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pith:J5PCKIL2

pith:2026:J5PCKIL2BIXIAS2352MYAU6M3Z
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From Feasible to Practical: Pareto-Optimal Synthesis Planning

Antonio del Rio Chanona, Dongda Zhang, Friedrich Hastedt

MORetro* recovers the true Pareto front of synthesis routes for any fixed single-step retrosynthesis model.

arxiv:2605.07521 v2 · 2026-05-08 · cs.AI

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\pithnumber{J5PCKIL2BIXIAS2352MYAU6M3Z}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Building on multi-objective A*-search, we provide optimality guarantees showing that, for a fixed single-step model, MORetro* recovers the true Pareto front.

C2weakest assumption

That the single-step retrosynthesis model is fixed and sufficiently accurate, and that user-defined criteria can be meaningfully scalarized via weights without missing important non-convex trade-offs.

C3one line summary

MORetro* uses weighted scalarization and BO-informed sampling on multi-objective A* search to produce Pareto-optimal synthesis routes with optimality guarantees for fixed single-step models.

Receipt and verification
First computed 2026-05-27T01:05:56.499356Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4f5e25217a0a2e804b5bee998053ccde7146a0e90694a2e3206fae8eb64af83b

Aliases

arxiv: 2605.07521 · arxiv_version: 2605.07521v2 · doi: 10.48550/arxiv.2605.07521 · pith_short_12: J5PCKIL2BIXI · pith_short_16: J5PCKIL2BIXIAS23 · pith_short_8: J5PCKIL2
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5PCKIL2BIXIAS2352MYAU6M3Z \
  | 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: 4f5e25217a0a2e804b5bee998053ccde7146a0e90694a2e3206fae8eb64af83b
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e4f39eb78d2bc5d174f07ffe83554865c8fe96e89fd2e64521bc2c7315d9425d",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-08T09:53:30Z",
    "title_canon_sha256": "5f992c88456ee3061600988da999e87902b9de016bb6b8efed621913e45ed4cc"
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  "source": {
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    "kind": "arxiv",
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