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Paper Citation Record · LEDGER

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.04891.

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

pith.paper-citation-record.v1
2104.04891 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:36:54.609110Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

55
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bf434ba8-fc30-4a28-b153-0c315ea9db69 · inbound

PDM-SSD: Single-Stage Three-Dimensional Object Detector With Point Dilation cites this paper.

PDM-SSD: Single-Stage Three-Dimensional Object Detector With Point Dilation SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T15:36:54.609110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:36:54.609110Z digest=sha256:3672b2ffeb5385dcc3e4fa2fadbdf33dab42b8e517c353428830b591ceea2cad

Observation d2b47d0b-ec4f-4e25-8278-e94d2a67b67b · inbound

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding cites this paper.

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-13T16:19:44.218323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-13T16:14:28.988636Z digest=sha256:4198310297fcb3879e9f87fa198202080b81738725c5f224c1c4abbdc024fd23