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Paper Citation Record · LEDGER

Understanding the Limitations of Conditional Generative Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.01171.

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

pith.paper-citation-record.v1
1906.01171 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:13:34.411974Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:01:53.668569Z

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 a9959a3a-07bc-4917-9880-abc8b348618b · inbound

Pretrained Reversible Generation as Unsupervised Visual Representation Learning cites this paper.

Pretrained Reversible Generation as Unsupervised Visual Representation Learning Understanding the Limitations of Conditional Generative Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:13:34.411974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:13:34.411974Z digest=sha256:5b870a3c851450a98d8292bdf32f8810af0c3211f990160c56defcb745cfef04

Observation e541baad-bd14-4328-a048-90e6816491f1 · inbound

ControlTac: Force- and Position-Controlled Tactile Data Augmentation with a Single Reference Image cites this paper.

ControlTac: Force- and Position-Controlled Tactile Data Augmentation with a Single Reference Image Understanding the Limitations of Conditional Generative Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:01:53.727597Z

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=2026-08-07T14:01:52.244108Z digest=sha256:b9f38efd3cac950f1852bbfae5c002356e886f91327ece7d8a82d5b9a272b19b