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Paper Citation Record · LEDGER

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

As of 6 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:7857a209b2601a89a7ec281e774b0995cba628f25d89f4083d12c4948695dd3a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:632ab512126eb28c96f416470effe8dd6e0108b2c1752ba2a4cd7065168c02bd

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:168ea6b72a862cdc2a77310ddc34830091da5b7bf51728bfe53009fe84ee9a80

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:dcbc9f90fc93c16b8ed630a43c9308e7f92d9759f33bedf67a3a4e4d1276cd63

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:774bcf285dd42b40cc9a92e3b3b04cba08a7c60d6e4e174e5f608a70d6fa4421

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:7d4b2b2d711f75c13fe02b0758cd14daefe33be6ea72039db31f4912fa8d6cc9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0e68c4a519f27bc2f0c2b20b73b0965554be78be8a461a2d42cac530a51c2d28

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:59ad4212a868b5a465961d5d7e0f892166156dccd94d87846cf87be864676ca5

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:bc5f43e17e74bbb0d07e449c0d3f929c1a2bd310211a4424ad8847ee8a0a9ec8

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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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0b6b396b313622b0d5dae29d5ad0b974f6801a5d0c39228ac112e1714c619975

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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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:54d05b61fcd655db0d031eb9d325d82d68b62cd0606f67d6de305938c52cebb4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e5c9a54507722fff1982645816a3b80a121fa014e8e63e6d9ed372945bfe31ea

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:8778667a265858abd95b3924761b359f5e8a1b04a79c19bc5a19157a433ac383

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e731818661d3088c049e5e15c6018b5a3664e65bb441f84268af6d8b974239fc

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c6a6196e5afa408de76e0d0c356a438596f38f3ebbdf0ac9f0d15f5b189b7688

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f46ed3455338c9c4bebf2e419f2d2b7a9ff41b261337d74d4f1c5cabacd44082

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:4d507770d81b6200f42ff8fdd191b18a7e409baa63f4d086405e9b6ef39b6026

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:237b174ff4f21ed6978c17eae671175e4f7f52dd98df0a5b163e74823caa5ec4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:3ab5ddfe062e1958c26b1a85539f132c4326aea608dd0a5809ea711884622290

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:22d4a6c9fc1dc22fc442714884c88952e3ae3557c2407c3302e4863c43c8bc82

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:26a0e435c0f58126d4e3cbede468720847178aea4c380977997ed2d7cff77837

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:dc755ced167d46738d75fac60f0205cb0af2117b3f56a19441373e98657273ea

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:47eadbf8c4f12404ab6df110b36a8fe4757fab61b0f2006b229276338babf4cb

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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verified exact
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f5005d75045a2de1442706e46b8b7d493d82ef8c055e4394099204376b57afc3

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

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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 2026-08-06T06:34:29.942622+00:00.

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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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:9b1944258124259e7c5182ba698091a752b5422dec226b58f9b94e97afaa470b

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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verified fuzzy
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:7a108619b8096318ea86f21a47d009977310ab0d2c61d5d21aa8a062a51f4af6

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:d995ab4656f7be6d66d2424795fd90f6680f08d9030b36db5e137bf78d3b7c07

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

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verified fuzzy
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ed476e4d045db8461078fe30e40490691e096564b230978c866ac3fdee429cbc

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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verified exact
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:e2bfeb2bfd764ea1c9a66fe20f4facb0c7dd9ae28b69715271817844ca7c544c

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:d3a218fb37b81b456c3832bbba0feac2bf34fa174104633def709e60afa5fa5e

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

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unresolved
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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:eb71206122a02b4a0cd6fef2b16dce33bd812cf64d4ff0ff2141ee0f2ce6f5d5

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:48c663a750b37ddde52d43ba44db2e7ed5ca93049a8eff66d5e5160f5a31ec77

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0bab77cd089773c59b8fdf38b7ea0f84f667c7b1148b501bd37588b91e289900

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:42f646da349771a767113d31fa8d70cb5ee6ea8fea047d3bca31e1f2d7cab7e4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5bcc7f3aa3e1c491226301714205c2b7dc486a43465f9deb774b03e0d66e5a48

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:def9cb4e0c2812347bdd79f78ee4691aac0146d37704606801ba8d0e8630da14

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ab31d051a287feb63034f729b2125ae4e10345dc31803d061e230f814ad75e8c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0077d5f16d830a5d42ffa6fb01591664ab1ec64dc9594d10269f0a98ec76bf45

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:a757bc76c59c65f7469746d1f0fee051a8a140aa5b6f107e0e7685a6940c7d1e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:fbe0ceccfe8f3fc7922c861c96ed5c28f7c8b8efad83e82ccdc609c05cce831b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6bc640dfec81aa3ea4b2ce12664c9723b02fc39ddcc68c01d71f834cb4bf9e6d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:f61f6398a04996af1d8eb1cc2cfd3c60505f465a5cfad1d57a693f8dd914d91e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6dc5aa4a132b86d77ff93e5991f5bb3381cbeb2effc2c8ade0b46ad9336c2c1e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5791d02f46b3da3ea612df7a3ea97b0e27e4d5f657d27f9bb19f88e9a074d5c1

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:cdd2c760992b28881cedc1647830aa4c128f1659c8292540902cf9fb026f1d8e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:792a02380c5d66b679b2d51ae5c111d262622fe5d6286229cb5903e516855c04

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5b462d660c2f84ef1e03738e82c90a469d3365449feb78485035eb382ee64025

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ff050db032fa39e7b9e448aaa53d47ba7bdf860cd67a2557956d8d77c3c501f7

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:cda4d7b7a92d4a27d1d6a45a6976b7ecbc3c4debc10a93841504176a618d71aa

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c75c4ddb92c75dca5e01a35d18ea6f133942bbf7f6f753e5c1f3dce47a988142

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:ada802f771ca15e9ecfd7362ee2e1c147dacc59ba55e48627e4629de9c299ef8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:bd11a25a0bb11a0f2e734424786092da5a66e6f1dd5eee96617313a00216ff61

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:151920406fb33a5ca1b2760739928a88197754b616d38ea8a8cb8127f091d9a2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:5f7f09498a29f2cdc17e99abdfaa4d0295f1b29dd96ec4a284fe6a266198927f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:9c75b9fde1343133030c686b25fda39b5fb93fa16b879e7b5fe76ffabe6dfc37

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:d8462d46f8a63f78111a120b77f6570197b2660823340ab3a7f2c19d6485d7a9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:580416e4f9763f55595fd0ded9f52ff1c24228d272f994d255f5f11bfb708117

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:0eda5f885db48c410585b0ac9da71d9e268d4dc31c478597224213c91053790e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:6dff79730382499a512d0c90f5381b9c066dbcdc2a3baeb819d5281348d0c6da

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:4cf2ffd09a6dabe60aeb8971dbc540b96f89b5f43b2d3a09cdb659521dd0de9d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:941fe81c2cfc8ded1bb4ab0af68beb0f9544b85fee7b3cd6244f5feed7133b58

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:c30a1b977f9ac1321e43a3d64480de1ce4535ef15a464a7f01168db2a476184b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:60ab282607b6f5075c4240c25679458fd4bdaebc7797a7d5a8bb2ce1afe06bc2

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:32512dfdc70b12c5672b7acdddd52e48a864fdaecfc98e2bbcf982c836294603

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:3ce7a4807b506cf5191ca235fef1c7496bacb1dcd4b0354c5709e0af5c1352b0

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

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source=pdf_text observed=2026-07-10T23:09:35.774366Z digest=sha256:a9419f73c1ffc65d6a9cff54837041c77957468d3c3dd62a3514b081d372ca47

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