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Paper Citation Record · LEDGER

Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.00753.

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

pith.paper-citation-record.v1
1910.00753 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:55.814068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:37:29.934223Z

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 47db26da-a02c-448a-af51-e22d9f63753b · inbound

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning cites this paper.

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:55.814068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:55.814068Z digest=sha256:aa6767a4f1683d2506bd8f8f91b8b681a34beef688ea0f793b4f6f278bdd36b9

Observation 7f8ef1a7-14a1-48b8-9e48-354d6358fe71 · inbound

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling cites this paper.

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:01:13.613252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T09:57:31.774637Z digest=sha256:5b0af0e2765767d331c75183264640784b9e14909da2f50d854b989490b29375

Observation d2537970-3945-4aa4-8721-d9643ab3c450 · 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 Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:22:20.987185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:21:13.881357Z digest=sha256:0601adb487ea9c5ded83fdc2159336a1906ad42d3f9a84f6686af788b12a56a2

Observation c957e3c5-7af4-4d27-b303-42ca0ca9313b · inbound

Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models cites this paper.

Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.146818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:01:10.312237Z digest=sha256:3441d6e86210bdccde91b884a4afa4a5c43aea635ab1092bb5c6e2dd2fa8ab4a

Observation 9079af49-5dc7-4f47-a58f-52e3809f312f · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:37:29.935902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:3825568bf9ef3eb9956f4985454e74e0638f5b83407e4e709387024699579a97