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Paper Citation Record · LEDGER

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation

As of 22 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.06699.

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

pith.paper-citation-record.v1
2607.06699 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T23:09:35.774366Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

68 of 68 outbound references displayed

  • verified exact36
  • verified fuzzy17
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abba9f0f-68f7-4b32-8801-2af7e4e8216f · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.325051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f1160b97ada685b1ccacbf1f4a268a3ee576144009105fb69f5b7dac00d2e59a

Observation fdc4357a-4aa7-40bd-ac3c-bb52e28850a3 · outbound

This paper cites Ghosh, H.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Ghosh, H

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.131094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ca8909f0b29a7ee1c5fed83f5dff11d37a85a17a1b6868ab6fb4586af69e62a5

Observation 51e85bab-5cdc-4f72-a27d-56435b18f7e8 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.305601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8aa591d867fa3b922d6ceabb37d2649fc26c682b01315c84a56d05eded58a725

Observation 695d36d2-c48e-46e9-8313-c8e430f2a3f7 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.366172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:be66a0b2ffa12e32c3687bf3cc53a228bc7b8d8937e0f0a5b195c3f78acf3dae

Observation e6a37663-113d-4efe-b30b-336b9c2771b2 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.305380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:97407553546395c91a7ee8e1d38cb508fed1a094b596613c04802bff8762a8da

Observation 9dd3d565-60fa-49d7-b532-fe386326abec · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.248024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:56234e5a373f130149c1d91c3effc652be9bc279f85abb57b12f7c1fef5c9024

Observation 9a4a5d25-3d5e-4400-9a9b-1d3d7a836e6f · outbound

This paper cites Walke, K.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Walke, K

Reference 7

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verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.200308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:974f997fb336f7e13ff3a946c3dd449d1050de5cce0b37b3878fe7e7b146242a

Observation 5c7b4cfb-0990-4a1d-a78b-d670825e7a2d · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.365766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5a313c22040d383a1fd7d52ac933bd8f6f9cbea44582beacb016edba5189f1b2

Observation 754576f7-914b-4798-9aaa-14b0a1d12aca · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 9

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raw_fallback, observed 2026-07-11T01:17:56.759789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5a5cb31dcd99de28446e45b6e83ec073efff9c972cecf2c32d235caa26289bd0

Observation 8a07e835-1ac2-45ed-b4e7-1b2fe60fbb8a · outbound

This paper cites Raistrick, L.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Raistrick, L

Reference 10

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verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.221813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0f48cfaac21a0a163405476359eb6cbb452c57cc75927b119371afa134aa43d1

Observation 349f0561-c395-49af-8bfd-8b6c1fdd70ea · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 11

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unresolved
raw_fallback, observed 2026-07-11T01:17:56.448622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5c2c2b32b4ab4c9901da2d54b4de9e5b56b167a4f889883abc98b15bad519a71

Observation 6b9e8883-126b-414d-ac15-d00e79c16803 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 12

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raw_fallback, observed 2026-07-11T01:17:56.255681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:853449a2a91a9c9d1885d7ff3f3fb303a1e373290dbf84e6801e8a9b6d04cadc

Observation a558a70e-14ed-4ee8-85d4-829c08495253 · outbound

This paper cites TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation TabletopGen: Tabletop Scene Generation and Interactive Simulation for Robotic Manipulation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.185133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:651da3552f3e7f7536c7ea732d58a0dac53c87cf8951be096aa885e4cf1cdec6

Observation 732c46a8-95f0-4401-ad7c-8c8ff88d0a5d · outbound

This paper cites Scaling sim-to-real reinforcement learning for robot vlas with generative 3d worlds.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Scaling sim-to-real reinforcement learning for robot vlas with generative 3d worlds

Reference 14

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arxiv_id, observed 2026-07-10T23:17:45.147012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:128b3b2cdbbbd3736572dccbdd7c779e6df4f6e801667b708509cf73648c859d

Observation 7159a74b-1414-4dc0-8f39-de3f130e702b · outbound

This paper cites Torne, A.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Torne, A

Reference 15

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verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.701957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:62096654565f56c500c2396aaa9e330bd676bee10ee298ebb2199220d74a8caf

Observation 6d121ad3-6586-4c5e-8f6f-93ef26694301 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 16

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raw_fallback, observed 2026-07-11T01:17:56.260303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 81a97a3c-6463-44f0-b3b2-c477f4076810 · outbound

This paper cites SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting

Reference 17

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local_arxiv, observed 2026-07-10T23:17:45.203573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a7146dd0-cad3-4411-864d-ce3da51d39cd · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 18

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raw_fallback, observed 2026-07-11T01:17:56.622919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 272bf269-8f9a-4bb3-9dc8-f62c4c9f0f53 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 19

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raw_fallback, observed 2026-07-11T01:17:56.667031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f807313cfa440bed20466ae4dd92fa114c2fc4074a9dbc007c628aca326e825f

Observation b1ce7508-6261-4f1e-9138-1dfadd611232 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 20

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raw_fallback, observed 2026-07-11T01:17:56.790103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c969cab68827debb9e0955d3c9dca9b8c9c26534eccab7b8e31f0b4e35e05004

Observation 2dd02495-0aaa-4dad-9c45-b50389464f45 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 21

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raw_fallback, observed 2026-07-11T01:17:56.546653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:1a365c72a65a3c870dcdc0828d48474a97bf8f7e806dae25bdee5ee6a7e19665

Observation 360873b8-4aa8-47cb-894e-f52184e6f98a · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 22

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raw_fallback, observed 2026-07-11T01:17:56.382367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:12406d29dab3900ef9012e323a262304c3927a840d1d7a0c11e257ad4a9d5778

Observation 5baf2048-61cb-46f0-8532-5b923fb10551 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 23

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raw_fallback, observed 2026-07-11T01:17:56.481590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:fa91dd2bfe230e8f46a6e118403ae5bf19738237531106ac657821128cf58d86

Observation bbba145a-a27e-4fc8-8dba-1bb86cd8ff66 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 24

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raw_fallback, observed 2026-07-11T01:17:56.046483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:a20c4ca4c52e0f36bb6c5ce9abbc4ac865e17c629303e92ff21f446018503045

Observation f92f5dce-9104-4ad5-820e-7893b3753846 · outbound

This paper cites SAM 3D: 3Dfy Anything in Images.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation SAM 3D: 3Dfy Anything in Images

Reference 25

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local_arxiv, observed 2026-07-10T23:17:45.028552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e9559bc821028a6c5c9c569bc7cad1fb4ee105250d4a9951d505f33f5df522d0

Observation c265b9f8-94d6-4560-a177-cb8ea86b3e3e · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.049061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8bda741f380b71a40c2dbbef0aa1f48f752f7c1d579ef22276836ae145cb103b

Observation c4b36541-9f31-4e09-affc-a1cdb331e94c · outbound

This paper cites Nasiriany, A.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Nasiriany, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.512106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:93521775bfd130e2a5cf6e0e27c6dcd5f817a11e62aad744cd51fef1750123cb

Observation 03f9caad-2401-4a45-b619-73f078d1e144 · outbound

This paper cites Nasiriany, S.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Nasiriany, S

Reference 28

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raw_fallback, observed 2026-07-11T01:17:56.823576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f5083a73e9b716a59424ba0ea9ae338fd50c4be14a87e9120c1a0073e75b3ae2

Observation c87b0232-08e0-4120-8e52-4aeeb0e5e1cf · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-07-11T01:17:56.081599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6709d4716908cd3820e706ff10a7b468b3abe4c53779184985d6f1b621813c05

Observation 0f08f8df-20e1-4da6-bb89-bc8d8d566b96 · outbound

This paper cites Zhong, P.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Zhong, P

Reference 30

Resolution
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raw_fallback, observed 2026-07-11T01:17:56.665191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:aef59b2be2a2de968baf6ac5b11a7a09f096c9a60a685f70eef04176f2c293e7

Observation c7694b84-07b3-4344-a60c-e8e0059487ba · outbound

This paper cites InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts

Reference 31

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local_arxiv, observed 2026-07-10T23:17:45.662669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:533209dc0f8969c59f78c16015f90851f70a5fdc6a5aa2e47dbe7dfb235f7cfc

Observation cd3959a8-8152-406b-99d3-cc6c153fa9ea · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.699427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:766a1c9acd7b403d4caa99caa041eb131dd2c95a26b6e0a3447ace300d7d463f

Observation 42509551-958c-465c-8ac2-9ca888772280 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 33

Resolution
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raw_fallback, observed 2026-07-11T01:17:56.162911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:d22f3069db42b569a16e223a66216e86cdbe42eea6fdfba20a2c1a331fc33a48

Observation 5bcbf182-de79-4853-a3f8-5aad46b5a8ca · outbound

This paper cites Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.625078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e47a32bb853a32e1b89292aed832e85f9d2dd1d50eed734a30dd3aa1b022a5b6

Observation f9a54606-c864-4f28-b4ba-b9f3da7c6be0 · outbound

This paper cites Twinaligner: Visual-dynamic alignment em- powers physics-aware real2sim2real for robotic manipulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Twinaligner: Visual-dynamic alignment em- powers physics-aware real2sim2real for robotic manipulation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-10T23:17:45.606754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8288f742c184b4d3b0cc1a8feffd4ed020166d1a680420d4943486e33fd8e8c7

Observation 112dff94-1dcd-43e1-a3da-02fa013cb76a · outbound

This paper cites Pfaff, E.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Pfaff, E

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.541198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:590ec4fea1bb03c2a7b3c6f1ea5479fff1645395b52b187c03e21b9cb6e632d8

Observation f71932b4-7671-4d21-95ce-f15e6fa2edfa · outbound

This paper cites Zook, F.-Y.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Zook, F.-Y

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.635520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c15bfdd1dcb6b234e92566b5e0262998eeb9bb5eec856884ec0a67b3230c0313

Observation f1afd91d-080f-47a3-878d-479f651145b7 · outbound

This paper cites ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.565618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:9f13590769f18120e7078cd1b4f4fe39d7713e87e5e0460e0eb6b977270e16e4

Observation 1bd0a6ca-0e25-47ef-8916-7d61952dc3be · outbound

This paper cites RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.546565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f6ca82df44aa263d5e9538c915f2689b2b4ba1b989193bb66e1ee9b2778b5c2b

Observation 17585868-2340-4107-959a-34141bc0c2dc · outbound

This paper cites Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.583603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f9cac17f6eebdfced91a47437cfd21484cc35b58e3aa5df4c1485aff5e9ae876

Observation 8f10aea9-ad9d-4c6e-b175-9c345f3e447a · outbound

This paper cites Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.508757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:368f7bffd77dbf425255d7228dd07d7f281868e0faaa1319081749829a6396b4

Observation fcb55d1d-07f8-4f1f-9211-2e45d873c898 · outbound

This paper cites RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-10T23:17:45.644462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:b40ff2c1bbb7fa0e2f4ecd840fde4ae2334b494382f808cea3e3fc9c4e2f00b3

Observation 4b3bcc07-13bd-46d5-b146-5ea2c5ad6579 · outbound

This paper cites Real2edit2real: Generating robotic demonstrations via a 3d control interface.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Real2edit2real: Generating robotic demonstrations via a 3d control interface

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-10T23:17:45.681458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:d7a83a9a32534ff060c6154eb4633794071153f361bfcebd57127e976a015de0

Observation 34731e18-97d5-4e2f-a2a6-3bfc8a2f62d3 · outbound

This paper cites Mandlekar, S.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Mandlekar, S

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.387390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e280d90ef5b1b2a2f954ad104336a8d0758f4ec25d5848efc91032cdaf9dddcf

Observation 8a430fbe-a46d-4cd7-8f05-92791faf75ec · outbound

This paper cites Jiang, Y.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Jiang, Y

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.418264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:00128da2e8759a18fa1cf9ae9a0e3b2e3fc52051e8744af56a8e89b5667910e5

Observation 0e2f72c2-9786-469e-a645-e493f53a6bd1 · outbound

This paper cites RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.528235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:376605789c6761b1df95a20db48993e600d9bde800f14f85978881379b8ad0a3

Observation 20031394-d9d8-41f2-9b99-0de10830fa47 · outbound

This paper cites Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-10T23:17:45.286883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:b65ddf3d6fe53d5a4741bff782b6193607d368652065be78a4c6291828cb163a

Observation f70d5bf8-32c1-4291-8f68-8494dc555585 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.346469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:60f755356762802b7dfa8a02da771f0017ceae204d984c356ee6bd1797d77701

Observation d96cd47b-c7a3-490e-8b02-1c1ed5db03d9 · outbound

This paper cites BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.385094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:35dbfd4d31b0a72d064bdc57bfe9ca5e90edfa7bfe4257eb7896e01c6ad8ce04

Observation 3c831130-b3ba-41da-b0bd-cbfb2c0bb0bd · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.150058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:80d124d9ef2bc9881c9696c1eb59dfe96b7f96905ea9c351b6827f8a1055369b

Observation 28fc050b-833e-4a5a-9204-7aedfa40722e · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.166618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:368c70066ed71537edf4edcd0f1777322d6771fd9d587cdf9338e0cd71b713fc

Observation 37329529-21fc-4949-8a5f-3df9051ec0ce · outbound

This paper cites GPT-4 Technical Report.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation GPT-4 Technical Report

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.088852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8b385ad7956b5be1875aa7f5d955a950cbd4295c89a1e6e52f3f0fd4d490eb8b

Observation e02c6e94-d4d4-46c2-83d1-84ebfc7eb2cd · outbound

This paper cites SAM 3: Segment Anything with Concepts.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation SAM 3: Segment Anything with Concepts

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.109058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:900b5b941ec4d539fcc2fc7cd17443630c8324d6673d2e5a1a220ba54fd78fc5

Observation 55b1cdbd-e7c9-4c1b-bae1-1735f0b29d9c · outbound

This paper cites Marble.https://docs.worldlabs.ai/, 2026.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Marble.https://docs.worldlabs.ai/, 2026

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.323861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8fea5c1de6976aa8c2277cafed3f28ce28a59e8b50b7ddfa2a16c7073737ffdf

Observation 342e7e6b-4157-496e-ae02-1f89975658e7 · outbound

This paper cites P3-sam: Native 3d part segmentation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation P3-sam: Native 3d part segmentation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-10T23:17:45.030582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ecb12336885ca8f498bdbff42aeafa8b39d98e76034e3ed1c977f971a21c4878

Observation 2c371caf-d51a-4e51-b11a-08b3c739abd8 · outbound

This paper cites Xiang, Y.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Xiang, Y

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.292264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:99e8e6ac1dbfcb1491d4f73c17a64ebca6d05d16aaf9b1d6819549e9b37d8403

Observation db405b71-92c9-4191-9b1a-43cdf3a26add · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.070293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:80efcbabed06aab5f1b62bf3566934a9b8b4ac4bd0adffecf43bb2a2bd7a86f5

Observation b97f3acf-5352-445b-b124-f6c8d99f1fe5 · outbound

This paper cites Mamou, E.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Mamou, E

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.731286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8fd607f93697fb44be9032be50499e777e5d6a76b1215ccc7983fc567baa59ae

Observation c4da27d9-d5ee-454f-b2a0-cb8653ab663f · outbound

This paper cites Isaac Sim.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Isaac Sim

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.481729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c51ab604a39a331d5e20bfd50fc199667c4ccc0abc9f85f1d596f63d63c9515e

Observation b50de03a-78fd-4f93-9e4d-49bb00218093 · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-07-11T01:17:56.172543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:559bc1736f33268ac07141bd02bebc79154dccc28a3ef3d105670549a927f04c

Observation 871b27a5-900d-47c2-8747-24d692f8a3d0 · outbound

This paper cites Sundaralingam, A.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Sundaralingam, A

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:55.956978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6e6446e9ec0384801a3ef7a7294c83d78de0bf6580f1250d539240109d632190

Observation f463efd7-7c5b-405f-8df5-2e130be23932 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.488323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8e35d8f73ab7977a04d7b86dd60fc414821d88d8f1214b9a7c1f09ba54757d70

Observation ddf73ad3-08ab-4f5b-874b-bff7a5d2251e · outbound

This paper cites an unresolved cited work.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-07-11T01:17:56.856075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6832194a4ed5f2a97399d1d5892375c32201fadaaab531d39e1da11a23ca61bb

Observation b7f0c587-4643-4f32-93ec-f4b96116d6f7 · outbound

This paper cites Gemini 2.5 flash image (nano banana).https://ai.google.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Gemini 2.5 flash image (nano banana).https://ai.google

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:17:56.358647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:27b497f363bc6e642d65c0bcbf055af571da43a8cb0208633f6bfeab835942dc

Observation c754cf3e-4dde-4de3-abcb-b21fdb1a0721 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Open3D: A Modern Library for 3D Data Processing

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.444709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:99aff585d04bfb71b5d3a360843dc6a7ba50f79f850b2d85bc11fa5cdf03fb00

Observation 15b57b7a-5796-493f-a97d-a293c94dbf1e · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.425453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:83949ced1728f6f7be5775b20b8fb9f603bf181a3619674e3f616e6d905e4268

Observation f36b5fc1-d3cc-4751-8d3d-d46febb2364b · outbound

This paper cites Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:17:45.470281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:7f49bf1934f5fa2507264d293d44766a8be6b0a4537549c4e9013a7a68b77d85

Observation d6f790eb-f195-4bda-9480-d024aab2809e · outbound

This paper cites MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation.

RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation

Reference 68

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verified exact
local_arxiv, observed 2026-07-10T23:17:45.617740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:1bd295da4e7f3aec2035708c626b7dbb2c1cfdf0cae42e82031d96d2889b7393

Pith citing papers

No inbound Pith citation observations are available.