Paper Citation Record · LEDGER

Unifying Generative Models with GFlowNets and Beyond

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.02606.

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

pith.paper-citation-record.v1
2209.02606 v2

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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:48:04.440824Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T20:54:05.448468Z

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 8ea8ffa0-da46-46b2-b269-1f30b6fe440a · inbound

Adaptive Destruction Processes for Diffusion Samplers cites this paper.

Adaptive Destruction Processes for Diffusion Samplers Unifying Generative Models with GFlowNets and Beyond

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T11:48:04.440824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997f0fa8-7b95-45f6-9c56-5c6f81b9dd71 · inbound

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards cites this paper.

Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Unifying Generative Models with GFlowNets and Beyond

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:17.282553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a649703-0621-462c-8363-81e61852d609 · inbound

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees cites this paper.

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees Unifying Generative Models with GFlowNets and Beyond

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:55:31.041497Z

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.

Observation 6b903491-858b-4f99-b45c-a810c5350a69 · inbound

Your GFlowNet Secretly Learns an Optimal Transport Plan cites this paper.

Your GFlowNet Secretly Learns an Optimal Transport Plan Unifying Generative Models with GFlowNets and Beyond

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:55.508056Z

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.

Observation e99dacf5-210f-44dd-baf8-f0e55c9cfefc · inbound

A Distributional Framework for Generative Modeling of Molecular Crystals cites this paper.

A Distributional Framework for Generative Modeling of Molecular Crystals Unifying Generative Models with GFlowNets and Beyond

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T20:54:05.450543Z

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.