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Paper Citation Record · LEDGER

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding

As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2507.18276.

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

pith.paper-citation-record.v1
2507.18276 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:19:49.163104Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:27:16.597847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5010e6c3-b199-410b-af94-83f782133f9f · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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source=pdf_text observed=2026-08-15T18:19:48.779818Z digest=sha256:a9b53fab5d5a7ad16041f1d71d601d3c2a73e48b29245f9b4c7986359777ea89

Observation 78f7332f-0bd6-4ca6-883d-3ab2168ce985 · outbound

This paper cites Learning reward func- tions for robotic manipulation by observing humans.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Learning reward func- tions for robotic manipulation by observing humans

Reference 2

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raw_fallback, observed 2026-08-15T18:19:50.145135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e029cb6b-ba78-4ff2-b916-5699c0d94097 · outbound

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

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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source=pdf_text observed=2026-08-15T18:19:48.793873Z digest=sha256:35da9e9ee9c1f7c9ad0a58ba1cc0933a5c4d8afaae10df8ca355402282956c00

Observation 18cb8392-75b6-4d9e-9d8c-158a46574f6e · outbound

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

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

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source=pdf_text observed=2026-08-15T18:19:48.803695Z digest=sha256:7abef62c8b7e19e3dd6558e0d549fd69106122487601b5ae06ce14bf8e58afd9

Observation 564d2472-64aa-4c72-86e7-aeedd6a18576 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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source=pdf_text observed=2026-08-15T18:19:48.814752Z digest=sha256:1bcc31913e6f0256dc493754ae21c6ecede697f51c1b1b3881fc071bc4c8118d

Observation a9afd778-4c21-479a-a4c1-154ddd9c0d67 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 6

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source=pdf_text observed=2026-08-15T18:19:48.823262Z digest=sha256:bf4f95d61d6eb44dc7f1e84c4fa19a293f7765d0cbfc97ddf130afbaaa41cbca

Observation bc6699ec-cb55-46d7-849d-36813983e801 · outbound

This paper cites Can foundation models perform zero-shot task specification for robot manipulation? In Learning for dynamics and control conference , pages 893–.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Can foundation models perform zero-shot task specification for robot manipulation? In Learning for dynamics and control conference , pages 893–

Reference 7

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raw_fallback, observed 2026-08-15T18:19:50.126224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.831934Z digest=sha256:bbfc77019603b6ef096f38147b3796b604c80fe35f4a66fe506b79febd5a2dfa

Observation 6704f1b9-9e20-468b-b8f3-aa0096eb9578 · outbound

This paper cites Anti-Classification Results for Rigidity Conditions in Abelian and Nilpotent Groups.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Anti-Classification Results for Rigidity Conditions in Abelian and Nilpotent Groups

Reference 8

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local_arxiv, observed 2026-08-15T18:19:49.571994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.839276Z digest=sha256:a9bdf4d294081cbdb7eaf7142200bcd21bd5de15fce390498191a2d31d830a5b

Observation 453adfa4-f6ad-441c-8ae9-01d23f01ca53 · outbound

This paper cites FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects

Reference 9

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source=pdf_text observed=2026-08-15T18:19:48.846913Z digest=sha256:733a75f6f928481a5e8ac9ad17621d63940eb8b8c86d49c4b1c245b782f222d0

Observation d86e3990-41d1-4ca4-bf25-0895980482fd · outbound

This paper cites Graspnet-1billion: A large-scale benchmark for general ob- ject grasping.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Graspnet-1billion: A large-scale benchmark for general ob- ject grasping

Reference 10

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raw_fallback, observed 2026-08-15T18:19:50.105623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.856455Z digest=sha256:20c4e7b3e40d17853a03a85936c71cfb4181a80309d05d58c5630fee8a455632

Observation 7e114b3b-2043-4312-a1a9-d7fc2093b26b · outbound

This paper cites RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot

Reference 11

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source=pdf_text observed=2026-08-15T18:19:48.862473Z digest=sha256:2a5bf819020b260568b33f818fe9c5bbd3cc2988842fe73db6e76a105e11e85c

Observation 337302c9-9408-4263-86e8-7775a041a306 · outbound

This paper cites Partmanip: Learning cross-category generalizable part manipulation policy from point cloud ob- servations.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Partmanip: Learning cross-category generalizable part manipulation policy from point cloud ob- servations

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.868747Z digest=sha256:9f12d2f9ddb5a3c0cc9d5b3e917cafabf25afba63adea2c95115ff5be3990ba5

Observation f88e2c6d-3ea9-49ac-8a37-0edfd40177f0 · outbound

This paper cites Sage: Bridging semantic and actionable parts for generalizable articulated-object manipu- lation under language instructions, 2023.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Sage: Bridging semantic and actionable parts for generalizable articulated-object manipu- lation under language instructions, 2023

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.883086Z digest=sha256:a4dbbbe7a569a35a768763bd1e8deee8371d63773ed03e8df8f28dc86489549b

Observation 6929c57d-8a39-4f96-a0fb-9592db34850e · outbound

This paper cites Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.894121Z digest=sha256:45b99c7b641c0317c1b1586d05780befa003cc33d66c1b0326092b069b66287a

Observation 5d2728d0-92b2-4a5e-a208-93bd99504294 · outbound

This paper cites End-to-end affordance learn- ing for robotic manipulation.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding End-to-end affordance learn- ing for robotic manipulation

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T18:19:50.035877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.900816Z digest=sha256:448e18ebf8bd6a37554dc68d922c6d820e7de46562b19bb3133a76a490802bac

Observation e675ae2c-f487-4025-8fe4-5e22162aea80 · outbound

This paper cites Arnold: A benchmark for language-grounded task learning with con- tinuous states in realistic 3d scenes.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Arnold: A benchmark for language-grounded task learning with con- tinuous states in realistic 3d scenes

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.908678Z digest=sha256:2e0b549407b422cbf8dd24fe9aff12a74de22dcd4a04b9361c3b3971d7360436

Observation 02c20d61-6306-4b0b-8082-62a351df9ae5 · outbound

This paper cites Copa: General robotic manipulation through spa- tial constraints of parts with foundation models.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Copa: General robotic manipulation through spa- tial constraints of parts with foundation models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.916105Z digest=sha256:15b71ae42e923a2bcbe4a5c32b73475b3f8f0f05428d226116d76fe119017a12

Observation 359fa392-d1f2-4d41-acd8-ca01f99f27b3 · outbound

This paper cites Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Language models as zero-shot planners: Extract- ing actionable knowledge for embodied agents

Reference 18

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source=pdf_text observed=2026-08-15T18:19:48.922630Z digest=sha256:2ec6a839aed32274ac5afbd7f17d15c38444c68aed298db6f0fafcb1f843b501

Observation ff0c7dfe-59e6-41d4-857b-21c79599ab2c · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 19

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source=pdf_text observed=2026-08-15T18:19:48.927623Z digest=sha256:c2b9797cccefe82a9870730d3183c3be7d24f23e6d5796c84ed5a7f09148509d

Observation aa002418-3b83-4e0e-b41a-4b6ef783cb26 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 20

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source=pdf_text observed=2026-08-15T18:19:48.933003Z digest=sha256:bc225cb659be1ff4560fd11efeeb3ad1945e73bfeeb64c0ce52c8b8cc8e8a439

Observation a9782e9e-d6f8-4af1-9f57-a9a0013042c3 · outbound

This paper cites GPT-4o System Card.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding GPT-4o System Card

Reference 21

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source=pdf_text observed=2026-08-15T18:19:48.940694Z digest=sha256:159a0df1fb581db73b4295ea031353e38584fa9675d62e16afba295eb7088c98

Observation 11f59638-4801-4dbc-a13d-db9b458a11fa · outbound

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

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding OpenVLA: An Open-Source Vision-Language-Action Model

Reference 22

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source=pdf_text observed=2026-08-15T18:19:48.947062Z digest=sha256:5f7541eb567b91d46dc398e0230781692cfdc0080f2667492f9e08e04ff41dfd

Observation 069b9673-c8bf-465c-a95e-3305ab9c56d7 · outbound

This paper cites Segment any- thing.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Segment any- thing

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.954883Z digest=sha256:8ec2f3888c6880e0d893b21cc24fa61929e56e545acdec2e03f9580048d1bc58

Observation fb02a409-3fcd-43d6-b285-dc2ac986bda0 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 24

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source=pdf_text observed=2026-08-15T18:19:48.960507Z digest=sha256:c8dd7e3edd447a3ebc1cfdedca509a6917e2fe114dc98c8f278558d72637f34b

Observation 4e2ceaf2-de00-45c4-980a-44a1b89b6438 · outbound

This paper cites FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:48.968476Z digest=sha256:c31d8801000188f0b1f22763ad7727964c9223c6afaf3b72d3d835ee4195f3e1

Observation fe398e23-b626-45d5-a552-dca22e952ce4 · outbound

This paper cites UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:48.974857Z digest=sha256:771cc38c1787e51b7367697a837c34dd2abd6fe663a67a46fed05be762ae570d

Observation e9d117f3-16c4-4f8e-8c8a-db3af8436138 · outbound

This paper cites Code as policies: Language model programs for embodied control.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Code as policies: Language model programs for embodied control

Reference 27

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source=pdf_text observed=2026-08-15T18:19:48.979782Z digest=sha256:83f8b08f9bb776c7eb40cd3dcdab1725d163c22b178608e0589b9573406c8a40

Observation f83da242-60a7-49fe-8f89-c65ef2120126 · outbound

This paper cites Articulated object manipulation with coarse-to-fine affordance for miti- gating the effect of point cloud noise.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Articulated object manipulation with coarse-to-fine affordance for miti- gating the effect of point cloud noise

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.936140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.984915Z digest=sha256:ba37186680555dc7259bfe8e6c702ef96ed8157d075833c980f718d60bfe3baa

Observation 9be4bfb4-67cb-4275-9e14-1ae428ab8f77 · outbound

This paper cites Robomamba: Efficient vision-language-action model for robotic reasoning and ma- nipulation.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Robomamba: Efficient vision-language-action model for robotic reasoning and ma- nipulation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.908821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.991850Z digest=sha256:0b3068b3a85284f3767b306e6fe5ec2c54977c53e1d23aba8930a964c0434fac

Observation 3b7049a7-cee6-41f7-b8ad-f7c10d830119 · outbound

This paper cites Akb-48: A real-world articulated object knowledge base.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Akb-48: A real-world articulated object knowledge base

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.891538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:48.996833Z digest=sha256:3421cbee576f578461d1432ae3374399232cd9c54dae0ec22525cb11f4740ea4

Observation 0a3b0ab7-7c7e-471b-b1f1-666d8cb36e2c · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 31

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source=pdf_text observed=2026-08-15T18:19:49.004030Z digest=sha256:098d768c31456ae7d0102cb4d043d0fd20bed64901a34ad0f2b40414850ae0b7

Observation 1f20b8a3-2d68-4181-a712-430840060320 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 32

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source=pdf_text observed=2026-08-15T18:19:49.011604Z digest=sha256:3e36b4f7a5108309371e28049d1127fb68a52760df21e225bdd7cd2605dfad0e

Observation 3bbe0297-eee8-466d-8c45-fd349d93edb9 · outbound

This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Reference 33

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source=pdf_text observed=2026-08-15T18:19:49.017723Z digest=sha256:8a916ce5d60a79ba8ab50e128603731c9ec476d49a755834ec38866a374bba11

Observation 1e63b962-5317-442f-b364-afea971898f9 · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 34

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no resolver link, observed 2026-08-15T18:19:49.026003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.026003Z digest=sha256:c38cbe5bbdb80913e0620466dbacf01e37f53276787a4bcdae62c87e8489037b

Observation d546c09e-195c-4e43-ba7a-daec9a148fdb · outbound

This paper cites Zero-shot reward specification via grounded natural lan- guage.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Zero-shot reward specification via grounded natural lan- guage

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.857195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.031881Z digest=sha256:588accdf8c927d9e0bc98fdf83dc7bc03f4c4d67fc63f427e8f0ae385eccac57

Observation b90e67f5-30ee-46cb-847e-33bdc6677661 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.036673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.036673Z digest=sha256:070f02f32a2ec72dcf215d8fcd4086152bc20a29d8ccb95b5f89550587ab6dd4

Observation 28ac30e7-c64e-4acc-8c68-7f39c4063a76 · outbound

This paper cites Chang, Li Yi, Subarna Tripathi, Leonidas J.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Chang, Li Yi, Subarna Tripathi, Leonidas J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.837976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.042274Z digest=sha256:b0eab083a5346f7af17be96e36c0861dcf9c5f2ddad6514b0df9c7db6010a4bd

Observation 33fe1d44-1fb5-4d57-b745-c05368c164ec · outbound

This paper cites Guibas, Mustafa Mukadam, Abhi- nav Gupta, and Shubham Tulsiani.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Guibas, Mustafa Mukadam, Abhi- nav Gupta, and Shubham Tulsiani

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.817538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.049498Z digest=sha256:733f712c540cd45a42a9bd704c6924b53a447763802349be6c61ebdbd9a435c3

Observation 77099c84-273a-4cdb-8b28-7890b3e97a76 · outbound

This paper cites Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Where2explore: Few-shot affordance learning for unseen novel categories of articulated objects

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.800278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.056033Z digest=sha256:9243f2fd88b91f8ed96a9e63990bba7f6778870bf477b7cb7855a24703f17cc9

Observation 6a7e596f-2534-4e01-95ba-a8990b7b864a · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.782002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.061110Z digest=sha256:fa24ed7d87ad2766408408200ff7466d0597488d64af164cea04444dd8760ccc

Observation 2fc4cfb8-8225-40a3-a3db-db8517f3eacc · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.067794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.067794Z digest=sha256:837ab837632dbb63327a74d69594aaf867328096ceb6a70bd570e61b6588274e

Observation 385ef796-3748-49bc-b951-5c89b65feb43 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding SAM 2: Segment Anything in Images and Videos

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.072511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.072511Z digest=sha256:897e43925b7de8a3a1bd2c6ab3004e270bfdc18fceb517dbdafe3a042b8b7a3d

Observation 3375167a-af1f-426a-a218-e7aea9f6aba1 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.078113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.078113Z digest=sha256:ab4d3204b5a2675fd735d6f3115f745e16ada1b2c29699c7eeba0dafe373c2d4

Observation dd32c6d8-e1e5-4ea9-99e3-f82cb8cdacb8 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Progprompt: Generating situated robot task plans using large language models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.085200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.085200Z digest=sha256:fcd2e74c5954855972b38a6707e95732ea16c379c821e4158bf7b471733de6a5

Observation 01b47b14-b295-410e-9000-24b5b571c3ce · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Octo: An Open-Source Generalist Robot Policy

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.091066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.091066Z digest=sha256:abf08c42e594972ade5e79c42597f6f6013ae2d8eabd11085276c463dd8cede7

Observation 7897676f-70f0-4da2-b1b3-746c1e565e1e · outbound

This paper cites DoorGym: A Scalable Door Opening Environment And Baseline Agent.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding DoorGym: A Scalable Door Opening Environment And Baseline Agent

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.096123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.096123Z digest=sha256:8f1b45bdbc3261ba587072a20b60ead02d38ee1a3a407e28e8b77222fecf0a85

Observation 7ef980da-f138-4838-b026-051124436319 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Bridgedata v2: A dataset for robot learning at scale

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.746882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.101369Z digest=sha256:f26bffac4b2671cabd8af6417305925ddc31510ef31c55a525157c440540f112

Observation c31da560-039d-49d0-a900-d9dd7ff53228 · outbound

This paper cites Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.731681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.112669Z digest=sha256:52dd2df56607e6a5d6a0aa30a410b0808dd97b01053a230073a5b832a1354dc2

Observation 098ad717-6de2-488a-ab15-9b4098fa9bd1 · outbound

This paper cites Adamanip: Adaptive articulated object manipulation envi- ronments and policy learning.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Adamanip: Adaptive articulated object manipulation envi- ronments and policy learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.715347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.119684Z digest=sha256:06440e98f64e7e6e2ba3007b7edeb586617e27efaa689face69eae80e937195c

Observation b3b0a6a1-72d5-4a58-81de-2202b6782a8b · outbound

This paper cites V AT-mart: Learning visual action trajectory proposals for manipulating 3d ARTiculated ob- jects.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding V AT-mart: Learning visual action trajectory proposals for manipulating 3d ARTiculated ob- jects

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.701189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.128772Z digest=sha256:5888fb2c5f9cf8e7cad4657f008203f7157ec47b58f46d08aced5942bea7f1f8

Observation 30e96324-64d0-4538-b4d6-8f864397de8a · outbound

This paper cites Learning environment-aware affor- dance for 3d articulated object manipulation under occlu- sions.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Learning environment-aware affor- dance for 3d articulated object manipulation under occlu- sions

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.688817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.135051Z digest=sha256:84f38c2e312de039e2795c3abd57a00710a2465d38b4a53e715d4bf7f2763d95

Observation 1b8cb679-8bd4-4e1f-a8b9-02781797c9f8 · outbound

This paper cites Sapien: A simulated part-based interactive environment.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Sapien: A simulated part-based interactive environment

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.673962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T18:19:49.140679Z digest=sha256:89ad1eed64581430b1961c777a5e1ae908c77c15047e90ae49c9559b20924f57

Observation b9c85ee7-9a24-40cb-9f6c-cb5e8bc831aa · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.146778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.146778Z digest=sha256:8938d34129176a4d1cdde595a4cad9ad815d1198ba2176ab692b78f48794fd0e

Observation 26ddfd58-a516-47f2-8788-eead38b9148f · outbound

This paper cites Learning Reward for Robot Skills Using Large Language Models via Self-Alignment.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.153123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.153123Z digest=sha256:0edf052d8ff02eebbea305ff23cc875ec34bb25fa8cb222b22339096e2c6e679

Observation 868d01fe-8a5b-4dc3-8422-772c32d2dc85 · outbound

This paper cites FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection.

Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:49.163104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.163104Z digest=sha256:1cf555e094eca7448d8d70836b7a65246da572cb406861ba76d8457b46026cd3

Pith citing papers

Observation e192e0fa-2a63-4fbb-b0f8-1e84544c2e98 · inbound

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation cites this paper.

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-08T21:49:15.945907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T11:22:38.704101Z digest=sha256:9aabbea64998ad48ddaab2803b9c3aeb48589eb0750326faf1da86ca26bb3a8e

Observation d7a033f9-f9bb-4e39-bf64-4351d2c0246d · inbound

RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation cites this paper.

RelAfford6D: Relational 6D Affordance Graphs for Constraint-Driven Robotic Manipulation Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.354239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T05:12:52.994218Z digest=sha256:bcacb02dd67f5a317f3662368f33cefa84c69a3833325fa7c0646537f17f9e46

Observation b8796252-2af4-4aa9-bf86-d26d2c5de7b2 · inbound

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization cites this paper.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T15:27:16.597847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.597847Z digest=sha256:81dd7a6ca0413563db8183c82b5f8b4cb2fa3ff5cba39aa89937276d2957a0bc