Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T00:15:35.860068Z
Paper Citation Record · LEDGER
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation
As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.01603.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact1
- verified fuzzy32
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 70c31dac-b1b8-4f72-a5b9-2028385fb754 · outbound
This paper cites Mamba policy: Towards efficient 3d diffusion policy with hybrid selective state models, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Mamba policy: Towards efficient 3d diffusion policy with hybrid selective state models, 2025
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:41.894217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 728d391f-6fc7-4917-9b38-47e06335b512 · outbound
This paper cites an unresolved cited work.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T00:15:41.692772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2bbe91a2-c33d-426a-aa9a-5bbe97e2a953 · outbound
This paper cites 3d affordancenet: A benchmark for visual object affordance understanding.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation 3d affordancenet: A benchmark for visual object affordance understanding
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:41.460829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0cf7602b-adca-4336-b789-a9fcc83faf8c · outbound
This paper cites 3d affordancenet: A benchmark for visual object affordance understanding, 2021.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation 3d affordancenet: A benchmark for visual object affordance understanding, 2021
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:41.248591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a220e77-6c4a-41f9-8af0-e585669c5cf9 · outbound
This paper cites Self-supervised 6d object pose estimation for robot manipulation, 2020.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Self-supervised 6d object pose estimation for robot manipulation, 2020
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:41.111275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91715957-bdf3-407d-8ba7-9beac41c6215 · outbound
This paper cites Deep object-centric representations forgeneralizablerobotlearning.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Deep object-centric representations forgeneralizablerobotlearning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:40.899421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 20652021-7b55-4943-a35c-74137decaa28 · outbound
This paper cites End-to-end affordance learning for robotic manipulation, 2022.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation End-to-end affordance learning for robotic manipulation, 2022
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:40.752382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fae3f4d6-1015-4c6b-9bb9-1e5c7688e9d8 · outbound
This paper cites Act3d: 3d feature field transformers for multi-task robotic manipulation, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Act3d: 3d feature field transformers for multi-task robotic manipulation, 2023
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:33.868706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98caf48-dafe-4a44-84f0-427ef71da012 · outbound
This paper cites Fsag: Enhancing human-to-dexterous-hand finger-specific affordance grounding via diffusion models.arXiv preprint arXiv:2601.08246, 2026.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Fsag: Enhancing human-to-dexterous-hand finger-specific affordance grounding via diffusion models.arXiv preprint arXiv:2601.08246, 2026
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:33.875152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0e78a55-4746-4ee5-acfc-30f9e6e4ee9e · outbound
This paper cites Spot: Se(3) pose trajectory diffusion for object-centric manipulation, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Spot: Se(3) pose trajectory diffusion for object-centric manipulation, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:40.480114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 61f1f50d-7d6f-4cf8-affb-311f568a03de · outbound
This paper cites 3d diffuser actor: Policy diffusion with 3d scene representations, 2024.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation 3d diffuser actor: Policy diffusion with 3d scene representations, 2024
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:33.890646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6698a026-cc01-4c6f-a2ec-13a4ea958845 · outbound
This paper cites Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation, 2024.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Ram: Retrieval-based affordance transfer for generalizable zero-shot robotic manipulation, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:40.295082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b69d053d-274f-4ca3-8989-5c51c51042a0 · outbound
This paper cites Any6d: Model-free 6d pose estimation of novel objects.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Any6d: Model-free 6d pose estimation of novel objects
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:40.135281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f3ca9004-8831-4ab7-aff3-83218ee00468 · outbound
This paper cites Learning precise affordances from egocentric videos for robotic manipulation, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Learning precise affordances from egocentric videos for robotic manipulation, 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.977809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 87ed1c03-264d-4111-bcaf-3850f05a68cf · outbound
This paper cites Information-driven affordance discovery for efficient robotic manipulation, 2024.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Information-driven affordance discovery for efficient robotic manipulation, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.791507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e048b46a-c4b4-4feb-a946-890b4e4b79b4 · outbound
This paper cites Where2act: From pixels to actions for articulated 3d objects, 2021.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Where2act: From pixels to actions for articulated 3d objects, 2021
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.646725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 56b53238-01b1-4b41-aa95-e5a256b28168 · outbound
This paper cites Rt-affordance: Affordances are versatile intermediate representations for robot manipulation, 2024.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Rt-affordance: Affordances are versatile intermediate representations for robot manipulation, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.530567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a6f4dd0-1f22-4414-bdf5-657393e536ad · outbound
This paper cites Language-conditioned affordance-pose detection in 3d point clouds, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Language-conditioned affordance-pose detection in 3d point clouds, 2023
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.424293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e83d557-7d49-43f8-a377-548023f6e028 · outbound
This paper cites Open-vocabularyaffordancedetectionin3dpointclouds.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Open-vocabularyaffordancedetectionin3dpointclouds
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.288370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c1b3ad0-5981-45be-a43f-61af665daa91 · outbound
This paper cites Where2explore: Few-shot affordancelearningforunseennovelcategoriesofarticulatedobjects.Advances in Neural Information Processing Systems, 36:4585–4596, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Where2explore: Few-shot affordancelearningforunseennovelcategoriesofarticulatedobjects.Advances in Neural Information Processing Systems, 36:4585–4596, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.147029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a821ef8c-2151-47de-9908-cec2f2df800b · outbound
This paper cites 3d flow diffusion policy: Visuomotor policy learning via generating flow in 3d space, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation 3d flow diffusion policy: Visuomotor policy learning via generating flow in 3d space, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:39.036197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9572eb4e-587e-481f-afad-8759191da35c · outbound
This paper cites Multilayer perceptron and neural networks.WSEAS transactions on circuits and systems, 8(7):579– 588, 2009.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Multilayer perceptron and neural networks.WSEAS transactions on circuits and systems, 8(7):579– 588, 2009
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.873857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation aa904284-c72c-45a5-951a-284c50683cec · outbound
This paper cites Learning transferable visual models from natural language supervision.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Learning transferable visual models from natural language supervision
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.014872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 443e1ca9-a76f-495c-b74d-8635247b43b5 · outbound
This paper cites Learning from 10 demos: Generalisable and sample-efficient policy learning with oriented affordance frames, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Learning from 10 demos: Generalisable and sample-efficient policy learning with oriented affordance frames, 2025
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.682096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 339575f1-36c2-4ee3-a2a0-91076a8fe239 · outbound
This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.047749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95f7c44b-e572-4964-aea2-b88c970bf5bb · outbound
This paper cites Goal-conditioned imitation learning using score-based diffusion policies, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Goal-conditioned imitation learning using score-based diffusion policies, 2023
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.515954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 46cd3c2b-2d52-4cbd-80eb-3e01cb91bd08 · outbound
This paper cites Dvg-wm: Disentangled video generation enables efficient embodied world model for robotic manipulation, 2026.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Dvg-wm: Disentangled video generation enables efficient embodied world model for robotic manipulation, 2026
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.395543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 80a2027d-e745-40c2-8bc3-ce11042f821b · outbound
This paper cites Dockanywhere: Data-efficientvisuomotorpolicylearningformobilemanipulationvianoveldemonstrationgeneration, 2026.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Dockanywhere: Data-efficientvisuomotorpolicylearningformobilemanipulationvianoveldemonstrationgeneration, 2026
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.236129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e54369e-50d4-49ba-a15d-216cfaaa72fc · outbound
This paper cites Denoising Diffusion Implicit Models.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Denoising Diffusion Implicit Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.101600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7c8ed5e-3d4b-4b43-b803-2c47e85744a4 · outbound
This paper cites Prism-dp: Spatial pose-based observations for diffusion-policies via segmentation, mesh generation, and pose tracking.arXiv preprint arXiv:2504.20359, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Prism-dp: Spatial pose-based observations for diffusion-policies via segmentation, mesh generation, and pose tracking.arXiv preprint arXiv:2504.20359, 2025
Reference 30
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T00:15:36.352534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5c96ddec-00cc-4f87-b586-44448a7cd3e7 · outbound
This paper cites ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.169832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efffa84c-df5f-4f0b-b9d6-1caac1de2c22 · outbound
This paper cites O3afford: One-shot 3d object-to-object affordance grounding for generalizable robotic manipulation, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation O3afford: One-shot 3d object-to-object affordance grounding for generalizable robotic manipulation, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:38.113532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e08b6fd2-542d-4bf7-bbfc-f19be110e941 · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.813943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4ed4e251-4fd4-4e6e-ac20-0012fbb23554 · outbound
This paper cites Gendp: 3d semantic fields for category-level generalizable diffusion policy.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Gendp: 3d semantic fields for category-level generalizable diffusion policy
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.691784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a5026477-ea1c-492c-8053-bf37e0947cbf · outbound
This paper cites You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.537952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4575c81-0abb-4668-b28e-021640f398bc · outbound
This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Foundationpose: Unified 6d pose estimation and tracking of novel objects
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:34.641870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50f81fff-c1d1-457b-afc5-6b52515b217d · outbound
This paper cites Ragnet: Large-scalereasoning-basedaffordance segmentation benchmark towards general grasping.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Ragnet: Large-scalereasoning-basedaffordance segmentation benchmark towards general grasping
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.559957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9aa29129-2dd1-4302-82d0-f6cb0b89e920 · outbound
This paper cites Learning environment-aware affordance for 3d articulated object manipulation under occlusions.Advances in Neural Information Processing Systems, 36:60966–60983, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Learning environment-aware affordance for 3d articulated object manipulation under occlusions.Advances in Neural Information Processing Systems, 36:60966–60983, 2023
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.428977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3c35c09e-ce38-4daf-9b68-19310305ad34 · outbound
This paper cites Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects, 2022.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects, 2022
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.263138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7f51d396-09b3-43f3-8a19-e9b2efb72629 · outbound
This paper cites Afforddp: Generalizable diffusion policy with transferable affordance.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Afforddp: Generalizable diffusion policy with transferable affordance
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.037851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9fc718c-5e68-4188-b317-5834e78993ef · outbound
This paper cites Slotdiffusion: Object-centric generative modeling with diffusion models.Advances in Neural Information Processing Systems, 36:50932–50958, 2023.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Slotdiffusion: Object-centric generative modeling with diffusion models.Advances in Neural Information Processing Systems, 36:50932–50958, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:37.113153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation faa594a7-067e-49a7-8f53-9c4631a35f5f · outbound
This paper cites A0: An affordance-aware hierarchical model for general robotic manipulation, 2026.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation A0: An affordance-aware hierarchical model for general robotic manipulation, 2026
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:36.966248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 352be15e-bccd-406d-8b0c-f4499cfe53b6 · outbound
This paper cites EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.326376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1ad34a8-0e9b-4487-8229-03377f72d9d4 · outbound
This paper cites Seqafford: Sequential 3d affordance reasoning via multimodal large language model, 2025.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Seqafford: Sequential 3d affordance reasoning via multimodal large language model, 2025
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:36.823104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 550e429d-b06c-447b-9220-0d6396d26af1 · outbound
This paper cites General Flow as Foundation Affordance for Scalable Robot Learning.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation General Flow as Foundation Affordance for Scalable Robot Learning
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.493778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35edc447-1314-4248-ad35-b5778dfa787c · outbound
This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.554003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 804c30c0-08f3-4a55-a63b-87add5426c40 · outbound
This paper cites Pocketdp3: Efficient pocket-scale 3d visuomotor policy, 2026.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Pocketdp3: Efficient pocket-scale 3d visuomotor policy, 2026
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T00:15:36.668840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7ea78ae-fba3-4e11-8112-8d196f70fcd8 · outbound
This paper cites AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.753816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c790414a-4c80-4d7d-9af3-5768f0c5bbf4 · outbound
This paper cites Learning Generalizable Manipulation Policies with Object-Centric 3D Representations.
AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:15:35.860068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.