Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T01:00:08.364117Z
Paper Citation Record · LEDGER
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2506.12439.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T23:17:42.425127Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T23:24:01.822159Z
Reference resolution
22 of 22 outbound references displayed
- verified exact6
- verified fuzzy7
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9b07a889-e5b5-4aa5-acd1-94a2812cba00 · outbound
This paper cites an unresolved cited work.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Unresolved cited work
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T01:00:09.176914Z
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.
Observation c5c8ab90-9d7e-48ec-be96-a8882abf39b7 · outbound
This paper cites an unresolved cited work.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T01:00:10.421272Z
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.
Observation fb494305-d2e8-442e-b1e1-7e6b3f3353d3 · outbound
This paper cites doi: 10.1038/s41556-022-01072-x.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: 10.1038/s41556-022-01072-x
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-07T01:00:08.796128Z
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.
Observation 28878b17-a548-4ad1-9eeb-9f3e2eb39286 · outbound
This paper cites URL https://dl.acm.org/doi/10.5555/ 3495724.3495797.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space URL https://dl.acm.org/doi/10.5555/ 3495724.3495797
Reference 9
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T01:00:09.927782Z
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.
Observation 9d8a24fa-670f-4ebe-b708-c4e252270a43 · outbound
This paper cites doi: https://doi.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: https://doi
Reference 10
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T01:00:09.652781Z
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.
Observation 89a840ea-4e7b-406c-9bfd-ed0984296e63 · outbound
This paper cites Moreover, the number of genes that are differentially expressed following a perturbation is generally lower in the Wessels2023 study than in Norman2019 (Fig.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Moreover, the number of genes that are differentially expressed following a perturbation is generally lower in the Wessels2023 study than in Norman2019 (Fig
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:10.268640Z
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.
Observation 8ffc4306-0095-49ad-a489-7c7194289146 · outbound
This paper cites Causal machine learning for single-cell genomics.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Causal machine learning for single-cell genomics
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:00:07.781786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fda698ac-9729-4cb2-ae9e-862b8e69f91f · outbound
This paper cites an unresolved cited work.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Unresolved cited work
Reference 20
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T01:00:09.424310Z
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.
Observation 5d615f92-f8c5-4b2e-a547-52761d3c2456 · outbound
This paper cites Each row lists a latent factor, the number of targeted perturbations, and associated biological processes within it.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Each row lists a latent factor, the number of targeted perturbations, and associated biological processes within it
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:10.115819Z
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.
Observation d5acaee7-cad6-445f-980d-95de24355cde · outbound
This paper cites 7 A-B shows the histogram of permuted vs true contributions for every L2BP on the first meta-pathway factor and Fig.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space 7 A-B shows the histogram of permuted vs true contributions for every L2BP on the first meta-pathway factor and Fig
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:10.562939Z
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.
Observation 6d12c09b-7dbb-427f-b343-6dae5761a6eb · outbound
This paper cites ,105}by forwarding the cells and averaging (over 10,000 realization of Z∼ N(µ, σ2)) the obtained pathway archetype scores (i.e., the causal latent factors Us).
Interpretable Causal Representation Learning for Biological Data in the Pathway Space ,105}by forwarding the cells and averaging (over 10,000 realization of Z∼ N(µ, σ2)) the obtained pathway archetype scores (i.e., the causal latent factors Us)
Reference 105
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:10.743815Z
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.
Observation 818625da-1e06-4e31-9fe3-994f290c8378 · outbound
This paper cites Kingma and Max Welling.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Kingma and Max Welling
Reference 2000
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e81183e6-8711-4f7f-bd7b-529670f28a2f · outbound
This paper cites an unresolved cited work.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Unresolved cited work
Reference 2002
- Resolution
- unresolved
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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.
Observation 19969123-5719-44a3-b2cf-ff53d7b86cab · outbound
This paper cites Gilles Gut, Stefan G Stark, Gunnar Rätsch, and Natalie R Davidson.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Gilles Gut, Stefan G Stark, Gunnar Rätsch, and Natalie R Davidson
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:11.569875Z
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.
Observation 5dcf7890-7567-4260-8f8c-9a851cc10404 · outbound
This paper cites Season combinatorial intervention predictions with Salt & Peper.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Season combinatorial intervention predictions with Salt & Peper
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:00:06.702084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d110e4df-9ab7-48ff-b51f-b9d85aa68b84 · outbound
This paper cites doi: 10.1186/ s13059-017-1382-0.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: 10.1186/ s13059-017-1382-0
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:00:07.903311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adaa8cc3-a438-4013-bf07-8503e7218fdd · outbound
This paper cites Deep structural causal models for tractable counterfactual inference.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Deep structural causal models for tractable counterfactual inference
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:11.208473Z
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.
Observation b876e3b4-5f60-433f-8a78-26087d55600c · outbound
This paper cites doi: 10.3390/biom10121659.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: 10.3390/biom10121659
Reference 2020
- Resolution
- verified exact
- doi, observed 2026-08-07T01:00:08.683005Z
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.
Observation d7ea1f4c-9378-4c2a-a80a-6caa0415100c · outbound
This paper cites an unresolved cited work.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T01:00:10.898402Z
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.
Observation 2e85b527-0682-494b-a667-8947f1deddcd · outbound
This paper cites doi: 10.1038/S41592-022-01705-X.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: 10.1038/S41592-022-01705-X
Reference 2022
- Resolution
- verified exact
- doi, observed 2026-08-07T01:00:08.552399Z
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.
Observation 2c8bf998-dd39-453e-9ba8-242000b88edf · outbound
This paper cites scGen predicts single-cell perturbation responses.Nature Methods, 16(8):715–721,.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space scGen predicts single-cell perturbation responses.Nature Methods, 16(8):715–721,
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T01:00:11.391247Z
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.
Observation d756af5c-76e2-412f-a415-3d0c4878fa04 · outbound
This paper cites doi: 10.1038/s41587-023-01940-3.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space doi: 10.1038/s41587-023-01940-3
Reference 2024
- Resolution
- verified exact
- doi, observed 2026-08-07T01:00:08.910112Z
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.
Pith citing papers
Observation 35d35872-516b-4a01-bb40-550391bfd9a7 · inbound
What Makes a Representation Good for Single-Cell Perturbation Prediction? cites this paper.
What Makes a Representation Good for Single-Cell Perturbation Prediction? Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T08:08:08.876349Z
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.
Observation 9f935352-461d-4a78-8d2a-a393f8b583c1 · inbound
Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction cites this paper.
Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:24:01.823512Z
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.