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Paper Citation Record · LEDGER

Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.04246.

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

pith.paper-citation-record.v1
2401.04246 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:58:33.169910Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:46:13.519377Z

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 b2a2422d-b5bb-4dc4-8d21-5b934adcc931 · inbound

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics cites this paper.

Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:46:13.521518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T14:13:08.811592Z digest=sha256:90965875f9d93b2c66721a9647e4bf789f5f2cd7285b7e909a13a2dea01ba0f9

Observation 87c259a7-8a86-4592-8e2d-df97d3e61287 · inbound

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms cites this paper.

AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Scalable Normalizing Flows Enable Boltzmann Generators for Macromolecules

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T01:58:33.169910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:58:33.169910Z digest=sha256:75655270103cb7114f910d14aa49f64372b3a18897b03b558666c45ecec0b818