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Paper Citation Record · LEDGER

A Survey on Deep Semi-supervised Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.00550.

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

pith.paper-citation-record.v1
2103.00550 v2

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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:59.288454Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

33
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 31dd256e-4b72-44a6-b6f8-85b35e2ba007 · inbound

ZeroVO: Visual Odometry with Minimal Assumptions cites this paper.

ZeroVO: Visual Odometry with Minimal Assumptions A Survey on Deep Semi-supervised Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:59.288454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:59.288454Z digest=sha256:c9bfb36b3973e0d68508b59be2b8c34cc1a69035adcfea4890eeaa3a24bef7d6

Observation db49320c-6549-481e-8f94-4e2ada2b8824 · inbound

Supercm: Revisiting Clustering for Semi-Supervised Learning cites this paper.

Supercm: Revisiting Clustering for Semi-Supervised Learning A Survey on Deep Semi-supervised Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:35:59.882841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:35:59.882841Z digest=sha256:01b36f920d9044ffa8bfafce906b377e16550a4cd1ba4350b4fe8fdbdb27b0dc

Observation 914cdb37-2948-4421-92fc-3ca92c037b28 · inbound

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning cites this paper.

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning A Survey on Deep Semi-supervised Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:03:20.342297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T13:58:32.913673Z digest=sha256:c06207ae811f02e9154ca436b8441141a697e3613a84721c441e375eaacf699e