Paper Citation Record · LEDGER

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2602.18885.

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

pith.paper-citation-record.v1
2602.18885 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:54:20.998507Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

23 of 23 outbound references displayed

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Outbound references

Observation db9e0f1b-bd45-43d3-a2e9-b2dda92b1010 · outbound

This paper cites K., Gautam, D., Bevilacqua, B., Imran, A., Shah, R., Naghipourfar, M., Teyssier, N., Ilango, R., Nagaraj, S., Dong, M., et al.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction K., Gautam, D., Bevilacqua, B., Imran, A., Shah, R., Naghipourfar, M., Teyssier, N., Ilango, R., Nagaraj, S., Dong, M., et al

Reference 1

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Observation b380bbd8-7251-4074-9b04-e1001f13e83c · outbound

This paper cites M., Zhou, Y ., Crepaldi, L., Usluer, S., Dunham, A., Braunger, J.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction M., Zhou, Y ., Crepaldi, L., Usluer, S., Dunham, A., Braunger, J

Reference 3

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Observation 6525cdd9-4033-4fdf-ac45-a4b712f70054 · outbound

This paper cites M., Torkar, M., Li, D., and Karaletsos, T.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction M., Torkar, M., Li, D., and Karaletsos, T

Reference 5

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Observation d2500ee2-1471-4495-81cc-19694460d1cc · outbound

This paper cites D., Simmonds, S.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction D., Simmonds, S

Reference 9

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Observation 089a7214-378e-4e5a-b817-f5055eb3932f · outbound

This paper cites S., Quake, S.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction S., Quake, S

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:18.807243Z

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Observation b3cd1f4c-d580-42cf-b3e0-10e19355cb8e · outbound

This paper cites E., Huang, Q., Fang, T., et al.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction E., Huang, Q., Fang, T., et al

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:19.123493Z

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Observation 813bceda-ca1d-41ae-aaf7-9ab93fd93eb9 · outbound

This paper cites P., Ektefaie, Y ., et al.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction P., Ektefaie, Y ., et al

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:19.495157Z

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Observation 3b282257-a0ee-4235-b8e5-ef1588c188ca · outbound

This paper cites Data Statistics A.1.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Data Statistics A.1

Reference 16

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Observation e13fcd7e-79ab-4287-ac35-f561bfa8bb18 · outbound

This paper cites Gene expression profiles are measured under single-gene perturbations with matched control cells.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Gene expression profiles are measured under single-gene perturbations with matched control cells

Reference 17

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Observation fbb905c5-697e-42c0-ae7d-0b0f67b219c1 · outbound

This paper cites an unresolved cited work.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Unresolved cited work

Reference 18

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Observation c7b469d8-98a4-4cdb-b79f-27f516c21f17 · outbound

This paper cites The embeddings are available in two variants: Ada (1,536-dim) and Model 3 (3,072-dim), covering 93,800 and 133,736 genes respectively.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction The embeddings are available in two variants: Ada (1,536-dim) and Model 3 (3,072-dim), covering 93,800 and 133,736 genes respectively

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:20.547903Z

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Observation f2c8f8ba-9129-46b9-b78c-b946a2b29367 · outbound

This paper cites While effective at capturing global expression shifts, these methods are not explicitly designed to recover sparse gene-level effects.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction While effective at capturing global expression shifts, these methods are not explicitly designed to recover sparse gene-level effects

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:20.836444Z

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Observation efb8a6c4-6bb9-4bfd-992b-7294c2e21a9e · outbound

This paper cites Recent studies further explore the integration oftextual and semantic biological knowledge.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Recent studies further explore the integration oftextual and semantic biological knowledge

Reference 23

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Observation 62aea791-efe6-49f5-8df7-3e71748df6ea · outbound

This paper cites an unresolved cited work.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Unresolved cited work

Reference 228

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Observation ee9c6172-d5af-4544-9a81-4bf4eaf48bd5 · outbound

This paper cites scgenept: Is lan- guage all you need for modeling single-cell perturbations? bioRxiv, pp.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction scgenept: Is lan- guage all you need for modeling single-cell perturbations? bioRxiv, pp

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:17.690200Z

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Observation c64f80d1-855f-4175-8122-da5b17adfaa8 · outbound

This paper cites M., Nassar, M., Osi´nski, B., Eksi, R., Yan, Z., Stark, R., Zhang, K., and Grae- pel, T.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction M., Nassar, M., Osi´nski, B., Eksi, R., Yan, Z., Stark, R., Zhang, K., and Grae- pel, T

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:19.728929Z

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Observation 35c7049f-c36b-4ada-85eb-5a4f35ed769e · outbound

This paper cites L., Fang, T., Doncheva, N.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction L., Fang, T., Doncheva, N

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:18.945360Z

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Observation e0c167eb-d1f3-44be-af26-8dfc010d49cb · outbound

This paper cites A systematic comparison 9 Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction of single-cell perturbation response prediction models.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction A systematic comparison 9 Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction of single-cell perturbation response prediction models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:18.240920Z

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Observation fe9852c4-9d7e-426f-ac63-40d9848dc454 · outbound

This paper cites TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:19.333431Z

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Observation 183f4cc8-6620-4ae4-b082-61c663d525f5 · outbound

This paper cites Subsequent methods, including (Lotfollahi et al., 2023; Adduri et al., 2025), extend this paradigm by conditioning latent variables on perturbation identities and cellular contexts.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Subsequent methods, including (Lotfollahi et al., 2023; Adduri et al., 2025), extend this paradigm by conditioning latent variables on perturbation identities and cellular contexts

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:20.698533Z

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Observation df93421d-cb33-4b0e-a864-05593006b92c · outbound

This paper cites Diversity by Design: Addressing Mode Collapse Improves scRNA-seq Perturbation Modeling on Well-Calibrated Metrics.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Diversity by Design: Addressing Mode Collapse Improves scRNA-seq Perturbation Modeling on Well-Calibrated Metrics

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:18.379945Z

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Observation 04c86f23-5495-4eed-ae8a-4cc2657b2b70 · outbound

This paper cites and Zou, J.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction and Zou, J

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:17.297789Z

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Observation a2250ec6-c850-48b9-af65-4d47315e243e · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction Categorical Reparameterization with Gumbel-Softmax

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T21:54:18.085167Z

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Pith citing papers

No inbound Pith citation observations are available.