Paper Citation Record · LEDGER

Scalable Peptide Design via Memory-Efficient Equivariant Transformer

As of 6 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.25006.

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

pith.paper-citation-record.v1
2606.25006 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:32:47.288482Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55da3f65-5ccc-4cbc-b286-0a4b8cfcb1e4 · outbound

This paper cites Posebusters: Ai-based docking methods fail to generate physically valid poses or generalise to novel sequences.Chemical Science, 15(9):3130–3139, 2024.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Posebusters: Ai-based docking methods fail to generate physically valid poses or generalise to novel sequences.Chemical Science, 15(9):3130–3139, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30b1441-5a72-4579-9051-bc3d172ec610 · outbound

This paper cites Pyrosetta: a script-based interface for implementing molecular modeling algorithms using rosetta.Bioinformatics, 26(5):689–691, 2010.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Pyrosetta: a script-based interface for implementing molecular modeling algorithms using rosetta.Bioinformatics, 26(5):689–691, 2010

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2349ea2d-f466-4804-8ddb-82adaff6e0c8 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344–16359, 2022.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Flashattention: Fast and memory-efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344–16359, 2022

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8d1a03-52e3-4474-9310-397b38213ab0 · outbound

This paper cites Vector neurons: A general framework for so (3)-equivariant networks.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Vector neurons: A general framework for so (3)-equivariant networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76014e12-c3f7-4bab-8df6-3b67f1dc8ad8 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f78075-3b16-4cda-b288-b9c696ec98b4 · outbound

This paper cites An equivariant pretrained transformer for unified 3d molecular representation learning.Nature Communications, 2026.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer An equivariant pretrained transformer for unified 3d molecular representation learning.Nature Communications, 2026

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c5114d-820d-4aab-8394-91ff1eaed616 · outbound

This paper cites Full-atom peptide design with geometric latent diffusion.Advances in Neural Information Processing Systems, 37:74808–74839, 2025.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Full-atom peptide design with geometric latent diffusion.Advances in Neural Information Processing Systems, 37:74808–74839, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e93fc8c-936f-4376-b969-db00bad2239e · outbound

This paper cites Unimomo: Unified generative modeling of 3d molecules for de novo binder design.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Unimomo: Unified generative modeling of 3d molecules for de novo binder design

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027c5bac-41fb-4fee-b6c3-57aca9c29979 · outbound

This paper cites Full-atom peptide design based on multi-modal flow matching.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Full-atom peptide design based on multi-modal flow matching

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54cef8c8-35f6-4b00-a92f-036d6744ac25 · outbound

This paper cites Equiformer: Equivariant graph attention transformer for 3d atomistic graphs.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Equiformer: Equivariant graph attention transformer for 3d atomistic graphs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e171ea-efb3-4505-917f-7021a5be2e56 · outbound

This paper cites an unresolved cited work.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730ed2d1-01b7-4db5-8719-0091b589239f · outbound

This paper cites Improved denoising diffusion probabilistic models.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Improved denoising diffusion probabilistic models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228d5951-ed84-402e-9811-e8517eee918c · outbound

This paper cites Scalable diffusion models with transformers.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Scalable diffusion models with transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27807728-4bbc-48be-81ac-57edc7bbc608 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer High-resolution image synthesis with latent diffusion models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ed4796-8476-4b69-a344-f49185558db7 · outbound

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

Scalable Peptide Design via Memory-Efficient Equivariant Transformer E (n) equivariant graph neural networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993863bb-b8d7-409e-b097-97e49311657b · outbound

This paper cites Equivariant message passing for the prediction of tensorial properties and molecular spectra.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Equivariant message passing for the prediction of tensorial properties and molecular spectra

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b30ffc-1dcb-43ec-8146-b53f1d892292 · outbound

This paper cites Schnet–a deep learning architecture for molecules and materials.The Journal of chemical physics, 148(24), 2018.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Schnet–a deep learning architecture for molecules and materials.The Journal of chemical physics, 148(24), 2018

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b864b925-5631-44fc-b2a5-0484a775ed7d · outbound

This paper cites GLU Variants Improve Transformer.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer GLU Variants Improve Transformer

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:09:50.165779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 438d3b2f-6766-42f9-b7e2-2bfc4dd5e6cb · outbound

This paper cites Score- based generative modeling through stochastic differential equations.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Score- based generative modeling through stochastic differential equations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9ceafc5-ad36-4c3e-a704-5961d3dee49d · outbound

This paper cites Equivariant transformers for neural network based molecular poten- tials.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Equivariant transformers for neural network based molecular poten- tials

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75603d4e-491e-4953-9e81-fc7d21d45394 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:09:50.169491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f599ca7b-6975-44e8-ac5b-950140f35fed · outbound

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

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Alphafold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic acids research, 50(D1):D439–D444, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c9729aa-f0de-429f-a1ed-fd0b388ce7eb · outbound

This paper cites Target-specific de novo peptide binder design with diffpepbuilder.Journal of Chemical Information and Modeling, 64(24):9135–9149, 2024.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Target-specific de novo peptide binder design with diffpepbuilder.Journal of Chemical Information and Modeling, 64(24):9135–9149, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fdb5edc-6a85-4935-abc6-22fdfb4b8390 · outbound

This paper cites Therapeutic peptides: current applications and future directions.Signal transduction and targeted therapy, 7(1):48, 2022.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Therapeutic peptides: current applications and future directions.Signal transduction and targeted therapy, 7(1):48, 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2fab3f4-a8b0-4c1e-89e5-244dc98d4f2a · outbound

This paper cites Flashbias: Fast computation of attention with bias.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Flashbias: Fast computation of attention with bias

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3f0f06-baec-4727-b2e3-2ba89de23fb8 · outbound

This paper cites Root mean square layer normalization.Advances in neural information processing systems, 32, 2019.

Scalable Peptide Design via Memory-Efficient Equivariant Transformer Root mean square layer normalization.Advances in neural information processing systems, 32, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T05:32:47.288482Z

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Pith citing papers

No inbound Pith citation observations are available.