Pith. sign in

Paper Citation Record · LEDGER

Conditional $\beta$-VAE for De Novo Molecular Generation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.01592.

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

pith.paper-citation-record.v1
2205.01592 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 2026-08-07T15:35:00.975478Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:08:22.907635Z

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 e4c61221-0e08-471b-b85d-be0913afa00f · inbound

A self-regulated convolutional neural network for classifying variable stars cites this paper.

A self-regulated convolutional neural network for classifying variable stars Conditional $\beta$-VAE for De Novo Molecular Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:00.975478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:35:00.975478Z digest=sha256:197925e98b0c084cf0625bbb240d6f36c57f17f44eaa9af4025e945106e0bd07

Observation 62dd10b9-1373-4a73-bff3-b9e1b1be05b4 · inbound

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation cites this paper.

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation Conditional $\beta$-VAE for De Novo Molecular Generation

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:08:22.996970Z

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=2026-08-06T19:08:21.745504Z digest=sha256:a9a30aa14de6e916a0936b623532a33846e7b10eee18497315ca74812e200850