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Paper Citation Record · LEDGER

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.02834.

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

pith.paper-citation-record.v1
2607.02834 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:44:20.438683Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation 7648de8f-633c-4e6e-9106-79ff0afa897a · outbound

This paper cites GenMol: A Drug Discovery Generalist with Discrete Diffusion.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization GenMol: A Drug Discovery Generalist with Discrete Diffusion

Reference 1

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Observation 23b39b2c-c187-44e4-aa84-a26e1d0ad09a · outbound

This paper cites Simple Guidance Mechanisms for Discrete Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Simple Guidance Mechanisms for Discrete Diffusion Models

Reference 2

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Observation 1aee5219-0a36-40fc-9fce-9747e8a7fba2 · outbound

This paper cites Diffusion Language Models Are Versatile Protein Learners.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Diffusion Language Models Are Versatile Protein Learners

Reference 3

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Observation 80ebad07-733f-4994-afea-4588a496548d · outbound

This paper cites FlashAffinity: Bridging the Accuracy- Speed Gap in Protein-Ligand Binding Affinity Prediction.bioRxiv, 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization FlashAffinity: Bridging the Accuracy- Speed Gap in Protein-Ligand Binding Affinity Prediction.bioRxiv, 2025

Reference 4

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Observation f019bacb-b988-4629-9e57-e117aea14959 · outbound

This paper cites Boltz-2: Towards accurate and efficient binding affinity prediction.bioRxiv, 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Boltz-2: Towards accurate and efficient binding affinity prediction.bioRxiv, 2025

Reference 5

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Observation cd82fa9e-ab96-4e8d-9775-4a565030d84a · outbound

This paper cites Cambridge University Press, 2020.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Cambridge University Press, 2020

Reference 6

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Observation df650ef5-de48-42ec-b043-04beef79f294 · outbound

This paper cites Con- strained molecular generation via sequential flow model fine-tuning.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Con- strained molecular generation via sequential flow model fine-tuning

Reference 7

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Observation 0150c16b-344e-49b8-b8e8-b3460614b246 · outbound

This paper cites How artificial intelligence is reengineering protein engi- neering.Science, April 2026.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization How artificial intelligence is reengineering protein engi- neering.Science, April 2026

Reference 8

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Observation 7289934e-ceae-45d6-9a63-8d822515bc91 · outbound

This paper cites Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review

Reference 9

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Observation 3cd946f2-7cd1-4aa3-aab0-dea8e9775823 · outbound

This paper cites Wittmann, Frances H.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Wittmann, Frances H

Reference 10

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a738c5f4-4804-4ecd-a2d7-f8d880ca8ed2 · outbound

This paper cites Guiding Generative Models for Protein Design: Prompting, Steering and Aligning, November 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Guiding Generative Models for Protein Design: Prompting, Steering and Aligning, November 2025

Reference 11

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Observation 42804c10-342b-42c0-a844-45278757d26c · outbound

This paper cites Feedback Efficient Online Fine-Tuning of Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Feedback Efficient Online Fine-Tuning of Diffusion Models

Reference 12

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Observation b8853fcc-7868-465a-a34e-b55572ce1620 · outbound

This paper cites Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction

Reference 13

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Observation d9f20b51-bd25-4bcc-854d-9bd17dd2979a · outbound

This paper cites Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design, August 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design, August 2025

Reference 14

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Observation da2f588d-c478-4f21-8585-9b82e420d29c · outbound

This paper cites Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design

Reference 15

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Observation 9179e389-1ae7-4feb-9415-bd2bb5db7a80 · outbound

This paper cites Guiding Generative Protein Language Models with Reinforcement Learning.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Guiding Generative Protein Language Models with Reinforcement Learning

Reference 16

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Observation e2ab0a91-8259-487b-bff4-2adc97710a48 · outbound

This paper cites CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation, April.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation, April

Reference 17

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Observation f97cd8ef-ee5e-4f34-8c02-57e5e64e9ec4 · outbound

This paper cites CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation

Reference 18

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Observation 60aba291-d192-438a-bb7c-48d486570e95 · outbound

This paper cites Molecular De Novo Design through Deep Reinforcement Learning.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Molecular De Novo Design through Deep Reinforcement Learning

Reference 19

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Observation f64d54ef-91bc-4b8e-bbcd-600f2b6caed2 · outbound

This paper cites Functional Alignment of Protein Language Models via Reinforcement Learning with Ex- perimental Feedback.bioRxiv, 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Functional Alignment of Protein Language Models via Reinforcement Learning with Ex- perimental Feedback.bioRxiv, 2025

Reference 20

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Observation bb936ba3-7ab1-42d8-bf52-5e85eb1246b2 · outbound

This paper cites Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning.Advances in Neural Information Processing Systems (NeurIPS 2025), 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning.Advances in Neural Information Processing Systems (NeurIPS 2025), 2025

Reference 21

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Observation dba38994-f566-4e4c-8bcd-734d7b12b91e · outbound

This paper cites Efficient tail-aware generative optimization via flow model fine-tuning.arXiv preprint arXiv:2602.16796, 2026.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Efficient tail-aware generative optimization via flow model fine-tuning.arXiv preprint arXiv:2602.16796, 2026

Reference 22

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Observation 73c25ce6-b3f1-46cb-9191-56fed5cccc8a · outbound

This paper cites Provable maximum entropy manifold exploration via diffusion models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Provable maximum entropy manifold exploration via diffusion models

Reference 23

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Observation 9433e621-6738-4b65-85f6-61fa9d492456 · outbound

This paper cites Verifier- Constrained Flow Expansion for Discovery Beyond the Data, February 2026.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Verifier- Constrained Flow Expansion for Discovery Beyond the Data, February 2026

Reference 24

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Observation 38dbc5bd-8fc8-4ea6-b6eb-0852f295d3c4 · outbound

This paper cites Thompson.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Thompson

Reference 25

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Observation c6f3c141-50e5-427c-9e07-c2a902d4200a · outbound

This paper cites An empirical evaluation of Thompson sampling.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization An empirical evaluation of Thompson sampling

Reference 26

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Observation 3d4b1fd2-08fb-4caa-b6f2-a650d9e0f63c · outbound

This paper cites Rusu, Joel Veness, Marc G.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Rusu, Joel Veness, Marc G

Reference 27

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Observation a2835aec-4fb7-47c3-b1e8-c9b4452d75aa · outbound

This paper cites Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

Reference 28

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Observation 5315abf4-931b-4707-9087-b41ea4a3e38d · outbound

This paper cites Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control

Reference 29

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Observation 6be09644-d3fe-4e20-acab-f3ce216433f5 · outbound

This paper cites A Tutorial on Thompson Sampling.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization A Tutorial on Thompson Sampling

Reference 30

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Observation 2fb23269-4244-479c-9ad0-75a38d832a6e · outbound

This paper cites Tyrrell Rockafellar and Stanislav Uryasev.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Tyrrell Rockafellar and Stanislav Uryasev

Reference 31

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Observation f23b26bf-9c29-4990-b824-60a405a234b1 · outbound

This paper cites Tyrrell Rockafellar and Stanislav Uryasev.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Tyrrell Rockafellar and Stanislav Uryasev

Reference 32

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Observation a471a757-bfb5-4761-afb4-730c0d7821e9 · outbound

This paper cites Large Language Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Large Language Diffusion Models

Reference 33

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Observation f2534dad-509f-416c-8692-1e51def35a5b · outbound

This paper cites Prioritized experience replay.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Prioritized experience replay

Reference 34

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Observation 79fd2911-d05b-4396-aad0-7d6c5a2077cc · outbound

This paper cites RDKit: Open-source cheminformatics software.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization RDKit: Open-source cheminformatics software

Reference 35

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Observation 5c1b680d-a09c-43d1-a579-16e702287246 · outbound

This paper cites ODesign: A World Model for Biomolecular Interaction Design, October 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization ODesign: A World Model for Biomolecular Interaction Design, October 2025

Reference 36

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Observation 29719364-3c6d-4c92-b25f-1f696d7acdfa · outbound

This paper cites Tadmor, Richard G.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Tadmor, Richard G

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:4679a4c8fa95e8090e84bc1853da8f77cdc32b69a8ffa6b2d804407be42d6997

Observation b97d9bcb-4555-4ec8-aba8-1dccb3abc3a4 · outbound

This paper cites Structure-based Drug Design with Equivariant Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Structure-based Drug Design with Equivariant Diffusion Models

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:3ce958905aceb5a5367b5033f80cc1774d73b7e4e3966e7ed5f7631c7cbdb5b1

Observation fb5bf470-2c0f-408b-b419-f66d4ba8d474 · outbound

This paper cites 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction, March.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction, March

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:9b32164b5d580855f3e7f2f5d7f8b0d96b2ff8f00f13753e903e58cac9f73c8e

Observation 7dbaed53-601f-46bf-88ec-8e6d9f2cee9f · outbound

This paper cites 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:3ce09e99a3c026fcf23fc68cd4359d74b3d727e98fe2ac977c44ba583b1982d0

Observation ed9d86bb-a28d-405a-9eae-256b8e4852c8 · outbound

This paper cites Batey, Mike Tyers, Michał Koziarski, and Cheng-Hao Liu.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Batey, Mike Tyers, Michał Koziarski, and Cheng-Hao Liu

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:f49a5d20f42f24fe675ce522b90a6d61dc9dfaf792ee47ac9278b7b61169cec2

Observation 6252beea-5f1f-4b22-857e-70f56ebf00db · outbound

This paper cites ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:bc966c070e847b8b57b7f7a4d1585ded5761f300953dfe5dace81e11a0bf5759

Observation 8a2872db-f901-48c1-ac91-8b8bbe0de020 · outbound

This paper cites Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations?Journal of Cheminformatics, 7:20, 2015.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations?Journal of Cheminformatics, 7:20, 2015

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:8e499b439b8e7fb33c77baf99b9f7eee685ba851356017b074efe8636c5c95e2

Observation 8079bd72-0e53-415b-8ab6-a3e6b6e3de9f · outbound

This paper cites Richard Bickerton, Gaia V.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Richard Bickerton, Gaia V

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:37fa2214b44fef2433bd4d53a4a34202394b3de0b09422aee0abed20a61b8f50

Observation 3c9a2ede-62ae-4076-8f27-1f1b8170e938 · outbound

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

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.Journal of Cheminfor- matics, 1:8, 2009

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:9876c570026e26cbb62032497b214499a5326377e4a649682606b878ee3fbd85

Observation cbf47b26-d1f1-42de-92df-2461124440eb · outbound

This paper cites Test-Time Scaling of Diffusion Models via Noise Trajectory Search.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Test-Time Scaling of Diffusion Models via Noise Trajectory Search

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:9ba51444efa06c544c37c8ee7bf936dd0851607115ec6f778801bfd943775bde

Observation 7b47d1aa-d6b7-4ffb-b30e-997155db995a · outbound

This paper cites TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion, September 2025.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion, September 2025

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:e7994ae1db511bbd4b020967bf148bb330c787fcb3b506b5163df487624fc181

Observation a76c16bb-b5c8-449d-8d5c-e266f1929dda · outbound

This paper cites Discrete Feynman-Kac Correctors, January.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Discrete Feynman-Kac Correctors, January

Reference 49

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:6f826a7a2ad307c02b4450a65bc8a01bc6f1575d70fc4d752531423377df8ea4

Observation af27eeb9-c0c8-4b56-b647-c6e1b2706b3b · outbound

This paper cites arXiv:2601.10403 [cs].

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization arXiv:2601.10403 [cs]

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:340d4956b3160033a3879ba3a2ec5009310ea20c19da75c825b2531604ee9731

Observation 4d849135-881e-4e3d-9a4c-3c9c77471b92 · outbound

This paper cites Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:6f4b4c7f804a0157fb0d1ec9f705c02b10424af1146671495a3607cb9456fcc8

Observation 375dbb89-138c-4848-82e2-a1e16cf3314c · outbound

This paper cites Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, and Karsten Kreis.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, and Karsten Kreis

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:4c7cc01c7f297d82315e20d31f1777f1c282e73a2f7af63234dc6603cbb10339

Observation a5000fda-f8f3-4922-83d8-8d27cee76970 · outbound

This paper cites A General Framework for Inference-time Scaling and Steering of Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization A General Framework for Inference-time Scaling and Steering of Diffusion Models

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:a50351b3b08dac1640ad5298aa566170744d48a7eaa22704cbaae6ff6c353e1d

Observation 04b5436b-d0ef-49f2-9ccb-298aa1958e89 · outbound

This paper cites Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:92472e8fde5ed9ca5f1dfbf7f94e9f4af81b048e6e129afbe69fe805fdff756a

Observation 01e68373-12be-4bc7-98c7-87b8955efd28 · outbound

This paper cites Unlocking Guidance for Discrete State-Space Diffusion and Flow Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:c6671041e2e03408e12aadd67ae62946e172ce8ed7f4ec9759f6b95db3b37680

Observation dc7a9780-d2e3-4cd0-9b5c-2aa5642b2ce1 · outbound

This paper cites Frey, Tim G.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Frey, Tim G

Reference 56

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:e2360ab936c5ac3a580db689d82bf6dbdb1e9400d47b3b7d3a8e71decfb05ed5

Observation da633402-8864-4452-a3dc-56d1fc7137b6 · outbound

This paper cites Protein Design with Guided Discrete Diffusion.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Protein Design with Guided Discrete Diffusion

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:b8d1ce269b76bc233cbd28235b4868005b2375273bec8e7720a21f6517a3030c

Observation e8889f44-6c8b-4161-afc6-d27b5c3a55ee · outbound

This paper cites Oltrogge, David F.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Oltrogge, David F

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:2abd9a3cecfe562dd25eb1a96c448f1fba9ee93b343d50f277dc35b266ae8ead

Observation 6c6b27c7-11c6-431c-ae2b-b0e17eac62e9 · outbound

This paper cites Gao, and Wing Hung Wong.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Gao, and Wing Hung Wong

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:f9c4603c061388003fb3b70dfbcf6feda66ef015751e9afbff64ff487a917d83

Observation e156980d-64ce-46c8-b0c9-4b313a46b520 · outbound

This paper cites Dynamic Search for Inference-Time Alignment in Diffusion Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Dynamic Search for Inference-Time Alignment in Diffusion Models

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:bd51de54f0d6559d7669a6fb799c7122ab757b4a8d556018eec8202546f3d48c

Observation 7c7cde38-fbc7-4312-b9c9-b2ca3d196150 · outbound

This paper cites Krishnapriyan.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Krishnapriyan

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verified exact
doi, observed 2026-07-12T06:48:34.788176Z

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:9157b8894059f1fd09620e92220bc36ef5049cae9d811227b910d04d4ec16878

Observation 7328b80e-db2e-4ab3-b449-9e4ded0c899b · outbound

This paper cites Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation

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verified exact
local_arxiv, observed 2026-07-12T06:48:34.829366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:155cc495ba459cce5e4b5a57ce44276de3162b6de161881e02e947dd92966cb6

Observation b3429398-152b-45ec-80da-1db5e8c1f10b · outbound

This paper cites PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:ea315a0c5a20e6b0080d30c2cc5558d07e87e94c0f0e5eb714828af8a465fe21

Observation 7ab5cec6-74bb-4fb8-9268-a63e82af0d18 · outbound

This paper cites Gotta be SAFE: A New Framework for Molecular Design.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Gotta be SAFE: A New Framework for Molecular Design

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:1d7a0436c75c1892dfe41fadbbfab685f6cd829715e60b1bf9bd0edc9d91fb75

Observation bb6c3f35-88e9-4b17-9d15-817e3f3084ad · outbound

This paper cites Rush, Yair Schiff, Justin T.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Rush, Yair Schiff, Justin T

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:4f20b476af881a1334208342671bc7399f8f735f87a7167deb8b3ceecbd2c4a8

Observation fbb59ce4-c27f-48af-964b-5f1442dc50a7 · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Simple and Effective Masked Diffusion Language Models

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:029353dce43366ac123c34c0a343bd004b5088c171455b9caf1f14ccb08a1fb1

Observation fcd6f3cc-8ba3-4a81-ac04-defe7bedba43 · outbound

This paper cites Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:c9bf3abd68de81f13e8d7397ee7d600d6de9cc76bcd192b6e149521150abb64b

Observation 8e61a8a6-1037-4e50-8012-633abd786ce2 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Diffusion Posterior Sampling for General Noisy Inverse Problems

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source=pdf_text observed=2026-07-12T06:44:20.438683Z digest=sha256:d4163643dfe71f9fb46013f0a6c3ed7b690721611f6bb1166d5503b8903ff223

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