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Paper Citation Record · LEDGER

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2604.16680.

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

pith.paper-citation-record.v1
2604.16680 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:32:40.226275Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd81b2a9-8749-4b86-8702-900b1fb4bdd7 · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.IEEE Trans- actions on P attern Analysis and Machine Intelligence.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Foundation models defining a new era in vision: a survey and outlook.IEEE Trans- actions on P attern Analysis and Machine Intelligence

Reference 1

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

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Observation 95152c02-9e01-4f9f-bd38-37cb3edcffbc · outbound

This paper cites Method for registration of 3-d shapes.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Method for registration of 3-d shapes

Reference 2

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Observation 74c54364-ea24-4224-8db1-e9112c1c9df8 · outbound

This paper cites Sc2-pcr: A sec- ond order spatial compatibility for efficient and robust point cloud registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Sc2-pcr: A sec- ond order spatial compatibility for efficient and robust point cloud registration

Reference 3

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Observation 30cd12f1-3cb2-4f7d-b6a9-292d52b2bbb9 · outbound

This paper cites Fully convolutional geometric features.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Fully convolutional geometric features

Reference 4

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Source-reported events for the cited work

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Observation 72d9296e-d4c7-4efe-8e87-efb6769add23 · outbound

This paper cites A generic fisheye camera model for robotic applica- tions.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion A generic fisheye camera model for robotic applica- tions

Reference 5

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Source-reported events for the cited work

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

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Observation 1290bd0b-2ef8-4c37-abda-ecf8cb040ef5 · outbound

This paper cites A volumetric method for building complex models from range images.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion A volumetric method for building complex models from range images

Reference 6

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 9f6674df-5e88-45fc-bb32-99249d365e6b · outbound

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

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Scannet: Richly- annotated 3d reconstructions of indoor scenes

Reference 7

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Source-reported events for the cited work

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

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Observation a6f9834b-52fa-4102-8727-880354d6ce1c · outbound

This paper cites Roma: Robust dense feature matching.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Roma: Robust dense feature matching

Reference 8

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Source-reported events for the cited work

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

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Observation 42ee3f8e-7dd1-4398-83c3-1644a18e6940 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395

Reference 9

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Source-reported events for the cited work

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

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Observation faa94e1b-b833-4020-aca4-b32f326a5fd0 · outbound

This paper cites Vision meets robotics: The kitti dataset.International Journal of Robotics Research (IJRR).

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Vision meets robotics: The kitti dataset.International Journal of Robotics Research (IJRR)

Reference 10

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Source-reported events for the cited work

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Observation 4da57907-4956-41ce-b205-4513a62f8bb2 · outbound

This paper cites Closed-form solution of absolute orientation using unit quaternions.Journal of the optical society of America A, 4(4):629–642.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Closed-form solution of absolute orientation using unit quaternions.Journal of the optical society of America A, 4(4):629–642

Reference 11

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Source-reported events for the cited work

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Observation 4d7a39c2-74ed-4cfe-9a1c-7204932d6f5f · outbound

This paper cites Predator: Registration of 3d point clouds with low overlap.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Predator: Registration of 3d point clouds with low overlap

Reference 12

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Source-reported events for the cited work

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Observation d45eda41-ab4f-479f-a8c5-a34afb991270 · outbound

This paper cites Generative point cloud registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Generative point cloud registration

Reference 13

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 95f759d3-645d-4b9b-aa12-24fcffb1dc2b · outbound

This paper cites Zero-shot rgb-d point cloud registration with pre-trained large vision model.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Zero-shot rgb-d point cloud registration with pre-trained large vision model

Reference 14

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Source-reported events for the cited work

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Observation 39254d13-ec8c-4e68-b958-e7d8c80012c1 · outbound

This paper cites Distilling cosmos transfer 1 models.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Distilling cosmos transfer 1 models

Reference 15

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Source-reported events for the cited work

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Observation 9fdc1163-acd6-4999-8504-63e5613c1ad0 · outbound

This paper cites Grounding image matching in 3d with mast3r.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Grounding image matching in 3d with mast3r

Reference 16

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Source-reported events for the cited work

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Observation 146428e5-b8f5-4efe-bd08-a9de75ff90a0 · outbound

This paper cites Unsupervised deep probabilistic approach for partial point cloud registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Unsupervised deep probabilistic approach for partial point cloud registration

Reference 17

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Source-reported events for the cited work

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Observation 4ddfa0b8-573a-4026-8844-cd65befe2778 · outbound

This paper cites Colorpcr: Color point cloud registration with multi-stage geometric-color fusion.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Colorpcr: Color point cloud registration with multi-stage geometric-color fusion

Reference 18

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Source-reported events for the cited work

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

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Observation 157dfcac-95b2-4236-8680-e41f901f53f2 · outbound

This paper cites Cosmos world foundation model platform for physical ai.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Cosmos world foundation model platform for physical ai

Reference 19

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 6ff1d726-dc4a-496f-9fd4-7e2b6fed79b6 · outbound

This paper cites Cosmos-transfer1: Conditional world generation with adaptive multimodal control.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Cosmos-transfer1: Conditional world generation with adaptive multimodal control

Reference 20

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Source-reported events for the cited work

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

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Observation 4ef3b291-a87b-4e93-a9b5-0030feb93721 · outbound

This paper cites an unresolved cited work.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Unresolved cited work

Reference 21

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Source-reported events for the cited work

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

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Observation f47d66b3-bfff-4c29-92bf-38ff234c17e2 · outbound

This paper cites Geometric transformer for fast and robust point cloud registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Geometric transformer for fast and robust point cloud registration

Reference 22

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verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:b52eca1028d6b81363ccecd3106a241c8dec359dd559b0a07c754646cc476038

Observation e21717e8-e0eb-45f7-9e17-2f2556c27afd · outbound

This paper cites Cosmos-drive-dreams: Scalable synthetic driving data generation with world foundation models.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Cosmos-drive-dreams: Scalable synthetic driving data generation with world foundation models

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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

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Observation f466f0be-07d1-44b0-ad62-67b4c5fee81e · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion High-resolution image synthesis with latent diffusion models

Reference 24

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 9c0b7cf6-9754-4851-beb3-02720eb5c00f · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Fast point feature histograms (fpfh) for 3d registration

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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

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Observation c3c895ad-90f3-46ba-87ba-46832f83b6fd · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Superglue: Learning feature matching with graph neural networks

Reference 26

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verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:afe310d0db649ec255fd84154aa88e2f9f8b8635a16f9e76cbddb3361df45a1d

Observation 3abf454a-4eb9-4283-aa94-941ca734e7f5 · outbound

This paper cites A flexible technique for accurate omnidirectional camera cali- bration and structure from motion.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion A flexible technique for accurate omnidirectional camera cali- bration and structure from motion

Reference 27

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verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:4a53bfd1b05125f8af58e82ccbb4f8e866d6928c0917820394a6f9cb33f0ac3c

Observation 13f6d526-6517-46b5-ab42-6a4369f68cf3 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Scalability in perception for autonomous driving: Waymo open dataset

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-20T22:14:07.015670Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:c335bcb811308f57992a2a53e621ccb85de99da24f562d298fbe3bb00ace33e4

Observation 1546e849-d941-4bfb-b0dd-51e0b67025ea · outbound

This paper cites Foundational Models for 3D Point Clouds: A Survey and Outlook.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Foundational Models for 3D Point Clouds: A Survey and Outlook

Reference 29

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arxiv_id, observed 2026-05-10T08:32:51.680468Z

Source-reported events for the cited work

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

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Observation 474b4ca7-d48c-426f-a231-8427ea63d8a3 · outbound

This paper cites Unique signatures of histograms for local surface description.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Unique signatures of histograms for local surface description

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T22:14:07.052774Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:024bfddc37afc46f2a3ce0b040f540578f07cd32140a9c1f52d1d3ef2a106462

Observation 9bd06611-6308-4bff-8caa-153a9685e9a3 · outbound

This paper cites Freereg: Image-to- point cloud registration leveraging pretrained diffusion models and monocular depth estimators.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Freereg: Image-to- point cloud registration leveraging pretrained diffusion models and monocular depth estimators

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-20T22:14:06.992060Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:c889e2e75a8ac794e6fccd27d7a316342b09d763d8f465cb05e6f089a8466510

Observation 130abb3d-f0ce-4da6-8397-58cba6fea610 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Dust3r: Geometric 3d vision made easy

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T22:14:07.004984Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:20a6b2264e557bb1f6253221152d95115115afb32d075da869b6cdabc3841904

Observation c83f6b41-9d76-4022-af99-054521d73bd5 · outbound

This paper cites Rotation-invariant transformer for point cloud matching.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Rotation-invariant transformer for point cloud matching

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T22:14:06.990072Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:c1cde919943f0f286e1dbb2f9751972c4f66cf0fd6ebdf272d970b8f8fed53f6

Observation bfb74df2-d95b-4d1b-8c77-04879fe78076 · outbound

This paper cites Pointmbf: A multi-scale bidirectional fusion network for unsupervised rgb-d point cloud registration.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion Pointmbf: A multi-scale bidirectional fusion network for unsupervised rgb-d point cloud registration

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T22:14:06.987657Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:452e8f91fca97e62287bf2028f6c7808545497b8819b9f95f9965a78420e5aca

Observation c45bc710-b01d-46c2-be9c-56a1a743f07f · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstructions.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion 3dmatch: Learning local geometric descriptors from rgb-d reconstructions

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T22:14:06.981606Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:6f153f4dd46e69d75563d23a9374de6fff36d06b03e64e4bf767a2fd4be462fb

Observation 584d1e42-5c63-4126-940a-b31b839c4ef4 · outbound

This paper cites safeguard.

C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion safeguard

Reference 36

Resolution
malformed identifier
raw_fallback, observed 2026-05-20T22:14:06.983665Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T08:32:40.226275Z digest=sha256:2da103a4c3a9d563b85072a6f04cb7955b76718941b013bd2b13dab2fc8fd6e1

Pith citing papers

No inbound Pith citation observations are available.