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pith:4P7MDSIT

pith:2026:4P7MDSIT6Z65IQUOGKLMAQ7FLM
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ConRetroBert: EMA Stabilized Dual Encoders for Template-Based Single-Step Retrosynthesis

Ali Khodabandeh Yalabadi, Ivan Garibay, Mohammad Jahid Ibna Basher, Ozlem Ozmen Garibay

Dual encoders with EMA stabilization lift template-based retrosynthesis top-1 accuracy from 50.5% to 62.4% on USPTO-50k.

arxiv:2605.12736 v1 · 2026-05-12 · cs.LG

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Claims

C1strongest claim

On the local USPTO-50k benchmark, Stage 2 candidate set ranking improves top-1 reaction accuracy from 50.5% to 61.3%, while EMA stabilized template adaptation further improves it to 62.4%. Fine tuning from a leakage controlled USPTO-Full checkpoint reaches 75.4% top-1 accuracy on USPTO-50k.

C2weakest assumption

The contrastive pretraining produces a shared embedding space in which nearest-neighbor retrieval over templates meaningfully corresponds to chemically valid reactant predictions, and that the mined hard-negative sets remain stable under the EMA update without introducing systematic bias.

C3one line summary

ConRetroBert achieves 62.4% top-1 accuracy on USPTO-50k by combining contrastive pretraining, hard-negative listwise ranking, and EMA-stabilized dual encoders for template retrieval in retrosynthesis.

References

28 extracted · 28 resolved · 0 Pith anchors

[1] Chemistry--A European Journal , volume= 2017
[2] ACS central science , volume= 2017
[3] Digital Discovery , volume= 2024
[4] Nature Communications , volume= 2023
[5] Nature Communications , volume= 2025

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Receipt and verification
First computed 2026-05-18T03:09:49.155711Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e3fec1c913f67dd4428e3296c043e55b3715588b3027ac82d80cab444c15cd16

Aliases

arxiv: 2605.12736 · arxiv_version: 2605.12736v1 · doi: 10.48550/arxiv.2605.12736 · pith_short_12: 4P7MDSIT6Z65 · pith_short_16: 4P7MDSIT6Z65IQUO · pith_short_8: 4P7MDSIT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4P7MDSIT6Z65IQUOGKLMAQ7FLM \
  | 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: e3fec1c913f67dd4428e3296c043e55b3715588b3027ac82d80cab444c15cd16
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-12T20:40:22Z",
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