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Paper Citation Record · LEDGER

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.03944.

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

pith.paper-citation-record.v1
2305.03944 v3

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:48:49.892964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:49:29.302059Z

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 ae78b127-be22-4947-9aec-459bee395f09 · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:33:16.739970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T20:30:16.163179Z digest=sha256:24a03c9552fd576de8c2b4f5e915204f917644b2afcae06d99933123a689dfe4

Observation 843edfa1-81a6-4e46-89d5-6dfb53819e0f · inbound

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection cites this paper.

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:49:29.304515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T21:48:49.892964Z digest=sha256:c04b9f072dfae48b4b4b52f91f10b5abc9ac9181caf10e5cb76e6bd93339a0f5