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Paper Citation Record · LEDGER

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.10408.

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

pith.paper-citation-record.v1
2607.10408 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:58:49.150166Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

55 of 55 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 075f46c0-d863-4a5f-919c-9d9c13713aa9 · outbound

This paper cites an unresolved cited work.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Unresolved cited work

Reference 1

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Observation f1b17c64-6f84-4ffa-bea5-308c8bcc9f1e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 2

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:3a7454dfd2d0cd456390d604fa6d673b091687141444ae7100d1ee2efdf3ada5

Observation 4d06658c-cffc-4739-8ae0-a12c29ba32c2 · outbound

This paper cites an unresolved cited work.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:8ac8a30eac33dcb02c0727c0d65b1158e558840a4aad7c1b582600da4218ffe4

Observation c366df15-da88-410d-a5a2-3edac887aed7 · outbound

This paper cites 2025 , pages=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2025 , pages=

Reference 4

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:6c883839f454095e13755daaf5bbb8c31e8065ff17e27462ba857dad0a3d21cd

Observation 2d838d07-a0d9-48d7-b83a-26c3210f66f8 · outbound

This paper cites 2024 , issue_date =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2024 , issue_date =

Reference 5

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verified exact
doi, observed 2026-07-14T12:00:26.967616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:25ef43a4c6a6ca5c1493782723a078622b145de62a5d45cc55d99994b62e8933

Observation 70c48b1a-3e16-4e2d-9b2c-47b6e2b1af05 · outbound

This paper cites FreeMotion: A Unified Framework for Number-Free Text-to-Motion Synthesis.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions FreeMotion: A Unified Framework for Number-Free Text-to-Motion Synthesis

Reference 6

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:1e7d7856cda859082a2396f246191dbc0cdc1e9eda77c06d0dd23f752f9b9240

Observation a60daac9-b618-47a1-8f95-5e6b60cfd0a2 · outbound

This paper cites Towards Open Domain Text-Driven Synthesis of Multi-person Motions.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Towards Open Domain Text-Driven Synthesis of Multi-person Motions

Reference 7

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:bdc4fc8a01ba032dbd965251fd729a9d2d831e74f59b465d967e1b9496cd8d2a

Observation c0cc2874-c9fb-4919-8df9-26cbe890160b · outbound

This paper cites Role-aware Interaction Generation from Textual Description , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Role-aware Interaction Generation from Textual Description , year=

Reference 8

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:aa815755358b3b7ff05afc970ecff2ea56a30b6d82ba8fdb3043c04a30807cc2

Observation 4661d551-9021-4d27-8595-2bcfbef2aafb · outbound

This paper cites 2023 , volume=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2023 , volume=

Reference 9

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:e909426abd420d7e03037563b23c6649740a3dab99b083e2d02528f99b181053

Observation 797da19c-0b0f-45ff-b014-c6864d1438db · outbound

This paper cites 2023 , issue_date =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2023 , issue_date =

Reference 10

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:d68c0d7e542546be15b1f98d8f15f3521e0146e024d0f6af97acc41f2d75765f

Observation 0668e625-499d-4d11-a311-65d54c27852a · outbound

This paper cites GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB , year=

Reference 11

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:d61363576b2bc91d050f91a055c56032ebf82ca50a20f1fe46b85be67af35419

Observation 6af767f7-f8ce-404e-9944-18159c8157ca · outbound

This paper cites Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 2 , pages =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 2 , pages =

Reference 12

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Observation c8ea6afe-d834-4fb2-88df-bb2cb32675dc · outbound

This paper cites On the Continuity of Rotation Representations in Neural Networks , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions On the Continuity of Rotation Representations in Neural Networks , year=

Reference 13

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:11b5ca9a1c57f3774a7047fbc5f6aba997d015f1d210bfbd217a2be6e04e9a52

Observation 2b3fe4e0-9322-457d-b5e0-922f2c3c4e00 · outbound

This paper cites and Tzionas, Dimitrios and Black, Michael J.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Tzionas, Dimitrios and Black, Michael J

Reference 14

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:94501146b1e3cccf736f8c5c78a8a75a08a1147bc343f8a514f63545f7a2e208

Observation 7ea3bf44-8ce1-40fd-8a68-fc2b9fbc9f2c · outbound

This paper cites Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion , year=

Reference 15

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:e70036bcd3dcb8928d65b81acf35a6aed0cdf0654c3cf91386c8493963586499

Observation 8d350e8a-f5ad-44bc-acfc-b6f288559cad · outbound

This paper cites , booktitle=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions , booktitle=

Reference 16

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7cb3bb4fd35e570d3c730de5897518bd2d1b0c1623d07c773e5b015f7af9f142

Observation d45c30fa-2ab0-4f50-95bd-58f4987e1e19 · outbound

This paper cites Scaling Up Dynamic Human-Scene Interaction Modeling , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Scaling Up Dynamic Human-Scene Interaction Modeling , year=

Reference 17

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:3071436335b79fa8f19c01f99381018d5a4fd00153001ffbb565f8c4b3d78b70

Observation c2b6dfbc-d6af-4f2b-9f7e-b37bb99d9fc3 · outbound

This paper cites Decoupling Human and Camera Motion from Videos in the Wild , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Decoupling Human and Camera Motion from Videos in the Wild , year=

Reference 18

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:ed400570caabcac74f2970c7efa163e1eb8038b046386c8c50e5e1e6f1b0b9a9

Observation 113a4973-fef9-4748-9273-0f3b7ef3430a · outbound

This paper cites MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation , year=

Reference 19

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:f2ea74ac7a1e1185ca1387cb487382f30b736e2bc9834785b7ea4a3cf71f6ab8

Observation d66c3657-1e26-41ce-a8e0-e000c78ac0fe · outbound

This paper cites Hi4D: 4D Instance Segmentation of Close Human Interaction , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Hi4D: 4D Instance Segmentation of Close Human Interaction , year=

Reference 20

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7301afeccbf371d6b9b705d9039c5c2f561d9ebd85db7f7ecce173d1779b9a79

Observation 262e0c40-a59e-4f74-b569-a7918854b866 · outbound

This paper cites Three-Dimensional Reconstruction of Human Interactions , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Three-Dimensional Reconstruction of Human Interactions , year=

Reference 21

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:62317a9f768c87a2a659d5eb075516d8af872e8be1922e1a313e61eab0510f7b

Observation 80ccf88e-8f9d-4dfe-8d48-c731b607b26f · outbound

This paper cites Generative Proxemics: A Prior for 3D Social Interaction from Images , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Generative Proxemics: A Prior for 3D Social Interaction from Images , year=

Reference 22

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:6539fcaf26a18ca61afb90882e7959b85dfcfe52b5c292fe4352f7621eacc2b3

Observation 9a7f9664-495e-4ea5-9a87-6e2c079c2182 · outbound

This paper cites an unresolved cited work.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:b824d312548f49fc901dd32a3361f078aa36e3d72f2a165cf68e2342ee4a2e26

Observation 937bb73c-8d3f-44ad-a55a-dc12024e4819 · outbound

This paper cites and Laptev, Ivan and Schmid, Cordelia , booktitle=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Laptev, Ivan and Schmid, Cordelia , booktitle=

Reference 24

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:c4df32862163cfd7c4b95973a0b763a04e84f018b7be70ab752b72d1654bae65

Observation d5fe8653-bd75-469d-b9ed-d47fe68fadd3 · outbound

This paper cites G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis , year=

Reference 25

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Observation ece9ec28-c5d3-430b-823c-6bd4599afb9a · outbound

This paper cites , title =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions , title =

Reference 26

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:4db7b84db63f7d95456bb5fd345b14cfc9d7baf22c6e256fe788053c3df1f218

Observation 366f05da-cbee-4d0d-9977-b062f08098e1 · outbound

This paper cites , booktitle=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions , booktitle=

Reference 27

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:3b6e7fba6af909c3092ad0a67e1b5b878d6d00fec0bb0151f172f898858c098a

Observation ce0ea2b5-2d19-4c60-9ee8-8a7a7a0fd422 · outbound

This paper cites and Mei, Tao , booktitle=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Mei, Tao , booktitle=

Reference 28

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:50268bdaaed4c2d5934a816118f2541c4dbf561ae15805e4dfd882bcd95cf4d1

Observation f6d76fc2-e6d6-484a-9075-c8a614a072b3 · outbound

This paper cites Multi-Person Extreme Motion Prediction , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Multi-Person Extreme Motion Prediction , year=

Reference 29

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:8ec1f71e481b87d9376bc5306f3fbc161a289924870f24901aae49aeb4e0d864

Observation 5f038a7f-2076-4383-bec2-d5ffc654d148 · outbound

This paper cites DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras , year=

Reference 30

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Observation 8feaecf8-08b5-4ece-890e-e2f9005fc195 · outbound

This paper cites D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions , year=

Reference 31

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Observation 0b46d5d8-bab5-4139-9377-808c171ec5a1 · outbound

This paper cites 2022 , isbn =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2022 , isbn =

Reference 32

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verified exact
doi, observed 2026-07-14T12:00:26.963907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:cb94b09051802cb6305b46fe052bf83c4f23bf822c5f9d5ae47841090d42b2be

Observation 24e1e2d4-3a3e-43c3-8cad-7289aba5be54 · outbound

This paper cites and Tzionas, Dimitrios , booktitle=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Tzionas, Dimitrios , booktitle=

Reference 33

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Observation 12b12f1a-483b-4fb2-bab6-28242d3c7355 · outbound

This paper cites COAP: Compositional Articulated Occupancy of People , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions COAP: Compositional Articulated Occupancy of People , year=

Reference 34

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Observation 8dabe91a-6da6-497a-a920-361c4d2fe915 · outbound

This paper cites Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =

Reference 35

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:89fbf9a2dda2e6fb2e9e535db5c1b96d049bc36bfd1f42c9d532d995a712fbfd

Observation 3c3fa48b-f70c-4ad0-a96e-c65e85e3c173 · outbound

This paper cites Stochastic Scene-Aware Motion Prediction , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Stochastic Scene-Aware Motion Prediction , year=

Reference 36

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Observation 254fbcdd-af00-40ec-9eda-deeb4a8d94e5 · outbound

This paper cites Inter-X: Towards Versatile Human-Human Interaction Analysis , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Inter-X: Towards Versatile Human-Human Interaction Analysis , year=

Reference 37

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:4fa3ed288317efb26b10cf91635476964726b0461401fa44b089333b37f4afca

Observation 6ea1dcd5-1b56-4b1a-b8ea-9589f4db0166 · outbound

This paper cites Synthesizing Diverse Human Motions in 3D Indoor Scenes , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Synthesizing Diverse Human Motions in 3D Indoor Scenes , year=

Reference 38

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:8d60afe987ce3354744391caee28212b0114b3ee30e051da86976f342de4e879

Observation 3e315de1-d629-4395-813c-0d8ff24c9dbf · outbound

This paper cites Compositional Human-Scene Interaction Synthesis with Semantic Control.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Compositional Human-Scene Interaction Synthesis with Semantic Control

Reference 39

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no resolver link, observed 2026-07-14T11:58:49.150166Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:f737b5efa6465592c8a985a3365fc0258bef433f0a8263e17a29ccb228233f15

Observation b4607653-51be-45dc-866a-c22b40eabb35 · outbound

This paper cites Full-Body Articulated Human-Object Interaction , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Full-Body Articulated Human-Object Interaction , year=

Reference 40

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no resolver link, observed 2026-07-14T11:58:49.150166Z

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:3a99e0415ed983972f0f8a22f9bc0c99f3b42c2da965903b33a31fb82a9e97dd

Observation bf343a17-a877-4c5a-a08e-4f0d2bf4adda · outbound

This paper cites IEEE transactions on visualization and computer graphics , volume=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions IEEE transactions on visualization and computer graphics , volume=

Reference 41

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:6052c60b8d7b182c685735b5b57879eb7588d1a64062ebe622027ac6d3df0c3c

Observation 4a2ce8c8-6baa-46d6-ae83-ed8a2c210c4d · outbound

This paper cites and Marsden, J.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Marsden, J

Reference 42

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:c7d5680c91b9d9b6a31ac9ea96f1709c25c7704751c429dec2d12677b644e06e

Observation 70e31407-7af4-47a3-bbf6-e15aab3b80c9 · outbound

This paper cites ACM Transactions on Graphics , volume=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions ACM Transactions on Graphics , volume=

Reference 43

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no resolver link, observed 2026-07-14T11:58:49.150166Z

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:50440e8025c2f30cfe33b2b7fbc49b82440ac5b319c35b3c850411017dbeaeb4

Observation a7bb85c5-e6dd-418c-8328-c8ae6462e94d · outbound

This paper cites , title =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions , title =

Reference 44

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no resolver link, observed 2026-07-14T11:58:49.150166Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:e3675613bdba2d1d66588bef154b8d4c0705626e236bd4081b2e4562ed1d32fa

Observation 7d4a18a3-2e2c-4ae8-b4cb-e26a12baf776 · outbound

This paper cites 2024 , howpublished=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2024 , howpublished=

Reference 45

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no resolver link, observed 2026-07-14T11:58:49.150166Z

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:90ef6c68bc84e22c48d7d8fbe2c2639879b0c86a2e56812a141d4e81649e289d

Observation 5f4df88d-2f8c-4617-8861-0e1c06a7a517 · outbound

This paper cites Reconstructing People, Places, and Cameras , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Reconstructing People, Places, and Cameras , year=

Reference 46

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no resolver link, observed 2026-07-14T11:58:49.150166Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7f3aef5a6b37093484ffdf971b346ebc04757bfb4d77adbe4a385ab06f967310

Observation 37321bfc-e692-406d-b504-a7dc9989bb5f · outbound

This paper cites Synergy and Synchrony in Couple Dances.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Synergy and Synchrony in Couple Dances

Reference 47

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:ce748e9a1f7e399330d5df5fc6c5d41fd23c72be182dc8daa824ec537c7c9df5

Observation 1126662b-6404-4161-9d18-85171e270b73 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data , year=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data , year=

Reference 48

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no resolver link, observed 2026-07-14T11:58:49.150166Z

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:c4da7d49bbc731b55e69b6c08a0eeb46b52497e0ce673561925a1bbddb2582d6

Observation bcd0cdf0-b15c-4ae2-80ef-0fccb5e78544 · outbound

This paper cites Karen and Hertzmann, Aaron and Popovi\'.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Karen and Hertzmann, Aaron and Popovi\'

Reference 49

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unresolved
no resolver link, observed 2026-07-14T11:58:49.150166Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7b25a8656aba16d1007d5f03d1958c997ba72f6544ed23164a1af4ef8509748f

Observation f1124e0f-5c20-4b68-8246-1c866d2aa6ab · outbound

This paper cites an unresolved cited work.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Unresolved cited work

Reference 50

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verified exact
arxiv_id, observed 2026-07-14T12:00:26.955455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:e0798285d3d923e599981fbb85ffb84f1c5fa59341c20c7dccd7330315022069

Observation 8d68c868-9df5-42c9-9856-520fad71a262 · outbound

This paper cites Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation , pages =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation , pages =

Reference 51

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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:5f3472350a68c9827db77ce088bf1153a496608773ee2a584b259ba83b94b390

Observation a859f540-1a64-4929-9322-c6b428de1d08 · outbound

This paper cites and Lee, Jehee , title =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Lee, Jehee , title =

Reference 52

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:c8a4b01fed147603e1789f3258e246370faa8f33caaadd2a2a5b8fe71e9eddc0

Observation bc08542b-006d-43f5-a133-8836a9d39ba2 · outbound

This paper cites an unresolved cited work.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions Unresolved cited work

Reference 53

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verified exact
arxiv_id, observed 2026-07-14T12:00:26.940656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:d4446460a5cbf95d14b3c3296873b64172cf0b2468e951d294af470036930422

Observation 538a2205-ee06-4254-9c25-f93fddaed306 · outbound

This paper cites and Komura, Taku and Yamazaki, Shuntaro , journal=.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions and Komura, Taku and Yamazaki, Shuntaro , journal=

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:aaea69423a8e846ce3a33eba5ba02d40e67910d38418c2e2b8e52fbba2bdfb25

Observation 67b71d76-15e4-49b9-a301-9c65815c3dc9 · outbound

This paper cites 2023 , isbn =.

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions 2023 , isbn =

Reference 55

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verified exact
arxiv_id, observed 2026-07-14T12:00:26.972479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:2f8d8c848c9b33dc4d506d7f43193bef6d30f45866c1814db01bb4eab1d23860

Pith citing papers

No inbound Pith citation observations are available.