% top-3 at six digits with Qwen3.6-plus; an open-weight Qwen3.6-27B-FP8 backbone achieves 84.2% four-digit and 77.4% six-digit top-1 agreement.
That a fixed six-stage decomposition of multi-dimensional HS rule reasoning, supported by offline knowledge engineering, will correctly resolve all priority conflicts among material, function, essential character, and part-versus-whole axes without missing interactions that require dynamic reordering.
A deterministic six-stage agentic workflow for HS tariff classification reaches 64.2% top-1 accuracy at six digits on HSCodeComp and flags possible inconsistencies in some ground-truth labels.
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Receipt and verification
| First computed | 2026-05-17T23:38:56.267276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c28ebca3254ae4631e087b9de98ddf36de91ce7fa0a19498cda68ba40fb4780e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YKHLZIZFJLSGGHQIPOO6TDO7G3 \
| 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: c28ebca3254ae4631e087b9de98ddf36de91ce7fa0a19498cda68ba40fb4780e
Canonical record JSON
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