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Paper Citation Record · LEDGER

Towards Principled Unsupervised Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1511.06440.

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

pith.paper-citation-record.v1
1511.06440 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:52:33.645310Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:51:21.501439Z

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 ff3af24a-aef0-43ad-a628-965aecc1716a · inbound

SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs cites this paper.

SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs Towards Principled Unsupervised Learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T11:52:33.645310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:52:33.645310Z digest=sha256:28267b401b132c1aebb5e6a8d73b9531954590e6256aa74eba0c0af0a08719e4

Observation 55165faf-ac5e-4cf7-b0cd-5e896c997f60 · inbound

Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition cites this paper.

Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition Towards Principled Unsupervised Learning

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:51:21.507527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T17:51:21.344073Z digest=sha256:084d715c49720031251be82066c88714104a298f5b234a82e5734585e961d1df