Paper Citation Record · LEDGER

SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.17707.

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

pith.paper-citation-record.v1
2311.17707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:54:24.873257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:21.378447Z

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 cd847e70-670e-47e1-b7c7-40c3de8ba2c0 · inbound

Foundational Models for 3D Point Clouds: A Survey and Outlook cites this paper.

Foundational Models for 3D Point Clouds: A Survey and Outlook SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-09T22:54:24.873257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7397b869-ce68-4b24-bc86-38f30f5262df · inbound

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting cites this paper.

AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian Splatting SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T20:48:50.914157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1465d24-4171-442b-b92f-ff475a070587 · inbound

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding cites this paper.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:25.946778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52db02e-efd7-42c7-84d8-456430469860 · inbound

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation cites this paper.

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T18:49:01.658971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a67d863-4fe4-436f-b372-e99ea2ebc6b7 · inbound

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding cites this paper.

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:28:58.145180Z

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.

Observation bf759e62-0cb4-447d-b9a9-1658468a7b4a · inbound

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

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:51:14.862700Z

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.

Observation d6840d1a-881f-4848-817a-576d4ab42942 · inbound

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

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:59:11.449968Z

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.

Observation 69f4b66e-d5ec-4e6c-bd0d-be328158273f · inbound

ESAM++: Efficient Online 3D Perception on the Edge cites this paper.

ESAM++: Efficient Online 3D Perception on the Edge SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:15.924585Z

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.

Observation 81330f02-5da0-4ca4-9aec-632e405597d5 · inbound

SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring cites this paper.

SAD-GS: Learning Reliable 3D Semantic Gaussian Fields via Dynamic Geo-Semantic Anchoring SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:14:21.380493Z

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.

Observation b351c82c-bba0-4306-945a-49ff129bf25d · inbound

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging cites this paper.

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:07:29.577628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.