Paper Citation Record · LEDGER

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.11682.

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

pith.paper-citation-record.v1
2211.11682 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:51:52.729516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.279469Z

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 42239014-cb6f-42c0-8ad5-3863ee184ab4 · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 192

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:07:42.874972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5e5b8e9-7862-4804-988f-4f0011921198 · inbound

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model cites this paper.

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:41:04.894834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0891624-beb5-475d-8231-683a90cfdb74 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 200

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:56:42.226113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 359c6cf9-a5b9-4631-8c3e-57762c5f24d3 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 292

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.281019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0793c0f8-afbe-4957-920b-68b4d1ccb501 · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:03:26.766676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67051f14-6b6e-4ebe-be36-f6f4d01e6680 · inbound

Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding cites this paper.

Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:52.729516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3bd86b-09a3-45e3-91a9-96241a610763 · inbound

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

PatchAlign3D: Local Feature Alignment for Dense 3D Shape Understanding PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 62

Resolution: malformed identifier; no resolver link, observed 2026-08-04T06:36:50.808436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039b947f-4689-4545-b273-987d316ea839 · inbound

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views cites this paper.

PASR: Pose-Aware 3D Shape Retrieval from Occluded Single Views PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:11.037339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.