Pith. sign in

Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:40:47.067798Z

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 90cf12eb-c876-4055-8728-84fe0c2148d8 · inbound

Scaling of Stochastic Normalizing Flows in $\mathrm{SU}(3)$ lattice gauge theory cites this paper.

Scaling of Stochastic Normalizing Flows in $\mathrm{SU}(3)$ lattice gauge theory Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-12T05:40:47.067798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:40:47.067798Z digest=sha256:26e1e7149d15ee02455bae98e262885f8c0a74cd8c295e2ded977cf524e92438

Observation ed1a0020-91ec-4ba2-ac2c-3b18100eb27b · inbound

Discovery of Spin-Crossover Candidates with Equivariant Graph Neural Networks and Relevance-Based Classification cites this paper.

Discovery of Spin-Crossover Candidates with Equivariant Graph Neural Networks and Relevance-Based Classification Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T21:20:47.533857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:20:47.533857Z digest=sha256:cd99c5f92c79aac2b0be6de26b89494f56beca32392a7cecab78251da65d5b5d

Observation cc528de5-f9ac-467b-a438-d790b8f11301 · inbound

Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching cites this paper.

Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching Equivariant Flows: sampling configurations for multi-body systems with symmetric energies

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T19:09:43.382300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:09:43.382300Z digest=sha256:fb004768d79fafea7e5d3a62e2ca3564ab151d21892f179e6bb83a09b4624de4

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:e29cacd31d317b6409464c9f026141c88f9615f02fd5bbb4ad6d63997237dff0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T09:57:31.774637Z digest=sha256:ce25845dea856cd0572078d879ea0fbb915b916331734a87a5664c4d940e5991

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T03:21:13.881357Z digest=sha256:dfe88f6ed4470fcdd097dbcc3f094682db5ec11cb8a1e4c78235a9162dce70f2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:01:10.312237Z digest=sha256:a48b30f93a41f9058efaae0bb81874d89fe50c18f9b2066ecb53d8c1674f8d8d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:38ddc9700b6b86906fed8e1927c92c2f1e3a7c0de287213505cd07e42e6899e1