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Paper Citation Record · LEDGER

Hybrid Models with Deep and Invertible Features

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.02767.

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

pith.paper-citation-record.v1
1902.02767 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T23:35:45.607156Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

34
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f57f6b68-5d60-44a3-a8d4-6727c7674b42 · inbound

Out-of-Distribution Detection Using Neural Rendering Generative Models cites this paper.

Out-of-Distribution Detection Using Neural Rendering Generative Models Hybrid Models with Deep and Invertible Features

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T23:36:27.603430Z

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.

source=pdf_text observed=2026-05-24T23:35:45.607156Z digest=sha256:89b80cee2bbac7e9f4f87c0865d982cebdcf1e3b49833493f6ab82421058701a

Observation e5df53f6-a5d2-4968-89a9-ccdaa6707a0f · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Hybrid Models with Deep and Invertible Features

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:42:47.577815Z

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.

source=arxiv_source observed=2026-05-10T15:42:47.274448Z digest=sha256:81ee6864becdd48aa1ecbdd6139e153c41b2cf103599596283175d67ed046d64