Paper Citation Record · LEDGER

Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.03765.

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

pith.paper-citation-record.v1
1909.03765 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:45:59.088927Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:50.301657Z

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 12aec95b-c12e-48fa-8e75-d23765f06f25 · inbound

Geometry-Preserving Encoder/Decoder in Latent Generative Models cites this paper.

Geometry-Preserving Encoder/Decoder in Latent Generative Models Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T19:45:59.088927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a86b940-a501-44ef-a718-77dd99cdb04f · inbound

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning cites this paper.

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:09.063448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d570b742-2def-4176-9847-b3aea6c6a796 · inbound

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting cites this paper.

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:09:50.303615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 464ffbaf-ed0b-45e6-8101-cd9faaafbe25 · inbound

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting cites this paper.

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Balancing Reconstruction Quality and Regularisation in ELBO for VAEs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T12:00:17.350802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.