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Paper Citation Record · LEDGER

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.04178.

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

pith.paper-citation-record.v1
2302.04178 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:09:53.389663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:01:31.818351Z

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 13785aa4-9151-4ed9-91d5-cfab30392e51 · inbound

Effective Reward Specification in Deep Reinforcement Learning cites this paper.

Effective Reward Specification in Deep Reinforcement Learning DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:53.389663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:09:53.389663Z digest=sha256:0104e1b9346d95ed557807e909f3a41668e2743416d7c246eda6184d5096735f

Observation a2757597-159c-4dbf-b3c4-28759ee7cd74 · inbound

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction cites this paper.

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:31.825340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T01:22:15.608348Z digest=sha256:b81476783b004cd804a180549bddffd043c7fa55b179ac0a5106d7e00e0814e9