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Paper Citation Record · LEDGER

H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2604.14507.

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

pith.paper-citation-record.v1
2604.14507 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:10:29.401572Z

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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f656cae-6730-42d7-8e89-9ab4311a167d · outbound

This paper cites Hyper- graph structure learning for hypergraph neural networks.

H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection Hyper- graph structure learning for hypergraph neural networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:12:17.791583Z

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=2026-05-10T12:10:29.401572Z digest=sha256:245bbc52ff4e4b7c40b51e7924e107ad1bd0efadf8d4520dec7753103a38238b

Observation 830ccc3f-7337-4819-ace1-b197e1c28a99 · outbound

This paper cites SPot-the-difference self-supervised pre-training for anomaly detection and segmentation.

H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection SPot-the-difference self-supervised pre-training for anomaly detection and segmentation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:12:17.789635Z

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=2026-05-10T12:10:29.401572Z digest=sha256:e4d3388b2a730216cf1a27cfbb108e88a19c26e6c6dea3f31f1e2b0ec71d79b9

Pith citing papers

No inbound Pith citation observations are available.