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Paper Citation Record · LEDGER

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.14613.

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

pith.paper-citation-record.v1
2110.14613 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:58:27.060900Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:47:46.706847Z

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 cb169816-9860-4651-83b7-8260a26949bc · inbound

Deep evolving semi-supervised anomaly detection cites this paper.

Deep evolving semi-supervised anomaly detection International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T04:58:27.060900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:58:27.060900Z digest=sha256:bc5f038026e5eaaca2102cd7f4ab2522980818015837845ddff13c39d39028fc

Observation 6d84837c-f170-4305-88f4-8e67ef2f80d9 · inbound

Anomaly detection using Diffusion-based methods cites this paper.

Anomaly detection using Diffusion-based methods International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:47:46.710417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T18:47:46.510153Z digest=sha256:6de8b2f999fe50b8f4a2de4d3453f9fe631890cbc035c4ed86f675fdca0ca7ad