Paper Citation Record · LEDGER

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.07974.

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

pith.paper-citation-record.v1
2410.07974 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:36.706784Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T23:06:37.327760Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 535b09e1-2541-4b9a-bd0a-02be4bd2c130 · inbound

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations cites this paper.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T12:06:48.454507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f201bb5f-c5d9-4b09-9b48-c79ea9821f0c · inbound

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional cites this paper.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.706784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde8cbde-8a83-48a5-b736-f3ae78c7c7da · inbound

Machine-Learned Sampling of Conditioned Path Measures cites this paper.

Machine-Learned Sampling of Conditioned Path Measures Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:57.830220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e16b1b6-7d1a-4406-92ca-bd464783db85 · inbound

Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource cites this paper.

Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 4

Resolution: malformed identifier; local_arxiv, observed 2026-07-09T23:06:37.329026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.