Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:42:21.218963Z
Paper Citation Record · LEDGER
Causal Sensitivity Identification using Generative Learning
As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.01352.
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 2026-08-09T06:31:02.800959+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
34 of 34 outbound references displayed
- verified exact3
- verified fuzzy20
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fd731e7d-8b0b-4ad2-b880-0f60201d7e62 · outbound
This paper cites Bandyopadhyay and S.
Causal Sensitivity Identification using Generative Learning Bandyopadhyay and S
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:26.208665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f70231d5-60bf-40d6-a85c-abe113f9e5a0 · outbound
This paper cites Learning neural causal models from unknown interventions.
Causal Sensitivity Identification using Generative Learning Learning neural causal models from unknown interventions
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:26.151645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 97b8e9fb-2c34-480a-9297-8b8cf739cced · outbound
This paper cites Auto-Encoding Variational Bayes.
Causal Sensitivity Identification using Generative Learning Auto-Encoding Variational Bayes
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:42:19.594996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e417ab-59c2-40f0-a83a-ca354933d9c7 · outbound
This paper cites Mehta, and Shubham Choudhary.
Causal Sensitivity Identification using Generative Learning Mehta, and Shubham Choudhary
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.819276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 60b64f29-8315-48a6-9f4c-3aeee870762b · outbound
This paper cites Lauritzen and David J.
Causal Sensitivity Identification using Generative Learning Lauritzen and David J
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.617850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0a106c7-4370-4403-a9a4-f2e4f3786dd4 · outbound
This paper cites Liu et al.
Causal Sensitivity Identification using Generative Learning Liu et al
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.037969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cfe9e7a2-744c-42da-a719-40e2e1190fc8 · outbound
This paper cites Causal effect inference with deep latent-variable models.
Causal Sensitivity Identification using Generative Learning Causal effect inference with deep latent-variable models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:24.899052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cd8626b8-dc92-4535-8240-d8054027e58c · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:24.449706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 62290340-1ec0-47d8-a4e0-cec040bec70f · outbound
This paper cites Kitani, Dariu M.
Causal Sensitivity Identification using Generative Learning Kitani, Dariu M
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:23.996938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6500d59a-18a2-48b7-8415-6a93e98540d0 · outbound
This paper cites Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data.
Causal Sensitivity Identification using Generative Learning Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:42:20.478725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7400b281-60c1-4b4d-8262-432e71c170c9 · outbound
This paper cites The bnlearn dataset reposi- tory.
Causal Sensitivity Identification using Generative Learning The bnlearn dataset reposi- tory
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:23.683988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbebd1fb-8893-4fd6-b16b-8b4382899565 · outbound
This paper cites [van der Maaten and Hinton, 2008] Laurens van der Maaten and Geoffrey Hinton.
Causal Sensitivity Identification using Generative Learning [van der Maaten and Hinton, 2008] Laurens van der Maaten and Geoffrey Hinton
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:23.222361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d118a5a2-fb7c-4a41-94d2-2c8b6c1ae07d · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:22.792963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 539cd467-01d1-456f-807f-b2403255cfa1 · outbound
This paper cites Causal models for counterfactual identification and esti- mation.
Causal Sensitivity Identification using Generative Learning Causal models for counterfactual identification and esti- mation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:22.599118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f6d17a7e-3891-4926-92c0-7cad32fe7907 · outbound
This paper cites Characterizing and learning equivalence classes of causal dags under interventions.
Causal Sensitivity Identification using Generative Learning Characterizing and learning equivalence classes of causal dags under interventions
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:22.438988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 99ad668f-018e-47b0-b0d8-a6fbe70877da · outbound
This paper cites Zheng, X.
Causal Sensitivity Identification using Generative Learning Zheng, X
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:22.254994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 679059ff-26de-4c76-bd9f-751a5f315860 · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:21.901651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c260f70a-db9f-4332-ade9-4a7130d28aeb · outbound
This paper cites Cyclical annealing schedule: A simple approach to mitigating kl vanishing.
Causal Sensitivity Identification using Generative Learning Cyclical annealing schedule: A simple approach to mitigating kl vanishing
Reference 1988
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.373552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4eb5b6d4-0e0c-41a3-98bf-c7450b379f37 · outbound
This paper cites Trackintel: An open-source Python library for human mobility analysis.
Causal Sensitivity Identification using Generative Learning Trackintel: An open-source Python library for human mobility analysis
Reference 1997
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:42:21.556783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fda3d7bd-f96a-4201-8e24-4c4f946af557 · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2007
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:26.160018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 806156b5-40cd-4ade-b0c8-abf7ad9ebb62 · outbound
This paper cites Vaswani, N.
Causal Sensitivity Identification using Generative Learning Vaswani, N
Reference 2008
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:23.020019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b90577dc-0b5c-4dee-8862-5a07119a65dd · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2009
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:24.259302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e975409-4731-408f-b702-181671f5206e · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2010
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:22.053850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b697881e-9f86-4ed0-bcf6-b1e4c8a71139 · outbound
This paper cites Counterfactuals and causal reasoning.
Causal Sensitivity Identification using Generative Learning Counterfactuals and causal reasoning
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.998815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf75303b-c57f-48e7-9be5-ca19761374a1 · outbound
This paper cites Hershey and Peder A.
Causal Sensitivity Identification using Generative Learning Hershey and Peder A
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:26.168097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9a7305b9-543f-4296-a225-ab5fffc485da · outbound
This paper cites MacDonald and Walter Zucchini.
Causal Sensitivity Identification using Generative Learning MacDonald and Walter Zucchini
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:24.796794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cad17d40-b48f-450a-ac7a-b4ca387236e5 · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2018
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:26.183802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 09b90af0-6a3a-46fe-8ba5-bc16ce2ecd1a · outbound
This paper cites A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility pre- diction.
Causal Sensitivity Identification using Generative Learning A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility pre- diction
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:25.236338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 23975b16-206c-483a-beed-d0f61675fbd9 · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:26.175999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 33596347-50f2-4111-9505-317ab60eee84 · outbound
This paper cites an unresolved cited work.
Causal Sensitivity Identification using Generative Learning Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:42:26.192605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fc473dd1-e874-4ff1-bf03-3aa489e90ac9 · outbound
This paper cites Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art.
Causal Sensitivity Identification using Generative Learning Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:42:21.418632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 339c73f5-d840-41cc-bec8-01cfbab88620 · outbound
This paper cites When selection meets intervention: Additional complexities in causal discovery.
Causal Sensitivity Identification using Generative Learning When selection meets intervention: Additional complexities in causal discovery
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:26.200502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation de05cb9f-d9fe-4161-979b-218d3a65eaf3 · outbound
This paper cites The Book of Why: The New Science of Cause and Effect.
Causal Sensitivity Identification using Generative Learning The Book of Why: The New Science of Cause and Effect
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:42:24.606705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f5508fd8-606b-4a86-aa66-e8aca5880b6a · outbound
This paper cites Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora.
Causal Sensitivity Identification using Generative Learning Jointly Dynamic Topic Model for Recognition of Lead-lag Relationship in Two Text Corpora
Reference 2025
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:42:21.731958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.