Paper Citation Record · LEDGER

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.25681.

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

pith.paper-citation-record.v1
2605.25681 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:42:26.924232Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

42 of 42 outbound references displayed

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verified fuzzy0
unresolved41
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malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00c2e197-b8fb-4911-a819-feb6e7ce1216 · outbound

This paper cites Medicinal polypharmacology—a scientific glossary of terminology and concepts.Frontiers in Pharmacology, 15:1419110, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Medicinal polypharmacology—a scientific glossary of terminology and concepts.Frontiers in Pharmacology, 15:1419110, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 4ae8c872-af33-4b39-8725-8309be99825e · outbound

This paper cites Polypharmacology: new drugs in 2023–2024.Pharmacological Reports, 77(3):543–560, 2025.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Polypharmacology: new drugs in 2023–2024.Pharmacological Reports, 77(3):543–560, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 4a6279d3-6233-45fc-ad82-5d3f880dca6f · outbound

This paper cites Deshaies.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Deshaies

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 4eff5843-c032-4c68-92ad-00f23565a56e · outbound

This paper cites Repro- gramming pretrained target-specific diffusion models for dual-target drug design.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Repro- gramming pretrained target-specific diffusion models for dual-target drug design

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation d7eecea9-68af-4af7-9fec-781c45cf01e9 · outbound

This paper cites A 3D genera- tion framework using diffusion model and reinforcement learning to generate multi-target compounds with desired properties.Journal of Cheminformatics, 17(1):93, 2025.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models A 3D genera- tion framework using diffusion model and reinforcement learning to generate multi-target compounds with desired properties.Journal of Cheminformatics, 17(1):93, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 4d069055-7751-4ace-8252-fc5df4354da5 · outbound

This paper cites Blundell, Pietro Lio, Max Welling, Michael Bronstein, and Bruno Correia.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Blundell, Pietro Lio, Max Welling, Michael Bronstein, and Bruno Correia

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8786c5d2-83d2-45be-98ec-4ce451172f6f · outbound

This paper cites A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation.Briefings in Bioinformatics, 25(4):bbae338, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation.Briefings in Bioinformatics, 25(4):bbae338, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 59491b82-2147-4eeb-8b64-07a3e44e72a7 · outbound

This paper cites Enabling multi-target drug discovery through latent evolutionary optimization and synthesis-aware prioritization (EVOSYNTH).

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Enabling multi-target drug discovery through latent evolutionary optimization and synthesis-aware prioritization (EVOSYNTH)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation f811958a-d07a-4b89-870c-9371f3f941c2 · outbound

This paper cites Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation b07cec7e-cdda-4c86-93b5-0794ab427fd5 · outbound

This paper cites Efficient multi-objective molecular optimization in a continuous latent space.Chemical Science, 10(34):8016–8024, 2019.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Efficient multi-objective molecular optimization in a continuous latent space.Chemical Science, 10(34):8016–8024, 2019

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation a68f11a7-2920-4521-9886-11fc1a5d035b · outbound

This paper cites Urban, M.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Urban, M

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 0898aa13-c6e9-47df-8cd9-d68df49c9da4 · outbound

This paper cites Lillich, Johanna H.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Lillich, Johanna H

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation bdbfe07f-9c87-49d0-a861-ca1d5e64230c · outbound

This paper cites MTMol- GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.PLOS Computational Biology, 20(6):e1012229, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models MTMol- GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.PLOS Computational Biology, 20(6):e1012229, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 7aa7be8c-2ec0-4db5-bf25-5fa123407daf · outbound

This paper cites A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets.Nature Communications, 15:2657, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets.Nature Communications, 15:2657, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 425819a4-9104-4f16-850d-05953c84f19c · outbound

This paper cites PocketFlow is a data-and- knowledge-driven structure-based molecular generative model.Nature Machine Intelligence, 6:326–337, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models PocketFlow is a data-and- knowledge-driven structure-based molecular generative model.Nature Machine Intelligence, 6:326–337, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 1d1e8dde-59ae-4609-8413-4d841031eff5 · outbound

This paper cites Target-aware 3D molecular generation based on guided equivariant diffusion.Nature Communications, 16:7928, 2025.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Target-aware 3D molecular generation based on guided equivariant diffusion.Nature Communications, 16:7928, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation c65c48b9-aab5-4494-9d6b-ae71723a7c0c · outbound

This paper cites Pocket2Mol: Effi- cient molecular sampling based on 3D protein pockets.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Pocket2Mol: Effi- cient molecular sampling based on 3D protein pockets

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 89b9c4b9-eb54-44c6-8278-6fcadf09a52c · outbound

This paper cites 3D equivariant diffusion for target-aware molecule generation and affinity prediction.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models 3D equivariant diffusion for target-aware molecule generation and affinity prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 11bc8c54-0f32-46b7-8fcc-d3ae31561ab2 · outbound

This paper cites DecompDiff: Diffusion models with decomposed priors for structure- based drug design.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models DecompDiff: Diffusion models with decomposed priors for structure- based drug design

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 0077b8f5-903e-4252-b3bf-65f398c3a216 · outbound

This paper cites MolDiff: Addressing the atom- bond inconsistency problem in 3D molecule diffusion generation.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models MolDiff: Addressing the atom- bond inconsistency problem in 3D molecule diffusion generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 997993df-b0ee-4282-92fd-9d4063846372 · outbound

This paper cites Learning subpocket prototypes for generalizable structure-based drug design.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Learning subpocket prototypes for generalizable structure-based drug design

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 2583a675-5ea2-46b5-a951-aef0204712f3 · outbound

This paper cites Munson, Michael Chen, Audrey Bogosian, Jason F.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Munson, Michael Chen, Audrey Bogosian, Jason F

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 5489118b-9d3c-4239-ad3f-c7d1b7b85d1b · outbound

This paper cites Richard Bickerton, Gaia V.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Richard Bickerton, Gaia V

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation cca1d4c8-ca89-4648-8b88-3df0244fc1ac · outbound

This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.Journal of Cheminfor- matics, 1(1):8, 2009.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.Journal of Cheminfor- matics, 1(1):8, 2009

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 31c05e81-6be1-4b0b-8538-77200a546eab · outbound

This paper cites Extended-connectivity fingerprints.Journal of Chemical Information and Modeling, 50(5):742–754, 2010.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Extended-connectivity fingerprints.Journal of Chemical Information and Modeling, 50(5):742–754, 2010

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 0224aa7e-97ab-4257-9d2e-1f38c8ca2126 · outbound

This paper cites DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal.Nucleic Acids Research, 49(W1):W174–W184, 2021.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal.Nucleic Acids Research, 49(W1):W174–W184, 2021

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 1092f997-54f6-4393-bdfb-9a294bc9d6b6 · outbound

This paper cites PDB-wide collection of binding data: current status of the PDBbind database.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models PDB-wide collection of binding data: current status of the PDBbind database

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation a0e97b96-f4c4-4b3b-86cb-7c31084cd923 · outbound

This paper cites Berman, John Westbrook, Zukang Feng, Gary Gilliland, T.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Berman, John Westbrook, Zukang Feng, Gary Gilliland, T

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 52a53f3e-783b-471c-a013-11ce454ca2d2 · outbound

This paper cites AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic Acids Research, 50(D1):D439–D444, 2022.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic Acids Research, 50(D1):D439–D444, 2022

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 324f12b4-2a45-498d-8ae5-109cb191a250 · outbound

This paper cites P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure.Journal of Cheminformatics, 10(1):39, 2018.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure.Journal of Cheminformatics, 10(1):39, 2018

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation db957b5e-18c9-4e5d-84fb-ab86065d0583 · outbound

This paper cites an unresolved cited work.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 6d545ff8-7259-44fa-8ea2-cc0c18f9d3bb · outbound

This paper cites Equivariant 3D-conditional diffusion model for molecular linker design.Nature Machine Intelligence, 6:417–427, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Equivariant 3D-conditional diffusion model for molecular linker design.Nature Machine Intelligence, 6:417–427, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 61e0ef3e-5772-482a-af11-6d38670848e7 · outbound

This paper cites LinkerNet: Fragment poses and linker co-design with 3D equivariant diffusion.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models LinkerNet: Fragment poses and linker co-design with 3D equivariant diffusion

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 3ec297c6-84ec-4ed4-800d-04bc4fd5d644 · outbound

This paper cites Multi-fidelity active learning with GFlowNets.Transactions on Machine Learning Research, 2024.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Multi-fidelity active learning with GFlowNets.Transactions on Machine Learning Research, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation b501a12a-4ca2-4146-94d3-8ee0e98cfeb7 · outbound

This paper cites Gilson, and Rose Yu.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Gilson, and Rose Yu

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 89427fb3-adb1-4e69-862a-a3a6e8e44250 · outbound

This paper cites Sample-efficient generative molecular design using memory manipulation.Nature Machine Intelligence, 8:449–460, 2026.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Sample-efficient generative molecular design using memory manipulation.Nature Machine Intelligence, 8:449–460, 2026

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 1c43f797-4cce-4fdb-89a0-a6e10b3b1837 · outbound

This paper cites Genetic-guided GFlowNets for sample efficient molecular optimization.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Genetic-guided GFlowNets for sample efficient molecular optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 02a7a817-af15-441a-9b3a-e621b8ba13fa · outbound

This paper cites van der Sloot, Piotr Gai´nski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, and Robert A.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models van der Sloot, Piotr Gai´nski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, and Robert A

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation cd540fa0-5a22-49f2-b9b8-61815b319836 · outbound

This paper cites Bemis and Mark A.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Bemis and Mark A

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 9875abcf-5fbd-4245-a8b7-907fe336a3c2 · outbound

This paper cites an unresolved cited work.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation c9e44482-ab04-4a5d-92a3-2a964e4aa80e · outbound

This paper cites an unresolved cited work.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Observation 9a77fc87-e113-4118-ab64-25961a35c863 · outbound

This paper cites Operationally, REUSE does not perform a single global panel optimization over the union of all decoded molecules seen across the entire run.

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Operationally, REUSE does not perform a single global panel optimization over the union of all decoded molecules seen across the entire run

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-06-29T22:42:26.924232Z

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Pith citing papers

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