Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:44:27.990110Z
Paper Citation Record · LEDGER
Generative Intervention Models for Causal Perturbation Modeling
As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2411.14003.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact0
- verified fuzzy42
- unresolved19
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fee03044-f0d2-4196-af06-a04fb8760dc4 · outbound
This paper cites write newline.
Generative Intervention Models for Causal Perturbation Modeling write newline
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6cd5d6f-ba05-4538-ad24-327c79635273 · outbound
This paper cites ABCD - Strategy : Budgeted experimental design for targeted causal structure discovery.
Generative Intervention Models for Causal Perturbation Modeling ABCD - Strategy : Budgeted experimental design for targeted causal structure discovery
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7b1cbfb6-835f-4bb8-a36f-1deaa79c2a0e · outbound
This paper cites S., and Kilbertus, N.
Generative Intervention Models for Causal Perturbation Modeling S., and Kilbertus, N
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d82501f6-99af-42f6-9c32-2258cbab8810 · outbound
This paper cites and Albert, R.
Generative Intervention Models for Causal Perturbation Modeling and Albert, R
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dd5faf4f-e21c-4cb5-ac21-70e74eb900cf · outbound
This paper cites Differentiable causal discovery from interventional data.
Generative Intervention Models for Causal Perturbation Modeling Differentiable causal discovery from interventional data
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b7efdc0-f94a-45e1-abd1-da24cb366962 · outbound
This paper cites Supervised training of conditional Monge maps.
Generative Intervention Models for Causal Perturbation Modeling Supervised training of conditional Monge maps
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0d24eb59-5619-4b71-8d8c-0e1a72a5c21e · outbound
This paper cites G., Gut, G., Del Castillo, J.
Generative Intervention Models for Causal Perturbation Modeling G., Gut, G., Del Castillo, J
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6d92f340-dfac-4c54-85ea-a855fb4407aa · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 420f2d9d-7bba-45e1-aa49-184de2f0d16a · outbound
This paper cites R., and Mitavskiy, B.
Generative Intervention Models for Causal Perturbation Modeling R., and Mitavskiy, B
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7852733e-8c34-4cb4-a703-a6f7276c67a4 · outbound
This paper cites Scgpt: toward building a foundation model for single-cell multi-omics using generative ai.
Generative Intervention Models for Causal Perturbation Modeling Scgpt: toward building a foundation model for single-cell multi-omics using generative ai
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 28b4497b-517b-4ad0-94fd-8dedef3f646a · outbound
This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.
Generative Intervention Models for Causal Perturbation Modeling Sinkhorn distances: Lightspeed computation of optimal transport
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f53c8da-3cfa-4e38-92fa-518aa79e336e · outbound
This paper cites Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.
Generative Intervention Models for Causal Perturbation Modeling Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1784d3a1-ddb6-457b-8e93-291d0aba8d51 · outbound
This paper cites and Sinha, S.
Generative Intervention Models for Causal Perturbation Modeling and Sinha, S
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 83f85f13-60d8-4b57-881a-9129560253c8 · outbound
This paper cites On the number of experiments sufficient and in the worst case necessary to identify all causal relations among n variables.
Generative Intervention Models for Causal Perturbation Modeling On the number of experiments sufficient and in the worst case necessary to identify all causal relations among n variables
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d3d58b24-b50e-4fbc-a163-629d71405ff7 · outbound
This paper cites On the evolution of random graphs.
Generative Intervention Models for Causal Perturbation Modeling On the evolution of random graphs
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0ccf7fea-af5d-4e2f-8cb8-6428fdefcf02 · outbound
This paper cites Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions.
Generative Intervention Models for Causal Perturbation Modeling Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b6dbe14-b0e5-4f35-af19-c6bfa8fd4847 · outbound
This paper cites The Hill equation and the origin of quantitative pharmacology.
Generative Intervention Models for Causal Perturbation Modeling The Hill equation and the origin of quantitative pharmacology
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 40ad3def-ac14-43e7-b241-41dd409ec9da · outbound
This paper cites and Bengio, Y.
Generative Intervention Models for Causal Perturbation Modeling and Bengio, Y
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation df8ea26e-330f-4242-a301-f7f79094a63e · outbound
This paper cites Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks.
Generative Intervention Models for Causal Perturbation Modeling Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f9960c3a-b8b4-4224-8303-33bf5b20b12b · outbound
This paper cites a gele, A., Rothfuss, J., Lorch, L., Somnath, V. R., Sch \.
Generative Intervention Models for Causal Perturbation Modeling a gele, A., Rothfuss, J., Lorch, L., Somnath, V. R., Sch \
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1b46231-5cf4-472f-95b8-c477d2eca6b2 · outbound
This paper cites Large-scale foundation model on single-cell transcriptomics.
Generative Intervention Models for Causal Perturbation Modeling Large-scale foundation model on single-cell transcriptomics
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f97000c-476b-408b-b76c-a1383384ebea · outbound
This paper cites and B \"u hlmann, P.
Generative Intervention Models for Causal Perturbation Modeling and B \"u hlmann, P
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 80e5d037-d886-4433-969b-ebb5a7021b5a · outbound
This paper cites Predicting cellular responses to novel drug perturbations at a single-cell resolution.
Generative Intervention Models for Causal Perturbation Modeling Predicting cellular responses to novel drug perturbations at a single-cell resolution
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.828616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation abed8359-7ffd-4302-8927-6bbbfc88b6e5 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9c36acdf-f354-49eb-8e42-42cb50eb40ce · outbound
This paper cites Categorical reparameterization with gumbel-softmax.
Generative Intervention Models for Causal Perturbation Modeling Categorical reparameterization with gumbel-softmax
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42b29de6-006d-414b-9916-330375236d4c · outbound
This paper cites M., Jindal, K., Solnica-Krezel, L., and Morris, S.
Generative Intervention Models for Causal Perturbation Modeling M., Jindal, K., Solnica-Krezel, L., and Morris, S
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75e74d21-e77a-4c70-b3df-f810af029ca4 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0531754-e72b-4772-8657-da656d65231f · outbound
This paper cites T., and Dudley, J.
Generative Intervention Models for Causal Perturbation Modeling T., and Dudley, J
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bf8ac8e9-bd17-45c5-b40f-2033573f3578 · outbound
This paper cites B., Jordan, M.
Generative Intervention Models for Causal Perturbation Modeling B., Jordan, M
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a94ab99-1636-47b3-8cc2-d73a5f8d5e96 · outbound
This paper cites Large-scale differentiable causal discovery of factor graphs.
Generative Intervention Models for Causal Perturbation Modeling Large-scale differentiable causal discovery of factor graphs
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c5663d4d-ce65-4ca6-bdd6-54d219d6540c · outbound
This paper cites DiBS : Differentiable Bayesian structure learning.
Generative Intervention Models for Causal Perturbation Modeling DiBS : Differentiable Bayesian structure learning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.686268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 94f460b8-afed-4425-9c52-1d2fc72c8883 · outbound
This paper cites A., and Theis, F.
Generative Intervention Models for Causal Perturbation Modeling A., and Theis, F
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2c46495-422e-4721-83a3-b1bc5b333ba5 · outbound
This paper cites L., Srivatsan, S.
Generative Intervention Models for Causal Perturbation Modeling L., Srivatsan, S
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2388f19-eac7-4beb-9ba3-ac1a3cf0ee5d · outbound
This paper cites H., Colombo, D., Kalisch, M., and B \"u hlmann, P.
Generative Intervention Models for Causal Perturbation Modeling H., Colombo, D., Kalisch, M., and B \"u hlmann, P
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aa6ee5dc-3746-4453-9928-fb3d09161ee0 · outbound
This paper cites The concrete distribution: A continuous relaxation of discrete random variables.
Generative Intervention Models for Causal Perturbation Modeling The concrete distribution: A continuous relaxation of discrete random variables
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 80f72bf4-30c0-47b3-83fc-052f37fdef63 · outbound
This paper cites M., Magliacane, S., and Claassen, T.
Generative Intervention Models for Causal Perturbation Modeling M., Magliacane, S., and Claassen, T
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc1fb7b2-342d-45ef-95ca-0ad0d08f86a0 · outbound
This paper cites Standardizing structural causal models.
Generative Intervention Models for Causal Perturbation Modeling Standardizing structural causal models
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9448e124-09ca-4cdd-b931-66872dea9985 · outbound
This paper cites Learning independent causal mechanisms.
Generative Intervention Models for Causal Perturbation Modeling Learning independent causal mechanisms
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cf6d20ca-7344-4b20-a3d1-487e411100d5 · outbound
This paper cites Causality.
Generative Intervention Models for Causal Perturbation Modeling Causality
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8f70081-1ffa-4008-bc05-4ef631d2b009 · outbound
This paper cites Mechanistic neural networks for scientific machine learning.
Generative Intervention Models for Causal Perturbation Modeling Mechanistic neural networks for scientific machine learning
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3754feb0-49ef-4b24-b420-19ea402acfe3 · outbound
This paper cites and B \"u hlmann, P.
Generative Intervention Models for Causal Perturbation Modeling and B \"u hlmann, P
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 595661cf-582d-4268-8975-baefd76981a1 · outbound
This paper cites Elements of causal inference: foundations and learning algorithms.
Generative Intervention Models for Causal Perturbation Modeling Elements of causal inference: foundations and learning algorithms
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49b41f70-7616-4a2b-9e55-4fdbd5245a64 · outbound
This paper cites Beware of the simulated DAG ! Causal discovery benchmarks may be easy to game.
Generative Intervention Models for Causal Perturbation Modeling Beware of the simulated DAG ! Causal discovery benchmarks may be easy to game
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.454116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dd20bce6-b78d-4dd2-9526-58956f99d479 · outbound
This paper cites Predicting transcriptional outcomes of novel multigene perturbations with GEARS.
Generative Intervention Models for Causal Perturbation Modeling Predicting transcriptional outcomes of novel multigene perturbations with GEARS
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.435630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 37e7a340-6e87-42d8-9427-495901380527 · outbound
This paper cites BACKSHIFT : Learning causal cyclic graphs from unknown shift interventions.
Generative Intervention Models for Causal Perturbation Modeling BACKSHIFT : Learning causal cyclic graphs from unknown shift interventions
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.416072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 060ba1aa-7402-46c7-b934-87f5f966cb11 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7bab537-2fdb-4515-a8ea-9fafebc99438 · outbound
This paper cites Causality for Machine Learning, pp.\ 765–804.
Generative Intervention Models for Causal Perturbation Modeling Causality for Machine Learning, pp.\ 765–804
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.380271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4f955291-b59b-4a87-a64a-0ea77e35db10 · outbound
This paper cites R., Kalchbrenner, N., Goyal, A., and Bengio, Y.
Generative Intervention Models for Causal Perturbation Modeling R., Kalchbrenner, N., Goyal, A., and Bengio, Y
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:44:27.903396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b0d6fa-470e-4a6d-b46e-d3592cc3cd76 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T15:44:28.351484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bf47a7aa-e189-4b42-a128-90abd48c6538 · outbound
This paper cites Causation, prediction, and search.
Generative Intervention Models for Causal Perturbation Modeling Causation, prediction, and search
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.332708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7bce1f54-6300-48a9-b3b2-3d1522d5054a · outbound
This paper cites Permutation-based causal structure learning with unknown intervention targets.
Generative Intervention Models for Causal Perturbation Modeling Permutation-based causal structure learning with unknown intervention targets
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.315858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e3db897c-2b90-4310-9a97-720a4eaf74fb · outbound
This paper cites R., McFaline-Figueroa, J.
Generative Intervention Models for Causal Perturbation Modeling R., McFaline-Figueroa, J
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.295938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7bf268af-a0b3-4af9-8750-ea1bf7d9a3a7 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:44:27.931366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57a5edbb-0632-4298-845c-18749eb6baca · outbound
This paper cites Active Bayesian causal inference.
Generative Intervention Models for Causal Perturbation Modeling Active Bayesian causal inference
Reference 54
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e8341d78-e7f6-4692-a17f-200906c37de9 · outbound
This paper cites J., Camgoz, N.
Generative Intervention Models for Causal Perturbation Modeling J., Camgoz, N
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.238775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d90354a9-0e85-4b15-9717-20e88b6a8c61 · outbound
This paper cites Permutation-based causal inference algorithms with interventions.
Generative Intervention Models for Causal Perturbation Modeling Permutation-based causal inference algorithms with interventions
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.216705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c7074e14-2752-48d5-9140-f2214bdb6657 · outbound
This paper cites Characterizing and learning equivalence classes of causal DAG s under interventions.
Generative Intervention Models for Causal Perturbation Modeling Characterizing and learning equivalence classes of causal DAG s under interventions
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.188589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4d956728-171b-4b1a-ab23-ddfa1e514926 · outbound
This paper cites and Welch, J.
Generative Intervention Models for Causal Perturbation Modeling and Welch, J
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.167413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d8432e32-6a65-4e92-bcb3-4bf6091fc1d0 · outbound
This paper cites K., and Xing, E.
Generative Intervention Models for Causal Perturbation Modeling K., and Xing, E
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T15:44:28.146874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8aba6467-fdcb-4cfb-b946-d1379fb371d0 · outbound
This paper cites @esa (Ref.
Generative Intervention Models for Causal Perturbation Modeling @esa (Ref
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a10b0a-77cd-4e67-a5bd-36cc303344fb · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 61
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2d87472-0694-4934-9e64-c8b5c3436627 · outbound
This paper cites an unresolved cited work.
Generative Intervention Models for Causal Perturbation Modeling Unresolved cited work
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:44:27.990110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.