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Paper Citation Record · LEDGER

Geometric Point Attention Transformer for 3D Shape Reassembly

As of 17 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2411.17788.

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

pith.paper-citation-record.v1
2411.17788 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:05:54.592216Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:45:10.561177Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved14
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 402820d2-dedc-4d76-acbd-faeb154b4854 · outbound

This paper cites GPT-4 Technical Report.

Geometric Point Attention Transformer for 3D Shape Reassembly GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d68eea7e-8586-4654-8554-b2900bd4a554 · outbound

This paper cites Neural shape mating: Self-supervised object assembly with adversarial shape priors.

Geometric Point Attention Transformer for 3D Shape Reassembly Neural shape mating: Self-supervised object assembly with adversarial shape priors

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9df4a0db-450f-45ab-add4-cb302bfbacb8 · outbound

This paper cites Score-PA: Score-based 3D Part Assembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Score-PA: Score-based 3D Part Assembly

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:05:54.812846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5fa7e711-25df-4420-bf0d-68efd4f339a4 · outbound

This paper cites Virtual re- construction of archeological vessels using expert priors and intrinsic differential geometry information.

Geometric Point Attention Transformer for 3D Shape Reassembly Virtual re- construction of archeological vessels using expert priors and intrinsic differential geometry information

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.461260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7226d37b-5d42-4638-addb-ce088dc2fffe · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Vector neu- rons: A general framework for so (3)-equivariant networks

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 218242b6-b88a-48c0-86b9-971143435e7c · outbound

This paper cites Ppfnet: Global context aware local features for robust 3d point matching.

Geometric Point Attention Transformer for 3D Shape Reassembly Ppfnet: Global context aware local features for robust 3d point matching

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c1e8cd9c-5daa-4d18-b036-aa698d546833 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Geometric Point Attention Transformer for 3D Shape Reassembly An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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no resolver link, observed 2026-08-12T12:05:54.376227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:05:54.376227Z digest=sha256:e05b80a3a8cf28039d416b1dde38a3f3071854b24b9c2c2aecb70288597d424d

Observation 03c11bce-58c5-4aa6-b043-8db17444169b · outbound

This paper cites Learning how to match fresco fragments.

Geometric Point Attention Transformer for 3D Shape Reassembly Learning how to match fresco fragments

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.415559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 198c9d51-44e4-4137-8222-bd8704195052 · outbound

This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

Geometric Point Attention Transformer for 3D Shape Reassembly Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.386889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:05:54.386889Z digest=sha256:b1202d9842b07b4b6f879b94a5222efcaba041a1ff9d501b22577cac9a7444af

Observation 15d2fcde-6e62-4a34-888e-cabdc0a20658 · outbound

This paper cites Directional Message Passing for Molecular Graphs.

Geometric Point Attention Transformer for 3D Shape Reassembly Directional Message Passing for Molecular Graphs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.391942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:05:54.391942Z digest=sha256:776d3b207d0dc7a29b46bdc860103bdcc2f2370fe9930a067747469d58f39a73

Observation 60ef90bb-7d37-4bb1-9abb-a830bbc07579 · outbound

This paper cites Reassembling fractured ob- jects by geometric matching.

Geometric Point Attention Transformer for 3D Shape Reassembly Reassembling fractured ob- jects by geometric matching

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.399362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cc44a363-6b72-4e4f-917d-72fb8df770ab · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Predator: Registration of 3d point clouds with low overlap

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.402534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8e40ef81-1584-4d56-863f-b121d8cfa9eb · outbound

This paper cites 9 Highly accurate protein structure prediction with alphafold.

Geometric Point Attention Transformer for 3D Shape Reassembly 9 Highly accurate protein structure prediction with alphafold

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.373724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fdae1119-d9fd-4205-9c34-da65312aa1b8 · outbound

This paper cites 3D Geometric Shape Assembly via Efficient Point Cloud Matching.

Geometric Point Attention Transformer for 3D Shape Reassembly 3D Geometric Shape Assembly via Efficient Point Cloud Matching

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.413270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:05:54.413270Z digest=sha256:406449eaa4d7fd4470dab5e9fbb0c292f0292c878d101c2964013a9a8a08fdf6

Observation 601c3c0e-fdfc-4303-b023-e3d0e52f0b54 · outbound

This paper cites Orientation-aware graph neural networks for protein struc- ture representation learning.

Geometric Point Attention Transformer for 3D Shape Reassembly Orientation-aware graph neural networks for protein struc- ture representation learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.358980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.418675Z digest=sha256:a0f6aa9fdbf5f2f21d4fd3aa2cabee5af0636f388f9052450ab9fc96198c2cf6

Observation 1ed9c0cd-18bc-4370-8f08-c016f398da95 · outbound

This paper cites Learning 3d part assembly from a sin- gle image.

Geometric Point Attention Transformer for 3D Shape Reassembly Learning 3d part assembly from a sin- gle image

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.344325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 238e58c6-87c0-42a9-9e06-184f60c22c60 · outbound

This paper cites Category-level multi-part multi-joint 3d shape assembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Category-level multi-part multi-joint 3d shape assembly

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.329466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 233e465d-ab6f-4cd3-b91c-dae2afdbdba5 · outbound

This paper cites Jigsaw++: Imag- ining complete shape priors for object reassembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Jigsaw++: Imag- ining complete shape priors for object reassembly

Reference 18

Resolution
verified exact
raw_fallback, observed 2026-08-12T12:05:54.730558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a532c80f-c31f-483b-992d-ab1c18323a2b · outbound

This paper cites Jigsaw: Learning to assemble multiple fractured objects.

Geometric Point Attention Transformer for 3D Shape Reassembly Jigsaw: Learning to assemble multiple fractured objects

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.312778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.436902Z digest=sha256:bfba013d264fdcca0bf2da12118b73505a8acc08dd1165ce7e282ea1844b46b8

Observation 101f3cf6-039a-4ec8-810e-35c0b35554e5 · outbound

This paper cites Equivariant point cloud analysis via learning orientations for message passing.

Geometric Point Attention Transformer for 3D Shape Reassembly Equivariant point cloud analysis via learning orientations for message passing

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.296965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.441385Z digest=sha256:61a9d8e1a3ccb41aa587c67200c7a3f4dc6b430b115bbf08d378613cbc05008d

Observation 296e7a1e-df17-4fab-a2ee-8eefe3a8b7eb · outbound

This paper cites Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

Geometric Point Attention Transformer for 3D Shape Reassembly Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.281780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.446523Z digest=sha256:2bf20fcd0a5d8ea1f2b975c4d05a99ac1749fa16ecb9a3cc8d370d3944824bcb

Observation 6992ef19-ecfa-408c-b47b-bbe12248986c · outbound

This paper cites Rgl-net: A recurrent graph learning framework for progressive part assembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Rgl-net: A recurrent graph learning framework for progressive part assembly

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.266772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9f1b87a9-10e3-495d-b306-ee972c45fa3c · outbound

This paper cites Multiple-solutions ransac for finding axes of symmetry in fragments of objects.

Geometric Point Attention Transformer for 3D Shape Reassembly Multiple-solutions ransac for finding axes of symmetry in fragments of objects

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.251635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5fba41e0-d576-4ee9-8ade-3c67f89b6f44 · outbound

This paper cites On the automatic assemblage of arbitrary broken solid arte- facts.

Geometric Point Attention Transformer for 3D Shape Reassembly On the automatic assemblage of arbitrary broken solid arte- facts

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.236066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8307abc4-eac5-4a70-a9a7-d6d6729f7e01 · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.464951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:05:54.464951Z digest=sha256:fd0fe066398f1e227d7443fb6cb27ccbcf20299ab71480c1cf8f9724ab91aa07

Observation 5f179974-5006-4a02-a0aa-600691aeae61 · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T12:05:54.469574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6bd3ba22-ed10-4aae-93e6-f8962f0327d5 · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Geometric transformer for fast and robust point cloud registration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.201281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ce97fee0-885a-4f19-a021-e6d6b46a55e0 · outbound

This paper cites Diffassemble: A uni- fied graph-diffusion model for 2d and 3d reassembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Diffassemble: A uni- fied graph-diffusion model for 2d and 3d reassembly

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.186114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ba4ce4a6-9f0d-41c2-b5f3-f4169a20bf07 · outbound

This paper cites Componet: Learning to generate the unseen by part syn- thesis and composition.

Geometric Point Attention Transformer for 3D Shape Reassembly Componet: Learning to generate the unseen by part syn- thesis and composition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.171334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.483795Z digest=sha256:2b3b624682fb1ba527ba53b4e5d94d4c9c18c08e008b421a087e52d9a693ef0b

Observation 5d833d1a-3960-4b85-b6ce-f4d3043ae07e · outbound

This paper cites Bidirectional recurrent neural networks.

Geometric Point Attention Transformer for 3D Shape Reassembly Bidirectional recurrent neural networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.156007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.488636Z digest=sha256:6e8fb0e201c6dbab216cf31b33a6722d8787a828921bce81e9e267f7501c53af

Observation 064c6b29-5655-413a-b69b-452f1c8e5617 · outbound

This paper cites Schnet: A continuous-filter con- volutional neural network for modeling quantum interac- tions.

Geometric Point Attention Transformer for 3D Shape Reassembly Schnet: A continuous-filter con- volutional neural network for modeling quantum interac- tions

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.139193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.493318Z digest=sha256:40fcafcbbc4d35cd739e7b4c99e4e7496f0e4fc02aa8a74628bd9ecc2a21addf

Observation fc7a3623-2c12-400b-94ef-abdb2bf26f8c · outbound

This paper cites Breaking bad: A dataset for geometric frac- ture and reassembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Breaking bad: A dataset for geometric frac- ture and reassembly

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.122395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.497938Z digest=sha256:feb9bafecd33241e239c9f030adc5864b704386a2f5f778d2d4d94c8ef9d5881

Observation 655e9ee7-e19e-4383-a94b-fe45568a0da9 · outbound

This paper cites Complementme: Weakly- supervised component suggestions for 3d modeling.

Geometric Point Attention Transformer for 3D Shape Reassembly Complementme: Weakly- supervised component suggestions for 3d modeling

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.106962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.502613Z digest=sha256:b10eadbff9ce254e5d7500e58fc0e25f58cd8107a48fef0d01ccc15cbc65dbcf

Observation ec387e8a-419c-4f67-9bce-c067f598b2aa · outbound

This paper cites As- semble them all: Physics-based planning for generalizable assembly by disassembly.

Geometric Point Attention Transformer for 3D Shape Reassembly As- semble them all: Physics-based planning for generalizable assembly by disassembly

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.091866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:05:54.507181Z digest=sha256:941a5d727e22f7732838dca28a39ce18d7fcc2be473e00ecf43aa24d0ac1feec

Observation 212bb84e-d534-40c7-b7d7-57cc237ebe47 · outbound

This paper cites Multi- feature matching of fresco fragments.

Geometric Point Attention Transformer for 3D Shape Reassembly Multi- feature matching of fresco fragments

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:05:55.076223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bf2ed41e-840e-4e2a-b5e4-dad0e9258034 · outbound

This paper cites Attention is all you need.

Geometric Point Attention Transformer for 3D Shape Reassembly Attention is all you need

Reference 36

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Observation e0ab181b-3c04-4af4-a093-c180d049500d · outbound

This paper cites Deep closest point: Learn- ing representations for point cloud registration.

Geometric Point Attention Transformer for 3D Shape Reassembly Deep closest point: Learn- ing representations for point cloud registration

Reference 37

Resolution
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Observation b0411fa0-4210-4d71-ad8b-a353c4b051d2 · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Dynamic graph cnn for learning on point clouds

Reference 38

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Observation 5fd7fec8-c159-4b5f-ae1c-f50ed62142bb · outbound

This paper cites Pq-net: A generative part seq2seq network for 3d shapes.

Geometric Point Attention Transformer for 3D Shape Reassembly Pq-net: A generative part seq2seq network for 3d shapes

Reference 39

Resolution
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Observation b1503f55-ae79-4059-9f81-0150da97cc74 · outbound

This paper cites Leveraging se (3) equivariance for learning 3d ge- ometric shape assembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Leveraging se (3) equivariance for learning 3d ge- ometric shape assembly

Reference 40

Resolution
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Observation 9480a2b0-2685-436a-b653-b40affeb66f2 · outbound

This paper cites Modeling point clouds with self-attention and gumbel subset sampling.

Geometric Point Attention Transformer for 3D Shape Reassembly Modeling point clouds with self-attention and gumbel subset sampling

Reference 41

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Observation 36af4696-1b52-4668-a0b3-79c05fe00f1c · outbound

This paper cites An automatic assembly and completion framework for fragmented skulls.

Geometric Point Attention Transformer for 3D Shape Reassembly An automatic assembly and completion framework for fragmented skulls

Reference 42

Resolution
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Source-reported events for the cited work

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Observation ae4cdc91-f40f-4c59-9a1c-b12ad0515096 · outbound

This paper cites Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration.

Geometric Point Attention Transformer for 3D Shape Reassembly Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration

Reference 43

Resolution
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Observation 524dcdde-8bb7-46bc-94d7-26c5ed5a6e38 · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Rotation-invariant transformer for point cloud matching

Reference 44

Resolution
verified fuzzy
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Observation 22b6051c-7ba7-42fd-b0ff-8a621927e45f · outbound

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

Geometric Point Attention Transformer for 3D Shape Reassembly Pointr: Diverse point cloud comple- tion with geometry-aware transformers

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 66f9b172-76c2-4bba-842a-7bb02d698a28 · outbound

This paper cites Form2fit: Learning shape priors for generalizable assem- bly from disassembly.

Geometric Point Attention Transformer for 3D Shape Reassembly Form2fit: Learning shape priors for generalizable assem- bly from disassembly

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 19a9aec4-2b97-41aa-abd6-22714ecba5c0 · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipu- lation.

Geometric Point Attention Transformer for 3D Shape Reassembly Transporter networks: Rearranging the visual world for robotic manipu- lation

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 70e0512c-d0c3-4168-b375-1bd1040bdc88 · outbound

This paper cites Genera- tive 3d part assembly via dynamic graph learning.

Geometric Point Attention Transformer for 3D Shape Reassembly Genera- tive 3d part assembly via dynamic graph learning

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 384b32cf-379a-4b80-9ee6-1f5f8f87d84d · outbound

This paper cites Point transformer.

Geometric Point Attention Transformer for 3D Shape Reassembly Point transformer

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cdeb78c7-c7b3-47ec-aa3f-ba88fb9c92a4 · outbound

This paper cites 6.1), baseline specifications (Sec.

Geometric Point Attention Transformer for 3D Shape Reassembly 6.1), baseline specifications (Sec

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ec92e86a-6aa2-4d21-92b9-eff6b3453c45 · outbound

This paper cites (36) 6.4.

Geometric Point Attention Transformer for 3D Shape Reassembly (36) 6.4

Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a122f7e-85f9-424a-a4b2-4ab46003d82f · outbound

This paper cites an unresolved cited work.

Geometric Point Attention Transformer for 3D Shape Reassembly Unresolved cited work

Reference 52

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

Observation 23e49722-268e-44a5-833f-09bc7881662b · inbound

SARe: Structure-Aware Generative 3D Fragment Reassembly cites this paper.

SARe: Structure-Aware Generative 3D Fragment Reassembly Geometric Point Attention Transformer for 3D Shape Reassembly

Reference 19

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Source-reported events for the cited work

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