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Paper Citation Record · LEDGER

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer

As of 6 August 2026, this Paper Citation Record lists 100 of 292 outbound references and 0 inbound Pith citation observations for arXiv:2607.28394.

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

pith.paper-citation-record.v1
2607.28394 v2

Coverage vector

measured 100 of 292 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:23:00.584697Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 292 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7cea9cb-6441-470d-8356-7e935847abf1 · outbound

This paper cites H+O: unified egocentric recognition of 3D hand- object poses and interactions.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer H+O: unified egocentric recognition of 3D hand- object poses and interactions

Reference 1

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source=pdf_text observed=2026-08-04T01:22:50.259716Z digest=sha256:5dbdec658689bcc17aac9138fcaf7d2e3d03edc37c3753454efa4f77d95f92a6

Observation 1656f976-f0c4-418b-af6a-4f852044a54e · outbound

This paper cites Learning joint reconstruction of hands and manipulated objects.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Learning joint reconstruction of hands and manipulated objects

Reference 2

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source=pdf_text observed=2026-08-04T01:22:50.331314Z digest=sha256:3ab2765cb94ac946b28b9b05dbf825e399b4581900ad82cb60c16ff6a93b7f92

Observation 15a136d9-29f3-4149-bbbb-9e631fa82993 · outbound

This paper cites CPF: Learning a contact potential field to model the hand-object interaction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer CPF: Learning a contact potential field to model the hand-object interaction

Reference 3

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source=pdf_text observed=2026-08-04T01:22:50.481685Z digest=sha256:7156ae8ec9c49416f03293e8ee17d00ee784e935efc9ad00345c7a77035bf0de

Observation 10336c0f-894e-4a82-8d38-9278e69614dc · outbound

This paper cites HOLD: Category-agnostic 3D re- construction of interacting hands and objects from video.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HOLD: Category-agnostic 3D re- construction of interacting hands and objects from video

Reference 4

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source=pdf_text observed=2026-08-04T01:22:50.643954Z digest=sha256:d7d872279a09bafb7b40abe129d1be1c3b0e1872fe3312bd76f3e7378efb4831

Observation 68ab55e6-ef54-4d34-b222-2f894cec3eee · outbound

This paper cites What’s in your hands? 3D reconstruction of generic objects in hands.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer What’s in your hands? 3D reconstruction of generic objects in hands

Reference 5

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source=pdf_text observed=2026-08-04T01:22:50.760793Z digest=sha256:0e630f60e0b8f45e307deaa8619536713d78249030cb923803de7049822cb725

Observation baefb069-a7dd-4945-82d9-feee9b689148 · outbound

This paper cites Grasping field: Learning implicit representations for human grasps.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Grasping field: Learning implicit representations for human grasps

Reference 6

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source=pdf_text observed=2026-08-04T01:22:50.866783Z digest=sha256:93266293284b0b53d587c7de341173d0f01fe2aa6d7fa4175d481ef62c24f671

Observation e73c3643-a888-4041-bc18-926074e8ddc4 · outbound

This paper cites DUSt3R: Geomet- ric 3D vision made easy.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer DUSt3R: Geomet- ric 3D vision made easy

Reference 7

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Observation ceedb3f9-e95b-49da-9509-ce84664565b1 · outbound

This paper cites an unresolved cited work.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-04T01:22:51.111521Z digest=sha256:9334beb8c85ed6aa176e05d9d5e52ed3f27c87747dfc26f1e54b265f80f75b60

Observation 669b0289-8c6d-4dcb-b19a-4dfbc97452bf · outbound

This paper cites S2contact: Graph-based network for 3D hand-object contact estimation with semi-supervised learning.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer S2contact: Graph-based network for 3D hand-object contact estimation with semi-supervised learning

Reference 9

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source=pdf_text observed=2026-08-04T01:22:51.250781Z digest=sha256:8a7b588f1a2b02cd8b38bfeb1f7e0e763e085caf85d2aa1296ff275038e1e9f9

Observation d359d8c2-7073-4afe-8606-62a474eb75b9 · outbound

This paper cites Contactopt: Optimizing contact to improve grasps.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Contactopt: Optimizing contact to improve grasps

Reference 10

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source=pdf_text observed=2026-08-04T01:22:51.366692Z digest=sha256:a1154567e66438410a330eb2158a4e69727f224eab1c3bbf72e75d1cc74c3d60

Observation 7ee4e721-75dd-490c-954a-dc78d07e48f3 · outbound

This paper cites Deep- SimHO: Stable pose estimation for hand-object in- teraction via physics simulation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Deep- SimHO: Stable pose estimation for hand-object in- teraction via physics simulation

Reference 11

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source=pdf_text observed=2026-08-04T01:22:51.469114Z digest=sha256:c46d16bfe3e107f865dbe0884de66e292872a9a4deb126dc70efdb1390311ef7

Observation fd99bf28-1a3d-43ac-b792-1659f27533f6 · outbound

This paper cites D- grasp: Physically plausible dynamic grasp synthesis for hand-object interactions.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer D- grasp: Physically plausible dynamic grasp synthesis for hand-object interactions

Reference 12

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source=pdf_text observed=2026-08-04T01:22:51.586685Z digest=sha256:1fd355b77190c54ea84b791ae738679d91ae9489156361f08849d9bc92f3b954

Observation a775507a-e363-4f31-9c32-27b7e526de80 · outbound

This paper cites Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection

Reference 13

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source=pdf_text observed=2026-08-04T01:22:51.670545Z digest=sha256:8f99e340f5a0a9b5c58832da29772992f5889e428d482a1c2d66596d9da2779b

Observation 49c0ef7a-7330-401e-aea9-4fd378698d04 · outbound

This paper cites Segment anything.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Segment anything

Reference 14

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source=pdf_text observed=2026-08-04T01:22:51.833259Z digest=sha256:da552b0139ee345cc8fa56f19506844659d08de1c33f7280f7b6e6d3a0f5319e

Observation bc1d0192-f3d1-4f68-b9ad-12077fcc2b71 · outbound

This paper cites SemGrasp: Semantic grasp generation via language aligned discretization.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer SemGrasp: Semantic grasp generation via language aligned discretization

Reference 15

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source=pdf_text observed=2026-08-04T01:22:51.943958Z digest=sha256:8f7491fcee086952f38f985e691b91ebefbe5accf5953914679bd958ef2e4db9

Observation bd267cb5-c66a-4268-81f3-3063f770d418 · outbound

This paper cites Text2grasp: Synthesis of grasps by text prompts for object grasping parts.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Text2grasp: Synthesis of grasps by text prompts for object grasping parts

Reference 16

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source=pdf_text observed=2026-08-04T01:22:52.054470Z digest=sha256:8c972f8a624ce00278c6c89ed55943d7344661175fa15eda0c0344eb51956925

Observation 5392c68c-f7ab-438b-91ef-50ee877fc809 · outbound

This paper cites Towards unconstrained joint hand-object re- construction from RGB videos.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Towards unconstrained joint hand-object re- construction from RGB videos

Reference 17

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source=pdf_text observed=2026-08-04T01:22:52.128899Z digest=sha256:0dfde7a26f0ae6de54b4adac2d1651a8bc843505393d8f0bdfe81b5677288caf

Observation 49a69e49-5258-43d4-977b-6efbbe707a0e · outbound

This paper cites Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Grasp in Gaussians: Fast Monocular Reconstruction of Dynamic Hand-Object Interactions

Reference 18

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source=pdf_text observed=2026-08-04T01:22:52.168978Z digest=sha256:c23a75b61bb9ec73567fdc3ea731d2ac7c3b717d8edb10f625a8a219f97cfb19

Observation 67662a34-b970-4af9-bf29-c572bdafffcb · outbound

This paper cites EasyHOI: Unleashing the power of large models for reconstructing hand-object inter- actions in the wild.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer EasyHOI: Unleashing the power of large models for reconstructing hand-object inter- actions in the wild

Reference 19

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source=pdf_text observed=2026-08-04T01:22:52.227820Z digest=sha256:963934ef390b1ccdcd634bb9cad2695006af325b97838552275417644ab06f23

Observation edc6d170-0c03-45e7-b9e9-a0e72c908e4e · outbound

This paper cites MagicHOI: Leveraging 3D priors for accurate hand-object recon- struction from short monocular video clips.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer MagicHOI: Leveraging 3D priors for accurate hand-object recon- struction from short monocular video clips

Reference 20

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source=pdf_text observed=2026-08-04T01:22:52.269110Z digest=sha256:b4602607b39a076adbe6e857151f047448a74f3eba42ec856a55cb16375fd0b2

Observation 02e5420f-2df5-4e0f-9e84-c1e3c713a622 · outbound

This paper cites Diffusion-guided reconstruction of everyday hand-object interaction clips.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Diffusion-guided reconstruction of everyday hand-object interaction clips

Reference 21

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source=pdf_text observed=2026-08-04T01:22:52.336305Z digest=sha256:16047a611eda8f19bfd01ea472cfe940141dfb9316a633b1f02a7a6dcba11d11

Observation 44523c5c-c390-4adf-aff2-ceab3fa72193 · outbound

This paper cites Hand-object interaction image gen- eration.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Hand-object interaction image gen- eration

Reference 22

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source=pdf_text observed=2026-08-04T01:22:52.489158Z digest=sha256:6ed8a495a0772490d64fb6dfc23675198c54de224c1a49ebf27e4e1c3133e054

Observation 55a1344e-8fbe-47fe-9c9b-aa268564a202 · outbound

This paper cites HOIDiffusion: Generating realistic 3D hand-object interaction data.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HOIDiffusion: Generating realistic 3D hand-object interaction data

Reference 23

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source=pdf_text observed=2026-08-04T01:22:52.593069Z digest=sha256:8b949d42c82c0bf6a490ab7d9fedfd657e551f6cf1258bf67535b41c9943a79c

Observation 6547de2f-756d-41fd-b3a8-1cc63c8ba598 · outbound

This paper cites Svimo: Synchro- nized diffusion for video and motion generation in hand-object interaction scenarios.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Svimo: Synchro- nized diffusion for video and motion generation in hand-object interaction scenarios

Reference 24

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source=pdf_text observed=2026-08-04T01:22:52.733933Z digest=sha256:d0b77e3947e3b672c573be9f4b774acfa3f35aca29afda133708741117ade793

Observation b5d510ad-6410-4c1c-bee5-000df9e1415d · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 25

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source=pdf_text observed=2026-08-04T01:22:52.858333Z digest=sha256:724f5bada65daebc84a2680c9ec63d0f0f814e67cb7fb8ceb9b7c3f447545bb8

Observation efe5c1bf-e573-4943-9e5d-b61652bb315f · outbound

This paper cites OpenShape: Scaling up 3D shape representation towards open-world understanding.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer OpenShape: Scaling up 3D shape representation towards open-world understanding

Reference 26

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source=pdf_text observed=2026-08-04T01:22:52.991212Z digest=sha256:42022c909586d2681544d768e268adc1ac2b126cb4c20999a7656b642bf08afe

Observation de0112fe-c6cf-4423-a4d1-ea34032efe72 · outbound

This paper cites Visual instruction tuning.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Visual instruction tuning

Reference 27

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source=pdf_text observed=2026-08-04T01:22:53.080773Z digest=sha256:8f19a2e1c09e55529cc8cff159c010cb59ff267137d5e5d4ed7e136e24eb9826

Observation bf8b8f8d-04aa-4149-87d2-d49ae875f000 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 28

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source=pdf_text observed=2026-08-04T01:22:53.145316Z digest=sha256:df7b63c8bdd6845981055fd8cbeb44f369de5e340fd24d27b4352a66377b8c01

Observation 72a30f91-41a6-4ec2-96b3-951ffa339e68 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer DINOv2: Learning Robust Visual Features without Supervision

Reference 29

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source=pdf_text observed=2026-08-04T01:22:53.148002Z digest=sha256:561dc36036fe99fd3660f1910c965ff8b2e701d2d9c16fbf10d5e37f54699c49

Observation e14bf65b-79dc-4fd8-bd21-1c19f83a7679 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer High- resolution image synthesis with latent diffusion mod- els

Reference 30

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source=pdf_text observed=2026-08-04T01:22:53.153025Z digest=sha256:f44121a34abca5db397533cbc3d3876b8f6d90d41ecbc3c8e47c12a91f3d0d5c

Observation 607bacce-d41a-4d83-8fa9-372cbf557282 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 31

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source=pdf_text observed=2026-08-04T01:22:53.179643Z digest=sha256:26810181011188ebc50bde138cd3b974d04a85a37e88d23d60fb5469ffab9cc6

Observation a3c47d1d-d103-4b8c-bea5-0c093ae152e6 · outbound

This paper cites Objaverse: A universe of annotated 3D objects.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Objaverse: A universe of annotated 3D objects

Reference 32

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source=pdf_text observed=2026-08-04T01:22:53.245010Z digest=sha256:4647bdcdae2814ff33cb7a700c25fbcde41deebf1896ef18bad8c4dec7e24d2c

Observation d9dc253c-591e-459e-bd57-df6a87022514 · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Learning trans- ferable visual models from natural language supervi- sion

Reference 33

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source=pdf_text observed=2026-08-04T01:22:53.369956Z digest=sha256:d87491f0934f4a61a47fd75bd311439682c3905c6e7af53f606d301154ea85f9

Observation 06e6b740-f7d8-4d0e-b262-518fbb41bbb9 · outbound

This paper cites Reconstructing hand-held objects in 3D from images and videos.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Reconstructing hand-held objects in 3D from images and videos

Reference 34

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source=pdf_text observed=2026-08-04T01:22:53.422787Z digest=sha256:044567ca15207b08debc5bfb64f447cd2fe038ededfd41d874bdf3486753ba48

Observation 1144318d-f582-405f-a0cb-40a46d47c8c9 · outbound

This paper cites Ghost: Fast category- agnostic hand-object interaction reconstruction from RGB videos using gaussian splatting.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Ghost: Fast category- agnostic hand-object interaction reconstruction from RGB videos using gaussian splatting

Reference 35

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source=pdf_text observed=2026-08-04T01:22:53.554948Z digest=sha256:41ea52d259a85a49fef08028f96b9b6485de1228ca3cd1040d38ad3a3dd5c64e

Observation 1f07f9fb-0352-40dc-a72e-b139676fbf78 · outbound

This paper cites Hand-held object reconstruction from RGB video with dynamic interaction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Hand-held object reconstruction from RGB video with dynamic interaction

Reference 36

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source=pdf_text observed=2026-08-04T01:22:53.735030Z digest=sha256:07bdfcdb3f4457d36aa56c85032392bd82874e42b718ca1f4838383180992d57

Observation 7a653988-abb3-4584-96ee-0fac482e7167 · outbound

This paper cites Reconstructing hands in 3D with transformers.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Reconstructing hands in 3D with transformers

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source=pdf_text observed=2026-08-04T01:22:53.871135Z digest=sha256:f094365112f6419b43b6204a5bc8d199df5000bd0d5962471dacd88e8695d81e

Observation 2b6ffc2f-bd72-44f1-abed-d89a2b70431c · outbound

This paper cites Wilor: End- to-end 3D hand localization and reconstruction in-the- wild.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Wilor: End- to-end 3D hand localization and reconstruction in-the- wild

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source=pdf_text observed=2026-08-04T01:22:53.987772Z digest=sha256:e98fa89910c952199a58136c0c23fb17353433d3a9bbda9a54731c796ebd8261

Observation 118a3762-d292-4c17-9932-914714049e27 · outbound

This paper cites ViTPose: Simple vision transformer baselines for human pose estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer ViTPose: Simple vision transformer baselines for human pose estimation

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source=pdf_text observed=2026-08-04T01:22:54.110270Z digest=sha256:2a45a1f079d4128bee8a53eab9e9c04593aead337968cd0b92c1c4ecf83b83e3

Observation f86aeee3-64bf-4f7c-8995-09790e729185 · outbound

This paper cites Latent action pretraining from videos.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Latent action pretraining from videos

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source=pdf_text observed=2026-08-04T01:22:54.203234Z digest=sha256:a0d9deffda26e9387e7a516b9cc7bfa1120250608417e855cb958da81c1e97de

Observation 0726349b-97cf-43ef-854b-8890bac421c7 · outbound

This paper cites EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

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source=pdf_text observed=2026-08-04T01:22:54.356838Z digest=sha256:478182709b777965959ad4c7739310620903a81f61757ea6d862ccc85f2fe9d7

Observation 6cc8f5d6-0944-4c31-b7b0-283b7df0c085 · outbound

This paper cites Dexmv: Imitation learning for dexterous manipula- tion from human videos.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Dexmv: Imitation learning for dexterous manipula- tion from human videos

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source=pdf_text observed=2026-08-04T01:22:54.482233Z digest=sha256:9fc94e8a72f7e01b9cf672cd394467bcd688925806ab0bfff39fd6185678e39e

Observation 99d516c3-50f9-4900-b4cc-fa608ee1563f · outbound

This paper cites EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations

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source=pdf_text observed=2026-08-04T01:22:54.554263Z digest=sha256:6cc1ab07b5d4d6edd929350c29986a674505d370bada358019d377197b66e08b

Observation aa4dd80e-87eb-48fd-ac4c-519aa3aacde0 · outbound

This paper cites Efficient annotation and learning for 3D hand pose estimation: A survey.Int.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Efficient annotation and learning for 3D hand pose estimation: A survey.Int

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source=pdf_text observed=2026-08-04T01:22:54.642312Z digest=sha256:bee01fa5b23b4a6858ec759c3aaea765ae2fb34a6e614f5cf256290c7ac9ee70

Observation a8405292-e84a-47fc-9aab-728dd4c36836 · outbound

This paper cites A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images.Comput.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images.Comput

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source=pdf_text observed=2026-08-04T01:22:54.728942Z digest=sha256:d9077c55604c5af56121a6c6cd4ee69ee992efddc3642847d91da13b935115c8

Observation 406d7d25-e1c6-4426-88be-f7c6d51c99cd · outbound

This paper cites Advances in vision-based deep learning methods for interacting hands reconstruction: A survey.Comput.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Advances in vision-based deep learning methods for interacting hands reconstruction: A survey.Comput

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source=pdf_text observed=2026-08-04T01:22:54.827206Z digest=sha256:2d4df78b1a94ac56d108cc5eea161122d45c577a6950b9d7a18d58b084ece3df

Observation 2351fc51-c878-45bb-bc0f-b1dfa6616d18 · outbound

This paper cites An overview of learning-based dexterous grasping: recent advances and future directions.Artif.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer An overview of learning-based dexterous grasping: recent advances and future directions.Artif

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source=pdf_text observed=2026-08-04T01:22:54.952358Z digest=sha256:0685035e7b2667897f437e2e9b08e67e2685198314447fd9e3959e2f3c7a6460

Observation 0a22e084-5de6-4fe7-89e0-4eee0010e1b2 · outbound

This paper cites Arthoi: Taming foundation models for monocular 4D reconstruction of hand-articulated- object interactions.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Arthoi: Taming foundation models for monocular 4D reconstruction of hand-articulated- object interactions

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source=pdf_text observed=2026-08-04T01:22:55.074039Z digest=sha256:e9f02a1c3839f3ed6ed4c8de1841ee99e5a7447ef24d00c4688854dbef8c5a61

Observation 9eb4f6b0-85d4-4a5e-8e4f-4ee3f0950095 · outbound

This paper cites an unresolved cited work.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Unresolved cited work

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source=pdf_text observed=2026-08-04T01:22:55.146492Z digest=sha256:db5c5cd7c14a2b7d249791c404a4b5a4588ec723b01bae9bcbdaad3c74e2b688

Observation 42107617-8483-4a64-9de3-8da8de6f0c4b · outbound

This paper cites Nimble: a non-rigid hand model with bones and muscles.ACM Trans.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Nimble: a non-rigid hand model with bones and muscles.ACM Trans

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source=pdf_text observed=2026-08-04T01:22:55.265194Z digest=sha256:e434ad6cdeb0a0b96c42c61eb5a128fa7ab6e1f66126acfc939ddf394bda570e

Observation 1b1bfeb5-689c-4a47-8856-c6b3902f5d2f · outbound

This paper cites HOnnotate: A method for 3D an- notation of hand and object poses.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HOnnotate: A method for 3D an- notation of hand and object poses

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source=pdf_text observed=2026-08-04T01:22:55.425020Z digest=sha256:b858079820fb3135914f47960692a252b20053edecda6a7997ac63990c899b83

Observation f71c8eb6-3635-43e8-b4a7-fdd08247b964 · outbound

This paper cites AlignSDF: Pose-aligned signed distance fields for hand-object reconstruction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer AlignSDF: Pose-aligned signed distance fields for hand-object reconstruction

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source=pdf_text observed=2026-08-04T01:22:55.572571Z digest=sha256:d1c40e34f171ce280126360dc6195e5b5d8f1ded73e5af7bed159d211c0320c7

Observation d35d45c3-63ff-4e2b-be63-0c836fdc124f · outbound

This paper cites HandNeRF: Learn- ing to reconstruct hand-object interaction scene from a single RGB image.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HandNeRF: Learn- ing to reconstruct hand-object interaction scene from a single RGB image

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source=pdf_text observed=2026-08-04T01:22:55.672170Z digest=sha256:ad24016dfc53ad2b72c1f094b6458c503b0fefc0c0164d81d8703dddef4cf9bf

Observation 8db8f041-be2b-4164-90bb-d88343e18cf0 · outbound

This paper cites Simultaneous localization and mapping: part i.IEEE Robot.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Simultaneous localization and mapping: part i.IEEE Robot

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source=pdf_text observed=2026-08-04T01:22:55.802465Z digest=sha256:da6c1865294c094a13d19680fe36a44176e9d60efd409bb98341e8db17ac929a

Observation e0acbb35-f23a-44ed-9efb-9d1eb51526c9 · outbound

This paper cites Seitz, and Richard Szeliski.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Seitz, and Richard Szeliski

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source=pdf_text observed=2026-08-04T01:22:55.913093Z digest=sha256:e49a3f4e6dbdea58da9021db57934ccec7ee1260a6fe779a3af7d7b3a2d3843f

Observation cde77d81-015c-4ac4-9bd5-9477a66959fb · outbound

This paper cites LatentHOI: On the generalizable hand object motion generation with latent hand diffusion.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer LatentHOI: On the generalizable hand object motion generation with latent hand diffusion

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source=pdf_text observed=2026-08-04T01:22:56.075182Z digest=sha256:d119ee1c0cd2a43405869d5128e5e8df37ab3c1f8a14526d53b53d6cbab3aa29

Observation c1aea375-1c59-496a-9e02-81394cc36685 · outbound

This paper cites 3D hand pose estimation in everyday egocentric images.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer 3D hand pose estimation in everyday egocentric images

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source=pdf_text observed=2026-08-04T01:22:56.210436Z digest=sha256:0821b7668bcfc8d1d03d4b734b9addf262017edfb39b0c3efa210360d1376913

Observation f36d2540-d027-4187-95c0-879c7b4d2a95 · outbound

This paper cites DDF-HO: Hand-held object recon- struction via conditional directed distance field.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer DDF-HO: Hand-held object recon- struction via conditional directed distance field

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source=pdf_text observed=2026-08-04T01:22:56.297514Z digest=sha256:db774fb8768e3906144b93c3a09cfc18cfd016bee6023998b30ab419c814e3f1

Observation 7a03ccac-87af-4a9b-9a9a-c07077f00aa3 · outbound

This paper cites Ncrf: neural contact radiance fields for free-viewpoint rendering of hand-object interaction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Ncrf: neural contact radiance fields for free-viewpoint rendering of hand-object interaction

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source=pdf_text observed=2026-08-04T01:22:56.432429Z digest=sha256:9ef94a0a3144c7cb05796ac9ebba2e15fc6f448ba468546fe8a86e2940d615ba

Observation 01cc4753-1265-404d-a6dd-af820c5cec09 · outbound

This paper cites Gan- hand: Predicting human grasp affordances in multi- object scenes.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Gan- hand: Predicting human grasp affordances in multi- object scenes

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source=pdf_text observed=2026-08-04T01:22:56.576564Z digest=sha256:b8473469a7f312989919e4be2d97ead061a66f47bc0ba3fa39e3e22d1bb9aa01

Observation b88017eb-beee-4bb4-900c-ff9c7d76c0dc · outbound

This paper cites Artigrasp: Physically plausible synthesis of bi-manual dexterous grasping and articulation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Artigrasp: Physically plausible synthesis of bi-manual dexterous grasping and articulation

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source=pdf_text observed=2026-08-04T01:22:56.657061Z digest=sha256:245743131ab396b384c5a2793486e25f5f7361a95f57637eba1a000c5c217cb0

Observation 5ef33bdf-fb0d-4841-9818-8f4433acb01f · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Deepsdf: Learning continuous signed distance functions for shape representation

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source=pdf_text observed=2026-08-04T01:22:56.827709Z digest=sha256:fecc9f5dde2b19247eec71703869b9714d558dc60b8d31d404b09f769de9335b

Observation c01a6e45-cf3a-430c-9710-83178f194d7c · outbound

This paper cites A skeleton-driven neural occupancy representation for articulated hands.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer A skeleton-driven neural occupancy representation for articulated hands

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source=pdf_text observed=2026-08-04T01:22:56.936168Z digest=sha256:bff7921df725325a37ee3cc20c5863c43dbcc243772aa7f78477d6660eb42c2e

Observation dd3bd7ac-a67c-46d8-8093-25c7285d5ff3 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Srinivasan, Matthew Tancik, Jonathan T

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source=pdf_text observed=2026-08-04T01:22:57.017313Z digest=sha256:07aa452382bdec2ff8b05ec9116aa0db79dd1ce7e517cdb8558a85ed4217fe2d

Observation 0075480a-3acc-4fc6-9ac5-922ca8e9e29e · outbound

This paper cites 3D gaussian splat- ting for real-time radiance field rendering.ACM Trans.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer 3D gaussian splat- ting for real-time radiance field rendering.ACM Trans

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source=pdf_text observed=2026-08-04T01:22:57.109026Z digest=sha256:d67f596bd47389441ef1fa5366cddba78aa9cf455aa8e4e9f60a1eb2c40be1ff

Observation 69d00b1f-ccec-442c-b01d-c09c0764152a · outbound

This paper cites Affordpose: A large-scale dataset of hand- object interactions with affordance-driven hand pose.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Affordpose: A large-scale dataset of hand- object interactions with affordance-driven hand pose

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source=pdf_text observed=2026-08-04T01:22:57.190200Z digest=sha256:ea6f40eb15b6519c5bac137ba7aa1811c22aa27d7638b682a5efbe5792f806b6

Observation 198581df-a7aa-423c-ad90-280e65f71848 · outbound

This paper cites an unresolved cited work.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Unresolved cited work

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source=pdf_text observed=2026-08-04T01:22:57.287359Z digest=sha256:96d1a2962f5b9cac64d896b5f7ddd69ad398337c84bd00465863549cefb936f7

Observation b9a5ac01-2b4d-4a1a-be34-ed4b42776a58 · outbound

This paper cites Black, and Dima Damen.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Black, and Dima Damen

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source=pdf_text observed=2026-08-04T01:22:57.396175Z digest=sha256:12c6e98e7235375e61c0f97feefe9bf898d07f3e935a812b99db222c11115fe5

Observation 114776fd-6dab-4776-b2fc-5ecaf72e1e7b · outbound

This paper cites HOI4D: A 4D egocentric dataset for category-level human-object interaction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HOI4D: A 4D egocentric dataset for category-level human-object interaction

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source=pdf_text observed=2026-08-04T01:22:57.520287Z digest=sha256:b52ecba92f508c38cdd28e5718bf3f1cfcc99fd16b9d984470fccf6ee262085c

Observation 913fbdb6-db28-49fd-8652-45bbc3c265f9 · outbound

This paper cites Arctic: A dataset for dexterous bimanual hand-object manipulation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Arctic: A dataset for dexterous bimanual hand-object manipulation

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source=pdf_text observed=2026-08-04T01:22:57.624031Z digest=sha256:91479b64a1c8514d9870788416442d29ca582c959a659b87bfa33308230c5190

Observation 95c9706f-b27b-46f1-825e-565f5aecf388 · outbound

This paper cites Handoccnet: Occlusion-robust 3D hand mesh estimation network.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Handoccnet: Occlusion-robust 3D hand mesh estimation network

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source=pdf_text observed=2026-08-04T01:22:57.730835Z digest=sha256:ea54b7fd936857ccb941bdfb37976d47e3909de2cf9508518a747be3c7a71547

Observation 05a743c8-97a7-429d-90bc-03d9cfdfe025 · outbound

This paper cites Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image

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source=pdf_text observed=2026-08-04T01:22:57.837367Z digest=sha256:62d8dc3e0242c8a47d08e8a53212af5ccbadb171017e76a60aa317b2e73eabfc

Observation 06d93b26-98e1-4df1-b87c-e638c51fe649 · outbound

This paper cites A simple baseline for ef- ficient hand mesh reconstruction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer A simple baseline for ef- ficient hand mesh reconstruction

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source=pdf_text observed=2026-08-04T01:22:57.929227Z digest=sha256:3d3eeaafcc48a82f655ce0d1dca5613cc07097c0311a6bfad864c32ff5dc02ca

Observation df4b27c9-ead8-4912-8e4f-dfa10e30da9c · outbound

This paper cites Model-based 3D hand reconstruction via self- supervised learning.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Model-based 3D hand reconstruction via self- supervised learning

Reference 74

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source=pdf_text observed=2026-08-04T01:22:58.009125Z digest=sha256:fcffc9a955d647342ebb508a5b91db09ccf954fda9f09f57bddcff38875fe608

Observation acc3005f-c938-4f5b-97b9-f712e852262c · outbound

This paper cites Keypoint fusion for RGB-D based 3D hand pose estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Keypoint fusion for RGB-D based 3D hand pose estimation

Reference 75

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source=pdf_text observed=2026-08-04T01:22:58.120732Z digest=sha256:8c0c754f2999e119546fd5026edf46acba7f7eb0174b97410ccbb93112ffde26

Observation fc2e6c0c-7c98-4b87-8115-41ee7e2a7784 · outbound

This paper cites Hope-net: A graph-based model for hand-object pose estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Hope-net: A graph-based model for hand-object pose estimation

Reference 76

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source=pdf_text observed=2026-08-04T01:22:58.243383Z digest=sha256:ee85c392ea77e2acdef9935b635ab5833e2b9467a2f105b09e1af57ced5b91dd

Observation 12227234-0bbb-4729-935c-0fe72c1fff63 · outbound

This paper cites Keypoint transformer: Solv- ing joint identification in challenging hands and ob- ject interactions for accurate 3D pose estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Keypoint transformer: Solv- ing joint identification in challenging hands and ob- ject interactions for accurate 3D pose estimation

Reference 77

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source=pdf_text observed=2026-08-04T01:22:58.302109Z digest=sha256:e914ca57e5bd5236d625b3b5871b8c1670738ce7707ce81d9096940805edfabf

Observation 73325612-55ee-46d7-a039-8c031a9b2061 · outbound

This paper cites Thor-net: End-to-end graformer-based realistic two hands and object reconstruction with self-supervision.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Thor-net: End-to-end graformer-based realistic two hands and object reconstruction with self-supervision

Reference 78

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source=pdf_text observed=2026-08-04T01:22:58.370098Z digest=sha256:4268b0860c9d49b567e5aa840468849338f654b4b3a3ac6d738a86d521e26e0e

Observation 07e9bd65-6d4f-41de-b8b1-614419f8e19f · outbound

This paper cites HOISDF: Constraining 3D hand- object pose estimation with global signed distance fields.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer HOISDF: Constraining 3D hand- object pose estimation with global signed distance fields

Reference 79

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:58.456383Z digest=sha256:b93255a7be1af2f2e46c86dfc395b359ed673fb36d43aa741a1a20c113ac6492

Observation 83fe54dd-178d-44df-a25f-a5725bc9ef8f · outbound

This paper cites Contactart: Learning 3D interaction priors for category-level ar- ticulated object and hand poses estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Contactart: Learning 3D interaction priors for category-level ar- ticulated object and hand poses estimation

Reference 80

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no resolver link, observed 2026-08-04T01:22:58.593019Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:58.593019Z digest=sha256:d04c3314c94436fd6e84b25c08e06b706af4ec8d180292adc3d3560767caf797

Observation a59716fd-69d4-48c8-b06e-69a98e4085b9 · outbound

This paper cites gSDF: Geometry-driven signed dis- tance functions for 3D hand-object reconstruction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer gSDF: Geometry-driven signed dis- tance functions for 3D hand-object reconstruction

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:58.663773Z digest=sha256:e31de06307175db7e28ea8df62b2270bf43e441470e8b7b3288d5bdab2cb4247

Observation e9d0fd2e-2eb7-47fd-a111-0b63f1eb8a8c · outbound

This paper cites Chord: Category-level hand-held object recon- struction via shape deformation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Chord: Category-level hand-held object recon- struction via shape deformation

Reference 82

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:58.825020Z digest=sha256:4fc70796376bd099ff02a2b05b465fcfa671b6e94c054a813962f83f0155e8a4

Observation cc1f1df3-510d-411c-bbad-6f00e5af377d · outbound

This paper cites Reconstructing hand-held objects from monoc- ular video.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Reconstructing hand-held objects from monoc- ular video

Reference 83

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:58.915024Z digest=sha256:a6fba429e7082c8b55552af6b4feae04ab2aea9beb11207099d039ba9592cf31

Observation f8062cae-1a55-4fcc-8384-a57c50e3994f · outbound

This paper cites Moho: Learning single-view hand-held object reconstruction with multi-view occlusion-aware su- pervision.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Moho: Learning single-view hand-held object reconstruction with multi-view occlusion-aware su- pervision

Reference 84

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source=pdf_text observed=2026-08-04T01:22:59.096950Z digest=sha256:3208ebcf0033d6461570efd0cd441b720a6c007058d8eadf977bc1af907935e2

Observation 40a51ced-b621-4a4e-a969-b8801bd601ba · outbound

This paper cites Texhoi: Reconstructing textures of 3D unknown ob- jects in monocular hand-object interaction scenes.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Texhoi: Reconstructing textures of 3D unknown ob- jects in monocular hand-object interaction scenes

Reference 85

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no resolver link, observed 2026-08-04T01:22:59.198056Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.198056Z digest=sha256:58dc9d2d6393f199d0571f46aca7c59423ad47e7987ee0b75b79c8415a897df7

Observation 1a4770e3-c88f-4eaa-9474-27f3f25803b4 · outbound

This paper cites SeqHAND: RGB-sequence-based 3D hand pose and shape estimation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer SeqHAND: RGB-sequence-based 3D hand pose and shape estimation

Reference 86

Resolution
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no resolver link, observed 2026-08-04T01:22:59.263162Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.263162Z digest=sha256:85679255b7c1c14ba786026b761beb20eb0ea4b1dc4e412902ab018f59b7ec75

Observation 41d55699-7ca9-4229-b732-3f2f9654f79e · outbound

This paper cites Dyn-hamr: Recovering 4D interacting hand motion from a dynamic camera.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Dyn-hamr: Recovering 4D interacting hand motion from a dynamic camera

Reference 87

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no resolver link, observed 2026-08-04T01:22:59.376653Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.376653Z digest=sha256:5b3956d5d69b0b51d7e5b86e8382cab3b68c92edf96e570449cae7647fb808b1

Observation 5e9be14e-aea6-46db-ba1e-be5736e76010 · outbound

This paper cites Interactionfusion: real-time reconstruction of hand poses and deformable objects in hand-object interac- tions.ACM Trans.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Interactionfusion: real-time reconstruction of hand poses and deformable objects in hand-object interac- tions.ACM Trans

Reference 88

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.525634Z digest=sha256:792367bcd1d4e5cebd644bb6ef851d09174ca4690560e50d415195e89a5d1b7d

Observation f46de3a4-1499-407a-8d46-b76b7e602e5c · outbound

This paper cites Interaction-Aware 4D Gaussian Splatting for Dynamic Hand-Object Interaction Reconstruction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Interaction-Aware 4D Gaussian Splatting for Dynamic Hand-Object Interaction Reconstruction

Reference 89

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.626969Z digest=sha256:191a192d3736f08e81e448a2f3ba7501a93def8bb43ff64fc1a6c9c27bf0bb70

Observation 445b0085-35ac-4bee-8d6f-d253c1468b99 · outbound

This paper cites Physics-aware hand-object interaction denoising.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Physics-aware hand-object interaction denoising

Reference 90

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no resolver link, observed 2026-08-04T01:22:59.756084Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:22:59.756084Z digest=sha256:cad960b21d311de09bbdeedc9379f05303e36c4028d8026142374ccb4990506b

Observation 420ebeb7-cead-4ed2-a23b-70b3b4344d8e · outbound

This paper cites Grab: A dataset of whole-body hu- man grasping of objects.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Grab: A dataset of whole-body hu- man grasping of objects

Reference 91

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source=pdf_text observed=2026-08-04T01:22:59.850958Z digest=sha256:6785373363e2a8ffbf6ea2aeeaf2d44cc9046c0f3bedae6700a13adae028c513

Observation ff625b7b-c50c-4038-a464-b59a39a064ea · outbound

This paper cites Hand-object contact consistency reason- ing for human grasps generation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Hand-object contact consistency reason- ing for human grasps generation

Reference 92

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source=pdf_text observed=2026-08-04T01:22:59.982065Z digest=sha256:00da8702a339a0a7d07d45a05ce9ae89acee33a67887dfe507a65e2c5c1e5657

Observation bc8b9779-32b3-4c41-a761-97cf4e6b3ab1 · outbound

This paper cites Contactgen: Generative contact modeling for grasp generation.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Contactgen: Generative contact modeling for grasp generation

Reference 93

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no resolver link, observed 2026-08-04T01:23:00.097845Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:23:00.097845Z digest=sha256:b229183c03399e2b07aaa85fadff014e75c3dd0e5f40f3d4a1b1276d38329164

Observation d8d66953-fa53-47cf-9474-e326f2e905bf · outbound

This paper cites Contact2grasp: 3D grasp synthesis via hand-object contact constraint.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Contact2grasp: 3D grasp synthesis via hand-object contact constraint

Reference 94

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no resolver link, observed 2026-08-04T01:23:00.217266Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:23:00.217266Z digest=sha256:c125a4b8b51a22b24ae48d70dc4c9a75ebf143d358fadc979c9c09f53eddebae

Observation f08293ba-ab90-4ffe-abbd-e11a477dc7fd · outbound

This paper cites G-hop: Generative hand-object prior for interaction reconstruction and grasp synthesis.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer G-hop: Generative hand-object prior for interaction reconstruction and grasp synthesis

Reference 95

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no resolver link, observed 2026-08-04T01:23:00.276639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:00.276639Z digest=sha256:1488ddab6c3fcecfa8c0e8fc71a8f24b3eba685f2e76ffc988088815195605a7

Observation 69c01d6e-33ab-4b77-90d3-d26527f70546 · outbound

This paper cites Clickdiff: click to induce semantic contact map for controllable grasp generation with diffusion models.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Clickdiff: click to induce semantic contact map for controllable grasp generation with diffusion models

Reference 96

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no resolver link, observed 2026-08-04T01:23:00.336558Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:23:00.336558Z digest=sha256:38ded4d19eca4184d1f6cfa4b88ea366a2e52589f86ac59081a4214b13bc70bb

Observation cdbaaaf4-cc3e-40ed-8cda-615b549703e9 · outbound

This paper cites Fastgrasp: Efficient grasp synthesis with diffusion.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Fastgrasp: Efficient grasp synthesis with diffusion

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no resolver link, observed 2026-08-04T01:23:00.390765Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T01:23:00.390765Z digest=sha256:7de5a44af759da7dddb581821e3a659eb8b8229ecac8e2f939612c7f7c7a9c83

Observation 09941b13-6c01-4b3c-86a5-fd63442d2982 · outbound

This paper cites Text2HOI: Text-guided 3D motion gener- ation for hand-object interaction.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Text2HOI: Text-guided 3D motion gener- ation for hand-object interaction

Reference 98

Resolution
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no resolver link, observed 2026-08-04T01:23:00.429073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:00.429073Z digest=sha256:996df30088b04bb2cc2ae59808afb25f04fa07c872a4bcd7c7df3320f63961cf

Observation 68898c1c-7243-492c-ba06-9dfcea5b1430 · outbound

This paper cites Bimart: A unified approach for the synthesis of 3D bimanual in- teraction with articulated objects.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Bimart: A unified approach for the synthesis of 3D bimanual in- teraction with articulated objects

Reference 99

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no resolver link, observed 2026-08-04T01:23:00.511671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:00.511671Z digest=sha256:4c0e87d5fbdd1bb53528b7ae0ed934741a829f94e65c0bc78a99b801f2107230

Observation ba421b2d-f64f-4397-bcf5-2b9eef9635b7 · outbound

This paper cites Manivideo: Generating hand-object ma- nipulation video with dexterous and generalizable grasping.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Manivideo: Generating hand-object ma- nipulation video with dexterous and generalizable grasping

Reference 100

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no resolver link, observed 2026-08-04T01:23:00.584697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:00.584697Z digest=sha256:cffa8729b10735bac5b9758edf88319e7df8bf5fb4ab398004be927f2fb406fa

Pith citing papers

No inbound Pith citation observations are available.