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Paper Citation Record · LEDGER

Stochastic Normalizing Flows

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2002.06707.

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

pith.paper-citation-record.v1
2002.06707 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:19:35.180342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:15:28.283533Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 916c1b5d-d63f-4102-b868-089b29a729ff · inbound

Denoising Diffusion Probabilistic Models cites this paper.

Denoising Diffusion Probabilistic Models Stochastic Normalizing Flows

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:24:24.830947Z

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=2026-05-11T03:24:24.752572Z digest=sha256:6af81ccaeffd8c41b36691f12671939b2d2b52eb2b200089509b115f91762472

Observation 32d2dd6c-f826-4161-947b-cad1fff9b7d2 · inbound

Exploring Generative Networks for Manifolds with Non-Trivial Topology cites this paper.

Exploring Generative Networks for Manifolds with Non-Trivial Topology Stochastic Normalizing Flows

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T13:19:35.180342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:19:35.180342Z digest=sha256:0dbcb3aa9454525449ee587e294b38d124ae8d94a8480b6c9f5eded9e9118929

Observation e296c230-c761-4ea4-9e8b-c1a2eb6b01e4 · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

Symmetry-preserving neural networks in lattice field theories Stochastic Normalizing Flows

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:33.760555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:33.760555Z digest=sha256:ee5edf11a2388c6d42f9b6cdd4931a23ceaf75a2da398a89b817b4e2e181c73e

Observation 51b21105-aa47-4e70-b1b9-9b0532ce1f95 · inbound

Studying Effective String Theory using deep generative models cites this paper.

Studying Effective String Theory using deep generative models Stochastic Normalizing Flows

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T15:02:51.358865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:02:51.358865Z digest=sha256:d731caeb7aaf2be033ba93f99ed0dd96d3bcb80b482db5b6de979d19d91673e9

Observation 27ce58fe-0c89-48e4-bf87-936a7166d737 · inbound

Continuously Tempered Diffusion Samplers cites this paper.

Continuously Tempered Diffusion Samplers Stochastic Normalizing Flows

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T13:56:09.571879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:56:09.571879Z digest=sha256:6e60c1cf151206b3702e770fcacdcfb36631f80427bca9342c2a1bfec8d96ffd

Observation 1c81b275-eab1-45a9-a39d-633c58f542c8 · inbound

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory cites this paper.

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory Stochastic Normalizing Flows

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:22:21.194074Z

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=2026-05-18T03:21:13.881357Z digest=sha256:5500d63ff062d6d79ebfc4194080a58dfa1d2ad06bdd28f3bd1692feeb8d8db7

Observation 1fc1b7a9-4f57-4558-ad36-651937ee365f · inbound

Intrinsic Width of the Flux Tube as a tool to explore confining mechanisms in Lattice Gauge Theories cites this paper.

Intrinsic Width of the Flux Tube as a tool to explore confining mechanisms in Lattice Gauge Theories Stochastic Normalizing Flows

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:15:28.286654Z

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=2026-05-25T07:11:55.724337Z digest=sha256:3d12c0ca4ec8525a1f954050604547e519d93f649715d47bbf3dc5c346c72750

Observation 209f0bd0-0ac8-460b-843d-15b8a0803fce · inbound

Stochastic Quantization as Optimal Control cites this paper.

Stochastic Quantization as Optimal Control Stochastic Normalizing Flows

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T07:35:29.092729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:35:29.092729Z digest=sha256:a87455f341c587dda1d78585a8964b6b2472b9c708411bee0bd52eed5647c7fc