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Paper Citation Record · LEDGER

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.08857.

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

pith.paper-citation-record.v1
2607.08857 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:28:10.101325Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation caca4b6d-fdb7-474d-bdf2-dfc359f17ff9 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:13934549d8e2cfc31b93fbe812d6bfbe316b15d20c1087dbfd32adee093b14b2

Observation 294ea4b6-96cf-4959-bd0c-38cded95c8b6 · outbound

This paper cites Balasubramanian, A.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Balasubramanian, A

Reference 2

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:95a019c3aeeb53663cad71ec5fa421179548c0285c6641a09e9d75fca5f14d25

Observation c845bafa-e4cd-4f81-a53d-4fd6fe489674 · outbound

This paper cites Brohan et al.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Brohan et al

Reference 3

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:9d0baa133a52e906d090a42a849533daf222509b83d358a7ea701ad69bc99b18

Observation aa80efaa-086f-457a-a1f8-bf541dd187ab · outbound

This paper cites Damen et al.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Damen et al

Reference 4

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:0e5e13918b086a0f5cd799190394e17b00a04c2c7ebcd713d93d57dfc8767d5a

Observation cc3f82ea-b8da-48cc-a046-7d4c051513b8 · outbound

This paper cites Driess et al.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Driess et al

Reference 5

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:c44972cf5f01ccbe706bae95b49f5f8aec9303b7c8e8997f464d96f9b7f1deb9

Observation 9ecfd9cd-04c0-468e-aa38-3bc2d7dff4dc · outbound

This paper cites Hoque, P.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Hoque, P

Reference 6

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:8b0f8045ec5240e41a07b3069d215bf566fc788a6cf0c78bff156f6de8e7940d

Observation 00e8bfa3-7141-4ead-9fe6-39b7751ecfad · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 7

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:20c5da43a401007e4eb6964fe0e3bf05d50574f18bf634a00d3118808f10cd99

Observation ef8532d2-722e-40c9-ae28-f99531b82463 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 8

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:fff28fb71dede18b71d09e537054a42911950c881ec7c015aad1737c2d0d6036

Observation a7a5a482-11fa-4570-8e40-8be14b69efd2 · outbound

This paper cites Lepert, J.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Lepert, J

Reference 9

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:67a85cc9f29eac6f9eb8f05c4a0d5c79f20957de43c04b0ea0b57267ba289193

Observation 9eb618eb-1bc7-40cd-93f6-8ec95d80668b · outbound

This paper cites Li, C.-Z.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Li, C.-Z

Reference 10

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:ce7a6223cb6e95dec2c1d7c755f71dc852c138f07bdad4fd058741be9a114edd

Observation 7f584892-e9a6-4ada-ba96-5c55b2067267 · outbound

This paper cites Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Bridging the Embodiment Gap: Disentangled Cross-Embodiment Video Editing

Reference 11

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:2d11528e7d30fa5db3489b8f9fd94d0ab802329dcd63354caa6231ac38478fbe

Observation d0d6288d-002c-4cf1-b18b-b44aa0bd3395 · outbound

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

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations

Reference 12

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:a1c84f45e16a2d089fa9c3ff7f23a8e89d4c4a9d52298b8092b68e2dfbd2ec25

Observation 8c97ee51-e09c-4495-b736-bbe76c24e1f5 · outbound

This paper cites Milgram and F.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Milgram and F

Reference 13

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:7a393143b170eb255f27e3e3286e6c8ec1531b1b4a7c63dc358258a9e68d9d7a

Observation 0d944f99-72a4-4a73-a777-77ca8f1605e8 · outbound

This paper cites an unresolved cited work.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Unresolved cited work

Reference 14

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:bf0ceaec733c1f0d68ebd0f6c001082d23e617a2b3a78251486c5336ea0e43bf

Observation 04070f7f-31c8-4951-a08e-50a3e1301236 · outbound

This paper cites ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition

Reference 15

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:98b34f6b08c7dfeaf5177d8250f51e636f7966eab347ed1e7eaec2049a1f90ae

Observation 493479e1-2f3b-4cab-a5f0-011fc89e274d · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 16

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:6b86fc6ed55ce068fb8968691ec6350d8b1c3f0da12479957a15b74472c71dff

Observation f57cd92d-28a3-45e6-99e0-4187a4029f4b · outbound

This paper cites Do as I Do: Dexterous Manipulation Data from Everyday Human Videos.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Do as I Do: Dexterous Manipulation Data from Everyday Human Videos

Reference 17

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:2b37ebfa1a38386c61ec9aedb02f69d47cc10472316f96e513f4ab2afd3a86a8

Observation fcf8a8a7-6530-4170-a75e-f3583d9671ae · outbound

This paper cites Pavlakos, D.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Pavlakos, D

Reference 18

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:dd675a89994670180e4a8df29e756f2738798a10485b2898802e6d3c26c02768

Observation 4a747f45-175c-4278-9a53-ffb23f9c08e8 · outbound

This paper cites an unresolved cited work.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Unresolved cited work

Reference 19

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Observation 8765f132-da3c-4e07-8c64-5b67b887f489 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning SAM 2: Segment Anything in Images and Videos

Reference 20

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:e944e9728fe5bd3369b6f91e2517f73b6e0a2b8b088dafb26ecaea59d0f5817e

Observation 0dba31a9-e34c-4e9c-9d08-204cf4296ce7 · outbound

This paper cites Todorov, T.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Todorov, T

Reference 21

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:3b9e5fb8d480be090e54a7e6303bb74611c2e6da6b40afa222c2b5bbf4560c03

Observation f1e7db8d-9647-40ad-ab2e-44ac972a80ae · outbound

This paper cites an unresolved cited work.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:2ea1827767bfb61827bd11f6f4c4265ca396e4c11c708aed790a87b18856bd08

Observation 03d8e224-f0d7-4545-ba45-66109aef3b19 · outbound

This paper cites World Action Models: The Next Frontier in Embodied AI.

AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning World Action Models: The Next Frontier in Embodied AI

Reference 23

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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:baea652c4f6a20bd7cd022739dad4c10968249a80266a6afff89d9ec3d1a33de

Pith citing papers

No inbound Pith citation observations are available.