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Paper Citation Record · LEDGER

VAEs in the Presence of Missing Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.05301.

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

pith.paper-citation-record.v1
2006.05301 v3

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:45.682886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:21:07.114863Z

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 f8daba1b-1b8b-4b13-8ede-b726b23fb83d · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models VAEs in the Presence of Missing Data

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:45.682886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:45.682886Z digest=sha256:7836561eb5580e90924fc8995ea9618001b8d3db307890f6f748234a45ff513b

Observation a3796017-1c51-47a6-82f7-20c50fa2e957 · inbound

Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling cites this paper.

Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling VAEs in the Presence of Missing Data

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:07.118136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T17:26:20.658295Z digest=sha256:5b7fac54e36db6e65ffe02927364d448940ede2233406b882dfb4235524b2da1

Observation 1b230913-08a8-46d6-ac69-14b1aa660bb6 · inbound

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids cites this paper.

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids VAEs in the Presence of Missing Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T00:18:39.639799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:18:39.639799Z digest=sha256:5ee136be82bfa48143919bad87fb5a325842c8645b0c1c0d9c392dd99d9a0547