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Paper Citation Record · LEDGER

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning

As of 12 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.07060.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.07060 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:31:06.309784Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy27
  • unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dafb08c1-0e1a-4744-8540-ba7625087b75 · outbound

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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Observation 0dcaae07-1d6a-4678-84b6-c7eb6d70d491 · outbound

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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Observation adb0ef9c-dc02-4ea1-ac5f-2519dbbf028c · outbound

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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Observation bb3eaff8-f544-4e9c-868b-05f4f311269e · outbound

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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Observation 460e40eb-a212-4fe4-ae4a-fc086d677211 · outbound

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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Observation d25cbd80-c685-4311-a834-f650b5cc464e · outbound

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

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Observation 7c9df1dc-d933-4922-a147-e4a2d8729eb1 · outbound

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2b6c9eb0-8d07-4c96-9ea2-09ce00ee4562 · outbound

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 111732b4-88ce-454c-ab5f-79e4e237b87a · outbound

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ca34f7d3-c4c1-4cf8-a64f-f940f5f1dcd3 · outbound

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

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

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2210e4cc-76c3-4295-b5ae-5d8351a99afa · outbound

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 46150cc4-ed66-4937-9d2f-705db8b34b12 · outbound

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7a1e5293-70ee-4837-8579-230b9d6bfb7b · outbound

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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raw_fallback, observed 2026-08-06T19:31:06.569579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4464a92c-cea6-4785-bd95-c8a2a5ed19c6 · outbound

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:06.251769Z digest=sha256:b328431b7e80e0f59525a4373ba4d1d87b65f3cff99ef627523b78c63e00422a

Observation a26e376f-4767-4df3-b5d0-b5f860df3649 · outbound

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 20f7b308-1240-4f01-a81d-6387f1c7aee7 · outbound

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

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source=pdf_text observed=2026-08-06T19:31:06.259481Z digest=sha256:054a4dcb47af69f04654d88122f9cce98c6f282fec083057b4813d19d349d1f2

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

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source=pdf_text observed=2026-08-06T19:31:06.262617Z digest=sha256:cc7018029a154c03f671f9f56504347b82f5e22f60f6c220771e9027ae198586

Observation 40391242-6218-49b3-9728-db733e79be41 · outbound

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

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source=pdf_text observed=2026-08-06T19:31:06.265143Z digest=sha256:7197f0b1efa15a117fe215fe110406656db62c5bb0c395f812b295333f0d4f65

Observation a327ba7a-2709-49aa-af5f-e0f134765803 · outbound

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

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source=pdf_text observed=2026-08-06T19:31:06.268689Z digest=sha256:a74d890e4a614f672fae4384a0b3586671beb12e034851ab8a6a0db531865b62

Observation aac10296-bbc8-4e9e-ac19-c476606ca0e7 · outbound

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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source=pdf_text observed=2026-08-06T19:31:06.273780Z digest=sha256:f84e5252588267bf8861e7d942175d390ad12f1ecfafce128ebb76b1458839cc

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

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source=pdf_text observed=2026-08-06T19:31:06.276719Z digest=sha256:98acf35bbc75317ad1f27cf07a5b0facee4290aaac724b7749bac0613910ce8f

Observation 827f707a-730d-42d2-ad92-094088188580 · outbound

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

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source=pdf_text observed=2026-08-06T19:31:06.279649Z digest=sha256:566f7bcb0ec932602f4ef5290d9d4cd7a102026b5f419559f75bddcc8f761713

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.282420Z digest=sha256:b72d233ef4e069bbaba8b9bc0813ddd55b40682b9dbf506ec16ae2135ddee625

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.285082Z digest=sha256:38ca34510c9e44a025aea75249fd1f3fc3449faaff9b06d76c6ff231be4941c7

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.287535Z digest=sha256:26d40e151c08d39b265957057d528f7763e2f8a187e86967d642751a713baad5

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

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source=pdf_text observed=2026-08-06T19:31:06.289960Z digest=sha256:d404d56cf3d318984d65087624fa8a6cf65ca5d314a2c9a67a3247e9c2f271b5

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.292322Z digest=sha256:4dd65fdf5238430bc827dafc86184aea75ac458d0540f2a8715397b7f34d0703

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

This paper cites figshare.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning figshare

Reference 49

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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source=pdf_text observed=2026-08-06T19:31:06.299900Z digest=sha256:e63d57d53466d82385521c21fc99cb77df0b36d6957ad41cd728d81608cea2bf

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

This paper cites NextMove Software.

DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning NextMove Software

Reference 52

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raw_fallback, observed 2026-08-06T19:31:06.518435Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.302355Z digest=sha256:7ac14be4f96eae17e0cbd3919873f5da0794680b3a3197ba9e98beb6e36bdcfa

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

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raw_fallback, observed 2026-08-06T19:31:06.509872Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.304967Z digest=sha256:c9fada4ed55cbd690c85b786fb25a79dec4ba392028467b7e4db89809c3a453f

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

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source=pdf_text observed=2026-08-06T19:31:06.307428Z digest=sha256:1afa0bcbc6b9a03bb9ce52e4b26d4cc888f447c1c071c57df85d1de62a727367

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T19:31:06.309784Z digest=sha256:cdf916ff13eb8ef8feda3f4a8e1e2ae81a75090cda7212c9286af9b04a54b661

Pith citing papers

No inbound Pith citation observations are available.