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Paper Citation Record · LEDGER

Equivariant Volumetric Grasping

As of 4 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.18847.

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

pith.paper-citation-record.v1
2507.18847 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T02:02:21.221989Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:56:35.187333Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact11
  • verified fuzzy35
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 098f9981-4d04-4ca0-8b00-023bc1f8a64e · outbound

This paper cites V olumetric grasping network: Real-time 6 dof grasp detection in clutter.

Equivariant Volumetric Grasping V olumetric grasping network: Real-time 6 dof grasp detection in clutter

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.825632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:1b7ff0719c1bf8e103180da89b75945cd37f13d1d361fef5d535c7650327b240

Observation 965a1dbf-e75c-4b38-b8f9-3eb91054d956 · outbound

This paper cites Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping.

Equivariant Volumetric Grasping Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.822995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:0fe3079949b62534e452666149ee59561a06d536a0d0e2bb5c3ce2e11a8529a4

Observation ae05fc8f-9778-4ed4-9863-570de3983a0e · outbound

This paper cites Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations.

Equivariant Volumetric Grasping Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Reference 3

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verified exact
arxiv_id, observed 2026-05-19T02:02:55.756780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 351a490f-e8f3-4824-b104-8dd972728685 · outbound

This paper cites Efficient end-to-end detection of 6-dof grasps for robotic bin picking.

Equivariant Volumetric Grasping Efficient end-to-end detection of 6-dof grasps for robotic bin picking

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.871577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:fffa2aae6d01b3dbc17797b5177bf645fffc026caee98e7da2d471b781ec5687

Observation 1517db2d-1738-4c73-b6a6-74f380f78892 · outbound

This paper cites Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering.

Equivariant Volumetric Grasping Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering

Reference 5

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verified exact
arxiv_id, observed 2026-05-19T02:02:55.774168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:00efbb354ff926940877d71112dea693d3ad7ad18afd7826b9702155d288902b

Observation b5db4fc5-f844-4bd9-9d1d-b91d5b577981 · outbound

This paper cites OrbitGrasp: $SE(3)$-Equivariant Grasp Learning.

Equivariant Volumetric Grasping OrbitGrasp: $SE(3)$-Equivariant Grasp Learning

Reference 6

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arxiv_id, observed 2026-05-19T02:02:55.754376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:1dde91e8a6a4d38f92a9ebf30ec1e14db78c1b62ae8b75f3d79fa98aea2ce23b

Observation 425657d7-41d0-410b-ae03-28263c9287d5 · outbound

This paper cites Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation.

Equivariant Volumetric Grasping Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation

Reference 7

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arxiv_id, observed 2026-05-19T02:02:55.791973Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:3bb1beaa030597e05f5b10c31a71b01168517089d00c1387098fe9f08638fe9f

Observation 110802f1-9b0c-45da-b220-a0654e7afabf · outbound

This paper cites Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning.

Equivariant Volumetric Grasping Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning

Reference 8

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arxiv_id, observed 2026-05-19T02:02:55.746036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:4311340caa331cadc41cfced6b1dfde1a5f02892abfccfc5ec93e5f3aef8cfd7

Observation 9a1805c5-8087-4330-87b4-71b42a8e742c · outbound

This paper cites Diffusion for multi-embodiment grasping.

Equivariant Volumetric Grasping Diffusion for multi-embodiment grasping

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.908158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:7078ca235de6ed81981848d7d4795a0e2e256ee1156937010610a8f8b87f7212

Observation c7141dfd-fdf8-4522-9f64-b3c5e8ed0eb7 · outbound

This paper cites Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics.

Equivariant Volumetric Grasping Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics

Reference 10

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verified exact
arxiv_id, observed 2026-05-19T02:02:55.763364Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:66759e8e91b0ebe3f01bf259df1661502c059832293a6ca0e302e61ad1a34a2e

Observation b1caa8b8-5a19-4ab0-bfd2-67dcf24c8567 · outbound

This paper cites Graspness discovery in clutters for fast and accurate grasp detection.

Equivariant Volumetric Grasping Graspness discovery in clutters for fast and accurate grasp detection

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.907679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:959e45ed0cdfdbf50a4946e9fcd1c44bc48044ff8c675b5bc1f4d9146d493eec

Observation 14c912d2-8b8b-45f3-8ff7-a836c62a3d71 · outbound

This paper cites Graspnet-1billion: A large- scale benchmark for general object grasping.

Equivariant Volumetric Grasping Graspnet-1billion: A large- scale benchmark for general object grasping

Reference 12

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verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.903021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:21e6bdd821abf1a7715097d55306cdf0f6772194960a0204f0d225cc6af25fb4

Observation 560d50e8-eb05-4da9-a9b9-be7520c80009 · outbound

This paper cites Edge grasp network: A graph-based se (3)-invariant approach to grasp detection.

Equivariant Volumetric Grasping Edge grasp network: A graph-based se (3)-invariant approach to grasp detection

Reference 13

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raw_fallback, observed 2026-05-19T02:02:55.910795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:8fa0f7ada6778b0ac54b31a622888c982f6b9260e4adb1a58aeeca0858bb5937

Observation 192fbd0a-8298-46a5-b8bd-33ab3bcb0026 · outbound

This paper cites S4g: Amodal single-view single-shot se (3) grasp detection in cluttered scenes.

Equivariant Volumetric Grasping S4g: Amodal single-view single-shot se (3) grasp detection in cluttered scenes

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.853796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:45aafb31164e165711bfed905f54828d03fbbd7480527ac5b6d9a4c02cd1a413

Observation 3ea61936-1f8c-4594-8616-d51bad502216 · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.

Equivariant Volumetric Grasping Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

Reference 15

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raw_fallback, observed 2026-05-19T02:02:55.803138Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:2c8c801a8f283c630a01271a474f5d705f4cd216a98ce1794fb9e536d315a963

Observation 063007a3-db55-4e61-a87b-6f35848fea3c · outbound

This paper cites 6-dof graspnet: Variational grasp generation for object manipulation.

Equivariant Volumetric Grasping 6-dof graspnet: Variational grasp generation for object manipulation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.868591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:db9ceb0802abfcd72f81cff2ed13206d6b1e9df473dc26aa8dacdf64882fe076

Observation 72f6389f-b0a2-4b7a-bda3-44b2fdace2bf · outbound

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

Equivariant Volumetric Grasping Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 17

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raw_fallback, observed 2026-05-19T02:02:55.905596Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 776c4c0d-3709-4e8a-9c25-0fc6055d56cc · outbound

This paper cites Vector neurons: A general framework for so (3)-equivariant networks.

Equivariant Volumetric Grasping Vector neurons: A general framework for so (3)-equivariant networks

Reference 18

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raw_fallback, observed 2026-05-19T02:02:55.864734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:d0f2819ef6f94072a91bcc521547ff2e1ee5872e383814508b1ce99141026d84

Observation cedae22a-9f7a-410c-a321-078cd2e1d68c · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Equivariant Volumetric Grasping Point transformer v3: Simpler faster stronger

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.881055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:43250af445ef36ecc3fb6381c2fcb3def828367a8ecb659b4c71241a2388a77a

Observation 1148d77b-29e3-41fe-9d91-6a17ded4d168 · outbound

This paper cites Icgnet: a unified approach for instance-centric grasping.

Equivariant Volumetric Grasping Icgnet: a unified approach for instance-centric grasping

Reference 20

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raw_fallback, observed 2026-05-19T02:02:55.899042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:fdd85ea26f6d1633186d92fa74fa9711bc179509601abe6b95551732b29b18dd

Observation 554b836e-ceb0-4104-b4b6-2216d2067fa3 · outbound

This paper cites Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes.

Equivariant Volumetric Grasping Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.897563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:2dd96c7e8375b12874e1b5753acb2b31e72f24763932c415d05f302654cf2610

Observation 8c66423f-51f9-4818-90d0-41acdac6d4d1 · outbound

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

Equivariant Volumetric Grasping 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 22

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raw_fallback, observed 2026-05-19T02:02:55.837116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:411d24bdfd66e0f9d27ae7a8aac07cf9a8e5a8ae35a19ad4224ca59b49b2e6be

Observation f3f04f8d-c47d-43d5-bd75-33044a2b5b20 · outbound

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

Equivariant Volumetric Grasping Point-voxel cnn for efficient 3d deep learning

Reference 23

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raw_fallback, observed 2026-05-19T02:02:55.819838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:97901d61862bc065d5eab4db49b0f0c7980c3c149e06e9992394457fd3973215

Observation 2b29ba85-db3f-4dcd-8eb3-9256387e7022 · outbound

This paper cites Con- volutional occupancy networks.

Equivariant Volumetric Grasping Con- volutional occupancy networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.868246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:4d818d78995f5331bb9a71f28a41bead5819812e5b8a5b3a7f6fc49ba78bd9a8

Observation b0b40323-83d0-4f9c-99fa-cbe179526294 · outbound

This paper cites Steerable CNNs.

Equivariant Volumetric Grasping Steerable CNNs

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:02:55.768249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:268ee322bb1157254e5b862757f14d5602fec4467defd8fb99398073f14af344

Observation 8fd35a03-209d-4e60-83f0-061a59ac0644 · outbound

This paper cites Equivariant 𝑞 learning in spatial action spaces.

Equivariant Volumetric Grasping Equivariant 𝑞 learning in spatial action spaces

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.894554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:c19727c06b733b542e8ee621180664b79ffec17d96b19a9c8b95a4c8612da792

Observation 1d4dce9d-35b2-4e6b-bfba-ed1cb11e456c · outbound

This paper cites On robot grasp learning using equivariant models.

Equivariant Volumetric Grasping On robot grasp learning using equivariant models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.900719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:d57c5f8882457607a56fb4dac53af79cc49f402fb93524449c4a08b5529aab35

Observation b5e76e45-db24-4ae5-8c23-9ee03bbc52a2 · outbound

This paper cites A program to build e (n)-equivariant steerable cnns.

Equivariant Volumetric Grasping A program to build e (n)-equivariant steerable cnns

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.851360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:731abf568ca51a39065cb7f39eedc3300f920c3d0c523b97508a48fed3a2877b

Observation a163296a-7f8e-4a14-9022-18dd046d594b · outbound

This paper cites Equigraspflow: Se (3)- equivariant 6-dof grasp pose generative flows.

Equivariant Volumetric Grasping Equigraspflow: Se (3)- equivariant 6-dof grasp pose generative flows

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.865278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:7e75d921bc7ab005cd686162d361eacb2aaaeba1536f7929446b213d6644fee2

Observation a51fc627-0503-4fcf-a10a-ccc071641dc1 · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

Equivariant Volumetric Grasping Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.894197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:a62311f97e8f90acd6c6c02d33f32cd5f8a445895425f2c04b15341d53bd07f4

Observation ac3a581e-16ad-47cc-80d9-267fa3213ab6 · outbound

This paper cites Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.

Equivariant Volumetric Grasping Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:02:55.780280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:8cb6f7c5e632e69e6fad81c09b1364f4eb9ff6904e47d4794a635166dc3c107c

Observation 4f42e86f-1e64-45e7-b71e-0a094bfbe803 · outbound

This paper cites EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.

Equivariant Volumetric Grasping EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:02:55.795895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:5bbc602fca1bd8419b666dbb1c64786f53a8606090de7d1fb75d01970db7b4b1

Observation 42ebbc2d-5b9e-4760-a1ab-149bbcaa44f1 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Equivariant Volumetric Grasping Diffusion models beat gans on image synthesis

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.903391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:0938c318299ca79c4e577ec616b54d5fbdaa267cd14f3d164874320a0202f85a

Observation 80f994aa-cfc1-44a7-9133-76797211a0d8 · outbound

This paper cites Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks.

Equivariant Volumetric Grasping Equivariant and coordinate independent convolutional networks: A gauge field theory of neural networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.839987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1b6c982a-4c49-4eff-bb35-5eb0fdc84566 · outbound

This paper cites Equivariant diffusion policy.

Equivariant Volumetric Grasping Equivariant diffusion policy

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.886207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 65b1c70c-8703-4ea8-aac2-ddef03362b7b · outbound

This paper cites Deformable convolutional networks.

Equivariant Volumetric Grasping Deformable convolutional networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.856325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d4d156c9-3ad3-475e-ab13-5b552d47d518 · outbound

This paper cites Deformable convnets v2: More deformable, better results.

Equivariant Volumetric Grasping Deformable convnets v2: More deformable, better results

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.911216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b17d3696-3ae2-487b-b1cb-d699a38d9662 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Equivariant Volumetric Grasping Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:02:55.788198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9529b24a-8fba-49d9-a19b-ef67e131ce4f · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research.

Equivariant Volumetric Grasping The ycb object and model set: Towards common benchmarks for manipulation research

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.877127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:322cc71439ed720e16537a1a262d3f60620a2f979f31280ed9796180e931b4d5

Observation 2ef4e887-2b51-4661-a6b9-06a431c675dc · outbound

This paper cites Leveraging big data for grasp planning.

Equivariant Volumetric Grasping Leveraging big data for grasp planning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.876274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:6572eb8691b1654d80e5b96233f71c761b30c66f1e5f22dc21a05159f4f23c4f

Observation 1f074fcf-7a19-4a9b-b317-347133dde051 · outbound

This paper cites The kit object models database: An object model database for object recognition, localization and manipulation in service robotics.

Equivariant Volumetric Grasping The kit object models database: An object model database for object recognition, localization and manipulation in service robotics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.871329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:67348b4bfb490ef07d34105a91cec14cf60a5786dac57e3ba3d00a5c4a5514d0

Observation ccfcbd54-273b-47b7-ab53-b77c8460fbf0 · outbound

This paper cites Bigbird: A large-scale 3d database of object instances.

Equivariant Volumetric Grasping Bigbird: A large-scale 3d database of object instances

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.862363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:db945fce51268bb45762074d567bf5dd4e03fd688a104b560099a611abaaf703

Observation 98e3938d-d792-4781-89c5-d4652325f303 · outbound

This paper cites Learning ambidextrous robot grasping policies.

Equivariant Volumetric Grasping Learning ambidextrous robot grasping policies

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.812745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:2fbbc573e05c59eb8673fa06ab6c0655cb1dfc961ae02398c02f8192108d1267

Observation e24874c5-49be-46a1-8c93-7829b41c48dc · outbound

This paper cites Grasp pose detection in point clouds.

Equivariant Volumetric Grasping Grasp pose detection in point clouds

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.873789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:43c65ddd57ddd015adf27432ca32665bfd586be7b95e6ab529d90d6838aad4b4

Observation 9225042a-ce38-4efa-ad32-fc492baea8e4 · outbound

This paper cites Pointnetgpd: Detecting grasp configurations from point sets.

Equivariant Volumetric Grasping Pointnetgpd: Detecting grasp configurations from point sets

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T02:02:55.889768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:c0a6b5d72736625812a0ee27c020c6c37928609aed7dc6080213c2c93ee0a793

Observation edd712a0-3902-4e12-8850-f57a405d4a1f · outbound

This paper cites Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies.

Equivariant Volumetric Grasping Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:02:55.784555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T02:02:21.221989Z digest=sha256:fc3fc56e4221615371f15679287ab562afbbdf61ee1ae9855197d7a00b5c4487

Pith citing papers

Observation 34a268c2-9969-4c20-8daf-5b78b52d04ce · inbound

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation cites this paper.

Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation Equivariant Volumetric Grasping

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-13T03:56:35.187333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:56:35.187333Z digest=sha256:26985ed3ecf58bf3f5ce79a4e8b2bf2b3bd74869c018c16678aaede388ad0de2