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Paper Citation Record · LEDGER

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.02548.

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

pith.paper-citation-record.v1
2406.02548 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:22.010410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T05:54:18.327771Z

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 d862c8fb-0622-4778-bee2-d0b2969728d3 · 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 Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:22.010410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:22.010410Z digest=sha256:6611620d1f52fc810b5f4f74cdbe3fc72b56a74dcb3d0a82213732922b8de9cd

Observation bfa2bc6d-5eea-428b-92f1-bc1437adba60 · inbound

Details Matter for Indoor Open-vocabulary 3D Instance Segmentation cites this paper.

Details Matter for Indoor Open-vocabulary 3D Instance Segmentation Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:07:05.479192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:05.479192Z digest=sha256:e8d5c78c22031745219d644b3924ca2b2d5ef52cee3efe0fe8e67804d0ba0d24

Observation f1e6e83b-4627-4bd8-a37c-cc84ebd118ab · inbound

OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation cites this paper.

OpenTrack3D: Towards Accurate and Generalizable Open-Vocabulary 3D Instance Segmentation Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:01:28.538612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T03:00:52.608833Z digest=sha256:1f5af027d266504b3433e2a01f5f144a8e193dc342033d47d1a250b034b4ee0b

Observation 1ec03db4-9064-475f-8e6a-4149a6e05295 · inbound

3AM: 3egment Anything with Geometric Consistency in Videos cites this paper.

3AM: 3egment Anything with Geometric Consistency in Videos Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T14:21:01.667773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T14:19:34.641108Z digest=sha256:0122a9240d9e505cbce40ec8935e6963c5bd7cf3764f161702dd590024c57244

Observation a2f4230b-1418-4f34-9f4a-9fcdf0a0044d · inbound

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors cites this paper.

Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T05:54:18.329441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T05:53:26.394245Z digest=sha256:a84a2c34846d7bba00fd4c72a4f63d5d5d9e0d130e3f92f4b7063e06c6a15643