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Paper Citation Record · LEDGER

Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.08820.

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

pith.paper-citation-record.v1
2310.08820 v4

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 2026-08-09T17:11:06.815200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:59:11.382054Z

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 eade4979-fc07-455a-9de5-2597ebdb5765 · inbound

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation cites this paper.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T17:11:06.815200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:11:06.815200Z digest=sha256:a87849eeed8893d4d0d5df93ac03f768f75f7eb8e7fcb57d5b8a625ca9cbd968

Observation 13bd2669-7a4c-47db-88c3-93e0559c3fb1 · inbound

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings cites this paper.

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:51:14.833757Z

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=2026-05-12T01:50:06.044957Z digest=sha256:cd1e6491c90b59d988e4197c3af4d52dde72bdd836e238be6dbe2c83ec2d5418

Observation 408c65fd-2e1e-4c0a-a6df-afd16c99bbdb · inbound

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings cites this paper.

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings Learning to Adapt SAM for Segmenting Cross-domain Point Clouds

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:59:11.386217Z

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=2026-05-20T22:59:04.578699Z digest=sha256:bc7aa0e26730bee6d9c36368e7aec640ba1af864fe9a926ba9b6e0fc56e07c83