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Paper Citation Record · LEDGER

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification

As of 8 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2508.20835.

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

pith.paper-citation-record.v1
2508.20835 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:50:57.311424Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

85 of 85 outbound references displayed

  • verified exact2
  • verified fuzzy70
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa561ba6-2f70-4e92-8193-51562388809c · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Self- supervised learning for domain adaptation on point clouds

Reference 1

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Observation fe76226f-72fa-485c-a66b-092e9ce85843 · outbound

This paper cites 3dmfv: Three-dimensional point cloud classification in real-time using convolutional neural networks.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification 3dmfv: Three-dimensional point cloud classification in real-time using convolutional neural networks

Reference 2

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Observation 65a0dfb7-28ec-409d-b06b-1fa3fd3d4694 · outbound

This paper cites A survey of augmented reality.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification A survey of augmented reality

Reference 3

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Observation c426dfc2-fc46-4241-83a7-bb9e742a1771 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification nuscenes: A multi- modal dataset for autonomous driving

Reference 4

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Observation ddb8453c-5c1b-441b-9cd0-411d6f156fa6 · outbound

This paper cites Zig-rir: Zigzag rwkv-in-rwkv for efficient medical image segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Zig-rir: Zigzag rwkv-in-rwkv for efficient medical image segmentation

Reference 5

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Observation 41956acc-9a03-4b8b-89a5-40875daacd4c · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f1fd2f40-a34c-409e-b596-db6f93906a37 · outbound

This paper cites Stylerwkv: High-quality and high-efficiency style transfer with rwkv- like architecture.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Stylerwkv: High-quality and high-efficiency style transfer with rwkv- like architecture

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3c5ded17-f7ff-4f04-9bee-096bad8a6fe4 · outbound

This paper cites VG4D: Vision-Language Model Goes 4D Video Recognition.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification VG4D: Vision-Language Model Goes 4D Video Recognition

Reference 8

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local_arxiv, observed 2026-08-05T14:50:57.533478Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4600397e-4d4d-4888-b607-bae85782ce75 · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 9

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source=pdf_text observed=2026-08-05T14:50:56.908877Z digest=sha256:22720e14fe776789906d6b797b2e9eeb4ddd5a74f9fbf54a65eb506d21ccfbc3

Observation 0397c1ec-626b-41e8-966c-2a3e603e9c97 · outbound

This paper cites Self-supervised global- local structure modeling for point cloud domain adapta- tion with reliable voted pseudo labels.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Self-supervised global- local structure modeling for point cloud domain adapta- tion with reliable voted pseudo labels

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c78e84bd-0a70-402a-9ad4-039600e2922b · outbound

This paper cites Explore in-context learning for 3d point cloud understanding.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Explore in-context learning for 3d point cloud understanding

Reference 11

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:56.919663Z digest=sha256:8d54d7871763f25859a0e3af9ffa4bbf8ca25d867f94510a56330a87a843132f

Observation a346a484-bc2a-435c-88e4-fde1194a61d5 · outbound

This paper cites Dmt: Dynamic mutual training for semi-supervised learning.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dmt: Dynamic mutual training for semi-supervised learning

Reference 12

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Observation bf41c80c-44a9-4c8a-b05c-3ac29cf82647 · outbound

This paper cites 3d-future: 3d fur- niture shape with texture.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification 3d-future: 3d fur- niture shape with texture

Reference 13

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Observation 5278dc59-31e6-4bd2-9947-a73a292c95d9 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Unsupervised domain adaptation by backpropagation

Reference 14

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Observation f34686b3-8b2e-4a2a-b482-5f930f96ed99 · outbound

This paper cites Pit: Position-invariant transform for cross-fov domain adaptation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pit: Position-invariant transform for cross-fov domain adaptation

Reference 15

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source=pdf_text observed=2026-08-05T14:50:56.939433Z digest=sha256:34c1e855ff487b545ce7f5f341679ae305569b735c944077f5fdf667258007ef

Observation 1f4d6c2a-6ef3-4ced-b565-765dcd8716e9 · outbound

This paper cites Pct: Point cloud transformer.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pct: Point cloud transformer

Reference 16

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cef8eeff-412b-4d44-a798-e48f92b48904 · outbound

This paper cites Label-free re- gional consistency for image-to-image translation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Label-free re- gional consistency for image-to-image translation

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3bf2cae7-dfe4-4f13-acb8-82f20e973124 · outbound

This paper cites Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark

Reference 18

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Observation a364a315-cb6c-4814-9b53-01509e608000 · outbound

This paper cites A survey on vision transformer.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification A survey on vision transformer

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3f049c75-8ec4-49f6-b02e-59cb7099b110 · outbound

This paper cites Pointrwkv: Efficient rwkv-like model for hierarchical point cloud learn- ing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointrwkv: Efficient rwkv-like model for hierarchical point cloud learn- ing

Reference 20

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source=pdf_text observed=2026-08-05T14:50:56.965114Z digest=sha256:9e0741fedb6799974635fbddec53a31f6b95029c30d2aa781e7b3f53efa449c9

Observation 7eef58ad-9919-4711-8857-253ab1d0206b · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Metasets: Meta-learning on point sets for generalizable representations

Reference 21

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Observation a43523b6-7bf7-42f5-b6ef-6b44fa9c4d7e · outbound

This paper cites Gen- eration for unsupervised domain adaptation: A gan-based approach for object classification with 3d point cloud data.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Gen- eration for unsupervised domain adaptation: A gan-based approach for object classification with 3d point cloud data

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2a57587-79f5-43b7-82b7-fe9057369825 · outbound

This paper cites Sug: Single-dataset unified generalization for 3d point cloud classification.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Sug: Single-dataset unified generalization for 3d point cloud classification

Reference 23

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Observation 9d2b165c-8417-4514-a645-3e87ae81cec9 · outbound

This paper cites Dg- pic: Domain generalized point-in-context learning for point cloud understanding.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dg- pic: Domain generalized point-in-context learning for point cloud understanding

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:56.988284Z digest=sha256:e84aa3621400aa0274316bdd64ac83ac2926a35fb0c5ec5a828c599f7e02a8a6

Observation a70a72b6-f20d-4a4d-8565-0342bac50a2d · outbound

This paper cites Pcotta: Continual test-time adaptation for multi-task point cloud understanding.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pcotta: Continual test-time adaptation for multi-task point cloud understanding

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12ffdc3c-6f5f-4a4d-9e09-9cd8e21fba46 · outbound

This paper cites Synergiz- ing contrastive learning and optimal transport for 3d point cloud domain adaptation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Synergiz- ing contrastive learning and optimal transport for 3d point cloud domain adaptation

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a6a901fa-cbac-4439-97b5-a1c6b6f61ec8 · outbound

This paper cites Single domain generalization for lidar seman- tic segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Single domain generalization for lidar seman- tic segmentation

Reference 27

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.004895Z digest=sha256:fd8316d5f53ff00a9fed0b7509a1884989eba9a36838a8806c4861b1aa539fa4

Observation bd822b3a-3cd0-4cb8-ad01-1e8abeacb397 · outbound

This paper cites 3d- vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification 3d- vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 16edb499-9597-4a4e-b4ac-09a59545e189 · outbound

This paper cites Pointaugment: an auto-augmentation framework for point cloud classification.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointaugment: an auto-augmentation framework for point cloud classification

Reference 29

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.015130Z digest=sha256:cd6aaf6547ede1ae2ab6533fbb943d11bb3e9a1826fbca6bf29161fd96bac3d9

Observation 1dadc951-3eb4-4780-af77-53d96911618f · outbound

This paper cites Pointcnn: Convolution on x-transformed points.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointcnn: Convolution on x-transformed points

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.020040Z digest=sha256:fe0eb14ee9d90c0b29963e48859b696f4f0286c75fdf8e47de1628c6a6983d99

Observation e4f5e6ff-5031-4dbf-945c-4556c1061254 · outbound

This paper cites PointMamba: A Simple State Space Model for Point Cloud Analysis.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification PointMamba: A Simple State Space Model for Point Cloud Analysis

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.026220Z digest=sha256:3f4fa54a6280e0e61c0312ba3fa325f04e2613c81fa51e53a480205c25f7fab6

Observation 202aa5ca-3ed4-4a16-beee-dee889af3a26 · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Point cloud domain adaptation via masked local 3d structure prediction

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.033279Z digest=sha256:6618f0dd38f08c3db9eb6c920ee6100835e7659e2e17ee05a339142b26b5f0ab

Observation 0b1c2c4f-8da0-4f92-830a-db6a89400f4b · outbound

This paper cites Cloudmix: Dual mixup consistency for unpaired point cloud completion.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Cloudmix: Dual mixup consistency for unpaired point cloud completion

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.039050Z digest=sha256:a46dafadc694c66f6a81737bcead8b71031163eec9c226efdf1d04f220983c48

Observation 75a57d04-4a64-4679-ac8d-14d9a570d739 · outbound

This paper cites Dgmamba: Domain generalization via generalized state space model.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dgmamba: Domain generalization via generalized state space model

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.420676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.044296Z digest=sha256:41a1ed141b28acfa753b296b950cd88b4a682de9349610f741c1b69d1e2b06a8

Observation 322951ec-4c37-4cdc-a276-4aa818626e96 · outbound

This paper cites Rethinking domain generalization: Dis- criminability and generalizability.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Rethinking domain generalization: Dis- criminability and generalizability

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.403771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.049968Z digest=sha256:83020f72ce7430e544ee2cf50d46d7f5da1534d19c87f41688578cc67805e82a

Observation 737604f5-c278-4d32-a3c3-3c824ebfa595 · outbound

This paper cites Domain Generalization via Discrete Codebook Learning.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Domain Generalization via Discrete Codebook Learning

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:50:57.452871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.055355Z digest=sha256:e90d91d01fb7d8e8819c1376fac78849a070b7b5f4d5a74a818294f2010d9443

Observation 6a1c7f97-bb4d-4cff-b330-3f8219bc841d · outbound

This paper cites Diverse target and contribution scheduling for domain generalization.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Diverse target and contribution scheduling for domain generalization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.377732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.060664Z digest=sha256:0b4067ea231477b01fb5a72ff4e2418d97b3f431a1cc37483a0344db46b36e84

Observation 25a7dee0-4685-4a37-8e5f-b90ba3398552 · outbound

This paper cites Decoupled Weight Decay Regularization.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Decoupled Weight Decay Regularization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:57.066147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.066147Z digest=sha256:9d063842cec7c6d162bc8cec888612ab2b35628f4184f3c1c4bc3ecb090e19db

Observation ccfd3810-9974-4d82-833f-9206fbb11031 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification RWKV: Reinventing RNNs for the Transformer Era

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:57.071354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.071354Z digest=sha256:0b04cd52785a3d83e2b5e96619bf3afb345b20f7d53b0978dc734eb73733cc2f

Observation 5a892f3b-3556-4c88-8126-3de060a02274 · outbound

This paper cites Dgcnn: A convolutional neural network over large-scale labeled graphs.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dgcnn: A convolutional neural network over large-scale labeled graphs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.359116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.077718Z digest=sha256:1ade2a16d3b7bbf480e8959b5edccd73bb6655db1e14a056c9d64175c2fb2ed6

Observation 503b3c92-ba24-4fd0-80b6-3abb1d5f8e94 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.330705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.083376Z digest=sha256:36bdfe6aa4aad8a83760960781124e8de6aae9821192ccf8b42393747f5c8bb7

Observation 9f40ddfe-5234-45e1-aec6-e0cab708dda0 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.305636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.091002Z digest=sha256:82a159e86ab0b0aea4391aa18ebe5110a917f79fd6c4bb24cd162139def9eaa0

Observation d71b84df-9ef7-4e47-81ba-2c5589b6ab65 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.289081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.095821Z digest=sha256:7ad1080984808acc3bf26c2f3c89736c60162bbfd3f6bc912a70ec860ba6169f

Observation bac00d8c-6440-4878-bfce-b149bc4f783f · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointdan: A multi-scale 3d domain adaption net- work for point cloud representation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.271547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.100984Z digest=sha256:6c93a021720a227a06b93862f549f3d63749093f94a9b1a8ac188b996bc35778

Observation 5cba958a-d990-4b70-a0ac-66e003ec79eb · outbound

This paper cites Dense-resolution network for point cloud classification and segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dense-resolution network for point cloud classification and segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.255573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.105743Z digest=sha256:84d24f8e92177c51791f998590b4b7472acbff62a166ee872fc8cb256fdc4e35

Observation 72bcc371-2b8b-4ec7-a8ba-e0178397ee20 · outbound

This paper cites Geometric back- projection network for point cloud classification.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Geometric back- projection network for point cloud classification

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.238073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.110388Z digest=sha256:d58a22aaa1eb84f234fd176992d11b1310be7456dfc005df053a680525a81350

Observation f8943fd2-264b-423a-8bbd-dd821ce5a6e6 · outbound

This paper cites Benchmarking and analyzing point cloud classification under corruptions.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Benchmarking and analyzing point cloud classification under corruptions

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.221171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.114923Z digest=sha256:8438d3b01d67ac5fef80af218c7a7f47ea70f61be8beb60c19b5dcdf925a2580

Observation 881bf201-0954-4ff6-97e9-bd9842d1503b · outbound

This paper cites Domain adaptation on point clouds via geometry-aware implicits.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Domain adaptation on point clouds via geometry-aware implicits

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.202399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.120320Z digest=sha256:a273790f44c44af05de5a62d2dbb45f6cf4b41d6ccaf3053d83efa8b6d9d4005

Observation 5922df99-3fd1-4107-a412-c584c7b7ab1f · outbound

This paper cites Ba-sam: Scalable bias-mode at- tention mask for segment anything model.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Ba-sam: Scalable bias-mode at- tention mask for segment anything model

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.183886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.125326Z digest=sha256:ae2e5a9f4de7e65747267bfb52d60648924076ba06e0844e38d974934414289b

Observation a8499494-7c3b-47bc-a1fc-45d876cc22d3 · outbound

This paper cites SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:57.130032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.130032Z digest=sha256:3206c37043f9e8bf45bdfabe2444540559c75657c30af71471b10c3db3a1df7f

Observation 090d6269-4b7a-4e54-83ab-a45ef4c29624 · outbound

This paper cites X-3d: Explicit 3d structure modeling for point cloud recog- nition.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification X-3d: Explicit 3d structure modeling for point cloud recog- nition

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.157435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.134769Z digest=sha256:b8b266955bdd5f9971fbcce26a4818bc11d38493484a81e51e7aaa0229e27cac

Observation 8846d3ec-fc0b-4f00-81d3-04c1e2ff2c1f · outbound

This paper cites Soft robot perception using em- bedded soft sensors and recurrent neural networks.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Soft robot perception using em- bedded soft sensors and recurrent neural networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.137608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.139731Z digest=sha256:85c0472d7029443d26c15969c548915b2f6d0e81867159726d5bdd54faa1050a

Observation d367eab8-c024-45e7-912a-a4fb1d77532d · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.114070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.145440Z digest=sha256:1fb2df49e31663c9e3cb0db18f02f383830d9fe3432bd3d230045ac6f447f32e

Observation 2eb45feb-3a38-4449-aba9-7d742021879c · outbound

This paper cites Cross-dataset point cloud recognition using deep-shallow domain adaptation net- work.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Cross-dataset point cloud recognition using deep-shallow domain adaptation net- work

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.097216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.150064Z digest=sha256:5450b5747d1ce85a2112fe29ba394bf6807431193474b87d0d3b46984c224970

Observation d306bf0b-a4f2-4c47-ad07-92c0ff0cc16f · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Generalizing to unseen domains: A survey on domain generalization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.078718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.154717Z digest=sha256:35b2a7cf5cbbc93329de27104857798a580e27a51468b0943b04c4fa49a89a5f

Observation fb73096e-510f-4fc4-b888-cfb975920712 · outbound

This paper cites Deep visual domain adapta- tion: A survey.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Deep visual domain adapta- tion: A survey

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.055870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.159614Z digest=sha256:7dc1b8bc4bf1065b78f65d711c2655497653fa356105de4e7f47338dddb8c305

Observation 1d9049f2-dcb5-47a5-b9eb-b71026d6a835 · outbound

This paper cites Unsupervised domain adap- tation for cross-scene multispectral point cloud classifica- tion.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Unsupervised domain adap- tation for cross-scene multispectral point cloud classifica- tion

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.035992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.164568Z digest=sha256:711d13c80d1a4089eeedcecfaf4e6f4dbf4ba1a5e7e7e20c2bf821bdb812f46d

Observation 46297828-99f4-40f0-98e8-0a71e35f23e6 · outbound

This paper cites Tf-fas: Twofold-element fine-grained semantic guidance for gen- eralizable face anti-spoofing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Tf-fas: Twofold-element fine-grained semantic guidance for gen- eralizable face anti-spoofing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:58.010703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.169662Z digest=sha256:2ed523d06edeef837799330c25bd2fc541333f0ff3075cfb981b03f9018d00a2

Observation df98639a-7935-4047-b411-eeff51947205 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Dynamic graph cnn for learning on point clouds

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.991773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.175752Z digest=sha256:2c356f01e2c39c75fc03ebe1c5249f83cabbfdb60f9a23792691e8593c80e5ab

Observation 966a9458-4c82-413f-abb3-6a0b9a7ca01d · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Learning generaliz- able part-based feature representation for 3d point clouds

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.974703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.181844Z digest=sha256:8a747b1666252e4eba19620ba0be390817269cc56ba5a549b414f228143ba6f5

Observation 54ad3554-4ce2-4f6a-a289-b5ec4b61c659 · outbound

This paper cites Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmenta- tion from a lidar point cloud.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmenta- tion from a lidar point cloud

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.959119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.188178Z digest=sha256:3ed00952fe768a14058ee39222819a2ac28976e7bb10a1c806a692959d1af622

Observation cd7bb25f-ff30-49d7-bdde-fa6a627f8311 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification 3d shapenets: A deep representation for volumetric shapes

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.943498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.194455Z digest=sha256:7ea4d685b2a4fb2990148de704ac326ecd10107add6968c4bec75f1a8c91682c

Observation 06b066a2-3153-42d2-8d0c-ee8bac7a5aee · outbound

This paper cites 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.926194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.200207Z digest=sha256:774220e52e1f355d10e8a24a772f128cb49a5c09f27d56d252b40aa17393894b

Observation 8cf86f1e-56fd-4c39-add6-7bfdad6f1e5c · outbound

This paper cites Learning cross- domain features for domain generalization on point clouds.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Learning cross- domain features for domain generalization on point clouds

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.909289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.205607Z digest=sha256:ccd92f1afc2566abfbbc38cb57a941061495927e39fa6c7b7ea8a6beea1def3f

Observation 3246f09f-36e8-4f49-a21e-0aabd67f694b · outbound

This paper cites Semi-supervised 3d object detection via adaptive pseudo-labeling.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Semi-supervised 3d object detection via adaptive pseudo-labeling

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.890776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.210515Z digest=sha256:4638e01da73f09868a443676f406cf02f005fec4307861543a7074c437d1face

Observation 1f1e0f52-70fb-422f-8552-573e4054ba7e · outbound

This paper cites Push-and-pull: A general training framework with differen- tial augmentor for domain generalized point cloud classifica- tion.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Push-and-pull: A general training framework with differen- tial augmentor for domain generalized point cloud classifica- tion

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.872021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.215482Z digest=sha256:96c3792e2430c18f0b1069b27cf722813226a6eb9a16a8c1f4e499a9ce2a5031

Observation ef0cba25-efb0-4c39-918c-55804f5796e6 · outbound

This paper cites Geometry sharing network for 3d point cloud classification and segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Geometry sharing network for 3d point cloud classification and segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.852632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.220131Z digest=sha256:dda9399ed0e4f311c1984e9f6cd86c342d7d571d8a66893d9449c595722d7a58

Observation b426bd5c-9884-4a38-8c7a-35d94cdfeddb · outbound

This paper cites Point- dgmamba: Domain generalization of point cloud classifica- tion via generalized state space model.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Point- dgmamba: Domain generalization of point cloud classifica- tion via generalized state space model

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.834988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.225707Z digest=sha256:6e80e469dea357594d3e30abb5b0dc8721876cf13a6fc3511e5f998adf13026a

Observation 48fb6eec-ec3c-4ef8-8d78-3f3b493c9171 · outbound

This paper cites Video RWKV:Video Action Recognition Based RWKV.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Video RWKV:Video Action Recognition Based RWKV

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:57.230428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.230428Z digest=sha256:d14a550f782d821f26bc9d446736825e4b90a76a828e9f977dc2fcb883e78db3

Observation 49db27d6-54f1-4734-a138-8bb43cf01c8d · outbound

This paper cites Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T14:50:57.235061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:57.235061Z digest=sha256:5312ed0b78882eca7360b79efe7f1ff0fcb06554d2facb8d3e1689f12a574824

Observation 006e5b66-11bc-437a-8f33-e66b1a2bf795 · outbound

This paper cites Deep learning-based 3d point cloud classification: A systematic survey and out- look.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Deep learning-based 3d point cloud classification: A systematic survey and out- look

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.814336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.239782Z digest=sha256:6424452cb9921aa4bf9e0e63c9a54ce1605611fc7edf3aa9b69bcfd5d4524b35

Observation e7c5e79b-0e21-4f43-b777-f2749405e52b · outbound

This paper cites Pointhop: An explainable machine learning method for point cloud classification.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Pointhop: An explainable machine learning method for point cloud classification

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.792416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.244843Z digest=sha256:0688bbe481b2333eecb722bc19b8e05a7ab1748735538cca1c3e709403fa8673

Observation 7f7a9c0e-09f5-4c34-89d7-9c44fe3e0f43 · outbound

This paper cites Point cloud mamba: Point cloud learning via state space model.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Point cloud mamba: Point cloud learning via state space model

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.774215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.250087Z digest=sha256:afc6919de99b8eee4e6d1072099498e98bce7c1f39c4f56fda7937f55832461c

Observation a0b7bdff-facd-4d66-a777-7c9de1218a3a · outbound

This paper cites A graph-cnn for 3d point cloud classification.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification A graph-cnn for 3d point cloud classification

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.755365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.254863Z digest=sha256:867bbe79aba98e98e7250f45316641e83dc68c5f230509f9c72af84d4fd6b0cc

Observation c4eef664-bf9c-49c4-bbf4-a753a1f46b8b · outbound

This paper cites Point transformer.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Point transformer

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.737249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.259969Z digest=sha256:becdaaf70269fc7fa5e68868e99862bafcf1a3687a538e62079cbd29fa019adf

Observation ec559536-5da7-4f5d-b273-bd8e3812510e · outbound

This paper cites Domain generalization: A survey.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Domain generalization: A survey

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.719484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.265775Z digest=sha256:75eae6cae6cbd9f36d47436f2d3cefad2d51fa1eec8251d108c665f32f23008b

Observation 57581f69-9204-463e-9170-d6681f0273f5 · outbound

This paper cites Uncertainty-aware consistency regularization for cross- domain semantic segmentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Uncertainty-aware consistency regularization for cross- domain semantic segmentation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.701325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.270552Z digest=sha256:bee02048902a119ae6273d931a18f6fd87441a66edeb3125ec7e3ce6b7e7b6a0

Observation dc7e9417-1015-464a-bef1-f4541dfad759 · outbound

This paper cites Adaptive mixture of ex- perts learning for generalizable face anti-spoofing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Adaptive mixture of ex- perts learning for generalizable face anti-spoofing

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.684210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.275700Z digest=sha256:f7a1f5ed5c71ab20e13a95bd64ec7a6a976ae201bee834bca559ac7a2839a245

Observation 3e17088d-33af-4928-af7e-2c4cdec34069 · outbound

This paper cites Generative do- main adaptation for face anti-spoofing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Generative do- main adaptation for face anti-spoofing

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.666257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.281372Z digest=sha256:bad6f159a0b182a4274463d046726083386764f235f8defe6e57c3fffa811cdb

Observation f8794772-c45c-4af6-829f-84ba8106890b · outbound

This paper cites Domain adaptive semantic segmentation via regional contrastive consistency regularization.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Domain adaptive semantic segmentation via regional contrastive consistency regularization

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.650184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.286403Z digest=sha256:d599fc023cbba16b6ae1528cd8d31e6175be18e342178bd7f56fde1c1ed07a66

Observation b6002006-1609-43ae-9f43-8c49c5d54856 · outbound

This paper cites Context-aware mixup for domain adaptive semantic seg- mentation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Context-aware mixup for domain adaptive semantic seg- mentation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.631903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.291202Z digest=sha256:2f3a8a67c05e75df44c47e29f670f1c6a3fae40aea7ee1ea833a3e3cfeaee203

Observation 146f8754-394d-49df-aa8d-bbf19ef46c8d · outbound

This paper cites Self-adversarial disentangling for specific do- main adaptation.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Self-adversarial disentangling for specific do- main adaptation

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.613841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.295953Z digest=sha256:d07a6866f0a419fdf99c2ff6d7a5fecf91e0bc934c1d5ee88fc7f8601330c067

Observation 1b31550d-0149-473d-bceb-21321ac90c93 · outbound

This paper cites Instance-aware do- main generalization for face anti-spoofing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Instance-aware do- main generalization for face anti-spoofing

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.594866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.300929Z digest=sha256:2457b73150f93c2d8ea76805a2ec7dede95d8409fd746c5d1067d8cd582afca4

Observation d194cbaf-9590-44c8-a124-20b155c6ef13 · outbound

This paper cites Test-time domain gen- eralization for face anti-spoofing.

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Test-time domain gen- eralization for face anti-spoofing

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.574998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.306340Z digest=sha256:017a4b953e833d36d23f40f29c9acdd10775c00c27c917d485deae63beeab520

Observation 171f914d-8a79-4204-83c9-ce0c2be859ae · outbound

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

PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification Geometry- aware self-training for unsupervised domain adaptation on object point clouds

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:50:57.553219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.311424Z digest=sha256:b01616311637011b9714e1bd303cc47131b90a53a5a3a16da1cdd99e71fd5b21

Pith citing papers

No inbound Pith citation observations are available.