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Paper Citation Record · LEDGER

FUSE: A Flow-based Mapping Between Shapes

As of 19 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2511.13431.

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

pith.paper-citation-record.v1
2511.13431 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:52:40.726839Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:58:09.450053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.225652Z

Reference resolution

58 of 58 outbound references displayed

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  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 142a58e6-b4a8-42f2-99f3-4426644ef09d · outbound

This paper cites Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix.

FUSE: A Flow-based Mapping Between Shapes Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix

Reference 1

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Observation f5f5e8fd-d8f2-4409-8ad8-f4cafb2e4efc · outbound

This paper cites The wave kernel signature: A quantum mechanical approach to shape analysis.

FUSE: A Flow-based Mapping Between Shapes The wave kernel signature: A quantum mechanical approach to shape analysis

Reference 2

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source=pdf_text observed=2026-08-03T21:52:37.954788Z digest=sha256:0c87144dd4672bd211d280ee43a0c3d58ce48f6def0ecc26104af3d48a200cda

Observation 41119aa3-4f0d-41ff-998a-dd7bcd168f90 · outbound

This paper cites Implicit-arap: Efficient handle-guided deformation of high-resolution meshes and neural fields via local patch meshing, 2024.

FUSE: A Flow-based Mapping Between Shapes Implicit-arap: Efficient handle-guided deformation of high-resolution meshes and neural fields via local patch meshing, 2024

Reference 3

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source=pdf_text observed=2026-08-03T21:52:37.984569Z digest=sha256:ed311df466019659a50971e3774bce1942081875382ff7bc04735c0109dbebd4

Observation 6c697f5c-74f8-49c5-892e-fd7aee788093 · outbound

This paper cites Hybrid functional maps for crease-aware non- isometric shape matching, 2024.

FUSE: A Flow-based Mapping Between Shapes Hybrid functional maps for crease-aware non- isometric shape matching, 2024

Reference 4

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source=pdf_text observed=2026-08-03T21:52:38.069591Z digest=sha256:09a91140904c22e78817ae58a00b86949284f9cea326bdbde449f1a81d0132c8

Observation 49edefe2-2bbf-4164-8c95-5139e21e5945 · outbound

This paper cites Behave: Dataset and method for tracking human object inter- actions.

FUSE: A Flow-based Mapping Between Shapes Behave: Dataset and method for tracking human object inter- actions

Reference 5

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source=pdf_text observed=2026-08-03T21:52:38.139849Z digest=sha256:0a4d5068c8d0bbd74fa4d8a4c445cccbba3958b2d83ab3594c0d983bb079c07a

Observation f45dac35-7b01-4acc-98a8-9721f9b6578b · outbound

This paper cites Faust: Dataset and evaluation for 3d mesh registration.

FUSE: A Flow-based Mapping Between Shapes Faust: Dataset and evaluation for 3d mesh registration

Reference 6

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source=pdf_text observed=2026-08-03T21:52:38.180317Z digest=sha256:e2ced0a749f2e6d1eb21ae07238a684cd693c6b7b16810bb127457d44cb80f76

Observation c844f8f4-7fc8-44e1-b9b5-f15e3e638298 · outbound

This paper cites Learning class-specific descriptors for deformable shapes us- ing localized spectral convolutional networks.Computer Graphics Forum, 34(5):13–23, 2015.

FUSE: A Flow-based Mapping Between Shapes Learning class-specific descriptors for deformable shapes us- ing localized spectral convolutional networks.Computer Graphics Forum, 34(5):13–23, 2015

Reference 7

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source=pdf_text observed=2026-08-03T21:52:38.252016Z digest=sha256:ad75ac27c43b1a097de393cd56be3f4bc0f4396432fe001464abb5a50e81987e

Observation 90688f05-4d07-4b00-9cca-96705726cf57 · outbound

This paper cites Unsu- pervised learning of robust spectral shape matching.ACM Trans.

FUSE: A Flow-based Mapping Between Shapes Unsu- pervised learning of robust spectral shape matching.ACM Trans

Reference 8

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source=pdf_text observed=2026-08-03T21:52:38.312840Z digest=sha256:1d7f5cde01d8db8dfb6fc1f3bf5ba1f4f14ac909e102e8f8241d93a3a9944fa3

Observation 2c357367-7f7a-45e4-b1ba-db5173c3beca · outbound

This paper cites Spectral meets spatial: Harmonising 3d shape matching and interpolation, 2024.

FUSE: A Flow-based Mapping Between Shapes Spectral meets spatial: Harmonising 3d shape matching and interpolation, 2024

Reference 9

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source=pdf_text observed=2026-08-03T21:52:38.389713Z digest=sha256:2e9b9505c77f4dda5cf90fdb0fcb332bd2140e43d71b45acc8cce1c48a060ac3

Observation 32100b44-a29f-4521-827c-5ef3117b183b · outbound

This paper cites The heat method for distance computation.Commun.

FUSE: A Flow-based Mapping Between Shapes The heat method for distance computation.Commun

Reference 10

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source=pdf_text observed=2026-08-03T21:52:38.473889Z digest=sha256:22bfa9e56b00f75abe8fd6f81b60a6878bc344836f4d264689555ad4c38c4c4b

Observation 1b30b14b-21a3-4d49-956b-8306d925afc2 · outbound

This paper cites Sinkhorn distances: lightspeed computation of optimal transport.

FUSE: A Flow-based Mapping Between Shapes Sinkhorn distances: lightspeed computation of optimal transport

Reference 11

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source=pdf_text observed=2026-08-03T21:52:38.543919Z digest=sha256:48a3c71f247d289752cfbedad6c3c79bcd27e1ae8690db34dfb32e892d935b65

Observation fa44c9de-bda6-4dcb-9d62-1bdf1311b639 · outbound

This paper cites Deep orientation-aware functional maps: Tackling symme- try issues in shape matching.CVPR, 2022.

FUSE: A Flow-based Mapping Between Shapes Deep orientation-aware functional maps: Tackling symme- try issues in shape matching.CVPR, 2022

Reference 12

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source=pdf_text observed=2026-08-03T21:52:38.608988Z digest=sha256:5df398ee4b96fbc3daf9db63efd2311a827d93472833a89acafe80c9a7028a56

Observation 51f4cadd-da2b-4971-9315-0f03ca498f36 · outbound

This paper cites an unresolved cited work.

FUSE: A Flow-based Mapping Between Shapes Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-03T21:52:38.672990Z digest=sha256:df229b2772ed855130a6417f17203ee66831b2b7e7c7c5cccec9c83d8f91773e

Observation 3b17c129-cf1c-4cfc-9356-e6e36528799b · outbound

This paper cites Dyke, Yu-Kun Lai, Paul L.

FUSE: A Flow-based Mapping Between Shapes Dyke, Yu-Kun Lai, Paul L

Reference 14

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Observation 58b899a2-83e6-4992-be18-edf3d4cc3015 · outbound

This paper cites Neuromorph: Unsupervised shape interpola- tion and correspondence in one go, 2021.

FUSE: A Flow-based Mapping Between Shapes Neuromorph: Unsupervised shape interpola- tion and correspondence in one go, 2021

Reference 15

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Observation 568b62ac-98eb-436f-ae9b-dd1f80ae8797 · outbound

This paper cites Diffusion models and gaussian flow matching: Two sides of the same coin.

FUSE: A Flow-based Mapping Between Shapes Diffusion models and gaussian flow matching: Two sides of the same coin

Reference 16

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Observation 924ba0bc-f9d2-40d8-bd64-bbfe276f7cc1 · outbound

This paper cites Non-rigid shape registration via deep functional maps prior.

FUSE: A Flow-based Mapping Between Shapes Non-rigid shape registration via deep functional maps prior

Reference 17

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source=pdf_text observed=2026-08-03T21:52:38.805355Z digest=sha256:09a36a4a77eef9c87fe4d092b4ec699d4e53c07995987b8ddcc286f50c26274f

Observation 77e45e23-1295-4b78-8179-3689b5920ff8 · outbound

This paper cites Blended intrinsic maps.

FUSE: A Flow-based Mapping Between Shapes Blended intrinsic maps

Reference 18

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source=pdf_text observed=2026-08-03T21:52:38.878311Z digest=sha256:f598df0da8ea78bf8eb120d75ced100f5aa728496edcb4420f571caea455a777

Observation d88fb287-f589-4396-8fc1-fd6a9e5b783d · outbound

This paper cites Intrinsic neural fields: Learning functions on manifolds.

FUSE: A Flow-based Mapping Between Shapes Intrinsic neural fields: Learning functions on manifolds

Reference 19

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source=pdf_text observed=2026-08-03T21:52:38.976232Z digest=sha256:9fdcfe9d9c48738a193a5ce023c926f3f345d16200752c10eee1a99c8579b474

Observation ee33c56b-0fa7-43fe-ba6d-022d193e0216 · outbound

This paper cites Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning.

FUSE: A Flow-based Mapping Between Shapes Integrating efficient optimal transport and functional maps for unsupervised shape correspondence learning

Reference 20

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source=pdf_text observed=2026-08-03T21:52:39.071270Z digest=sha256:cc090f0b7b1bffe30497e87e75a9e6c118a30568575334d9e868f8771a9796a0

Observation a1c16208-e370-48ca-bc08-c205c55c811e · outbound

This paper cites Non-rigid point cloud registra- tion with neural deformation pyramid.

FUSE: A Flow-based Mapping Between Shapes Non-rigid point cloud registra- tion with neural deformation pyramid

Reference 21

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Observation b23071d5-17f8-4af8-9645-7d0f533daa4f · outbound

This paper cites Flow Matching for Generative Modeling.

FUSE: A Flow-based Mapping Between Shapes Flow Matching for Generative Modeling

Reference 22

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Observation 63d6ab45-fc79-467d-a8e4-9ed711eead75 · outbound

This paper cites Flow Matching Guide and Code.

FUSE: A Flow-based Mapping Between Shapes Flow Matching Guide and Code

Reference 23

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Observation e2737b18-1897-4590-ae01-80f9392a4453 · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

FUSE: A Flow-based Mapping Between Shapes Zero-1-to- 3: Zero-shot one image to 3d object

Reference 24

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Observation a365e833-7214-49de-95d3-14ce565372b8 · outbound

This paper cites Editing conditional radiance fields.

FUSE: A Flow-based Mapping Between Shapes Editing conditional radiance fields

Reference 25

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Observation cfdd42a1-28a5-459a-bf32-e35e02c3816c · outbound

This paper cites Semantic correspondence as an optimal transport problem.

FUSE: A Flow-based Mapping Between Shapes Semantic correspondence as an optimal transport problem

Reference 26

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Observation 115b26cb-63ed-4559-8656-379f712575cb · outbound

This paper cites Rematching: Low-resolution representations for scalable shape correspondence.

FUSE: A Flow-based Mapping Between Shapes Rematching: Low-resolution representations for scalable shape correspondence

Reference 27

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Observation 6a43648b-0252-4064-828c-2a57fd676354 · outbound

This paper cites V olu- metric functional maps, 2025.

FUSE: A Flow-based Mapping Between Shapes V olu- metric functional maps, 2025

Reference 28

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Observation 20f9daf4-f6a9-4bfe-884a-a41960980cf5 · outbound

This paper cites Smooth non-rigid shape matching via effective dirichlet energy optimization.

FUSE: A Flow-based Mapping Between Shapes Smooth non-rigid shape matching via effective dirichlet energy optimization

Reference 29

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Observation cd019e15-31f8-440e-843f-3edc4ed2380f · outbound

This paper cites CMH: Coor- dinates Manifold Harmonics for Functional Remeshing.

FUSE: A Flow-based Mapping Between Shapes CMH: Coor- dinates Manifold Harmonics for Functional Remeshing

Reference 30

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Observation fee3972c-175d-4a84-a319-06294a9de9f0 · outbound

This paper cites Correspondence learning via linearly- invariant embedding.

FUSE: A Flow-based Mapping Between Shapes Correspondence learning via linearly- invariant embedding

Reference 31

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source=pdf_text observed=2026-08-03T21:52:39.907705Z digest=sha256:621c2820a8a63ee849d8ea865283eafc0aa062943c9b9a7eb1a61f7ec24ceed8

Observation 90a194fb-353a-46c7-944c-463cc838bd99 · outbound

This paper cites Discrete time evolution process descriptor for shape analysis and matching.ACM Transactions on Graphics (TOG), 37(1):4:1–4:18, 2018.

FUSE: A Flow-based Mapping Between Shapes Discrete time evolution process descriptor for shape analysis and matching.ACM Transactions on Graphics (TOG), 37(1):4:1–4:18, 2018

Reference 32

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Observation e2083a5f-529e-4edf-b533-6f58574eaf6e · outbound

This paper cites Zoomout: Spectral upsampling for efficient shape correspondence.

FUSE: A Flow-based Mapping Between Shapes Zoomout: Spectral upsampling for efficient shape correspondence

Reference 33

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Observation 9891b225-243e-4a24-977d-8e9a01da48b4 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

FUSE: A Flow-based Mapping Between Shapes Occupancy networks: Learning 3d reconstruction in function space

Reference 34

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Observation 39810b36-5e06-4d30-9c97-6eab0e553909 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

FUSE: A Flow-based Mapping Between Shapes Srinivasan, Matthew Tancik, Jonathan T

Reference 35

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Observation 55448f1f-5a37-4dcc-beaa-ac43ec5ed059 · outbound

This paper cites Fast computation of weighted distance functions and geodesics on implicit hyper- surfaces.Journal of Computational Physics, 173(2):730– 764, 2001.

FUSE: A Flow-based Mapping Between Shapes Fast computation of weighted distance functions and geodesics on implicit hyper- surfaces.Journal of Computational Physics, 173(2):730– 764, 2001

Reference 36

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Observation 3ec917bf-a663-4d47-82ae-3c762616c4c4 · outbound

This paper cites Neural im- plicit surface evolution.

FUSE: A Flow-based Mapping Between Shapes Neural im- plicit surface evolution

Reference 37

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source=pdf_text observed=2026-08-03T21:52:40.105203Z digest=sha256:9af5177a8d7d5ff921974f91de101314244a9cf64ddef0965a46c3aa92a3fac8

Observation d710608e-367e-4799-ba77-6c35ac14fc32 · outbound

This paper cites Functional maps: a flexible representation of maps between shapes.ACM Transactions on Graphics (TOG), 31(4):30:1–30:11, 2012.

FUSE: A Flow-based Mapping Between Shapes Functional maps: a flexible representation of maps between shapes.ACM Transactions on Graphics (TOG), 31(4):30:1–30:11, 2012

Reference 38

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Observation 249f9947-d2ab-477b-b674-34ea7306eec9 · outbound

This paper cites an unresolved cited work.

FUSE: A Flow-based Mapping Between Shapes Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-03T21:52:40.165455Z digest=sha256:db3ee0a4d28d7b6c08fc0817f2383267a896cbc144c5238b87879f7aa15f6f3c

Observation 8be76be9-20e7-4dca-a473-193f3662fb28 · outbound

This paper cites Brunton, and J.

FUSE: A Flow-based Mapping Between Shapes Brunton, and J

Reference 40

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no resolver link, observed 2026-08-03T21:52:40.185268Z

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source=pdf_text observed=2026-08-03T21:52:40.185268Z digest=sha256:c0b696c215e8723f9a515b9c17d04cfa9e4dc664d72898b24f40a7dec7fbc60b

Observation 6079d656-87b4-4e4a-868b-f6a7a3f518a6 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

FUSE: A Flow-based Mapping Between Shapes Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 41

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source=pdf_text observed=2026-08-03T21:52:40.216636Z digest=sha256:5f463bd785c6d6c4624972cdbbdab7f164f7ae0d708e17db836077e31097bf8a

Observation bf9f415e-b888-4d3b-9ea8-b17fdfc51cea · outbound

This paper cites an unresolved cited work.

FUSE: A Flow-based Mapping Between Shapes Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-03T21:52:40.248543Z digest=sha256:84e5dba46f2f3efb6b8cc84919b24ff283c88b6cd008fbce881ee984e71d0110

Observation bf5f6c96-4a35-420c-a75f-18780cc48adc · outbound

This paper cites Barron, and Ben Milden- hall.

FUSE: A Flow-based Mapping Between Shapes Barron, and Ben Milden- hall

Reference 43

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source=pdf_text observed=2026-08-03T21:52:40.262543Z digest=sha256:eb6cdc4f291249dbdb6ecf2b3d4ef028a5d8d312df757e0002769ed73cd133fe

Observation 06fb4c34-3a83-4cce-81a3-41e574a6b1ba · outbound

This paper cites At- tention And Positional Encoding Are (Almost) All You Need For Shape Matching.Computer Graphics Forum, 2023.

FUSE: A Flow-based Mapping Between Shapes At- tention And Positional Encoding Are (Almost) All You Need For Shape Matching.Computer Graphics Forum, 2023

Reference 44

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no resolver link, observed 2026-08-03T21:52:40.294649Z

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source=pdf_text observed=2026-08-03T21:52:40.294649Z digest=sha256:2aff5a8f9b728e94221547aa57bfcce60e15ca3d38e4eeaaf3b4133c894b57a8

Observation 114d9115-0440-46fd-b8d0-5bab9f8a9a0a · outbound

This paper cites Bending graphs: Hierarchical shape matching using gated optimal transport,.

FUSE: A Flow-based Mapping Between Shapes Bending graphs: Hierarchical shape matching using gated optimal transport,

Reference 45

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no resolver link, observed 2026-08-03T21:52:40.313880Z

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source=pdf_text observed=2026-08-03T21:52:40.313880Z digest=sha256:f69b7def109c6f3d3ef117a0acef3d1c9364ad68f4446412f695f0b42b9e5aca

Observation a190e349-bd54-4ced-ad3e-5f326f937ac3 · outbound

This paper cites Diffusionnet: Discretization agnostic learning on surfaces.ACM Trans.

FUSE: A Flow-based Mapping Between Shapes Diffusionnet: Discretization agnostic learning on surfaces.ACM Trans

Reference 46

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source=pdf_text observed=2026-08-03T21:52:40.343831Z digest=sha256:25cf0563e57b8a1426ab532847452624791a23da731b2603503c591d24305ab0

Observation a646c51c-c78a-4c91-ba68-f7c118d4ff8a · outbound

This paper cites 3d pose transfer with correspondence learning and mesh refinement, 2021.

FUSE: A Flow-based Mapping Between Shapes 3d pose transfer with correspondence learning and mesh refinement, 2021

Reference 47

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no resolver link, observed 2026-08-03T21:52:40.364123Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T21:52:40.364123Z digest=sha256:423ba91c115f26e2e469c719eedd03461da78cba97ac259f4a172d6b20074b85

Observation e8717636-1344-49e1-9c87-daae96f90274 · outbound

This paper cites Denois- ing diffusion implicit models, 2022.

FUSE: A Flow-based Mapping Between Shapes Denois- ing diffusion implicit models, 2022

Reference 48

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source=pdf_text observed=2026-08-03T21:52:40.395134Z digest=sha256:70531c4abdfeb9c39d22babc7d4b06f58bfc5da09d60734e87936258cf9945f6

Observation cf8ced0f-a449-4d34-9861-bb29e2ab8cbd · outbound

This paper cites A con- cise and provably informative multi-scale signature based on heat diffusion.Computer graphics forum, 28(5):1383–1392,.

FUSE: A Flow-based Mapping Between Shapes A con- cise and provably informative multi-scale signature based on heat diffusion.Computer graphics forum, 28(5):1383–1392,

Reference 49

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source=pdf_text observed=2026-08-03T21:52:40.426904Z digest=sha256:1fde10c8c76275802791cfd1d17018f4f17c0c2bbab5ea81eabfbe66fc600e99

Observation 7ca1905a-78e9-4d8f-a905-7f512d5138cb · outbound

This paper cites Unique signatures of histograms for local surface descrip- tion.

FUSE: A Flow-based Mapping Between Shapes Unique signatures of histograms for local surface descrip- tion

Reference 50

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no resolver link, observed 2026-08-03T21:52:40.468107Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T21:52:40.468107Z digest=sha256:54302a38151c356781d658a38912b259e5bb79174b9397dca4dce6ec72808b43

Observation 63f45a17-f278-4647-8555-11d23ddf5a25 · outbound

This paper cites Shape registration in the time of transformers.Advances in Neural Information Processing Systems, 34:5731–5744, 2021.

FUSE: A Flow-based Mapping Between Shapes Shape registration in the time of transformers.Advances in Neural Information Processing Systems, 34:5731–5744, 2021

Reference 51

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source=pdf_text observed=2026-08-03T21:52:40.520098Z digest=sha256:0d83cf090506edb3a172f02225e7d3c4bc0e633c88133c4559951b6f92756c81

Observation 844db5bf-7995-4d04-8fab-3567975b8a92 · outbound

This paper cites Nam: Neural adjoint maps for refining shape correspondences.

FUSE: A Flow-based Mapping Between Shapes Nam: Neural adjoint maps for refining shape correspondences

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T21:52:40.573607Z digest=sha256:613944eeba70504405eb08713e55f71058fa08b7564571dffbc5163130a96c96

Observation c27cefba-2a66-4cc2-a9f8-c2bd898f41d0 · outbound

This paper cites Bijective upsampling and learned embedding for point clouds correspondences.Com- puters and Graphics, 122:103985, 2024.

FUSE: A Flow-based Mapping Between Shapes Bijective upsampling and learned embedding for point clouds correspondences.Com- puters and Graphics, 122:103985, 2024

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T21:52:40.605863Z digest=sha256:75eb04b1643d140a3e00ea790ddc15e187a200c9c22d0a772adb43ce94115944

Observation 71bb49ec-896e-42d5-86bd-0bd32330aa0f · outbound

This paper cites Clip-nerf: Text-and-image driven manipula- tion of neural radiance fields.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3825–3834, 2021.

FUSE: A Flow-based Mapping Between Shapes Clip-nerf: Text-and-image driven manipula- tion of neural radiance fields.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3825–3834, 2021

Reference 54

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source=pdf_text observed=2026-08-03T21:52:40.622734Z digest=sha256:4390bb64b314d09a70308e0d23476760b9db547f125c7200fded9a9bfb4eca5e

Observation fe8261ed-4041-442e-99e3-c5233b51e71f · outbound

This paper cites an unresolved cited work.

FUSE: A Flow-based Mapping Between Shapes Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-03T21:52:40.663399Z digest=sha256:233feecbf7a3ffbecf00978986aaeb106c37ec17a1a0e75ee045fbf4814173c2

Observation da178a08-e097-493c-a7ad-c6a1142de91c · outbound

This paper cites Geometry processing with neural fields.

FUSE: A Flow-based Mapping Between Shapes Geometry processing with neural fields

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T21:52:40.673646Z digest=sha256:633be895eb422ccba8a0b349b9108fb9593e480a32013e36775164919e8c2685

Observation 9fb6617c-09d6-447e-8027-545a37df8e55 · outbound

This paper cites Geometry distribu- tions, 2024.

FUSE: A Flow-based Mapping Between Shapes Geometry distribu- tions, 2024

Reference 57

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source=pdf_text observed=2026-08-03T21:52:40.705777Z digest=sha256:0d6f8da2bbdf2e6af5307629701fbba136afdc448ee7e8e04ba47de07e932c2b

Observation 3296833a-8e8b-4d11-bb73-474374df59c2 · outbound

This paper cites an unresolved cited work.

FUSE: A Flow-based Mapping Between Shapes Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-03T21:52:40.726839Z digest=sha256:af709b320fd99872949e94800b8a50e9c56329411fe44996d173820fd75914a0

Pith citing papers

Observation 496d1a28-7f44-4ccc-bcb3-60cfcf937b12 · inbound

DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching cites this paper.

DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching FUSE: A Flow-based Mapping Between Shapes

Reference 14

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verified exact
arxiv_id, observed 2026-07-08T02:18:08.666110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T10:58:09.450053Z digest=sha256:a428393e933660371d03940c7abd814ceae36a655f13e11f71d3ebfcae8139dd