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Paper Citation Record · LEDGER

R3D: Revisiting 3D Policy Learning

As of 5 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2604.15281.

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

pith.paper-citation-record.v1
2604.15281 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T10:57:54.273960Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact5
  • verified fuzzy15
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch34

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdef47f2-0dfd-46fe-a34b-c41f0cd2f789 · outbound

This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.

R3D: Revisiting 3D Policy Learning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

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arxiv_id, observed 2026-05-15T10:47:09.105767Z

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Observation b36251b5-4153-4c3b-940f-93508df3db71 · outbound

This paper cites 3d cavla: Leveraging depth and 3d context to generalize vision language action models for unseen tasks.

R3D: Revisiting 3D Policy Learning 3d cavla: Leveraging depth and 3d context to generalize vision language action models for unseen tasks

Reference 2

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arxiv_id, observed 2026-05-10T11:00:04.174258Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:158dabf24eee9547f32dc2c764398819b65c200d9cbb44c8e1af849a9ed1bb2f

Observation 16454dfc-ede4-4897-abdf-a79fa81f2f55 · outbound

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

R3D: Revisiting 3D Policy Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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arxiv_id, observed 2026-05-10T12:38:24.665044Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:5d2552cc519d6d4bb85f3515222134f46be3a18d5e41f93895a1447cbb00ac8b

Observation 4bce0191-0ecb-4136-8753-78433c8fde5b · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

R3D: Revisiting 3D Policy Learning UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 4

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arxiv_id, observed 2026-05-12T15:28:07.265740Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:cde8f2c8e60ad5449e771f64c40cd4166c5cac680d5590236f50221645a47bc3

Observation f7b915b7-c5ba-4d4c-8f5a-67eac288cece · outbound

This paper cites AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation.

R3D: Revisiting 3D Policy Learning AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation

Reference 5

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arxiv_id, observed 2026-05-10T11:00:04.145199Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:f6249a83f797deb9df2ad0498e854324b71c0858a12a0501e05ee1dc3b1755b3

Observation 148ceec3-0164-44af-9210-acc7b562e707 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

R3D: Revisiting 3D Policy Learning RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 6

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arxiv_id, observed 2026-05-11T06:40:27.997500Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:6d8f761b4cd8aeaf9753f629e77baeb99bfd52a4baba5118caeec60ef152e9f0

Observation b83820e0-5674-469f-9488-71878be799a1 · outbound

This paper cites The International Journal of Robotics Research44(10-11), 1684–1704 (2025) 1, 2, 5, 6, 10, 12, 13, 17, 21.

R3D: Revisiting 3D Policy Learning The International Journal of Robotics Research44(10-11), 1684–1704 (2025) 1, 2, 5, 6, 10, 12, 13, 17, 21

Reference 7

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raw_fallback, observed 2026-05-19T17:23:09.480863Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:502881085552a0d080ef8fc20e04a5dd9bb5cc6fcf769fd4b22ce799775dc099

Observation 5542c435-fc5a-405f-8ce6-24ec528ed70c · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

R3D: Revisiting 3D Policy Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 8

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raw_fallback, observed 2026-05-19T17:23:09.446472Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:b48da7fdf203e5bf73d9d7b8e36725e055e76403e45af68f2c504dc9b9e74965

Observation 4d07fd35-df70-4e50-be93-c14847b45f98 · outbound

This paper cites scalable deep reinforcement learning for vision-based robotic manipulation.

R3D: Revisiting 3D Policy Learning scalable deep reinforcement learning for vision-based robotic manipulation

Reference 9

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raw_fallback, observed 2026-05-19T17:23:09.463039Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:3a9891034cf5ae0706697ecc8952ef4363ada0811e3c568132c2460fd433d5d6

Observation 16eeea4a-bd10-432c-b979-d58734bb4cf3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

R3D: Revisiting 3D Policy Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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local_arxiv, observed 2026-05-10T11:00:04.147681Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:e547905fb08e2b36ab8d7e3ab7b06b4b209739a562c67dcadbc0db44309e0b56

Observation 5d05b655-7dc6-4f05-bca3-6670e5f162f0 · outbound

This paper cites AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons.

R3D: Revisiting 3D Policy Learning AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons

Reference 11

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arxiv_id, observed 2026-05-10T11:00:04.150182Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:e580857575f56da0369c7088922ef3b9f633b7f151d547a9053f06a3b0d605b8

Observation ed69435f-dcf9-48d9-bc85-18bfeee08707 · outbound

This paper cites Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

R3D: Revisiting 3D Policy Learning Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

Reference 12

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arxiv_id, observed 2026-05-10T11:00:04.160181Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:d16860bf47bc31c9afeed897b20bb9c3901761236f38929f5aaeef59c630f834

Observation 6da73a0d-fb45-4d8a-bd6c-ed2f9e0c4c0e · outbound

This paper cites 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation.

R3D: Revisiting 3D Policy Learning 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation

Reference 13

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arxiv_id, observed 2026-05-10T11:00:04.152684Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:c6414dfed0fe347ebe7552e34b1a902fd381bf8e18bee886c59dce1862e696f2

Observation 34f9134d-f405-4e38-af38-dabb31df24de · outbound

This paper cites In: Conference on Robot Learning.

R3D: Revisiting 3D Policy Learning In: Conference on Robot Learning

Reference 14

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raw_fallback, observed 2026-05-19T17:23:09.469883Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:ab0d576c47f31431bb66de983096093032fc3e3e630f10a05ef9efda1eed91e9

Observation 049ddb34-a1e5-47a0-bef8-0cf2b456f642 · outbound

This paper cites ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

R3D: Revisiting 3D Policy Learning ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Reference 15

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arxiv_id, observed 2026-05-10T11:00:04.155169Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:ccceb0b493485bc9c9cefbb468c06bda07a4fe6efe6608c5fb59d5c5b69e8ee4

Observation 20a40b4f-a157-49dc-a957-8f2c4ed9d150 · outbound

This paper cites International Conference on Intelligent Robots and Systems (IROS) (2024) 18.

R3D: Revisiting 3D Policy Learning International Conference on Intelligent Robots and Systems (IROS) (2024) 18

Reference 16

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:433048e38a4ae2e425310e7b89557a03755e9617ef358959f9c0ce3e6a9ede7a

Observation a2a6c108-34e8-4647-b00d-b3811a158a66 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

R3D: Revisiting 3D Policy Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 17

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:d91d6298146171b82ec18d7731e3085a5e8736826b71eada84e6260b06b3cb65

Observation 98a2996b-22fe-43da-a87e-9de3aacc7893 · outbound

This paper cites Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation.

R3D: Revisiting 3D Policy Learning Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation

Reference 18

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arxiv_id, observed 2026-05-10T11:00:04.162646Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:2b460a7f801d7a77dc4541272aafe55ddfc61c3ec2512e27d5955431d23e5056

Observation 83c0df85-a0ab-4518-94bc-8c53c0540e59 · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

R3D: Revisiting 3D Policy Learning 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 19

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arxiv_id, observed 2026-05-17T22:00:05.246520Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:cda2901d061087962ccda6fdb4e5b7afbd4bfb13120e08456a6f71ac9f9cf02c

Observation dcd1ebab-129d-48c7-8ae1-f90585adde22 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

R3D: Revisiting 3D Policy Learning Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 20

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arxiv_id, observed 2026-05-11T04:35:33.294794Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:7fa3c260bc920c9af65766072e9a3c68ac105bb9733cd22986418d0c4e245506

Observation 45f9d739-891e-4065-96a1-2b63c71e5264 · outbound

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

R3D: Revisiting 3D Policy Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 21

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arxiv_id, observed 2026-05-10T14:46:37.168344Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:1b08e7023d149fbfea09e6b6ffc5f7c9aaf9ae316d2b4f3a3ab4725911acde18

Observation fc36ecab-8d5d-474f-b84b-f282c404de6f · outbound

This paper cites PointVLA: Injecting the 3D World into Vision-Language-Action Models.

R3D: Revisiting 3D Policy Learning PointVLA: Injecting the 3D World into Vision-Language-Action Models

Reference 22

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arxiv_id, observed 2026-05-10T11:00:04.190007Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:029b1794f62f95cbef00897d755289ba66d87319e70a286ee7dd67f4aebf8e0e

Observation d2f54ad6-3856-4bef-9829-ee9f91d34b90 · outbound

This paper cites Spatial forcing: Implicit spatial representation alignment for vision- language-action model.

R3D: Revisiting 3D Policy Learning Spatial forcing: Implicit spatial representation alignment for vision- language-action model

Reference 23

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arxiv_id, observed 2026-05-10T11:00:04.177072Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:22d3740bf06a17ae592513e88c2d47261694294abe591c0a24b3ebf1295274c9

Observation c45d7175-8301-4ae3-a9cd-4412fb1e5825 · outbound

This paper cites Bridgevla: Input-output alignment for efficient 3d manipulation learning with vision-language models.

R3D: Revisiting 3D Policy Learning Bridgevla: Input-output alignment for efficient 3d manipulation learning with vision-language models

Reference 24

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:c8c79ea27b9e5c825bd829f5e15af55aa062dbf8299d5367dbe7a3dd906a6224

Observation f223ed7b-05f6-4852-b60d-e27e6b6246b4 · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

R3D: Revisiting 3D Policy Learning Vision-Language Foundation Models as Effective Robot Imitators

Reference 25

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arxiv_id, observed 2026-05-16T21:44:27.700418Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:90c249c5545eddf3997473cb9d28651084bfcd4dba934ae15e1f8e0f30608d9a

Observation 3e5a2060-794e-4f64-a91d-6a6d2497a662 · outbound

This paper cites Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots.

R3D: Revisiting 3D Policy Learning Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots

Reference 26

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arxiv_id, observed 2026-05-10T11:00:04.187477Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:150f8d5e01f5f64290f1f8ef313122d5f241861ac13dbe0a83feae7da2a3b628

Observation 84ec40f4-0b56-4eeb-96be-6a1d3ba5f745 · outbound

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

R3D: Revisiting 3D Policy Learning RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 27

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arxiv_id, observed 2026-05-11T07:46:30.715521Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:936f7955dddba9bab577306d7014d774a24e0951190f675d213c137c6121c111

Observation 6d03199f-1320-477b-97a0-691b8dc8c562 · outbound

This paper cites Vo-dp: Semantic-geometric adaptive diffusion policy for vision- only robotic manipulation.

R3D: Revisiting 3D Policy Learning Vo-dp: Semantic-geometric adaptive diffusion policy for vision- only robotic manipulation

Reference 28

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arxiv_id, observed 2026-05-10T11:00:04.185050Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:730323d361323e3c21acf4c71b16ca607d45ff8d6a49498747c2acc2be45ecbc

Observation b0ac786e-60b1-4cbb-a268-25bf33462d37 · outbound

This paper cites In: 2024 IEEE International Conference on Robotics and Automation (ICRA).

R3D: Revisiting 3D Policy Learning In: 2024 IEEE International Conference on Robotics and Automation (ICRA)

Reference 29

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raw_fallback, observed 2026-05-19T17:23:09.450662Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:82474dbdf8391810936354a95f28bbce3628cc8f207c9c25f4e0d2d82eb4b8a6

Observation bfe8d01d-15c6-4b32-9342-aaabcec4aa3b · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

R3D: Revisiting 3D Policy Learning In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 30

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raw_fallback, observed 2026-05-19T17:23:09.451017Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:2a60108f5bde501d42afa0f20416459fc7fc03714c33d6bf58fef1fa91b82b90

Observation f10e760f-9a07-42ef-a9e1-d71b20196bbb · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

R3D: Revisiting 3D Policy Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 31

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raw_fallback, observed 2026-05-19T17:23:09.472176Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:12209df12770e6ce1e021fe07dcab24c6da602ce4bdb1238200ce2f39ec2f739

Observation cfe46286-d10c-4907-b5a0-b35c303b8e55 · outbound

This paper cites Advances in neural information processing systems30(2017) 4.

R3D: Revisiting 3D Policy Learning Advances in neural information processing systems30(2017) 4

Reference 32

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raw_fallback, observed 2026-05-19T17:23:09.454852Z

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source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:9ef53dd0c2b1fa129757133dae44f10583ecf7cf3764d38589ee74dc8dd353b9

Observation deae8be9-2a7b-4e05-8a6e-dcd045735035 · outbound

This paper cites Gp3: A 3d geometry-aware policy with multi-view images for robotic manipulation.

R3D: Revisiting 3D Policy Learning Gp3: A 3d geometry-aware policy with multi-view images for robotic manipulation

Reference 33

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arxiv_id, observed 2026-05-10T11:00:04.195087Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:e3bf4d2eed9b508cb90c4635baa4f6d82c758509b902596593447c22df15ab5a

Observation 9fec5fc7-e303-487e-8712-84b8de551f9b · outbound

This paper cites 3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.

R3D: Revisiting 3D Policy Learning 3D-MVP: 3D Multiview Pretraining for Robotic Manipulation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.210783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:a2455c46d9739223e75628496e91dbe9c94019c78f51bc8c8fc05970d09119b9

Observation b45ddd1e-938a-4d3a-b95b-e00d7deca187 · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

R3D: Revisiting 3D Policy Learning SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:12:22.898827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:66619bd29f0da9a6730cd10550eb4a3b9feb3113cdf38104f173cf74ca897dd1

Observation 5d8f225e-9e7a-40c5-adfd-b50fb1cc0359 · outbound

This paper cites In: Conference on Robot Learning.

R3D: Revisiting 3D Policy Learning In: Conference on Robot Learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T17:23:09.474165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:7db6f6aa80a2ca38986342fb0f08476e85e1191e8ece0c6f605972a463872871

Observation 3c4e72ad-2694-47f3-8c08-22e5abc0a37c · outbound

This paper cites GeoVLA: Empowering 3D Representations in Vision-Language-Action Models.

R3D: Revisiting 3D Policy Learning GeoVLA: Empowering 3D Representations in Vision-Language-Action Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.200200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:1316e1debfd6ca03f3126bb87dce52e0ed18505229dfc140bb73c34a4b6692c8

Observation 834f3003-9006-434b-8a91-19e77b444da6 · outbound

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

R3D: Revisiting 3D Policy Learning Octo: An Open-Source Generalist Robot Policy

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:26:16.174119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:deda0690fd6fef770f0bcb62ad30cd4d430b59ab6f1a3a0beb99b53075a8699c

Observation 40a6a6af-43f8-400e-89ce-e6df241dd0ba · outbound

This paper cites Improving robotic manipulation with efficient geometry-aware vision encoder.

R3D: Revisiting 3D Policy Learning Improving robotic manipulation with efficient geometry-aware vision encoder

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.140225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:768f84f6f8cc9d883c4b7897ed09e0d772e86cf0401340f88a4bf4b25d3b08bc

Observation 6e7e1332-520f-4dd8-92b6-99d6f623032a · outbound

This paper cites Partnext: A next-generation dataset for fine-grained and hierarchical 3d part understanding.

R3D: Revisiting 3D Policy Learning Partnext: A next-generation dataset for fine-grained and hierarchical 3d part understanding

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.124221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:f2314ebb5939e3a67a33f3f2606bd222d826cca04d81551f2a65ea26bd9fdd78

Observation d339a71b-c91b-4a66-a577-cb4cb90b0514 · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

R3D: Revisiting 3D Policy Learning Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T16:32:05.974462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:023a72c1aeaaec6139acc509bba24192e83aa9aaca1cc553c2c0fd635d874297

Observation c8b356a2-4130-4b3e-9111-6b8c75c88937 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

R3D: Revisiting 3D Policy Learning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T17:23:09.476073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:736b375dba0131a24d5ace9cc30a7b73cec03f0c9b5b6871e58fe36c8d7e9dac

Observation d35b9d50-961c-4de1-9311-52e0bc26e18a · outbound

This paper cites In: 2024 IEEE International Conference on Robotics and Automation (ICRA).

R3D: Revisiting 3D Policy Learning In: 2024 IEEE International Conference on Robotics and Automation (ICRA)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T17:23:09.467600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:03be7f1e5d5d732f5e5389d8c6eb3a20cbfec565ba0823c7fb6aa532d561da87

Observation f5cd087f-5b95-4cfe-83d2-7bdca9e1ff92 · outbound

This paper cites ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training.

R3D: Revisiting 3D Policy Learning ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.135253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:ca6b592d5a60338c2a1dcf1cc9c602e7f21e2c54e6c7d9ad1fa8d2d878e93b5b

Observation 8beed491-75ff-4b65-9a28-b7df64563b46 · outbound

This paper cites FP3: A 3D Foundation Policy for Robotic Manipulation.

R3D: Revisiting 3D Policy Learning FP3: A 3D Foundation Policy for Robotic Manipulation

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.129404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:d34d05752e6d5b87a5b208b49131e8acc9793654b6705e39b6ed7f2ddb2bf3b7

Observation 4660ae04-8090-4b02-bddf-a64fce59f37b · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

R3D: Revisiting 3D Policy Learning In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T17:23:09.465293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:73d5d205139ae35ba95a6d341c6babef90c50b9242b58433c444d3566c83e8c6

Observation 2215e6f6-c22d-46ef-9941-328b1dd3e343 · outbound

This paper cites Depthvla: Enhancing vision-language-action models with depth-aware spatial reasoning.

R3D: Revisiting 3D Policy Learning Depthvla: Enhancing vision-language-action models with depth-aware spatial reasoning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.118948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:e0d98d1b17243857892f53f104f3bd49cafdb64333af00389479ae3f02f972bb

Observation 3ddcc228-4145-4ea5-9137-d4e85996bef0 · outbound

This paper cites arXiv e-prints pp.

R3D: Revisiting 3D Policy Learning arXiv e-prints pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T17:23:09.478534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:fd3377409efc1635555e8eccc544eace538087a220706b5688478188804e6946

Observation c8f9a52f-a00e-42dc-ae08-f426b8fee9c7 · outbound

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

R3D: Revisiting 3D Policy Learning 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:49:37.451338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:125a4671dff884cff6df58ce4992bd5027f28026a2264d428146499e36ecdf85

Observation 033a75cd-ae37-4b95-bd70-8c54146b4155 · outbound

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

R3D: Revisiting 3D Policy Learning Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:15:36.384383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:3bbe27722cf101b50dbaf1e050f0f1e0984aeed9f0f37f1fa4e84f892895bb8f

Observation 59dc6482-eeaf-428e-a841-962d441c369b · outbound

This paper cites AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation.

R3D: Revisiting 3D Policy Learning AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.113858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:979690e00e710bd856863304f6a46f1567bd4c4b90cfcdb71e87aea7a00a3890

Observation b9ec0899-39dd-410d-a5d3-1e1a2e9d8bf1 · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

R3D: Revisiting 3D Policy Learning 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:18:27.368966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:619a1dbf92e2df3c42ebc18a05ec7ea69f7589af5e6bd9b0d7e73b82f5450405

Observation 9cdde1f6-1e40-4314-86ef-236b1d271212 · outbound

This paper cites Uni3D: Exploring Unified 3D Representation at Scale.

R3D: Revisiting 3D Policy Learning Uni3D: Exploring Unified 3D Representation at Scale

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.126873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:4423911d2f9aa45b2448ad879249773947d43100d84803d4b05968defd6b39fa

Observation 5e918120-c927-4bdc-bc5c-261a08872bd7 · outbound

This paper cites Point-SAM: Promptable 3D Segmentation Model for Point Clouds.

R3D: Revisiting 3D Policy Learning Point-SAM: Promptable 3D Segmentation Model for Point Clouds

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.142716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:d6f8d7547b13f69a1ebd7176742fece6abe5d195d95eeb2a27984fb9c231f801

Observation 063c26ab-4754-4fde-b52b-d427ce2d764a · outbound

This paper cites an unresolved cited work.

R3D: Revisiting 3D Policy Learning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-19T17:23:09.462871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:b314e2e2484a3631f579736bbbf017fc280c7680cd45f96a26bdf6597ddf5d46

Observation cd286903-b954-41e3-b627-fd563f01364c · outbound

This paper cites In: Con- ference on Robot Learning.

R3D: Revisiting 3D Policy Learning In: Con- ference on Robot Learning

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-05-19T17:23:09.453002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:57:54.273960Z digest=sha256:2f31de4e729e40d4104e8857d3a6872375d9d65c4d074f71b9727108ad68d5b0

Pith citing papers

No inbound Pith citation observations are available.