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Paper Citation Record · LEDGER

Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07846.

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

pith.paper-citation-record.v1
2402.07846 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:20.828624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:47:41.797653Z

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 33a0d62c-2970-41bd-987e-5e0eaccce157 · inbound

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation cites this paper.

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:20.828624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:20.828624Z digest=sha256:562ad5aa31ec2dee7565ded5a80433e85737c04982a885c6cc1e648ca2735615

Observation 24d23726-2035-4be9-b18a-0646d84de92a · inbound

Generative Modeling of Discrete Data Using Geometric Latent Subspaces cites this paper.

Generative Modeling of Discrete Data Using Geometric Latent Subspaces Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:47:41.799670Z

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=2026-05-16T09:46:05.835850Z digest=sha256:7e245a062ad8a8a4c7fc8b17fc6a66464296b599ad3f4427a1ec48de7bceb9f2