Paper Citation Record · LEDGER

Path Integral Sampler: a stochastic control approach for sampling

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2111.15141.

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

pith.paper-citation-record.v1
2111.15141 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:29:35.911112Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:16:00.644972Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc392e44-b182-4d14-88d9-04d7b1879d66 · inbound

Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations cites this paper.

Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations Path Integral Sampler: a stochastic control approach for sampling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T19:29:35.911112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08cbb27-c32e-473a-908d-8bf8a07390c5 · inbound

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning cites this paper.

DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Path Integral Sampler: a stochastic control approach for sampling

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T12:38:14.360227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95666258-3339-4487-9c21-aa326842218b · inbound

Amortized In-Context Bayesian Posterior Estimation cites this paper.

Amortized In-Context Bayesian Posterior Estimation Path Integral Sampler: a stochastic control approach for sampling

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T15:01:42.924832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748fb6da-d032-476a-bc02-a55e381e26ff · inbound

Neural Flow Samplers with Shortcut Models cites this paper.

Neural Flow Samplers with Shortcut Models Path Integral Sampler: a stochastic control approach for sampling

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T13:11:58.898339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594ec9aa-9120-48ea-b7ad-4b99315e34ac · inbound

Aligning Protein Conformation Ensemble Generation with Physical Feedback cites this paper.

Aligning Protein Conformation Ensemble Generation with Physical Feedback Path Integral Sampler: a stochastic control approach for sampling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:44.546126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f47e5c-9e3a-4aa3-9f1f-59b382fecf3b · inbound

Sample complexity of Schr\"odinger potential estimation cites this paper.

Sample complexity of Schr\"odinger potential estimation Path Integral Sampler: a stochastic control approach for sampling

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.920876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc2446fb-caaa-495c-ab9c-1db78d88089f · inbound

Path Integral Optimiser: Global Optimisation via Neural Schr\"odinger-F\"ollmer Diffusion cites this paper.

Path Integral Optimiser: Global Optimisation via Neural Schr\"odinger-F\"ollmer Diffusion Path Integral Sampler: a stochastic control approach for sampling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:16.180145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb6f889-582e-45d1-987a-254da79af841 · inbound

Multi-Armed Sampling Problem and the End of Exploration cites this paper.

Multi-Armed Sampling Problem and the End of Exploration Path Integral Sampler: a stochastic control approach for sampling

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:17:02.772459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 195441c1-ee8d-4423-a52e-6f7e256574da · inbound

Continuously Tempered Diffusion Samplers cites this paper.

Continuously Tempered Diffusion Samplers Path Integral Sampler: a stochastic control approach for sampling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:56:09.628721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee7c493-9617-4a7a-81d5-9f45d2fe3cbb · inbound

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior cites this paper.

Feynman-Kac-Flow: Inference Steering of Conditional Flow Matching to an Energy-Tilted Posterior Path Integral Sampler: a stochastic control approach for sampling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:35:07.035210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbeaf6e7-dd87-40be-bb5e-5f06841dfdfc · inbound

Explicit and Effectively Symmetric Schemes for Neural SDEs on Lie Groups cites this paper.

Explicit and Effectively Symmetric Schemes for Neural SDEs on Lie Groups Path Integral Sampler: a stochastic control approach for sampling

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:25.438899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b0ecfc9-2f27-4289-a1ac-d4236108901c · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

Solving Inverse Problems with Flow-based Models via Model Predictive Control Path Integral Sampler: a stochastic control approach for sampling

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T06:26:59.071208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78830614-32cd-4934-afc2-96acf097805c · inbound

CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control cites this paper.

CMAD: Cooperative Multi-Agent Diffusion via Stochastic Optimal Control Path Integral Sampler: a stochastic control approach for sampling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:44:11.593452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9303b3cd-f41d-426f-8d61-96dacf52f485 · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Path Integral Sampler: a stochastic control approach for sampling

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:15.970310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da5e9ac0-9ace-4455-a22c-a9f290f19e1f · inbound

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics cites this paper.

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics Path Integral Sampler: a stochastic control approach for sampling

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.728459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8cbe3d3-e04d-4c6f-853b-f139b3b06c55 · inbound

Convergent Stochastic Training of Attention and Understanding LoRA cites this paper.

Convergent Stochastic Training of Attention and Understanding LoRA Path Integral Sampler: a stochastic control approach for sampling

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:55.082746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 862da54b-5f1f-4446-bf10-0b0b656f685c · inbound

Learning Generative Dynamics with Soft Law Constraints: A McKean-Vlasov FBSDE Approach cites this paper.

Learning Generative Dynamics with Soft Law Constraints: A McKean-Vlasov FBSDE Approach Path Integral Sampler: a stochastic control approach for sampling

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:56:14.712940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c457cce8-a366-46de-a25e-6e962002b087 · inbound

Stable and Near-Reversible Diffusion ODE Solvers for Image Editing cites this paper.

Stable and Near-Reversible Diffusion ODE Solvers for Image Editing Path Integral Sampler: a stochastic control approach for sampling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:09:07.532767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22c391ab-90c9-4bd3-a904-0caa0444e6ab · inbound

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators cites this paper.

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators Path Integral Sampler: a stochastic control approach for sampling

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:16:00.646920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f13b9af-ee16-4db8-a830-d5dc076adcf2 · inbound

Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling cites this paper.

Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling Path Integral Sampler: a stochastic control approach for sampling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:04.968559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b723de-c7be-4104-88d8-64f92265cba9 · inbound

Stochastic Quantization as Optimal Control cites this paper.

Stochastic Quantization as Optimal Control Path Integral Sampler: a stochastic control approach for sampling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T07:35:29.170741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.