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Paper Citation Record · LEDGER

Diffusion Sequence Models for Enhanced Protein Representation and Generation

As of 8 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2506.08293.

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

pith.paper-citation-record.v1
2506.08293 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:25.325006Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:24.647617Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact32
  • verified fuzzy5
  • unresolved36
  • parse uncertain0
  • malformed identifier1
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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ce7de5cd-ea4f-4fad-8894-7f388d1d212b · outbound

This paper cites Synonymous mutations in representative yeast genes are mostly strongly non-neutral.Nature, 606(7915): 725–731, June 2022.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Synonymous mutations in representative yeast genes are mostly strongly non-neutral.Nature, 606(7915): 725–731, June 2022

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.746747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d4f8e3d5-de63-47ed-923e-58714b4cff33 · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:22:28.138967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.260029Z digest=sha256:fd14552b8c282d7b824ca4a7d13f48eac1ebfb548e14461256ceaddafb1f48c7

Observation 752d26bb-d509-425e-88ce-f862b940817b · outbound

This paper cites Gleghorn.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:22:28.213373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.375945Z digest=sha256:48ee0e3436f88452a94e45421e781836a5850eaa95190dc39f843dc8857adf9b

Observation 69abfa95-ae04-463d-a497-f151392fcaf8 · outbound

This paper cites Uniprot: the universal protein knowledgebase in 2023.Nucleic Acids Research, 51(D1):D523–D531, January 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Uniprot: the universal protein knowledgebase in 2023.Nucleic Acids Research, 51(D1):D523–D531, January 2023

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:19.569760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:19.569760Z digest=sha256:d320e64bb5168d7a2c578d60a65f2e6459083c5633ddc61632ed2dd4a489d44d

Observation cc0cf82a-064e-4be6-92fb-969e49adcb76 · outbound

This paper cites Estimating the annotation error rate of curated GO database sequence annotations.BMC Bioinformatics, 8:170, 2007.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Estimating the annotation error rate of curated GO database sequence annotations.BMC Bioinformatics, 8:170, 2007

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.729918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.648143Z digest=sha256:15395c7346eb37961b1ce6a525ec71e650843df4bf5e10d7d77fa3f4edc6b11e

Observation 75525131-f062-43dc-b630-15649b6ea164 · outbound

This paper cites Enzymap: Exploiting protein annotation for modeling and predicting ec number changes in uniprot/swiss-prot.PLOS ONE, 9(2):e89162, February 2014.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Enzymap: Exploiting protein annotation for modeling and predicting ec number changes in uniprot/swiss-prot.PLOS ONE, 9(2):e89162, February 2014

Reference 6

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:22:19.720094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:19.720094Z digest=sha256:5bda683711a8211a478fbebac14324a868f43d2f71236fade171db09ddbb8cce

Observation 0aa1dad0-2812-4e0c-9d84-fdd86f6a6942 · outbound

This paper cites Accelerating biocatalysis discovery with machine learning: A paradigm shift in enzyme engineering, discovery, and design.ACS Catalysis, 13(21):14454–14469, November 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Accelerating biocatalysis discovery with machine learning: A paradigm shift in enzyme engineering, discovery, and design.ACS Catalysis, 13(21):14454–14469, November 2023

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.719568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.808645Z digest=sha256:4938901b4746086ca7e9a7d5178b5925965b64a2edf3a25372e0a5c1a3f16b2b

Observation baeac285-bf1e-48ad-89b5-f97f789d2f10 · outbound

This paper cites Millar-Haskell, Allyson M.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Millar-Haskell, Allyson M

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.713026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.876183Z digest=sha256:cb04f59c7dc92af287035906cae493eff8a4bb2ce0d51270ab5f7213dd21219c

Observation 6c505807-2d81-485c-bba4-1874f106a822 · outbound

This paper cites Edwards, Elias McComb, Jason P.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Edwards, Elias McComb, Jason P

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.707069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:19.977765Z digest=sha256:eff0b9b0c730f64f184009b56fd06d55a35e9409ce663df45582b08162a67627

Observation 76cadf5f-6b56-4199-9c84-cc7167aee6eb · outbound

This paper cites DeLong, Maitham A.

Diffusion Sequence Models for Enhanced Protein Representation and Generation DeLong, Maitham A

Reference 10

Resolution
verified exact
doi, observed 2026-08-07T05:22:28.207215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.071760Z digest=sha256:5febe89c3ff37b5cd78df44b73c3138e4e6132bfeaf57bd8f5ce456b058a6dbe

Observation 9f786aa8-0a34-474c-beb6-fe6fc9a59cd2 · outbound

This paper cites Nelson, N’Dea Irvin-Choy, Matthew K.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Nelson, N’Dea Irvin-Choy, Matthew K

Reference 11

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.700411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.153879Z digest=sha256:6ccc29e18afa779632edc79d8bc3bb072a1c7bb3179a9691ab71b76ab6bbf9e7

Observation 9aa08611-f599-426e-b269-7f4fe7edcc3f · outbound

This paper cites Gilbert and Jason P.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gilbert and Jason P

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:22:28.084955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.257818Z digest=sha256:7c5a63e6a4cbe1f3177413a9942f40417366b32106c0384fc652fdd6812c17c2

Observation 93abe646-f52e-462c-ba06-482f0b7bf7a6 · outbound

This paper cites Gleghorn.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.693858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.369208Z digest=sha256:3406a374b4752e666622ec9b26e0930aea21ef4007cf60a01a72851d09b20678

Observation 2702cd44-e972-4f13-827e-d63972d6f23e · outbound

This paper cites Roberts, Logan Hallee, and Chi Keung Lam.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Roberts, Logan Hallee, and Chi Keung Lam

Reference 14

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.687043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.477032Z digest=sha256:c09cc51f83f52762ddcfefa5eef09377e2170601513e08084a4a7fd70b8b6432

Observation 950b4829-a576-4c1a-9c2a-effff7326b60 · outbound

This paper cites The potential of gamma secretase as a therapeutic target for cardiac diseases.J Pers Med, 11(12):1294, 2021.

Diffusion Sequence Models for Enhanced Protein Representation and Generation The potential of gamma secretase as a therapeutic target for cardiac diseases.J Pers Med, 11(12):1294, 2021

Reference 15

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.680734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.558878Z digest=sha256:13260e2beb93a3c8a6c62feb91687686b7c5d66a44d8ab10330f636ae82f7881

Observation 860fee61-9ba8-4317-b6ea-c17a30cd56f0 · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.674236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.656619Z digest=sha256:ecc3d9991200d6d9c4f60efcdb055d137b2d466e4fadfe74291129120d1a63a2

Observation 36c68896-d1f3-4e83-8f82-5f1227100d4c · outbound

This paper cites The catalytic role of rubisco for in situ co2 recycling in escherichia coli.Frontiers in Bioengineering and Biotechnology, 8, November 2020.

Diffusion Sequence Models for Enhanced Protein Representation and Generation The catalytic role of rubisco for in situ co2 recycling in escherichia coli.Frontiers in Bioengineering and Biotechnology, 8, November 2020

Reference 17

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:22:28.014081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.738173Z digest=sha256:f719ede34dfd801414c053b8ef09ada6de93edc06f6b2550dbddc67afb45babd

Observation 530beadb-9368-44f6-b831-76f2f57ca7a3 · outbound

This paper cites Protein-based biological materials: Molecular design and artificial production.Chemical Reviews, 123(5):2049–2111, March 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Protein-based biological materials: Molecular design and artificial production.Chemical Reviews, 123(5):2049–2111, March 2023

Reference 18

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.667243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:20.850050Z digest=sha256:47e1e3aed40a270086cc637da7c2995718199f58fbd6d078e05ee25d0b85bb5b

Observation a0666225-f5c0-4694-83cb-e2b5016a5c4e · outbound

This paper cites ProtTrans: Toward understanding the language of life through self-supervised learning.IEEE Trans Pattern Anal Mach Intell, 44 (10):7112–7127, 2022.

Diffusion Sequence Models for Enhanced Protein Representation and Generation ProtTrans: Toward understanding the language of life through self-supervised learning.IEEE Trans Pattern Anal Mach Intell, 44 (10):7112–7127, 2022

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:20.963990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:20.963990Z digest=sha256:d4bc767827eccbf6348996d73f53fbeefd9e3a4e70e70be60911ab48f2c79a99

Observation cc74f997-ab5c-4540-9368-d8241ce7a82e · outbound

This paper cites Gleghorn.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.660139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:21.061487Z digest=sha256:b0ce318e7d8d5a8c2ac5864f8dd3da3899e781108eaf06ae79055354594abcac

Observation 0155d60d-984c-4740-9220-e45cd556f667 · outbound

This paper cites CodonBERT: Large language models for mRNA design and optimization.bioRxiv, 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation CodonBERT: Large language models for mRNA design and optimization.bioRxiv, 2023

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.153782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.153782Z digest=sha256:bc0c2ae13decdd1276230dfd5181590a8bc32cb8d21aadacb3fa3316ee3fd25a

Observation 86b28f52-19bd-4596-af40-551b108e0e90 · outbound

This paper cites CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism.Bioinformatics, page btae330, 2024.

Diffusion Sequence Models for Enhanced Protein Representation and Generation CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism.Bioinformatics, page btae330, 2024

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.233317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.233317Z digest=sha256:3c37da9af22182ab57ce81432ae104e2889a7d613c6261e95daf553bb0d9cd0a

Observation 84d11b7c-4d1c-4df8-a407-602eaec69655 · outbound

This paper cites Durrant, Armin W.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Durrant, Armin W

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.643763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:21.296260Z digest=sha256:968e8e586960afaaa4803030732df47648f95153661f91ef001ab3a825170c78

Observation b0c5b22e-bc4f-4f38-913a-03ddf9de9c9d · outbound

This paper cites ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling.

Diffusion Sequence Models for Enhanced Protein Representation and Generation ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:22:27.450271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:21.374608Z digest=sha256:47d78786ec432a4b46efb19c99f4d36f32a10d4155e3555db6d6c779f8440878

Observation 34a51f2e-acb4-4977-aac0-a53b4b6085a6 · outbound

This paper cites Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.477735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.477735Z digest=sha256:504cb2227779dad10515e582eb3266af038e1a4c985bb18328a5e478749cb1d2

Observation a5782868-1dca-46be-a7fd-7420fcc07ae6 · outbound

This paper cites Lawrence Zitnick, Jerry Ma, and Rob Fergus.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Lawrence Zitnick, Jerry Ma, and Rob Fergus

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.557776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.557776Z digest=sha256:f06998227ffe31a062897fd0d4eee4934954a73a241352f9f5422ac119ed94ac

Observation d21e3fed-4aa5-4496-b2ac-06900a018aae · outbound

This paper cites Amini, Yisong Yue, Kevin K.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Amini, Yisong Yue, Kevin K

Reference 27

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.298605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:21.646429Z digest=sha256:b1b6b486b72d2026b3b207e694216834fd5780cdec25240fff67f01fa813c01e

Observation 0df3b15d-cca8-4dda-90f9-6a26e8a861e7 · outbound

This paper cites Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.725863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.725863Z digest=sha256:fcc9a38ab1d979cb8586a1ec1da79ce781f850f3c3a434ed1fd94e97a795f0e5

Observation b01295a1-381a-4fa0-a8da-ea1bde9c43e7 · outbound

This paper cites Vernon, Almer van der Sloot, Benjamin Schulz, Sarath Chandar, and Christopher James Langmead.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Vernon, Almer van der Sloot, Benjamin Schulz, Sarath Chandar, and Christopher James Langmead

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:21.873643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:21.873643Z digest=sha256:a05c6018ec0378c2aecc7ba3eec1549fd531e2d9aae1d51b4fc1819fcc564a2a

Observation 27186080-1df4-4ed6-8a53-c25bb934ce8d · outbound

This paper cites Siddiqui, Albert Gu, Michael D.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Siddiqui, Albert Gu, Michael D

Reference 31

Resolution
verified exact
doi, observed 2026-08-07T05:22:27.158459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:21.938702Z digest=sha256:f207182f30bd0a50e509c60732ca13b2482cf88bffd60eebd7ffb76007d03649

Observation fcd429d2-ca06-4e9d-a8ca-c9b41a67c20a · outbound

This paper cites Large Language Diffusion Models.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Large Language Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:22.008195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:22.008195Z digest=sha256:115fafe394e7d525b666c3c0910c43c751e032e7b7d22e6b25b3351b7d3ca48f

Observation be989c85-2eac-49a0-ab7f-c13a4728f99d · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379 (6637):1123–1130, March 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379 (6637):1123–1130, March 2023

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:22.056572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:22.056572Z digest=sha256:d205e1159b745c9c50e71a9ad2c9500b0c80b43039b7b516be0624587974f340

Observation bb9fb219-f21d-462a-95fc-a3f238600805 · outbound

This paper cites Calia, Chance A.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Calia, Chance A

Reference 34

Resolution
verified exact
doi, observed 2026-08-07T05:22:28.196768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:22.134241Z digest=sha256:389e3539736686dede1af7ac6159085353c17275098097349e7bad4546f34245

Observation 911a2b0d-a033-4548-8362-a7b2b9eceaeb · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:22.224688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:22.224688Z digest=sha256:984ead498cb17d78923434983b249e6f457fffb45a58b67b38696e29db22b6cc

Observation dc9dad0f-9b85-46bc-9039-30462a9db17f · outbound

This paper cites The omg dataset: An open metagenomic corpus for mixed-modality genomic language modeling.bioRxiv, August 2024.

Diffusion Sequence Models for Enhanced Protein Representation and Generation The omg dataset: An open metagenomic corpus for mixed-modality genomic language modeling.bioRxiv, August 2024

Reference 36

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Observation 2c3b6cd6-bdf0-472f-8a3a-2a8a017d313a · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 37

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source=pdf_text observed=2026-08-07T05:22:22.382751Z digest=sha256:fff3d9cacca6862e48f8604e3716562a6473b7b14571a243d438906186469656

Observation 366b682f-b0ed-4f64-a99d-6307c4554dad · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Neural Combinatorial Optimization with Reinforcement Learning

Reference 38

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no resolver link, observed 2026-08-07T05:22:22.471203Z

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source=pdf_text observed=2026-08-07T05:22:22.471203Z digest=sha256:2f6406886a62e4c5bfa33fc5f51f091a6b8c9beb260d7b54c450425d756e528f

Observation 85110463-ea5a-4f13-b6d1-d89dd81ce1f3 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Diffusion Sequence Models for Enhanced Protein Representation and Generation DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 39

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no resolver link, observed 2026-08-07T05:22:22.545068Z

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Observation b9890295-a074-412c-87b7-c2ccd7febe86 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 40

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no resolver link, observed 2026-08-07T05:22:22.615602Z

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source=pdf_text observed=2026-08-07T05:22:22.615602Z digest=sha256:82542695e5eac290abd0d36d29692bb00e93dcc6d5dfc239697decec9fba1fe3

Observation 9fd75fce-0950-4296-9741-9fb2a207e872 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Diffusion Sequence Models for Enhanced Protein Representation and Generation SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 41

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no resolver link, observed 2026-08-07T05:22:22.726343Z

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source=pdf_text observed=2026-08-07T05:22:22.726343Z digest=sha256:dbe7a0af3f3cb0dd80877c8365e88e013f9b57d58b751cf552b460b8355d58ef

Observation 6f117678-bc04-4f27-9316-adb6fafc1e4d · outbound

This paper cites Decoupled Weight Decay Regularization.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Decoupled Weight Decay Regularization

Reference 42

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no resolver link, observed 2026-08-07T05:22:22.854151Z

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source=pdf_text observed=2026-08-07T05:22:22.854151Z digest=sha256:d9e4034ae92903c8aefa5f7f260635fa95ee41263d7fc71723ac9bff560569dd

Observation b3d444a0-99e2-433e-979a-70a802b18759 · outbound

This paper cites Algorithmic Capabilities of Random Transformers.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Algorithmic Capabilities of Random Transformers

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:22:26.948583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:22.949760Z digest=sha256:2eae2d461cd8a47154d4e036d58d0f68f0003f5d61d7ee6b7b32c63ce58f1510

Observation aa91c55a-fbc3-4c9d-810e-3416a6c1d325 · outbound

This paper cites Training compute-optimal protein language models.bioRxiv, 2024.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Training compute-optimal protein language models.bioRxiv, 2024

Reference 44

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verified exact
doi, observed 2026-08-07T05:22:26.793088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.037594Z digest=sha256:55e70e030d107e9c8c6cd0b9fe95117ac20814b1eefda149d74d288657dd8ca9

Observation f8ca1fd5-505d-4290-ae14-6fb205bef5c7 · outbound

This paper cites Esm cambrian: Revealing the mysteries of proteins with unsupervised learning.Evolutionary Scale Blog, December 2024.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Esm cambrian: Revealing the mysteries of proteins with unsupervised learning.Evolutionary Scale Blog, December 2024

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T05:22:28.190309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.158375Z digest=sha256:11eb25166842f2c820910afcbcc40c9dbef296a8e82c5ea243f72ffaad2d7d44

Observation 9130ed50-b98a-4808-912f-29b30a407126 · outbound

This paper cites Gleghorn.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn

Reference 46

Resolution
verified exact
doi, observed 2026-08-07T05:22:26.681384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.232644Z digest=sha256:bea3e71f301b1d1156652acf0c522340bea4322112898755a6ebb8dea170a5ac

Observation 24c65ec4-fce3-41d8-b671-d4e740704824 · outbound

This paper cites Diffusion Language Models Are Versatile Protein Learners.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Diffusion Language Models Are Versatile Protein Learners

Reference 47

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no resolver link, observed 2026-08-07T05:22:23.278913Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:22:23.278913Z digest=sha256:c2f820b87f464eae47fac57176a81235f6c3d092c0152f81f9dafdcf42096612

Observation 47a84989-8769-4b40-ba81-1c3728280cb5 · outbound

This paper cites Attention Is All You Need.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Attention Is All You Need

Reference 48

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source=pdf_text observed=2026-08-07T05:22:23.341052Z digest=sha256:7bd9caf51ed843d8e50f4d1a997256b7f3ee47987047750dd3c5a172ef92b705

Observation 24944dc4-1c63-4b9d-b315-fc3757f9e6cf · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Diffusion Sequence Models for Enhanced Protein Representation and Generation RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 49

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no resolver link, observed 2026-08-07T05:22:23.431986Z

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source=pdf_text observed=2026-08-07T05:22:23.431986Z digest=sha256:0f06dea02f8182836e77fc2844f80120abc663522daa46d2f4513a19aefec510

Observation e814403e-4d89-4d09-87a5-d883dd427b23 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Diffusion Sequence Models for Enhanced Protein Representation and Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 50

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no resolver link, observed 2026-08-07T05:22:23.549959Z

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source=pdf_text observed=2026-08-07T05:22:23.549959Z digest=sha256:fd713b495b5f877053953ea619d52ecec9919465668c5b413f4b0a40b22f54f2

Observation 3ef324b7-b32b-4f4c-8d5b-f100a75cbe7b · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 51

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unresolved
raw_fallback, observed 2026-08-07T05:22:28.182100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.613783Z digest=sha256:c321a6c41e0d9b19d94e0cfe1ff7c6e4b0e8d9fab6745ac52e5f18f8b9854a70

Observation 571335e8-639c-4900-86d6-60be97540723 · outbound

This paper cites Divergence measures based on the shannon entropy.IEEE Transactions on Information Theory, 37(1):145–151, January 1991.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Divergence measures based on the shannon entropy.IEEE Transactions on Information Theory, 37(1):145–151, January 1991

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:22:28.175594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.685629Z digest=sha256:c06f50d9d805ee84108cd35f7faa633d3bd5aa6892f37a149301f2ee401a2b7e

Observation 04e1af43-9b24-49f3-a350-4a18a2163edc · outbound

This paper cites Introduction to information retrieval.Cambridge UP, 2009.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Introduction to information retrieval.Cambridge UP, 2009

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:22:28.169008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:23.745458Z digest=sha256:021a578f4fb2d1b0da6909fa391f91b99850ed8d60d1e2f09974882347960494

Observation d9052c7a-97b7-4c5c-b0c5-22ebb3665d4d · outbound

This paper cites Gable, Tao Fang, Nadezhda T.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gable, Tao Fang, Nadezhda T

Reference 54

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no resolver link, observed 2026-08-07T05:22:23.775297Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:22:23.775297Z digest=sha256:c4d73cbc0d0f20756565b692744ddddb6c6a4158f09a6447d7c454615c85f4a1

Observation a570a944-c943-4955-80e1-881f802a7cd1 · outbound

This paper cites Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.Bioinformatics (Oxford, England), 22 (13):1658–1659, July 2006.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.Bioinformatics (Oxford, England), 22 (13):1658–1659, July 2006

Reference 55

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no resolver link, observed 2026-08-07T05:22:23.847654Z

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source=pdf_text observed=2026-08-07T05:22:23.847654Z digest=sha256:7fb36f42572c6bc1f15fe08350856f47c67bf3de57ed0ab53b714a119fe98267

Observation e144e8de-e650-47cd-8df0-f15f2a1cf613 · outbound

This paper cites Gleghorn.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn

Reference 56

Resolution
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no resolver link, observed 2026-08-07T05:22:23.918419Z

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source=pdf_text observed=2026-08-07T05:22:23.918419Z digest=sha256:0905dd998a43a5d5a95f4c9598ba62b09324d2ec9ada2c6ca65c39bc430e5414

Observation 6c2521d7-97ec-48a1-8043-311b3be0df50 · outbound

This paper cites Ballard, Joshua Bambrick, Sebastian W.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Ballard, Joshua Bambrick, Sebastian W

Reference 57

Resolution
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no resolver link, observed 2026-08-07T05:22:23.988269Z

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source=pdf_text observed=2026-08-07T05:22:23.988269Z digest=sha256:d059a08f7311215a75b21e66cd57659871c2e421a2a625cabcf5376383503533

Observation 4434fce3-38ce-4e31-9dc7-7dc702997c32 · outbound

This paper cites SaProt: Protein language modeling with structure-aware vocabulary.bioRxiv, 2023.

Diffusion Sequence Models for Enhanced Protein Representation and Generation SaProt: Protein language modeling with structure-aware vocabulary.bioRxiv, 2023

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:24.039163Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:22:24.039163Z digest=sha256:df33bf95e67bc48dc05785ca897ac01c80c49bbc6bcb9ee6d0d787f48a9e91ff

Observation 947a2718-41f3-4c94-b282-3c5e2d7611e5 · outbound

This paper cites Protokens: Probabilistic vocabulary for compact and informative encodings of all-atom protein structures.bioRxiv, page 2023.11.27.568722, July 2024.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Protokens: Probabilistic vocabulary for compact and informative encodings of all-atom protein structures.bioRxiv, page 2023.11.27.568722, July 2024

Reference 59

Resolution
verified exact
doi, observed 2026-08-07T05:22:26.529197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ba388abb-537f-445e-8927-b939ae8e5785 · outbound

This paper cites Khomtchouk.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Khomtchouk

Reference 60

Resolution
verified exact
doi, observed 2026-08-07T05:22:26.392312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d09a8043-c27a-4b87-9a80-753bfebddca6 · outbound

This paper cites Gleghorn, and Bohdan B.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Gleghorn, and Bohdan B

Reference 61

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no resolver link, observed 2026-08-07T05:22:24.254681Z

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source=pdf_text observed=2026-08-07T05:22:24.254681Z digest=sha256:906840a3ccbead72e0fdbe1a87e43a217aae87bdfaac80af74f69aa8a5a28776

Observation d66fe8c3-aa6a-4fa6-98fd-792774f34779 · outbound

This paper cites Carter, Samuel Curtis, Claudia Emerson, Jeffrey Gray, Ian C.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Carter, Samuel Curtis, Claudia Emerson, Jeffrey Gray, Ian C

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-07T05:22:28.158525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.309819Z digest=sha256:bd5652017b3d4fe84fb2685548d66307138ab20a17d7146c83a12698756861b1

Observation a6b2d5e5-3c30-4046-bd8e-e6232bea109e · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 63

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unresolved
no resolver link, observed 2026-08-07T05:22:24.362032Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:22:24.362032Z digest=sha256:e40fbe3526ce7b14020cf376f3ae93308dbe1e97b0ea41ba2690be2393721292

Observation 118c6da4-95e7-4a3c-bc83-74ac2e6ed991 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Diffusion Sequence Models for Enhanced Protein Representation and Generation Deep Learning using Rectified Linear Units (ReLU)

Reference 64

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no resolver link, observed 2026-08-07T05:22:24.416161Z

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source=pdf_text observed=2026-08-07T05:22:24.416161Z digest=sha256:f7c8152c244b04c2a2f7a58cc823976e0d675e5ee4d32d02a85178f77544b9e0

Observation 5bb7c414-346d-4fec-b8c8-725a1c83179b · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Improving neural networks by preventing co-adaptation of feature detectors

Reference 65

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no resolver link, observed 2026-08-07T05:22:24.490092Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:22:24.490092Z digest=sha256:76a5be05d3704cc292d506bf613ac0b78b28a4876fed9359c73eb6e70c6c6297

Observation f3ee38f8-8bce-455c-8c8e-ed1496dbc5cc · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 66

Resolution
verified exact
doi, observed 2026-08-07T05:22:26.251311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.559627Z digest=sha256:24d7908ae441ccab8f59957defdea78a389aeff5be6e8e7b764dcd4aebf780bb

Observation fae71bfb-1a9b-47f8-ad9e-ea375d89ba32 · outbound

This paper cites Sixty-five years of the long march in protein secondary structure prediction: the final stretch?Briefings in Bioinformatics, 19(3):482–494, May 2018.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Sixty-five years of the long march in protein secondary structure prediction: the final stretch?Briefings in Bioinformatics, 19(3):482–494, May 2018

Reference 67

Resolution
verified exact
doi, observed 2026-08-07T05:22:26.068403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.608200Z digest=sha256:7f6b64c659934e8a2ae79926e6f418b0dd9c6a23e40d25f36372adbfb76c2097

Observation 118ca2aa-88aa-43d5-b6e0-24fb714d61cc · outbound

This paper cites Ghamary, Laura Vinué, Brahm J.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Ghamary, Laura Vinué, Brahm J

Reference 68

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unresolved
no resolver link, observed 2026-08-07T05:22:24.667539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:24.667539Z digest=sha256:8b8b1461a7fe745623b4f7a8d4201477e9aa8767814b4e00728004745736993d

Observation a2131314-7c4e-4355-9bd2-e631507e9ace · outbound

This paper cites De novo design of high-affinity protein binders with AlphaProteo.

Diffusion Sequence Models for Enhanced Protein Representation and Generation De novo design of high-affinity protein binders with AlphaProteo

Reference 69

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unresolved
no resolver link, observed 2026-08-07T05:22:24.747354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:24.747354Z digest=sha256:395f31b775c0211e5ff0bf2a562d16282f88e77b632bad58ec32ff4e02608846

Observation 99d85c52-ebec-4b84-9dcf-965262de6feb · outbound

This paper cites Hutter, Fabian M.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Hutter, Fabian M

Reference 70

Resolution
verified exact
doi, observed 2026-08-07T05:22:25.885430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.808799Z digest=sha256:b2ac69a25fbcfb6e69dd2038e449d358b15389dc6966ee523d13066a00e6f6c1

Observation b05906c6-1c4c-403b-8818-bc3196190103 · outbound

This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 71

Resolution
verified exact
doi, observed 2026-08-07T05:22:25.726649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.867536Z digest=sha256:12aba161e95714da690f1aff74d5e501b2f6d0e457305667904fff607cde74db

Observation 32545265-3de6-4b8e-aae2-19ed050f1b31 · outbound

This paper cites Desbien, John W.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Desbien, John W

Reference 72

Resolution
verified exact
doi, observed 2026-08-07T05:22:25.492649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:24.940289Z digest=sha256:29297fec20d42d9e217f63d5dad99557927c44273fecd230f9e6720b432a2508

Observation 5a60698b-692b-4f71-8693-155f0b824190 · outbound

This paper cites De novo design protein binders for mbp and gst tags.Biochemical and Biophysical Research Communications, 748:151322, February 2025.

Diffusion Sequence Models for Enhanced Protein Representation and Generation De novo design protein binders for mbp and gst tags.Biochemical and Biophysical Research Communications, 748:151322, February 2025

Reference 73

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:22:27.849857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:22:25.086991Z digest=sha256:414d5c000e05f4e3d129a9beddf82baef1526c02c9736273811762f67bc28665

Observation e2487525-3bdd-42f0-86ed-bd3d5406bf65 · outbound

This paper cites Hicks, Agnidipta Ghosh, Tristin A.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Hicks, Agnidipta Ghosh, Tristin A

Reference 74

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This paper cites an unresolved cited work.

Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 75

Resolution
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Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 76

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Diffusion Sequence Models for Enhanced Protein Representation and Generation Unresolved cited work

Reference 2024

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Pith citing papers

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A Survey on Diffusion Language Models cites this paper.

A Survey on Diffusion Language Models Diffusion Sequence Models for Enhanced Protein Representation and Generation

Reference 127

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Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings cites this paper.

Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings Diffusion Sequence Models for Enhanced Protein Representation and Generation

Reference 8

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