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Paper Citation Record · LEDGER

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations

As of 23 August 2026, this Paper Citation Record lists 100 of 146 outbound references and 2 inbound Pith citation observations for arXiv:2508.17547.

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

pith.paper-citation-record.v1
2508.17547 v1

Coverage vector

measured 100 of 146 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:08:57.796812Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:28:27.129668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:38:05.185306Z

Reference resolution

100 of 146 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0887319f-84b4-42c7-94dd-d416c0794abe · outbound

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

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations RT-1: Robotics Transformer for Real-World Control at Scale

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.449040Z digest=sha256:1d0f26c33f283d9fc20d3e5f9446edb075531a4c10d18a5b47558330edcb4d5f

Observation a87aa2cd-3651-4d61-9f81-d8308ddf8bdb · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-15T17:08:57.453215Z digest=sha256:de6561adfd7e2b56bff70fafbfba11855be911873002cff9441b24f3ec6cb771

Observation 0dc34fae-af20-4fdc-accf-72ee70428a8a · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 3

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source=pdf_text observed=2026-08-15T17:08:57.457337Z digest=sha256:ef0fb6a2de196b007e529c8f454bdf6291a9aaec9049b1ddcddb58836e9769d1

Observation ebd09af5-ea40-4e48-9a78-3c6eb178dc78 · outbound

This paper cites Ravichandar, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Ravichandar, A

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.460681Z digest=sha256:f750dd276e8d7f1091ca0b28cfd1a143b0843914fa4f780752faca70c364cc26

Observation cb7edde0-afde-450d-8ef5-ddb35f56c0d5 · outbound

This paper cites O’Neill, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations O’Neill, A

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.463956Z digest=sha256:553bb6330191dac95eb34cecf71be270b02788a96aca3b8e55c721dbfd5e8feb

Observation 8624f56b-399e-479f-8f8f-803a0cda53b9 · outbound

This paper cites Mandlekar, S.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Mandlekar, S

Reference 6

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no resolver link, observed 2026-08-15T17:08:57.467437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.467437Z digest=sha256:289feb3a980eb8e341728d9876e305d1c3f520f354c4c1b5a6d0dc1ac8b0ca46

Observation 08c2da8b-8b97-4946-8ee1-21d37d9a1d8a · outbound

This paper cites DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Reference 7

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source=pdf_text observed=2026-08-15T17:08:57.470910Z digest=sha256:bba33cc39a4e52efbf39a78f6878ced7e081060d8b1ba7b66e22d6530bbd9737

Observation ce1962e0-acb3-4574-b2ac-263fa6dc315e · outbound

This paper cites SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment

Reference 8

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source=pdf_text observed=2026-08-15T17:08:57.474103Z digest=sha256:9671af0305f651592da07b2ccf9d0d3a409ee437c2d5ea0634ccae9018d90296

Observation 77552a9b-32a7-49d7-a522-488ca918ffa5 · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 9

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source=pdf_text observed=2026-08-15T17:08:57.477055Z digest=sha256:31d6eb7a3dfebab92f7d9eb31bb81325f663b6a68e477b0dd835b9887a4feba0

Observation 26b432bd-ea0c-49da-aff2-57daf76c6a28 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.480282Z digest=sha256:96d0dbf59f69870f5af89c3d766d005bbf48a44b85a3ed827b1f64201efa4894

Observation 603308f2-56ad-473c-9915-1340a7e2a04c · outbound

This paper cites DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics

Reference 11

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source=pdf_text observed=2026-08-15T17:08:57.484703Z digest=sha256:db57503638f1be118ecb1b0576eeb15186fa4213070c3217c94e0e5fc917cba9

Observation 06a1eb5f-e7c0-41ec-99cd-ebdd029e62ef · outbound

This paper cites AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency

Reference 12

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source=pdf_text observed=2026-08-15T17:08:57.488952Z digest=sha256:f61d406b734e2c89ffea7fc58874f037c5fae78351368b11c9246baf061b539b

Observation 3b4bcf4d-c881-4182-ae28-3b2d9790b684 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-15T17:08:57.492142Z digest=sha256:6ff6b0d68b8e8583d1a60160a47803137da8a9405d08aa6570d71e4d9ae13252

Observation 579f8c6c-2f65-4e16-989b-ad195bc9def7 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-15T17:08:57.495045Z digest=sha256:341b0525a9142dbd42d1a6e204dbefcbe5311547bb911759a62195ca46d6d6f3

Observation 1a2702c7-b7b3-428d-ba59-534b4b300325 · outbound

This paper cites Lessons from Learning to Spin "Pens".

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Lessons from Learning to Spin "Pens"

Reference 15

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source=pdf_text observed=2026-08-15T17:08:57.498803Z digest=sha256:c2f722be56112c0b476c0e37f63ba9ff8c15bd53166c516747f2dd492015dd83

Observation 1a89511a-baef-45ed-9a45-27b09ff05804 · outbound

This paper cites Konidaris and A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Konidaris and A

Reference 16

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source=pdf_text observed=2026-08-15T17:08:57.501774Z digest=sha256:158b95ee7dc6ca2ea783762ed64b2a38a7e6dd91c5a97650b66c6f2f787ad44c

Observation 31bd0bcc-8994-48c5-8d6e-ccc1cb99c1d5 · outbound

This paper cites Konidaris, S.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Konidaris, S

Reference 17

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source=pdf_text observed=2026-08-15T17:08:57.505230Z digest=sha256:01810799170fbb762682a41e8bad3a4cbfd078b9940ce7893b0d0c26ad6f6d85

Observation bcd29d3d-06cb-4977-97bb-5f067a1608f9 · outbound

This paper cites Clegg, W.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Clegg, W

Reference 18

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source=pdf_text observed=2026-08-15T17:08:57.507915Z digest=sha256:497ea6ae1deb47d7cb473af5077d3a1580ca1b606e8972add57555b75a3f2968

Observation 0e7e8b12-e823-4332-98b1-42b1a862c8c5 · outbound

This paper cites Bagaria and G.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Bagaria and G

Reference 19

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source=pdf_text observed=2026-08-15T17:08:57.511984Z digest=sha256:7f387df000d2959acfe4c0f714dcd981d6af89deed7f57b8da555a361c55e7da

Observation 5319bc57-5818-420d-9302-07c5e111eb61 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-15T17:08:57.515003Z digest=sha256:9664e8b48a968e07f563f2590121c2099b5c1f5858041939a8efa9968d00c369

Observation 344ebcfd-e00c-49c6-96b6-b000a3e2c93d · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-15T17:08:57.518986Z digest=sha256:9633052da7250713523dcb086daba7fc003f1b19225bc36e6bfb03f61f8c6db7

Observation c1f488a8-db2c-4259-b206-5d50056ea855 · outbound

This paper cites Multi-skill Mobile Manipulation for Object Rearrangement.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Multi-skill Mobile Manipulation for Object Rearrangement

Reference 22

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source=pdf_text observed=2026-08-15T17:08:57.521898Z digest=sha256:8b087d6ce4ad0be7b6031366377d3bb00f2c2bc24de28a47b0b3ce63d8de9a0b

Observation 95f582c4-6a15-4ef8-9da6-52bef77f8755 · outbound

This paper cites Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

Reference 23

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source=pdf_text observed=2026-08-15T17:08:57.525432Z digest=sha256:7f8f62048d76139fadebe3537f17987e65b9c33ea9c42dbd35f93e4489ed5e32

Observation 804fb767-8fb1-4803-8d23-0557cc9f3841 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:08:57.528649Z digest=sha256:f35b48d8d43748cf1550f5016e8f48466e591256aac3e1e859e771ca6397de30

Observation 9bae36c8-e521-4021-afa9-02b8f4e9268d · outbound

This paper cites Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation

Reference 25

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source=pdf_text observed=2026-08-15T17:08:57.532678Z digest=sha256:3678e9000e5812ddefc93fe613bcc494d2a6bb07b9ce0b8cae1d037ccc62c66c

Observation d636da0a-aee9-42d3-8d0c-c88c289f5c30 · outbound

This paper cites Karaev, I.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Karaev, I

Reference 26

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source=pdf_text observed=2026-08-15T17:08:57.535723Z digest=sha256:7eb2c8f9674620cffd52c860d2fc13d7bcec3592dfea80b46cd757ca99266fdb

Observation ee5414a8-f135-4f47-8652-94b3ae674879 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-15T17:08:57.539189Z digest=sha256:1c26c2fbe86154d1640dd5a684ba565c9288f2a13094e969ecc8892bdc8f7467

Observation 7503bc92-b85d-4144-ac1c-8c6b6e2b9001 · outbound

This paper cites OpenAI o3: Introducing a new generation of reasoning models.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations OpenAI o3: Introducing a new generation of reasoning models

Reference 28

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source=pdf_text observed=2026-08-15T17:08:57.542133Z digest=sha256:e2d49bceff55e4fdfb50a9321013998384075d8fe2e153d9fbb5e11ce9468d5c

Observation 4c36bec5-3916-48cf-8303-b08ab89d0f80 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-15T17:08:57.546051Z digest=sha256:384447103fb69d18f4f1662d182c14a9c57a668711fe0938d86c735efef5fdfb

Observation cbb40df7-b85c-4dcc-a8cd-5cdebe724af9 · outbound

This paper cites Mordatch, Z.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Mordatch, Z

Reference 30

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source=pdf_text observed=2026-08-15T17:08:57.548900Z digest=sha256:6db572567b0560638f784b40f111685883597be753c32b89bc3722a35716b2e3

Observation e1113002-f57f-4d39-87e8-a690ffc7b276 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Solving Rubik's Cube with a Robot Hand

Reference 31

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source=pdf_text observed=2026-08-15T17:08:57.553183Z digest=sha256:a4aa45f76203b5be880bb2590de67ea86348a2813728db6858863def43419007

Observation 70b70b36-8be6-4dac-8187-3b6cbe387aab · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-15T17:08:57.556338Z digest=sha256:ff90e0c8b6e481c5a6129d754ebf2812fe997a4e376581c462be8db1bec5fd0c

Observation 7723f2d0-89e9-40c7-b559-e370513f0fa7 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-15T17:08:57.559396Z digest=sha256:37dca8494d6c70150d7051efd544260df022590bc65150ff15d620571300c3f4

Observation 40413de4-7b08-48fe-8d33-142687a37a7a · outbound

This paper cites Han and J.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Han and J

Reference 34

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source=pdf_text observed=2026-08-15T17:08:57.564325Z digest=sha256:b4b617a5cf3b4853c39b300b722da57c363cf985087ad9330e31306e8abb0643

Observation 6cbd8a5d-c490-444b-97cb-abfa5d38efcc · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-15T17:08:57.567563Z digest=sha256:050e58a559323bcb16b67da043800520de50ee18032b40206b2f297a18ddf2f7

Observation d26cfc86-ad26-4023-93f6-05de06528af4 · outbound

This paper cites Bai and C.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Bai and C

Reference 36

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source=pdf_text observed=2026-08-15T17:08:57.570992Z digest=sha256:d7767a5ece96c64b11bdd307e447b9b05e4079e09b0861ee6119a719c91cbf10

Observation 1b7c8ed4-1590-4b8d-b511-b0167d0a09b3 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-15T17:08:57.574231Z digest=sha256:9aa1ac419229ac81ebbb9f630570bceaf35f03876b281dd60df2011890fe9866

Observation d23695ab-ec51-499e-ae30-57c0536af0a8 · outbound

This paper cites Handa, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Handa, A

Reference 38

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source=pdf_text observed=2026-08-15T17:08:57.577388Z digest=sha256:a219967cf1d350d8237059bbe9ac66cdac3c5c0a545e072adfd10e4585ae6085

Observation 293c4b76-e4bd-42f3-9cd2-138f4ee4386d · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-15T17:08:57.581404Z digest=sha256:943efab4bd124ebafb640420658ce2740198877713965144171fce5392400d7e

Observation 47b62ed3-aacd-4161-bb60-1051f3c31f2b · outbound

This paper cites Bimanual Dexterity for Complex Tasks.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Bimanual Dexterity for Complex Tasks

Reference 40

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source=pdf_text observed=2026-08-15T17:08:57.584309Z digest=sha256:a6c34a5e15d311386854578ebfddbd811e74dbf7c5ffccfdd3c28e55b90d2df4

Observation 4cb6ca96-3a71-4942-806e-4ad13958ba62 · outbound

This paper cites Twisting Lids Off with Two Hands.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Twisting Lids Off with Two Hands

Reference 41

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source=pdf_text observed=2026-08-15T17:08:57.588399Z digest=sha256:6d854b901baedda74f2a4c6f887bdae81443738e6fcccd494603c976ba0e6c08

Observation bc6f25bf-f5df-4c58-8e99-388c19971fa7 · outbound

This paper cites Object-Centric Dexterous Manipulation from Human Motion Data.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Object-Centric Dexterous Manipulation from Human Motion Data

Reference 42

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source=pdf_text observed=2026-08-15T17:08:57.591832Z digest=sha256:fbfd47c35aa4cf5f96a41480e5b28cf8cafc9d4f2cc6e266565abcc5c57ae1aa

Observation d25631c1-1dae-4e40-9244-cb19d57f33a9 · outbound

This paper cites DexterityGen: Foundation Controller for Unprecedented Dexterity.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DexterityGen: Foundation Controller for Unprecedented Dexterity

Reference 43

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source=pdf_text observed=2026-08-15T17:08:57.595470Z digest=sha256:9ef77b331c7f91955a7aa957815b9e3cd9c6ff6cafc5f7a6b1242998048de4ac

Observation abf7b7a4-ab31-47dc-af48-27813c427723 · outbound

This paper cites Bousmalis, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Bousmalis, A

Reference 44

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source=pdf_text observed=2026-08-15T17:08:57.598982Z digest=sha256:76bba36579903d45e895c9b67fa2239f14493512424bcea3d2372728887e0413

Observation ba344c2f-b51e-4bd8-a885-2da557bf49ef · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 45

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source=pdf_text observed=2026-08-15T17:08:57.603730Z digest=sha256:9174b58603e0ea12554520aed80c6764af8b8da6e0a482891edf31e527c2a939

Observation 04ccdd6c-2d4d-436c-947f-53b3e5e5b854 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-15T17:08:57.607237Z digest=sha256:07b3d743e86a9d6f28088bdf3a32822bf8742aed8544b4b964b382bce490d10b

Observation 2f5d4d59-1e74-4401-b024-4b70be72d073 · outbound

This paper cites PoCo: Policy Composition from and for Heterogeneous Robot Learning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations PoCo: Policy Composition from and for Heterogeneous Robot Learning

Reference 47

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source=pdf_text observed=2026-08-15T17:08:57.610637Z digest=sha256:38756b55440c7c1d8056d47eb3945b410331cad24e5bdabccc599b6a72ec8bc4

Observation 5503d58a-334f-4bc7-bcbe-028b287bd833 · outbound

This paper cites From Imitation to Refinement -- Residual RL for Precise Assembly.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations From Imitation to Refinement -- Residual RL for Precise Assembly

Reference 48

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source=pdf_text observed=2026-08-15T17:08:57.614383Z digest=sha256:84233bbc8836f36cb98d2a401bdc00d6bcf131a2902836f20f433f47b1d26472

Observation 46789b98-58c6-4b08-844e-251cbf232d7a · outbound

This paper cites Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

Reference 49

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source=pdf_text observed=2026-08-15T17:08:57.617889Z digest=sha256:141264778176685d4cf3ed2e22497703d904b041266313031c6373671e11cde1

Observation a6792ba9-aaba-4429-bfec-65b45ab27122 · outbound

This paper cites Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels

Reference 50

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source=pdf_text observed=2026-08-15T17:08:57.621244Z digest=sha256:88fece241173eaac8f4c803a52a1e08a2e77a0e592edca150ff2d86c33c16161

Observation bf476f4e-6d28-4342-bb41-5e38e0ee0503 · outbound

This paper cites RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning

Reference 51

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source=pdf_text observed=2026-08-15T17:08:57.625986Z digest=sha256:d12fe70a2758b28905dbfcf81c58fb827d763ff1598486a689bfb219f166c60b

Observation fb2cce51-ad16-46f9-a8b5-41a96e1a54d9 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-15T17:08:57.630612Z digest=sha256:a068932ad4abce445f79763d8a40219389ed1e95d7462ac84275746cfe2d0934

Observation d7909c00-4b15-4fc4-a815-caa1562629bd · outbound

This paper cites Henry, M.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Henry, M

Reference 53

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source=pdf_text observed=2026-08-15T17:08:57.634487Z digest=sha256:237c5e7bae00fbb9dcadc6ba6d3daaa1a6bff24d997d6d1565f43d9ca4803f65

Observation 46d0a34c-61e0-45cd-a48d-24514180b712 · outbound

This paper cites Tancik, E.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Tancik, E

Reference 54

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source=pdf_text observed=2026-08-15T17:08:57.637498Z digest=sha256:59bb28f436a0a1e175db1613f74c31586a3d1ac0269ae289691b9416ccd08580

Observation 9673b18b-3d67-4c67-9057-fc245afa6931 · outbound

This paper cites Jiang, C.-C.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Jiang, C.-C

Reference 55

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source=pdf_text observed=2026-08-15T17:08:57.640213Z digest=sha256:e978693f73df4eef9c789a0da7b313930e9fec1a1166ff469dd3e9d8dc0286f6

Observation b3d6fe18-737f-4b14-8f64-d9ea8e18bbcb · outbound

This paper cites Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation

Reference 56

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source=pdf_text observed=2026-08-15T17:08:57.643550Z digest=sha256:7a7e579bdaf9ecd49fe4dd4a28066d9a5a4b5e0319b3b86a2bb12137376de00b

Observation c3c5e1ac-4cea-463c-9048-66c6a0fc8538 · outbound

This paper cites A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards

Reference 57

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source=pdf_text observed=2026-08-15T17:08:57.647170Z digest=sha256:76f8c9fae03c8b71141117820b8a72e2eaa06d0070a0488a866740a8862205b0

Observation 86bf686e-6a6d-49d9-9ee8-9673ac70d71c · outbound

This paper cites Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos

Reference 58

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source=pdf_text observed=2026-08-15T17:08:57.650549Z digest=sha256:bb7fce1861b73e6dd807122b3246d6fda335760b4f99feb8162a5f2e6eb2d955

Observation d34d1f5e-3908-4f24-9736-26e3ee01c8bd · outbound

This paper cites DRAWER: Digital Reconstruction and Articulation With Environment Realism.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DRAWER: Digital Reconstruction and Articulation With Environment Realism

Reference 59

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source=pdf_text observed=2026-08-15T17:08:57.654080Z digest=sha256:997c64dd447e58bb7527730d36befb1e8f90fc9703b5b29de2d04a4eaf1f5893

Observation a4c427fa-3576-40c6-8a71-8547a89f0896 · outbound

This paper cites URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images

Reference 60

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source=pdf_text observed=2026-08-15T17:08:57.657278Z digest=sha256:b14ab272b6e4453a7b1a724943518d0f48ff039edb47c1abbda1d91e46607ac0

Observation ff857973-0c11-4ce4-a49e-5ebded2ccea3 · outbound

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

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Reference 61

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source=pdf_text observed=2026-08-15T17:08:57.661354Z digest=sha256:1401f97d7050c8810ad414072016b8a7e67816bbb8cd81c66563f5c6ccfb9fff

Observation 06abae4e-d5ba-4b72-abab-4faa1c090bc5 · outbound

This paper cites Automated Creation of Digital Cousins for Robust Policy Learning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Automated Creation of Digital Cousins for Robust Policy Learning

Reference 62

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source=pdf_text observed=2026-08-15T17:08:57.664808Z digest=sha256:7da25b1aa7313bc2163587089f83465b528c91a22966f6ab05fbf00a838949ce

Observation 2188c861-5fdb-4d7d-9e0b-9ac4c5366b24 · outbound

This paper cites Real2Code: Reconstruct Articulated Objects via Code Generation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Real2Code: Reconstruct Articulated Objects via Code Generation

Reference 63

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source=pdf_text observed=2026-08-15T17:08:57.668525Z digest=sha256:4c7fb0f3c5ee08dda7ee71034e9c84ce6f15e08eaea133f1daaf9d16a0f4808f

Observation 130dd748-057b-43f4-959c-f713c648a431 · outbound

This paper cites Tobin, R.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Tobin, R

Reference 64

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source=pdf_text observed=2026-08-15T17:08:57.671948Z digest=sha256:c5f4936ddcc6262857481200ec903e949ae5bb344f81f5c8bb7bc011e504f709

Observation 16bd21e2-f19d-40aa-af65-cb13cc6333eb · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-15T17:08:57.674873Z digest=sha256:ea49c7a50e8ad9bdddbfe219b1a8bd60441a7acc109ec4d040f0057edacf42e9

Observation e53b394d-694d-43e2-9a3a-4c97ea81e298 · outbound

This paper cites Chebotar, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Chebotar, A

Reference 66

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source=pdf_text observed=2026-08-15T17:08:57.678133Z digest=sha256:02c24fb8e59898340f0e4a986aeed5cdab20f691630b07331d582d74ff528a69

Observation 07d11af2-3abb-40ec-bca0-e1115f498e60 · outbound

This paper cites Mehta, M.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Mehta, M

Reference 67

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source=pdf_text observed=2026-08-15T17:08:57.681683Z digest=sha256:83c90a6dde2dc3cd77c2885e4a2f7037c9678f7578e5bce62cef7bd5d4497ff4

Observation ae5f2c2a-d7b4-44bc-9f15-a0c06af73b4b · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations RMA: Rapid Motor Adaptation for Legged Robots

Reference 68

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source=pdf_text observed=2026-08-15T17:08:57.685019Z digest=sha256:407adce74e1c27536d8a2d514ab178262bc5d9f7185aa5cb05f39d692b869141

Observation eceb9260-a17a-46f7-ab77-cb272aeb63ee · outbound

This paper cites Evans, A.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Evans, A

Reference 69

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source=pdf_text observed=2026-08-15T17:08:57.689781Z digest=sha256:f86076a2f7898db2a4ddef952b206fe3a23fcf0ab3468143eccf3c2633ceefe9

Observation bba80f74-874e-4ee6-b1b9-3709fb1d1628 · outbound

This paper cites Muratore, T.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Muratore, T

Reference 70

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source=pdf_text observed=2026-08-15T17:08:57.693105Z digest=sha256:4b645f9c8028ab0b0344b4b63d7df57bbda671fa23b07d24360e2081647e3e3a

Observation 613914b7-785b-48a0-84f9-2b473e912bd4 · outbound

This paper cites Huang, X.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Huang, X

Reference 71

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source=pdf_text observed=2026-08-15T17:08:57.695989Z digest=sha256:80b640f7ebb3d2d202d28e4d7e43fe4860b47b7dc134bd0ef3808fe73945cb9e

Observation 37f7a71e-f465-4a26-8592-276abc78322b · outbound

This paper cites AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer

Reference 72

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source=pdf_text observed=2026-08-15T17:08:57.699373Z digest=sha256:90957d31ea8f03251357c34d6e5c7c9cc6190a93461f575ca2aa0ffcaea5c2aa

Observation 285eabac-7c61-40e8-954e-64dcbcb905e6 · outbound

This paper cites ASID: Active Exploration for System Identification in Robotic Manipulation.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations ASID: Active Exploration for System Identification in Robotic Manipulation

Reference 73

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source=pdf_text observed=2026-08-15T17:08:57.703277Z digest=sha256:e11ea5d4195c1ad3ae4ad9091613579ad28c2627e5d625b6821d4127a09647e7

Observation a43f5f69-efd0-4b2c-b94b-f919e34540af · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-15T17:08:57.707034Z digest=sha256:6dc7e1878eaac9f6de887c27849960ad76d445c677ed5b8c7de2875a22ded662

Observation b51bb536-43cf-43ad-a8b6-28b25f1cb6b0 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-15T17:08:57.710857Z digest=sha256:485718f7172d816ac81955dc7ce47d0242a79371e8c0dcac8c7f298624fb8f97

Observation bd23b849-db10-4af7-b7bc-1214176543e6 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-15T17:08:57.713828Z digest=sha256:1371dc803578d99e0abc2a080c2e3e8eb0bb17d1fd635364ec7cff4d9fe5a274

Observation 73cf97d4-abdb-488c-a348-b3b74b7ca9e1 · outbound

This paper cites Konidaris.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Konidaris

Reference 77

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source=pdf_text observed=2026-08-15T17:08:57.716706Z digest=sha256:36508238eb2931f3e2e0e34ca471ec6ac04346ade7dc8de518782f0e18851a9c

Observation 960adaf1-8070-4b69-b55f-2e0ce3718484 · outbound

This paper cites Lee, S.-H.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Lee, S.-H

Reference 78

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source=pdf_text observed=2026-08-15T17:08:57.720036Z digest=sha256:296e30aafec755526373d693a010ac5e1db4f8b290d1ce07395d83d835242cd5

Observation d98532bd-4903-450a-84f7-07169be48acc · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 79

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source=pdf_text observed=2026-08-15T17:08:57.723581Z digest=sha256:177df9e83b98c7aa59e7ef69ca34ad609d928616a98cb1dbd3ffbfc5fcc2e238

Observation 8f0c47ce-dca7-462a-ac64-ae61ca1c3ea2 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 80

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source=pdf_text observed=2026-08-15T17:08:57.726654Z digest=sha256:d9b567640d3adf9b1b3fb454fad72f8e2e3240afd80f7795682bb1ce09c83fa0

Observation 71685d20-69df-4a8f-92f0-d117bcbf0f57 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-15T17:08:57.729723Z digest=sha256:8674c40276f08fe97a2c4c04261fe54a6f8806c9bbb4b5ab71864dfecfb00af6

Observation 3cb05bb9-a821-480e-b37c-a2ad2b1d2a3a · outbound

This paper cites Learning Neuro-Symbolic Skills for Bilevel Planning.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Learning Neuro-Symbolic Skills for Bilevel Planning

Reference 82

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source=pdf_text observed=2026-08-15T17:08:57.732865Z digest=sha256:777d2e49f509ef87275fe20e6ccea4ae8bebff9dc2810571e89afdd9b5bbcce3

Observation 36fe065c-f9bd-4031-8f37-9a58ebbc6d37 · outbound

This paper cites Nasiriany, H.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Nasiriany, H

Reference 83

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source=pdf_text observed=2026-08-15T17:08:57.737867Z digest=sha256:7af71c86fc16e27be72f42061ec37199aad76cbd4d30b482d84b80b29a93b35a

Observation 04d75e2d-3e1e-41ff-8e41-5401e73066a5 · outbound

This paper cites Cheng and D.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Cheng and D

Reference 84

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source=pdf_text observed=2026-08-15T17:08:57.741265Z digest=sha256:d5e45fe0a5237105a2f0256da32a34e48851e6ab0f4f997b1d9a33b5ae857a9a

Observation 15cb95a2-4e94-4949-af0c-14d9502ebbb3 · outbound

This paper cites SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

Reference 85

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source=pdf_text observed=2026-08-15T17:08:57.744115Z digest=sha256:e47272037c8bc41a6c070508b08d8eaa8dfdfcfa2b2c669fbcd7a00e6c68383f

Observation 6b985bb4-5ed8-4c10-b6cb-2c61d2078c0a · outbound

This paper cites Pastor, H.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Pastor, H

Reference 86

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source=pdf_text observed=2026-08-15T17:08:57.747305Z digest=sha256:441214a9503762fafb6b2b146af9266d43e78028093f4169906557ee832ce7f7

Observation c509e543-8530-455a-9bf2-f5b559a371ec · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-15T17:08:57.751402Z digest=sha256:8b97e587bd425c0e6b1c460255c9e8e4b4e1e3906657c8f8db8b3690bdede444

Observation 474f47ef-3626-49fd-81dd-8989c165a635 · outbound

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LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-15T17:08:57.754954Z digest=sha256:64682bc4bc6e79a76abaccc39aaef7f2c6124d451a187721c41ca3f693f52dc6

Observation c8b653c5-3797-42b9-b1df-94d8d3beefee · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-15T17:08:57.758752Z digest=sha256:1d63470dac0a61532d9c91c51d7902676a7ebcdd9fac1967e64bf3592a42fa77

Observation fb053377-81a8-4a2a-bb4d-3d2a34d85737 · outbound

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LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-15T17:08:57.762046Z digest=sha256:e26b6d16e54cd08f41836404c4cb76a735797de787a885e34e6b5d1a9be792f9

Observation e8318af7-c7ad-40f3-8292-1b6d3dfb5f05 · outbound

This paper cites DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics

Reference 91

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source=pdf_text observed=2026-08-15T17:08:57.764688Z digest=sha256:bad51df73832bd1886e9496b50018b01daeef1fb3112586a32d0a83b52ecf02f

Observation 833a16e5-68de-4d77-aebc-a54be53cd6a5 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-15T17:08:57.767916Z digest=sha256:b38669485b68359ecc8fa20708ad673887dff4f7f62a837ed3e5e214338bb788

Observation 50fa3c9b-1b33-4043-bfb9-87adafba1fce · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-15T17:08:57.771628Z digest=sha256:b8bbaa1c5a2ee2215901b5656428f6941bf5594c34afc3a31c64327991459e65

Observation ab647d79-9f06-4026-9b1c-579382e48674 · outbound

This paper cites SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Reference 94

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source=pdf_text observed=2026-08-15T17:08:57.775712Z digest=sha256:ea24c5dfad132285067542acf8ec351af821e150ae61d43d0b5a65bd3d4ecfe5

Observation a11b34be-4bc8-4903-b85d-a20dc80c6a6b · outbound

This paper cites Schmidhuber.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Schmidhuber

Reference 95

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source=pdf_text observed=2026-08-15T17:08:57.779182Z digest=sha256:d55c042378257c72ec4018738359c668c1f6b96902bd13cf4d2e0e64a4c48d2c

Observation 889a39f0-83a3-4ad3-b34e-4ef2858bd9a7 · outbound

This paper cites an unresolved cited work.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-15T17:08:57.782934Z digest=sha256:992c88175cc11958a0d7fc6c8ded5d7f973cebf239eb6e9a50861c1283d4337c

Observation 7971184d-4f88-49e9-86f1-346952d832aa · outbound

This paper cites Bacon, J.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Bacon, J

Reference 97

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source=pdf_text observed=2026-08-15T17:08:57.786092Z digest=sha256:27047747eb27f39ce27c7218337729ec1dc5fad47b60f7f08915475481a55a67

Observation d121350b-93d9-43a7-b7bd-1872a3d19eea · outbound

This paper cites Nachum, S.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Nachum, S

Reference 98

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source=pdf_text observed=2026-08-15T17:08:57.789027Z digest=sha256:3c19067e626f696f53343a181db68b2b11414f71a39fccb683373eb39450a811

Observation 9446384d-5779-4946-b7aa-3247ecb1d374 · outbound

This paper cites Diversity is All You Need: Learning Skills without a Reward Function.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Diversity is All You Need: Learning Skills without a Reward Function

Reference 99

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source=pdf_text observed=2026-08-15T17:08:57.792398Z digest=sha256:106fb3f9521782156fbfc6ae7a9184da5657cb4998fa375ab7831d7b9a4717ed

Observation f45cba28-a10d-4dfb-b012-4703fbd9db62 · outbound

This paper cites Hausman, J.

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations Hausman, J

Reference 100

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source=pdf_text observed=2026-08-15T17:08:57.796812Z digest=sha256:88493c5bb85ea17c0a6394d7af78879c00c0caa3bc1410e5247bb8470d5139de

Pith citing papers

Observation 4c6ac81d-0905-41b3-a1ec-8f2a1f122c4e · inbound

Scaling Cross-Embodiment World Models for Dexterous Manipulation cites this paper.

Scaling Cross-Embodiment World Models for Dexterous Manipulation LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations

Reference 39

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source=pdf_text observed=2026-08-04T00:28:27.129668Z digest=sha256:256fb274c942acb39e05c1a27eff806efa0b329818f59edaa2319b38b085247a

Observation ecf385e4-d523-4e6c-b33a-070541065b46 · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations

Reference 27

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arxiv_id, observed 2026-07-03T11:38:05.186859Z

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source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:dd215173bdaab916b3369e1b172ffc1cdfb70806ed5b623d487203a3f93cd537