DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning | Paper Citation Record

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This paper cites Nature Chemistry10(4), 383–394 (2018) https://doi.org/10.1038/ s41557-018-0021-z.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Nature Chemistry10(4), 383–394 (2018) https://doi.org/10.1038/ s41557-018-0021-z

Reference 1

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This paper cites Nature Reviews Drug Discovery17(2), 97–113 (2018) https://doi.org/10.1038/nrd.2017.232.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Nature Reviews Drug Discovery17(2), 97–113 (2018) https://doi.org/10.1038/nrd.2017.232

Reference 2

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This paper cites Science166(3902), 178–192 (1969) https://doi.org/10.1126/science.166.3902.178.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Science166(3902), 178–192 (1969) https://doi.org/10.1126/science.166.3902.178

Reference 3

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This paper cites Science228(4698), 408–418 (1985) https://doi.org/10.1126/ science.3838594.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Science228(4698), 408–418 (1985) https://doi.org/10.1126/ science.3838594

Reference 4

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Observation 0ff83023-95cb-4912-adcd-dddd5f263f8f · outbound

This paper cites Pure and Applied chemistry14(1), 19–38 (1967).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Pure and Applied chemistry14(1), 19–38 (1967)

Reference 5

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Observation 8d28668f-dfea-4b09-8aac-9495f4cdbe14 · outbound

This paper cites (eds.): Computer-Assisted Organic Synthe- sis.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning (eds.): Computer-Assisted Organic Synthe- sis

Reference 6

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Observation 98ca2a98-6fbb-4fd3-ba67-f46c74d3f719 · outbound

This paper cites Recent advances in artificial intelligence for retrosynthesis.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Recent advances in artificial intelligence for retrosynthesis

Reference 7

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Observation 2d00c192-9b82-4bc1-bf8f-0f7482a38f38 · outbound

This paper cites Science365(6453), 1566 (2019) https://doi.org/10.1126/science.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Science365(6453), 1566 (2019) https://doi.org/10.1126/science

Reference 8

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Observation 0f4ce604-e28f-4dff-8ea0-f3d32c797937 · outbound

This paper cites Angewandte Chemie International Edition55(20), 5904–5937 (2016).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Angewandte Chemie International Edition55(20), 5904–5937 (2016)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.737921Z

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Observation e8e38c1f-9683-40ef-8dae-aa0fb6c8985f · outbound

This paper cites Chemistry–A European Journal23(25), 5966–5971 (2017).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemistry–A European Journal23(25), 5966–5971 (2017)

Reference 11

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Observation 36475e3c-ce2f-4500-969e-4ee4d7d08ad0 · outbound

This paper cites Journal of chemical information and modeling60(7), 3398– 3407 (2020).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of chemical information and modeling60(7), 3398– 3407 (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.722565Z

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This paper cites ACS central science3(12), 1237–1245 (2017).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning ACS central science3(12), 1237–1245 (2017)

Reference 13

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This paper cites Journal of chemical information and modeling (2022).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of chemical information and modeling (2022)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.707879Z

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This paper cites Journal of chemical information and modeling59(12), 5026–5033 (2019).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of chemical information and modeling59(12), 5026–5033 (2019)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.699719Z

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Observation 0c336585-c44e-491d-b610-a2f1301c8113 · outbound

This paper cites Advances in Neural Information Processing Systems 32, 8872–8882 (2019).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Advances in Neural Information Processing Systems 32, 8872–8882 (2019)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.692442Z

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Observation 11960427-9d84-433c-bee7-ca16d8ddc8a2 · outbound

This paper cites JACS Au1(10), 1612–1620 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning JACS Au1(10), 1612–1620 (2021)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.684737Z

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Observation efd1bbf2-ce29-4bce-abae-052068b3bf2e · outbound

This paper cites Journal of Chemical Information and Modeling60(1), 47–55 (2019).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of Chemical Information and Modeling60(1), 47–55 (2019)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.677102Z

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Observation 94c96033-21c7-46d9-be39-dda9be2e05ba · outbound

This paper cites an unresolved cited work.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Unresolved cited work

Reference 19

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Observation 566e6eab-6514-45fa-8346-2e640786431a · outbound

This paper cites Chemical communications55(81), 12152–12155 (2019).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemical communications55(81), 12152–12155 (2019)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.661579Z

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Observation f7410a22-1897-46ab-bfe3-4506191fbaa0 · outbound

This paper cites Chemical science11(12), 3355–3364 (2020).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemical science11(12), 3355–3364 (2020)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.653971Z

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Observation d56938fe-aac6-4c5f-9743-20337061ae95 · outbound

This paper cites Nature communications11(1), 1–11 (2020).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Nature communications11(1), 1–11 (2020)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.645447Z

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Observation b492ed02-057c-4b11-84e7-319187f689e6 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence35(1), 531–539 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Proceedings of the AAAI Conference on Artificial Intelligence35(1), 531–539 (2021)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.637842Z

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This paper cites Journal of Chemical Information and Modeling61(1), 123–133 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of Chemical Information and Modeling61(1), 123–133 (2021)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.630314Z

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This paper cites Machine Learning: Science and Technology 3(1), 015022 (2022).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Machine Learning: Science and Technology 3(1), 015022 (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.622107Z

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Observation 6c1a6ee3-5b26-4bf4-9690-27e21f22790a · outbound

This paper cites Chemical Science13(31), 9023–9034 (2022).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemical Science13(31), 9023–9034 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.615040Z

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Observation ed9fd64c-30b0-4688-a42a-9fa6643828f6 · outbound

This paper cites Journal of Chemical Information and Modeling61(7), 3273–3284 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of Chemical Information and Modeling61(7), 3273–3284 (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.607792Z

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Observation cd1830d9-0835-4d88-8559-b6ba53fc03bd · outbound

This paper cites Neurocomputing457, 193– 202 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Neurocomputing457, 193– 202 (2021)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.599923Z

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This paper cites Computers & Chemical Engineering155, 107533 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Computers & Chemical Engineering155, 107533 (2021)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.592799Z

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This paper cites Journal of cheminformatics13(1), 1–15 (2021).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of cheminformatics13(1), 1–15 (2021)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.585393Z

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This paper cites Nature communications13(1), 1–10 (2022).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Nature communications13(1), 1–10 (2022)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.577745Z

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This paper cites ACS central science3(10), 1103–1113 (2017).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning ACS central science3(10), 1103–1113 (2017)

Reference 32

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This paper cites Journal of Cheminformatics12(1), 70 (2020) https: //doi.org/10.1186/s13321-020-00472-1.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of Cheminformatics12(1), 70 (2020) https: //doi.org/10.1186/s13321-020-00472-1

Reference 33

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This paper cites Advances in neural informa- tion processing systems30(2017).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Advances in neural informa- tion processing systems30(2017)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.561614Z

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This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 35

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Observation c72b6e0a-b85d-4366-8db6-83fb7460264b · outbound

This paper cites ChemBERTa-2: Towards Chemical Foundation Models.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning ChemBERTa-2: Towards Chemical Foundation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.259481Z

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Observation 7f5e2e33-4678-434c-9c0c-6169146c40a5 · outbound

This paper cites Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.262617Z

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This paper cites DrugLLM: Open Large Language Model for Few-shot Molecule Generation.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning DrugLLM: Open Large Language Model for Few-shot Molecule Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.265143Z

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This paper cites Translation between Molecules and Natural Language.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Translation between Molecules and Natural Language

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.268689Z

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This paper cites Chem- ical Science15(27), 10600–10611 (2024) https://doi.org/10.1039/D4SC00924J.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chem- ical Science15(27), 10600–10611 (2024) https://doi.org/10.1039/D4SC00924J

Reference 40

Resolution: verified exact; doi, observed 2026-08-06T19:31:06.390081Z

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Observation 46405e18-60c1-4d72-914d-c9eff3c3b2c7 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning ChemCrow: Augmenting large-language models with chemistry tools

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.273780Z

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Observation 8a6942a6-b571-4f0a-a515-694b4aa282f1 · outbound

This paper cites LLM-Augmented Chemical Synthesis and Design Decision Programs.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning LLM-Augmented Chemical Synthesis and Design Decision Programs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.276719Z

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This paper cites Journal of Natural Products88(3), 871–876 (2025) https://doi.org/10.1021/acs.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of Natural Products88(3), 871–876 (2025) https://doi.org/10.1021/acs

Reference 43

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:31:06.279649Z

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Observation 0750c60c-c7b1-419f-88f5-682949092681 · outbound

This paper cites Organic Process Research & Development8(5), 754–768 (2004) https: //doi.org/10.1021/op0402026.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Organic Process Research & Development8(5), 754–768 (2004) https: //doi.org/10.1021/op0402026

Reference 44

Resolution: verified exact; doi, observed 2026-08-06T19:31:06.359897Z

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Observation ee9994f4-21e6-4c8b-8a3d-d9d01e390e84 · outbound

This paper cites Chemical Reviews97(7), 2611–2630 (1997) https://doi.org/10.1021/cr9600316.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemical Reviews97(7), 2611–2630 (1997) https://doi.org/10.1021/cr9600316

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T19:31:06.351851Z

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Observation 1567602f-8ef1-4611-87dc-ff6153d244d4 · outbound

This paper cites Chemical Reviews105(12), 4671–4706 (2005) https://doi.org/10.1021/ cr050521a.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Chemical Reviews105(12), 4671–4706 (2005) https://doi.org/10.1021/ cr050521a

Reference 46

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:31:06.553932Z

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Observation 5a78dd64-c4d9-436a-b519-a88944208990 · outbound

This paper cites Journal of the American Chemical Society78(9), 2023–2025 (1956) https://doi.org/10.1021/ja01590a079.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Journal of the American Chemical Society78(9), 2023–2025 (1956) https://doi.org/10.1021/ja01590a079

Reference 47

Resolution: verified exact; doi, observed 2026-08-06T19:31:06.343143Z

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Observation a43b0796-a1be-4977-b42e-722f206a2184 · outbound

This paper cites The Jour- nal of Organic Chemistry63(22), 7885–7892 (1998) https://doi.org/10.1021/ jo9811423.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning The Jour- nal of Organic Chemistry63(22), 7885–7892 (1998) https://doi.org/10.1021/ jo9811423

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:31:06.544755Z

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Observation 43dfc95b-ee25-4e46-802d-ffb53a707646 · outbound

This paper cites figshare.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning figshare

Reference 49

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:31:06.534822Z

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Observation 3721e90d-0d79-4908-982c-b4c7607efe31 · outbound

This paper cites In: Cappellato, L., Eickhoff, C., Ferro, N., N´ ev´ eol, A.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning In: Cappellato, L., Eickhoff, C., Ferro, N., N´ ev´ eol, A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.526705Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b02fd32d-c3e7-405b-bc9f-81161cd7b294 · outbound

This paper cites PhD thesis, Apollo - University of Cambridge Repository (2012).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning PhD thesis, Apollo - University of Cambridge Repository (2012)

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.299900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06bce43-7492-432b-9ca1-b85d021e1c9f · outbound

This paper cites NextMove Software.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning NextMove Software

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.518435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 51ee08fc-4099-45c3-9d0d-d9dcdea4e585 · outbound

This paper cites Accessed: 2025-06-30 (2024).

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Accessed: 2025-06-30 (2024)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:06.509872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5c8abd1-3fca-4acf-99fb-2a3c79cab78c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:06.307428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bcc452-6ef6-4fa1-ad00-5cfa2c1f2620 · outbound

This paper cites Tetrahedron63(26), 5709–5729 (2007) https://doi.org/10.1016/ j.tet.2007.02.044.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning Tetrahedron63(26), 5709–5729 (2007) https://doi.org/10.1016/ j.tet.2007.02.044

Reference 55

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:31:06.500805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers