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Paper Citation Record · LEDGER

FastFlows: Flow-Based Models for Molecular Graph Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.12419.

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

pith.paper-citation-record.v1
2201.12419 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:50:14.400526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:42:08.427376Z

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 1e5f42a8-4ca3-4793-b92e-b22950742174 · inbound

Open-source Polymer Generative Pipeline cites this paper.

Open-source Polymer Generative Pipeline FastFlows: Flow-Based Models for Molecular Graph Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T05:50:14.400526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:50:14.400526Z digest=sha256:8f5ab1b51aa2baa7e395deb744a81d6eae3a74d94206a76871b18a4da767d18b

Observation 43ee6369-82c9-497f-b32d-749619f65df8 · inbound

De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning cites this paper.

De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning FastFlows: Flow-Based Models for Molecular Graph Generation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:42:08.431153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T00:42:08.279444Z digest=sha256:76d872a383aa671aaab1b6e129b7d5b97526812cdcee451cc40d7a78f4cf781b