Paper Citation Record · LEDGER

SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.16768.

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

pith.paper-citation-record.v1
2408.16768 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:51.580798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:57.688570Z

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 e0d22152-43ea-4d7b-a36d-d572447164f7 · inbound

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks cites this paper.

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:51.580798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bebd9bf-a52f-4576-b036-a0a9b92f1954 · inbound

3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects cites this paper.

3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:49.142331Z

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.

Observation 8099f6e3-0e32-40a2-ae47-79ad7b809714 · inbound

3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects cites this paper.

3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T15:54:11.402100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c6523e-8aa7-4155-bc09-4e7a34a53a2f · inbound

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

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:51:14.872722Z

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.

Observation 7a9acb54-da6c-4fad-8b6d-218a7e11e3f7 · inbound

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

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:59:11.486494Z

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.

Observation 55cc2ca7-7697-4b1c-9a6b-d5ad189d8868 · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:18:57.690588Z

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.