Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:26.560611Z
Paper Citation Record · LEDGER
Towards Identifiability of Interventional Stochastic Differential Equations
As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2505.15987.
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 2026-06-29T04:27:28.819903Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:55:51.001001Z
Reference resolution
16 of 16 outbound references displayed
- verified exact1
- verified fuzzy7
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 08648bd8-258e-4aa2-95ef-d4c507bf990d · outbound
This paper cites Identifying drift, diffusion, and causal structure from temporal snap- shots.arXiv preprint arXiv:2410.22729,.
Towards Identifiability of Interventional Stochastic Differential Equations Identifying drift, diffusion, and causal structure from temporal snap- shots.arXiv preprint arXiv:2410.22729,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:25.831878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 268756b1-10b2-4d07-829c-2ae3a4045f50 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Towards Identifiability of Interventional Stochastic Differential Equations Adam: A Method for Stochastic Optimization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:25.900200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d223e50-264c-4a3a-9654-ab96b85b3588 · outbound
This paper cites Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations.
Towards Identifiability of Interventional Stochastic Differential Equations Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:17:26.705487Z
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 8a6d5754-0cac-46b8-bbe2-4a0fc2a453c5 · outbound
This paper cites Decoupled Weight Decay Regularization.
Towards Identifiability of Interventional Stochastic Differential Equations Decoupled Weight Decay Regularization
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:26.143625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b61aa33e-e7fb-4f1f-b449-e1bce82bfcc1 · outbound
This paper cites an unresolved cited work.
Towards Identifiability of Interventional Stochastic Differential Equations Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:17:27.400314Z
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 1e2ee67c-c866-4338-ba35-d248b9ad66a5 · outbound
This paper cites With this setup, we obtain a family of distributions{ρ k}K k=0 in gene expression space.
Towards Identifiability of Interventional Stochastic Differential Equations With this setup, we obtain a family of distributions{ρ k}K k=0 in gene expression space
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:27.087399Z
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 1845e202-eac6-4b5b-a3a4-ba29b2be0579 · outbound
This paper cites Each interventional distributionρ k is obtained by taking the observational dataρ 0 as initial distribu- tion and simulating the SDE via the Euler-Maruyama method.
Towards Identifiability of Interventional Stochastic Differential Equations Each interventional distributionρ k is obtained by taking the observational dataρ 0 as initial distribu- tion and simulating the SDE via the Euler-Maruyama method
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:26.960915Z
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 c7ae7b59-b754-4630-8276-c6fc8d636c71 · outbound
This paper cites an unresolved cited work.
Towards Identifiability of Interventional Stochastic Differential Equations Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:17:27.248847Z
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 243288d9-eb06-496b-9bb2-ccdc4c297fd2 · outbound
This paper cites Gaussian Approximations of Small Noise Diffusions in Kullback-Leibler Divergence.
Towards Identifiability of Interventional Stochastic Differential Equations Gaussian Approximations of Small Noise Diffusions in Kullback-Leibler Divergence
Reference 2005
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:26.194966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e6b44ac-6193-4812-8763-9b21fa90d7c4 · outbound
This paper cites Regvelo: gene-regulatory-informed dynamics of single cells.bioRxiv, pp.
Towards Identifiability of Interventional Stochastic Differential Equations Regvelo: gene-regulatory-informed dynamics of single cells.bioRxiv, pp
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:27.653105Z
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 050b8d0e-95ad-41cf-b435-002ca5083494 · outbound
This paper cites Efficient matrix sensing using rank-1 gaussian measurements.
Towards Identifiability of Interventional Stochastic Differential Equations Efficient matrix sensing using rank-1 gaussian measurements
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:27.490605Z
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 27e9bd8c-b5c0-4624-b9e7-7f8b81ec3f2b · outbound
This paper cites Long-time dynamics of stochastic differential equations.
Towards Identifiability of Interventional Stochastic Differential Equations Long-time dynamics of stochastic differential equations
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:25.573409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99352312-3096-40f6-8df6-bd8ba47401fc · outbound
This paper cites Learning Activation Functions: A new paradigm for understanding Neural Networks.
Towards Identifiability of Interventional Stochastic Differential Equations Learning Activation Functions: A new paradigm for understanding Neural Networks
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:17:25.775083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3b82730-31ce-4fd7-a5a7-f258f8390e3d · outbound
This paper cites Scaling structural learning with no-bears to infer causal transcriptome networks.
Towards Identifiability of Interventional Stochastic Differential Equations Scaling structural learning with no-bears to infer causal transcriptome networks
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:28.160652Z
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 9617002e-a268-4b38-86dd-293dd78bd001 · outbound
This paper cites The power of convex relaxation: Near-optimal matrix com- pletion.IEEE transactions on information theory, 56(5):2053–2080,.
Towards Identifiability of Interventional Stochastic Differential Equations The power of convex relaxation: Near-optimal matrix com- pletion.IEEE transactions on information theory, 56(5):2053–2080,
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:28.342203Z
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 f7a7b351-fd79-4097-8b04-1a4917690b95 · outbound
This paper cites Causal modeling with stationary diffusions.
Towards Identifiability of Interventional Stochastic Differential Equations Causal modeling with stationary diffusions
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:17:27.864990Z
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 61d78244-61f6-4e30-8a0a-e6de4fdd14a5 · inbound
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Towards Identifiability of Interventional Stochastic Differential Equations
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-13T02:18:50.803032Z
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 50b7b346-f9f2-43ca-9864-0fa486abdedf · inbound
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Towards Identifiability of Interventional Stochastic Differential Equations
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-13T02:18:50.803032Z
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 7791955d-79d2-4d42-b15b-bae48ad18bee · inbound
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.
A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Towards Identifiability of Interventional Stochastic Differential Equations
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-13T02:18:50.803032Z
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 a2d3a699-3957-4120-8671-a937d9f83fe1 · inbound
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts cites this paper.
Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts Towards Identifiability of Interventional Stochastic Differential Equations
Reference 50
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-13T02:18:50.803032Z
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.