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Paper Citation Record · LEDGER

Scaling and Data Saturation in Protein Language Models

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.22210.

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

pith.paper-citation-record.v1
2507.22210 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:00:28.018701Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy18
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fadca55e-831d-4fa0-85ad-c3b1dee0822e · outbound

This paper cites write newline.

Scaling and Data Saturation in Protein Language Models write newline

Reference 1

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Observation 0ed55997-f91f-4681-aee4-9f6f268ab8d2 · outbound

This paper cites C., Hoffnagle, A.

Scaling and Data Saturation in Protein Language Models C., Hoffnagle, A

Reference 2

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Observation 609f0389-c9f3-4038-9842-ab1f27d4bb6b · outbound

This paper cites Training compute-optimal protein language models.

Scaling and Data Saturation in Protein Language Models Training compute-optimal protein language models

Reference 3

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Scaling and Data Saturation in Protein Language Models Unresolved cited work

Reference 4

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Scaling and Data Saturation in Protein Language Models Unresolved cited work

Reference 5

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This paper cites P., Roux, S., Beracochea, M., Mirdita, M., Ovchinnikov, S., and Hwang, Y.

Scaling and Data Saturation in Protein Language Models P., Roux, S., Beracochea, M., Mirdita, M., Ovchinnikov, S., and Hwang, Y

Reference 6

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This paper cites and Steinhardt, J.

Scaling and Data Saturation in Protein Language Models and Steinhardt, J

Reference 7

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Observation 42e8c70c-3501-4f30-84aa-cd39e52363f7 · outbound

This paper cites Prottrans: Toward understanding the language of life through self-supervised learning.

Scaling and Data Saturation in Protein Language Models Prottrans: Toward understanding the language of life through self-supervised learning

Reference 8

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Observation 7ebbdc94-3b94-4bcb-9cfa-253f65974511 · outbound

This paper cites M., van der Sloot, A., Schulz, B., Chandar, S., and Langmead, C.

Scaling and Data Saturation in Protein Language Models M., van der Sloot, A., Schulz, B., Chandar, S., and Langmead, C

Reference 9

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This paper cites X., and Abbeel, P.

Scaling and Data Saturation in Protein Language Models X., and Abbeel, P

Reference 10

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Observation e4fd5323-3e7c-43fe-8ba5-123a0213820f · outbound

This paper cites M., Kerrn, M., Olsen, L., Salomon, J., and Boomsma, W.

Scaling and Data Saturation in Protein Language Models M., Kerrn, M., Olsen, L., Salomon, J., and Boomsma, W

Reference 11

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Observation 5b2dc213-1b77-4b84-bdf9-3b85b955d8d5 · outbound

This paper cites Scaling Laws for Transfer.

Scaling and Data Saturation in Protein Language Models Scaling Laws for Transfer

Reference 12

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Observation 116d1e8b-5670-4d3e-96b5-cef674791020 · outbound

This paper cites RITA: a Study on Scaling Up Generative Protein Sequence Models.

Scaling and Data Saturation in Protein Language Models RITA: a Study on Scaling Up Generative Protein Sequence Models

Reference 13

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Scaling and Data Saturation in Protein Language Models Unresolved cited work

Reference 14

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Observation ad0e39d3-a56a-4d1d-847f-03d003dca853 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling and Data Saturation in Protein Language Models Training Compute-Optimal Large Language Models

Reference 15

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Observation 5eb47e65-91a4-45ba-a6df-ec753b74c673 · outbound

This paper cites Learning protein fitness models from evolutionary and assay-labeled data.

Scaling and Data Saturation in Protein Language Models Learning protein fitness models from evolutionary and assay-labeled data

Reference 16

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Scaling and Data Saturation in Protein Language Models Unresolved cited work

Reference 17

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Observation 3eaa2fff-f317-4033-a213-0461b8a2b2da · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Scaling and Data Saturation in Protein Language Models Highly accurate protein structure prediction with alphafold

Reference 18

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This paper cites Scaling Laws for Neural Language Models.

Scaling and Data Saturation in Protein Language Models Scaling Laws for Neural Language Models

Reference 19

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This paper cites P., Yue, Y., Yang, K.

Scaling and Data Saturation in Protein Language Models P., Yue, Y., Yang, K

Reference 20

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This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.

Scaling and Data Saturation in Protein Language Models Evolutionary-scale prediction of atomic-level protein structure with a language model

Reference 21

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Scaling and Data Saturation in Protein Language Models Unresolved cited work

Reference 22

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Scaling and Data Saturation in Protein Language Models Y., and Cho, K

Reference 23

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This paper cites R., Subramanian, S., Mohr, B.

Scaling and Data Saturation in Protein Language Models R., Subramanian, S., Mohr, B

Reference 24

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This paper cites G., Kang, B., Katrekar, D., Li, D.

Scaling and Data Saturation in Protein Language Models G., Kang, B., Katrekar, D., Li, D

Reference 25

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Scaling and Data Saturation in Protein Language Models A., Weinstein, E

Reference 26

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This paper cites N., Marks, D., and Gal, Y.

Scaling and Data Saturation in Protein Language Models N., Marks, D., and Gal, Y

Reference 27

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This paper cites Proteingym: Large-scale benchmarks for protein fitness prediction and design.

Scaling and Data Saturation in Protein Language Models Proteingym: Large-scale benchmarks for protein fitness prediction and design

Reference 28

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This paper cites Proteinnpt: Improving protein property prediction and design with non-parametric transformers.

Scaling and Data Saturation in Protein Language Models Proteinnpt: Improving protein property prediction and design with non-parametric transformers

Reference 29

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Scaling and Data Saturation in Protein Language Models L., Feuermann, M., Gasteiger, E., Gehant, S., Gerritsen, V., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Jungo, F., Keller, G., Lieberherr, D., Lombardot, T., Martin, M

Reference 30

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This paper cites Evaluating protein transfer learning with tape.

Scaling and Data Saturation in Protein Language Models Evaluating protein transfer learning with tape

Reference 31

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This paper cites P., Abbasian, M., and Orengo, C.

Scaling and Data Saturation in Protein Language Models P., Abbasian, M., and Orengo, C

Reference 32

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Observation ce5e60d8-7fb6-4ba1-8360-2bc28892d31d · outbound

This paper cites Mgnify: the microbiome sequence data analysis resource in 2023.

Scaling and Data Saturation in Protein Language Models Mgnify: the microbiome sequence data analysis resource in 2023

Reference 33

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verified exact
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Scaling and Data Saturation in Protein Language Models L., Ma, J., et al

Reference 34

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Observation d121066a-7e8b-4fb7-a482-7b711bed6ec8 · outbound

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Scaling and Data Saturation in Protein Language Models F., Stone, J., Bianchi, A

Reference 35

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Observation e3b318cf-e762-4819-a05c-15751329d2a2 · outbound

This paper cites Are Protein Language Models Compute Optimal?.

Scaling and Data Saturation in Protein Language Models Are Protein Language Models Compute Optimal?

Reference 36

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Observation 17fb50ef-402b-4cde-80d7-8a49c5d31287 · outbound

This paper cites Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning.

Scaling and Data Saturation in Protein Language Models Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning

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doi, observed 2026-08-06T12:00:28.054638Z

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source=arxiv_source observed=2026-08-06T12:00:28.018701Z digest=sha256:422e65c665962db00f502c0911ddde2aa1cf96d8b5b32d43e0d92863c6d4be7d

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