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Paper Citation Record · LEDGER

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.03513.

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

pith.paper-citation-record.v1
2607.03513 v1

Coverage vector

measured 63 of 63 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-12T01:58:33.169910Z

measured 63 of 63 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.

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measured 0 of 1 external citation measurements

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Reference resolution

63 of 63 outbound references displayed

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Outbound references

Observation 87c259a7-8a86-4592-8e2d-df97d3e61287 · outbound

This paper cites Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules

Reference 1

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Observation f5b303d5-ec90-47c0-ab08-d955fdc5e976 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in Neural Information Processing Systems , volume=

Reference 2

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Observation 8bdaf146-fb5d-42d8-b7ea-ef1c41623e01 · outbound

This paper cites Highly accurate protein structure prediction with.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Highly accurate protein structure prediction with

Reference 3

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Observation ac47ce59-e112-40f9-8596-106dd469faab · outbound

This paper cites Accurate structure prediction of biomolecular interactions with.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Accurate structure prediction of biomolecular interactions with

Reference 4

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Observation 302d6c76-a0b1-4517-afe2-6978ddd7801e · outbound

This paper cites Nature Machine Intelligence , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Nature Machine Intelligence , volume=

Reference 5

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This paper cites an unresolved cited work.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 6

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Observation c071f178-743b-47d0-a857-716911f4c684 · outbound

This paper cites Boltzmann generators:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Boltzmann generators:

Reference 7

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Observation 4ca98cfe-2563-4db5-b0de-98570cfc6247 · outbound

This paper cites The Journal of Chemical Physics , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms The Journal of Chemical Physics , volume=

Reference 8

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Observation deb077ea-f516-4f53-8290-da54d91c44ed · outbound

This paper cites International Conference on Learning Representations , year=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms International Conference on Learning Representations , year=

Reference 9

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Observation 8c4b704b-8ccf-41eb-9edc-b63f19c6c8f8 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in Neural Information Processing Systems , year=

Reference 10

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 11

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Observation 69992c67-78fd-478f-b6aa-712861fc4807 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation 7e8d8aac-2a24-4d1a-934e-eeaf62297b3a · outbound

This paper cites Boltz-2:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Boltz-2:

Reference 13

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Observation c709a9e2-b8d1-4e8f-9520-bd872d61638a · outbound

This paper cites Science , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Science , volume=

Reference 14

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This paper cites The Journal of Chemical Physics , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms The Journal of Chemical Physics , volume=

Reference 15

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Journal of chemical information and modeling , volume=

Reference 16

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Observation 0abda2e2-70fe-4b62-89e7-f310031d5583 · outbound

This paper cites Neural thermodynamic integration:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Neural thermodynamic integration:

Reference 17

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This paper cites The Journal of Chemical Physics , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms The Journal of Chemical Physics , volume=

Reference 18

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Observation d440b4f7-d621-450c-9b7c-10d7a284846c · outbound

This paper cites arXiv preprint arXiv:2504.11516 , year=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms arXiv preprint arXiv:2504.11516 , year=

Reference 19

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 20

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms How well does

Reference 21

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This paper cites arXiv preprint arXiv:2603.17633 , year=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms arXiv preprint arXiv:2603.17633 , year=

Reference 22

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 23

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Observation 273df784-85b4-41d2-8c1f-bd854dc5d890 · outbound

This paper cites All-atom diffusion transformers:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms All-atom diffusion transformers:

Reference 24

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This paper cites Advances in Neural Information Processing Systems , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in Neural Information Processing Systems , volume=

Reference 25

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Observation aad3e389-8e86-4fce-83a5-0128be4b647c · outbound

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Classifier-Free Diffusion Guidance

Reference 26

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Adjoint matching:

Reference 27

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms A General Framework for Inference-time Scaling and Steering of Diffusion Models

Reference 28

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms High-temperature equation of state by a perturbation method

Reference 29

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Efficient estimation of free energy differences from

Reference 30

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Nonphysical sampling distributions in

Reference 31

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Exchange

Reference 32

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Understanding Molecular Simulation:

Reference 33

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Science , volume=

Reference 34

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Communications of the ACM , volume=

Reference 35

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Journal of the American Chemical Society , volume=

Reference 36

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Science , volume=

Reference 37

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Alchemical free energy calculations:

Reference 38

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 39

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 40

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Observation bc691bcd-2873-4b0a-9d90-fa66dda0e789 · outbound

This paper cites Chemprop:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Chemprop:

Reference 41

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Observation af9974a1-bea3-455b-8a11-816eedce885d · outbound

This paper cites Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the

Reference 42

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Observation e912db0e-69f8-457f-a602-fd775662e910 · outbound

This paper cites an unresolved cited work.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 43

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Observation 08f26ab6-7536-493c-a934-92da321ba8cf · outbound

This paper cites Chemical Engineering Journal , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Chemical Engineering Journal , volume=

Reference 44

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Observation c3a6b3c1-263c-4547-b6cc-0457d72f4425 · outbound

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 45

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Observation 18c3ff75-8ce8-401d-bab5-8f2a41e0bb82 · outbound

This paper cites 2007 , publisher=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms 2007 , publisher=

Reference 46

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Observation dae63a65-2a44-4ee5-a9b7-7c4702f1148e · outbound

This paper cites Orb-v3: atomistic simulation at scale.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Orb-v3: atomistic simulation at scale

Reference 47

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Observation f3c951fb-47fb-4e94-b533-97991082900e · outbound

This paper cites Advances in neural information processing systems , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in neural information processing systems , volume=

Reference 48

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Observation 95ab4169-99d1-4cd6-9df2-5461e42987c8 · outbound

This paper cites an unresolved cited work.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Unresolved cited work

Reference 49

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Observation 2cdb1d63-4f74-46d0-b944-5686ed8752a7 · outbound

This paper cites Briefings in bioinformatics , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Briefings in bioinformatics , volume=

Reference 50

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Observation 6e249679-2f82-4736-96a6-cc96aa1e6bbb · outbound

This paper cites Relative binding free energy calculations in drug discovery:.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Relative binding free energy calculations in drug discovery:

Reference 51

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Observation 928870fb-ff47-4c07-ba72-03823cf32236 · outbound

This paper cites ACS Medicinal Chemistry Letters , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms ACS Medicinal Chemistry Letters , volume=

Reference 52

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Observation f8c88901-2af7-4fb3-b408-e36af15aec72 · outbound

This paper cites Advances in neural information processing systems , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Advances in neural information processing systems , volume=

Reference 53

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Observation 53bad808-57f9-463f-a090-1e2a498e80ab · outbound

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AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Mathematical correlations for describing solute transfer into functionalized alkane solvents containing hydroxyl, ether, ester or ketone solvents

Reference 54

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Observation 7875cdfe-2df6-46f1-b8df-98b1c9d32b39 · outbound

This paper cites Minnesota Solvation Database ( MNSOL ) version 2012.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Minnesota Solvation Database ( MNSOL ) version 2012

Reference 55

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source=arxiv_source observed=2026-07-12T01:58:33.169910Z digest=sha256:470dea4f409a7271db5959ae94e111835751495ff54feca94cb1ecac9e6c2020

Observation f97863fc-4606-4d9f-8b74-01842450aa70 · outbound

This paper cites Estimation of solvation quantities from experimental thermodynamic data: Development of the comprehensive CompSol databank for pure and mixed solutes.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Estimation of solvation quantities from experimental thermodynamic data: Development of the comprehensive CompSol databank for pure and mixed solutes

Reference 56

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Observation 2f7c7e36-f1fc-4c49-936a-abe2284b0cb2 · outbound

This paper cites Large-scale assessment of binding free energy calculations in active drug discovery projects.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Large-scale assessment of binding free energy calculations in active drug discovery projects

Reference 57

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Observation a5ea89f5-7d89-4b38-82b6-94c61afa7c2f · outbound

This paper cites Accuracy comparison of several common implicit solvent models and their implementations in the context of protein-ligand binding.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Accuracy comparison of several common implicit solvent models and their implementations in the context of protein-ligand binding

Reference 58

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Observation a1caa045-a360-4829-a9e8-847ef75c58e1 · outbound

This paper cites Are AMBER force fields and implicit solvation models additive? A folding study with a balanced peptide test set.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Are AMBER force fields and implicit solvation models additive? A folding study with a balanced peptide test set

Reference 59

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Observation 4059e82b-b7d8-47bb-9083-bbf6a6148c57 · outbound

This paper cites A modified TIP3P water potential for simulation with Ewald summation.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms A modified TIP3P water potential for simulation with Ewald summation

Reference 60

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Observation 2483ba37-a8b2-4365-867a-1b25c44e1c61 · outbound

This paper cites The Journal of chemical physics , volume=.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms The Journal of chemical physics , volume=

Reference 61

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Observation 16721f4e-73e1-49e9-b2ea-69fd25238931 · outbound

This paper cites 2022 , howpublished =.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms 2022 , howpublished =

Reference 62

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Observation dd4d3e2a-3cb3-4a0e-b8ed-7e8d0cc2cf08 · outbound

This paper cites The Open Free Energy library.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms The Open Free Energy library

Reference 63

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