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Paper Citation Record · LEDGER

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.02318.

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

pith.paper-citation-record.v1
2302.02318 v2

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:11.542458Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:47:49.473940Z

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 b502c9a3-e96b-4375-9c06-1a64601feab4 · 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 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:22:11.542458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:11.542458Z digest=sha256:00fa218829e45de7c7c3150800b7b7babfb3d006f67db810798d306de344a93e

Observation 2475f84b-f42f-4cfd-af8c-81ee4e47d689 · 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 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:41:00.921051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:41:00.921051Z digest=sha256:a304e607d8f93b84a7d99bbc3a576af39a6d7dc8ad7ab2d65fca0bf03b44fc5a

Observation d25abf1d-ed60-48d2-87e9-7eb6f1435a1d · inbound

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

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:22.444263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:26:22.444263Z digest=sha256:b66863d1f059d752f4bd655c2c957840675fe873708bc35caaca84201c39c061

Observation 4300a7fc-494e-41eb-95d4-2000e8daae9e · inbound

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining cites this paper.

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:41.931879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:56:41.931879Z digest=sha256:edf87b88e178bc97b6147df5b57069e468b6358ec94c803e7b81b9c9619a9f19

Observation 3f4149c6-e49a-4317-bdeb-a3942f517e48 · 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 Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:47:49.477455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T12:47:49.237481Z digest=sha256:79416339967b63e0fb39a1fb8a8c8a3d5797a5558c9c6814aaf06359db3b9b48