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Paper Citation Record · LEDGER

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.09347.

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

pith.paper-citation-record.v1
2306.09347 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:21:15.695219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:45:45.326413Z

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 5cdccce3-e9bb-4a17-98d4-4d75906cf8cf · inbound

LeAP: Consistent multi-domain 3D labeling using Foundation Models cites this paper.

LeAP: Consistent multi-domain 3D labeling using Foundation Models Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T00:21:15.695219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:21:15.695219Z digest=sha256:ee8e716c448e95b080779391099497215ca5c84038aacc6969a51873acbce5a5

Observation f1ae7f73-f0f4-4d43-a0f6-52795c1555eb · inbound

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception cites this paper.

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:39.924381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:59:25.546955Z digest=sha256:234f0a31fb9445e79b3407712c30e465c57bd6dce48d464694a4b65e09aba4a6

Observation 024ed1f3-7f68-40db-b075-5040ab56725d · inbound

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception cites this paper.

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:45:45.328020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T22:53:19.163233Z digest=sha256:89cf54816c014cbdd1bb531a9863931ef3cd6f3defab11cbfe891854c258206f