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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 2026-08-15T06:32:42.880941+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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.005865Z digest=sha256:45e836d2a3d0b5cb1c227244c06dcf5b1adaadadd502abe6094b5e6cc142ecd4

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

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source=pdf_text observed=2026-08-15T16:47:20.011250Z digest=sha256:a80147d55cd8eba8f0e3d0dedeba5bbe7dd6828191299ac090e7b671d5bd04f7

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

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source=pdf_text observed=2026-08-15T16:47:20.016454Z digest=sha256:810be96c3e70bb122f3b650255438528c6fe63a857880e3056d2f1e7c65e230f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.021186Z digest=sha256:e88e3f1cc169bc6cb269b9c81a842df560fb22aa0f194de4b67de00342dbf9f1

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.025791Z digest=sha256:6ea2438c0049f65171db4b562256a080ba5320a6433eff9b059273be363338d6

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

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source=pdf_text observed=2026-08-15T16:47:20.030508Z digest=sha256:b7fcb964f5ee8ad507ef9406b8cf62243e7a88c9c0dfb35dcd633acfc616c5a6

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

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source=pdf_text observed=2026-08-15T16:47:20.035585Z digest=sha256:df19e370b439716324ff3b75fed421fd9459e35906547f52abbfe23bf1855bbb

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

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source=pdf_text observed=2026-08-15T16:47:20.039915Z digest=sha256:89b4103bee6adcb41a6aa1e18119080ce0dd0aae78b167c86a66091834d70d04

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.044548Z digest=sha256:11caacd39afe872cc1012531edfeaa97785cfa736d40d6f4b8a97ff676855ca9

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.048611Z digest=sha256:b538f1d0c616113376ccf98cc22fc5cf00802516591d52963286da898b86f609

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.052730Z digest=sha256:1062b9a7e99769c6e0163d8952d2249eae6f0ea320b15b0f5ecc86ff7baac213

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

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raw_fallback, observed 2026-08-15T16:47:20.552538Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.056792Z digest=sha256:d627d08efac65d6e715005d1e216360b16e75ea11757ee6ae6f55e2ff21e76a9

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.060881Z digest=sha256:aa40fd046ab65ef67d3a01c87490b0821bec3711536c3f7828fd2fdbc27f0f68

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.064804Z digest=sha256:31daac4492ed6432b130945ba780162a7efa8016f06584b64dc2aed557525b27

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

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source=pdf_text observed=2026-08-15T16:47:20.069029Z digest=sha256:c7b1eccfecb8dc5ced6e36ffae10f0f52e26d3ff0aa88fac93d2b7bb4b604d1a

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.073582Z digest=sha256:80754be24f9a5dcff7f0d71bf3d47fe6e875224c318188c5c833da2acd90f0fc

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.077615Z digest=sha256:7905d158607ade71e1d8a841427f07aacbe39035ca64e7056d450f9831b2416c

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.082030Z digest=sha256:d64271b59af59d961716a0765df0b0e2934c76577ae1e7ad4967b9c9c0a88a8e

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

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source=pdf_text observed=2026-08-15T16:47:20.085945Z digest=sha256:7d1307d72a999bb19535df5c952de24ed67019659e539d7fe4bbe51f50d0934e

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.090799Z digest=sha256:d32380d524740c1257b7dd89f17e71e35590174836ae5af687862ede2aa1040c

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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.095588Z digest=sha256:a7416fd307179add4cc21d87d8598df589dbc3326f600aa8cf28dadc3f5a7553

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:47:20.099734Z digest=sha256:85646837190c7b92bf3c85f79a2fa66b573db627fcf7074683f183b6a08e41f0

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

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local_arxiv, observed 2026-08-15T16:47:20.235512Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.104095Z digest=sha256:0c165375502564f7336ff25f124e65ba2991d0e23050aeba4ad3b695483951c6

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:47:20.108264Z digest=sha256:1ede15406e8640dc1e4380f6130456dbb35fe1b146ec00b66e0a8cac1e4e9a3b

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.112492Z digest=sha256:00cc63f2211bacd6b835bc9ed88bcc07d702ae54c58df81f61c064f4eea8fc64

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.116486Z digest=sha256:a723b9df6ad040fcf477c9eafd3f4eca7d7ba46f1e3f6807f86463be5d9bcd5c

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.121129Z digest=sha256:5b75cc6c3f6829f6cafbcc8015cfd9d9f3c979a9352be97643c290ccb0e3174c

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.125090Z digest=sha256:95c8eff0c1acd6be101e74dea9475f26abda0144e6ea332a448c62bfd2ee9d48

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.129684Z digest=sha256:6d5206f3e8675aadb0dccc7b3f45bc849fdc799d94dd69527416b43d2780a4d9

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.133895Z digest=sha256:4e2cc289c444098ca7df158ec60bc6a0bf782b460d5c5b69f573eccfea50a5dd

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.137755Z digest=sha256:7529269dec7e83a9a81716079073e93499e92516c41b638514f7a43e27a948f8

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T16:47:20.141822Z digest=sha256:1d599c99d80bc29dd7ec4734ad8b2cbba0363243a50c9e5acffa4b77567bc76d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:47:20.145802Z digest=sha256:269b4847108bf1118ee5b058b6fb1c47942097bb2810f8911083656eeea73bbc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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