Paper Citation Record · LEDGER

GFlowNets and variational inference

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2210.00580.

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

pith.paper-citation-record.v1
2210.00580 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:09:54.951100Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:31.054036Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 70fc0163-dc87-4c1f-8fb0-60de15f12c19 · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning GFlowNets and variational inference

Reference 214

Resolution: unresolved; no resolver link, observed 2026-08-11T19:09:54.951100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8989a43-e9e0-494b-993f-8c0291629678 · inbound

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation cites this paper.

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation GFlowNets and variational inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:30:14.989325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd732e6-7e22-45c0-92cc-e9450118fdd8 · inbound

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling cites this paper.

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling GFlowNets and variational inference

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:06:37.468844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7848e9-710b-46ca-8002-3a2f6c825eae · inbound

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training cites this paper.

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training GFlowNets and variational inference

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:55.814281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 924f7b66-11d2-41bf-9445-db5af945a592 · inbound

Torsional-GFN: a conditional conformation generator for small molecules cites this paper.

Torsional-GFN: a conditional conformation generator for small molecules GFlowNets and variational inference

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:00.667914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceeb965b-b12d-4c57-82ae-0ade82f3e970 · inbound

Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning cites this paper.

Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning GFlowNets and variational inference

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T19:12:09.404248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a8f1a0-dd3f-420e-a4cc-6cebdb97ece1 · inbound

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

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees GFlowNets and variational inference

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:55:31.056107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51d053a5-aebf-4174-b22e-9eb582c4bc35 · inbound

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software cites this paper.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software GFlowNets and variational inference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T00:15:53.942323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7849c2f5-5a11-4b29-a0a6-998c9d08f4dc · inbound

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier cites this paper.

Machine learning for sample-based quantum diagonalization: generative configuration recovery and the classical-simulability frontier GFlowNets and variational inference

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T15:33:58.207420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.