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Paper Citation Record · LEDGER

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.04546.

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

pith.paper-citation-record.v1
2607.04546 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T17:36:01.254174Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ecb6d0b-cdfd-4b65-b651-beb01c8b7f64 · outbound

This paper cites World Model for Robot Learning: A Comprehensive Survey.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models World Model for Robot Learning: A Comprehensive Survey

Reference 1

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:d72308efe0b74215e9f5db501f00bc3855906d7c6843e31ccfee76f67adf8096

Observation 72753407-e366-4bf4-8997-9af22c79335e · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 2

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:de7e907e19eee28fa1abf69cf127e622f515466a0a0b57a73d6c175e09c9951f

Observation ee929013-5cbb-434c-aa17-cc83f225c596 · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:7bff3f65161475e641f4c92a8fa11d6c2b0c6988f99ac954519815088bb586ca

Observation a961c836-61ed-46ed-8de0-600c5fa9ebf8 · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:a3dd608bad8f92b2824f0c9167cfaf3d0d3a0211ea9b88e011c1ff0ee6e3ac86

Observation 5083fc73-dcf7-480e-bb2b-4eb2579f81b5 · outbound

This paper cites Mastering Diverse Domains through World Models.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Mastering Diverse Domains through World Models

Reference 5

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:d637b38b3ed164cb658bf94f971af8d856a6bf4eaa7ae7e6bffa251784ec5e24

Observation 3d2410a5-4055-4d2d-96dd-b570a9e517ab · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:30e8ce014b074ecee76f230b40271bb923183cfd3defd6d274a131500c857500

Observation 5aa8e53e-f737-445c-8ad5-42b6c0a2a152 · outbound

This paper cites Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints

Reference 7

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:358d24147c05184a6dbf73475a43dc4ce4d1ab6db0b7f28b590771384893e822

Observation a45395fc-3fa1-4d93-8a5a-d182632652fc · outbound

This paper cites LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

Reference 8

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:6d4a2c573129c9890d0f9e19f43b74e535a3a9bdc59a72539ecfdf6e8be2a5bd

Observation 6619da2f-e22b-4779-8852-97b322a6ee95 · outbound

This paper cites Wuji Hand: A 20-DoF direct-drive dexterous robotic hand.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Wuji Hand: A 20-DoF direct-drive dexterous robotic hand

Reference 9

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:c135a7469d1be6b052981a17c97e677c2e95893051dc93b779479f68c9a850a6

Observation f795dda0-8e68-4a16-8908-a46e53b90a97 · outbound

This paper cites SharpaWave: A 22-DoF dexterous robotic hand with dynamic tactile array.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models SharpaWave: A 22-DoF dexterous robotic hand with dynamic tactile array

Reference 10

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:29073d6ab49ae3903e8937bd14e1850d7f712f632e1fa8b597281a7127be3d33

Observation e185ee3e-96f4-4b58-b7cc-20161dec71b3 · outbound

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

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 11

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:56d746a1714e9bcfd03658eb2756d069b2e1e8cf718863d72aae8e94953ba6cf

Observation 321b0b43-fe7d-4231-a369-c79dbb4f039b · outbound

This paper cites Khazatsky, K.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Khazatsky, K

Reference 12

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:15286fd9438c6126a7f969613fbfd835e63dfdaf9935f248ec6341cadd0277fc

Observation 36418d69-c29e-4bb6-904e-302f3db530fc · outbound

This paper cites Bruce, M.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Bruce, M

Reference 13

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:2a64fcfd6be0ff3e4c8353a311531113f11b2a1499b321ca03b8e95add0f5f59

Observation 62f3662f-504b-4f8b-ad99-2f09ceb7162b · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Cosmos World Foundation Model Platform for Physical AI

Reference 14

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:eef72289e1cb3153ee188d6dca8531d45f395c73f6ba42fc2f1ced57b7cc7e01

Observation b508cc9e-11ad-4c54-8d44-a202c2772783 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models World Simulation with Video Foundation Models for Physical AI

Reference 15

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:2dfc1bd2dbea8a580fd8c87c4f4af495eecccb0543bf4e9771a685a021903008

Observation 1a57a726-aa1f-4f5f-8723-18ccf15598fe · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 16

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f3ccabd0cf5bc369b3d406faf22251160e94951dbf8ff16df8270c5075466101

Observation a96582b4-c08d-4300-a670-5cd64d584aaa · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 17

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f95db59083bd40274625788a88b873c5e94a85cbd51aa123e440b34163702f7a

Observation be8eeb1f-b92d-4e24-b0bb-47f08c3cda7e · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Adding Conditional Control to Text-to-Image Diffusion Models

Reference 18

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:5994bb99fa895b8861db19293979295dd22c5035cb3b3e0f3b36891792e459c7

Observation 58c0452d-2ab4-4841-a0c3-ca847f61293a · outbound

This paper cites Precise Action-to-Video Generation Through Visual Action Prompts.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Precise Action-to-Video Generation Through Visual Action Prompts

Reference 19

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f17516033001da3c41626dfd1add2c037ff3e314dff048ba4fb605edeb45dacd

Observation 2660d6f3-a94f-47bf-8cea-733cbda44528 · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:8ab481cabb2a4b8b363f8eb43d2fe909bbefd92ba77cd9a9444a6c115a54cbc4

Observation 313db8c5-0e3f-416f-b589-8df9c8c82ce6 · outbound

This paper cites Mask World Model: Predicting What Matters for Robust Robot Policy Learning.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Mask World Model: Predicting What Matters for Robust Robot Policy Learning

Reference 21

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f9047b9a41ab0ae56077000b2baa7b46d942b59cdebe47f5dc38c472ea357fa3

Observation 93d750ac-7d72-4cc3-b211-4c15b5914a30 · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:6be5535b48e60f4d53e1ee3c42a112a4e9e8811d81065e9103b1b07c85abbd39

Observation b08f7c27-794c-4aaf-8e10-1b0ad1326a6a · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models SAM 3: Segment Anything with Concepts

Reference 23

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:1beb1de5ac155dc3d60b7379761e2ff6ed18fcb6cee37e70efef1d8e6d4884bb

Observation 1aed2905-e3b0-46a7-8c08-4a7bf7c65d2a · outbound

This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Reference 24

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:a49b08d7ddeb6fdf91dc08d6635e92485c24d18d91926869a62fd56a6f9b6e0d

Observation 8399227f-c283-410e-8a3a-4f94f8d724b1 · outbound

This paper cites Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments

Reference 25

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:c972f0afb0e56830ccea447c408a054fc4cc3a33d0c06cded6f7fb0a6d5d7dc0

Observation 5af09988-1026-4fa1-ba17-3969511b1e18 · outbound

This paper cites Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots

Reference 26

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:9f0c0e468b725d72a9725c7677233b5193ea90e055a733da9b203975d14bd5af

Observation 1d877b07-5e66-4496-a4fe-02f40cb864c7 · outbound

This paper cites Rokoko smartgloves.https://www.rokoko.com/products/ smartgloves, 2025.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Rokoko smartgloves.https://www.rokoko.com/products/ smartgloves, 2025

Reference 27

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:9cf9c2e231530052fbd6193c1202c08b7727901f1901f12237c62fcd8e38a3a7

Observation 3f4d1a8f-9a7e-44b6-b6b1-5625a4432760 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f864f824d91692a976958708da16435ec31946b189c00468f77e4377c627e01e

Observation 73a33cd4-7a86-4ab7-9d6d-ccf06a3cc72a · outbound

This paper cites Classifier-Free Diffusion Guidance.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Classifier-Free Diffusion Guidance

Reference 30

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:2ffb972272ac47488dadf0eac73cdb7b4610f53fabe09bc995a3eaa8ca158596

Observation d9bbfdab-c954-4fd1-bddd-f72eba29552b · outbound

This paper cites Huynh-Thu and M.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Huynh-Thu and M

Reference 31

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:6d355f33c8a6894be0e1faaa815287cfb970c14f59333671c450230cc0ae7543

Observation 7046177c-34e2-4b10-a19a-3ab62d21caeb · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 32

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:451fe6814910fa3b80343bb3cf75c160accaab239aa93716501c3d24207a3e54

Observation af517c6f-00d0-48d8-943f-08ea2ad9cf8f · outbound

This paper cites Zhang, P.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Zhang, P

Reference 33

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:3742111b65080f4eba138d65727cca042b6c66164d28ee95ef52e8b9166b1e15

Observation f5a6d05a-fd40-4985-9e6e-61ac0f9df253 · outbound

This paper cites Consistency Models.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Consistency Models

Reference 34

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:f7c978a06564f1886d3433e34297a33368f78cebc4d1701df22dd5b8921286d4

Observation 33a88498-d280-4821-bab9-6cc486a1397c · outbound

This paper cites an unresolved cited work.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Unresolved cited work

Reference 35

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:2ccef49bafcebc1e10b0134d605913f9c3dce859636b587704ca6b0c191214e7

Observation 4967dd89-2fb8-4cd2-a8b1-395e9a7b223b · outbound

This paper cites Pertuz, D.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Pertuz, D

Reference 36

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:404df971c1da13dbde861bc6d40d2b49100134d8ab4f9bb44e0edf38f0f1a5b4

Observation 8fb5241d-9d51-417c-a6d5-0de6f1c19931 · outbound

This paper cites Deep multi-scale video prediction beyond mean square error.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Deep multi-scale video prediction beyond mean square error

Reference 37

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source=pdf_text observed=2026-07-11T17:36:01.254174Z digest=sha256:877e93adade5716013cefea5b165fa86a54bef2972731c79c5a2a3f4e36cfc34

Observation eead454f-6740-4824-b8f9-de8d4740007f · outbound

This paper cites Visualizing and Understanding Convolutional Networks.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Visualizing and Understanding Convolutional Networks

Reference 38

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Observation 39f715a1-c468-4ec1-a09d-ef72220dd163 · outbound

This paper cites Holistically-Nested Edge Detection.

Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Holistically-Nested Edge Detection

Reference 39

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