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Paper Citation Record · LEDGER

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.08549.

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

pith.paper-citation-record.v1
2207.08549 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:32:46.865534Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:59:25.814952Z

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 48db5922-3f01-4a92-82d9-3e0a47912000 · inbound

Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals cites this paper.

Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:59:25.821934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T15:59:25.702984Z digest=sha256:a2701681a72fecb019fe96138d6657c5c745f58079d30cdb5fec020ae08d595b

Observation 7c1f4e73-da2e-400d-af7a-6bb47a514ce2 · inbound

SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting cites this paper.

SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:46.865534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:46.865534Z digest=sha256:8be83265c044da6d9d9dcd01d0dbd4001a997402d92bf816367962e50b46342a