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Paper Citation Record · LEDGER

Scalable Autoregressive 3D Molecule Generation

As of 16 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 2026-08-16T06:30:59.297886+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:e119b0d89db689d23ef3f2615f2f4fec58d22331dca1fb4316a712166aa95b51

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=sha256:0c8e417e64b5304fc1e2a8d56450ade3b992e482bc8da449bc4a83a3113f79fa

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:f91f9dd4a1a4c43ea417bcda2c5048adee759b8d0b20934c1af1a2cbdba9b8d3

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:d16bc6c42921f2c7d4da2fd108d84dbd0622176e3bb34dcb49493ed7c28c9bc6

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:fd7d9c78de2a92f14ea4c3365a37bbb5aba78d29bf062ec1b42e7d07b3bb2299

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=sha256:4fb7c2badc8635da4214d9e7ab4df3ce5cb40431b3d3788531f2144e1fa216e9

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:eee79861e258adbb19078a1adf1eb34d4ed9e2fe00578f41a7c81533b20ab3b9

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=sha256:3ecee20606a62a96ec7ebc8a470982d600866e96214ef619b48f7fd3fae2113a

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:b7659e1082521664689f907dd355952e4b1dbbc8340c7cbfe22b1fa19bafd081

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:f5e39fd166b85069371fefc39297ce59040712e2ec16b08fc18da178b6306a26

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=sha256:7825037e13bcd465ee84015bc1b1436a9f20c545c35f2e8669986ce8b09494a4

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.268764Z digest=sha256:05342ec5cf558df07870f80d7e8790b83661a0e62da5ca0dd8161ab1970cf53f

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=sha256:4b334e2d61376a346e344bea82326fd3c4a76c5ae84a7e0b01ead72c79929d19

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=sha256:312750e45e4981b1d6f974b5734f14b6b7f717031353841fd34847d12ac09f14

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=sha256:55d8052cd38a98fe224975ba97185433b8a83c561fc7b090278f01f7f7f4f2f8

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=sha256:23e21ca0ba4c03c4758a67f799cc0ec90a93812f3a451086e7ac7bdcc310b535

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=sha256:9e9597302081037393afb21deab041fdcd3f3808f3106aefbc89d6556a9365f0

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=sha256:539f50966a40e940d042e70b602e5ff56252c98208286de81adf49563e53edd4

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=sha256:48572142ba110b161a438a23c1a2f413c4f61cc0b156f42ff8416a0b75ec043c

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 2026-08-16T06:30:59.297886+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.299980Z digest=sha256:ff310167e6f01ae3a0fcda45f91a4057c7a8c6c82005eb669f4517ec3529ebfb

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=sha256:4587b5e7c35f5634baf5ab2020bf63dadd85e72feb56ebbe2767d7fefffa4430

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=sha256:46f0dbc921e0e35431d0aa373aefcf0d07da717d89ccc044b7a5aedb3f886f78

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=sha256:883c1b763fefba4de9ad80624d02144bb9da5c076ecd5dcb4ea997243e0a2a50

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.314186Z digest=sha256:cef1e3f4acbfcd3280c131415eb7f62405177be5773f1b21e02668a47e0e45ca

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:d7397032851ac89fc78911ea1b7f70820fb7494d1e80bf822d0d46f3491884bd

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=sha256:5e7049b738b6c0b3abd2a0a43e95d1345b8403729516690f7ff1528617b2f53f

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=sha256:1429a4961373d309749f2dd35b68c7a3c18cd7b2cf0fc24f4e3950bb760d5e75

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.326846Z digest=sha256:e9c6e420f753859d7ece4c99ca214291a97f5cd072df6af442896e5ffbe4b37c

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-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.329950Z digest=sha256:05bb097e1ff00ea0582e03353c0b7628c48f34123dca4e5f0cbaba1bdd8ef961

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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source=arxiv_source observed=2026-08-15T20:16:06.333223Z digest=sha256:a5bfce437a728efc233b29a55e9fba3ad04a44a817bf2ee5a7f730f76bfcb4ef

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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source=arxiv_source observed=2026-08-15T20:16:06.336314Z digest=sha256:8ab467efb1afebe61d2dbb28ed7a11dba73cad13e72d907964112cfe635a17ce

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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source=arxiv_source observed=2026-08-15T20:16:06.339392Z digest=sha256:6de52a47a1964541a0ea7824e2e3dbba1da460fced4d65f33ce7380f392c9bb5

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=sha256:4712d0bff839b8bedb5a714d626ff97a4b0db73347d9cdc0ca7b6345575f9c6e

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:f5b82d43c7c421d5c7f9272b09f2b34dcc51b74b8c98328683406a713a746c88

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=sha256:4057fdf26917820becf5c78df8911c9ac67ee8bbe56d05cac1ce6bbc054fab05

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:da32d81abf4029df1839e0edd7200625ac621efd285d01503b37b1da1e53edf8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.356054Z digest=sha256:1aacbe77c56a73b520f5cee387362696c926a432068c4b5454e5193569f50f01

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:c7aba5963bf0106f8474bd48051e015679b19f729c43f750d68c8e36bb951243

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.362808Z digest=sha256:0a8553905b16ad16011efcfb3e561b9fde1a4bf9c0b08c0f9939d9e0d7b7dca0

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

Resolution
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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=sha256:922b7489a476ef226eeaea9248d61983eebc1189158d9c3e40445c760a0793fc

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=sha256:5d9cf8dfbc3ab2d96cd27625dcaa5f676b85ee8c1e5cb13efa8e2e5c330b66ff

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.373132Z digest=sha256:6ff4ccae6889d6607dfe314e8b6cfcaae1ade165bcf7ac75a6db09c3931b3a97

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

Resolution
unresolved
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:b63ec768b6417171354367895844c1d095535d38dc43215a2264c47821a24d11

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=sha256:98a5599e351202fc1519ce52d8cc8cefac45115128206a10ec3ee6634493df5c

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.383092Z digest=sha256:fcc6034bce1d90cf2a1b9b6891c12d6b631079ec45a18845fc3939ff467ebffa

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.386606Z digest=sha256:3a2815c8fc7acef0515846fedd577f8ce12673d1ce03f34e6c1ac45c2825c621

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.389990Z digest=sha256:42b9d21660a855a3aa0448935af688061e7cb8a0711c74287b7db3f7da5f2a4d

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=sha256:7f552d493a1396dfd1474284ad5e81fcdae5e6172b19a51b3e260054f9f38f8d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.396614Z digest=sha256:04942d28e2ec229390dc37ddd3a7dd7a292da3632940d58d5fb1746d086bdb98

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.399544Z digest=sha256:0f17a5941b059553fc6207a43b1e09e8a0a567072a9df1324e8b0474085dba25

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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no resolver link, observed 2026-08-15T20:16:06.402654Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:16:06.402654Z digest=sha256:a08a6ccfb1a9df9f8939784347fd7b7c5d1c5fa567ec9cbebab4ff6adcf3a8f3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.406914Z digest=sha256:53629850ff1284e7e859e91bbc5ef281bae5c52d5707211b2389b84c7f4a6527

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
unresolved
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:ecc6a7434c27f2f15bc5698bb75a83a2c72ecc229637ac632d97b8c253afc96f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.413257Z digest=sha256:07bf4d0762e4f5fef8c3e910c446d0d28df73b3dfae3a7219a1bf18a696f275c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.415840Z digest=sha256:7eed3ece25a2c67a46bfcf5b35fa0d3287f3f61658320c53e09ff47c32b7df82

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=sha256:1ecffe00f1ec5df06d63f3204ae62b86402b590e575a08cd66b7329aaa4b9853

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.424366Z digest=sha256:d51b0ab9a4bb7765958346ff08d88a515034c6a3a84ed4561185d751134455a1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.427256Z digest=sha256:a98ecaf706a497248b2a7d1a3dac4dfe178bdcea8d5a234bf560767407dcdd1d

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=sha256:94cc4b9062c438e332608a7783cfaaad4b481ab65a32c27e4418f19591f026c8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:16:06.434031Z digest=sha256:9b527cc5308264898d4cbc186c9e97fd455417aa2766abb5d72e2a426c0c6df3

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
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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=sha256:563db661b30e907c911d36569c91bb3f4d61dca4df3449c69ac1a9d65a353586

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.440918Z digest=sha256:4025cf6d3d10969a52cd0680276853b34196a278dafb028f9107226819e4e10d

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:fd389f09a63a067d902aea6282c549e47ac0200c25d95520cdcd3c4aefded6ce

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
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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=sha256:063dcc4cedfbf971fd58519c4c73c673c891aabb9c016a917d4c5c0a3e378819

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
unresolved
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:bd8be7927da7e86810d99cea54ed69a99672429b53146fc38533e53091afc9fe

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=sha256:6dbc882cd8e1de826a57ecabf0818003377244f6b57915fdecc02ab63af5040d

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

Resolution
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=sha256:9c9473ff5eccbc0828d84097ccaf803ebc27a4b8febe153466854d5f0aaeb139

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.461508Z digest=sha256:a26b8a3325627be9569a17f4a5de6626f36daa18ab3709ae75856142598cae31

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=sha256:26f7989b46fdeac4bd89174947874c4bea83c745793c96ec3716dc331c23bdb4

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:a8e503c72fa7dc8ea533e32c01530b6a58d366d4de082c9e9926fca7a626dba6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.471699Z digest=sha256:fb29a4357d89fa947700f8f8fa9868e405ac51f58f2aa718c71306c169aff134

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:fe8c3d9e270899f8175eec9d1431db860c0f9187f13028de514d7d473af4d072

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=sha256:6ff974bad70fef85537ca92a54174ca3251ad86f283c39113ddb8f39650221a2

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:d1b7b5289c2c9bd380c0651b087fcac9bde52a9edd310e5d71ec1fdccc4093f8

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:d7a1856586cda216655b39514da9b4e5cd1d53a018ea70989eb521807bd4cc70

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:16:06.488738Z digest=sha256:a41b0d11eac6a64b80b6a8bd2e9a8b9cec2d96761aabfc2bb966df3803701cbd

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=arxiv_source observed=2026-08-15T20:16:06.492903Z digest=sha256:dbe2bcbde3507cb835714ffa74746100eed01994d2c67052b8ad38c75e2cd67d

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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source=arxiv_source observed=2026-08-15T20:16:06.497203Z digest=sha256:55efa96e4faf4231c9273f0660de7bea06a63cbbfcab7ebad2248f34f5b8db0f

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=sha256:8e9f9f48581480adf6600c16cf7cb32871f4fd65d94df3120453378ccc8a514f

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=sha256:89c12bdc3de8730fe9e91bdc96c11e377b2e754c81103d141468555f1276b5f1

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:facb2cd9cfe3b62cbbf3a0905b7b2eb7fceca9c476a3729bf446ef3a85209cf0

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=sha256:3d2383c65d9203bfa4032e608aa40008b0a2b21e8f838226b301d6290a05957b

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=sha256:3e312e019e4dcdc468f2f08c5d3f5306e75f5cbbf1fd9be66a7749caeaa5c0cd

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:f07b2ad9f7272298c3bd57362e21e03464c13db0b3e5bdc3b747e2930e237e4b

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=sha256:60e764658b360b62e18fb53bafe03233849b30deb48dec66926a6a1425cfbd8d

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=sha256:1e63e91b7b09df9fc4be4ec555a52504e173d8d641859719e2fabc9024b7b6e8

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

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source=arxiv_source observed=2026-08-15T20:16:06.532164Z digest=sha256:e9ef896966686427909026af4e87c419d6094514e6b1785c0a55bc159d03efaa

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=sha256:432a0ea7db8b2a7026232ab211cad2a47634b6082e157d883c7fea865a986050

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T00:22:18.828991Z digest=sha256:0042d218a478410d94b795cfab49fc8f3f00efc73a01732fc00a094119f3596f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T22:52:42.933237Z digest=sha256:41decd15f211eb065157ad0dfe8120b23625ae59444c17c72f3b6bf65f4b550a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T20:09:18.084061Z digest=sha256:f3772ce2df06ff9f13d8dffc247870a8021c84235b0327359805fad2a744c99c

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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source=pdf_text observed=2026-08-01T22:02:28.332204Z digest=sha256:e513d7405cb6e6a48d8de03f2123d0ac1e3742619f11654f7709e1fad8e8467a