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Paper Citation Record · LEDGER

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 6 inbound Pith citation observations for arXiv:2412.06784.

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

pith.paper-citation-record.v1
2412.06784 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:22:48.901129Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:58.796552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:57:38.561893Z

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e32ac4f-08dc-4c4e-b13f-f4ba5070de5d · outbound

This paper cites Improving image generation with better captions,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Improving image generation with better captions,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ea87c25c-9f16-4795-b1d0-9387714df1e9 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Photorealistic text-to-image diffusion models with deep language understanding,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0a2d1a67-c92d-4391-aeb4-d339602e30d5 · outbound

This paper cites GPT-4 Technical Report.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies GPT-4 Technical Report

Reference 3

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Observation 9f8463d0-7a5b-4df4-a875-cf8d50e4eca4 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 4

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Observation f48b0bbe-8adb-4bc0-975b-ededd0de7ba8 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies LLaMA: Open and Efficient Foundation Language Models

Reference 5

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Observation 4e6374f8-a8b9-4957-90f5-0e80e390d85c · outbound

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

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 41364ab7-6bb7-4bbd-a2bd-804ba82aeec3 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 7

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Observation fcf65717-45a9-414c-ac04-8d9f3a36b532 · outbound

This paper cites On Bringing Robots Home.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies On Bringing Robots Home

Reference 8

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Observation 0f8016ce-b33a-46cd-a9b2-0c7918e363f8 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 9

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source=pdf_text observed=2026-08-11T19:22:48.605082Z digest=sha256:0cee2da2b53ff65c40a5ff0f565860e87e3c497665d4e5f7484073011e87c6f1

Observation 5e737e83-cd8f-4bd5-b0d4-45e25cdd071f · outbound

This paper cites Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments

Reference 10

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Observation e026f899-81ae-4511-979d-c5d12d086d4b · outbound

This paper cites Graph-structured visual imitation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Graph-structured visual imitation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b9a456a-da1a-4acb-9576-5d1239543170 · outbound

This paper cites Viola: Imitation learning for vision-based manipulation with object proposal priors,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Viola: Imitation learning for vision-based manipulation with object proposal priors,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 26a49bcc-6e51-411e-aac7-56b56e474da5 · outbound

This paper cites Learning generalizable manipulation policies with object-centric 3d representations,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Learning generalizable manipulation policies with object-centric 3d representations,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 253498c0-2aef-4b9e-9217-450caf5b670a · outbound

This paper cites Tax-pose: Task-specific cross-pose estimation for robot manipulation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Tax-pose: Task-specific cross-pose estimation for robot manipulation,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation de991bdc-880b-49a1-9514-d95166cddc55 · outbound

This paper cites One-Shot Imitation Learning: A Pose Estimation Perspective.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies One-Shot Imitation Learning: A Pose Estimation Perspective

Reference 15

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Observation 8fa478f5-59fb-4be8-8cf9-bd38f6649afb · outbound

This paper cites Emergent correspondence from image diffusion,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Emergent correspondence from image diffusion,

Reference 16

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0f091ab5-5fe4-4a8b-b759-7cc323cd8f56 · outbound

This paper cites Cotracker: It is better to track together,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Cotracker: It is better to track together,

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.641027Z digest=sha256:9076de00ca76699ec132331dc40b4ac97833388aa645359171af6bb83086eccc

Observation 40e580a2-e0cd-490d-9854-db59e2b37b05 · outbound

This paper cites BAKU: An Efficient Transformer for Multi-Task Policy Learning.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies BAKU: An Efficient Transformer for Multi-Task Policy Learning

Reference 18

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Observation af195104-c7d7-4500-a73c-5e8094234c62 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 19

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Observation 11c4bbcc-ca02-43cd-8fcf-894c2870cc2d · outbound

This paper cites Depth Anything V2.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Depth Anything V2

Reference 20

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source=pdf_text observed=2026-08-11T19:22:48.656518Z digest=sha256:89739662c51fbcfc81a83e83d3cfef2471f5e9dde1b23d93d48eb56f0bb33774

Observation 5961b342-f682-4817-a832-045a2bd2d418 · outbound

This paper cites Imitation learning: A survey of learning methods,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Imitation learning: A survey of learning methods,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c89995a8-cba7-4b9c-baf6-a5339f8b663b · outbound

This paper cites Algorithms for inverse reinforce- ment learning,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Algorithms for inverse reinforce- ment learning,

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7aee2752-66de-4bbf-b649-f2e7367d3fef · outbound

This paper cites Apprenticeship learning via inverse reinforcement learning,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Apprenticeship learning via inverse reinforcement learning,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 25ae6dc8-7c28-46e5-979a-61e22777d45c · outbound

This paper cites Wayex: Waypoint exploration using a single demonstration,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Wayex: Waypoint exploration using a single demonstration,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.677164Z digest=sha256:70e642937437b9121e1e583c2fc4a0371e2f8d15387f2762f46e41a6659a6070

Observation c2564392-d053-43a6-96c0-01f1e9ad29ea · outbound

This paper cites Watch and match: Supercharging imitation with regularized optimal transport,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Watch and match: Supercharging imitation with regularized optimal transport,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.890944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6490d3c5-4347-4791-8686-b979c244e250 · outbound

This paper cites Teach a robot to fish: Versatile imitation from one minute of demonstrations,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Teach a robot to fish: Versatile imitation from one minute of demonstrations,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.687331Z digest=sha256:a9cc6f35abbb80c5947e9d3caafdbda2f7d4eaaac12166122d1449a5d1453c99

Observation 480474f6-df8d-46ee-bc4a-db92ae42ffbd · outbound

This paper cites Generative Adversarial Imitation Learning.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Generative Adversarial Imitation Learning

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.692230Z digest=sha256:d7c269a261c21fe14e2b9ff81c5f18a92790f2d7b2a8aa0caa040f0fbab6f55c

Observation d9c5c5f3-e644-408c-9b48-68d7e4a513a0 · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 28

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Observation 883f75d0-eced-414e-b38d-c975a4a71003 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Alvinn: An autonomous land vehicle in a neural network,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.858998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.702512Z digest=sha256:1f3a3454c6550c3f9323f2b5d6d8b647a746d22724e2dcb6ff4378eb69c2c9e7

Observation 0168bb72-17af-4745-9bf5-033774a2611a · outbound

This paper cites Recent Advances in Imitation Learning from Observation.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Recent Advances in Imitation Learning from Observation

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.706440Z digest=sha256:f3eb45ba5bff6d5c4a38434fee3e0673ef56ed4909fd67f05c8bbba820578fe7

Observation be22229a-4623-4b0a-ad49-7a974d9f3de8 · outbound

This paper cites Learning from demonstration,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Learning from demonstration,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.845024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.711142Z digest=sha256:b1b12a44c3f40ee48edfed052f8e9bac68cf2a63fa6e429c66d22c4f5998dc55

Observation 731ce9a5-9db4-4a8c-b741-474ab8d28010 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.831167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.715034Z digest=sha256:0a47b1481f1f045bebd3b1e0d18ec34bacbb09b7afb85e527f1cb32887d073f1

Observation 90da3790-34f0-453b-b423-643d818085bd · outbound

This paper cites Sequential dexterity: Chaining dexterous policies for long-horizon manip- ulation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Sequential dexterity: Chaining dexterous policies for long-horizon manip- ulation,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.719633Z digest=sha256:e00bdc9d90445afe77ee5efdfb07ab549dec7320cfa884d9f24d3483be75b6e3

Observation e38c240e-b81b-4ca9-b496-832819f1f8cc · outbound

This paper cites Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.724310Z digest=sha256:403651083ed18c3a0c205c6f44710a1619833d4a9ac05c3203975108e29afb75

Observation ab81f859-9387-4028-9054-5ed08795b447 · outbound

This paper cites CLIPort: What and Where Pathways for Robotic Manipulation.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies CLIPort: What and Where Pathways for Robotic Manipulation

Reference 35

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source=pdf_text observed=2026-08-11T19:22:48.729896Z digest=sha256:5660473c870fc3f81c870c073c41fbe7835edaddc7896741b9822ae5c41f0e49

Observation e36966ec-c247-4592-be5b-7de0a336955f · outbound

This paper cites RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

Reference 36

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source=pdf_text observed=2026-08-11T19:22:48.734741Z digest=sha256:ed8ce028b6599373a77e3f98d6324cf835afe2dadd7d6205c8aa1ac8d8d62d81

Observation 8cffb845-23c4-4b53-b0f0-81f5b3e66a33 · outbound

This paper cites Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation

Reference 37

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source=pdf_text observed=2026-08-11T19:22:48.739781Z digest=sha256:20a742afeda99bbaa0aa9a54199cf6b1d5401ae03fccb1a66ce8c0c56f46f90f

Observation f87e2139-614a-42fd-93f0-1c5e9f784710 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.801275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.745290Z digest=sha256:b22a6c09bf659687839127e8ae1b1d37a2a6c5b57e7ba4e9d1429c0736775381

Observation 271488c7-38c5-4662-9ef0-a3472a5ec2f2 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 39

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source=pdf_text observed=2026-08-11T19:22:48.751066Z digest=sha256:ae38565c95d1af0bbdd053bb1afc7add07cdb7a3d0a4d9f5974d0e904e026a01

Observation 988ba187-c70e-4bc6-8e89-ea490c49bc02 · outbound

This paper cites Bc-z: Zero-shot task generalization with robotic imitation learning,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Bc-z: Zero-shot task generalization with robotic imitation learning,

Reference 40

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source=pdf_text observed=2026-08-11T19:22:48.756346Z digest=sha256:9fa8f3c18b56ed69e55d808910583b0c5bbe1feb04d2576367ebda5e3f188d22

Observation 52f8c42e-c416-4728-a651-f251986b717f · outbound

This paper cites Deep Object-Centric Representations for Generalizable Robot Learning.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Deep Object-Centric Representations for Generalizable Robot Learning

Reference 41

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source=pdf_text observed=2026-08-11T19:22:48.761363Z digest=sha256:628c87fcab7d9e1490edeb328d14529e03e78e8950f7b5ebeaf34d4ac4b78b25

Observation 5722e150-ef6f-4016-8e92-fc17fe70c3ee · outbound

This paper cites One-Shot Imitation Learning.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies One-Shot Imitation Learning

Reference 42

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source=pdf_text observed=2026-08-11T19:22:48.767162Z digest=sha256:8edb7ca541cef579cfdd9c042e5f507e1280b06eb561fac55652db21a89dec0a

Observation aec1c60b-534e-4a4a-8121-4fc45ce04637 · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 43

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source=pdf_text observed=2026-08-11T19:22:48.772683Z digest=sha256:0a0a3b5d658553683ec7503a99db1f74bb661d77de8b5950acd067ea2a48a26a

Observation d8e311e1-a97c-4602-890c-5ec4610461ee · outbound

This paper cites Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Reference 44

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no resolver link, observed 2026-08-11T19:22:48.777582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.777582Z digest=sha256:2f44af0a7102636e89e2d24bdd3783170085a3b15304637162b0d1d1bd839afd

Observation af57fb72-84a5-410c-ad38-b0fae5ee8eb8 · outbound

This paper cites 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.757853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.782275Z digest=sha256:ef2e7e4eaf366b4f98d3dc4e9a34c61730016c5ef7ebd3873650e45ec1871bfb

Observation 56647b27-8e4c-4783-bb49-bf4aa825afc2 · outbound

This paper cites Reagent: Point cloud registration using imitation and reinforcement learning,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Reagent: Point cloud registration using imitation and reinforcement learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.740396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.786142Z digest=sha256:ee50183416a2e04b84be35a84e2a9fbfd99f75e628f893cb33422cbed7670085

Observation 965f442b-5d2a-4136-a040-3d95ae37bfe6 · outbound

This paper cites Robo-abc: Affordance generalization beyond categories via semantic correspondence for robot manipulation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Robo-abc: Affordance generalization beyond categories via semantic correspondence for robot manipulation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.726129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.790338Z digest=sha256:25aa8201c0abe32b7af1a4392b81e8ae84921a892a8e374fb31155365d5f3a39

Observation 4ffcff1e-1056-4b79-98dd-db2b021c4a59 · outbound

This paper cites An autonomous land vehicle in a neural network,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies An autonomous land vehicle in a neural network,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.711931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.794834Z digest=sha256:62395dc0ef52270bc7873d95fa15ee1bb4e4659359e2e40e692d79ce68ac5499

Observation 8b057615-69bc-470e-bda5-c2c0277f36c9 · outbound

This paper cites Supervised policy learning for real robots,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Supervised policy learning for real robots,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.697337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.799425Z digest=sha256:c49ca7494c9151275860101e7a64b87bca69063e16c185fcccd3fb24126e9b47

Observation 784aea02-0352-4f48-a0dc-0c3ef417c126 · outbound

This paper cites OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.804102Z digest=sha256:af9d6486be7561216af22ef4f24cdccca3c635dc8b2d2ba0039fa0170b994d80

Observation d5ad7b16-ddef-4940-84b8-61f95482ef93 · outbound

This paper cites From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data

Reference 51

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no resolver link, observed 2026-08-11T19:22:48.809577Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T19:22:48.809577Z digest=sha256:d92dddae326a69abaee9693c279b7164d88a4d22d9b60ea20c75c76d19f7e9f3

Observation b70158bb-53eb-438e-8f08-4c4cfb42078d · outbound

This paper cites Behavior Generation with Latent Actions.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Behavior Generation with Latent Actions

Reference 52

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no resolver link, observed 2026-08-11T19:22:48.814237Z

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source=pdf_text observed=2026-08-11T19:22:48.814237Z digest=sha256:5235d31d8d8c7bffd1beb7bba26d9f18f9195c8e6189e545441e45ca31da5efd

Observation 75d03051-7075-45a9-ae60-054ab9ccd68e · outbound

This paper cites Lindeberg, Scale Invariant Feature Transform , 05 2012, vol.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Lindeberg, Scale Invariant Feature Transform , 05 2012, vol

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.682166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.818987Z digest=sha256:1dcafa3b136f1262f90452c92d769146af4955a1eecce3465fc501d5b6b60d3a

Observation 803090e3-7c8a-4afb-b467-630849b90efa · outbound

This paper cites Image registration methods: a survey,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Image registration methods: a survey,

Reference 54

Resolution
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no resolver link, observed 2026-08-11T19:22:48.823520Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T19:22:48.823520Z digest=sha256:445b086dec606ff4d2669337f00819f17647deeb00d46c694ababf6b176d0c04

Observation 2335e83a-aa9b-4ed4-85e3-bf2c8edf769e · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 55

Resolution
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no resolver link, observed 2026-08-11T19:22:48.828114Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T19:22:48.828114Z digest=sha256:13ba1a8e9cfcf847f941881c938c6c62cd3549e88265b1c5295bebdd8eb8e7d8

Observation 88e8d228-7c67-42f0-946c-9343b840174a · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies 3d gaussian splatting for real-time radiance field rendering

Reference 56

Resolution
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no resolver link, observed 2026-08-11T19:22:48.832809Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T19:22:48.832809Z digest=sha256:8b3bcb21d7ed4656a422f712f5979bdac41d8a05006a1faf4a750a992a290bf0

Observation 0948a402-80ea-4af9-b414-ccfbd048f436 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Particle video revisited: Tracking through occlusions using point trajectories,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.637104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.837382Z digest=sha256:791c72ca639ae81c09c47435e1fb9d3f1b3f52b8517e297b200d0d19fdf780ca

Observation f6619777-4cc9-4bff-8955-0778c05d9e9c · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Pointodyssey: A large-scale synthetic dataset for long-term point tracking,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.621471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.841829Z digest=sha256:dbdd5526d38015f7d06dfab1b2eefce9628e0899019f294fd4967e437df7ee71

Observation 5be08f41-04f9-44f5-a357-1981c9990616 · outbound

This paper cites Tapir: Tracking any point with per-frame initialization and temporal refinement,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Tapir: Tracking any point with per-frame initialization and temporal refinement,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.606888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.846579Z digest=sha256:067f27dd695b4b2975b0577a277d4947dbecd7079ac2084899d5d9121dfdef54

Observation 952d4ec1-aa90-49a9-ad2c-c15f62356154 · outbound

This paper cites Segment anything,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Segment anything,

Reference 60

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source=pdf_text observed=2026-08-11T19:22:48.850753Z digest=sha256:1428cd82c13abcf2d5d1a12a305447cc47999f2b2abbba8828ac944aad8ca7f5

Observation 01dda069-4762-47ba-909c-21b39770d05b · outbound

This paper cites Deep learning in medical image registration: a review,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Deep learning in medical image registration: a review,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.581110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.855054Z digest=sha256:af999f1aa2a9770d4f6e9bb536ed8d53dec0f8c51e19e7e1b07e58bf3289dff3

Observation ef4c9ab5-8724-46e6-9d1c-c4de2a40b748 · outbound

This paper cites Learning semantic correspondence with sparse annotations,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Learning semantic correspondence with sparse annotations,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.564412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.859765Z digest=sha256:4f79b8ab0fc7ce828eaaeda80925b7c0b7a1730f2923a881a5f93525ed1196b8

Observation c2ce1edc-d73e-49ea-b8a1-13f5f6c6a9a5 · outbound

This paper cites Asic: Aligning sparse in-the-wild image collections,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Asic: Aligning sparse in-the-wild image collections,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.551064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.864153Z digest=sha256:5550db9f11781cc232e1c0b7e5e6a024d8893775a110f36e51f5f491de69ad81

Observation 8db59b07-1870-4fd0-b879-ad7f7c15a602 · outbound

This paper cites Human motion analysis: A review,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Human motion analysis: A review,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.537400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.868520Z digest=sha256:d2bd288a4b52d0079285acc270cfa87fc1d587a5d4be402be3ee4acfbd7c7514

Observation f8aa676f-b2e5-4f02-9d79-aa2b76c52d29 · outbound

This paper cites Object tracking: A survey,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Object tracking: A survey,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.522603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.872390Z digest=sha256:01832969ee90873103be65ef6fc1c1b0176bd3fdd9777de68be0aece77111924

Observation 6467c29b-9d5d-4652-aad0-f310998a9621 · outbound

This paper cites Visual odometry,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Visual odometry,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.507662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.876432Z digest=sha256:e33c4c49bdfeb2889819e9bb0c22684a5d428038cb7c8bd4151d1c6e616cb2f5

Observation df59fa80-0e62-46de-ac07-63008604b14f · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.881140Z digest=sha256:b4ecf609efae453a0cdfb945d8ec9998eaa0b46ce4d22341bf8b60122de390f9

Observation 051015db-2ad9-4573-a12d-d60502b23080 · outbound

This paper cites Graph inverse reinforcement learning from diverse videos,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Graph inverse reinforcement learning from diverse videos,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T19:22:48.885449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:48.885449Z digest=sha256:781078292e756fda12beb52ddb43b90cb31103ee103d30d8120f2e3a796611bb

Observation 448e8444-da16-408f-af5f-786a069b51b3 · outbound

This paper cites Graph-structured visual imitation,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Graph-structured visual imitation,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.483555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.891274Z digest=sha256:57d66b66fd8b571b1b94726db5ceae01dc6ed74f17fbe46a85fc3d14b9f36b5b

Observation f9fbf974-faa0-4489-8513-fe8117d2b315 · outbound

This paper cites Graph learning in robotics: A survey,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Graph learning in robotics: A survey,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.468017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.896037Z digest=sha256:ccd2be64d2e0c9d559396584d272e06b9cae4566b26251ebb736fcf238fc3850

Observation 21ed3aa8-492e-4a4a-9677-26d499d652c8 · outbound

This paper cites Offline imitation learning through graph search and retrieval,.

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies Offline imitation learning through graph search and retrieval,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:22:49.452085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:22:48.901129Z digest=sha256:e70d16be06754e713ca18086ab36c1244f9e307dd774b7b6e0e11dc0e89dc922

Pith citing papers

Observation 1a8200c8-b9ea-43cc-bebf-6564cea943d6 · inbound

EgoZero: Robot Learning from Smart Glasses cites this paper.

EgoZero: Robot Learning from Smart Glasses P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:58.796552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:00:58.796552Z digest=sha256:1beae78ebf7b08f3cb162b1bf23004ef1636ec8a06e55bae13f71a805a4538bd

Observation 95cdd377-e5ca-410b-a6de-49e6cb83d0ba · inbound

Feel the Force: Contact-Driven Learning from Humans cites this paper.

Feel the Force: Contact-Driven Learning from Humans P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:14.554872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:14.554872Z digest=sha256:938aab558f34989747ad3351f4a84076d98e2bcd793eeb606efe303ee87d55d9

Observation 18afce93-b038-4d12-89a4-37f615b1fe1e · inbound

Touch begins where vision ends: Generalizable policies for contact-rich manipulation cites this paper.

Touch begins where vision ends: Generalizable policies for contact-rich manipulation P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:46.296939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.296939Z digest=sha256:148810d16b85a55a7075b3f722c40ac019a2130467135639e2acea0d4c4ed2a2

Observation 90830c9b-ba15-4c95-8927-7c06a85eff89 · inbound

AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation cites this paper.

AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:21:15.223377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T10:17:53.226866Z digest=sha256:24e1be24fb4663ffa99a0dee3d5b6b086bc6a50e58813d36111054ff67193121

Observation 6ade65d0-e169-4b1a-afa3-3f60e1cb6ff9 · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.435194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:334aa78f973acbb8c06b789ed76717c19fe8f74844bc8beee99692dc3e64323f

Observation b65b32e2-4ed2-41e0-9fae-1de170fe9672 · inbound

Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations cites this paper.

Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:57:38.563352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T13:31:04.351106Z digest=sha256:0b8611c0a22f37e6267d7ebd58851ad0ed171ee105e8c3424a1a18ecd72fbe5c