Paper Citation Record · LEDGER

Diffusion Suction Grasping with Large-Scale Parcel Dataset

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.07238.

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

pith.paper-citation-record.v1
2502.07238 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:26:00.686003Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy16
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6f49288-a2de-4a72-b491-4a8a0f0828cf · outbound

This paper cites Visual sorting of express parcels based on multi-task deep learning,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Visual sorting of express parcels based on multi-task deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.137997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2692fa16-4fcc-43a8-8387-7f72f1f74c2e · outbound

This paper cites Robotic system for post office package handling,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Robotic system for post office package handling,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.122742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19652779-4470-4391-a3bc-a0cfce47a0b2 · outbound

This paper cites Suctionnet-1billion: A large- scale benchmark for suction grasping,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Suctionnet-1billion: A large- scale benchmark for suction grasping,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.107907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 660f1e9d-2697-407d-9593-b650beffcd3a · outbound

This paper cites Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.092839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b379d219-960a-40fb-93d7-848017bbffdf · outbound

This paper cites Coas-net: Context-aware suction network with a large-scale domain randomized synthetic dataset,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Coas-net: Context-aware suction network with a large-scale domain randomized synthetic dataset,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.077421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b04adbab-b885-4da6-bd96-47851ef810b5 · outbound

This paper cites Team delft’s robot winner of the amazon picking challenge 2016,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Team delft’s robot winner of the amazon picking challenge 2016,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.062529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b87542c3-18c5-4627-9fb4-95a3c024a3b7 · outbound

This paper cites PVN3D: A deep point-wise 3d keypoints voting network for 6dof pose estimation,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset PVN3D: A deep point-wise 3d keypoints voting network for 6dof pose estimation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.046777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80c6142d-1ce6-45a9-bdd7-6e19dd6282d8 · outbound

This paper cites SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios.

Diffusion Suction Grasping with Large-Scale Parcel Dataset SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:26:00.796308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a15ecbe3-5cad-4d79-b524-0ca33d4219ee · outbound

This paper cites Uncertainty-aware suction grasping for cluttered scenes,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Uncertainty-aware suction grasping for cluttered scenes,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.028160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d3950d6e-f029-4bd9-9193-177733c50296 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Denoising Diffusion Implicit Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.592175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fee0e43-ebc6-474c-9fdc-de912898ff53 · outbound

This paper cites Suction grasp region prediction using self-supervised learning for object picking in dense clutter,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Suction grasp region prediction using self-supervised learning for object picking in dense clutter,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:01.010890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a97305d-e0a4-4ef4-9ed6-42b5e4677c7a · outbound

This paper cites Sim-suction: Learning a suction grasp policy for cluttered environments using a synthetic benchmark,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Sim-suction: Learning a suction grasp policy for cluttered environments using a synthetic benchmark,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.994068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bde95afb-8a84-4315-991f-c483b71aebd1 · outbound

This paper cites PPR- Net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset PPR- Net: point-wise pose regression network for instance segmentation and 6d pose estimation in bin-picking scenarios,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.978948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d234095-caf6-4441-972f-da0bec2f40ce · outbound

This paper cites PPR-Net++: accurate 6-d pose estimation in stacked scenarios,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset PPR-Net++: accurate 6-d pose estimation in stacked scenarios,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.963796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a788a280-ea5b-42ef-808b-1654a2e1d25d · outbound

This paper cites Parametricnet: 6dof pose estimation network for parametric shapes in stacked scenarios,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Parametricnet: 6dof pose estimation network for parametric shapes in stacked scenarios,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.947801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c60febb6-a3c8-438f-945c-ce1322d36f73 · outbound

This paper cites Robot suction region prediction method from knowledge to learning in disordered manufacturing scenarios,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Robot suction region prediction method from knowledge to learning in disordered manufacturing scenarios,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.932278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba858621-ecd1-4e74-9c12-f072d822a1da · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Denoising diffusion probabilistic models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.624600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e227665-340a-4fc7-af99-8d48baea105a · outbound

This paper cites Generative adversarial nets,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Generative adversarial nets,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.628764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f58eb4-5b85-455e-a91e-85706c4d5f90 · outbound

This paper cites Auto-Encoding Variational Bayes.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Auto-Encoding Variational Bayes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.633195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4a0160-f49b-405c-99df-0867aa42521d · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.637599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe49f2ee-831e-40c6-8646-15a59eee0164 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Generative modeling by estimating gradients of the data distribution,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.642397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff81abf5-a715-4085-88c8-632d1ccd8f00 · outbound

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

Diffusion Suction Grasping with Large-Scale Parcel Dataset Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.647118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456aad45-48a9-4d3d-9e36-ba855be90d81 · outbound

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

Diffusion Suction Grasping with Large-Scale Parcel Dataset Dynamic graph cnn for learning on point clouds,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.652227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ccadf6-ceba-4ab6-af9a-28b3c0d6a453 · outbound

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

Diffusion Suction Grasping with Large-Scale Parcel Dataset Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.657197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d45ed6e-b4a6-4613-be34-5372052fd8a8 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.662139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18ff9c0-fc49-4a45-b40c-2e2741c617fb · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Open3D: A Modern Library for 3D Data Processing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.666546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64170a21-5a1d-40c5-a096-0c702acc57ac · outbound

This paper cites Cbam: Convolutional block attention module,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Cbam: Convolutional block attention module,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.672077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f07b9161-6770-4efd-af73-5593743eaf4b · outbound

This paper cites Deep residual learning for image recognition,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Deep residual learning for image recognition,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T13:26:00.676659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a936ddf5-a383-445b-8aa6-5c458252216f · outbound

This paper cites A generalist framework for panoptic segmentation of images and videos,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset A generalist framework for panoptic segmentation of images and videos,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.828711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae54a0a8-021f-43ad-85a3-d45852c6b0b5 · outbound

This paper cites Dex- net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,.

Diffusion Suction Grasping with Large-Scale Parcel Dataset Dex- net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:26:00.813300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.