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Paper Citation Record · LEDGER

Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.04620.

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

pith.paper-citation-record.v1
2306.04620 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:57:05.372505Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:06:59.728071Z

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 aa23e0cc-1822-4644-a3b9-fcae201ee8db · inbound

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors cites this paper.

Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T18:57:05.372505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:57:05.372505Z digest=sha256:1491ae324426ba1f262b35104dc3e5eb281336198f01009f002adc71e30aa03f

Observation d158c28c-6ed1-4979-a523-ce91b78109da · inbound

Virtual Cells: Predict, Explain, Discover cites this paper.

Virtual Cells: Predict, Explain, Discover Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:07.116039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:07.116039Z digest=sha256:55b6dae7be7800fdd0c9d89d98cb1a3d47c69b916dd76a7cd21d0901e12401e4

Observation f2eda5c3-4c22-4ea1-be95-09c5d91394d7 · inbound

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

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:06:59.803036Z

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=arxiv_source observed=2026-08-07T14:06:57.093913Z digest=sha256:458325bbd58bbaa8a91dbb8adfe2a057299656c9e1623b2a1f0f2dcd4ccdcddd