Paper Citation Record · LEDGER

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2212.08320.

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

pith.paper-citation-record.v1
2212.08320 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.152288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:28:13.968090Z

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 a5ce1970-c754-45e2-82b0-9f3b6d8701f0 · inbound

Point Cloud Understanding via Attention-Driven Contrastive Learning cites this paper.

Point Cloud Understanding via Attention-Driven Contrastive Learning Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:02:29.327151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00758f4a-a404-424e-b672-1cd05492d802 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 145

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:48.152288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57554028-4f40-4647-a38a-656e198f9bb5 · inbound

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model cites this paper.

GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:40:48.710891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75a276ea-305f-434d-bb40-67d08cba74c7 · inbound

Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding cites this paper.

Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:04.494724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813ae369-a2a8-4b6b-b832-706d0cad5a72 · inbound

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting cites this paper.

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:58.997365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff89e71-7df1-44ca-92f7-f9e061cac7d9 · inbound

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning cites this paper.

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:26:20.192816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f6710f-a21b-4663-a357-f1258a12d54e · inbound

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis cites this paper.

UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:17.432236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06dab86b-9b15-4d2a-ae4f-2046674df926 · inbound

Ultra Ethernet's Design Principles and Architectural Innovations cites this paper.

Ultra Ethernet's Design Principles and Architectural Innovations Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:34:14.464355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5602c2-f5ed-4eb0-a700-b6332f490aeb · inbound

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views cites this paper.

Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:47:49.134477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a932d2-aa13-4538-84ae-8f70788c3b8b · inbound

Deformation-based In-Context Learning for Point Cloud Understanding cites this paper.

Deformation-based In-Context Learning for Point Cloud Understanding Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:58:12.017795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26cf73f1-401b-4332-9900-3a195192e437 · inbound

Bridging the Dimensionality Gap: A Taxonomy and Survey of 2D Vision Model Adaptation for 3D Analysis cites this paper.

Bridging the Dimensionality Gap: A Taxonomy and Survey of 2D Vision Model Adaptation for 3D Analysis Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:13.969779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.