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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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

No source-named external measurement is stored.

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=sha256:33a46584286b7e7901cd1beeee1ad6a37dfc6cef2717b399b7176296e0ced10a

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:aa2563880b0bbd06bb928f7a2c5e673cc2d3e39a7527d4c96e3ad059afee3106

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:e5966670748d05f67538fcb5418a7f731b1819691f8c4c7d1aea179b2a5c381a

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=sha256:67073bb1b952472910698bbc27a90678f7a773603281c63909844d017eab87b6

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=sha256:3ba635a3b9c1a345d1b5952e7a0d873e78dbb62379dff69149e5da258c5dc886

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=sha256:89e798ab33b7bf8915e6aabcdc6fabe8e1af0478c5f7ce655338b45f84c1d450

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=sha256:6917341329b349dab5c7e6924f18caa97c1e225592fff1735c549a6390377a70

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=sha256:2bcc7e937e832f1c2d6436ee54dc09ac88d70e6a73ee9525580ece6008e99fc5

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=sha256:85eb5c8c2c8c257140e303caf2c3bc5c09c6f28012d35c713cd3d4f854658b91

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:dd66bae177c0a3f076f6cb66f3cbfade153ea3e2c045b46d69ed287a597a0fdd

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:caf7dee59225fdc459974a0c3aad093be1d275676a435dbcc11a437e3bc1708a

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:ae469714626c75c9a8cd6e8e306792fcac6cdf09dfe95fada36b76da0127e792

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=sha256:18df907f62d1d4ce8f6773e57680c58d5324a3955ea6a194206b094a9bd0f83b

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=sha256:000c0f24860a9ff6940be2702d6c9b00f3b7306955f5e21aa9c64aea6e80236c

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=sha256:45081c5c39f4816f2dc60e520a4ae55296f4dff9441fde18cede2c16407ca08c

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:d1242440f646622199ab1448eb639d2a6e36206f6aa05441406c905d42051329

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=sha256:916540d644ed4e92b409b0bc28c423a98c890832119570de5bd7a2a63bb06c29

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=sha256:4f547f639ce79c56473367d994cd206c18254c7f6f7e530709c7283a901fc57e

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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source=pdf_text observed=2026-07-14T15:28:10.101325Z digest=sha256:b7f0b8e87495839919a0f82d765774cef372bce335f10c85a95dca6300d24d88

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:c8058cd1d28aa7804f0a832c7ef0d5b0d8edeff05a83d7309251c3a1b285f40e

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=sha256:6f6444c99688c672e5cd73a280036b9aab94b1c828fa40162f2cfceee6cdb58b

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=sha256:5104742f0ee28a6dd24f85b8317c37c5d4702f48d18dbc79ddc50ca12c9c568f

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=sha256:8db7b46edc349bbc5a35d07ec8f436a588c6826c3282414c8c76934182857cbd

Pith citing papers

No inbound Pith citation observations are available.