Paper Citation Record · LEDGER

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

As of 12 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2502.02247.

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

pith.paper-citation-record.v1
2502.02247 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:53:56.980353Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy15
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e55d9824-736b-487a-a9c6-f64d9eccb746 · outbound

This paper cites Self-supervised learning for domain adaptation on point clouds.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Self-supervised learning for domain adaptation on point clouds

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.255006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55132c78-284e-414b-ab0c-2656c2d6d94d · outbound

This paper cites Self-distillation for unsupervised 3d domain adaptation.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Self-distillation for unsupervised 3d domain adaptation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.240741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd8e63f1-32b0-40c8-a560-e3dea61a16cd · outbound

This paper cites The devil is in the pose: Ambiguity-free 3d rotation-invariant learning via pose-aware convolution.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning The devil is in the pose: Ambiguity-free 3d rotation-invariant learning via pose-aware convolution

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.225555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d853925e-26d3-4b28-ae04-47c68c9df8b1 · outbound

This paper cites Local-consistent transformation learning for rotation- invariant point cloud analysis.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Local-consistent transformation learning for rotation- invariant point cloud analysis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.210967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a8b47c2-dc0c-4817-a30a-8979919dda88 · outbound

This paper cites an unresolved cited work.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:53:57.196584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7134c68f-ddcf-43e1-bce3-eaf70356e8fd · outbound

This paper cites Metasets: Meta-learning on point sets for generalizable representations.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Metasets: Meta-learning on point sets for generalizable representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.181849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 58bdfc8c-5ad7-41a2-9138-57a862b9a84f · outbound

This paper cites A closer look at rotation-invariant deep point cloud analysis.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning A closer look at rotation-invariant deep point cloud analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.166465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e158c29-99b3-40a6-acac-f60de74e320a · outbound

This paper cites Point cloud domain adaptation via masked local 3d structure prediction.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Point cloud domain adaptation via masked local 3d structure prediction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.150820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 880c674f-7014-41c9-bb31-5296dfc74576 · outbound

This paper cites Equivariant point cloud analysis via learning orientations for message passing.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Equivariant point cloud analysis via learning orientations for message passing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.135586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 474f4d19-08da-49fd-90c8-898f3f0174ba · outbound

This paper cites Pointdan: A multi-scale 3d domain adaption network for point cloud representation.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Pointdan: A multi-scale 3d domain adaption network for point cloud representation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.120292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5229b119-8b12-419d-b3fa-2b4c49fdc8a7 · outbound

This paper cites Svnet: Where so (3) equivariance meets binarization on point cloud representation.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Svnet: Where so (3) equivariance meets binarization on point cloud representation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.103574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6456956-9d0b-45e8-9c9f-265c1ecb9c76 · outbound

This paper cites Progressive classifier and feature extractor adaptation for unsupervised domain adaptation on point clouds.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Progressive classifier and feature extractor adaptation for unsupervised domain adaptation on point clouds

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.085774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43fa1b4a-8856-44a5-aaa7-a69aa7601956 · outbound

This paper cites Learning generalizable part-based feature representation for 3d point clouds.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Learning generalizable part-based feature representation for 3d point clouds

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.070032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43f2be6b-aefc-46cc-810c-7c4dd905ea85 · outbound

This paper cites Prin/sprin: On extracting point-wise rotation invariant features.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Prin/sprin: On extracting point-wise rotation invariant features

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.053671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11a57023-34f8-4e13-bcfb-eaf30b1466b3 · outbound

This paper cites Riconv++: Effective rotation invariant convolutions for 3d point clouds deep learning.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Riconv++: Effective rotation invariant convolutions for 3d point clouds deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.037034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7be2ec45-3ae2-43a6-a49d-65cc9e4394ab · outbound

This paper cites Geometry-aware self- training for unsupervised domain adaptation on object point clouds.

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning Geometry-aware self- training for unsupervised domain adaptation on object point clouds

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:53:57.019487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.