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Paper Citation Record · LEDGER

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

As of 22 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2607.28625.

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

pith.paper-citation-record.v1
2607.28625 v1

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:49:33.745804Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 116 outbound references displayed

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  • verified fuzzy0
  • unresolved100
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 879e9cb3-1bb8-4bae-9c47-1abf62287305 · outbound

This paper cites Psychology press, 2014.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Psychology press, 2014

Reference 1

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source=pdf_text observed=2026-07-31T01:49:33.225186Z digest=sha256:378b52f5ff8a66821b7abe5b093e259b553f606066dd6a57547b3ebdad565163

Observation f232d37f-4d81-495c-8e23-7a1b3a6d7595 · outbound

This paper cites MIT press, 2006.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine MIT press, 2006

Reference 2

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source=pdf_text observed=2026-07-31T01:49:33.231808Z digest=sha256:df45e35f287f3d7991932b8476c8d1d6a3c8312ee48f2e48d24c687952bc5777

Observation 8c3f49bb-29f4-4754-8b21-c20f7080caab · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine ImageNet: A large-scale hierarchical image database

Reference 3

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Observation feb36025-ba31-43b1-8902-a79234741ad1 · outbound

This paper cites LAION-5B: an open large-scale dataset for training next generation image-text models.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine LAION-5B: an open large-scale dataset for training next generation image-text models

Reference 4

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source=pdf_text observed=2026-07-31T01:49:33.243016Z digest=sha256:3a025e1344864b96821ea64a5a60c3396d2c28931ee75cf898ef8ef8038cf995

Observation a27bb215-f311-4c7c-b7d0-0aff95d3e5e2 · outbound

This paper cites Learning transferable visual models from natural language supervision.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Learning transferable visual models from natural language supervision

Reference 5

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source=pdf_text observed=2026-07-31T01:49:33.248515Z digest=sha256:84b4f63c1f4c781d5e1cd69eb544af18c0c756b9d1e359e2f6fc00b42b84e60b

Observation 6ac618ad-06f9-42f5-82d7-fa1d3dd16295 · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-31T01:49:33.254123Z digest=sha256:09885005b529ef4807846cc52a08d2844e6f607f1aeda16bfbbc177c7eca7bf4

Observation 50290962-0ee4-431f-b7e0-30c4e11fc3c2 · outbound

This paper cites Ego-Exo4D: understanding skilled human activity from first- and third-person perspectives.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Ego-Exo4D: understanding skilled human activity from first- and third-person perspectives

Reference 7

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source=pdf_text observed=2026-07-31T01:49:33.260957Z digest=sha256:3bd3a8afb8e4d43b2e3cd10775fd44915905cc663d63b9a86c9d420e11dedefe

Observation be1c4826-89a8-4a28-a554-81d56c485972 · outbound

This paper cites Rescal- ing egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100.IJCV, 130 (1):33–55, 2022.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Rescal- ing egocentric vision: Collection, pipeline and challenges for EPIC-KITCHENS-100.IJCV, 130 (1):33–55, 2022

Reference 8

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source=pdf_text observed=2026-07-31T01:49:33.268316Z digest=sha256:cd40b603f603907c87afdaf471c580bad347bd8ea7c680b1b62d6eac46b49477

Observation 4c5611db-f896-4927-9d7b-fd0d121c4a76 · outbound

This paper cites Xperience-10M: A large-scale egocentric multimodal dataset with structured 3D/4D annotations.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Xperience-10M: A large-scale egocentric multimodal dataset with structured 3D/4D annotations

Reference 9

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source=pdf_text observed=2026-07-31T01:49:33.274668Z digest=sha256:027be919be22576d40145ff4b2bc540a950fa57db26737467f219e27fbe90e3d

Observation f14ec871-4699-41e6-bdd6-fb3dbf764c5a · outbound

This paper cites Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll

Reference 10

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source=pdf_text observed=2026-07-31T01:49:33.279218Z digest=sha256:50c0ff8ade1f7db8b307d473cb547fa4ad33a004df973debf6539ad81169cc9d

Observation bdd49de7-83c0-4879-9884-5349cd476bd3 · outbound

This paper cites Black, and Dimitrios Tzionas.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Black, and Dimitrios Tzionas

Reference 11

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source=pdf_text observed=2026-07-31T01:49:33.284581Z digest=sha256:5d1df2a6055274c1ee482f2d5359c285be58e15cfb0d2e92e814f01f7a08e43a

Observation af641d71-a056-4341-aade-d0b91f2b822f · outbound

This paper cites Black, and Otmar Hilliges.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Black, and Otmar Hilliges

Reference 12

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source=pdf_text observed=2026-07-31T01:49:33.290186Z digest=sha256:9736d2c1de46bd8cdb2c5305bbd5d71b6f70217e092c85ab75fed1cd78d9a09f

Observation 87300a18-29bd-4c5f-90e9-61ac4b1adb50 · outbound

This paper cites OAKINK2: A dataset of bimanual hands-object manipulation in complex task completion.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine OAKINK2: A dataset of bimanual hands-object manipulation in complex task completion

Reference 13

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source=pdf_text observed=2026-07-31T01:49:33.296158Z digest=sha256:1f39008d6fa8b1dc8bacf7d712329d974c486a7988bf0df26c30b249fdb79639

Observation 818572e7-1c4e-4d0f-8647-c3044327f3c2 · outbound

This paper cites HOT3D: hand and object tracking in 3D from egocentric multi-view videos.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HOT3D: hand and object tracking in 3D from egocentric multi-view videos

Reference 14

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source=pdf_text observed=2026-07-31T01:49:33.302430Z digest=sha256:f6f2157d001105aa0f44099bc31bd61306f04853004b9e2dc86b38daa1406103

Observation 5df76361-e5bb-4777-8545-17b2eb791384 · outbound

This paper cites Twigg, Charles C.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Twigg, Charles C

Reference 15

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source=pdf_text observed=2026-07-31T01:49:33.307154Z digest=sha256:43f4317d5fd8be9f87f1e8fa07346b4b40b506b903e32eb5fa05b80a7734cb25

Observation a8bffe3e-b1b9-4901-bf29-8b6f3b969c56 · outbound

This paper cites Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Dieter Fox.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, and Dieter Fox

Reference 16

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source=pdf_text observed=2026-07-31T01:49:33.317559Z digest=sha256:cf79b2f68608df687849f6f43e1cc5a294ecedfc7bfb24819a117d31e04bfb8a

Observation 08ffca69-f4bc-444d-b521-7c19d2835e0d · outbound

This paper cites GigaHands: A massive annotated dataset of bimanual hand activities.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine GigaHands: A massive annotated dataset of bimanual hand activities

Reference 17

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Observation 2c412903-c00f-47b7-b684-afb553a16713 · outbound

This paper cites H2O: two hands manipulating objects for first person interaction recognition.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine H2O: two hands manipulating objects for first person interaction recognition

Reference 18

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source=pdf_text observed=2026-07-31T01:49:33.328883Z digest=sha256:5dba453ee993764ead95c066d21e9382277a388137cd818f54856c74b65bbe7a

Observation e890aeb5-40b5-41f5-acbc-5fb880a0540b · outbound

This paper cites World Action Models are Zero-shot Policies.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine World Action Models are Zero-shot Policies

Reference 19

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Observation af45fa92-57e4-4de6-ada5-eacc55bee322 · outbound

This paper cites EgoVLA: learning vision-language-action models from egocentric human videos.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoVLA: learning vision-language-action models from egocentric human videos

Reference 20

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source=pdf_text observed=2026-07-31T01:49:33.339763Z digest=sha256:3036b411f752276d7470da1cf0ae1736cf438ac01ab25183cd3518093226fc1c

Observation ad2851d1-8704-4d95-9eb2-7ac3429e0e4e · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-31T01:49:33.345444Z digest=sha256:2fff5763de632e80ea17e88094060862fda71889cd073dc307ffe6e8c1f0fe04

Observation 012d56aa-efda-4d24-984a-4ecf8431072c · outbound

This paper cites World Guidance: world modeling in condi- tion space for action generation.arXiv 2602.22010, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine World Guidance: world modeling in condi- tion space for action generation.arXiv 2602.22010, 2026

Reference 22

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Observation 0c8fe210-974d-4b92-9328-f0309fbf6f58 · outbound

This paper cites Ego4D: around the world in 3,000 hours of egocentric video.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Ego4D: around the world in 3,000 hours of egocentric video

Reference 23

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Observation 51aff577-ddea-442a-a478-bfa757c5e480 · outbound

This paper cites HoloAssist: an egocentric human interaction dataset for interactive AI assistants in the real world.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HoloAssist: an egocentric human interaction dataset for interactive AI assistants in the real world

Reference 24

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Observation eca0bb09-b702-4a98-9529-4aa6bd876839 · outbound

This paper cites EgoLife: towards egocentric life assistant.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoLife: towards egocentric life assistant

Reference 25

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Observation fa6fa0e6-0833-43a2-8592-c5197f35772b · outbound

This paper cites HD-EPIC: A highly-detailed egocentric video dataset.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HD-EPIC: A highly-detailed egocentric video dataset

Reference 26

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Observation fd6dfc02-e6db-47d7-8222-92f4cfe6e566 · outbound

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

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HOnnotate: A method for 3D annotation of hand and object poses

Reference 27

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Observation e7a5caba-c88e-48d8-92c9-adaf982651ec · outbound

This paper cites OakInk: A large-scale knowledge repository for understanding hand-object interaction.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine OakInk: A large-scale knowledge repository for understanding hand-object interaction

Reference 28

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Observation fef109d7-a8f3-4040-ad65-a6b05a534795 · outbound

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

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HOI4D: A 4D egocentric dataset for category-level human-object interaction

Reference 29

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Observation 7cab9458-0dc1-40d1-947b-f4e22d9b9ecc · outbound

This paper cites TACO: benchmarking generalizable bimanual Tool-ACtion-Object understanding.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine TACO: benchmarking generalizable bimanual Tool-ACtion-Object understanding

Reference 30

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Observation eeaca5a6-ca3f-4295-a0b8-5ffa0c1db2d3 · outbound

This paper cites Black, and Dimitrios Tzionas.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Black, and Dimitrios Tzionas

Reference 31

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source=pdf_text observed=2026-07-31T01:49:33.400341Z digest=sha256:e2763ac497d4b757f8aae2ac8c070d7088d7359e5cba097e30d9440c797ecf3b

Observation cace825b-a1a2-40d9-a5f2-1f2270429326 · outbound

This paper cites Full-body articulated human-object interaction.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Full-body articulated human-object interaction

Reference 32

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Observation 4c5de06b-b453-4e58-912d-9c446fbed725 · outbound

This paper cites EgoBody: human body shape and motion of interacting people from head- mounted devices.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoBody: human body shape and motion of interacting people from head- mounted devices

Reference 33

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Observation 380f3816-4b2d-4303-9cfb-975dc9dd01dc · outbound

This paper cites Parkhi, Richard A.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Parkhi, Richard A

Reference 34

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source=pdf_text observed=2026-07-31T01:49:33.421116Z digest=sha256:82e7bd3f690d6a7b0dd62c47138448de7e3592e53e9c5f18e7fccf0fc6843aae

Observation 38564602-ea2e-43ae-bf90-a10cafe099e2 · outbound

This paper cites Karen Liu.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Karen Liu

Reference 35

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Observation c09bb9b7-e8ad-4e88-b857-808b15661a4d · outbound

This paper cites HIMO: A new benchmark for full-body human interacting with multiple objects.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HIMO: A new benchmark for full-body human interacting with multiple objects

Reference 36

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source=pdf_text observed=2026-07-31T01:49:33.431309Z digest=sha256:90530aa8a86a117633d3a01e8ddf73b279770588f968093706129cc127b72540

Observation c24dbc2d-6816-4ed4-aada-f8b24e939761 · outbound

This paper cites Scaling up dynamic human-scene interaction modeling.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Scaling up dynamic human-scene interaction modeling

Reference 37

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source=pdf_text observed=2026-07-31T01:49:33.436600Z digest=sha256:6b94e2ddf71d947ae5d1b80c21c6f9acc47ed8dbace6047feb9f04c793c6b360

Observation 193d9b80-3f4a-44a2-a34b-56615a2bfb8e · outbound

This paper cites ParaHome: parameterizing ev- eryday home activities towards 3D generative modeling of human-object interactions.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine ParaHome: parameterizing ev- eryday home activities towards 3D generative modeling of human-object interactions

Reference 38

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source=pdf_text observed=2026-07-31T01:49:33.444044Z digest=sha256:06c2c9e1498c5a8389a3f3dc8cea3481f5e7f6ef45f6757c62d9e9016f935090

Observation 48f7db7f-ce3f-4952-b79c-0ba33285b7b5 · outbound

This paper cites Karen Liu, Ziwei Liu, Jakob J.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Karen Liu, Ziwei Liu, Jakob J

Reference 39

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source=pdf_text observed=2026-07-31T01:49:33.449000Z digest=sha256:662eb4eb7c63f1710f996c33629ed6beaa25e226f675efec65ca10575b5f4809

Observation 44cc136d-57ff-4667-b6f5-dd6cff3b4d1b · outbound

This paper cites HUMOTO: A 4D dataset of mocap human object interactions.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HUMOTO: A 4D dataset of mocap human object interactions

Reference 40

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source=pdf_text observed=2026-07-31T01:49:33.454299Z digest=sha256:401afe57ee012a1be16e224c295cc5b71aa907f955a2b0d4eaf2c469db7165b0

Observation 74c3bee2-2321-43df-bd07-a62f95351660 · outbound

This paper cites Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen- Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, and Sergey Levine.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen- Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, and Sergey Levine

Reference 41

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source=pdf_text observed=2026-07-31T01:49:33.460262Z digest=sha256:4c18d56a17ef6c8830809c6b42f05c8c1f320ca3e94abdb1c05ce8991f1142b3

Observation 110e55a4-16bc-4afc-a2ef-6f48dff7302b · outbound

This paper cites RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot

Reference 42

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source=pdf_text observed=2026-07-31T01:49:33.464515Z digest=sha256:254a75049c8d648a383ec5cc3abc94003335c45045e6f19efb736453a73cdb42

Observation d7ab535f-426e-4790-9d5e-05af5fffff08 · outbound

This paper cites Karen Liu.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Karen Liu

Reference 43

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source=pdf_text observed=2026-07-31T01:49:33.470213Z digest=sha256:28cfac5495732a0df3a43fc495f8952df69cf4801afbf0ed0bd69646115810ac

Observation b4fe80b9-94e9-4fd6-96cc-4d341ca11621 · outbound

This paper cites DROID: A large-scale in-the-wild robot manipulation dataset.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine DROID: A large-scale in-the-wild robot manipulation dataset

Reference 44

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source=pdf_text observed=2026-07-31T01:49:33.475104Z digest=sha256:c28f9d2f24ea7873f80824ccddab100c862e41a7da1d8d2d9fd3da183fd2a9ca

Observation e25b8824-9f29-44ca-bb54-6bbbba4cd4a7 · outbound

This paper cites Ag- iBot World Colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Ag- iBot World Colosseo: A large-scale manipulation platform for scalable and intelligent embodied systems

Reference 45

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source=pdf_text observed=2026-07-31T01:49:33.479708Z digest=sha256:6824f85b1995ae837fbce26225a5a0033a6e43162cfb6236f649f83fa25ba7a6

Observation 078f67dc-876f-4d3a-88eb-663b15458531 · outbound

This paper cites Yoon, Mouli Sivapurapu, and Jian Zhang.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Yoon, Mouli Sivapurapu, and Jian Zhang

Reference 46

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source=pdf_text observed=2026-07-31T01:49:33.484122Z digest=sha256:d5a023de83ae5c04e83465e0bc9c26c45f32dcc1b108a05328daa4778cbfdd9d

Observation 91cf7270-3b31-4c95-a1da-1e00f9e9a827 · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 47

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source=pdf_text observed=2026-07-31T01:49:33.489223Z digest=sha256:eec704e86fed978219d0de77719977d9ba96e8dc7423c145fc25a7cc962e5edb

Observation 6ee8ce83-5aa1-4b22-bad4-d7b2b4e63e09 · outbound

This paper cites EgoScale: scaling dexterous manipulation with diverse egocentric human data.arXiv 2602.16710, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoScale: scaling dexterous manipulation with diverse egocentric human data.arXiv 2602.16710, 2026

Reference 48

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source=pdf_text observed=2026-07-31T01:49:33.495306Z digest=sha256:0aedb8575d0c2aab27e45f4a61309e9e2a6b6724475ffa1cd7513e103e443ca3

Observation 907212ac-8d34-48b0-be1c-0398f2b8cb86 · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 49

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source=pdf_text observed=2026-07-31T01:49:33.502158Z digest=sha256:afdb5f4577866458046243616a9b009b2a8b10c82361be7b3ad7fb3557618f24

Observation de1e7279-003c-49c0-8144-c38b3bbe2dcd · outbound

This paper cites Keypoint Transformer: solving joint identification in challenging hands and object interactions for accurate 3D pose estimation.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Keypoint Transformer: solving joint identification in challenging hands and object interactions for accurate 3D pose estimation

Reference 50

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no resolver link, observed 2026-07-31T01:49:33.508181Z

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source=pdf_text observed=2026-07-31T01:49:33.508181Z digest=sha256:932aea69af4ea901a5845f9d213613205ee5dcaeaeea57aa06431beaf1d1dea7

Observation 7948da73-d4fb-4c5a-9fa5-16c8101ae456 · outbound

This paper cites Reconstructing hands in 3D with transformers.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Reconstructing hands in 3D with transformers

Reference 51

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source=pdf_text observed=2026-07-31T01:49:33.513411Z digest=sha256:eb63ec4ab97865f9625bc65e23a6c6c0cc3e4afd88b16aa044e889eb1f8bf5a9

Observation 72d52cb0-1c38-4d5e-8df2-e5b24960c56a · outbound

This paper cites HaWoR: world- space hand motion reconstruction from egocentric videos.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HaWoR: world- space hand motion reconstruction from egocentric videos

Reference 52

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source=pdf_text observed=2026-07-31T01:49:33.520894Z digest=sha256:828486016570db4f5050c5d4e957605f5f93fcce30a71cfd3983cc44a20551e9

Observation 381d2c28-e742-4371-8ea5-1089a0bbfb45 · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 53

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source=pdf_text observed=2026-07-31T01:49:33.526070Z digest=sha256:539309922e53c1d4b94833dc12e135896658b98be02b60e3eedfcd910542a282

Observation 2058e363-ce13-46eb-817b-0ee3e5f5293d · outbound

This paper cites HORT: monoc- ular hand-held objects reconstruction with transformers.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HORT: monoc- ular hand-held objects reconstruction with transformers

Reference 54

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source=pdf_text observed=2026-07-31T01:49:33.531197Z digest=sha256:ab7c2babc67d9fab75513299d9bd25ec826e1aa07f38763730a593ca1b71d626

Observation c03731f8-f940-49e6-93f8-72755d060f26 · outbound

This paper cites PhySIC: physically plausible 3D human-scene interaction and contact from a single image.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine PhySIC: physically plausible 3D human-scene interaction and contact from a single image

Reference 55

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no resolver link, observed 2026-07-31T01:49:33.537907Z

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source=pdf_text observed=2026-07-31T01:49:33.537907Z digest=sha256:3c96058645dbe9d8dddc5c0037f7366c8a666e61f1e02fbbbc5769c59e9d981f

Observation 26bc1c29-aea4-4686-8583-c5ab3534f2c9 · outbound

This paper cites Reconstructing 4D Spatial Intelligence: A Survey.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Reconstructing 4D Spatial Intelligence: A Survey

Reference 56

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source=pdf_text observed=2026-07-31T01:49:33.542976Z digest=sha256:83070e85af86dd163dc772a53fd96525bccf75163291b8e9a64107d7ad823232

Observation ca8a5b71-5aae-49d5-a482-5c5095eeb751 · outbound

This paper cites Humanoid policy∼human policy.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Humanoid policy∼human policy

Reference 57

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source=pdf_text observed=2026-07-31T01:49:33.548573Z digest=sha256:17f918d443f56b58ed00c338eb7aa96305c883a329ea549af1f9d3c5c012940f

Observation d2c5429e-68d0-4a75-bc3b-e37ce3d18048 · outbound

This paper cites ActionNet: A dataset for dexterous bimanual manipulation.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine ActionNet: A dataset for dexterous bimanual manipulation

Reference 58

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no resolver link, observed 2026-07-31T01:49:33.553644Z

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source=pdf_text observed=2026-07-31T01:49:33.553644Z digest=sha256:9be9b24caea07a4559cd720f63c4204b670fcb32fd90691de7f4913ce61b0cec

Observation 1ad21c7e-6d40-40d4-8ed0-74c908d56289 · outbound

This paper cites DexMV: imitation learning for dexterous manipulation from human videos.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine DexMV: imitation learning for dexterous manipulation from human videos

Reference 59

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no resolver link, observed 2026-07-31T01:49:33.558970Z

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source=pdf_text observed=2026-07-31T01:49:33.558970Z digest=sha256:5293f13abb30ce3d59ace75578b58dde7a579f4666df7d94534b12a87e5ade50

Observation 10a331be-d20b-4790-a1f5-8aea38f9abcf · outbound

This paper cites EgoMimic: scaling imitation learning via egocentric video.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoMimic: scaling imitation learning via egocentric video

Reference 60

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source=pdf_text observed=2026-07-31T01:49:33.562978Z digest=sha256:173cbdc46df4d4b84519043b2cc6d6da6d65ca97d0dc4efdf093febec5967c35

Observation bb931513-c6cc-4f0e-ae07-654ff3d5a61a · outbound

This paper cites Zhu, Simar Kareer, Judy Hoffman, and Danfei Xu.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Zhu, Simar Kareer, Judy Hoffman, and Danfei Xu

Reference 61

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source=pdf_text observed=2026-07-31T01:49:33.567548Z digest=sha256:5be1ac2daa490d45ca5776b3cb5c10d3eb248c7a00346b0b7401abadcb7d42b0

Observation 7344728b-cab4-42ec-b536-45d5f37ab4bf · outbound

This paper cites UniVLA: learning to act anywhere with task-centric latent actions.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine UniVLA: learning to act anywhere with task-centric latent actions

Reference 62

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source=pdf_text observed=2026-07-31T01:49:33.572368Z digest=sha256:7f8720bbe164fe2665cfbf2792c049c606891a3bb3b4722b4be6fd154f8192fd

Observation 55f7fa6a-5026-44ff-91f8-658229e4e1f8 · outbound

This paper cites In-N-On: scaling egocentric manipulation with in-the-wild and on-task data.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine In-N-On: scaling egocentric manipulation with in-the-wild and on-task data

Reference 63

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source=pdf_text observed=2026-07-31T01:49:33.576550Z digest=sha256:140bf94f698be344a52fc636456de72315d0d175d6c53cf7b4a6a6732435fedc

Observation aef0d97f-c38f-48b6-bdf2-8694bb9ab4f3 · outbound

This paper cites Emergence of human to robot transfer in vision-language-action models.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Emergence of human to robot transfer in vision-language-action models

Reference 64

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source=pdf_text observed=2026-07-31T01:49:33.580737Z digest=sha256:7a0d1bfb28a434eedc2b9c4826126fed40031310f2e4ce23405475468cb322b0

Observation baadfa0d-c638-4797-ae2c-22702018ab32 · outbound

This paper cites Do as I can, not as I say: Grounding language in robotic affordances.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Do as I can, not as I say: Grounding language in robotic affordances

Reference 65

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.585080Z digest=sha256:a2528955646c631536f6adc07b672ad1da1a42ffd805ed81642786f0a279208e

Observation e45aef62-7e08-4fc0-baca-c9848400b58c · outbound

This paper cites Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, and Danny Driess.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Ren, Haohuan Wang, Jiaming Tang, Kyle Stachowicz, Karan Dhabalia, Michael Equi, Quan Vuong, Jost Tobias Springenberg, Sergey Levine, Chelsea Finn, and Danny Driess

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source=pdf_text observed=2026-07-31T01:49:33.589150Z digest=sha256:cc6d04e9d741d14f31bf61d6d19408ad319aedeae7fb1d08dfbf4bdc02c9c296

Observation 31e76b44-df1c-4ddd-a31e-646b23af793c · outbound

This paper cites Bridg- ing semantic and kinematic conditions with diffusion-based discrete motion tokenizer.arXiv 2603.19227, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Bridg- ing semantic and kinematic conditions with diffusion-based discrete motion tokenizer.arXiv 2603.19227, 2026

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source=pdf_text observed=2026-07-31T01:49:33.593590Z digest=sha256:c0d23d5e2d5be9cf7bf6d4b76a3c97cdecb1128a2df4b8d18cf7cf6ef65009ab

Observation a05249ac-6504-4221-80ce-3ea334ea2d50 · outbound

This paper cites InfiniteDance: scalable 3D dance generation towards in-the-wild general- ization.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine InfiniteDance: scalable 3D dance generation towards in-the-wild general- ization

Reference 68

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source=pdf_text observed=2026-07-31T01:49:33.598276Z digest=sha256:2ab5c7e87754b1e87fc78f6e2c923f983d88eaf84db882cebe117eb8125fa849

Observation 2bc78c39-09f2-47a6-95e6-b014b20a8fe4 · outbound

This paper cites Wong, and Ziwei Liu.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Wong, and Ziwei Liu

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.602481Z digest=sha256:b499ac6877674f58a3d5ea93ba02017e0f591fce0eccf29de66fa3d8c89872a5

Observation 05196461-b8a9-4595-b22a-25eae6ff368c · outbound

This paper cites Zhao, and Chelsea Finn.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Zhao, and Chelsea Finn

Reference 70

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.606663Z digest=sha256:8d389f90b481a838ca3440280a7e9832e75031c0c991bf378789e65cf1fad83d

Observation 7d87f670-df8d-4937-bd5a-f90f9b9bf964 · outbound

This paper cites RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Reference 71

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source=pdf_text observed=2026-07-31T01:49:33.610748Z digest=sha256:0dbd6d6ceb1e0ae4eeb826d66d08abd07745a073af169345ba6db55224e0e04d

Observation ac7aa2b5-c17e-4125-82d7-e9af7cb40ecc · outbound

This paper cites RoboMIND 2.0: A mul- timodal, bimanual mobile manipulation dataset for generalizable embodied intelligence.arXiv 2512.24653, 2025.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine RoboMIND 2.0: A mul- timodal, bimanual mobile manipulation dataset for generalizable embodied intelligence.arXiv 2512.24653, 2025

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.615373Z digest=sha256:5556d02adab852e51b61c6eac9c5e0e7a6dcbdd9259a5fa185943a4d2d4ea03b

Observation 506b3bb5-f08c-4283-a4f7-4c785df757af · outbound

This paper cites HSImul3R: physics-in-the-loop reconstruction of simulation-ready human-scene interactions.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HSImul3R: physics-in-the-loop reconstruction of simulation-ready human-scene interactions

Reference 73

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source=pdf_text observed=2026-07-31T01:49:33.619780Z digest=sha256:af6a8c0a4c56bad28fe4578967d1a4fa5ad72603d842dff7a46b1a083ac038b6

Observation dbffe096-77f5-46fe-9b14-bdb8f9d6fe4a · outbound

This paper cites WholeBodyVLA: towards unified latent VLA for whole-body loco-manipulation control.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine WholeBodyVLA: towards unified latent VLA for whole-body loco-manipulation control

Reference 74

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source=pdf_text observed=2026-07-31T01:49:33.623917Z digest=sha256:5abe81b2b1a6357439815492d9f56573f133a868191a7cb6ff8c25f1b7961827

Observation 0f05b87d-447c-473f-a658-ef6b2c56078d · outbound

This paper cites DynamicVLA: A vision-language-action model for dynamic object manipulation.arXiv 2601.22153, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine DynamicVLA: A vision-language-action model for dynamic object manipulation.arXiv 2601.22153, 2026

Reference 75

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source=pdf_text observed=2026-07-31T01:49:33.628087Z digest=sha256:911079b1cb7d6d7b34e7e7c0025a93d140610eaeb5d3c4a35a999d7e284c8851

Observation de3da0d9-0d2b-4ad7-8b96-052e1385b777 · outbound

This paper cites Zhu, Pranav Kuppili, Ryan Punamiya, Patcharapong Aphiwetsa, Dhruv Patel, Simar Kareer, Sehoon Ha, and Danfei Xu.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Zhu, Pranav Kuppili, Ryan Punamiya, Patcharapong Aphiwetsa, Dhruv Patel, Simar Kareer, Sehoon Ha, and Danfei Xu

Reference 76

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source=pdf_text observed=2026-07-31T01:49:33.632234Z digest=sha256:ecc01652fd91062945b3177e853e863aabbd1ee1e2b65681f3320dc6f820fc41

Observation 098e978a-b484-4bfa-9068-e7799bf439cb · outbound

This paper cites HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations

Reference 77

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source=pdf_text observed=2026-07-31T01:49:33.636616Z digest=sha256:38c7054b57e06cc41c7ed3a2b947b53f32328c765ebc13e3baa687a78fa4ab4f

Observation c05aa0c1-b920-45f3-91bf-1106176c3a71 · outbound

This paper cites 2D Gaussian splat- ting for geometrically accurate radiance fields.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine 2D Gaussian splat- ting for geometrically accurate radiance fields

Reference 78

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source=pdf_text observed=2026-07-31T01:49:33.641081Z digest=sha256:4a1d0911d1c9d52d51723b127435e4ea0f653199ec184d1baae28b57345e9333

Observation c4265e02-f2a4-4937-9869-2c94134c39f0 · outbound

This paper cites Garrido-Jurado, R.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Garrido-Jurado, R

Reference 79

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source=pdf_text observed=2026-07-31T01:49:33.645087Z digest=sha256:aa204820e11baa45d779eda7810f63b8449c60e5cbdb2c1db344e96af7d96dff

Observation f26501c1-91c6-4774-a8d7-c9f350728fc9 · outbound

This paper cites Tsai and Reimar Lenz.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Tsai and Reimar Lenz

Reference 80

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no resolver link, observed 2026-07-31T01:49:33.649175Z

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source=pdf_text observed=2026-07-31T01:49:33.649175Z digest=sha256:19820b0826ddb72c897fde02371d6fe67b3188111cd009618f962a0c31de1fac

Observation 059f86ed-1811-4929-af42-735690259e59 · outbound

This paper cites McLauchlan, Richard I.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine McLauchlan, Richard I

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.653805Z digest=sha256:28c2708ded83483413b384d4fc18001a2b8766a4c52b2f59fac806f4bd557991

Observation ea16dab9-b8c7-47a7-b2c1-7af582bea67a · outbound

This paper cites Unified temporal and spatial calibration for multi-sensor systems.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unified temporal and spatial calibration for multi-sensor systems

Reference 82

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source=pdf_text observed=2026-07-31T01:49:33.658514Z digest=sha256:559987fff3db4b08cb5682579c90e1456ddf6c1df896886f0d6c97c65ae21c3b

Observation 87a6126a-3073-40fe-bb87-59ba8d827ddf · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 83

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source=pdf_text observed=2026-07-31T01:49:33.664135Z digest=sha256:5ae3a51e9141101a58f008845da18915377f7859f2bba00041fdec7d91e0e30f

Observation a6354c57-ff73-4209-a39e-e0474b8f9571 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Gemini: A Family of Highly Capable Multimodal Models

Reference 84

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no resolver link, observed 2026-07-31T01:49:33.668980Z

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source=pdf_text observed=2026-07-31T01:49:33.668980Z digest=sha256:8aa521cd0d08ffc20e24af70a31fa5409c342fe5c1af1153bcb7bb417fb403a6

Observation 1269845e-a3e5-4748-9330-8ea994a76a03 · outbound

This paper cites Twigg, Chengde Wan, James Hays, and Charles C.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Twigg, Chengde Wan, James Hays, and Charles C

Reference 85

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no resolver link, observed 2026-07-31T01:49:33.674089Z

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source=pdf_text observed=2026-07-31T01:49:33.674089Z digest=sha256:8cafd1d05ee1ebbfb9a4e01d2f8a5301f489792b9dcda3ab0b2162422454d9e7

Observation 6b03ae93-3d6c-4d3e-a791-3c62da11032c · outbound

This paper cites EgoTactile: learning grasp pressure for everyday objects from egocentric video.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine EgoTactile: learning grasp pressure for everyday objects from egocentric video

Reference 86

Resolution
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no resolver link, observed 2026-07-31T01:49:33.678504Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.678504Z digest=sha256:87db83692ee63aaca8d282f5728e33db67a4aafb2c1258b4afa28abe65b9ac14

Observation 20542fd3-7290-4b85-a15f-986e407cb4f6 · outbound

This paper cites TouchAnything: A Dataset and Framework for Bimanual Tactile Estimation from Egocentric Video.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine TouchAnything: A Dataset and Framework for Bimanual Tactile Estimation from Egocentric Video

Reference 87

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no resolver link, observed 2026-07-31T01:49:33.683482Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.683482Z digest=sha256:89e150a081e9a6f38d65afee97dfc0602d2237fdcde6a5fdda7cd4577fe6dff9

Observation 65301d98-e45f-43ea-9b9a-cba18b009edb · outbound

This paper cites FoundationPose: unified 6D pose esti- mation and tracking of novel objects.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine FoundationPose: unified 6D pose esti- mation and tracking of novel objects

Reference 88

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no resolver link, observed 2026-07-31T01:49:33.688563Z

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source=pdf_text observed=2026-07-31T01:49:33.688563Z digest=sha256:13862fb400f4f25ff604477a8e6290f13f07144e5069930027b1bb527700353e

Observation 48814e22-e050-460c-b6f0-0d819730b5d0 · outbound

This paper cites Multi-HMR: multi-person whole-body human mesh recovery in a single shot.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Multi-HMR: multi-person whole-body human mesh recovery in a single shot

Reference 89

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no resolver link, observed 2026-07-31T01:49:33.693131Z

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source=pdf_text observed=2026-07-31T01:49:33.693131Z digest=sha256:65732892cc92845b39483e8904c06e75863ec03ab89c73b2c647682eb58bc1b9

Observation b2326c39-4066-490a-b1f4-0ffc2db3468d · outbound

This paper cites Multi-HMR 2: multi- person camera-centric human detection, mesh recovery and tracking.arXiv 2606.14841, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Multi-HMR 2: multi- person camera-centric human detection, mesh recovery and tracking.arXiv 2606.14841, 2026

Reference 90

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no resolver link, observed 2026-07-31T01:49:33.698493Z

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source=pdf_text observed=2026-07-31T01:49:33.698493Z digest=sha256:7a02d4d094627b1a38e21ca2d46c81218b4da1e5684bbac1861561555db0e2eb

Observation 1740a47b-369b-4bad-b3ad-5013eb4e45c7 · outbound

This paper cites SAM 3D Body: robust full-body human mesh recovery.arXiv 2602.15989, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine SAM 3D Body: robust full-body human mesh recovery.arXiv 2602.15989, 2026

Reference 91

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no resolver link, observed 2026-07-31T01:49:33.703204Z

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source=pdf_text observed=2026-07-31T01:49:33.703204Z digest=sha256:8ddb3981fc7b73e951d186d79bbd5027968b666887c32181a75986a9461765e7

Observation afd7705f-bea1-4a1d-8159-6fd9cffbdb00 · outbound

This paper cites PyMAF-X: towards well-aligned full-body model regression from monocular images.IEEE TPAMI, 45(10):12287–12303, 2023.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine PyMAF-X: towards well-aligned full-body model regression from monocular images.IEEE TPAMI, 45(10):12287–12303, 2023

Reference 92

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source=pdf_text observed=2026-07-31T01:49:33.707502Z digest=sha256:a97cfbd18214490404d67b3a8f60f86b7f15f5cf81df15061e44f16239b80dc1

Observation de1ae61f-1ce6-47ea-bb3d-9d494ffb4f1a · outbound

This paper cites Huang, Otmar Hilliges, and Michael J.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Huang, Otmar Hilliges, and Michael J

Reference 93

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no resolver link, observed 2026-07-31T01:49:33.711684Z

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source=pdf_text observed=2026-07-31T01:49:33.711684Z digest=sha256:4d62e3c42f8bcc243a6e230672b88ca8317e0944298160a63d192c904311e8ba

Observation 4e4b7012-17a0-45a2-b79c-1694aad99d93 · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 94

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no resolver link, observed 2026-07-31T01:49:33.716351Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.716351Z digest=sha256:8a4f58d8996928c4b64951de59100fb59c528e6a3cc0ca731d720b38b8256997

Observation 87ff7073-5cb4-4d1d-a0a2-cd0bf75198ac · outbound

This paper cites One-stage 3D whole-body mesh recovery with component aware transformer.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine One-stage 3D whole-body mesh recovery with component aware transformer

Reference 95

Resolution
unresolved
no resolver link, observed 2026-07-31T01:49:33.721098Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.721098Z digest=sha256:55fccbf83bcb5bbe8d88e7789165cc8f9d7c619ea99eb5dcce203696cea1cbdc

Observation a7a14fcc-9d8e-4467-ac00-faafa548d4e1 · outbound

This paper cites SMPLer-X: scaling up expressive human pose and shape estimation.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine SMPLer-X: scaling up expressive human pose and shape estimation

Reference 96

Resolution
unresolved
no resolver link, observed 2026-07-31T01:49:33.725491Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T01:49:33.725491Z digest=sha256:c5a264ad60ff6a208089e56a1962637431f152700ef70126e7998e24632f6974

Observation ebe576ef-7c7e-4115-acc3-5d37cbeb04be · outbound

This paper cites SMPLest-X: ultimate scaling for expressive human pose and shape estimation.IEEE TPAMI, 48(2):1778–1794, 2026.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine SMPLest-X: ultimate scaling for expressive human pose and shape estimation.IEEE TPAMI, 48(2):1778–1794, 2026

Reference 97

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no resolver link, observed 2026-07-31T01:49:33.730304Z

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source=pdf_text observed=2026-07-31T01:49:33.730304Z digest=sha256:f3b2889822eb4ac13435125beedef3a8a31b0f891a0f3b8bed5f21f77b834cc4

Observation 6e748352-edfe-4a9d-b9b2-414a4ddd9eff · outbound

This paper cites Humans in 4D: Reconstructing and tracking humans with transformers.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Humans in 4D: Reconstructing and tracking humans with transformers

Reference 98

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no resolver link, observed 2026-07-31T01:49:33.735394Z

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source=pdf_text observed=2026-07-31T01:49:33.735394Z digest=sha256:a8df8ca9e3d488f3a1b79b94f6c27ad1aab8325f199cc2e604b11e4f7d9d7b87

Observation 8eb62dbb-16ef-47b1-9c8d-565eb5ebab51 · outbound

This paper cites World-grounded human motion recovery via gravity-view coordinates.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine World-grounded human motion recovery via gravity-view coordinates

Reference 99

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no resolver link, observed 2026-07-31T01:49:33.741123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:49:33.741123Z digest=sha256:8db8bbb32be35a449d267a69c7f04a2eab1d88eb83c6ddf0d26515c2328183be

Observation 2d80015e-31cf-4f1c-9dfa-88f2d7127660 · outbound

This paper cites an unresolved cited work.

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine Unresolved cited work

Reference 100

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no resolver link, observed 2026-07-31T01:49:33.745804Z

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source=pdf_text observed=2026-07-31T01:49:33.745804Z digest=sha256:405d9c733aa58a39c9f58bc29c90a4eec38d488685020079690e82e531332428

Pith citing papers

No inbound Pith citation observations are available.