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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:56.859619Z digest=sha256:66fc12a2cbf982813e6cc2e64b6ddf72d066e7864ccd2880416f47d128d0a7fe

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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source=pdf_text observed=2026-08-05T14:50:56.880461Z digest=sha256:5ba84b6dc8c601081aab19c8a8138995c72f81a7ba7d3b439bb98e935aea8750

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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source=pdf_text observed=2026-08-05T14:50:56.885978Z digest=sha256:421e5375cbc5c2b09695f07637a7bf15231023e8a9c5e9c1db2e8c407939f7e0

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.897082Z digest=sha256:7bce304afcf8d4046af60d26cabfb3f2c1b2bb44873aa003944a7eeeccd3f54b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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=sha256:19ae21a7570ecc1c1b8eeba1b2e9979e947e9d4d664c7206fb4c37e112950ef0

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.919663Z digest=sha256:ff423a7207e4d77716646aad847edfc6d143f65d48e5f7611d324d0248d201da

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.924982Z digest=sha256:210d622285e26399ebb7374ba77c2c039b7a5f6c356c8c6290425effde42ef4a

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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source=pdf_text observed=2026-08-05T14:50:56.929636Z digest=sha256:e7b593d7da9474634c6059e7a0d4e390020f56418e68de05809a4037f1627686

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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source=pdf_text observed=2026-08-05T14:50:56.934595Z digest=sha256:0fc7e8ff1de6ae7b142ffbfa9cb932930822018a5f8e02968e89079d7b8d899e

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.944797Z digest=sha256:c347831895d8a14fbf0e2c2f9a3e052fe7d28c42d912fa62cc0b382a8c50ab03

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 2026-08-18T06:34:40.430872+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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source=pdf_text observed=2026-08-05T14:50:56.954441Z digest=sha256:b438d8a63f4eecafd53d11be87b777b1262ba6534c1b2fa4a071fc64854b23af

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.965114Z digest=sha256:fbc5e1fce14c23f920ed1ac00e9db5f24e1329f19897ae9dadeecb7e4cceb4f6

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.976667Z digest=sha256:cc4c941d89980e99b50f9a2b8775ca832c65d7305b144304ac0a8e03031458fe

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.988284Z digest=sha256:2dc378754fe8a9cc0b5281f18be8ccfa462d23475b79e816fac5e6ac156414ab

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:56.999489Z digest=sha256:5073e823c776325ff6d3ba51adc45f27be803e0917b52d1274f4809f5a1da63f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.004895Z digest=sha256:1220217e53b1375552f519dd779130e6a52f0c7b72905eff80883af577299839

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.010154Z digest=sha256:fab7844fe3ce6dcec8a20550113991002681cd23934539bfc4084b05ee1f3729

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.015130Z digest=sha256:1dc0220e8705f6eef4fb320f630a165a51a58ec529ca74155a55ec301d819d72

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.020040Z digest=sha256:6824484f49fd3bea312568fae58f376ab857f9cb9d764a55e3cbffecfb8df022

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:eb0dee85468a09007901230e0ca4629ccacc53b1aa3c68103b3561d4d2ad4c2c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.033279Z digest=sha256:ee7f3439e401cf0927dc6d7a8087b94c1fb8cc75393d502945b14b9a3a616286

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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raw_fallback, observed 2026-08-05T14:50:58.436752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.039050Z digest=sha256:f1b612bad0f9debd529d5fe6d3ee1625c0005e238a39675b9569cea630657f22

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.044296Z digest=sha256:1823fcf9763efe5ccae361d8bebc21bb3d95fbbebc884adc788f7fd55e45f773

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.049968Z digest=sha256:b291323e7614f94629b627c115e66c0d4839918790e1816884e477616b3afdca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.055355Z digest=sha256:f19692ceb4bb4cc09e837c1d42e9a685ee49024a22f8f592fbd26a70598ec37c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.060664Z digest=sha256:bbc9a6cf89bb8cbb53f9e6e86ae6b0859e3175d276e32e2264ee731c3db1fd97

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=sha256:8880f17e94e1062eaf7b3b88370e0132ed542408e8c8bdc83440258c6132113f

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=sha256:09bc7630cd64d4c98a9d09d1eea7997692b2e0e14a1cd68370d32181a8e2d53e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.077718Z digest=sha256:8b95d77c28d98eda5cb1e7ca472eec844d798210b01f4f5e7bdc0b6e6aa1498f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.083376Z digest=sha256:857cc9c33fcb0cc71afc92baa309c36f8f93c53ad6fa5030ff485b31e4daed0e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.091002Z digest=sha256:dc607e86e7dbabe8460277110f84c96b19cc2ab04db11e35c86eea1a03dd1765

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.095821Z digest=sha256:42baaa15b0cc18d709b93a33398286d88137948f083339811d09655a4fccbca0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.100984Z digest=sha256:b483927271fc4a3b178d40b70db69fd3cf57eb35989e5f3429b7c5aeecec63c0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.105743Z digest=sha256:9d9f05af0c7d231596c8f87188a12c0015f69a4e24a1c5a4e1162214dcec419c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.110388Z digest=sha256:85fb5f91e040a0f61f3181393011cf1afc43afe4004cdc49893f92f5698a64c9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.114923Z digest=sha256:b0539710007bedada4a15730035b3c27b1f68ce97ab0040527eb7dd40b091bbd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.120320Z digest=sha256:3e7411a3cfe54dcc3e936d485be9bad855667012c33492fa520cbd8964b20a4a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.125326Z digest=sha256:53dd8adbebae9f7d4cb3df2c6b2ceaef752ac8b713ae1bd93df2aac46aa1b496

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=sha256:2f213c59cdcb952e959718e38dba9a195fe98f0ecb8ea525c62af3f9f54877a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.134769Z digest=sha256:8ec62cf11991fb96195663396685f1872e8459855bf4e9d96d328638655949e8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.139731Z digest=sha256:5b993bc44e85a4bf1de6f5279bbf01fbeb50abfdf792dce446a1e4099196f32c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.145440Z digest=sha256:f58660c87fa432842f50191c349468756958dd0249d8c06294346fc1c11343fc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.150064Z digest=sha256:2b0c02b439cbfa3c7d74b11a01de6246ab454249a938d24f52cc73bc41b00b44

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.154717Z digest=sha256:a6216881e3f1c7411d9add23e01bda8dff9a026ce92a2dcdb630d547e77df440

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.159614Z digest=sha256:acae73331c55d719cb354364fbdeb36edb93ba9da70662a47633c9813b12dbda

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.164568Z digest=sha256:a0805e4b308e8b76f6a369cec6af63d9b826558a51468153c331478e02ca653b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.169662Z digest=sha256:88d9eb96d8db4880e1694957017bd3e40fab9e1979dfe1e560c328363273e1d3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.175752Z digest=sha256:e022c6e2d63195f57eae524626b6873d86ad6d1b791467a8efc3979875a5e45f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.181844Z digest=sha256:a0867fd3972c7ba8f40f85a654dd7aba34889f285385d5b3af09371626bed2ba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.188178Z digest=sha256:fb68314ef0b4df15c62a485cda99924abcc89758fb70ff4450f58fb13965ab58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.194455Z digest=sha256:cda4ee70ac11d96a96efe023d2dae9046ca9298e50be419c00cc5555e7cd345f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.200207Z digest=sha256:022ca259dd72a6f2c6ff84a13742b6320e3e8e3d51334b79b8d980598d1a7d4e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.205607Z digest=sha256:562268d6e1d1b517c35391b7cce93c89923ec7b768820c50bac1d4408224ab3b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.210515Z digest=sha256:d321b7d354210bdb8861c0c6ebf0c6c5ae8d3b19574cf0bd7ee3dcab421b7d81

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.215482Z digest=sha256:72f4102353823fd1ecca405d65a4721906020f938f9a89a32745a46a40574326

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.220131Z digest=sha256:ed7c7f02aa7b32a42824f03135b24cde359ac7b41395e36f5bb2c423b21b6b87

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.225707Z digest=sha256:ef46a63cb393e9a80e4ba4d9c7b3e9de581584409c5e1725b39f215c1549c094

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:b74d046006bfcdb520dd461535375f8e1a5859284e0f7626c9b6dc3ce7be83fc

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:ca0269b9091d42f38e253dc032b973113a0b78760d4c7b434bb1e6e1c3b01295

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.239782Z digest=sha256:9c4829b1d6b532538f8bd43a9dcf46df6b445ed15ac44e9125bf34bd9d1e0950

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.244843Z digest=sha256:e60c59612a25a54ab9b7d0c0f29dc673b39750dee45a7c5acaa1f84f31a7e599

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.250087Z digest=sha256:1e0f916aca72dd87c46c44ae2c27075d45848cac76fcf5f1f2901aed861e815a

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.259969Z digest=sha256:fff9c89b4e5782a2f9b536e7e4a771f12044e0d83095d42ff2e6308f9c21e7dd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.265775Z digest=sha256:e89c7d48e7a316eafebd72714512c739e0e7061f1b22ded8f35429576677ad60

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.270552Z digest=sha256:d82a12e10697fa223b6694bb7f8ffd696fb5a49f4f802af3f71d2c0a669aac91

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.275700Z digest=sha256:7b6d17f54b464de1a24775c3dca6f39d084d4bc8ae8aad4026c3f27d5d419424

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.281372Z digest=sha256:e7aac26e6c08f7237760296207ff61595bddea7c8517393f82be22e8d8425fd8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.286403Z digest=sha256:72f65d90aaf8907128788247c3d4a9ca067c5247e3ac2a220518fb343a9c2234

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.291202Z digest=sha256:c609b75ea33c332ec98cf0b7c1e138e532b5b04d24e896e136ed997d5890c3f1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.295953Z digest=sha256:71055230fb4be7399085c0b352b3985ab0bc24b351ccf34fefd38c1392b0a094

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.300929Z digest=sha256:92755425b899d44a910a07b5eb8c01b448d77703d7b4efad8cabeb1a3aaf56ab

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.306340Z digest=sha256:a9ecb62bb4cd1492a379cab195556dfb72c839f9105e00376df9ad9f4f830e3f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T14:50:57.311424Z digest=sha256:d1fc4ef8d856ebbee47851f789ee96cd420ba63ca1a53ddf76d98f8c0a6040c0

Pith citing papers

No inbound Pith citation observations are available.