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Paper Citation Record · LEDGER

GNOCHI: Generative Neural mOdel for Close Human-Human Interactions

As of 8 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 2026-08-08T06:32:00.761636+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:c57fcdccf6e34b0d731be9017146c1856cc3c0e0c1c206f7f6c13a048a45356d

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=sha256:96ffc359f55d7384daa4e3be1ae7263c28c5718b2ea2b7123dfad8ad9f4c8fca

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:a42fb26433a30c3f70b98dd7e30c3bb1f42ec38a51a866e3c25eb5e9b4ddf1fa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:06952e7fbc9563d7548ad5be26328630785609db83a942ddd8ccb0c6e6b2ca47

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=sha256:21f0e39f795c11b484ad25fe8f2dfc83a0199b858c32225fbf39b531bc21b901

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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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=sha256:0a3ce67ee18d797e281e2dd1f548058987a911e3de66af9015c015054725da89

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=sha256:9d08831f9c469737d33668a9806d292a01e7fa778ee958f2a331360df74d118a

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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verified exact
doi, observed 2026-07-14T12:00:26.962750Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7ca26449e2682fa01bc62d3ac9b6fa24c038d078277260e51997450a0f35f091

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:b49d7bd3c6dd7c2dc79f506cad9e3c2ac7c45f095c1afde729b6b87032ecd060

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:f2d3f1a16697c4aa1577178546ca8da13c9592cf8e8864644055559d35f16df4

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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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:be0bef5b8d2729d76d270e78128a6a543e06d710f2eefc33eb357b3d9a3e3eda

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=sha256:1a08d42ffef0ae0a30010a91b992dca97909d8d730ce6bfebde8a628d91289e0

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=sha256:7e965f256f57520ce9057dfb98cc88a8e5b326c046e0bc154826ab4a34630e6d

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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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=sha256:163871502db1bfd418c06fd35e2043ffc0d2ed520bfab3d305381b302a298786

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=sha256:8b3d7c025bfcf4d09b559fa77b75cb84088408a1c614e0f31d7c37bce227d3dd

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=sha256:1700f3b9c25e836c68520d1ca5f436fd9505f53469f3f7dc7d8bb4cf912aa117

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=sha256:5d72ffa2e6d38298c610cb2a6366de0fc8fee0bad39d18f9f2cd98797da2130b

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=sha256:8b031e84c42b40b91d21d58730b3224272686407dec532c6dccdf1f652cb1260

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:a3c4f29964ab51a9a92ca2dc8b9ce98d5690051c09381e3dfb53cfa992ace3d6

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=sha256:0eff4e21932826ec8b7c2fb9632e8f3760fa40a4adf30c222d796f1c8a10667f

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=sha256:9818eb4b468b4dfa9e4b4e34439141d333ff0a29a8c378affc5590d5fd0316ff

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:d9dc2864b792890beda4907ac9fe2baf87793c6d0d9e5ae3256cc892d44bcce9

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=sha256:88ff995568d554d3ba19423abf3d8f72dc890a71113798288e69e9014d365352

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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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:43c82ab1b259ecd1525becf8fc2b4f1654d3f536c2be49fd64792bc0c3d0e506

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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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:2a7f17ac4c86470c01f912978af46a67becde488b80b6b601368c868cc622962

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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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:7cc2dcfc1862700d0189fd773d438725fd15febff7b5f0263f929cad6e5085ef

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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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=sha256:750287a99c9759428edf4e6a4ef7d1133151d15fa0569e9e269c0b43102feca5

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-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:be2e7599582c310a2b1128f30ae89a380a8577cf2195406737a5bf327bb3c9d1

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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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:21b59d7e44000cf1622baf60cf0f2ab8e29c8c0e451664de0a9bb8e59266f297

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:c9db94d9bf230e2810c528f38bbd4a06d38920476e44c3627ba3eede6f84684b

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=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:4ff827f85ae4b3ae01b6f7f477fdced6fb95772bd06ca5cbdb14fc011169cdd3

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:eab4bdac8c8af5a191d0642f25330bc322f7aa63f976160fc9efe8d0c2caad00

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=sha256:8ead627d952476af22ca56e4b72d7b1427d02bc2d7d7e929391c260dc9b7efc3

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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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:b9078a547326e7dc554bba8cc36927a1288c5d29678c6145f1a669aab34cbc74

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:afa495f29abb27759f67e2a15955e37ada95518910a520dcd2f22f84512b5b89

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=sha256:1df5fe684b1a7a7d424f38704ee1feb8aab4c4c0df671d21e61e2979b15bbcb6

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-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:aa3951ba139fbb00dba66c391a104ffb3f642f5da1be4e594cb04ccd51f84e76

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=sha256:396c639a219568ee58f5ef2d440633bd20b9a207b4b2b26a38981b8bab973480

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:f650b7887e9358e7a2b3101ca6ce46cc3b28b2bb7868dcdc06a0aec1c8fd4f36

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:00f1d6a2ffe71425e560fbaf8fb620b455ceac931e2141aadff850c186c69232

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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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=sha256:3e8a9e3d85ae1ecb0ee7b5b66c1fd32b7f230edc9b9e1200ce288c37b6d04e94

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=sha256:2a8a6da7cb82374cacbc02048c82c21e36c180750b9489b1acc405c762784a44

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:603110e69ba14e82db1f4d22e61781684db41cc6ca09c83389e6d13f48177b49

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

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source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:26b932b24af923ad8c6609fa5b7ac6923e3453e9793883107a7f08e57309138a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-14T11:58:49.150166Z digest=sha256:197d29cd8b1818d158d94be8514279a6d88c56746a393ec6ffc06e055bbccb72

Pith citing papers

No inbound Pith citation observations are available.