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Paper Citation Record · LEDGER

K-Net: Towards Unified Image Segmentation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.14855.

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

pith.paper-citation-record.v1
2106.14855 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:55:15.352672Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:51:17.886967Z

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 20f06caf-9161-4e85-a7fa-09fcac495360 · inbound

Segmentation of arbitrary features in very high resolution remote sensing imagery cites this paper.

Segmentation of arbitrary features in very high resolution remote sensing imagery K-Net: Towards Unified Image Segmentation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T10:55:15.352672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:55:15.352672Z digest=sha256:3f4958a68eee909225c7f3b0ff34dbfc017d151e7eb71e7eedb5e55a00436a50

Observation 9533784d-e876-483c-8148-d2767aa0e7d4 · inbound

Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models cites this paper.

Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models K-Net: Towards Unified Image Segmentation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:17.889437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T04:08:41.452018Z digest=sha256:b59c5bfe0cfa7b0cc79011110abb35bd0c7ff14db1a6457fa379cde67703e52f