Paper Citation Record · LEDGER

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2505.23862.

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

pith.paper-citation-record.v1
2505.23862 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

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measured 64 of 64 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T23:16:55.083701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:43:29.167919Z

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 1300eeae-fc61-4fee-bff8-402550e51e1a · outbound

This paper cites BMC Bioinformatics24(1), 132 (2023) https://doi.org/10.1186/s12859-023-05246-8.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors BMC Bioinformatics24(1), 132 (2023) https://doi.org/10.1186/s12859-023-05246-8

Reference 1

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Observation f7849467-e8de-473a-a406-9f5896e335bd · outbound

This paper cites Front Bioeng Biotechnol12, 1371596 (2024).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Front Bioeng Biotechnol12, 1371596 (2024)

Reference 2

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Observation 4db8ab08-24b7-4a50-9237-b4c140eb5bbd · outbound

This paper cites Molecular Cell61(3), 341–351 (2016) https:// doi.org/10.1016/j.molcel.2016.01.008.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Molecular Cell61(3), 341–351 (2016) https:// doi.org/10.1016/j.molcel.2016.01.008

Reference 3

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This paper cites Nucleic Acids Research15(3), 1281–1295 (1987) https://doi.org/10.1093/nar/15.3.1281 https://academic.oup.com/nar/article-pdf/15/3/1281/3988268/15-3-1281.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic Acids Research15(3), 1281–1295 (1987) https://doi.org/10.1093/nar/15.3.1281 https://academic.oup.com/nar/article-pdf/15/3/1281/3988268/15-3-1281.pdf

Reference 4

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Observation 11cf975a-7125-4637-b7b9-1e1518be87d2 · outbound

This paper cites Elife8(2019).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Elife8(2019)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:29.277813Z

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Observation e3635019-8917-45af-ab06-b5189555e7a2 · outbound

This paper cites Nucleic Acids Res31(23), 6976–6985 (2003).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic Acids Res31(23), 6976–6985 (2003)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:29.214283Z

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Observation 3000fec4-7a37-41d3-9d6d-4b3a16e78a1c · outbound

This paper cites Nucleic Acids Research32(17), 5036–5044 (2004) https://doi.org/10.1093/nar/gkh834 https://academic.oup.com/nar/article-pdf/32/17/5036/4156320/gkh834.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic Acids Research32(17), 5036–5044 (2004) https://doi.org/10.1093/nar/gkh834 https://academic.oup.com/nar/article-pdf/32/17/5036/4156320/gkh834.pdf

Reference 7

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Observation e2febdbd-aa87-4679-848c-df0a3981e3e8 · outbound

This paper cites an unresolved cited work.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Unresolved cited work

Reference 9

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Observation ef4d17d2-6e1c-48cd-b299-ef7870a54aa3 · outbound

This paper cites Proceedings of the National Academy of Sciences 101(19), 7287–7292 (2004) https://doi.org/10.1073/pnas.0401799101 https://www.pnas.org/doi/pdf/10.1073/pnas.0401799101.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Proceedings of the National Academy of Sciences 101(19), 7287–7292 (2004) https://doi.org/10.1073/pnas.0401799101 https://www.pnas.org/doi/pdf/10.1073/pnas.0401799101

Reference 10

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Observation 622f2973-a241-4f24-944b-6643dca113d4 · outbound

This paper cites G3 Genes—Genomes—Genetics5(1), 73–80 (2015) https: //doi.org/10.1534/g3.114.015099 https://academic.oup.com/g3journal/article- pdf/5/1/73/37191150/g3journal0073.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors G3 Genes—Genomes—Genetics5(1), 73–80 (2015) https: //doi.org/10.1534/g3.114.015099 https://academic.oup.com/g3journal/article- pdf/5/1/73/37191150/g3journal0073.pdf

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T12:55:25.039693Z

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Observation 103a88f5-9fd6-4d12-81ba-3ff1ac1a809d · outbound

This paper cites Mol Ther Nucleic Acids12, 530–542 (2018).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Mol Ther Nucleic Acids12, 530–542 (2018)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:29.103390Z

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Observation d31c6398-1d4e-4f96-bfcb-e474489033b3 · outbound

This paper cites NAR Genomics and Bioinformatics6(1), 028 (2024) https: //doi.org/10.1093/nargab/lqae028 https://academic.oup.com/nargab/article- pdf/6/1/lqae028/56958324/lqae028.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors NAR Genomics and Bioinformatics6(1), 028 (2024) https: //doi.org/10.1093/nargab/lqae028 https://academic.oup.com/nargab/article- pdf/6/1/lqae028/56958324/lqae028.pdf

Reference 13

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This paper cites Bioinformatics36(16), 4508–4509 (2020) https://doi.org/10.1093/ bioinformatics/btaa558 https://academic.oup.com/bioinformatics/article- pdf/36/16/4508/50676819/btaa558.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Bioinformatics36(16), 4508–4509 (2020) https://doi.org/10.1093/ bioinformatics/btaa558 https://academic.oup.com/bioinformatics/article- pdf/36/16/4508/50676819/btaa558.pdf

Reference 14

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Observation f5fe322e-a1df-4da0-934c-857fe88102be · outbound

This paper cites Accessed: 2025-02-19 (2025).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Accessed: 2025-02-19 (2025)

Reference 15

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Observation 19b63b26-1bf1-4471-b0fa-cc7f59de69cf · outbound

This paper cites Bioin- formatics (Oxford, England)32(6), 828–834 (2016) https://doi.org/10.1093/ bioinformatics/btv678.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Bioin- formatics (Oxford, England)32(6), 828–834 (2016) https://doi.org/10.1093/ bioinformatics/btv678

Reference 16

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Observation 19b6617a-cc4f-4534-b353-e9dca5c430a4 · outbound

This paper cites Nature621(7978), 396–403 (2023) https://doi.org/10.1038/s41586-023-06127-z.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature621(7978), 396–403 (2023) https://doi.org/10.1038/s41586-023-06127-z

Reference 17

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A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors bioRxiv (2025) https://doi.org/10.1101/2025.02.18.638918 https://www.biorxiv.org/content/early/2025/02/21/2025.02.18.638918.full.pdf

Reference 18

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This paper cites Sci- entific Reports10(1), 17617 (2020) https://doi.org/10.1038/s41598-020-74091-z.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Sci- entific Reports10(1), 17617 (2020) https://doi.org/10.1038/s41598-020-74091-z

Reference 19

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A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Journal of Compu- tational Biology30(1), 70–81 (2023) https://doi.org/10.1089/cmb.2021.0458 https://doi.org/10.1089/cmb.2021.0458

Reference 20

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Observation 4048e1ab-6b0b-41ba-8fe7-b2c50f199cab · outbound

This paper cites Computational and Structural Biotechnology Journal18, 1811–1818 (2020) https://doi.org/10.1016/j.csbj.2020.06.035.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Computational and Structural Biotechnology Journal18, 1811–1818 (2020) https://doi.org/10.1016/j.csbj.2020.06.035

Reference 21

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Observation 29b2ebc7-5981-4136-af23-905140b364c2 · outbound

This paper cites In: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biol- ogy, and Health Informatics.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors In: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biol- ogy, and Health Informatics

Reference 22

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This paper cites Biochemical and Biophysical Research Communications356(1), 136–141 (2007) https://doi.org/10.1016/j.bbrc.2007.02.127.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Biochemical and Biophysical Research Communications356(1), 136–141 (2007) https://doi.org/10.1016/j.bbrc.2007.02.127

Reference 23

Resolution: verified exact; doi, observed 2026-08-07T12:55:24.580623Z

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This paper cites ACS Synthetic Biology9(5), 1051–1058 (2020) https: //doi.org/10.1021/acssynbio.9b00355.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors ACS Synthetic Biology9(5), 1051–1058 (2020) https: //doi.org/10.1021/acssynbio.9b00355

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T12:55:24.430517Z

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Observation fed827fc-eb90-444a-9203-ad01ef73908b · outbound

This paper cites ACS Synthetic Biology6(3), 555–565 (2017) https://doi.org/10.1021/ acssynbio.6b00263.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors ACS Synthetic Biology6(3), 555–565 (2017) https://doi.org/10.1021/ acssynbio.6b00263

Reference 25

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Observation 59e27ea7-436b-43b0-bd64-04a595399ebd · outbound

This paper cites Scientific Reports9(1), 8338 (2019) https://doi.org/10.1038/s41598-019-44500-z.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Scientific Reports9(1), 8338 (2019) https://doi.org/10.1038/s41598-019-44500-z

Reference 26

Resolution: verified exact; doi, observed 2026-08-07T12:55:24.335768Z

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Observation 9bfc0991-faa4-478c-aac5-6acd54ae2073 · outbound

This paper cites ACS Symposium Series, vol.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors ACS Symposium Series, vol

Reference 27

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Observation cc8292ef-c464-4a97-8c87-dd21a220ba3b · outbound

This paper cites BMC Bioinformatics11(1), 129 (2010) https://doi.org/ 10.1186/1471-2105-11-129.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors BMC Bioinformatics11(1), 129 (2010) https://doi.org/ 10.1186/1471-2105-11-129

Reference 28

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Observation c0e95d19-5367-4d83-b55a-e642703978b2 · outbound

This paper cites Nature Communications13(1), 1271 (2022) https://doi.org/10.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Communications13(1), 1271 (2022) https://doi.org/10

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.748636Z

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Observation 106f1fd4-706b-4f64-b92e-1734cfed920a · outbound

This paper cites Briefings in Bioinformatics24(1), 001 (2023) https://doi.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Briefings in Bioinformatics24(1), 001 (2023) https://doi

Reference 30

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Observation 219f4893-c0c3-4edf-ad0d-fb7db30e021a · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

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A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors bioRxiv, 2023–09 (2023)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.604586Z

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Observation 29d9aec9-dff2-4983-9792-f3dc3d26bbb3 · outbound

This paper cites Nature Machine Intelligence6(12), 1616–1625 (2024) https://doi.org/10.1038/ s42256-024-00946-z.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Machine Intelligence6(12), 1616–1625 (2024) https://doi.org/10.1038/ s42256-024-00946-z

Reference 33

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:55:28.441231Z

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Observation 078a04e4-d62b-4267-9578-fc2887ccf219 · outbound

This paper cites Nature Methods21(12), 2287–2298 (2024) https: //doi.org/10.1038/s41592-024-02487-0.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Methods21(12), 2287–2298 (2024) https: //doi.org/10.1038/s41592-024-02487-0

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T12:55:23.954009Z

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Observation 43040cb3-76d3-4630-8f6e-c8abc4f1282b · outbound

This paper cites Bioinformatics Advances2(1), 016 (2022) https://doi.org/10.1093/ bioadv/vbac016 https://academic.oup.com/bioinformaticsadvances/article- pdf/2/1/vbac016/47081980/vbac016.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Bioinformatics Advances2(1), 016 (2022) https://doi.org/10.1093/ bioadv/vbac016 https://academic.oup.com/bioinformaticsadvances/article- pdf/2/1/vbac016/47081980/vbac016.pdf

Reference 35

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Observation 57e3fe58-ecd4-4373-9337-f9dd92c7ac1d · outbound

This paper cites Nature Biotechnology42(4), 628–637 (2024) https://doi.org/10.1038/s41587-023-01830-8.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Biotechnology42(4), 628–637 (2024) https://doi.org/10.1038/s41587-023-01830-8

Reference 36

Resolution: verified exact; doi, observed 2026-08-07T12:55:23.792142Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6f30ead-df75-4a14-8a3f-541ddfa950c5 · outbound

This paper cites Nucleic Acids Research51(20), 10934–10949 (2023) https://doi.org/10.1093/nar/gkad841 https://academic.oup.com/nar/article-pdf/51/20/10934/53175342/gkad841.pdf.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic Acids Research51(20), 10934–10949 (2023) https://doi.org/10.1093/nar/gkad841 https://academic.oup.com/nar/article-pdf/51/20/10934/53175342/gkad841.pdf

Reference 37

Resolution: verified exact; doi, observed 2026-08-07T12:55:23.670342Z

Source-reported events for the cited work

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Observation 5713f7aa-d365-4152-8be2-b71a39fd05e8 · outbound

This paper cites Genome Res29(8), 1363–1375 (2019).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Genome Res29(8), 1363–1375 (2019)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.205900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52ddb071-cb4a-4aad-8648-223adb8bdc9d · outbound

This paper cites Nature Communications14(1), 7266 (2023).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Communications14(1), 7266 (2023)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.113614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b310da10-f741-47f7-811a-7ee7fa814982 · outbound

This paper cites Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:21.476644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00476254-a1de-4bc5-9b13-778c8289eec0 · outbound

This paper cites Nucleic acids research50(3), 14–14 (2022).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic acids research50(3), 14–14 (2022)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.081638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cce4d0f-c378-4ca9-85ac-a46ef5b4c2b4 · outbound

This paper cites Nucleic acids research45(20), 11570–11581 (2017).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic acids research45(20), 11570–11581 (2017)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.044429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82edc573-1715-476b-9ba0-426d58e0667b · outbound

This paper cites RNA22(12), 1808–1818 (2016).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors RNA22(12), 1808–1818 (2016)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:28.005817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09933a70-83ec-4321-abcb-bfabfadc31cd · outbound

This paper cites Nature Machine Intelligence4(12), 1174–1184 (2022) 32.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Machine Intelligence4(12), 1174–1184 (2022) 32

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.962202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c208f62f-4072-4bc8-857e-4186840c2738 · outbound

This paper cites Kaggle (2020).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Kaggle (2020)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.901864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e950184b-6299-419c-86d6-98e8bf45228a · outbound

This paper cites coli based on deep learning.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors coli based on deep learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.802591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56f33f27-1657-479a-8458-3252448ab008 · outbound

This paper cites Scientific Reports12(1), 12126 (2022).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Scientific Reports12(1), 12126 (2022)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.712700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 254e22f2-87dd-4d9a-84ca-7b234b6db8b7 · outbound

This paper cites In: 2020 International Joint Conference on Neural Networks (IJCNN), pp.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors In: 2020 International Joint Conference on Neural Networks (IJCNN), pp

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:22.152439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65550fbc-4b52-418b-94e5-7e76ea7019d6 · outbound

This paper cites [cited 2025 Jan 16] (1988–).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors [cited 2025 Jan 16] (1988–)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.601900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5d6609e-9487-4ad1-bc5c-4c6504041b95 · outbound

This paper cites https://www.genscript.com/ tools/codon-frequency-table.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors https://www.genscript.com/ tools/codon-frequency-table

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.480787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99e1e74e-47d6-4d33-a101-cdf585f3328a · outbound

This paper cites Nucleic Acids Res44(D1), 184–9 (2015).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nucleic Acids Res44(D1), 184–9 (2015)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.336643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f9bb85e-a8b4-4b8d-b7ed-6f0a95bc0e86 · outbound

This paper cites Nature Methods 19(10), 1193–1207 (2022) https://doi.org/10.1038/s41592-022-01623-y.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Nature Methods 19(10), 1193–1207 (2022) https://doi.org/10.1038/s41592-022-01623-y

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T12:55:23.524848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44e528f9-c069-4eab-82a0-1c221dd6730d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:22.585417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73085ffa-73da-4541-bcb5-290697a93a0f · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:22.676155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c531fd-4017-4fb1-88e8-a3b0d32be477 · outbound

This paper cites [cited 2025 Jan 16] (1988–).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors [cited 2025 Jan 16] (1988–)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.164226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b19a3f80-3190-4fa8-82c0-67d574418847 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Adam: A Method for Stochastic Optimization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:22.862404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307252b7-66d2-465d-8e02-ac178ed6c0ef · outbound

This paper cites Decoupled Weight Decay Regularization.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Decoupled Weight Decay Regularization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:22.964153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c807d23-276f-4188-aa4a-cce3f5bbe740 · outbound

This paper cites Cell160(6), 1111–1124 (2015).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Cell160(6), 1111–1124 (2015)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.108434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7a99d59-83bc-49c5-aed0-1f510a8b006f · outbound

This paper cites Advances in Computers, vol.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Advances in Computers, vol

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.049995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation baa0013d-717d-4026-b7dd-2b182ffae76d · outbound

This paper cites In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P.S., Vaughan, J.W.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P.S., Vaughan, J.W

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:55:27.006750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9119f37e-67b8-4208-87f7-6db434ad58ba · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:23.216983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885411f4-5730-4679-bdc6-e0a14fe4041b · outbound

This paper cites Journal of Machine Learning Research21(140), 1–67 (2020).

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Journal of Machine Learning Research21(140), 1–67 (2020)

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:23.295235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c490b9db-bce3-4cdd-ba08-7b53bca8c856 · outbound

This paper cites Journal of Computational Biology10(3-4), 419–432 (2003) https://doi.org/10.

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors Journal of Computational Biology10(3-4), 419–432 (2003) https://doi.org/10

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:23.370489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b0fa8ea3-e62e-4038-bdb6-25fb0ec752ad · inbound

An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity Therapeutic mRNA Sequences cites this paper.

An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity Therapeutic mRNA Sequences A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:29.169530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b98ca26-3c69-43e6-a3e9-6177bb871695 · inbound

Smooth $\%$MinMax: A Differentiable Relaxation for Codon Harmonization cites this paper.

Smooth $\%$MinMax: A Differentiable Relaxation for Codon Harmonization A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:55.083701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.