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Paper Citation Record · LEDGER

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.13823.

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

pith.paper-citation-record.v1
2412.13823 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:35.050357Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:04:56.540271Z

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 f73ee4b2-33ef-47b8-86ab-614e2c5e805c · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

Reference 1995

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:35.050357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:02:35.050357Z digest=sha256:85f081bde76977d6bb85e5177d4faf81aeef8346084df66f3b64b559f48add50

Observation 88321db2-b6ef-4c29-baf4-6d23ebc6754e · inbound

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models Prompt Categories Cluster for Weakly Supervised Semantic Segmentation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:04:56.593666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:04:54.216439Z digest=sha256:d76e078f2ba56508251602e90ef22c154e6027c00979009f9ab97d6cba27e547