Paper Citation Record · LEDGER

Multi-modal single-cell foundation models via dynamic token adaptation

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2504.13049.

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

pith.paper-citation-record.v1
2504.13049 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:57.112006Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

24 of 24 outbound references displayed

verified exact8
verified fuzzy1
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c8c9ffd-406f-4605-a9df-d13360fc6d81 · outbound

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

Multi-modal single-cell foundation models via dynamic token adaptation Ledsam, Agnieszka Grabska-Barwinska, Kyle R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.006706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294d53c5-23d0-48fd-8247-8c864e2c9cad · outbound

This paper cites Base-resolution models of transcription-factor binding reveal soft motif syntax.

Multi-modal single-cell foundation models via dynamic token adaptation Base-resolution models of transcription-factor binding reveal soft motif syntax

Reference 2

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.300997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5824ec6d-c163-485b-85a7-6c84408a0665 · outbound

This paper cites Unifying Vision-and-Language Tasks via Text Generation.

Multi-modal single-cell foundation models via dynamic token adaptation Unifying Vision-and-Language Tasks via Text Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.017796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c516cee8-d959-4802-af87-f91b088f48c4 · outbound

This paper cites scGPT : Towards Building a Foundation Model for Single - Cell Multi -omics Using Generative AI.

Multi-modal single-cell foundation models via dynamic token adaptation scGPT : Towards Building a Foundation Model for Single - Cell Multi -omics Using Generative AI

Reference 4

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.284933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9daed6a5-3d48-43e7-9849-3ee62132092b · outbound

This paper cites Bell, Emanuele Bezzi, Batuhan Cakir, Jim Chaffer, Signe Chambers, J.

Multi-modal single-cell foundation models via dynamic token adaptation Bell, Emanuele Bezzi, Batuhan Cakir, Jim Chaffer, Signe Chambers, J

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.028484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fbc7f75-ac8c-4a6e-bbbd-5d73a7e33492 · outbound

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

Multi-modal single-cell foundation models via dynamic token adaptation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.032771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c28629a-1e19-4595-a06d-783e70317630 · outbound

This paper cites an unresolved cited work.

Multi-modal single-cell foundation models via dynamic token adaptation Unresolved cited work

Reference 7

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.269318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e21b7129-c6a1-4d54-b791-c2930d37df6f · outbound

This paper cites Shuai, Parth Baokar, Ryan Chung, Ruchir Rastogi, Pooja Kathail, and Nilah M.

Multi-modal single-cell foundation models via dynamic token adaptation Shuai, Parth Baokar, Ryan Chung, Ruchir Rastogi, Pooja Kathail, and Nilah M

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.042108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f792dd4-7511-4e3f-830f-f3f071b7530c · outbound

This paper cites an unresolved cited work.

Multi-modal single-cell foundation models via dynamic token adaptation Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.245316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b66da01-b82d-42a8-9daf-ec83a99bcaa4 · outbound

This paper cites Kelley, Yakir A.

Multi-modal single-cell foundation models via dynamic token adaptation Kelley, Yakir A

Reference 10

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.230253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25fe2909-b645-45e9-ab6f-8d9c7186d044 · outbound

This paper cites Knight-Schrijver, Hongorzul Davaapil, Semih Bayraktar, Alexander D.

Multi-modal single-cell foundation models via dynamic token adaptation Knight-Schrijver, Hongorzul Davaapil, Semih Bayraktar, Alexander D

Reference 11

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.216124Z

Source-reported events for the cited work

correction dated 2023-04-11. Source: crossref record 10.1038/s44161-023-00269-z->10.1038/s44161-022-00183-w:correction, observed 2026-07-11T03:04:26.902115+00:00. This notice travels one citation hop only.

Observation 49e49926-5bcd-4b9d-99f0-126254ad64c0 · outbound

This paper cites Dhodapkar, and David Van Dijk.

Multi-modal single-cell foundation models via dynamic token adaptation Dhodapkar, and David Van Dijk

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.059409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa3a7a6-4781-48d1-8d27-435c02b011fc · outbound

This paper cites Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction.

Multi-modal single-cell foundation models via dynamic token adaptation Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T12:19:57.463314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99db4130-0c61-458b-b34e-ddeaffee15b3 · outbound

This paper cites Disruption of myocardial Gata4 and Tbx5 results in defects in cardiomyocyte proliferation and atrioventricular septation.

Multi-modal single-cell foundation models via dynamic token adaptation Disruption of myocardial Gata4 and Tbx5 results in defects in cardiomyocyte proliferation and atrioventricular septation

Reference 14

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.192621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea13847c-b96d-49c2-b135-2fee4c1e2af2 · outbound

This paper cites DeepSpeed : System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters.

Multi-modal single-cell foundation models via dynamic token adaptation DeepSpeed : System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.072493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39d88ff-6ff2-43df-b62e-83a206400b96 · outbound

This paper cites Spiro, Shinya Tasaki, David A.

Multi-modal single-cell foundation models via dynamic token adaptation Spiro, Shinya Tasaki, David A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.076579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e87004c-2a93-46ac-97bb-665f0f9e149d · outbound

This paper cites Woodruff, Stephen Young, and Kim M.

Multi-modal single-cell foundation models via dynamic token adaptation Woodruff, Stephen Young, and Kim M

Reference 17

Resolution: verified exact; doi, observed 2026-08-16T12:19:57.169018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4c71c35-a7be-4d5a-b88f-6874edab68cc · outbound

This paper cites Theodoris, Ling Xiao, Anant Chopra, Mark D.

Multi-modal single-cell foundation models via dynamic token adaptation Theodoris, Ling Xiao, Anant Chopra, Mark D

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.084305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9491e515-35c9-41d1-b6ca-a3e04b96693b · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Multi-modal single-cell foundation models via dynamic token adaptation HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.088330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 549226a5-66e0-47ec-825d-df6c91aa24cd · outbound

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

Multi-modal single-cell foundation models via dynamic token adaptation scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA -seq data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.092638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ac426f1-d70c-4519-b472-3a026bc19b04 · outbound

This paper cites write newline.

Multi-modal single-cell foundation models via dynamic token adaptation write newline

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.097471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1828e020-2484-4381-91ae-b1ec7e172e80 · outbound

This paper cites @esa (Ref.

Multi-modal single-cell foundation models via dynamic token adaptation @esa (Ref

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.102853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a3b466-1f1b-42df-af5e-6103a55bc102 · outbound

This paper cites an unresolved cited work.

Multi-modal single-cell foundation models via dynamic token adaptation Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:57.107511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0429cf-4f46-4868-9ca3-54a417f7feec · outbound

This paper cites Ƙ [k6Xs-g4FNʑrE 6 km k ZΏ 5G I ƬE0 .' |Hҳ B nkQrZsGșOR(Z KxEoܿs>&'FRv oUr QNk!r ,= cL c u4IwõZǡ r_Kz51 . w |9=317zIǇ^ nwό1Wym aaݱK:Z C1ǩE4u tv9׬ ?l) `+gbDD ×»N;_NoHXZ Z Č1&.

Multi-modal single-cell foundation models via dynamic token adaptation Ƙ [k6Xs-g4FNʑrE 6 km k ZΏ 5G I ƬE0 .' |Hҳ B nkQrZsGșOR(Z KxEoܿs>&'FRv oUr QNk!r ,= cL c u4IwõZǡ r_Kz51 . w |9=317zIǇ^ nwό1Wym aaݱK:Z C1ǩE4u tv9׬ ?l) `+gbDD ×»N;_NoHXZ Z Č1&

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:19:57.510007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.