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Paper Citation Record · LEDGER

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.29374.

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

pith.paper-citation-record.v1
2607.29374 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:19:57.556472Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 3cd2e9cd-5db9-49f5-83ee-db7d54bbcce3 · outbound

This paper cites Robotic grasping and contact: a review.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Robotic grasping and contact: a review

Reference 1

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Observation e7018b1a-fadd-47fe-b652-e693dcb66e5c · outbound

This paper cites GraspIt!: a versatile simulator for robotic grasping.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning GraspIt!: a versatile simulator for robotic grasping

Reference 2

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Observation 9ddb0207-a32e-4020-b508-0f8d00ba2077 · outbound

This paper cites Grasp pose detection in point clouds.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Grasp pose detection in point clouds

Reference 3

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Observation a59fe422-27bd-49d3-8d37-2d0d7a702431 · outbound

This paper cites Dex-Net 2.0: deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Dex-Net 2.0: deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics

Reference 4

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Observation 5f67dbed-0d63-407d-98fc-6ceeea545228 · outbound

This paper cites Contact-GraspNet: efficient 6-DoF grasp generation in cluttered scenes.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Contact-GraspNet: efficient 6-DoF grasp generation in cluttered scenes

Reference 5

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source=pdf_text observed=2026-08-03T08:19:55.738287Z digest=sha256:a4dcf8e8fbadb582477fb95416c73fda53e2b1d0d274186cf81ccdb92bbb93a3

Observation 614d2adb-9cd8-4508-b5f9-da0c44fde4f9 · outbound

This paper cites AnyGrasp: robust and efficient grasp perception in spatial and temporal domains.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning AnyGrasp: robust and efficient grasp perception in spatial and temporal domains

Reference 6

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Observation 7d7be18b-26ee-46e2-80a3-3cbc0a6f582f · outbound

This paper cites A human-inspired real-time grasp force selec- tion policy based on load-grip force coupling.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning A human-inspired real-time grasp force selec- tion policy based on load-grip force coupling

Reference 7

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doi, observed 2026-08-03T08:24:02.441180Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7c2111dc-591c-4567-aacb-68324418cecb · outbound

This paper cites GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration

Reference 8

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Observation c766382f-a4fd-4dd8-8c52-e65f43f9d6d2 · outbound

This paper cites Same object, different grasps: data and semantic knowledge for task-oriented grasping.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Same object, different grasps: data and semantic knowledge for task-oriented grasping

Reference 9

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Observation 447ae99c-1317-457d-8ef9-24c00f0a9fce · outbound

This paper cites Learning grasp affordance densities.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Learning grasp affordance densities

Reference 10

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Observation f1376183-e995-4416-ad86-6e927c0f6233 · outbound

This paper cites GraspGPT: leveraging semantic knowledge from a large language model for task-oriented grasping.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning GraspGPT: leveraging semantic knowledge from a large language model for task-oriented grasping

Reference 11

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Observation 2c1ffabe-b216-4932-abf0-d10ed1e8e1cc · outbound

This paper cites SemGrasp: semantic grasp generation via language aligned dis- cretization.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning SemGrasp: semantic grasp generation via language aligned dis- cretization

Reference 12

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Observation 4fe96f5e-bac7-438a-8fbf-8eee560f15aa · outbound

This paper cites Do as I can, not as I say: grounding language in robotic affordances.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Do as I can, not as I say: grounding language in robotic affordances

Reference 13

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Observation d19d7fc2-e929-491f-9416-de44e07a34f7 · outbound

This paper cites V oxPoser: composable 3D value maps for robotic manipulation with language models.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning V oxPoser: composable 3D value maps for robotic manipulation with language models

Reference 14

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Observation bd12f4fb-ae4f-4a43-9163-101c977b7b1e · outbound

This paper cites CLIPort: what and where pathways for robotic manipulation.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning CLIPort: what and where pathways for robotic manipulation

Reference 15

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Observation 123f77e1-97bf-4783-955f-3ec707624e51 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 16

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Observation fedff8c5-8c0d-42fd-9791-4db30c1c9c51 · outbound

This paper cites Code as policies: language model programs for embodied control.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Code as policies: language model programs for embodied control

Reference 17

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Observation 21fe0d30-1ed4-4daa-935a-29547da50134 · outbound

This paper cites Lang2Manip: a tool for LLM-based symbolic-to-geometric planning for manipulation.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Lang2Manip: a tool for LLM-based symbolic-to-geometric planning for manipulation

Reference 18

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Observation e349c421-153e-498e-a7b8-ca1efc654561 · outbound

This paper cites Planning grasping motions for humanoid robots.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Planning grasping motions for humanoid robots

Reference 19

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Observation 5d9938a0-ced6-45d8-a275-a3c3ce7acd06 · outbound

This paper cites LAN-grasp: using large language models for semantic object grasping.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning LAN-grasp: using large language models for semantic object grasping

Reference 20

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Observation 70629826-1aa6-41a5-bfcb-47178ac71ba1 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Open3D: A Modern Library for 3D Data Processing

Reference 21

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Observation 630399d3-ffbe-4599-aba2-a8e4e002ba4d · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 22

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Observation 9439044c-5109-4bc8-91e3-ac8fb259e681 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 23

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Observation 010262e3-d07c-439b-8bcd-55ed51071682 · outbound

This paper cites PyBullet, a Python module for physics simulation for games, robotics and machine learning.http://pybullet.org; 2016-2021.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning PyBullet, a Python module for physics simulation for games, robotics and machine learning.http://pybullet.org; 2016-2021

Reference 24

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Observation eafc376b-fe52-4392-aae0-10fabb55ee48 · outbound

This paper cites Physics-based motion planning: evaluation criteria and benchmark- ing.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Physics-based motion planning: evaluation criteria and benchmark- ing

Reference 25

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Observation 12e5a810-a946-41c3-8955-3d39e804ee8a · outbound

This paper cites The YCB object and model set: towards common benchmarks for manipulation research.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning The YCB object and model set: towards common benchmarks for manipulation research

Reference 26

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Observation 1606461e-c477-460f-a6e5-404b18cba3f5 · outbound

This paper cites Segment anything.

SAGP: Semantic Affordance-Guided Grasp Planning via Coarse-Zone VLM Reasoning Segment anything

Reference 27

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Pith citing papers

No inbound Pith citation observations are available.