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Paper Citation Record · LEDGER

Scalable Autoregressive 3D Molecule Generation

As of 17 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 5 inbound Pith citation observations for arXiv:2505.13791.

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

pith.paper-citation-record.v1
2505.13791 v2

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:06.532164Z

measured 93 of 93 standing notices

One-hop event checks from named stored sources.

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:22:12.446051Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:47:22.987838Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact3
  • verified fuzzy13
  • unresolved72
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d0f07df-b07a-4de9-9e86-84b0131318a7 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.

Scalable Autoregressive 3D Molecule Generation Accurate structure prediction of biomolecular interactions with alphafold 3

Reference 1

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source=arxiv_source observed=2026-08-15T20:16:06.231549Z digest=sha256:441d75379c0fceb321c9987faf3601d84ef7965b3a38dbef2d34cef1b0f06633

Observation a9586fac-b4c4-4acd-b288-a3b62f46f05f · outbound

This paper cites De novo design of protein structure and function with rfdiffusion.

Scalable Autoregressive 3D Molecule Generation De novo design of protein structure and function with rfdiffusion

Reference 2

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source=arxiv_source observed=2026-08-15T20:16:06.235346Z digest=sha256:ffb92dade589e2856a73b2ca627af442fbdebfcd1a05551c1d5ba36597bb7298

Observation 1f5ae58f-ee3c-4e8b-bcc7-28a6d16c898d · outbound

This paper cites A generative model for inorganic materials design.

Scalable Autoregressive 3D Molecule Generation A generative model for inorganic materials design

Reference 3

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source=arxiv_source observed=2026-08-15T20:16:06.238528Z digest=sha256:e06b92612d7784f680545379c89f1924a0f0eec83eda60ae2028b2790e557a6a

Observation 1a1c5109-770b-4e48-acbd-4dd942152091 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

Scalable Autoregressive 3D Molecule Generation Equivariant diffusion for molecule generation in 3d

Reference 4

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source=arxiv_source observed=2026-08-15T20:16:06.241812Z digest=sha256:862732f226b9503aaf59d735a9faf3cb5ba57081c1d0071112bfc734c9a5f787

Observation c6353a9b-5154-4537-a01e-18afb5b6aaee · outbound

This paper cites Equivariant flow matching with hybrid probability transport for 3d molecule generation.

Scalable Autoregressive 3D Molecule Generation Equivariant flow matching with hybrid probability transport for 3d molecule generation

Reference 5

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source=arxiv_source observed=2026-08-15T20:16:06.244604Z digest=sha256:2d45bf9efe51c7468b76246dfbd3757377d0054e8907b93b0f3388a448822bfa

Observation 260e47b1-1aca-497e-84d7-a9af27dc72e2 · outbound

This paper cites SymDiff: Equivariant Diffusion via Stochastic Symmetrisation.

Scalable Autoregressive 3D Molecule Generation SymDiff: Equivariant Diffusion via Stochastic Symmetrisation

Reference 6

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source=arxiv_source observed=2026-08-15T20:16:06.247601Z digest=sha256:8dd7bfa838946a1f269a67a5e824d5deca0fb44273c1b39f81e3b84ccb20a210

Observation a75aa89f-bb44-4f6b-a0c7-f7a1c6cd0d6b · outbound

This paper cites All-atom Diffusion Transformers: Unified generative modelling of molecules and materials.

Scalable Autoregressive 3D Molecule Generation All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Reference 7

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source=arxiv_source observed=2026-08-15T20:16:06.251020Z digest=sha256:ec85bca18ab2510ef2447b6d2cd1815da7c6cb50e720fa69be2b1ee58c756086

Observation 3304b399-7ab0-4802-bc82-de22831f7b4e · outbound

This paper cites Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules.

Scalable Autoregressive 3D Molecule Generation Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

Reference 8

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source=arxiv_source observed=2026-08-15T20:16:06.254555Z digest=sha256:8f25af683196ec22faf98ba7efa525f9d3f7da6869b56f7317f153b31089b559

Observation bb4190d6-219e-4716-bfe4-7c2c371bc2d0 · outbound

This paper cites An autoregressive flow model for 3d molecular geometry generation from scratch.

Scalable Autoregressive 3D Molecule Generation An autoregressive flow model for 3d molecular geometry generation from scratch

Reference 9

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source=arxiv_source observed=2026-08-15T20:16:06.257917Z digest=sha256:5562d7a3918d19c389a88ec3f9881f6ce0a11b9b60ea565cde8799e7f32b9c1c

Observation 9821842a-559f-49cb-ba65-27752a002e3b · outbound

This paper cites Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation.

Scalable Autoregressive 3D Molecule Generation Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation

Reference 10

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source=arxiv_source observed=2026-08-15T20:16:06.261483Z digest=sha256:d478a94b686ab59ed62cfdf5957bfa268cb3cee6f4718fe86a0aa6176746bff2

Observation 0935c2db-6f10-4df8-a9ee-cdb90675f9ca · outbound

This paper cites Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files.

Scalable Autoregressive 3D Molecule Generation Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 11

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source=arxiv_source observed=2026-08-15T20:16:06.265206Z digest=sha256:8e26742ddb3fda9f64e0f66fedf42a1951944e1284f5174e438bf9dda097bc7b

Observation 7c594657-0017-49f1-bb2f-a46ff780d984 · outbound

This paper cites Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates.

Scalable Autoregressive 3D Molecule Generation Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:16:06.984155Z

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=arxiv_source observed=2026-08-15T20:16:06.268764Z digest=sha256:efa9de9956f77bd5a784d6591bd2286458e31300206513272dfe3d8e50be3da4

Observation 20d3fb56-0549-4b7d-b752-5cdd4ecdf6b8 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Scalable Autoregressive 3D Molecule Generation Autoregressive Image Generation without Vector Quantization

Reference 13

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source=arxiv_source observed=2026-08-15T20:16:06.272362Z digest=sha256:60f5f01a24f44d3f6f56d842c84ad8597678c693ea95e49e79726d0683963910

Observation 6b0f0ec7-4c31-4eb0-b598-7724c6a15006 · outbound

This paper cites E (n) equivariant normalizing flows.

Scalable Autoregressive 3D Molecule Generation E (n) equivariant normalizing flows

Reference 14

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source=arxiv_source observed=2026-08-15T20:16:06.275889Z digest=sha256:c9a9bf3b7ec3525f578f89b89044951d30b450466be450f9c8b2cfbb4596a184

Observation db24c4d1-6394-4c96-ae3d-21fc9868e992 · outbound

This paper cites Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks.

Scalable Autoregressive 3D Molecule Generation Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Reference 15

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source=arxiv_source observed=2026-08-15T20:16:06.279088Z digest=sha256:f2c2806b5d916d5bfb371029315cb63b8423c34706e5de7ef6f6a7f7b92c6e4f

Observation b6f77226-b518-416a-83b7-6d65eb4d92cb · outbound

This paper cites Geometric latent diffusion models for 3d molecule generation.

Scalable Autoregressive 3D Molecule Generation Geometric latent diffusion models for 3d molecule generation

Reference 16

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source=arxiv_source observed=2026-08-15T20:16:06.282529Z digest=sha256:86f1309e1d46db610d2c337a8897cb0462e8b5d45112c5ca110ca3b7a27ca251

Observation 072c6149-b57e-4c59-9130-25a66b151368 · outbound

This paper cites Geometric Representation Condition Improves Equivariant Molecule Generation.

Scalable Autoregressive 3D Molecule Generation Geometric Representation Condition Improves Equivariant Molecule Generation

Reference 17

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source=arxiv_source observed=2026-08-15T20:16:06.285927Z digest=sha256:7fcae36f4367db4f44c44b4176a9b5d781015139885ed8d3fc5be6ee82a82fb7

Observation 387c7ecd-7da5-48b5-ad7e-6bea4ebbfaa7 · outbound

This paper cites Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport.

Scalable Autoregressive 3D Molecule Generation Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport

Reference 18

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source=arxiv_source observed=2026-08-15T20:16:06.289647Z digest=sha256:d0e8f1696f99287cffc8bee997d7384cd2e0f62aa7109cb9de87d15cccd26473

Observation de895c9c-895a-449f-a36e-9e02b67fe910 · outbound

This paper cites 3d molecule generation by denoising voxel grids.

Scalable Autoregressive 3D Molecule Generation 3d molecule generation by denoising voxel grids

Reference 19

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source=arxiv_source observed=2026-08-15T20:16:06.293301Z digest=sha256:358fc0feaae04a434deede46389befc2df7ceb23987e04bd99feb9f5d8b25f52

Observation cd71ed92-3994-4e2e-8459-231cd30fa10c · outbound

This paper cites Score-based 3D molecule generation with neural fields.

Scalable Autoregressive 3D Molecule Generation Score-based 3D molecule generation with neural fields

Reference 20

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local_arxiv, observed 2026-08-15T20:16:06.925067Z

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=arxiv_source observed=2026-08-15T20:16:06.296492Z digest=sha256:b8a90da0c064353094827a3ee77077e4f26d0b2c36483cda0a54d3752904ed49

Observation 13b0f162-b607-41ac-ace4-19b38c7ee2cd · outbound

This paper cites Generating 3 D molecules for target protein binding.

Scalable Autoregressive 3D Molecule Generation Generating 3 D molecules for target protein binding

Reference 21

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raw_fallback, observed 2026-08-15T20:16:07.410487Z

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=arxiv_source observed=2026-08-15T20:16:06.299980Z digest=sha256:64d91c899a21c77baaa6458640ab5ebf9a380f125152ff2a890a64d0f826d424

Observation 9b1c1963-7c5c-4d3f-8e39-a69cb69268cf · outbound

This paper cites Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

Scalable Autoregressive 3D Molecule Generation Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 22

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source=arxiv_source observed=2026-08-15T20:16:06.302943Z digest=sha256:319b35a4ba0b69cc63b86c7b5e32766edbde78a1f4afa973a29fc3a9aded8ab4

Observation 4b803682-ff31-47a1-88a0-2d39b189dcd6 · outbound

This paper cites BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning.

Scalable Autoregressive 3D Molecule Generation BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning

Reference 23

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source=arxiv_source observed=2026-08-15T20:16:06.306319Z digest=sha256:5c2fb80d735480eb85e85d8ee4a0466e32341ae327cc25c8dc378205db812d41

Observation a84c1ed4-03ab-469c-a699-b7e125e990ff · outbound

This paper cites Large language models are innate crystal structure generators.

Scalable Autoregressive 3D Molecule Generation Large language models are innate crystal structure generators

Reference 24

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source=arxiv_source observed=2026-08-15T20:16:06.310160Z digest=sha256:220f367bbfa4dae812e7aca6d19a7a3444f07529eb6bf8f72dc8f0b3b0eeec1c

Observation d4844c98-5d6e-4c9a-87f1-52e3018c2d8e · outbound

This paper cites 3dsmiles-gpt: 3d molecular pocket-based generation with token-only large language model.

Scalable Autoregressive 3D Molecule Generation 3dsmiles-gpt: 3d molecular pocket-based generation with token-only large language model

Reference 25

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raw_fallback, observed 2026-08-15T20:16:07.397694Z

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=arxiv_source observed=2026-08-15T20:16:06.314186Z digest=sha256:9262052dc8e220ee4113d95fa10bf0ed0998d2881661a22c1cd60c0298415a96

Observation d4e27062-8345-4d8a-ac86-e1fb2a66a046 · outbound

This paper cites Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting.

Scalable Autoregressive 3D Molecule Generation Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting

Reference 26

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source=arxiv_source observed=2026-08-15T20:16:06.317924Z digest=sha256:9494d5b38b99385c65266079adcf47285041a52f285b1e48cf507ba7763c987b

Observation f11cde99-722d-417c-9a63-7ce98ec565ab · outbound

This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Scalable Autoregressive 3D Molecule Generation Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 27

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source=arxiv_source observed=2026-08-15T20:16:06.320502Z digest=sha256:119a53eb1a76c62735b3b45b94562cd5ce76cccce58541a0dbfb6b362a377d34

Observation 076ae48b-189d-497e-b1cf-5042f4fdd4de · outbound

This paper cites JetFormer: An Autoregressive Generative Model of Raw Images and Text.

Scalable Autoregressive 3D Molecule Generation JetFormer: An Autoregressive Generative Model of Raw Images and Text

Reference 28

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source=arxiv_source observed=2026-08-15T20:16:06.323307Z digest=sha256:f2667716b7ed033f6552ca329b785fad30e11c5eef34f4e9c050fe7b07de49d0

Observation cb1e4f2e-83ec-4e40-9cfa-94c4927e7a1b · outbound

This paper cites Trans-dimensional generative modeling via jump diffusion models.

Scalable Autoregressive 3D Molecule Generation Trans-dimensional generative modeling via jump diffusion models

Reference 29

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raw_fallback, observed 2026-08-15T20:16:07.377292Z

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=arxiv_source observed=2026-08-15T20:16:06.326846Z digest=sha256:f2b3b0226e4d773b380ef074955aa15ccebfb20b43ce8dae7e11f4d96d24ea65

Observation 4edd2aa5-1702-48be-892c-1d3776430dcd · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Scalable Autoregressive 3D Molecule Generation Fourier features let networks learn high frequency functions in low dimensional domains

Reference 30

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source=arxiv_source observed=2026-08-15T20:16:06.329950Z digest=sha256:947567e6396a16e5410911c7f89dcf4f09a099d919063963841f73fb6a49997c

Observation 6204eff9-7625-45cb-ad45-e3bae6bbdd16 · outbound

This paper cites Attention is all you need.

Scalable Autoregressive 3D Molecule Generation Attention is all you need

Reference 31

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Observation fd83db96-8341-45a0-ac18-abd9b7bf455e · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Scalable Autoregressive 3D Molecule Generation Elucidating the design space of diffusion-based generative models

Reference 32

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Observation 4ff76959-2bb6-4dc7-9c73-6ce459a3e536 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Scalable Autoregressive 3D Molecule Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 33

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Observation 04e0c366-c9ca-4806-ad09-cd3cdecc3e88 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Scalable Autoregressive 3D Molecule Generation A connection between score matching and denoising autoencoders

Reference 34

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source=arxiv_source observed=2026-08-15T20:16:06.342802Z digest=sha256:520a072f04eb1837e973840f189dc54ecfd92030a004ea3ce46504b508b16b44

Observation 6b4c277d-98d6-4231-9882-c2cee703f5d6 · outbound

This paper cites Tweedie’s formula and selection bias.

Scalable Autoregressive 3D Molecule Generation Tweedie’s formula and selection bias

Reference 35

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source=arxiv_source observed=2026-08-15T20:16:06.346000Z digest=sha256:aebf9327a335950d384a7a117031f1cddcc2787443145fdff9bfa80f5bc8fc98

Observation 86cdc231-c5c8-422f-ba4f-3b23ffa60860 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Scalable Autoregressive 3D Molecule Generation FiLM: Visual Reasoning with a General Conditioning Layer

Reference 36

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source=arxiv_source observed=2026-08-15T20:16:06.349211Z digest=sha256:dc3da0b601fb9b23cfcd7489e1961a52bc90680c476c09ff0d045054aad5fb85

Observation 5c8b1a7f-8e4f-4ee4-ae09-716003f7adfb · outbound

This paper cites Scalable diffusion models with transformers.

Scalable Autoregressive 3D Molecule Generation Scalable diffusion models with transformers

Reference 37

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source=arxiv_source observed=2026-08-15T20:16:06.352838Z digest=sha256:ea842288a3bdea2b3e3550267607909e783b5ed8221f0edfce9318d19a4cd52a

Observation b0ba7d92-211b-4650-8b36-0ef67f9ff279 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Scalable Autoregressive 3D Molecule Generation Deep Residual Learning for Image Recognition

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.356054Z digest=sha256:8f5366d18f652799144e1ab22560fbca37b0607d44740ebe5c20be76d1ce0618

Observation 14683bcd-0eb6-4ad3-b7fe-19c2bdcdf307 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Scalable Autoregressive 3D Molecule Generation FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 39

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source=arxiv_source observed=2026-08-15T20:16:06.359470Z digest=sha256:d7562273053386e1df0f0ad3f7e5437aad9b6a91a9f80d83acfc2a0fedf807ad

Observation decbcab2-4f44-4e57-ab98-a81d610073ef · outbound

This paper cites Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation.

Scalable Autoregressive 3D Molecule Generation Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation

Reference 40

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no resolver link, observed 2026-08-15T20:16:06.362808Z

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source=arxiv_source observed=2026-08-15T20:16:06.362808Z digest=sha256:dc0708dc65c177f6d5b92c58544c6d7905fcf19cf3b2510f0f332f49b350dcbb

Observation d1e426c1-7f64-4afa-a0ed-402c559f0cb1 · outbound

This paper cites Bio2Token: All-atom tokenization of any biomolecular structure with Mamba.

Scalable Autoregressive 3D Molecule Generation Bio2Token: All-atom tokenization of any biomolecular structure with Mamba

Reference 41

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no resolver link, observed 2026-08-15T20:16:06.366077Z

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source=arxiv_source observed=2026-08-15T20:16:06.366077Z digest=sha256:e0b8d24ecb1af9046a229587586e97f3822874e2aea6551cd28a140e9bd953b2

Observation 49c4c1d6-7992-4079-9270-b35f5d035edb · outbound

This paper cites Language models are unsupervised multitask learners.

Scalable Autoregressive 3D Molecule Generation Language models are unsupervised multitask learners

Reference 42

Resolution
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no resolver link, observed 2026-08-15T20:16:06.369890Z

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source=arxiv_source observed=2026-08-15T20:16:06.369890Z digest=sha256:2e81500206279c02740402d49c7cb888b5fb592d46fe86b45073320db56c244a

Observation 2ba6547c-0445-4938-8cff-aab413082129 · outbound

This paper cites karpathy/ nanoGPT , January 2025.

Scalable Autoregressive 3D Molecule Generation karpathy/ nanoGPT , January 2025

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.312762Z

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=arxiv_source observed=2026-08-15T20:16:06.373132Z digest=sha256:ebbdc8b6486004b201d96fe85087c990ac94aa737d29c13a36cc55b4031ff532

Observation 021fde27-e295-424a-aa4b-78f8aeb76110 · outbound

This paper cites Palm: Scaling language modeling with pathways.

Scalable Autoregressive 3D Molecule Generation Palm: Scaling language modeling with pathways

Reference 44

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no resolver link, observed 2026-08-15T20:16:06.376476Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.376476Z digest=sha256:644beaf455c4811589f5c714ffb364b9e878d1005c163934cb3105d87e02888f

Observation 530834bc-a8ab-44e6-8bf7-ad8bc82df586 · outbound

This paper cites Small-scale proxies for large-scale Transformer training instabilities.

Scalable Autoregressive 3D Molecule Generation Small-scale proxies for large-scale Transformer training instabilities

Reference 45

Resolution
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no resolver link, observed 2026-08-15T20:16:06.379756Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.379756Z digest=sha256:5cec248f601b644c4575f7890e22d4f16435c557b9e761197ad860b8fe152ea2

Observation caf5b11a-3ae6-4cbb-b282-6ace4d03240d · outbound

This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.

Scalable Autoregressive 3D Molecule Generation Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Reference 46

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no resolver link, observed 2026-08-15T20:16:06.383092Z

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source=arxiv_source observed=2026-08-15T20:16:06.383092Z digest=sha256:c01a45d6d6106ddc7e46f2bd6f1b6b3f1716d5a2f38c170301cb399ca95f72bc

Observation 760d0eb6-dcf7-4c19-8298-af75e8b5ea04 · outbound

This paper cites Neural ordinary differential equations.

Scalable Autoregressive 3D Molecule Generation Neural ordinary differential equations

Reference 47

Resolution
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no resolver link, observed 2026-08-15T20:16:06.386606Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.386606Z digest=sha256:834e34d16dfc291bb55591ca485af867d880cc0eb59b33a891b0ded0a1cacbcd

Observation 06fc45bf-c99f-46bc-a1f6-fff3c8848e16 · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines.

Scalable Autoregressive 3D Molecule Generation A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines

Reference 48

Resolution
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no resolver link, observed 2026-08-15T20:16:06.389990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.389990Z digest=sha256:ab7e4b11f9964a58ec73c246e54e87a76164d79f7e4ac6d58427d3f88a225d9b

Observation 7e79f3f7-8e8c-4a46-b4f0-7b0ef6026886 · outbound

This paper cites Quantum chemistry structures and properties of 134 kilo molecules.

Scalable Autoregressive 3D Molecule Generation Quantum chemistry structures and properties of 134 kilo molecules

Reference 49

Resolution
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no resolver link, observed 2026-08-15T20:16:06.393203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.393203Z digest=sha256:d44204457616eb0821610b0a87a01e350e9431577986660619b49bc4d0b86051

Observation 69096701-e909-47e7-8934-aca4d76324f8 · outbound

This paper cites GEOM , energy-annotated molecular conformations for property prediction and molecular generation.

Scalable Autoregressive 3D Molecule Generation GEOM , energy-annotated molecular conformations for property prediction and molecular generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.276858Z

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=arxiv_source observed=2026-08-15T20:16:06.396614Z digest=sha256:8f2747e8e9c597484a8c3250a7792ca9f650496d2576072556ad911dc524bb90

Observation f8564b81-7ba6-47f1-bff5-eb5d87b86ec8 · outbound

This paper cites E (n) equivariant graph neural networks.

Scalable Autoregressive 3D Molecule Generation E (n) equivariant graph neural networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.265308Z

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=arxiv_source observed=2026-08-15T20:16:06.399544Z digest=sha256:84707de8f10cdaac0fd77618a9c17a39374b48aec3c49447e6cff9ead7d98ea1

Observation 5f65786d-9a5c-4063-8e6a-6eec6bb9b24e · outbound

This paper cites Denoising Diffusion Implicit Models.

Scalable Autoregressive 3D Molecule Generation Denoising Diffusion Implicit Models

Reference 52

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.402654Z digest=sha256:ca3e093ee11549755cad4d0090585d1182ce001ce370f114127a30f0756d4a0e

Observation af63a694-048a-42c0-8322-48f207ccfd16 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Scalable Autoregressive 3D Molecule Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 53

Resolution
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no resolver link, observed 2026-08-15T20:16:06.406914Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.406914Z digest=sha256:f279fdbaf3600126dd6ab0f95d45e956c3b6087984c4aed8bac45f323d9261e1

Observation 3cf104c8-8fdc-47d9-9645-7008cd501944 · outbound

This paper cites Geometry-complete diffusion for 3d molecule generation and optimization.

Scalable Autoregressive 3D Molecule Generation Geometry-complete diffusion for 3d molecule generation and optimization

Reference 54

Resolution
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no resolver link, observed 2026-08-15T20:16:06.410562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.410562Z digest=sha256:5f92ca8d91782afd911167f2b11a0626ebaae008d72f86d3c4ed2a635e4f9a25

Observation 41b31eac-9498-4b11-be15-0e726f3cb43b · outbound

This paper cites Practical suggestions for better crystal structures.

Scalable Autoregressive 3D Molecule Generation Practical suggestions for better crystal structures

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.243035Z

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=arxiv_source observed=2026-08-15T20:16:06.413257Z digest=sha256:4290f469aeee58e06060962b7d81037377d64305fea6523e283d5209154a999b

Observation c816603d-06ec-4368-ab70-175faed1915c · outbound

This paper cites Olex2: a complete structure solution, refinement and analysis program.

Scalable Autoregressive 3D Molecule Generation Olex2: a complete structure solution, refinement and analysis program

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.232042Z

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=arxiv_source observed=2026-08-15T20:16:06.415840Z digest=sha256:835aef367aa4e005bad70164d9f5db47fef1075bbbf30505a650a455acc571fc

Observation d2e8c08d-95e5-44b6-b570-d92a27f7f545 · outbound

This paper cites Open babel: An open chemical toolbox.

Scalable Autoregressive 3D Molecule Generation Open babel: An open chemical toolbox

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.418773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.418773Z digest=sha256:783ca4bc46b7031b83636ec70c9abb30c617b50017caf827cd5dde653fb70a29

Observation 48f2d414-32db-4985-82cb-ae268f329d64 · outbound

This paper cites Adding hydrogen atoms to molecular models via fragment superimposition.

Scalable Autoregressive 3D Molecule Generation Adding hydrogen atoms to molecular models via fragment superimposition

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.214549Z

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=arxiv_source observed=2026-08-15T20:16:06.424366Z digest=sha256:de0b9a26c47834752f938af867d84680317bfd07f43f125268b504a086e22ae1

Observation fb4e4dfa-ef86-4a31-831a-4a29e77fdc11 · outbound

This paper cites Diffdec: structure-aware scaffold decoration with an end-to-end diffusion model.

Scalable Autoregressive 3D Molecule Generation Diffdec: structure-aware scaffold decoration with an end-to-end diffusion model

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.203331Z

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=arxiv_source observed=2026-08-15T20:16:06.427256Z digest=sha256:6fbfb0a77034d6d6672e4979d6722145f8dacec740bebceae59506c08261e12a

Observation 5bd493a4-4dfd-41f1-a01e-147c4dcc1b14 · outbound

This paper cites Transformer Language Models without Positional Encodings Still Learn Positional Information.

Scalable Autoregressive 3D Molecule Generation Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 60

Resolution
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no resolver link, observed 2026-08-15T20:16:06.430239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.430239Z digest=sha256:e4e12c42228f88df4d5050a36b43968658da24a06db2129a300f3dc92e3475d8

Observation 5ef7f18c-42ae-41a3-bf82-a014efc87b2e · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

Scalable Autoregressive 3D Molecule Generation The impact of positional encoding on length generalization in transformers

Reference 61

Resolution
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no resolver link, observed 2026-08-15T20:16:06.434031Z

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source=arxiv_source observed=2026-08-15T20:16:06.434031Z digest=sha256:95fd533ee0d2741ae79d83d035679edbb0c212f278f56612eca6ab77004a3c71

Observation 2b2074f2-5b5c-4fb4-b2b3-8a405af4caa8 · outbound

This paper cites Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles.

Scalable Autoregressive 3D Molecule Generation Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.437468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.437468Z digest=sha256:3b71e602b62040aa8841ceefade11707936a0945cacc44aefed0b385d1dc6299

Observation d2ae7eab-f970-41e3-9e91-d3f830dcac9d · outbound

This paper cites Do large language models need sensory grounding for meaning and understanding.

Scalable Autoregressive 3D Molecule Generation Do large language models need sensory grounding for meaning and understanding

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.184481Z

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=arxiv_source observed=2026-08-15T20:16:06.440918Z digest=sha256:8a7d451914db623227873e4e1b6aad1e159a67fa00ecec680324671b5018ab78

Observation fdccb27a-928a-4e41-91e0-96d7dfeb58fa · outbound

This paper cites The pitfalls of next-token prediction.

Scalable Autoregressive 3D Molecule Generation The pitfalls of next-token prediction

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.444145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.444145Z digest=sha256:5f760b9bad098ae81fedd952c99f211cf978c96f3285d38517627baae096dee3

Observation 30837235-cb0d-42ca-9ade-88520a05ef68 · outbound

This paper cites Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.

Scalable Autoregressive 3D Molecule Generation Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.447678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.447678Z digest=sha256:9ff691b9f8371bbe79970a95a9862fea3c3bd855fde5ed3858526936789f8cb8

Observation 9ccc8d39-4054-47a5-98af-68e1cc2730cd · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Scalable Autoregressive 3D Molecule Generation Chain-of-thought prompting elicits reasoning in large language models

Reference 66

Resolution
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no resolver link, observed 2026-08-15T20:16:06.451228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.451228Z digest=sha256:6fff4cddfb2f0e87b3e29b220074d4c1144885e74d9164391b0f26512fe1e2de

Observation 595ffd92-e240-4a00-8183-a012c1727843 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Scalable Autoregressive 3D Molecule Generation Training Large Language Models to Reason in a Continuous Latent Space

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.454678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.454678Z digest=sha256:a479b36dbc164a954e9a88589f3e9baae0dd1fa578233adff6e7e9491a6b8b3a

Observation f3cec5c8-0801-421f-8742-61a93f61c1af · outbound

This paper cites Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.

Scalable Autoregressive 3D Molecule Generation Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

Reference 68

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unresolved
no resolver link, observed 2026-08-15T20:16:06.458233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.458233Z digest=sha256:f520c0a08f11f2c5e703935fb48b654cc6c054b6e1c5861fe5e669422c1d9c8b

Observation c172ee21-733c-49a9-bf13-1b6b8f0d778a · outbound

This paper cites Equivariant flow matching.

Scalable Autoregressive 3D Molecule Generation Equivariant flow matching

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.161472Z

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=arxiv_source observed=2026-08-15T20:16:06.461508Z digest=sha256:b134aaf97ddac32e425e4c4609406ef13ba9cbe3e3525b4474b9a51399abd1c0

Observation 952233bb-4085-4d66-8f25-d297c30fe2bc · outbound

This paper cites Transferable Boltzmann Generators.

Scalable Autoregressive 3D Molecule Generation Transferable Boltzmann Generators

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.464784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.464784Z digest=sha256:f369d7ab11fc756a3efa88d99acdd2fe1b5e127a2dc8d80f2f1e5e23166f18ec

Observation 1d5bf2d8-95ab-49a4-b3e4-6a22e6a99f55 · outbound

This paper cites Scalable equilibrium sampling with sequential boltzmann generators.

Scalable Autoregressive 3D Molecule Generation Scalable equilibrium sampling with sequential boltzmann generators

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.468370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.468370Z digest=sha256:78c6987e66b5a63dcb62467cb201c4e6f2974bf4c04bc237bd0cffabf11d513e

Observation 714b591f-d18d-41b9-9018-34806296abba · outbound

This paper cites Dual use of artificial-intelligence-powered drug discovery.

Scalable Autoregressive 3D Molecule Generation Dual use of artificial-intelligence-powered drug discovery

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:16:07.150492Z

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=arxiv_source observed=2026-08-15T20:16:06.471699Z digest=sha256:171f537d38f0f800be473498e963ba5810dc4288ddf077dbaf2529e7575a446e

Observation 66cac4c0-bf0d-405c-a69b-c46e031fb806 · outbound

This paper cites Python reference manual, volume 111.

Scalable Autoregressive 3D Molecule Generation Python reference manual, volume 111

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.475064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.475064Z digest=sha256:694b75e9f8d2e8523ab99b32167495ecca6910bc1ffc7d9843a595157353013c

Observation 9b236d7e-0f49-400b-95a1-b9ff4744ffd2 · outbound

This paper cites Python for scientific computing.

Scalable Autoregressive 3D Molecule Generation Python for scientific computing

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.478751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.478751Z digest=sha256:fdb004538a256610ebaa032caa287f761d83141d1ea7cbf713bcb72410885218

Observation d06c662b-7694-4096-a36d-b501f07bd064 · outbound

This paper cites Py T orch: An imperative style, high-performance deep learning library.

Scalable Autoregressive 3D Molecule Generation Py T orch: An imperative style, high-performance deep learning library

Reference 75

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unresolved
no resolver link, observed 2026-08-15T20:16:06.481997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.481997Z digest=sha256:32d4b0bb975338d75ad9e38c19965ed9ff4c94b0a06e9ee3712a99c9b85a3644

Observation 8ab7c67e-4a6e-4858-916d-a52fce839413 · outbound

This paper cites PyTorch Lightning , March 2019.

Scalable Autoregressive 3D Molecule Generation PyTorch Lightning , March 2019

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T20:16:06.485136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.485136Z digest=sha256:1ac1c5c8fed0684f931ccf53153056401e0fa7dcf5e72a4fb9c175ad4e6893f6

Observation 4967524a-3e25-44c5-bd23-f9ce8889bbda · outbound

This paper cites Scalfani, guillaume godin, Juuso Lehtivarjo, Rachel Walker, Axel Pahl, Francois Berenger, jasondbiggs, and strets123.

Scalable Autoregressive 3D Molecule Generation Scalfani, guillaume godin, Juuso Lehtivarjo, Rachel Walker, Axel Pahl, Francois Berenger, jasondbiggs, and strets123

Reference 77

Resolution
verified exact
doi, observed 2026-08-15T20:16:07.113303Z

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=arxiv_source observed=2026-08-15T20:16:06.488738Z digest=sha256:c7ae35d0845616c98299c0a59e28191399cf6add14e74bb465e325b126160e30

Observation 04c2c7ca-69c8-49c9-a1e5-0ec9e5bbf500 · outbound

This paper cites 3Dmol .js: Molecular visualization with WebGL.

Scalable Autoregressive 3D Molecule Generation 3Dmol .js: Molecular visualization with WebGL

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation acb68703-75fc-4a2c-9e27-3c7eb9174c0c · outbound

This paper cites Jupyter notebooks-a publishing format for reproducible computational workflows.

Scalable Autoregressive 3D Molecule Generation Jupyter notebooks-a publishing format for reproducible computational workflows

Reference 79

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no resolver link, observed 2026-08-15T20:16:06.497203Z

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source=arxiv_source observed=2026-08-15T20:16:06.497203Z digest=sha256:339126386798f38d16c9c91d88ed56eb3434477045d21ff425d330c96dccc3fb

Observation cc7ff275-7afc-475d-8c71-e63a8afe8170 · outbound

This paper cites Matplotlib: A 2d graphics environment.

Scalable Autoregressive 3D Molecule Generation Matplotlib: A 2d graphics environment

Reference 80

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no resolver link, observed 2026-08-15T20:16:06.501257Z

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source=arxiv_source observed=2026-08-15T20:16:06.501257Z digest=sha256:de3e9a264067663abf769e72ae500509bc1542d86f6e5482ae3608832f1c5249

Observation e2f6c824-9da2-4128-b3b9-f03cb804f9d4 · outbound

This paper cites Seaborn: statistical data visualization.

Scalable Autoregressive 3D Molecule Generation Seaborn: statistical data visualization

Reference 81

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no resolver link, observed 2026-08-15T20:16:06.505644Z

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source=arxiv_source observed=2026-08-15T20:16:06.505644Z digest=sha256:895fee32f9abec3aa1d4c78481f1a086d081fb77dfeec44a7bcbae50fdd90678

Observation 35c08b96-6e85-46b3-b6bd-77e429ddbeb6 · outbound

This paper cites Harris, K.

Scalable Autoregressive 3D Molecule Generation Harris, K

Reference 82

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no resolver link, observed 2026-08-15T20:16:06.510362Z

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source=arxiv_source observed=2026-08-15T20:16:06.510362Z digest=sha256:5be680dd2960622bd655de306dc494d0a9307d74536d5fd984db7e94ce5ebf23

Observation c418fb0f-4cca-41c4-9f18-ea22e1b72c00 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

Scalable Autoregressive 3D Molecule Generation Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 83

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no resolver link, observed 2026-08-15T20:16:06.514302Z

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source=arxiv_source observed=2026-08-15T20:16:06.514302Z digest=sha256:d807c68a76a5900e28655834e7c8f17d96dc7c75138ec6a7dc007954672fdb87

Observation 1d4e3f3a-dd0a-4b78-b6d3-c89d9f255b8c · outbound

This paper cites pandas-dev/pandas: Pandas.

Scalable Autoregressive 3D Molecule Generation pandas-dev/pandas: Pandas

Reference 84

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no resolver link, observed 2026-08-15T20:16:06.517946Z

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source=arxiv_source observed=2026-08-15T20:16:06.517946Z digest=sha256:fdb30adcbd526f98300d8ebb147039abcabb9558c8c0e27c504a041996d54bf8

Observation 523b1b14-0a05-415d-8097-9c1eb7484bef · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

Scalable Autoregressive 3D Molecule Generation Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 85

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no resolver link, observed 2026-08-15T20:16:06.521729Z

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source=arxiv_source observed=2026-08-15T20:16:06.521729Z digest=sha256:19fe03ca285d4fba5e5446bb5f49ab8cb88de8bc75b8bbcd8f223f60ddb99be8

Observation a7cf3856-7b3a-43dd-b342-07085e7dd17e · outbound

This paper cites Decoupled Weight Decay Regularization.

Scalable Autoregressive 3D Molecule Generation Decoupled Weight Decay Regularization

Reference 86

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source=arxiv_source observed=2026-08-15T20:16:06.525752Z digest=sha256:234f775b2cca5ae2e3857e4ebf8d77fb684b4b754ded5fbac8bb86fe39f706d4

Observation c0ee522c-1ae0-420d-9df1-ea9e5df2c81a · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Scalable Autoregressive 3D Molecule Generation Analyzing and improving the training dynamics of diffusion models

Reference 87

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no resolver link, observed 2026-08-15T20:16:06.528942Z

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source=arxiv_source observed=2026-08-15T20:16:06.528942Z digest=sha256:008002e21ac9f2d0dd5d16181cb36182b672bc484da216225744fa1d75f27314

Observation 7ca4d52f-2697-4643-a690-1be18028a8d3 · outbound

This paper cites Universal structure conversion method for organic molecules: from atomic connectivity to three-dimensional geometry.

Scalable Autoregressive 3D Molecule Generation Universal structure conversion method for organic molecules: from atomic connectivity to three-dimensional geometry

Reference 88

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no resolver link, observed 2026-08-15T20:16:06.532164Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.532164Z digest=sha256:2dcd5c1bc63ba02c3e647fcb11eb76c2e5ef852bc8ceb6eadcedb3baf5575e78

Pith citing papers

Observation cf3130ce-338b-41f9-8855-e2f7143766be · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames Scalable Autoregressive 3D Molecule Generation

Reference 9

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no resolver link, observed 2026-08-04T07:22:12.446051Z

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source=arxiv_source observed=2026-08-04T07:22:12.446051Z digest=sha256:92bcb42410bf54b3970e70c118e5e46848f2bef6e7aa23a5cdcfbd0f4d6d04cd

Observation e448c6c4-6868-463b-9078-648370a702d6 · inbound

NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation cites this paper.

NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation Scalable Autoregressive 3D Molecule Generation

Reference 4

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verified exact
arxiv_id, observed 2026-05-17T00:23:44.747044Z

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=2026-05-17T00:22:18.828991Z digest=sha256:9c2eba292e10be6287501c55e64c766e81bea494e4ae23e994cd6762b910f2a3

Observation 77ab49d5-71c1-463c-a6ff-92dd8d254902 · inbound

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport cites this paper.

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport Scalable Autoregressive 3D Molecule Generation

Reference 47

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metadata mismatch
arxiv_id, observed 2026-07-02T16:17:09.035949Z

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=2026-06-27T22:52:42.933237Z digest=sha256:9bb1f0b12f61eaddee4508d58bb7620fd8d1aa203119100182e4e23d0fcce174

Observation ede9622c-c29f-4425-b614-3cb2be15a05a · inbound

De novo molecular generation with optical property preconditioning at the token level cites this paper.

De novo molecular generation with optical property preconditioning at the token level Scalable Autoregressive 3D Molecule Generation

Reference 14

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metadata mismatch
arxiv_id, observed 2026-07-02T20:47:22.989309Z

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=2026-06-27T20:09:18.084061Z digest=sha256:884db6afc609b133cb4c05cf1d0da97318aaaaac962bc8d5249d0d97142f3c9c

Observation 94cf721c-6b87-4d2e-afde-b273d4cb69d7 · inbound

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning cites this paper.

Atomic Design Transformer: Scaffold-Conditioned 3D Molecule Generation via xTB-Reward Reinforcement Learning Scalable Autoregressive 3D Molecule Generation

Reference 2

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no resolver link, observed 2026-08-01T22:02:28.332204Z

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source=pdf_text observed=2026-08-01T22:02:28.332204Z digest=sha256:f640f691bf6c75bb3fa4a42f5cf0ddc1489a856e103a0ff2d1dc5a4979c7bdab