Paper Citation Record · LEDGER

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds

As of 5 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2512.00995.

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

pith.paper-citation-record.v1
2512.00995 v4

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T02:41:59.819461Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:25:53.237734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:25:56.760093Z

Reference resolution

7 of 7 outbound references displayed

verified exact2
verified fuzzy4
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fe0e787-c9eb-43e5-b582-104de8d4409a · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T02:43:53.907839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dbce314c-e597-4af3-aed5-ecc4b31f1b00 · outbound

This paper cites Partslip: Low-shot part seg- mentation for 3d point clouds via pretrained image-language models.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds Partslip: Low-shot part seg- mentation for 3d point clouds via pretrained image-language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T02:43:53.911049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1cc6e93e-3bff-4c43-b108-617addc2d29d · outbound

This paper cites P3-sam: Native 3d part segmentation.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds P3-sam: Native 3d part segmentation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:43:53.325866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1efbac20-4a0e-4ba9-aee8-d04d1be60ddf · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds Film: Visual reasoning with a general conditioning layer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T02:43:53.904344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8e4a119-3c1b-4c88-9658-d8a55ee7552d · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T02:43:53.901538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ada8bb14-2962-4cd9-9f8a-cca4c4db2fc3 · outbound

This paper cites SAMPart3D: Segment Any Part in 3D Objects.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds SAMPart3D: Segment Any Part in 3D Objects

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:43:53.334233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5cbb8077-7201-487c-b1b9-e42dd971540d · outbound

This paper cites Point-SAM: Promptable 3D Segmentation Model for Point Clouds.

S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds Point-SAM: Promptable 3D Segmentation Model for Point Clouds

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T02:43:53.330236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 6a1f6ee8-53b2-49ab-819c-67f52093f3cd · inbound

Hi-TOPS: Hierarchical Topology-aware Scoring Prior for 3D Part Decomposition cites this paper.

Hi-TOPS: Hierarchical Topology-aware Scoring Prior for 3D Part Decomposition S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T00:25:56.765061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.