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Paper Citation Record · LEDGER

Path Integral Sampler: a stochastic control approach for sampling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:01:42.924832Z

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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0 of 0 outbound references displayed

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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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:01:42.924832Z digest=sha256:f771bf6e1e5816d6ec907f6cba587689cb0e60e802898a2f208a620b0fd31a34

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:11:58.898339Z digest=sha256:920ac0512e289930a2bfcbd044b0ce003ae295ccab2685f52254e59c0f45dd1b

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.

source=arxiv_source observed=2026-08-07T12:37:44.546126Z digest=sha256:4c087e8b153be9a152b8878479270084b899cf5be5240f060930266c5d41533e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:25:14.920876Z digest=sha256:29b216745a20ad55ab902f490c4319a738087abbb5c3bf75cd474d9b783a5781

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:16.180145Z digest=sha256:0feb7f43d29220c0286b301983826b323938ace9fedbc65ced96a4929ee8f6e8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T04:14:52.554045Z digest=sha256:34d5b7fc6151d7b8cce1a26968d9878beca2356c7763a2de42925262bf4135b5

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

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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:c4f7d4cdd986b81e772deded9dae722ef74f1d5d87665eb7ced8bcecad8f777c

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

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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=sha256:06decce8737925cdb7c1b6a084c279f689065fee04f1bcc9536d7803ecade2db

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T13:40:33.651916Z digest=sha256:1bacb6c71d38b5e161291216918d4f1276563250700bdd77a16e902708bcdff4

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T13:40:14.354702Z digest=sha256:980e8fff123c3cd04f7b45e313c00acca740af112dc5796eeaef282311a7cc0c

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T00:59:20.790604Z digest=sha256:3edbc36c78b20a4e62b8bd744cb45a48db97e7521f69d0fdb16bc83bb15a7f47

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T02:48:35.907351Z digest=sha256:445ab6e8b4994f42749e2372b124566cbf07e0c21d67d544733e174f34e00632

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:55:25.100938Z digest=sha256:3c89db54b01f237b46299c880c980b5186160fd600b088e587e9a8c9f710754d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T22:05:12.770906Z digest=sha256:789de7c63a3b6a291e55bc473f4e218d0f13e80ecc4ceaf921bb7be31edd9b18

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T22:54:55.415927Z digest=sha256:ecfb1f5ec1b64621e4f67db562a176ade4817a399efab2a2e7f8e62e4b81f609

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

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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