Pith. sign in

Paper Citation Record · LEDGER

Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2307.01107.

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

pith.paper-citation-record.v1
2307.01107 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:19:35.177241Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:15:28.299609Z

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 adfcfbbf-350c-4e1c-b87c-79773ea0cb08 · inbound

Improvement of Heatbath Algorithm in LFT using Generative models cites this paper.

Improvement of Heatbath Algorithm in LFT using Generative models Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:44:08.277834Z

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=2026-05-24T07:43:13.163828Z digest=sha256:e31162f6a1da335922939e575b607e7c3bf50bd7328bb3dbd53092a4792329ec

Observation ed9cceab-2f2d-43d9-ba8f-80759a31818a · inbound

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

Exploring Generative Networks for Manifolds with Non-Trivial Topology Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T13:19:35.177241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:19:35.177241Z digest=sha256:07dbb37bbccef6825fb72b26da295578ed1da384dfbd28995025a8f72dde00a9

Observation 56660947-c66b-49a4-a119-ed52e523e2d0 · inbound

Machine-learning approaches to accelerating lattice simulations cites this paper.

Machine-learning approaches to accelerating lattice simulations Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:41.576519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:41.576519Z digest=sha256:38813b6abb74d87530e3f2755f31aece3e935126562a70819a081e34c199dc3b

Observation f77cd1a5-475a-4b78-951b-389f8e5a22bf · inbound

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

Symmetry-preserving neural networks in lattice field theories Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:34.125151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:34.125151Z digest=sha256:24a334a9991ebc13718bd79711a3123076b904f84f5abaaae7d41a7e623ebe83

Observation f9b102ab-915d-4f8a-9b86-e39e62f5bb17 · inbound

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

Studying Effective String Theory using deep generative models Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T15:02:48.606422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:02:48.606422Z digest=sha256:09a40b2ac6fec910f2d7194425ecf5252930e00b87d91082528f0387384b6338

Observation 6bcf9da1-3904-459b-acbc-8ed88d031f98 · 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 Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:22:21.140097Z

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=sha256:5ee2bea2e8ae377da88b6ca68344bd953f3de4055f9feb2ef8f9b6ffaf369f76

Observation e1585be3-531b-4624-b913-ed6581c56953 · 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 Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:15:28.302484Z

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=sha256:7a4e7f0d6925e0fc4fd2d5df0420008d057f5e5aa02e31ab3153470240b9ec8d

Observation 72e343b8-0659-4b76-aa80-741e156a3395 · inbound

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality cites this paper.

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:00.771876Z

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=2026-05-10T16:02:25.832563Z digest=sha256:4105336308c09271579d3447101a45258667e40efb93479cadf5885079261e1e

Observation df144a40-ce1a-4096-91b1-502f47aa2cb6 · inbound

Stochastic Quantization as Optimal Control cites this paper.

Stochastic Quantization as Optimal Control Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T07:35:29.082372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:35:29.082372Z digest=sha256:8dde7865de9eb42e0fc9aeeed4f2fc6730ac1de52408b17f4c664432ed02ce62