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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
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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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source=pdf_text observed=2026-08-05T14:50:56.859619Z digest=sha256:526530eeb5a12edce2f22797129ad7c67cfc8294fd303fea3a4cbfe87a640ca1

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=sha256:6ad87ab3db66e7e81ae82f8e5a040da3a0afae021a99a116a95f44ac63b3c3b3

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=sha256:83c141b8fd58bc299ef740abddc92cabc4f8e3e98309b6e4b715efa6c9bb71e0

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.

source=pdf_text observed=2026-08-05T14:50:56.897082Z digest=sha256:2a7e12f2aba4c966d823087afd96f819e9e216b7ffb1b77f6ffbceea7968cc32

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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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=2026-08-05T14:50:56.902346Z digest=sha256:2b7c2af3298df7ab70c54e64e196de1c0d47c7af244320cd6b2400f4bebfc1ea

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=sha256:4e7772a530a476ec130006b12e1483800b09310991a3eaa08c8b7282c29e1437

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.

source=pdf_text observed=2026-08-05T14:50:56.913945Z digest=sha256:36a24cdc73a3a1c636767e3e2fec90787415bf9400ca88dba3119fdf21ba3555

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.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:56.924982Z digest=sha256:67756e836f81a0a716ae21045bdd90abca595f7821cc8a151221eb1722274779

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=sha256:9222536a533d4cb3cd40f0b52235e7a81d85762942e4fc795658b82be168e9f0

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:ac6663c9c48fc6a1167c0e8d5bef07974683e5c53f54f7bc9866060f73c6c797

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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source=pdf_text observed=2026-08-05T14:50:56.954441Z digest=sha256:c54eee987eaf772034aa0c8c7ae5551205c0d6b3ed8ead2d24a0986656bfde9c

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.

source=pdf_text observed=2026-08-05T14:50:56.959507Z digest=sha256:05d3edade52d8e3b74acc5d209be6cbd773b6ec0f83a66ad78e5b0a9124bd6ee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:56.965114Z digest=sha256:a4c53b1c852d4d757f3365f216c1ec91615918e3aef6b9ab0534e9bde526f792

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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source=pdf_text observed=2026-08-05T14:50:56.971014Z digest=sha256:c49608e6bee7793b8789e7458b3e0b82124d4a046649c35831ca53e22fe47aeb

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.

source=pdf_text observed=2026-08-05T14:50:56.976667Z digest=sha256:4302f320081a6e95974b8795d4142c703ab05db5dddd7b94d58ac33647fa44f4

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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source=pdf_text observed=2026-08-05T14:50:56.981867Z digest=sha256:507bc9931269a77a62af5905ef55a5c55071522e9f45c848df3bbf94a8deb2e9

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=sha256:590776b2ff34da106935c7560f4fb5d66a4edd18b0f4275b17d88a378c0a79ce

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.

source=pdf_text observed=2026-08-05T14:50:56.994575Z digest=sha256:2f1209a7bb7dc47fdaa63e53dce2112ce901c8a81357365d20a2196e23a8ac8c

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

source=pdf_text observed=2026-08-05T14:50:56.999489Z digest=sha256:415c0614d00cc25b5a8135ed610d109e7a938c01ef5c0eb3694a3766fd9fe16f

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:a5cecb97076ddd5a71bcef95d420d50ccf6e7b94fabee943cae53d6a0a9a2f15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.010154Z digest=sha256:fa3dbb16760929619ce1f7e3aa4e898b1ceb44b866e4f0b5407317df03a8cc2b

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=sha256:3f233837e3c1b547aeab9e222b65047b5919b890cde3ccd7a5b556f69a6584f2

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:b2044286f1f6601a858b2643e8186544eab78941675cf94804c42339d63b293f

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=sha256:0b3cd2ff49d9f4bcae1647e650bb19d41cc46b941567f38f801a17a40fe03ae2

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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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=sha256:36cf39af82cb5804f5994be02f0798bb1c92e50bc74ca66029559c3df050be28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T14:50:57.039050Z digest=sha256:28cd113881cbf9397aa286be07d796a7b8b568438db361e90f8bb2371fa04eff

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=sha256:3f0400f83456bfd37145d4522f6d5de1fc55afce083e11e242275662c82145d1

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=sha256:6f465bffdde749e32b499eb542cee9fb13cd30bbda55d646eb458f3555e199db

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=sha256:97233728b7285b089816fde046b316355850a31ba085642b210fc83793ec9820

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=sha256:68fcd767b21c61bc84e6c0ccd62ee4f1220973a3bbe70f97253d1c19e1bf480e

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=sha256:23ced9cced3c73779f88d302102e356c19e615bac27ed9fbd81fada781c214a6

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=sha256:45d6a8d9bce1d0a1c7a5aaf7d83e2b5ae4edd9253671926c8f0006a7433b1103

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:a1e7ebb04be59f132bf2d8bcab4cce8ed84a1172e42f057fe43a47bbd943fcac

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:dda29078c6b17cb3cb12c079427534290386791fc76c5978c67c3ce25c2117bc

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:bfee76ed7a4e83adb22ff627ee659615ffdacfd1c37a688170ab9311a588d436

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=sha256:76154b16a8dce65165ed44cb3c9c415331d5b6bfebbf75e0d4465a44d78a7477

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=sha256:0fe0e406e1f2bc72fc496127908d687480762f3761963b38b89b00d011d57791

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=sha256:3e79f6c2f97f85609da89a37cad7267467f983b52ddb41b5fdf81890f8e6aa93

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=sha256:9902afa46065522f0bad67e730ad603c59c63e999e2dba64749e46ca442dbc52

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=sha256:048308d0432d91720f42431b356e280356ffc0903372d6df59706919739b3ebd

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:bb26304a8bceb931719bf6a3ff7815bb127828fa4cce17beca3358979b195fb5

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:b10f857fdcffab78ce4eb59cd37af10b0785a60637ed4dcedab52650b3da2204

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=sha256:1201067923178ae9bd01b30a12c61b0a5431920877082ccbda0f51035f313f62

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:c64b4f9bb457c40a9a44da5797e558604119ee326a948dc2540b09e6e98d07e1

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=sha256:30a57821d1d1b2585c57c8228a7fdff339aa2dccb14385e6d4d7843add47bf6a

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=sha256:11477dc261d4ca35d9a94f599e55b52ddeb8a59804f0226156a377e71b0203b6

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:d0b4f93199a1306319639eb812e24106251807287d4153f991e87f11e7268df7

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=sha256:8eff19f6ed4170b98f11a0ad7b63dbda8f53ab8ea2b56d0f93819b25b00c3892

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:c9140780b09d09495719a3cf20ed01ef1b10b0699a1ab9c81c43af29195dcfdd

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=sha256:5e79a9b942607a878eb36140b54cb480ee44ca5f4df49fc1157830538928a660

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=sha256:31a9b455c0c1be7968c00110d78e9e91c4c84b9eed5b315fe2eae1ffa7f4393a

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:d9c19201070001d36a121478a235b961338e99b1e6d9dda5b7726fe9e44abff5

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:c85e79cbf76d978f4165b5dbc089fca26efa5a70a7cb5c25c4af18ec32300bc1

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=sha256:3e10b0fb70b67aa21fabcb708f2b9ee3c16510362edb6d9eb65902ae3272c376

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:b408bd19c03e268a889e7f7825f8da562189e1ddada5e57cfc16beafe13a7b6b

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=sha256:0a4f2aa53f1b38ac70a68ae098c0bd6f9ba5efa20c467abb8f90c48e3370cc49

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=sha256:5f69bcd7a9d1baddf061db58f543d096dbd464f3ab3670f91942e5cb3ca4ed64

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=sha256:5fbf7d20d0a843097e492d129aedb8cb1d9dfaf21d631b456059a2413320d859

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:c0e505700ae444defd9f750dc27aa0c4e47d30659f600de78b6bb66e091dbc89

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=sha256:570fdedc27f1e8eec5b3a8e185f2fb73c0b80928472e39e87fb2e58444b6a573

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=sha256:71b3155e0eb21453c04d5df3992c3f06dbeeb2366386eacc96fea9e7ae370958

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=sha256:3e93599943ae567dc57f95aecd8e7497a058f21e134a7592c9aadce77e125265

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=sha256:645dd2f8da102af7d1851c6b3d03eada071f116f190f7cc71006115632d9ae25

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:c78008a058714f6b87dcd50c704cf3d8d80652b3650ebfb0ecdf233aa5a207ea

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:c694e42aa304135ab8a62a97d119bcc14be123432e52f2c9e8356a21fc91b4e6

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=sha256:5a4d6a7397de29eb8d2a92fcaa29c13dc7ef727e7612254210388ee9d9f2f082

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:dc5ad6155e2f64eda4f1bd75c6a1e3038550fad8ac226a541ad391e2a11ef510

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=sha256:7cce481e34e63dd1a607fa419ade473729617778eb4cd30c2b2527a6111ff260

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:b13fd8904d2cd8bdf27f84c88ee934b5f85ab349ff29913cdd9c6002f9b97a9c

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:aee9493415646d5b9dbff7b722e13bd19d3294e024ee922544e24f606028e1b9

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=sha256:0697b808bec4fb5f49222512311da6540a1a9d25619420fd272af6a2336c5ca1

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=sha256:9c90bf538d25b106d957a3a3695474d6b7f9d72f0894017d4b160156f48eb406

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=sha256:9d1c98469d6843d839491f41464759f58ab0c54fd48c6da869579c24f5bbca1f

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=sha256:797ecddbed9f75bd73dc02383228ebcc8d62d1558a781ae6b0e7ba4c3fa73bf1

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=sha256:2d06a5efe2b333874f8279b96210db2cbf7f81a64800b599a9d3f0578846f3cd

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=sha256:18336223bfd3e407816c8e3b1da07734eba0a6e0644e4230643965e3385341d8

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:fdfb1bebc953ce48473850817a2dd6de26e011ab8f9a023c97a8e8c164a5cd5f

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=sha256:2acbd2ed39418ddc8f382bc62b95bac93c8dfce9a13ba9bf56fe9ebcc043aae9

Pith citing papers

No inbound Pith citation observations are available.