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Paper Citation Record · LEDGER

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation

As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2605.25242.

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

pith.paper-citation-record.v1
2605.25242 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

58 of 58 outbound references displayed

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Outbound references

Observation 125538cd-db8d-43a1-a3bb-774b61335a64 · outbound

This paper cites Joint-Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self-Supervised Learning.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Joint-Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self-Supervised Learning

Reference 1

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Observation 2c58165e-bf3d-4bd4-9515-6dd57bed68f5 · outbound

This paper cites Ledsam, Agnieszka Grabska- Barwinska, Kyle R.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Ledsam, Agnieszka Grabska- Barwinska, Kyle R

Reference 2

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Observation 82873b42-cf50-4314-8dff-c6451f23c3c2 · outbound

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C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Unresolved cited work

Reference 3

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Observation 04f6ed65-266c-4268-82c5-062d992eb051 · outbound

This paper cites Baumgart, Ji Eun Lee, Asaf Salamov, David J.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Baumgart, Ji Eun Lee, Asaf Salamov, David J

Reference 4

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Observation dc555232-9241-4b35-9a5f-4e04aa6783f6 · outbound

This paper cites Durrant, Jerome Ku, Mohsen Naghipourfar, Michael Poli, Gwang- gyu Sun, Greg Brockman, Daniel Chang, Alison Fanton, Gabriel A.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Durrant, Jerome Ku, Mohsen Naghipourfar, Michael Poli, Gwang- gyu Sun, Greg Brockman, Daniel Chang, Alison Fanton, Gabriel A

Reference 5

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Observation f8fcab5d-d5b1-4534-a672-cf30c49e0352 · outbound

This paper cites Exploring Simple Siamese Representation Learning, November.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Exploring Simple Siamese Representation Learning, November

Reference 6

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Observation ba62fa58-1cf0-4731-b04a-4eac26a266ed · outbound

This paper cites Exploring Simple Siamese Representation Learning.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Exploring Simple Siamese Representation Learning

Reference 7

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Observation dabf1a58-cc9d-4425-a07b-5d07b62cb060 · outbound

This paper cites Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J

Reference 8

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Observation fefe301c-8808-456f-9d45-99fef5f0bfe9 · outbound

This paper cites The OMG dataset: An open metagenomic corpus for mixed-modality genomic language modeling.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation The OMG dataset: An open metagenomic corpus for mixed-modality genomic language modeling

Reference 9

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Observation 9915b7b9-f9c7-4fc6-b773-199a9ee00c76 · outbound

This paper cites Eisen, Paul T.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Eisen, Paul T

Reference 10

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Observation ba30f21e-c534-439a-9b48-44ed57b763db · outbound

This paper cites Learning Visual Representations via Language-Guided Sampling.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Learning Visual Representations via Language-Guided Sampling

Reference 11

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Observation 73e39f7d-bed0-472c-aeb9-443957f1a8b6 · outbound

This paper cites Frey, Leo J.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Frey, Leo J

Reference 12

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Observation c5cd39d4-8ffe-4a47-93c0-e66cb84ad085 · outbound

This paper cites NCBI RefSeq: reference sequence standards through 25 years of curation and annotation.Nucleic Acids Research, 53(D1):D243–D257, January 2025.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation NCBI RefSeq: reference sequence standards through 25 years of curation and annotation.Nucleic Acids Research, 53(D1):D243–D257, January 2025

Reference 13

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Observation 7efd8edb-cebd-4310-95e0-e1bc2b98768f · outbound

This paper cites Halper, Daniel P.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Halper, Daniel P

Reference 14

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Observation 3aa710a0-57ad-46f1-94d4-c97f1ddea227 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Scaling up visual and vision-language representation learning with noisy text supervision

Reference 15

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Observation fbaaca76-8a29-493a-8a8e-8075ec4c202f · outbound

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C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Unresolved cited work

Reference 16

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Observation 9019adc4-7b9f-4b01-a7eb-576bdacd1bd3 · outbound

This paper cites Scaling Laws for Neural Language Models.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Scaling Laws for Neural Language Models

Reference 17

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Observation 80a9ad3c-076a-4688-b2b3-3b14567ffc51 · outbound

This paper cites Flexible comparative genomics of prokaryotic transcriptional regulatory networks.BMC Genomics, 21(5):466, December 2020.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Flexible comparative genomics of prokaryotic transcriptional regulatory networks.BMC Genomics, 21(5):466, December 2020

Reference 18

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Observation a858646d-c015-4dd3-a61a-112e555d627e · outbound

This paper cites LaFleur, Ayaan Hossain, and Howard M.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation LaFleur, Ayaan Hossain, and Howard M

Reference 19

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Observation 5dae6292-3b3a-473d-8b7f-2f5445c8e37f · outbound

This paper cites Harnessing a unified multi-modal sequence modeling to unveil protein-dna interdependency.bioRxiv, pages 2025–02, 2025.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Harnessing a unified multi-modal sequence modeling to unveil protein-dna interdependency.bioRxiv, pages 2025–02, 2025

Reference 20

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Observation 1e4dbd08-20c2-4995-8a6d-85f935392756 · outbound

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

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Evolutionary-scale prediction of atomic- level protein structure with a language model.Science, 379(6637):1123–1130, March 2023

Reference 21

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Observation f0c9a4de-b446-4e9a-bd19-644ee84afb2e · outbound

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C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Unresolved cited work

Reference 22

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Observation 6b22340a-4f2b-4e7b-8447-3eb195a3920f · outbound

This paper cites Decoupled weight decay regularization.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Decoupled weight decay regularization

Reference 23

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Observation bde52fa4-59aa-4a0f-b5b4-2fbf7727f4a1 · outbound

This paper cites A census-based estimate of Earth’s bacterial and archaeal diversity.PLOS Biology, 17(2):e3000106, February 2019.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation A census-based estimate of Earth’s bacterial and archaeal diversity.PLOS Biology, 17(2):e3000106, February 2019

Reference 24

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Observation 417175b9-1f81-48f2-b506-03f48b1147af · outbound

This paper cites Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning

Reference 25

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Observation 8c2620c4-8ac6-4f40-94ea-287069700e3b · outbound

This paper cites Lu, Haoran Zhang, Marzyeh Ghassemi, and Alan Moses.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Lu, Haoran Zhang, Marzyeh Ghassemi, and Alan Moses

Reference 26

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Observation fa8332c0-0898-4dc5-ad9a-b7b5a6a80e41 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 27

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Observation e88d70a0-e307-46f6-a292-3bfc2dcfa4e7 · outbound

This paper cites Moses, Jason E.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Moses, Jason E

Reference 28

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Observation 1be5a481-b481-406a-9a4f-37a3f5ebdb61 · outbound

This paper cites A Metric Learning Reality Check.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation A Metric Learning Reality Check

Reference 29

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Observation 246836a2-8eb9-4029-9c10-2769e9363ff2 · outbound

This paper cites Durrant, Brian Kang, Dhruva Katrekar, David B.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Durrant, Brian Kang, Dhruva Katrekar, David B

Reference 30

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Observation afb0956b-348a-46a2-99ff-b68f528cc4e9 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Representation Learning with Contrastive Predictive Coding

Reference 31

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Observation 450d4881-ecc7-4cc3-b546-396db16cba0f · outbound

This paper cites O’Leary, Eric Cox, J.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation O’Leary, Eric Cox, J

Reference 32

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Observation b4c532c3-a9a2-46e9-bb49-31cfcf7c5ff4 · outbound

This paper cites Pedregosa, G.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Pedregosa, G

Reference 33

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Observation d3975ec6-f7be-4d9b-a849-306f99f34819 · outbound

This paper cites Stripedhyena: Moving beyond transformers with hybrid signal processing models.GitHub repository, 12, 2023.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Stripedhyena: Moving beyond transformers with hybrid signal processing models.GitHub repository, 12, 2023

Reference 34

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Observation 57a406b1-2437-44c2-b080-63ebf55ef4ad · outbound

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C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Unresolved cited work

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Observation 0214b251-1284-4b13-97c1-9b85ac12b9a4 · outbound

This paper cites Learning transferable visual models from natural language supervision.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Learning transferable visual models from natural language supervision

Reference 36

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Observation 4c51c1ee-e51a-44a5-98f1-c98583e5b51c · outbound

This paper cites Robust and Decomposable Average Precision for Image Retrieval.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Robust and Decomposable Average Precision for Image Retrieval

Reference 37

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:2225522727e15d85cfa2380714b42395d5878bd79c39780078814e6a41183c4d

Observation 44cf94f2-cd23-446a-9e70-88713014a51b · outbound

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

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Lawrence Zitnick, Jerry Ma, and Rob Fergus

Reference 38

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:a8b2af2864df34388ae72bb9d5b32d8da07c73e0b13c3026907924439cafd509

Observation 2cd483cd-874a-456e-a941-d3e478c31afc · outbound

This paper cites iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.Nucleic Acids Research, 49(D1):D112–D120, January 2021.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.Nucleic Acids Research, 49(D1):D112–D120, January 2021

Reference 39

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:7f75963a89be0ba4d0ce21ff5d1c2c6eea2eee3b51004d105be4b11e67145975

Observation e7f31252-34fc-410e-9858-a502b14dcf58 · outbound

This paper cites RegulonDB v12.0: a comprehensive resource of transcriptional regulation in E.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation RegulonDB v12.0: a comprehensive resource of transcriptional regulation in E

Reference 40

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:06b1f12fc58ea80fc9180d0dc1001591ab1177b0c72403e05ddf8fd9ef6f5cf9

Observation 7cd83415-5349-4907-92e6-0550e9231488 · outbound

This paper cites Sangster, Cameron Dufault, Haoning Qu, Denise Le, Julie D.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Sangster, Cameron Dufault, Haoning Qu, Denise Le, Julie D

Reference 41

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:9945c9499dc315cb68dd3aab9364ec6a5cb6a0e8e391b64c6961dcda44e7336f

Observation 8c80d4b9-2e8d-47ab-aa3f-becb37ea663d · outbound

This paper cites Sastry, Ye Gao, Richard Szubin, Ying Hefner, Sibei Xu, Donghyuk Kim, Kumari Sonal Choudhary, Laurence Yang, Zachary A.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Sastry, Ye Gao, Richard Szubin, Ying Hefner, Sibei Xu, Donghyuk Kim, Kumari Sonal Choudhary, Laurence Yang, Zachary A

Reference 42

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:f9d35ef35923d3fec66ae23fee3c39f43580083070e72439980121c524054b14

Observation 0866e08c-e5af-486d-9a67-904af50732a9 · outbound

This paper cites GenBank 2025 update.Nucleic Acids Research, 53(D1):D56–D61, January 2025.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation GenBank 2025 update.Nucleic Acids Research, 53(D1):D56–D61, January 2025

Reference 43

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:ad19ecba486f226d3f0e15d5775577d92a6bba4a8dba54924a0b3393a8724681

Observation d0c9635b-84ac-4e4c-ad9e-916322f33715 · outbound

This paper cites MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature Biotechnology, 35(11):1026–1028, November 2017.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature Biotechnology, 35(11):1026–1028, November 2017

Reference 44

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:2d5930a2d4dfd13d820c97f2b08388cf865f53d6df1456183f39b0af76f60174

Observation 1e35db60-7dc6-42d9-9803-bf93827cfe78 · outbound

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

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 45

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verified exact
local_arxiv, observed 2026-06-29T23:14:02.072427Z

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=2026-06-29T23:05:26.500029Z digest=sha256:2a3630d89d20b7fd44aaa9c5626fcc43806b6d463aa1b7e85fd0e0fc64f41712

Observation fc97f99e-d03b-4c04-afdc-f23051cb78ea · outbound

This paper cites an unresolved cited work.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Unresolved cited work

Reference 46

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:911f7678cf2b90ff5b313a2492ccc81424dea43d9028844b95fb383af1a4c0c2

Observation bf38a8d4-00fa-403a-b1bd-66e4cf235a4f · outbound

This paper cites Esm cambrian: Revealing the mysteries of proteins with unsupervised learning.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Esm cambrian: Revealing the mysteries of proteins with unsupervised learning

Reference 47

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:e1425f286ce90ec5d575d594b0f6f4b0b5c15fe15d78562932cb7d7cf7299226

Observation dbcb8845-3e2e-4f2d-8259-9eb4388fc4ca · outbound

This paper cites Tripp, Kimberly D.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Tripp, Kimberly D

Reference 48

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:42b2f226ce6a7138a6b26a8e5d636df51ee866491db825c4045ba6b96e8c6b9f

Observation 9b3f242c-1c53-4ff8-af2d-2be6a1995685 · outbound

This paper cites Attention is All you Need.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Attention is All you Need

Reference 49

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:6228418b3e56c90ab618491bdda18a02ca266228c32148400a6fa74869d675df

Observation 46ee1569-513b-4fc8-99c3-5c589727342d · outbound

This paper cites Tokenization to transfer: Do genomic foundation models learn good representations? InThe Fourteenth International Conference on Learning Representations, 2026.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Tokenization to transfer: Do genomic foundation models learn good representations? InThe Fourteenth International Conference on Learning Representations, 2026

Reference 50

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:275b97ab0dd96c32210466f883714c9ede44552f193846e39606860a9b57a693

Observation d5d97692-7a17-40b4-9209-9a9012acddca · outbound

This paper cites Weirauch and Timothy R.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Weirauch and Timothy R

Reference 51

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:de50d05120a87831ae9eac7d93427a23853605fb845d096668456eb3a8f94120

Observation 106e52a0-58f7-4064-96c5-fe7aec3de21b · outbound

This paper cites Design prokaryotic cis-regulatory elements using language model.Nucleic Acids Research, 54(4):gkag122, February 2026.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Design prokaryotic cis-regulatory elements using language model.Nucleic Acids Research, 54(4):gkag122, February 2026

Reference 52

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:a2fbf63bb87072b20a53219d61b9b2ee8b868a2f13592833013d251f21544d4e

Observation 4e3a72aa-3d1f-42aa-a230-9a58343740c3 · outbound

This paper cites DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classification.BMC Bioinformatics, 25(1):328, October 2024.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classification.BMC Bioinformatics, 25(1):328, October 2024

Reference 53

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:0b26de84e6eeb20b8c7d23dca916bcb73349f49f7e338d186985ffc6023ec785

Observation 76f40ede-a570-446c-a72b-d380a2b37b34 · outbound

This paper cites Yu, Winnie L.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Yu, Winnie L

Reference 54

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:c069566771123a811cdeedeba0acd8fc33b0690b681885c8ee49938374d67758

Observation a576054a-9247-4006-b009-7d67ca187f7f · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Lit: Zero-shot transfer with locked-image text tuning

Reference 55

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:10d7419782ef754ebc5f6429f8eacae24180af924215cce80bd08510ad07fb54

Observation 431fe75d-4bde-45e2-9979-e68e631d27a1 · outbound

This paper cites Wayment-Steele, Garyk Brixi, Haobo Wang, Dorothee Kern, and Sergey Ovchinnikov.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation Wayment-Steele, Garyk Brixi, Haobo Wang, Dorothee Kern, and Sergey Ovchinnikov

Reference 56

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:c625d4c76d4849300fc3fb887c494b45bda8991b4a3020d4eb307489856d16a6

Observation e2e98917-f087-4052-bc31-93832ab3911b · outbound

This paper cites In their evaluations the authors used the final layer embeddings of the Evo 7B model, averaged over the sequence length and having a dimensionality of 4,096.

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation In their evaluations the authors used the final layer embeddings of the Evo 7B model, averaged over the sequence length and having a dimensionality of 4,096

Reference 57

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:5ce8f5095cf08a9c87476a283ba3cbd0d66b3c6df85c6a8a5afc413b7cff43e1

Observation 3abac2e7-9a1d-42ba-b5bb-1ce3ed9cf8b2 · outbound

This paper cites 2.4T tokens) with sequences from all domains of life (downloaded from https://huggingface.co/arcinstitute/evo2_7b, apache-2.0 license).

C3P: Contrastive promoter-protein pretraining yields representations capturing bacterial gene regulation 2.4T tokens) with sequences from all domains of life (downloaded from https://huggingface.co/arcinstitute/evo2_7b, apache-2.0 license)

Reference 58

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source=pdf_text observed=2026-06-29T23:05:26.500029Z digest=sha256:a43e8947d71d5afa200409e9277cea1e4ab3845dae12232c19b46ea1990b5bf6

Pith citing papers

No inbound Pith citation observations are available.