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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.877033Z digest=sha256:b64f456661a999edd44e35e27dae7b5198fe426b29ab5c71eb22b0ea8dedc539

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:d0b056f03746252e62ff23de0ba9c564125d36dc4872674afa2f8b90e53152b2

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=sha256:8d9939b07a6cd19213a70a8c6c4cad133a1cb30f384f9ad630faea798f8bbd70

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.888735Z digest=sha256:1b565f21efdc31ae3fb356c9bfffd5813a1203fef0598f23a3c4f04b1f193691

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.892467Z digest=sha256:255bf708cfef0bc1a5d56623377df0320fba96c5bc79f106a2d684ea05214c73

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.896394Z digest=sha256:2cef95a315184f40910c9db0ecaed82baa36a74f4c142bb8d1d1d5e1f973329e

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:b456b6459442ecaafc80a92eb3fcf713f3b51f5c8a37eed3eb83495aba44dac3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.903912Z digest=sha256:45edf1499babaf4082ac6887021b39f90a065a041a26961724d73834ddf59869

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.907142Z digest=sha256:f1ea91459a495c4a28788af73a6668428ef16f5662afb932e0693e626bf0705c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.910866Z digest=sha256:fecfd63ac09bd244bc55e1ebf20a4010fffd53e928de81c21aea810adbd2f1a7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.913642Z digest=sha256:51b48df500cb1a924d5da1731c771de401bdbbe21c413c5a0c2498fd5eacf1f7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.917066Z digest=sha256:4d5f7c6ffef1434e2bf4a2fbda733becfdc0e0073b3cba1d5417531e3e0e3f2a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.920179Z digest=sha256:9f57383fcc7bff5c964b1e336aaaa292e6f0718c285421be847f92e907ae5f5b

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=sha256:915d4f365f1a0c0de9664976f0bf0181161e40a91db5eb2ae8ac9f8d8307b6c6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.927787Z digest=sha256:1c678d86411147aea065f9b7d8f57d85c8f059a3acd31a2a63634b70714c5341

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.930882Z digest=sha256:e3b7ec10279206b97ab28d79cc288b35e7b992e7b2a0a2b9a4a3f927971323d1

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:f12202c744504b724f8f963ccd0d51dfb1c887d1d5bb18a74139a24b338bc50c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.937682Z digest=sha256:31ff396fcb35b0a0d3ffbdb068fa3c8c6a95a0762974fe0063db82491b6a2fe0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.940957Z digest=sha256:0168843ea84de47182935d9330bf5c1adbc89a52dd9dbc2c9420bfeda0c888e2

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=sha256:73c84510f2b2c0dc18709a09ec319bf8d4bca9fd101f8ed63d5b3e3836575721

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.948031Z digest=sha256:c3826b1a1204cf7257ec20a8aaeba8a9136078a3015ad55bbdf41e278ca788ab

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.950976Z digest=sha256:ff1a974e49ccc032149a2d70c63fb324900affce4e13e076bd9579d5d3b1e97f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.954416Z digest=sha256:ad8a19e9a71525ce318c128f8dc42c6bc094cb764e8dd19e00e01dde9b06fa8b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.957732Z digest=sha256:cbdd43c1f21fcc6c7604acb2254c6bb96ed34395d1ac6f649bcf7115e228e051

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.961934Z digest=sha256:2e6c6a0ff03eff6cf195df837d94d297807d3cff4804354d9e50f93870312f4d

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:e5a46b8b2e5fe5aab367970a31130c5918f644815846300733f5afdc3cc6caa5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.968564Z digest=sha256:900dd39e02c4ad4eb47a81daff142fb550199b7e6f147fd67cff456bc2bd6ff1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.972681Z digest=sha256:10478b65984e82b10ae23982ab0bf88777e7255fec2ae611e433c825e679a3e6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.976126Z digest=sha256:5e06ae30a97bbea110ba88d12139f89c01a5f7dfd9c44d81eaa1bca5204ad64b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.979423Z digest=sha256:7e8da6ea9f35b1d47892bd174858869d2cef850d79cc518d3340978979297e0b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.982945Z digest=sha256:7dce767f4ee472cc2cb6e15d086b92b41565489d72440a707539ac0f3e96c98d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.986345Z digest=sha256:97331e54a302c4bc2d05abaaa353d26ef052d04da0d0728f0684dd7514d7f5b7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.989446Z digest=sha256:06e240ccb70fd48a8aa8493b9aaa17ed84da0f3cef0195bb0f659d198cdc13a1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.992764Z digest=sha256:fcf40c5c9ad48fcbb48a66e5b5c6b9896f22f0facafc2c5371a0f0854eb845a7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:26.995874Z digest=sha256:5595103f775067e6814d4e2af1c5dcdf8da929c63be484129a8fa500f9d37086

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.000848Z digest=sha256:7bb8c222a946bd6db2ab312cae32dcb904ae77f176dda117a84717a30907e214

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.004036Z digest=sha256:17efaec3d7b84b9ec317503748860924c25ef16505afd788888214031fa00098

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.007135Z digest=sha256:cfd96d14e02c9decd1972aa205129f15051f1bf571774415f42e5f4bb4a8f6c5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.010396Z digest=sha256:ab135855a4ed18ff4974e28bd71787f7a9889d6cbfb663873a0135737efea58d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.013615Z digest=sha256:6edf7f3f33fc57fc13f077fd4ec8b887b53fd7f59d9dcfd74764f7568c3e11ef

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.016754Z digest=sha256:b9ea8f4f5aa28fe15e640b637419b1382018dec65c386aaa5f0e7e392e841915

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.019937Z digest=sha256:dd9b83d3535c26179cdd116acefc549891a856baaf2acf2868fc562e7b041a1e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.022989Z digest=sha256:35fbc260938591b03c939d3c0f99978570102426f4eef77b57c392b3b24f6196

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.026357Z digest=sha256:2eb4d73f55343fbfcc382bddcc1cce15f7ff43cf2f722598e2c1a6d4add30b8c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:13:27.034152Z digest=sha256:bd589b53d571b95159662c5ed9ad1ada5cb8e2a94774ed4842b825eee86d5b07

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:cc2a78b0eb5014e672d6d24528ece795cf2c7df85e3c2feee61646c17643c8dc

Pith citing papers

No inbound Pith citation observations are available.