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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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=sha256:6559bd39f2fd376950658dfd25dde1b54fa7973e1637d62719e8a75f09970c56

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.786707Z digest=sha256:0a953343a9f46ef52d708d7eaf22ec758a2f8e15802c054c22230de729e8c7b8

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=sha256:7682529089cc9951edb75d504333b52f419060db0794076655aac53c89e77558

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=sha256:7973711351f448a56cde136fba19aa75f801cdf3888ae280cd1f4ba79fd5cb61

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=sha256:3059c1a1acd3485fa5efacc6ca98fd3a4304047eaa6975e0ba15c03f03ebd780

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=sha256:4543a2b41c9e39f6a29b045a82502697e09eb13179b1e79c266998129add4555

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.831934Z digest=sha256:d52b0114abe38480a8743f132880ee1d43fb5d075d03c010403a4bcce5af834c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.839276Z digest=sha256:e0198a5a02ad726eb55af0869146dbc2f369d3533765f124bc1a97189582ecc7

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:a9bf5a0855c876872d0f6c82488dbfc0db777320ba8e647963c4afbe1bf8f1be

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.856455Z digest=sha256:38c8867717816107ee52a638ef03a834bfabee161df931cb9bee1dbb72b5fbfc

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=sha256:7a2af63750a056f0ce66f78a28ef86cb33aa6c62329a3e8aeb908477e1f370a7

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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raw_fallback, observed 2026-08-15T18:19:50.085635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.868747Z digest=sha256:e21061c38c98addbfa99b7456f3a4bad2644c918db43f881bae533bb0d3f11c3

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

Resolution
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raw_fallback, observed 2026-08-15T18:19:50.067483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.883086Z digest=sha256:23db1bc8501ac0342be8f8d5748590d44775e1843bb536306f8aee47eedca0a0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.894121Z digest=sha256:7a242b15b5ddbb00d02948d9bf1faa5601f144f4af814b258768f9721998c352

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.900816Z digest=sha256:d65fec754d2b0d0e99939a79a98f24909ae8f4d7f787fc1fd0acc9e12b2d6b63

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.908678Z digest=sha256:d07f355e8969ba9379ccc063ffdc27a30da00a60e2cef8721f4b5a2d6a8c6a56

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.916105Z digest=sha256:08816a3844661e016a7e3b9a288b4d78e2f7010042089773ec481b9da7dfe229

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=sha256:4afebb0711b708331ac732d1a72c92a244d906b939e7ddf904d8cb214bb50d93

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=sha256:1a98cfbdfd43729d91b3507371d45867a05a862a4c9016c027d1e97a0306d295

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=sha256:1ffeb12e537bde3800d142eb1664bd0c72ec7d52c656c79f17883d634ff33f88

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=sha256:29739b782dad600e25705a111435f9048b528ef9fb956d35f356a9c41d0d3006

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=sha256:1a9b6058cb11a21b40a64420579c3ba87676641a96debe403a1b2b959bcf019b

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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verified fuzzy
raw_fallback, observed 2026-08-15T18:19:49.964768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.954883Z digest=sha256:50fced88ee76c980e7e86626f539cc502933378e475849848f3aec819e1f1979

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:48.960507Z digest=sha256:2379dcc288c16d295a6ecd58cba728e566bd242e8ecb332a2a637ce3423bcefb

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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source=pdf_text observed=2026-08-15T18:19:48.968476Z digest=sha256:085189688c585024a70e2d0cf7ef40c6102fd3f42ebd849df9bd559139fb8286

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:48.974857Z digest=sha256:6f05718c81e6333f4864389c1b06abcb20f32344125688a65a4f4946d667cc64

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=sha256:7a382c281466a3ef5c410535a8cc3db92ae33dba29d49f2cdca6451923c9c057

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.984915Z digest=sha256:b43ac8ff16cec5e6644f8b1871bb036cdd26ff1e7758ae03157c7699d9cbf152

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.991850Z digest=sha256:7545cc0541d65c7d6d0e9387b57ea2b906a248a60601ba969f515462bc92c9db

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:48.996833Z digest=sha256:aa65194e7901bd98b4659659b14275456dcfb50e23fce17e1e64d9e5cc16eca3

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=sha256:2531e084994bcab89e9f843d2a8be73834c05b5d0c49f1501a1dfafba86ff619

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=sha256:7b0bb9296dabcac6ea508cc5ca009a359bd4a8dd810368f551538031ccbc3096

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=sha256:9a4add8a063df43884973cb08f6fac32c4b3b4a2f5b0500532f25e185f228787

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:49.026003Z digest=sha256:81f3e3e430059072516f0df934964cff32ee12e2f4d6804e003a3c1a8d106d0f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.031881Z digest=sha256:4e4c82a3114b3b0a8d1b32d29cf3e22495192e2761aaf305e843bb145675eb5e

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=sha256:6c370bc6eb7cba1c646e9e4ea88fb1306aaba88b3323b2ed3c2b0037e268c1ce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.042274Z digest=sha256:bb09ea1e27a51f5d2d28b2f98eef863b115b524490f85a6c98d4301f49da5fd5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.049498Z digest=sha256:398a3d972a8b10a1f56494d8d63085fe640bc8f9067f44f029da4911cd7371a7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.056033Z digest=sha256:f4f72c6d8a357d8b09d0b45e3bfae57a6a21691ebf33bec1b06354880619e057

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.061110Z digest=sha256:91ad733ae1189d41ba58d2bdb7b411222fd4a0d6d616b16ed291be805b34cc6a

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=sha256:53efca116ade04fce849bd2f225d7ea67c449c5b7c03e957e915c1315a095072

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=sha256:939a2733ba7035c4bcf267c1587845827d792cbd8ad91b314ebc06e8026e8d89

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=sha256:19bec7174116af62f67bdfd010bdac413da44a91bf0e88dd7e2bcfcfc2b43b81

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=sha256:82749a27da1c4a52370ed4d2e9a0651de9e078cc813e4df26ccfe11e88c9ea2c

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=sha256:20ef9219c41371feb5bb1add52f89855a4668290c66db43f1a28a033fb3d9df1

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:acd73ed1cb006d84730e0167a81b5ce093425b3602d6bf4dff17f466624deb4c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.101369Z digest=sha256:55be82acdad6541e81e60554449e2659a823c239f01d7b09169f464c9c1ad7a4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.112669Z digest=sha256:720b9def18863312a829aba7e15b19d6f36e0e856d8e00b9ea38bb5725963e0b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.119684Z digest=sha256:14e7b472dc4fede3f08ab0fcf6b96d247b14cc056aeee99a59bddf04752cd288

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.128772Z digest=sha256:a66eba99524447a1c59134bed69c2db6228ec4a0a9b3a1a7355eaf437bb2830b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.135051Z digest=sha256:bab44bdc49afbefb5dd48bb98fe657af96a1d74162cb817c0e259d2fad329c70

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T18:19:49.140679Z digest=sha256:c794c08746dc6de6d2762783a3b0a79721ced44ad061a2cd4a876fa034eccd42

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=sha256:1c75d741ff91f450c9df43b7ea1023829471d777fdefa7fede2d8ba30cdf6f1a

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=sha256:2ae60afc3540cd641dd435bdd383d9c9bac17b5ab762f37318d2f9b83e44f8a5

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:e365efd2bb29f8d8fe028e7bd6ae991d0f13ab00afad91fa58e8e56005d9c3a6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T11:22:38.704101Z digest=sha256:38ede35e94f3396ab5025116909ccc448493cd763d304b48241632850a0598d0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T05:12:52.994218Z digest=sha256:6b640f0a6d6e29831f1adde1ce0b4c53c7661aa872fc7ffe692eac2d33648221

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=sha256:6fb51d66641e1fa2d5934d818bde443bdf5b6871b9ee9dadf82677b3d0e4e4db