Paper Citation Record · LEDGER

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.20547.

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

pith.paper-citation-record.v1
2508.20547 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:47:20.150568Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy23
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38f9b0e6-66b5-46b0-a1ea-b93eb7bcfa30 · outbound

This paper cites Antipodal robotic grasping using generative residual convolutional neural network,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Antipodal robotic grasping using generative residual convolutional neural network,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.645257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 894b4d17-3623-431d-8639-48051ca539c9 · outbound

This paper cites Multi-agent Embodied AI: Advances and Future Directions.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Multi-agent Embodied AI: Advances and Future Directions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.011250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79582018-aeee-4af3-9f3f-eaa3525a2717 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes SAM 2: Segment Anything in Images and Videos

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.016454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76454f08-ea1b-4776-82d5-8878d89a73d7 · outbound

This paper cites Pluralistic salient object detection,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Pluralistic salient object detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.631752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2beb885d-b9fa-4331-bd72-b160169d5691 · outbound

This paper cites Motion consistency model: Accelerating video diffusion with disentangled motion-appearance distillation,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Motion consistency model: Accelerating video diffusion with disentangled motion-appearance distillation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.618823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1286fe1-815b-4483-b599-bf0f73437246 · outbound

This paper cites An overview of 3D object grasp synthesis algorithms,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes An overview of 3D object grasp synthesis algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.605770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abc599b5-bf7f-4fd9-bc19-3353ec6d9c16 · outbound

This paper cites Universal Visuo-Tactile Video Understanding for Embodied Interaction.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Universal Visuo-Tactile Video Understanding for Embodied Interaction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.035585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95a15005-ecf1-455d-84e3-3af1946285ab · outbound

This paper cites ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.039915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fcd8986-fb57-4cd5-89ca-d46a80043d82 · outbound

This paper cites Dgbench: An open-source, reproducible benchmark for dynamic grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Dgbench: An open-source, reproducible benchmark for dynamic grasping,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.592633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4423a683-4491-4f8f-882c-c14fa752aac0 · outbound

This paper cites MotionGrasp: Long-term grasp motion tracking for dynamic grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes MotionGrasp: Long-term grasp motion tracking for dynamic grasping,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.579436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03a64e1b-ad60-419e-bae9-5b568998f8fc · outbound

This paper cites Target-referenced reactive grasping for dynamic objects,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Target-referenced reactive grasping for dynamic objects,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.565710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 455d24a8-7cd3-430a-a231-2245da838fea · outbound

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

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.552538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64ca04c5-67a8-4b38-a14b-c349de05ab5c · outbound

This paper cites Segment anything,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Segment anything,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.539142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 858d28ba-288b-440d-b62b-4cee9a10e0d1 · outbound

This paper cites RoG- SAM: A language-driven framework for instance-level robotic grasping detection,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes RoG- SAM: A language-driven framework for instance-level robotic grasping detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.525681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d36868d1-bc2c-40af-a00b-5a90d715a083 · outbound

This paper cites Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.069029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b081dd8-a2e9-4c40-9cac-6d3197ff8360 · outbound

This paper cites GraspNet-1Billion: A large- scale benchmark for general object grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes GraspNet-1Billion: A large- scale benchmark for general object grasping,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.511559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95f79902-83e9-4279-b763-888cf1291c2b · outbound

This paper cites Dynamic grasping with reachability and motion awareness,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Dynamic grasping with reachability and motion awareness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.498485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a720835-a490-4961-ac77-a5bde6b30d67 · outbound

This paper cites Object-independent human-to-robot handovers using real time robotic vision,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Object-independent human-to-robot handovers using real time robotic vision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.485045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16e1fb37-d25e-4e58-bada-9233e513f68b · outbound

This paper cites YOLOv3: An Incremental Improvement.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes YOLOv3: An Incremental Improvement

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.085945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cfd87a1-adc1-4973-87c7-59f50a2c6a67 · outbound

This paper cites EdgeYOLO: An edge- real-time object detector,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes EdgeYOLO: An edge- real-time object detector,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.471783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29a936cc-853d-4092-a840-f971c6ff807a · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Learning transferable visual models from natural language supervision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.458052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f88e9374-87b8-4ec0-9ea4-6721b6e0ad75 · outbound

This paper cites Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.099734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81836e2f-2d59-418f-8642-97b8defbf040 · outbound

This paper cites Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-15T16:47:20.235512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9955be3-05ba-401b-a11a-0bdd0b12c587 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.108264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafa29d5-0d70-4975-af4c-25b5efe1aa05 · outbound

This paper cites A real-time robotic grasping approach with oriented anchor box,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes A real-time robotic grasping approach with oriented anchor box,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.445181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65b208df-9b10-492a-acde-9e23e02854b1 · outbound

This paper cites End-to-end trainable deep neural net- work for robotic grasp detection and semantic segmentation from RGB,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes End-to-end trainable deep neural net- work for robotic grasp detection and semantic segmentation from RGB,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.432068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2cccce0-722e-4daa-b4b6-3c1e85b3e80c · outbound

This paper cites Jacquard: A large scale dataset for robotic grasp detection,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Jacquard: A large scale dataset for robotic grasp detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.418060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d27de621-7f7f-42c1-b1dc-01e894e3c729 · outbound

This paper cites Instance-wise grasp synthesis for robotic grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Instance-wise grasp synthesis for robotic grasping,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.402653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a78e33c-34e3-4395-905c-e5ed04b37631 · outbound

This paper cites Real-world multiobject, multigrasp detection,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Real-world multiobject, multigrasp detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.389314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e283c99-d302-42c8-a101-f44648574b80 · outbound

This paper cites Learning robust, real-time, reactive robotic grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Learning robust, real-time, reactive robotic grasping,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.374301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9dfa82ce-1018-4832-8550-c17a92d3260d · outbound

This paper cites A semantic robotic grasping framework based on multi-task learning in stacking scenes,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes A semantic robotic grasping framework based on multi-task learning in stacking scenes,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.360168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 84dfe5a4-3c29-4601-99d2-3173394ecde5 · outbound

This paper cites GR-ConvNet v2: A real-time multi- grasp detection network for robotic grasping,.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes GR-ConvNet v2: A real-time multi- grasp detection network for robotic grasping,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:47:20.346455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 494be88c-cfba-4e78-8b27-54990cf733be · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.145802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adfc255b-513f-4636-9005-a2bfd85974f1 · outbound

This paper cites BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T16:47:20.150568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.