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Paper Citation Record · LEDGER

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.06827.

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

pith.paper-citation-record.v1
2608.06827 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:13:27.034152Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1c53475-80c0-4453-8734-9ea9b57ec162 · outbound

This paper cites Vid2Sim: Realistic and interactive simulation from video for urban navigation,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Vid2Sim: Realistic and interactive simulation from video for urban navigation,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f701f5c2-2255-49b2-a162-4e9ec2f7537f · outbound

This paper cites GaussGym: An open-source real-to-sim framework for learning locomotion from pixels,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim GaussGym: An open-source real-to-sim framework for learning locomotion from pixels,

Reference 2

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unresolved
no resolver link, observed 2026-08-10T20:13:26.880904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.880904Z digest=sha256:59e63955df065f1da6e594b4f172a65efa6d00177f22edcb9f898d1cad68c3e6

Observation ba7e1cb2-8297-4831-8747-030dd0bcbf00 · outbound

This paper cites RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator

Reference 3

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unresolved
no resolver link, observed 2026-08-10T20:13:26.884276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.884276Z digest=sha256:61950adf415ea071bff945fa5fb8b5cdb3f7bb5571baf7d877366210ff2a41b6

Observation 9c8b99bc-439f-4d87-8ba3-4149662e9290 · outbound

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

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.278398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.888735Z digest=sha256:ac7eda4c84472a575342de9fe46588d9effae75b514ccd0b319f3816fb78f6cc

Observation 425f6450-2fb0-4665-ad6b-58ab9643b48f · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim 3D Gaussian splatting for real-time radiance field rendering,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.267034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.892467Z digest=sha256:8cfca74abf51345d342f904e913df7e57797cfab28201fc94d1b413743bf4d46

Observation 2c77c87d-f348-4f92-9e45-c1f3d23cefa5 · outbound

This paper cites SplatSim: Zero-shot sim2real transfer of RGB manipulation policies using Gaussian splatting,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim SplatSim: Zero-shot sim2real transfer of RGB manipulation policies using Gaussian splatting,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.253490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.896394Z digest=sha256:0224ec88d58185f15a149a77cb96b9ad5c347b244510775f54e0a16216ad3f4b

Observation 389a3263-b3cd-4e47-994a-91eaa98c798b · outbound

This paper cites CamI2V: Camera-Controlled Image-to-Video Diffusion Model.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim CamI2V: Camera-Controlled Image-to-Video Diffusion Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.900270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.900270Z digest=sha256:747f25bbd97a25c151238156838a8df9c7b99ff13c85c8e35f7728f9b78dc0bc

Observation c8ffb75e-e934-4d25-97bc-90697785d423 · outbound

This paper cites CameraCtrl: Enabling camera control for video diffusion models,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim CameraCtrl: Enabling camera control for video diffusion models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.238731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.903912Z digest=sha256:de855d5ce10ba0e34b4448e6a41f46ffc9a87cc63c0efb4444f904d84b55902f

Observation 34487eb5-dad8-42d0-bfa5-1aec0827a573 · outbound

This paper cites MotionCtrl: A unified and flexible motion controller for video generation,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim MotionCtrl: A unified and flexible motion controller for video generation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.175836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.907142Z digest=sha256:e6a6070933c9678285b9f33acac6105ab79156ddbd7228444e4f1e4ff92b508f

Observation c867d647-8744-4006-9e5f-789b35a2824b · outbound

This paper cites ViewCrafter: Taming video diffusion models for high-fidelity novel view synthesis,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim ViewCrafter: Taming video diffusion models for high-fidelity novel view synthesis,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:29.076168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.910866Z digest=sha256:eca2429d8293ab500a3ed53e855de1f632464b0547a04b13f54f3d5b915bf9dd

Observation aea5c084-0370-4d9d-94a2-76683d552f41 · outbound

This paper cites Neural kernel surface reconstruction,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Neural kernel surface reconstruction,

Reference 11

Resolution
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raw_fallback, observed 2026-08-10T20:13:29.045057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.913642Z digest=sha256:88e6ed740ea8f40bf8f896042be16d880ca5d9ad484a3dd6b9cbf34489251ad4

Observation c7c055f6-5f35-4481-9480-0441dfec256f · outbound

This paper cites Reconciling reality through simulation: A real- to-sim-to-real approach for robust manipulation,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Reconciling reality through simulation: A real- to-sim-to-real approach for robust manipulation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.977832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.917066Z digest=sha256:64929d8672122223aba1d0d74408ee3a1ab3a6f569d20b7d0e3efd5b8cd7bedf

Observation d57509e6-8852-4fd7-a3cc-414f33608131 · outbound

This paper cites URDFormer: A pipeline for constructing articulated simulation environments from real-world images,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim URDFormer: A pipeline for constructing articulated simulation environments from real-world images,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.851943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.920179Z digest=sha256:4aee3ce415e047c8d2b6e48668240121db56cccb5c43bc3e683bc3cac88963ed

Observation df221de8-1c7d-474c-b7dd-2ac3989b9490 · outbound

This paper cites Wanderland: Geometrically grounded simulation for open-world embodied AI,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Wanderland: Geometrically grounded simulation for open-world embodied AI,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.924031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.924031Z digest=sha256:bf8c7c6d719e04ec4f02c1f9f43ad17e359486cab33eb3b6ba014daad6a21728

Observation b526b0bd-8369-490d-a5b1-271a6dcb9a4f · outbound

This paper cites RobotArena ∞: Scalable robot benchmarking via real-to-sim translation,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim RobotArena ∞: Scalable robot benchmarking via real-to-sim translation,

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:13:27.262251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.927787Z digest=sha256:c071f66507c56042b4f09bc8823097f58ec8014cc9ae38af98908836045ca95e

Observation f8b70486-6d25-421b-a143-ad1cda7f1310 · outbound

This paper cites Learning interactive real-world sim- ulators,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Learning interactive real-world sim- ulators,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.808084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.930882Z digest=sha256:2ba18904f28d6a3f64783b09ddf494bef57ff5453082ae21866315f87170f505

Observation 22af8650-5c91-4957-8eb2-72cad954ab39 · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.934250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.934250Z digest=sha256:117d9aef34b929d870de692ea6d614077c7105431c144ca4306ecda6fbf71ee4

Observation cdac187b-6c46-4e45-a64c-2afc9a9dee7b · outbound

This paper cites Learning visual parkour from generated images,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Learning visual parkour from generated images,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.796706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.937682Z digest=sha256:8cff4cd9ac66f00955b871057dad5104dabb91ec00d9ba5e4a64b7e4e4054a75

Observation fb5ef109-4522-434a-9ae6-7352f95efb2c · outbound

This paper cites View-invariant policy learning via zero- shot novel view synthesis,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim View-invariant policy learning via zero- shot novel view synthesis,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.786818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.940957Z digest=sha256:71251d72dd94dcfebc95aeeea027f0323a5f8ba2d22937d14793222ed897dac8

Observation 31866283-20eb-4a33-bcc9-ad46c84e7037 · outbound

This paper cites GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.944088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.944088Z digest=sha256:2f39b1bae7f17d8c90fadebf26dd2cebef07b6b61eccf6a0fae9a7b4124da5ed

Observation 65255133-26ad-4464-bad6-ced158cda337 · outbound

This paper cites pixelNeRF: Neural radiance fields from one or few images,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim pixelNeRF: Neural radiance fields from one or few images,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.775950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.948031Z digest=sha256:3ffc85ae09b96f003fdd96669de01c9b15e1eb6fa43e4064d9cb9a184ad79a31

Observation d67b760b-5830-45a7-a9eb-5234a15a7c31 · outbound

This paper cites MVSplat: Efficient 3D Gaussian splatting from sparse multi-view images,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim MVSplat: Efficient 3D Gaussian splatting from sparse multi-view images,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.717599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.950976Z digest=sha256:9854279940a0a7feaa461acc13db39d628d71f8c9d51c12855abaecfdde54fb4

Observation 0f66bada-b03a-42c4-a14a-4ac9c6f9939a · outbound

This paper cites DUSt3R: Geometric 3D vision made easy,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim DUSt3R: Geometric 3D vision made easy,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.514348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.954416Z digest=sha256:d772b00539eee420747b06ad4fd81421cd4729af16c0b81819573b7310f0a9d3

Observation 5d478949-0137-4ae6-9dd1-f784e69895f8 · outbound

This paper cites Grounding image matching in 3D with MASt3R,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Grounding image matching in 3D with MASt3R,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.471220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.957732Z digest=sha256:9eb7655670489e796979d33449c781d17169c215f7388396db949830a51b76c4

Observation c5628eda-fb02-4f91-89df-ac138d2ac11e · outbound

This paper cites 3DFIRES: Few image 3D reconstruction for scenes with hidden surfaces,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim 3DFIRES: Few image 3D reconstruction for scenes with hidden surfaces,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.460825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.961934Z digest=sha256:b4c5f28aa525df84a44b69960129844bcb518ce02c1e98113744642f8b951f4d

Observation 5e3b23ba-7b5b-4692-9eb6-e0de5e895cb1 · outbound

This paper cites WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:26.964912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:26.964912Z digest=sha256:d2d953b3d1eb8cde8fa4c3aa09a69b900ca6db1cdb522a0227cde165bc168e6a

Observation f55b3f1c-787d-419f-8460-4181f8e3f143 · outbound

This paper cites SAM 3D: 3Dfy anything in images,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim SAM 3D: 3Dfy anything in images,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.446261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.968564Z digest=sha256:fe02e3278eb1cb690fb3bcdcd02fede0905fdfe878e04142b934fc66bb6d89e0

Observation e0bc4725-fa14-4ed0-92ad-7d4c849b63ad · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Stable video diffusion: Scaling latent video diffusion models to large datasets,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.410462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.972681Z digest=sha256:63851eee05f9654093876c929c6811ae284998f96c3f55d4331084b950536975

Observation 6256012a-1488-404b-b829-2dd13f541dcd · outbound

This paper cites DynamiCrafter: Animating open-domain images with video diffusion priors,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim DynamiCrafter: Animating open-domain images with video diffusion priors,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.329907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.976126Z digest=sha256:1acdb60616fa7310f0463543577924a49076702c03fc69bcc3d3a8f8caaba72d

Observation 79a7ce72-fd23-4677-81fe-eb0c77698021 · outbound

This paper cites Diffusion-generated pseudo-observations for high-quality sparse- view reconstruction,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Diffusion-generated pseudo-observations for high-quality sparse- view reconstruction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.233680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.979423Z digest=sha256:2d082e37977aefd66d44f7808644e5d473c0f9192cdce4bc91ed91f8ab544de2

Observation bf00be4c-c873-4a53-bc64-f0c9f02d58a5 · outbound

This paper cites Generative sparse-view Gaussian splatting,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Generative sparse-view Gaussian splatting,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.163767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.982945Z digest=sha256:f050756eed79c3dbdc90df6a60f9242c9d345ed90b1b9c42f768866cd7764f8f

Observation 110571e7-3778-4104-b86d-e2b6f605a367 · outbound

This paper cites Taming video dif- fusion prior with scene-grounding guidance for 3D Gaussian splatting from sparse inputs,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Taming video dif- fusion prior with scene-grounding guidance for 3D Gaussian splatting from sparse inputs,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.152078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.986345Z digest=sha256:a16972ebc78dc500c13540aaafb92176c4b6baf5c024c683d91f3d76ebb81571

Observation fe47e414-816e-4af1-ae39-cd1b6c489b33 · outbound

This paper cites RI3D: Few-shot Gaussian splatting with repair and inpainting diffu- sion priors,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim RI3D: Few-shot Gaussian splatting with repair and inpainting diffu- sion priors,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.138879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.989446Z digest=sha256:1b25ab1c154b7967347e281edfb86d7e0ef10131b0339b6a601a74790f546209

Observation 5c9c5b49-911c-410a-9c16-85062250aa74 · outbound

This paper cites ExploreGS: Explorable 3D scene reconstruction with virtual camera samplings and diffusion priors,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim ExploreGS: Explorable 3D scene reconstruction with virtual camera samplings and diffusion priors,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:28.096453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.992764Z digest=sha256:a03cdaaf120aa56024ad40b78ffec90142edcc44239ccb49c1565aafe1a20f45

Observation 92fd1116-929c-4442-8933-fb98a23dea02 · outbound

This paper cites GenFusion: Closing the loop between reconstruction and generation via videos,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim GenFusion: Closing the loop between reconstruction and generation via videos,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.933224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:26.995874Z digest=sha256:a1e64241b6b6d69d82b791b6e467ff0a19b75f1257d6df54c294651a6f337f63

Observation 04ee474c-0816-4ad4-944d-27b5dbf25fde · outbound

This paper cites Novel view synthesis from a few glimpses via test-time natural video completion,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Novel view synthesis from a few glimpses via test-time natural video completion,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.914050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.000848Z digest=sha256:c8db0e81796ac714a10a7802a54c4bceeb160e00ab2e69f9b921dc64f293ce13

Observation 86c095df-ca2e-4232-91bf-e40832b2fdfe · outbound

This paper cites Pointmap- conditioned diffusion for consistent novel view synthesis,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Pointmap- conditioned diffusion for consistent novel view synthesis,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.903052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.004036Z digest=sha256:dfc389bee5c22ae78a56661bcea14fe0db1f342b2f4255f06f0d0b1575278b8c

Observation 98d472f9-30f9-4df5-88db-9a50ecce774c · outbound

This paper cites A solution to the next best view problem for automated surface acquisition,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim A solution to the next best view problem for automated surface acquisition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.878397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.007135Z digest=sha256:b3fb39ba944c9873750a011e026bb6026e63cd36bcc1a256184ffb3df3366151

Observation e1c3876c-895d-4644-9ac5-2772e39dd726 · outbound

This paper cites Information gain-based exploration using Rao-Blackwellized particle filters,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Information gain-based exploration using Rao-Blackwellized particle filters,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.850000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.010396Z digest=sha256:5ccc899db7d4347a4dde302878018a63d7aec9a12de0410927b918d6aa5975d9

Observation 657c1d7a-4407-4e76-9d0d-1c0558522687 · outbound

This paper cites ActiveNeRF: Learning where to see with uncertainty estimation,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim ActiveNeRF: Learning where to see with uncertainty estimation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.783775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.013615Z digest=sha256:af27b89fac51a8b1892d0a2d36d2a2ff632ebfe654114e9c909a2fe643c7dc70

Observation fef32b96-abac-4c8a-9742-62ad1bc80609 · outbound

This paper cites Ac- tiveGAMER: Active Gaussian mapping through efficient rendering,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim Ac- tiveGAMER: Active Gaussian mapping through efficient rendering,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.661269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.016754Z digest=sha256:40223e55a4b34abf99d60010e482d62030df65ecde0ed81d142eabfc729b5fbd

Observation ccb5fd7e-c8c4-4238-b10a-770263ae2fed · outbound

This paper cites AREA3D: Active reconstruction agent with unified feed-forward 3D perception and vision-language guidance,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim AREA3D: Active reconstruction agent with unified feed-forward 3D perception and vision-language guidance,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.516105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.019937Z digest=sha256:90759fb5c770aaf7237d03d2eb5e4d5d49ed5948f0eb7eb17d69f328a77ff7dc

Observation 6cedea91-e204-40f4-a6ce-62fe90d30077 · outbound

This paper cites MAGICIAN: Efficient long-term planning with imagined Gaussians for active mapping,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim MAGICIAN: Efficient long-term planning with imagined Gaussians for active mapping,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.460956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.022989Z digest=sha256:9d71aca95d7adc2aae64e9be7275b3a789550c54ff0d362e6e281d22a8a76f78

Observation b9eddc77-35e2-4880-9994-a1fab04fc8d3 · outbound

This paper cites SAM 3: Segment anything with concepts,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim SAM 3: Segment anything with concepts,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.451225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.026357Z digest=sha256:b0323e7bda7e0afffb9fabac289bf147ecab288864d06f33368128b27f37caa8

Observation b7e774c2-c073-4f16-a977-7f81a1ccd1a3 · outbound

This paper cites VGGT: Visual geometry grounded transformer,.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim VGGT: Visual geometry grounded transformer,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:13:27.440793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T20:13:27.034152Z digest=sha256:fdeda6c59bd9129eb012e0ae62d6ee7e83c0ba451da805dcf23f19662f54c2cb

Observation adc37e66-68b5-4260-a47d-60bb4372cee3 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

R2S-EGO: Dual-Proxy Refinement for Sparse-Capture Real-to-Sim SAM 3: Segment Anything with Concepts

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-10T20:13:27.029996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:13:27.029996Z digest=sha256:e85a4cc83d946284c3d39fc1fc018486ff17832765d0cc9b556329569bb9af34

Pith citing papers

No inbound Pith citation observations are available.