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Paper Citation Record · LEDGER

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.24538.

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

pith.paper-citation-record.v1
2607.24538 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:14:52.640686Z

measured 34 of 34 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.

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measured 0 of 1 external citation measurements

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Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation aacac217-0312-4f8e-bf01-0f58e0df3a1e · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeRF: Representing scenes as neural radiance fields for view synthesis

Reference 1

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Observation f62065e1-b734-4875-8b91-14a049ddb0ac · outbound

This paper cites NeRFs in robotics: A survey,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeRFs in robotics: A survey,

Reference 2

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Observation 4785ef43-98c0-4089-a3f2-40051a139914 · outbound

This paper cites Neural fields meet explicit geometric repre- sentations for inverse rendering of urban scenes.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Neural fields meet explicit geometric repre- sentations for inverse rendering of urban scenes

Reference 3

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Observation cef85719-4ee3-4412-a4af-eb259bb9692c · outbound

This paper cites Silvr: Scalable lidar-visual reconstruction with neural radiance fields for robotic inspection,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Silvr: Scalable lidar-visual reconstruction with neural radiance fields for robotic inspection,

Reference 4

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source=pdf_text observed=2026-07-31T12:14:52.575668Z digest=sha256:003e85040bcd2715dd64971206f93abcfb3cbf687bdb692b03e8482355f459b9

Observation a48ee38c-58ac-4e9b-848e-706bdc046854 · outbound

This paper cites NeRF2Real: Sim2real transfer of vision- guided bipedal motion skills using neural radiance fields.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeRF2Real: Sim2real transfer of vision- guided bipedal motion skills using neural radiance fields

Reference 5

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Observation f66589f6-b8cf-41a1-b117-cde185dad2fb · outbound

This paper cites Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Implicit grasp diffusion: Bridging the gap between dense prediction and sampling-based grasping,

Reference 6

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Observation 7f407a97-a0d6-4c87-a174-d47cff10d53e · outbound

This paper cites Language embedded radiance fields for zero-shot task-oriented grasping,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Language embedded radiance fields for zero-shot task-oriented grasping,

Reference 7

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Observation 52e2b509-f5c7-4f82-964e-a20a4682fa51 · outbound

This paper cites OpenNeRF: Open set 3D neural scene segmentation with pixel-wise features and rendered novel views.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation OpenNeRF: Open set 3D neural scene segmentation with pixel-wise features and rendered novel views

Reference 8

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Observation 0c845ca6-bf67-4d4a-8c07-8d0eec6657a2 · outbound

This paper cites CLA-NeRF: Category-level articulated neural radiance field.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation CLA-NeRF: Category-level articulated neural radiance field

Reference 9

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Observation a0dd7fb7-ef5a-4b8e-b212-3cce0d28d17f · outbound

This paper cites Dex-NeRF: Using a neural radiance field to grasp transparent objects.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Dex-NeRF: Using a neural radiance field to grasp transparent objects

Reference 10

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Observation 8e9cbc3a-2a9e-4d6b-95c2-81021a958eb5 · outbound

This paper cites NeRF is a valuable assistant for 3D gaussian splatting,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeRF is a valuable assistant for 3D gaussian splatting,

Reference 11

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Observation d0b0e626-4654-410e-b166-456b1b3c7048 · outbound

This paper cites Radiance fields for robotic teleoperation,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Radiance fields for robotic teleoperation,

Reference 12

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Observation 7947af70-02e9-48b2-8548-64b85f7f6620 · outbound

This paper cites Occlusion-free scene recovery via neural radiance fields.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Occlusion-free scene recovery via neural radiance fields

Reference 13

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Observation fcf7c8bc-db28-468f-ad66-96e020cc9f22 · outbound

This paper cites LERF: Language embedded radiance fields.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation LERF: Language embedded radiance fields

Reference 14

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Observation c0640511-f1b8-4632-a519-29853ccae6d2 · outbound

This paper cites Distilled feature fields enable few-shot language-guided manipulation,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Distilled feature fields enable few-shot language-guided manipulation,

Reference 15

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Observation 870ec5a6-e048-475e-923e-c3014207a9dc · outbound

This paper cites Fast Sparse View Guided NeRF Update for Object Reconfigurations.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Fast Sparse View Guided NeRF Update for Object Reconfigurations

Reference 16

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Observation 1a67ef83-faff-4b7c-8253-883bb7139d7f · outbound

This paper cites Nerfiller: Completing scenes via gener- ative 3d inpainting,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Nerfiller: Completing scenes via gener- ative 3d inpainting,

Reference 17

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Observation a9ca98d7-2fcb-4dae-a8f3-847820c3f3db · outbound

This paper cites ReplaceAnything3D: Text-guided object replacement in 3D scenes with compositional scene representa- tions.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation ReplaceAnything3D: Text-guided object replacement in 3D scenes with compositional scene representa- tions

Reference 18

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Observation 31ad8c66-8f9e-42a6-b234-058ad8e0ea32 · outbound

This paper cites Seal-3D: Interactive pixel-level editing for neural radiance fields,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Seal-3D: Interactive pixel-level editing for neural radiance fields,

Reference 19

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Observation 28981a24-0022-468c-ae74-80bf19b9efc8 · outbound

This paper cites NeuralEditor: Editing neural radiance fields via manipulating point clouds.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeuralEditor: Editing neural radiance fields via manipulating point clouds

Reference 20

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Observation 542e20df-b450-4bef-9c59-2cf032037697 · outbound

This paper cites NeRF-Editing: Geometry editing of neural radiance fields.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation NeRF-Editing: Geometry editing of neural radiance fields

Reference 21

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Observation b6e87981-01c0-4d01-a502-bd1a3a88ea52 · outbound

This paper cites Learning unified decompositional and compositional NeRF for editable novel view synthesis.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Learning unified decompositional and compositional NeRF for editable novel view synthesis

Reference 22

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Observation 2b005472-f124-4395-b5bd-e2bc9957fc88 · outbound

This paper cites Reg-NF: Efficient registration of implicit surfaces within neural fields,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Reg-NF: Efficient registration of implicit surfaces within neural fields,

Reference 23

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Observation c4adc153-3672-4175-ae2a-2ea366524b1e · outbound

This paper cites Removing objects from neural radiance fields,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Removing objects from neural radiance fields,

Reference 24

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Observation 95ca8670-7e58-460a-9b85-a8b1fcecbd44 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation High-resolution image synthesis with latent diffusion models,

Reference 25

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Observation e8f4c889-f818-4551-aeb1-e669c9db140b · outbound

This paper cites Decomposing NeRF for editing via feature field distillation.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Decomposing NeRF for editing via feature field distillation

Reference 26

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Observation 0df75d17-aa59-4c1e-82c9-7e5b6a992b30 · outbound

This paper cites DATENeRF: Depth-aware text-based editing of NeRFs,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation DATENeRF: Depth-aware text-based editing of NeRFs,

Reference 27

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Observation a9e43038-b9ab-45e0-b8ab-abc4d2e7a8f3 · outbound

This paper cites ViCA-NeRF: view-consistency-aware 3D editing of neural radiance fields,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation ViCA-NeRF: view-consistency-aware 3D editing of neural radiance fields,

Reference 28

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source=pdf_text observed=2026-07-31T12:14:52.628049Z digest=sha256:65b19a17f9812173ddd61977e19ed22a8450f598bb2e0e748d4f4e398c6c651b

Observation 6810869e-5858-447b-950b-2f5bf48cc52f · outbound

This paper cites Physically embodied gaussian splatting: A realtime correctable world model for robotics,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Physically embodied gaussian splatting: A realtime correctable world model for robotics,

Reference 29

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Observation ccebbf6d-3164-4740-8cd9-9b39735392da · outbound

This paper cites Splat-mover: Multi-stage, open- vocabulary robotic manipulation via editable gaussian splatting,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Splat-mover: Multi-stage, open- vocabulary robotic manipulation via editable gaussian splatting,

Reference 30

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Observation 91a51ff5-e76f-41bd-9638-72cc0c35b056 · outbound

This paper cites Is there anything left? measuring semantic residuals of objects removed from 3D gaussian splatting,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Is there anything left? measuring semantic residuals of objects removed from 3D gaussian splatting,

Reference 31

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Observation 9328da53-8c81-4a67-ac8f-4c40e55148c5 · outbound

This paper cites AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation AnyGrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 32

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Observation cc950e50-8e04-416c-b55a-075165395bf9 · outbound

This paper cites Benchmarking in manipulation research: Using the Yale-CMU-Berkeley object and model set.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation Benchmarking in manipulation research: Using the Yale-CMU-Berkeley object and model set

Reference 33

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Observation b4138065-98da-4ae3-aa06-27c394d0f48b · outbound

This paper cites LSD-SLAM: Large-scale direct monocular SLAM,.

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation LSD-SLAM: Large-scale direct monocular SLAM,

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.