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Paper Citation Record · LEDGER

Complete Instances Mining for Weakly Supervised Instance Segmentation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07633.

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

pith.paper-citation-record.v1
2402.07633 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:06.345315Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:09:56.676908Z

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 2c5935ac-1528-4fec-a7f7-26879e080dec · inbound

A Multimodal Deviation Perceiving Framework for Weakly-Supervised Temporal Forgery Localization cites this paper.

A Multimodal Deviation Perceiving Framework for Weakly-Supervised Temporal Forgery Localization Complete Instances Mining for Weakly Supervised Instance Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:11:06.345315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:11:06.345315Z digest=sha256:3066b35ce63c1a920a7d36673ee6e564f06708e23e9804e1980cd70400626323

Observation ed2f687e-a88b-40ee-8daf-e8ec60041a0b · inbound

Registering the 4D Millimeter Wave Radar Point Clouds Via Generalized Method of Moments cites this paper.

Registering the 4D Millimeter Wave Radar Point Clouds Via Generalized Method of Moments Complete Instances Mining for Weakly Supervised Instance Segmentation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:09:56.771837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T05:09:53.209310Z digest=sha256:aa8b116953712ef60f7fb685f7fb0353d990ca6186376a9efd73c8ab3eacd9d2