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Paper Citation Record · LEDGER

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.10706.

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

pith.paper-citation-record.v1
2607.10706 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:52:25.940408Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

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  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4618e908-15a5-47e7-adfc-89c4f506f7e2 · outbound

This paper cites GPT-4 Technical Report.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:6c3fa0e8077b9434f4614c9e1143434ef97ad0f27074b23b8e9edbc371c8a505

Observation 416fea8d-93b1-4b0d-b4ac-0ccf756ee133 · outbound

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

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 2

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:358802962d58fa72914b509ce929543ea6a213b89b8588c2eb1e85cc279181c5

Observation 1136ca53-12f2-4f00-88ed-ad3e2476efec · outbound

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

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification LLaMA: Open and Efficient Foundation Language Models

Reference 3

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:ef797973b5ee74646b33c03f51c16406d2efa168e107921c16325621705c14f3

Observation ffc3a43f-d6bd-4e53-af9e-1ac8eea82d58 · outbound

This paper cites Goyal, H.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Goyal, H

Reference 4

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:9d148bff06b0b62c94bfc660991e848599fb075b9d91937bf41697ede4bd7248

Observation 1518f142-a445-4958-b97e-6ad617b7491f · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:17c129c1ce8786bb7a5425902587127c14cc3d4b917bde8fc95bf9ded22a57dd

Observation 0f3387f6-e199-44d4-b09c-4124a875e37e · outbound

This paper cites Zitkovich, T.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Zitkovich, T

Reference 6

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:7627ffc8fb3aaf354408d434c155f8619c132220ecdf66c4cebd60cd26e91071

Observation fccea999-bcae-4fce-a093-e304ba6b6a57 · outbound

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

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification OpenVLA: An Open-Source Vision-Language-Action Model

Reference 7

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:1cbcdb1e6031d2a16285d7394be68a99d7054e5de4be06e076415abc1f1ff43a

Observation 9c1098c9-ce57-42b6-aa0e-9368f4f40b1d · outbound

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

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 8

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:e609faf3df5ecf4e419d67edb4a1978c5d868dc464d728230e1c328e9d64c14d

Observation b9d9946c-1f55-4e15-888f-b7d242981821 · outbound

This paper cites Haldar, Z.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Haldar, Z

Reference 9

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:a10922f6cb84d44292d5a42e6cb67ebc2f5ed74e5f849b2f7fe812affaf05e0a

Observation fa84fa9e-9393-4b18-934a-3fbb8a78fe4f · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 10

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:90908d54ca09b61984357952f6b16567f9da18b48c3c3b77fe2c1a0ce2173d81

Observation f8179056-8e83-4d09-8e0a-7a9d1e0e8594 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 11

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:97ec82a168c0fcd5ab4bd430adff5e5c684ac26ccbeb671940a3bbbdfc935730

Observation 4af0c541-8dc3-476c-b0ee-e10a65816fb1 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Proximal Policy Optimization Algorithms

Reference 12

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:166a0b3c97c87fda2fddf56ed6d2fe9f0bff0aaad630f890f4cd42b870d15473

Observation d597ca8f-5ea9-4487-94aa-c0a3162a23e2 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:7d3cc461e90b82005c8c3c9842c970a8fcceea23478a52116860eea6842dd219

Observation 5a701e70-f703-4b60-9dcc-afef005c51f9 · outbound

This paper cites Equivariant Diffusion Policy.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Equivariant Diffusion Policy

Reference 14

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:3faa7654b9250fd08922d97dc974b24edeb31129157497257001d77674cc27a5

Observation a5bf5bee-dc36-47ed-b793-fe6b4a98ea62 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 15

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Observation bf5e3360-9dff-4d8d-921f-ddfac859d9d2 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:9de9008a7e7fd2e7548d4c3643674c4ce3979ad7e7fcf8b5182a74fa61fb4e02

Observation c5d7dbbb-753f-4314-94e2-22de870010a8 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 17

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:eacca0b4a093d1595798bc8e30e314315d0bf763cc79a37adda946963d514802

Observation 65b25007-3c85-4c66-81fc-bd8db77bc299 · outbound

This paper cites Equivariant Transporter Network.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Equivariant Transporter Network

Reference 18

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:6d3238c7b73e0fcf8877c74c91b67f66cff7fdccb27cd009e94ed5d4a6b624e3

Observation 2e10162b-27dc-4eb0-b402-dfdf2983c74f · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:18d52a81ff5fccac18c91051fe27ab50cc26f7d54af607ed332d37e823824418

Observation a65908d0-3212-44cd-9b12-380d689f1486 · outbound

This paper cites Shridhar, L.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Shridhar, L

Reference 20

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Observation 9f319724-f4bd-405f-a070-0fad6fb8336c · outbound

This paper cites Huang, O.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Huang, O

Reference 21

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:eba76cc515a55b6979c4417a4e5c64a216bfffabd1eb75a43f667e822f867af0

Observation d242094f-f77c-49d2-b87a-af9cdd84fbda · outbound

This paper cites Goyal, J.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Goyal, J

Reference 22

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:69a53d32895c857880d100d555e99a03e5f138c114dff0c491c5891042cdf8ad

Observation 47429ce6-1df8-4f0b-8128-ae5c404d33f4 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 23

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:8f656ae20306506366d03e2feca033c4d75a7adad4decff168c03993db2a218e

Observation af1f935c-ec8c-4520-bfa7-434e06768306 · outbound

This paper cites Eisner, Y.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Eisner, Y

Reference 24

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Observation 7554b5fd-dd2f-4bdb-a5df-9832ba6fa9ca · outbound

This paper cites Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies

Reference 25

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:659a0af5938754d26d7e40b08c0a4932b9a282657aebb73f13647e773a6cabdb

Observation d8ad79db-419e-4f9b-b52d-fe8962df5a96 · outbound

This paper cites Huang, H.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Huang, H

Reference 26

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:7b3268ba6efe3bf5c18fccd36e3ec3f6b265113377443ba51d480fda9a051f7f

Observation fc801e9b-7d01-478b-9c74-cab4a52e7007 · outbound

This paper cites Imitating Human Behaviour with Diffusion Models.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Imitating Human Behaviour with Diffusion Models

Reference 27

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Observation 5300fcb1-4d48-4b05-b70b-1bcd50701886 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 28

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:6c082c20d13d44acbfc18422a26a60597e1ac99468ca4ccbba25eedbed73cce9

Observation 4bf2cf65-fe4b-475e-9e1f-79b904af3638 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 29

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:dd982dea625aa8cbecc58fc9eada70fe488d45881ed7eebc07111a958c3c9526

Observation bb0c62c6-08cf-41ac-b002-fbbe25d4bfa1 · outbound

This paper cites Flow Matching for Generative Modeling.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Flow Matching for Generative Modeling

Reference 30

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:9b539420d50acc4bb09fe0cabe39794f9c34edb86c1e99e0c2dd69230e053be2

Observation 740f1610-ad99-4c4b-adcb-70d521ea987c · outbound

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

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training

Reference 31

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:643c50a2a302e6676abbfa8271c08f3e77af07aa44629060d7bf393258d4dd35

Observation 650be604-e874-4305-b09f-a8f888b0114c · outbound

This paper cites Haldar, L.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Haldar, L

Reference 32

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:4a7d3c6523736fbeb0ca4d924c136ecb5eaa8e9fdb075fb06e321c86cd41b768

Observation 4fa8c4a7-5c47-4c4a-a847-c0b6257043b5 · outbound

This paper cites Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection

Reference 33

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:9f0f3239f0f4391cfee111c37b67945e1aaac3e65d66a80ba8ae72ce0be4bc61

Observation 74f07dee-3f12-4fc4-a65d-1bdd086eb085 · outbound

This paper cites OrbitGrasp: $SE(3)$-Equivariant Grasp Learning.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification OrbitGrasp: $SE(3)$-Equivariant Grasp Learning

Reference 34

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:dd0ebf879bab92ad9e2f7ec4586120c6d975bef36ad940fca21c0c4176c9f064

Observation c3a05bad-242e-49f9-8de9-ca8b5187a423 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 35

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:e5632e62fbaf08191b4a3b8cf233dbbed9a02c7b3f5c2c2ae8ee13ed37aa0613

Observation d6be67e2-9355-4ce4-8d44-1b2db78fa897 · outbound

This paper cites Manuelli, W.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Manuelli, W

Reference 36

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:f5889a8fac0c57085c23d83b6bcb3f2231bea472a17fd799ed33991f9a89ec90

Observation fa6146c2-7270-49b2-a86e-7391c98c9509 · outbound

This paper cites RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

Reference 37

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:c6ab5806afd6185cc278347f73eb2ec3c693c1d3be260b0474c9c502936ae79d

Observation 0cc1e1a4-c306-4a00-8582-21848cef4d7b · outbound

This paper cites The doubly librating Plutinos.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification The doubly librating Plutinos

Reference 38

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:0276f84c3a87e8404c3f101ce2fee0771b3fdfa8888a99453bccb5be9f9b6884

Observation e3eacc9e-491f-4137-9363-be1b14168307 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 39

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source=pdf_text observed=2026-07-14T09:52:25.940408Z digest=sha256:97a69b3169448d7073c2b2ae92af77aa6e8955e9080e7e111b29ede486dd80c3

Observation 5eae9083-27e2-469b-9052-f4c567012763 · outbound

This paper cites Flow as the Cross-Domain Manipulation Interface.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Flow as the Cross-Domain Manipulation Interface

Reference 40

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Observation c72511b3-2c22-4146-8f40-a9b9575e0198 · outbound

This paper cites Ronneberger, P.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Ronneberger, P

Reference 41

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Observation f23b33d5-df22-4815-982f-86e410deecef · outbound

This paper cites Hamdi, S.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Hamdi, S

Reference 42

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Observation 8fa22007-463f-4b51-9de5-ee43462b3d8c · outbound

This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Reference 43

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Observation b5dc830c-a1ea-41c3-9417-d86b7c2b4125 · outbound

This paper cites an unresolved cited work.

Action Map Policy: Learning 3D Closed-loop Manipulation via Pixel Classification Unresolved cited work

Reference 44

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