Paper Citation Record · LEDGER

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.17721.

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

pith.paper-citation-record.v1
2505.17721 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:46.271297Z

measured 45 of 45 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

45 of 45 outbound references displayed

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verified fuzzy35
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28db8892-3b29-4f7e-9b67-5740764aae18 · outbound

This paper cites Learning representations and generative models for 3d point clouds.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Learning representations and generative models for 3d point clouds

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.867042Z

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.

Observation 72e20c05-4c01-4010-87e0-86d6874a4309 · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 2

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Source-reported events for the cited work

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Observation 68707706-fa13-461d-bd68-762260c13aa4 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:42.858214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebdce65-20da-483d-bccf-822078c63a1b · outbound

This paper cites Generative pre- training from pixels.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Generative pre- training from pixels

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.723269Z

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.

Observation f63e92e6-2298-426f-bb78-1bf778a27aba · outbound

This paper cites A comprehensive survey for generative data augmentation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation A comprehensive survey for generative data augmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.565732Z

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.

Observation e14274e1-6882-43f5-892f-bbe25091c38c · outbound

This paper cites Gen- erative adversarial networks: An overview.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Gen- erative adversarial networks: An overview

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.387151Z

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.

Observation 7849281a-f16b-4a3a-b69b-d5c004094e8b · outbound

This paper cites CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:43.155220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6e14db-7b64-4cc4-a8c5-116c5785e624 · outbound

This paper cites Large scale adversar- ial representation learning.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Large scale adversar- ial representation learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.180865Z

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.

Observation 2c3d554b-d14e-4062-8aef-5c6974ba9031 · outbound

This paper cites Adversarial Feature Learning.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Adversarial Feature Learning

Reference 9

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Source-reported events for the cited work

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Observation c9228582-8f81-47c2-baf2-d17b03c27378 · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation A point set generation network for 3d object reconstruction from a single image

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:52.029103Z

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.

Observation 6fe28080-2dd0-4b65-a6fc-a286c5e56389 · outbound

This paper cites Diffusion Models and Representation Learning: A Survey.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Diffusion Models and Representation Learning: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:43.298029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c8e8ed4-17f5-45bc-af0c-fb671b5ba630 · outbound

This paper cites Mrgan: Multi-rooted 3d shape representation learning with unsupervised part disentanglement.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Mrgan: Multi-rooted 3d shape representation learning with unsupervised part disentanglement

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:51.864061Z

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.

Observation e09b93a9-53df-4cd4-826d-901240a48615 · outbound

This paper cites Deep residual learning for image recognition.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Deep residual learning for image recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:43.418395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 995bee7d-1a30-4c7a-9ff0-8b40dc3126a5 · outbound

This paper cites Spaghetti: Editing implicit shapes through part aware generation.ACM Transactions on Graph- ics (TOG), 41(4):1–20, 2022.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Spaghetti: Editing implicit shapes through part aware generation.ACM Transactions on Graph- ics (TOG), 41(4):1–20, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:43.454439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e9daf8-96ec-484b-8eca-a7834becef48 · outbound

This paper cites Denoising dif- fusion probabilistic models.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Denoising dif- fusion probabilistic models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:43.491397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6651ae57-55e9-423d-b6f7-144e6e4e83bc · outbound

This paper cites Pf-net: Point fractal network for 3d point cloud completion.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Pf-net: Point fractal network for 3d point cloud completion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:51.678443Z

Source-reported events for the cited work

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Observation ff6ae2ab-ac9c-4d96-86d7-c0348be70e75 · outbound

This paper cites Gal: Geometric adversarial loss for single-view 3d-object recon- struction.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Gal: Geometric adversarial loss for single-view 3d-object recon- struction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:51.458326Z

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.

Observation cb11cab7-4d51-4207-a60f-98e25e5c3426 · outbound

This paper cites Auto-Encoding Variational Bayes.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Auto-Encoding Variational Bayes

Reference 18

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Source-reported events for the cited work

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Observation 0ecb7cdb-e5b8-4990-9d2f-163da9de99a4 · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Your diffusion model is secretly a zero-shot classifier

Reference 19

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Source-reported events for the cited work

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Observation cbba1318-bff0-4970-8c70-c5a207816400 · outbound

This paper cites Sp- gan: Sphere-guided 3d shape generation and manipulation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Sp- gan: Sphere-guided 3d shape generation and manipulation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:51.286574Z

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.

Observation 4c9ec48d-7468-4861-b2cf-7da5f0bc79fe · outbound

This paper cites Editvae: Unsupervised parts-aware controllable 3d point cloud shape generation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Editvae: Unsupervised parts-aware controllable 3d point cloud shape generation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:51.097098Z

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.

Observation 16bc83e5-f9a2-4583-803e-428a66461b8a · outbound

This paper cites Point- voxel cnn for efficient 3d deep learning.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Point- voxel cnn for efficient 3d deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.983019Z

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.

Observation 348dbd3a-adee-408b-9976-f84953a36277 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Diffusion probabilistic models for 3d point cloud generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.826198Z

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.

Observation 286597fa-24cb-48c6-8c65-e1c6b663a0a3 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation SDEdit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.679755Z

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.

Observation b6504900-f862-4098-aa1e-84178f2d1afa · outbound

This paper cites Difffacto: Controllable part-based 3d point cloud generation with cross diffusion.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Difffacto: Controllable part-based 3d point cloud generation with cross diffusion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.541547Z

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.

Observation 9d7efafc-b4d8-4737-8462-72a15cad8fe5 · outbound

This paper cites 3d part segmentation on shapenet-part.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation 3d part segmentation on shapenet-part

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.402706Z

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.

Observation 1592f201-761c-48ce-af42-1f4d29198ad5 · outbound

This paper cites Self-positioning point-based transformer for point cloud understanding.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Self-positioning point-based transformer for point cloud understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.202186Z

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.

Observation d44bdb7f-6269-4635-8b9c-956f592e9b9b · outbound

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

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:50.032421Z

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.

Observation 6a22d66e-ccab-4691-bcdf-42c6d109f951 · outbound

This paper cites The earth mover’s distance as a metric for image retrieval.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation The earth mover’s distance as a metric for image retrieval

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:49.845703Z

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.

Observation 4dcde97d-5dfc-4511-901c-e237b33d5db5 · outbound

This paper cites 3d point cloud generative adversarial network based on tree structured graph convolutions.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation 3d point cloud generative adversarial network based on tree structured graph convolutions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:49.524692Z

Source-reported events for the cited work

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Observation 3df9d9a6-cf17-4133-9f31-6b915351cfe3 · outbound

This paper cites Repurposing gans for one-shot se- mantic part segmentation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Repurposing gans for one-shot se- mantic part segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:49.246396Z

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.

Observation 56c6dcda-a066-444c-a6e2-9e7737b298c7 · outbound

This paper cites Linear semantics in genera- tive adversarial networks.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Linear semantics in genera- tive adversarial networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:49.102314Z

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.

Observation cb7f5399-b910-45c2-bba4-ddc831fc7b59 · outbound

This paper cites Generative hierarchical features from synthe- sizing images.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Generative hierarchical features from synthe- sizing images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:48.917243Z

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.

Observation 993d13be-39ad-42ae-9ae9-1418fffa7ccc · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:48.743364Z

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.

Observation 84d0a7a8-00cc-402e-ac34-9f1fdd3f46c2 · outbound

This paper cites Dsg-net: Learning disentangled structure and geometry for 3d shape generation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Dsg-net: Learning disentangled structure and geometry for 3d shape generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:48.595775Z

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.

Observation 95d264eb-b5bd-4dd2-bf32-073e47c2bee2 · outbound

This paper cites Intra: 3d intracranial aneurysm dataset for deep learning.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Intra: 3d intracranial aneurysm dataset for deep learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:48.409694Z

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.

Observation eda1d5b5-162c-4de3-9543-4c2a20836886 · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:48.181380Z

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.

Observation d0f6a71e-4352-4610-a305-5384ee470112 · outbound

This paper cites Pointr: Diverse point cloud comple- tion with geometry-aware transformers.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Pointr: Diverse point cloud comple- tion with geometry-aware transformers

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:47.988756Z

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.

Observation de5c223d-f6ad-4a5e-b24b-df3a661b1fb0 · outbound

This paper cites Lion: Latent point diffusion models for 3d shape generation.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Lion: Latent point diffusion models for 3d shape generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:47.726505Z

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.

Observation 212f5b70-338c-4412-8adb-5216ad27544d · outbound

This paper cites Point cloud part editing: Segmentation, generation, assembly, and selection.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Point cloud part editing: Segmentation, generation, assembly, and selection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:47.516005Z

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.

Observation c058a3cb-d8f8-453f-b16b-bb834abdfaea · outbound

This paper cites Datasetgan: Efficient labeled data factory with minimal human effort.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Datasetgan: Efficient labeled data factory with minimal human effort

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:47.293641Z

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.

Observation 12b9005b-8c13-400c-a7c9-e8ff6b565049 · outbound

This paper cites 3d shape generation and completion through point-voxel diffusion.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation 3d shape generation and completion through point-voxel diffusion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:47.143035Z

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.

Observation db8789b3-1072-4101-b821-016c902862ee · outbound

This paper cites Semantic Part-Aware Latent Point Diffusion.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Semantic Part-Aware Latent Point Diffusion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:46.952851Z

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.

Observation 4d716601-7ca0-43bc-bf80-75c4d450894e · outbound

This paper cites Experimental Setup.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation Experimental Setup

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:46.729874Z

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.

Observation d4cf1516-c9b7-4956-ad23-41a9027d61b1 · outbound

This paper cites ground truth.

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation ground truth

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:45:46.552761Z

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.

Pith citing papers

No inbound Pith citation observations are available.