Pith. sign in

Paper Citation Record · LEDGER

Path Integral Sampler: a stochastic control approach for sampling

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:56:09.628721Z

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

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 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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T04:14:52.554045Z digest=sha256:e1842ccb4370abe1904cbb216160204cbc78231c51c6676b7afc21681113f4b2

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.

source=pdf_text observed=2026-08-05T13:56:09.628721Z digest=sha256:ff825307e31c5bca591ef46e6f76b6aea67263a4ae4d5848ca6c7fb6ed730f0b

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.

source=pdf_text observed=2026-08-05T12:35:07.035210Z digest=sha256:cbc8f92f94866c1bc4320c3f494d9f262481376e7783baf3e51e92921117c633

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T13:40:33.651916Z digest=sha256:88aaa615500d32dd923564fe809c7c0810b35225f9166d4e26090c1e97c03cdf

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.

source=arxiv_source observed=2026-08-03T06:26:59.071208Z digest=sha256:844dd5e093c39f0ba58e443046dd9556154b47631c5f5aa58a098b764519defe

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T13:40:14.354702Z digest=sha256:56b4b82a7065b740b4c8f2b3292d478dea5da3f332f8441dd91bbb9fb92d0017

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T22:15:38.911842Z digest=sha256:3d3add238726acdd67a26933df8e60247ee9f08fddd19ab09a39af0eb20a0a07

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T00:59:20.790604Z digest=sha256:7209d6e14d8f0ea42ea8fa993bcbe85a7b86f5433ce0d81b24179acdaf2841e5

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T02:48:35.907351Z digest=sha256:221d2cfc7815114fd99bc41660aa335e20a98aa106b1400fa9d1a8b07ec20320

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T01:55:25.100938Z digest=sha256:e43469553b760023432dc5281a7476f0c46db9ab9adaeae42b75dcbf9669a403

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T22:05:12.770906Z digest=sha256:7f57e79f3cb7132ae4c71f85e0dcfe2a1ac2691f891c189b4aaf4d190451b1b4

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T22:54:55.415927Z digest=sha256:e0f8c408ba7278383e64d5ee755376847397f8284598c30a76a3379513e49cb3

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.

source=arxiv_source observed=2026-08-01T22:43:04.968559Z digest=sha256:7f15b882a6b66d56440a142e59facbc974e005cd7698f0fa0089f272bdfada5e

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.

source=pdf_text observed=2026-08-01T07:35:29.170741Z digest=sha256:1c980226deb880344317f3f8488597e7749c2be28aa4013e29e86df49679b93a