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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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
raw_fallback, observed 2026-08-10T20:13:29.372284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.888735Z digest=sha256:e711c9fa0856d52a2e081cfad02437cc2c2e4e093793789d5cbd8689196e14d0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.892467Z digest=sha256:49ce72f3a9eb6bc333e5de58d01383b588f25087b57830f2b9876640bbea5023

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.896394Z digest=sha256:e40d32a731ea8fd748a21dc53d794d4cd0783015f0d58f7ce3db9c5f0a5440c4

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=sha256:92a935bfeb14ca959323926489da1661865e8b1074ac73a756ee8766b90341a7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.903912Z digest=sha256:6386a9ad73671dde04841f951e14fe6f581a87ae15e562c3882c9e9d8ea8fb4b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.907142Z digest=sha256:475f1b441443a557b44075701909d26ef794710eb0ea8093e677b705c0b1824b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.910866Z digest=sha256:a31f1d0ab5266f5cafd90b3d7e0809dcce65ae5b90f41524209abcf70160eeb1

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.913642Z digest=sha256:ed67e2c2e49b84b2eaf9a52cbfcc279d66bf7cc9b4bb54c9e6079796a5b700fd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.917066Z digest=sha256:26d91e853533768ff42ed02f4e28f0f604feb4e91f30e464da9e0ee2393f7cfe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.920179Z digest=sha256:e17e38bfb8803000590f0ad56e69f6d7df1fb328e332d642260c88c30b7fe321

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.927787Z digest=sha256:936e84295515f3d04867919dfe9bcee0317fc8177dd6c8b1fe14228a6790a937

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.930882Z digest=sha256:23ea41e711042b12ae70c765e701dd41ecc2b83643d582c38c87e7d321a5c06d

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=sha256:8c0c3f9403d12d725f1d4c06b21a95de87e065f41459c8ded61af9c0addbf8d6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.937682Z digest=sha256:dfb00bca9152126675a8927320b89b84c0dd38c7feb62c57b0bc0ade456c2e40

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.940957Z digest=sha256:7e2c1c14b1db3cc1f2837b54b9c563a85e338f045ff930b13c6798ba707c8251

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.948031Z digest=sha256:5b1832088251983e33625eeccfee84f90844c7bb190c3a01c8a27992edf4a4e1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.950976Z digest=sha256:9cb52b7082d5c051eabb9d6a3a5f8ac13ad29cefdd4d381d26507e3aa5d4aad4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.954416Z digest=sha256:5de9e223a470c042c052d7d9d152bb7834da5c7cd91f6634bdf18b07af57c817

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.957732Z digest=sha256:d50b4b9929d890d0d8b1c2e8156f5440b8fea794a218d3a0419c1271f37e68d9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.961934Z digest=sha256:aad695786b983dbd91b192315312ae07d77c91989fae769b5349f40fd50674dc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.968564Z digest=sha256:8179e088b7cb30cbe5d321af766119b4b8cf6737a92bedec125aeb4afe61253d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.972681Z digest=sha256:6e88b8f8622a8e5b8de846efb1d8f91abcee0a4f6e433823e6d27b573b69e052

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.976126Z digest=sha256:474d6804631c1747040a3317c8940b5c5ff47ac07435a07799ca4e0cc2343714

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.979423Z digest=sha256:8b1e71f452c65aec2779025a8aadafeda52456cf7da5111f7f0318251132bb6e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.982945Z digest=sha256:c9104d13e4e3e048b35a16a95946b5a5fa45ed391f57b1d050fbf97df2ffeca1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.986345Z digest=sha256:806bee2b87cd48df7ca979109520db37ea0831fa247fc8088f3da09a499fa27f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.989446Z digest=sha256:788f3d5cb54a5fcdd9505a67666fb74c3d8527b9e2e8e239f133df50cc226dfe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.992764Z digest=sha256:7c02cf62daef701829652ecdfe0c8da1b3105ec98bff0256d95ced679755de67

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:26.995874Z digest=sha256:86c310c17a70248146f5a0b0bd608561df348c5d6816836d69b8da8f0d084b4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.000848Z digest=sha256:0b12da873138cb2c2103ac2b852722ebc494f6be5838254bc8ea90ce8e261589

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.004036Z digest=sha256:125021f6c7b4fb053494b086001eb9a0407f19e4462126e3fcf95a257bb2f4bc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.007135Z digest=sha256:5121b2eda4a261320d7b3ab66f929f61ccca9032c15b1a2c50ba0373340b11de

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.010396Z digest=sha256:11037c3333e5d8b6052247b6b02e05477edd03e71e1e6f9eb637975e868d3c26

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.013615Z digest=sha256:b2ef3aba9c49bf93f064df46f7e1b3992bda11f5efce675f6687b576fdc77e0f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.016754Z digest=sha256:51b29f094ed526339d07e4e2a95e15289dd76a62556d8703cb7614a56c3cc07f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.019937Z digest=sha256:513af0bc4ec780018421717ae546329c516f3c23879782c7dc7ec94eb41487cf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.022989Z digest=sha256:51773e3a07194680b6f832ca3fc6e826cb24c69a76c6ecc9db2e3939ff706fb6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.026357Z digest=sha256:b298b7588d32c9040a59702a45545594b8154f5f5eb1fcff6e881e46ec1e8a3d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:13:27.034152Z digest=sha256:564830f0697ac134b773e33d21a42206d580615974f225e784a922eb2f63e320

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.