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Paper Citation Record · LEDGER

PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.03015.

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

pith.paper-citation-record.v1
2312.03015 v1

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 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:42:03.399686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:05:40.439166Z

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 fccb68d9-668b-4c44-95c8-637875078793 · inbound

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling cites this paper.

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T11:42:03.399686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:42:03.399686Z digest=sha256:4f2a5a643a0400137af1f1da7e217e89b4dc719feb9c135a69bfe2e56221bb50

Observation 691352d1-c632-4cef-8c1a-a8e3adc332f2 · inbound

DexVLG: Dexterous Vision-Language-Grasp Model at Scale cites this paper.

DexVLG: Dexterous Vision-Language-Grasp Model at Scale PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:32.980977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:29:32.980977Z digest=sha256:2b72dacc9f5288f868acd79a6d2a85858d4855badf80982acba43065b5f29244

Observation 5a010451-e3d8-444c-90bc-160beb3f0b07 · inbound

OpenHuman4D: Open-Vocabulary 4D Human Parsing cites this paper.

OpenHuman4D: Open-Vocabulary 4D Human Parsing PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T17:50:57.346539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:50:57.346539Z digest=sha256:1656123adc03a4b3711b6ee4c9beb85ca9bbff6c2bedcb303ceacfcb831c7b0a

Observation 0a6595f1-25ef-4aa9-a26d-7f564b2cf926 · inbound

AutoPartGen: Autogressive 3D Part Generation and Discovery cites this paper.

AutoPartGen: Autogressive 3D Part Generation and Discovery PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T16:30:10.062235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:30:10.062235Z digest=sha256:1b3ab713f91ac330563fe10e4459318feb91a0236bce4e619955e416b3f04313

Observation 696c447c-5445-4347-b7cc-fcc08f17ccb4 · inbound

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

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T18:49:02.571294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:49:02.571294Z digest=sha256:75e152959e1e26455b7b63b840dcd18a59ed039f6c01fe05e8660624ecdd3fc9

Observation 54e4f822-4010-4180-9737-409ef67ca500 · inbound

PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding cites this paper.

PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T06:36:50.556591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:36:50.556591Z digest=sha256:764bf2e62c3d0399b747f1f63d3160a8a4c34eff0170c8ad0396285e07f1a0b9

Observation c2d06a2b-8d43-4e42-b0be-844ff6faabc3 · inbound

Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation cites this paper.

Part-Level 3D Gaussian Vehicle Generation with Joint and Hinge Axis Estimation PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:51.746409Z

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.

source=pdf_text observed=2026-05-10T19:52:50.074000Z digest=sha256:aab6a33ea08baf3df991d8f23fd1ec9d7d3f8c0cc0a4206e9d506510afdad262

Observation d751694a-2132-4cad-976f-d76e6213dba9 · inbound

OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments cites this paper.

OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:24:18.851863Z

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.

source=pdf_text observed=2026-06-30T06:22:57.795125Z digest=sha256:56526235670553f6f929d3b61e3eaf95d6a5e853a30578bc78f21f8e3f38a99a

Observation 0339bd8d-8e35-4135-bba8-694a3cbe2faa · inbound

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes cites this paper.

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:40.440520Z

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.

source=pdf_text observed=2026-07-01T05:56:47.849311Z digest=sha256:65a418b85a37f22907dc594ce89a8a51967e4e3930dfbc0c692f61dbbabde271

Observation 539877b6-e70a-4fa2-9d01-b65d03b06482 · inbound

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes cites this paper.

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T09:23:10.538985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:23:10.538985Z digest=sha256:a1c52272a665b796ce643b4eaab1536cd89645cc6a0310212c7a786be1da083c