Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.06785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:13.702596Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T23:07:42.838562Z
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 2803aabb-95af-4a63-a2d0-a5601300ee6e · 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 Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Reference 190
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T23:07:42.841762Z
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 e27b9a77-4e79-48e2-bd2f-1a1936a009dd · inbound
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning cites this paper.
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:22:13.702596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.