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Paper Citation Record · LEDGER

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data

As of 19 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2506.10031.

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

pith.paper-citation-record.v1
2506.10031 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:08:17.152547Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:52:09.587293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:44.988223Z

Reference resolution

73 of 73 outbound references displayed

  • verified exact13
  • verified fuzzy28
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fde4adc-81fa-49fb-a5ac-fe85486ea792 · outbound

This paper cites write newline.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data write newline

Reference 1

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no resolver link, observed 2026-08-07T05:08:10.620099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:10.620099Z digest=sha256:9fb3beed72582df36cf71bcc7a2fcdcf0a5b0732b748a8303aa7a258ff15df9e

Observation c927be09-2f15-4708-b226-74275a4cb4db · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:25.109270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:10.674397Z digest=sha256:d00a134d77b800d6870f08f032303c9779112f6aa92bb3d35013071193f78122

Observation 23927cd5-c621-4844-b0ca-de2c8c380eb8 · outbound

This paper cites The technological landscape and applications of single-cell multi-omics.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data The technological landscape and applications of single-cell multi-omics

Reference 3

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no resolver link, observed 2026-08-07T05:08:10.722036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:10.722036Z digest=sha256:5548c28eaf5efaeb933967315937c5895361dd0eb6bf0d16bc250a9db6a37783

Observation b702e392-9137-44f1-9824-ec3d50340c77 · outbound

This paper cites A., Teichmann, S.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A., Teichmann, S

Reference 4

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verified exact
doi, observed 2026-08-07T05:08:19.263256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:10.767160Z digest=sha256:32c59a0dd61befa874bfde226a7dffecdc2e33246e97ca719242d82fce2b87a0

Observation 36ef5968-d42c-4d9c-850a-a543b6841c6d · outbound

This paper cites An empirical study on disentanglement of negative-free contrastive learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data An empirical study on disentanglement of negative-free contrastive learning

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:24.950193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:10.810761Z digest=sha256:e879e2366a9c825800e1ec24e5872adec27ac73d5f8b6db905c832e1c4d8d154

Observation 51713070-6232-42b9-98ca-123003d4219c · outbound

This paper cites scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

Reference 6

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no resolver link, observed 2026-08-07T05:08:10.874312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:10.874312Z digest=sha256:b66c70a3feba63df714e856d7608f86a475a225d6f3a33d62f08add6239adbd0

Observation ce470c7b-20e1-459e-9803-351bc7bbab49 · outbound

This paper cites Domain-specific batch normalization for unsupervised domain adaptation.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Domain-specific batch normalization for unsupervised domain adaptation

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:24.657216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:10.914223Z digest=sha256:9d16ba8db49828908b3e0bc45957dbe523da0590ca8b47163f67dd2e6bfaa87f

Observation 9738f2fa-e503-4ffb-b444-8cf73f5d9ffc · outbound

This paper cites A simple framework for contrastive learning of visual representations.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A simple framework for contrastive learning of visual representations

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:24.486180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:10.966052Z digest=sha256:fd0f448f70ea04e18cb033590f67458971e79d6e5251ef5db6cb932f76039a18

Observation 1da6db61-fa1e-4c4e-b232-e920051ef384 · outbound

This paper cites Exploring Simple Siamese Representation Learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Exploring Simple Siamese Representation Learning

Reference 9

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no resolver link, observed 2026-08-07T05:08:11.016529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.016529Z digest=sha256:311d5e8babea8e03e0cc9276fa8939fcd224dbca699379c407ad1829bac7116e

Observation cea10580-758e-4393-83e5-4f50f762e531 · outbound

This paper cites A joint analysis of single cell transcriptomics and proteomics using transformer.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A joint analysis of single cell transcriptomics and proteomics using transformer

Reference 10

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verified exact
doi, observed 2026-08-07T05:08:19.107774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.074979Z digest=sha256:b29537ee1464bd11da69c6eaf3af7129eced8760e3c613ad4ffe709cec74caef

Observation 77168162-688c-49a0-ae8e-15f186d4e1f1 · outbound

This paper cites D., Xu, C., Jarvis, L.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data D., Xu, C., Jarvis, L

Reference 11

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no resolver link, observed 2026-08-07T05:08:11.124226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.124226Z digest=sha256:f9def0d9f2093354da13b1911f8c8567b6fa6bd98ac9d69e0326c4f73b3bebd6

Observation c1857466-bdb0-4aad-9830-b99965c62db2 · outbound

This paper cites scGPT: toward building a foundation model for single-cell multi-omics using generative AI.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data scGPT: toward building a foundation model for single-cell multi-omics using generative AI

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:24.170776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.177559Z digest=sha256:b44782ad3739c19d966a0aae0b047854c16b748868be04638e1f86a8f76a0e74

Observation 67dac639-c758-409f-bf93-088efb0a901c · outbound

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

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

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unresolved
no resolver link, observed 2026-08-07T05:08:11.241324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.241324Z digest=sha256:c4926349492ff79042b24f3660d2f011151f0d255508b2f6e26ab09c34489886

Observation 6b4c716f-af60-4fde-b312-70c9027e6c80 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:23.924481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.289088Z digest=sha256:ef81956c56d4d557ad69fac46669dc6ad7f60653c64819ab9a778092610af0ad

Observation 4efd37f4-2425-4a47-b48e-362ceb90d710 · outbound

This paper cites K., Kowalczyk, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data K., Kowalczyk, M

Reference 15

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verified exact
doi, observed 2026-08-07T05:08:18.949856Z

Source-reported events for the cited work

correction dated 2020-04-27. Source: crossref record 10.1038/s41587-020-0534-z->10.1038/s41587-020-0465-8:correction, observed 2026-07-11T03:02:06.836427+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-07T05:08:11.356047Z digest=sha256:7d3dbcb92bbabe7020e3c00aaae1fdb7553d0a75579cfef8b851cfc1f3e2e107

Observation af8f9b51-3e39-4e76-93b4-1e83929c4d88 · outbound

This paper cites With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Reference 16

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no resolver link, observed 2026-08-07T05:08:11.405493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.405493Z digest=sha256:b6d922c49e46645f7e323c30c0c4be47b4c614d25f706c20edea3d27dde106f9

Observation 45ae8d69-e4f1-4bbb-a1bd-ba1dfec5adc0 · outbound

This paper cites M., Waldman, J., et al.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data M., Waldman, J., et al

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:23.684738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.461671Z digest=sha256:3e89694745f58d58387758e6c9d72fafbc10ee6f0d452a1e9ac839cd3da3dfa5

Observation 2698a9d8-34ea-4dd4-851a-e1979a98ec90 · outbound

This paper cites L., Streets, A., and Yosef, N.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data L., Streets, A., and Yosef, N

Reference 18

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unresolved
no resolver link, observed 2026-08-07T05:08:11.526720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.526720Z digest=sha256:56cee464c0ab11b96d69b52f1ef98bb0a06524faf2c8235e49755746e5f316bd

Observation df48cb61-2581-44ef-bd1e-20eccf7498fb · outbound

This paper cites A Cookbook of Self-Supervised Learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A Cookbook of Self-Supervised Learning

Reference 19

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no resolver link, observed 2026-08-07T05:08:11.595096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.595096Z digest=sha256:49d66135740235795b30e0dceab868e607e42e45e44c2059d4f15c3e3f9b9d0d

Observation 11454aad-518f-41b1-95ad-df78aa0c98b1 · outbound

This paper cites C., Modi, H., Kampman, L., and Corces, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data C., Modi, H., Kampman, L., and Corces, M

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T05:08:18.795251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.642379Z digest=sha256:26218f9f4981eace37054eebdb2b443e9e3c9bc711332fd94deb35a615c28e16

Observation a5a349ac-0bbf-4523-950f-f8052932d691 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Bootstrap your own latent-a new approach to self-supervised learning

Reference 21

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raw_fallback, observed 2026-08-07T05:08:23.482487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.709128Z digest=sha256:3116680b5c861ec12b8fc65d2e333b5fc72e21001eb75f1acdc563eade6efa7c

Observation e1b3b9ad-bcdd-4705-a56d-9d9713007051 · outbound

This paper cites Self-supervised contrastive learning for integrative single cell RNA-seq data analysis.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Reference 22

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verified exact
doi, observed 2026-08-07T05:08:18.601257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:11.768159Z digest=sha256:af2dd0f9055179823ad75f134d3d8b96e36976b1640242a24c4e8419ac8eb64f

Observation 18c09c55-1aae-4c3d-b7b9-c12c86cdc32d · outbound

This paper cites M., Zheng, S., Butler, A., Lee, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data M., Zheng, S., Butler, A., Lee, M

Reference 23

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no resolver link, observed 2026-08-07T05:08:11.857643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.857643Z digest=sha256:31639c6def36b484599b6d6e31000796fb1cc175e1a47e2c20a28e7ce2e35365

Observation 0631053f-e8b9-465b-9543-f007c1903391 · outbound

This paper cites H., Choudhary, S., Hoffman, P., et al.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data H., Choudhary, S., Hoffman, P., et al

Reference 24

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no resolver link, observed 2026-08-07T05:08:11.920402Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:11.920402Z digest=sha256:5bf119b16ee31087a9376116d6af37256a2fd536f08100c280f58b78a6df830c

Observation faade1ff-4d55-4994-9b56-5763131b714d · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Momentum contrast for unsupervised visual representation learning

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:23.274452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.008347Z digest=sha256:85c24deb94ef4ecc692b4791aba8e55d8a8d16dfd5fed52f1b87d1677d7a58a2

Observation ee0f782d-8128-4933-9a37-53774d6db359 · outbound

This paper cites D., Zhang, Y.-z., and Imoto, S.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data D., Zhang, Y.-z., and Imoto, S

Reference 26

Resolution
verified exact
doi, observed 2026-08-07T05:08:18.428456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.123079Z digest=sha256:5d872e2fedce47212275e478ba1efae6cdfcdb39d1030311d0699bbeae9daf3b

Observation f2fa9dbe-bfc5-4739-88c7-15ba814d1a23 · outbound

This paper cites C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., L \"u cken, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., L \"u cken, M

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:23.074403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.180221Z digest=sha256:9f76dbd80d6dd1ec0f067c04c706a5a15016b0d82c2a7cf23b5868576a0f4254

Observation d3353008-f539-47d8-90e4-818763b68c93 · outbound

This paper cites Teacher-Student Architecture for Knowledge Distillation: A Survey.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Teacher-Student Architecture for Knowledge Distillation: A Survey

Reference 28

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unresolved
no resolver link, observed 2026-08-07T05:08:12.269940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:12.269940Z digest=sha256:4207d76d71ff47eac7ddc89d6b92c0386537ca2b14fc274d3fa8e48b313baf32

Observation f1ec3568-e091-47e4-b25d-4903f1e60abc · outbound

This paper cites Understanding Dimensional Collapse in Contrastive Self-supervised Learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Understanding Dimensional Collapse in Contrastive Self-supervised Learning

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:22.897999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.338527Z digest=sha256:4314665b44a42989f38c8c984abb749f1e0ebc2709745955f3cabc8a72987650

Observation f1eb9d2b-9ead-4695-a082-7fdc6efc9667 · outbound

This paper cites C., Karkanias, J., Krasnow, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data C., Karkanias, J., Krasnow, M

Reference 30

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no resolver link, observed 2026-08-07T05:08:12.414070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:12.414070Z digest=sha256:08894da638b4da42970620e967cb6b0116a35dd769541420cc6c3525caa826c9

Observation 0573d55c-33a3-4789-a3f3-d1687bb9bbfa · outbound

This paper cites Adam: A Method for Stochastic Optimization.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Adam: A Method for Stochastic Optimization

Reference 31

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no resolver link, observed 2026-08-07T05:08:12.449460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:12.449460Z digest=sha256:1cee9d6bebaf716319a77a4f48c919babd762fa29e8f41977ecda85488849290

Observation 3c535319-f1fb-4d67-82fb-8c394af4f8eb · outbound

This paper cites a hnemann, D., K \.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data a hnemann, D., K \

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:22.710050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.521442Z digest=sha256:9c19dd0021287fa65c0ef3d07d2e6e169dd518e18c351fbba07806a481437fff

Observation 4d73219d-d9c1-44dc-84b6-38df7ac6f084 · outbound

This paper cites D., Burkhardt, D.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data D., Burkhardt, D

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:22.544858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.666709Z digest=sha256:2bcc5d40dd1adc0bb2e45c98927fad02efaa189a1088bb0062276511a4925c71

Observation aedddca0-704f-42cb-93d3-8f9d89bd3b8a · outbound

This paper cites scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration

Reference 34

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verified exact
doi, observed 2026-08-07T05:08:18.247776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.756281Z digest=sha256:3010d92a32fe4adc9d97a52b7e1f977d90bfb2b4ea66f5ae7bad3d4c8fa2bed8

Observation 1022da6d-6101-4872-bbab-d8fc70166c97 · outbound

This paper cites Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement

Reference 35

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source=arxiv_source observed=2026-08-07T05:08:12.864045Z digest=sha256:ad31ee45fcec957dfdc5077f0c8be6ba6ce2f5b212bdeedc28522b836d263bb8

Observation 7eca97a2-bd46-4676-9236-f2ce1bf84c67 · outbound

This paper cites CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification

Reference 36

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raw_fallback, observed 2026-08-07T05:08:22.341269Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:12.939877Z digest=sha256:1ea764998bc7fe3804f3c9631ac5d58bfad2f1471cbc68233f35ea5139a5b89d

Observation 447e638c-63f5-459d-a3b6-39ecae06a4a5 · outbound

This paper cites B., Jordan, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data B., Jordan, M

Reference 37

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source=arxiv_source observed=2026-08-07T05:08:13.040980Z digest=sha256:6c2cc410b0d81a869fc3ec0e9147ee5f872df93411b99671870740584bbf7b1d

Observation 0b7d69da-361e-4b83-a497-c1ff5dc445a2 · outbound

This paper cites D., Khajavi, M., B \"u ttner, M., Wagenstetter, M., Avsec, Z ., Gayoso, A., Yosef, N., Interlandi, M., Rybakov, S., Misharin, A.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data D., Khajavi, M., B \"u ttner, M., Wagenstetter, M., Avsec, Z ., Gayoso, A., Yosef, N., Interlandi, M., Rybakov, S., Misharin, A

Reference 38

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source=arxiv_source observed=2026-08-07T05:08:13.117962Z digest=sha256:9efbbecbf1b8ae61d2302e844080cb1e5ea9f3bc8c3c18643f51aef9106b3d10

Observation ac6c96d8-7598-4f39-975f-443ab1fd00dc · outbound

This paper cites A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A sandbox for prediction and integration of DNA, RNA, and proteins in single cells

Reference 39

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raw_fallback, observed 2026-08-07T05:08:22.191555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:13.212986Z digest=sha256:b0cb893bf9176f68ab30abfd8d8f3919401c54bbc68d0423b393dd7b8c33008e

Observation 7c65c09e-dd31-4ec7-9bc5-22461ca8300e · outbound

This paper cites u ttner, M., Chaichoompu, K., Danese, A., Interlandi, M., M \.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data u ttner, M., Chaichoompu, K., Danese, A., Interlandi, M., M \

Reference 40

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raw_fallback, observed 2026-08-07T05:08:22.091654Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:13.334252Z digest=sha256:004571a830def566e80acf74a2a56b098c7f223fe3ac55dfb120c25510629d9c

Observation 1e2c71d5-b367-49d6-8515-1ce3f441331d · outbound

This paper cites A closer look at benchmarking self-supervised pre-training with image classification.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A closer look at benchmarking self-supervised pre-training with image classification

Reference 41

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doi, observed 2026-08-07T05:08:18.066265Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:13.416491Z digest=sha256:37cdaed54562d78c28be5c7bd949df81d144007544579a7006cdd23e386768c5

Observation aeb33c00-2c13-44a5-b349-22d6b1f971d5 · outbound

This paper cites an unresolved cited work.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-07T05:08:13.518448Z digest=sha256:bbd9d3803120e87733567e147ba178315e3c9b95e7a68d092af08b53c97c66f9

Observation 7c3e62d4-694d-4a97-ae9b-e0f73efee7bf · outbound

This paper cites an unresolved cited work.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Unresolved cited work

Reference 43

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raw_fallback, observed 2026-08-07T05:08:21.900516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:13.623519Z digest=sha256:b97b78bbd88403a6739770d4e55fb0f615ad2c6ddab1e12ed98a1cd6a1275a97

Observation 51d87ca4-042d-46cf-a92b-c082b5661dec · outbound

This paper cites D., Miao, Z., Meyer, K.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data D., Miao, Z., Meyer, K

Reference 44

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no resolver link, observed 2026-08-07T05:08:13.723341Z

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source=arxiv_source observed=2026-08-07T05:08:13.723341Z digest=sha256:62bf1e365bf590a2e94ab35d997b9c8878973c0b56435986d6459df8efce0188

Observation 270969ad-d616-42cd-83f4-6a3c82a029bb · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 45

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raw_fallback, observed 2026-08-07T05:08:21.697342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:13.826613Z digest=sha256:2393df82ce6e60e4b0d4c4083f5abf6583718453b371e926ee210cbf33d9aaa1

Observation cd7cb741-f2e4-431e-b2be-85af9952c58b · outbound

This paper cites S., and Theis, F.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data S., and Theis, F

Reference 46

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source=arxiv_source observed=2026-08-07T05:08:13.951299Z digest=sha256:e9412a9e1582dde8766ef708e88ca047d9c3f51913f153df0bd3d26956292f34

Observation eae28998-7085-4b9c-9b5c-927dfb40470a · outbound

This paper cites S., and Theis, F.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data S., and Theis, F

Reference 47

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verified exact
doi, observed 2026-08-07T05:08:17.925798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:14.031556Z digest=sha256:8a13414d7f6b662fdeed0d838d72705cc46e70ae2514ead2109acc7658f4338b

Observation e01dfd02-0a14-45fc-83fe-ac49ed7a94ba · outbound

This paper cites C., Rawat, Y.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data C., Rawat, Y

Reference 48

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no resolver link, observed 2026-08-07T05:08:14.127644Z

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source=arxiv_source observed=2026-08-07T05:08:14.127644Z digest=sha256:078fcefb09548e03f1ce285831f890e98c9f1613b67b9d6955c0239d1927b5ba

Observation ac95079d-a399-4c07-827c-f826ef2a2444 · outbound

This paper cites C., Gillett, T.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data C., Gillett, T

Reference 49

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no resolver link, observed 2026-08-07T05:08:14.241385Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:08:14.241385Z digest=sha256:a1bf32d2d1a04e1dcf188c750281217d26c9bf4c25dc95420eb011030c5fe927

Observation 7fbccca1-477a-43d6-8ff5-2bf6142f43d3 · outbound

This paper cites B., Ashenberg, O., Waldman, J., Drokhlyansky, E., Wakiro, I., Smillie, C., Smith-Rosario, G., Wu, J., Dionne, D., et al.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data B., Ashenberg, O., Waldman, J., Drokhlyansky, E., Wakiro, I., Smillie, C., Smith-Rosario, G., Wu, J., Dionne, D., et al

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:21.475342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:14.331085Z digest=sha256:3e0ff7050b52cde7c974ca28679c2b9e06acedba8c1b490f72458f3c37d475d5

Observation 847ca49d-e326-4664-937e-534e66422076 · outbound

This paper cites Improved deep metric learning with multi-class N-pair loss objective.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Improved deep metric learning with multi-class N-pair loss objective

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:21.236655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:14.454345Z digest=sha256:caf6e6d89fb86aa738050caa03e006bac3129eb5cba7dedc97420406560f8438

Observation 07e25a21-03a6-42a0-b8f5-d7979f0172e1 · outbound

This paper cites K., Swerdlow, H., Satija, R., and Smibert, P.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data K., Swerdlow, H., Satija, R., and Smibert, P

Reference 52

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no resolver link, observed 2026-08-07T05:08:14.538006Z

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source=arxiv_source observed=2026-08-07T05:08:14.538006Z digest=sha256:c4ff0b2210d1c2bde9f38c1a2d94b8550df6194b93c21e07b999392f178ce32e

Observation 3ed2a286-21c2-4104-bfa6-3cec3d5b2d9f · outbound

This paper cites Lightly , 2023.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Lightly , 2023

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:21.058306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:14.636544Z digest=sha256:0a5c9ae7527fe2965488be5336da59089cda660e9a920afd6e87f18d34d827f8

Observation 6ca71e6f-915b-4652-8ab8-5a4e253d3df1 · outbound

This paper cites T., Savage, A.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data T., Savage, A

Reference 54

Resolution
verified exact
doi, observed 2026-08-07T05:08:17.785227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:14.770096Z digest=sha256:c1d2a686fe8e915806ceedb001108fa6d800d7d0c4fef2b1cf0f9b8538a79c8b

Observation 04eee51c-a044-46c1-b9c1-8f661368e738 · outbound

This paper cites B., Siddiqui, A., Lao, K., and Surani, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data B., Siddiqui, A., Lao, K., and Surani, M

Reference 55

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no resolver link, observed 2026-08-07T05:08:14.893515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:14.893515Z digest=sha256:bceee6ce5d0dfe3dfa2a7d632f623168e88210f3f0dde150ea8409bb09f2a68e

Observation 0a64b894-bf32-4133-950e-e2bdf1c6dc83 · outbound

This paper cites an unresolved cited work.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Unresolved cited work

Reference 56

Resolution
verified exact
doi, observed 2026-08-07T05:08:17.636554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:15.132327Z digest=sha256:3e7e4e76f80f673deba65da0a536c1137aadff14cf36ad10c79116c72f0f99a5

Observation 7096b495-af9a-4051-b3a0-c3481087bdcb · outbound

This paper cites V., Xiao, L., Chopra, A., Chaffin, M.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data V., Xiao, L., Chopra, A., Chaffin, M

Reference 57

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raw_fallback, observed 2026-08-07T05:08:20.820477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:15.218834Z digest=sha256:13159e7b6c3dd2d640db1dd7e945c1abdb0b2d42eb5dfe2170b5f7ec28b9e29d

Observation fcf9c993-6e53-45c3-a849-636b5b407444 · outbound

This paper cites E., Barkmann, F., and Boeva, V.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data E., Barkmann, F., and Boeva, V

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:20.619037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:15.340026Z digest=sha256:c07de565c77c04b26c46254d27440e4d785b23f260dcd8bcb290d2b76ff6dd43

Observation 7693d882-6637-445b-b591-ff83a03cbdec · outbound

This paper cites an unresolved cited work.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Unresolved cited work

Reference 59

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no resolver link, observed 2026-08-07T05:08:15.440081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:15.440081Z digest=sha256:35142ed0c8e1636cabad00d2e2741c9eaac69130c7dbdb7a61e9f5cc3d0ced05

Observation e6591fbe-d3f4-4b20-bbe8-7bd6d0e0e1bd · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Representation Learning with Contrastive Predictive Coding

Reference 60

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no resolver link, observed 2026-08-07T05:08:15.525775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:15.525775Z digest=sha256:600651eb4a42158d5d209917ca6c4de11dc8deec8051e314fd8ef0689da6cfc4

Observation 41039c64-44dd-43a2-9083-1f088e5e51a8 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data N., Kaiser, ., and Polosukhin, I

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:20.459552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:15.660232Z digest=sha256:82201d8cc0975214a3069061623fed9e5e0ce7432edbb72b71e846a90dbaab87

Observation 6f40e686-82ff-48de-8869-271058492e53 · outbound

This paper cites Symmetric cross entropy for robust learning with noisy labels.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Symmetric cross entropy for robust learning with noisy labels

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-07T05:08:20.293568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:15.800227Z digest=sha256:c76eec3fb242146be33ea1ac3e403c29ed389b3bfbe5cffdbf94c058eaec4932

Observation fc610879-5bdd-4cbc-8f10-37a319f0fd64 · outbound

This paper cites A., Angerer, P., and Theis, F.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data A., Angerer, P., and Theis, F

Reference 63

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no resolver link, observed 2026-08-07T05:08:15.906218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:15.906218Z digest=sha256:b24b308de168eb5e120824d36495cb1bcd8f4de1ac8d3bbecfb95391687fa422

Observation 0d8f9799-ae7c-4fbf-94b5-ef875f70fe41 · outbound

This paper cites scCLIP: Multi-modal Single-cell Contrastive Learning Integration Pre-training.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data scCLIP: Multi-modal Single-cell Contrastive Learning Integration Pre-training

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:20.069590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:16.023250Z digest=sha256:afab3aa579b22d5316500a1ab56d8d4f2daedf00e6baf074b0aaffabc714de02

Observation 4e2eb39a-4c17-4958-8b63-5fc3be213fed · outbound

This paper cites I., and Yosef, N.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data I., and Yosef, N

Reference 65

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unresolved
no resolver link, observed 2026-08-07T05:08:16.166581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:16.166581Z digest=sha256:bbd954986a35bd040e84064c9cc8ac6f54932be0738301a1705c4942f99290f3

Observation bad5537f-3848-4e13-a3c7-a79c209db724 · outbound

This paper cites Investigating the Benefits of Projection Head for Representation Learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Investigating the Benefits of Projection Head for Representation Learning

Reference 66

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no resolver link, observed 2026-08-07T05:08:16.294215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:16.294215Z digest=sha256:4a7157b534a389d1bfb63dc3dfd80890164924a8f13befc22a43c6cfea7956fa

Observation b3af15e3-bb63-4d4e-abce-3a6dd0e9a729 · outbound

This paper cites CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity

Reference 67

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verified exact
doi, observed 2026-08-07T05:08:17.508477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:16.461138Z digest=sha256:abd8093db4c59d001aa7278a026515491c7c1a04121777e3e6570cb65c0dd977

Observation 1437067a-05b1-46fc-bb39-0c5444372886 · outbound

This paper cites scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:19.877389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:16.577670Z digest=sha256:e4847bb2fa72f07d476aa31c83779e9e749d169b0aee91a277b3b1774f34028a

Observation 868c65ff-cbac-4a58-be41-5d69a0e01dcc · outbound

This paper cites Contrastive learning enables rapid mapping to multimodal single-cell atlas of multimillion scale.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Contrastive learning enables rapid mapping to multimodal single-cell atlas of multimillion scale

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:19.680384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:16.676067Z digest=sha256:79136a61845a060cb8ecf76ab96070e4452aea9d39018df886c9336742c5dcbe

Observation 52940115-d786-4a39-be77-ff29a552519d · outbound

This paper cites Batch alignment of single-cell transcriptomics data using deep metric learning.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Batch alignment of single-cell transcriptomics data using deep metric learning

Reference 70

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verified exact
doi, observed 2026-08-07T05:08:17.350511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:16.796675Z digest=sha256:1c7fc2ba33391246c8ac24f7ecbb57e6b4ad1aab56d0f45cbd9af9a66e994daf

Observation 5649ec17-945e-4760-b084-b1c11de37acb · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Barlow twins: Self-supervised learning via redundancy reduction

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T05:08:16.884955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:16.884955Z digest=sha256:540d88b0224e56f71c27b02c5d6d4d78252e9685bca765cd61432709227adfc2

Observation 16db601e-1bff-4c82-a2b4-175d092faccb · outbound

This paper cites and Ma, K.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data and Ma, K

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:08:19.518975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T05:08:17.015698Z digest=sha256:8196be1c0e1b08341a43d790fa032ec64120e190772fee6013d5a739c39ba03d

Observation 9ea80fe6-f311-4832-91ca-82f997a038d5 · outbound

This paper cites L., Mason, K., Martinez, C.

scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data L., Mason, K., Martinez, C

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T05:08:17.152547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:08:17.152547Z digest=sha256:ee8ca046e2d0ea0a41d6cc0d53500509c63bdaf636997e94fe7f30c0c88e86fe

Pith citing papers

Observation a4728412-5f34-42b1-941b-ba5160d3d74f · inbound

BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning cites this paper.

BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:44.989725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T06:52:09.587293Z digest=sha256:967541f409a6edb88ee9f253975d01a0bd259acf40973c0a78687cb3a1e79213