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Paper Citation Record · LEDGER

Latent Constraints: Learning to Generate Conditionally from Unconditional 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:1711.05772.

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

pith.paper-citation-record.v1
1711.05772 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 2026-08-12T15:51:52.223525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:55:48.504210Z

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 af0e1e21-9f11-4bf5-9619-eacec5c2f8ed · inbound

Exploratory Study Of Human-AI Interaction For Hindustani Music cites this paper.

Exploratory Study Of Human-AI Interaction For Hindustani Music Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:51:52.223525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:51:52.223525Z digest=sha256:b1b3dbba006b64aa5f21fba92be6d7ea8d7a22753ef226734d635ac80e51ab1f

Observation 3ba4cb33-f678-4311-8f9e-29ae6f1dd618 · inbound

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design cites this paper.

Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:55:48.511898Z

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=2026-08-10T21:55:48.387355Z digest=sha256:e24169eb559adc2604d1a96eac015181022c0d12a8b25d241fb60cbf642bcecc