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Paper Citation Record · LEDGER

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

As of 13 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 6 inbound Pith citation observations for arXiv:2412.08468.

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

pith.paper-citation-record.v1
2412.08468 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:50:17.695217Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:27.315080Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:09:37.800286Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved20
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de8fafee-2940-4276-a72b-ba20588fc769 · outbound

This paper cites GPT-4 Technical Report.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-11T17:50:17.220142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.220142Z digest=sha256:e397a12d4c35b45fd81f488ec53dd262d661abeb5b11f1a3b90ce8d0813bc4c3

Observation 6c731b5b-1f25-4dcc-bdc3-6a32d429ee4b · outbound

This paper cites Dexterous hand series.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.944459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.226283Z digest=sha256:5ea0f0d50c6dbf74eff1776b3033b53de66ac13f28329db0e42512be988f5ff1

Observation 251e9f3e-f154-498d-b7a8-87758380bf37 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 3

Resolution
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no resolver link, observed 2026-08-11T17:50:17.232510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.232510Z digest=sha256:e60d5ab9cbe9a9d87b762ea93dba0c18c5bee5fd0baf771cf1f8108bc396b6a6

Observation 04a07e92-92fa-43b2-b85d-ef9a45c78aab · outbound

This paper cites Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.923610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.242107Z digest=sha256:963d72c7b4895d989b74530e696edae8cd9d0dbbcaef92e929cc489311468910

Observation f38ae47c-8247-4372-9a77-357075645662 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Gonzalez, Ion Stoica, and Eric P

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.903434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.248399Z digest=sha256:3e9e4c246082b20cfda42d6c7e934beeae971e2e8c425f7da3cd577f48c9d228

Observation 3703d94d-3550-4d6e-b80e-a9ff4e0b8640 · outbound

This paper cites Acronym: A large-scale grasp dataset based on simulation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Acronym: A large-scale grasp dataset based on simulation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.882412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.255116Z digest=sha256:67c7a10999c3446d0a42d2ba7a325f1271160813092e7cd9085fc4789652de56

Observation 50acfc06-6154-4846-9ad0-8f0c94070f47 · outbound

This paper cites Franka emika robots.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Franka emika robots

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.858760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.264174Z digest=sha256:57ba2c9df248912c0fac4803ecdc0cfe7784b4ea5ab9ced98c90497f8310bc16

Observation d2ac4dcb-62da-4614-9ea7-411841b10c01 · outbound

This paper cites An embodied generalist agent in 3d world.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation An embodied generalist agent in 3d world

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.840178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.274219Z digest=sha256:1c23b7e31f7910b9bbc5cc4d445caec92bd60b738ed190aeb48db928f7a27990

Observation baab2a18-8947-44ea-952c-a7a2837d5683 · outbound

This paper cites Diffusion- based generation, optimization, and planning in 3d scenes.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Diffusion- based generation, optimization, and planning in 3d scenes

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.820022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.281177Z digest=sha256:77767eeec042134178327b7ba78356e11fa5f126e3baf357a4d1d4d3f2dfa704

Observation 32dda27b-fef3-402c-9b20-7e42e60a7acf · outbound

This paper cites Openclip.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Openclip

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.801808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.287914Z digest=sha256:80eb8f288ae85aea3fa56308cdca4c9ce104b8e5dffebf651716ca05ea659a25

Observation 523ba92d-79d7-484a-a038-92c51b266558 · outbound

This paper cites Dexterous hand series.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.782757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.295625Z digest=sha256:e0cd31ec09fcf200b499c01952073ba083e1a5a44120abf313780007d5c15a34

Observation e13f26e2-ff39-4471-93f5-972efdc42e37 · outbound

This paper cites GraspSplats: Efficient Manipulation with 3D Feature Splatting.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation GraspSplats: Efficient Manipulation with 3D Feature Splatting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.307798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.307798Z digest=sha256:23c0fbbe892ebecfeced16fb26f14b10dce215834253a291e96d215b4c39affe

Observation 462d9fb8-40ef-4da0-bca4-24f08c9671a3 · outbound

This paper cites ADriver-I: A General World Model for Autonomous Driving.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation ADriver-I: A General World Model for Autonomous Driving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.317690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.317690Z digest=sha256:6a84c793c730d0fb7138b97858c5002da145c748d6010cbf32c28a271fb7cae9

Observation 04c23f2f-06ee-4d2c-94ef-33ac15cdd212 · outbound

This paper cites Hand-object contact consistency reasoning for human grasps generation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Hand-object contact consistency reasoning for human grasps generation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.765838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.327104Z digest=sha256:59b8f15af45115755d9a11e0baa957af381b2e7536769da00680b4d60eadf8de

Observation 9b4cfa91-5b1e-4222-8d97-9c9e72dd6785 · outbound

This paper cites Reasoning Grasping via Multimodal Large Language Model.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Reasoning Grasping via Multimodal Large Language Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.335611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.335611Z digest=sha256:5d69fe725cac606b4e6f13869b203a342a222148b8ffcf164c5de16abd081a6a

Observation ddce55f9-0bd1-4a57-a1f6-506ada01ec20 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation 3d gaussian splatting for real-time radiance field rendering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.344101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.344101Z digest=sha256:d29cb0b145f5f5a6c962fc950d4b0f9b189cb1d7aeda95698120f12a78c3c6b5

Observation bfb64fe6-fdfb-4ecf-be75-7bc432b1c069 · outbound

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

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.350773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.350773Z digest=sha256:8532bb2864cd34d0bea00334da7e7f93c3e1a7ff0c47c2626758090a69f8a58d

Observation f246fc0f-56c1-45eb-919a-e0a2f1172ac1 · outbound

This paper cites Semgrasp : Semantic grasp generation via language aligned discretization.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Semgrasp : Semantic grasp generation via language aligned discretization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.738880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.358934Z digest=sha256:539b972e9935f8c992845e8d9fbbaf9fc4d5ad80bcc1a390dd2b11b8c10f3d12

Observation 34ce7d97-b5ed-4317-be10-aea8776ae9c0 · outbound

This paper cites Gendexgrasp: Generaliz- able dexterous grasping.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Gendexgrasp: Generaliz- able dexterous grasping

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.722759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.367679Z digest=sha256:57830eae91183e8c6010e2684f7c641a879f9dca5d9ade69484cae41b7e9624b

Observation c86a8974-4caf-4e08-8327-3373ef66d6e2 · outbound

This paper cites Vision-language foun- dation models as effective robot imitators.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Vision-language foun- dation models as effective robot imitators

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.704751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.380887Z digest=sha256:841ab4a51f68e5b06e64f840864d6a49016fbd2f946fcec427d61e5a75dae5fe

Observation aac6a35a-4e24-4a47-80a8-6eb414e9e585 · outbound

This paper cites Visual instruction tuning.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Visual instruction tuning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.682788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.388032Z digest=sha256:e25af82c778b5a067fd986cd21e36eeafc84b0d0fc2befe9db8e5de68221610b

Observation 6b034639-9ce5-4fca-9609-23ed95d80b72 · outbound

This paper cites Synthesizing diverse and physically stable grasps 9 with arbitrary hand structures using differentiable force clo- sure estimator.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Synthesizing diverse and physically stable grasps 9 with arbitrary hand structures using differentiable force clo- sure estimator

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.664833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.394704Z digest=sha256:73c3b01ef5d01e06229c8480e18f290fa6331608c8009d6f5d28af1bb6b8f6ec

Observation 072f4eec-05e6-479a-92e2-10fa14987d08 · outbound

This paper cites Re- aldex: Towards human-like grasping for robotic dexterous hand.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Re- aldex: Towards human-like grasping for robotic dexterous hand

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.646454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.401255Z digest=sha256:693f0826d60d7bee81da9bdbf95f536c48df16a72c5977e9e792245c63057f14

Observation a21d1b91-6d24-4d30-b6af-16f5c156c708 · outbound

This paper cites Isaac gym: High performance GPU based physics simulation for robot learning.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Isaac gym: High performance GPU based physics simulation for robot learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.625390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.408303Z digest=sha256:d7b7496f5d174a69fe3f1c5ec6f2a7fbe8292a9f1300933e79f3604636c3d823

Observation 21baa6e2-fcc6-42d3-a424-a7b365f542a0 · outbound

This paper cites RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.417339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.417339Z digest=sha256:4561b5ad3528fdbf4c7c1d304e6ee8661497145ce461293b0ef5fcbaaa5d0494

Observation 3a72a001-4f85-4341-9912-ba29761b27a9 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.425319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.425319Z digest=sha256:506e36543df4bbd62b71251a7a17ce6deddaa765fc579461c4144a4c841d14ae

Observation 36337b08-5057-4ef7-b83c-da9f7d73c19b · outbound

This paper cites Graspit! a versatile simulator for robotic grasping.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Graspit! a versatile simulator for robotic grasping

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.596519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.435506Z digest=sha256:6ebbe889a62c6538067d88faa8903e8c0cbb83ba70b45c5374bb902756ce1934

Observation ea240f88-e2e3-4b9d-8c8f-22b27abb65ff · outbound

This paper cites 6-dof graspnet: Variational grasp generation for object manipulation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation 6-dof graspnet: Variational grasp generation for object manipulation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.578727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.445485Z digest=sha256:de3a0fce463660ec76fd2b8b49d12bdf90752090dcdd885c6d81f8dff4667f49

Observation 74f5bd18-119c-4a11-88bf-ca83a3ea5a0d · outbound

This paper cites MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.454452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.454452Z digest=sha256:2b93ce04c25877c7add7e54f3a5e00de81fd4acb173d09c9435cddfc4f4fb7d3

Observation face9710-ff7c-4b64-9090-5bd78f1ba4fd · outbound

This paper cites Kaolin: A pytorch library for accelerating 3d deep learning research.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Kaolin: A pytorch library for accelerating 3d deep learning research

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.562224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.462856Z digest=sha256:b04b6f19de2b5e5e1be3779ac7456d1439cbe4b93a6f10923d7e9139366d883b

Observation 9799fa94-9887-40c3-9b9e-3b0480781a82 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.473271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.473271Z digest=sha256:782fc6a54fb36e5450d3fe38f380508630ff6ad81b4b21395f1daafebfce2dcf

Observation 87e29218-f21b-4f37-9722-8c9490f63e1c · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.481060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.481060Z digest=sha256:6003b8d6198dac306a5bacab4bc662ab089955c13f14e29cb1275ef97483a08e

Observation 01551d49-fa89-4161-82d9-0a76fe0ca2e9 · outbound

This paper cites Affordancellm: Grounding affordance from vision language models.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Affordancellm: Grounding affordance from vision language models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.487652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.487652Z digest=sha256:0606710e72864ed088f9789e5f9ecc6867f99ef87736e518f7091ae021020484

Observation a6cd471f-b14f-4c05-a900-c8cb9497c26a · outbound

This paper cites Language embedded radiance fields for zero-shot task- oriented grasping.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Language embedded radiance fields for zero-shot task- oriented grasping

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.509374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.495649Z digest=sha256:97365f127cc40e75af6a7df93835f6f734be73da6067c0c46d0d85d69df9d87c

Observation 26521f8f-f68e-4a03-b3f4-cad12a7888e7 · outbound

This paper cites Pytorch3d.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Pytorch3d

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.492638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.502724Z digest=sha256:7f6148fb64e3a5afa32ee49b7a5b4609e7b5eacc93bf3588c64c137ce9dbf4a8

Observation 12de712b-5702-4c6e-841b-944b34b9d6ea · outbound

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

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation SAM 2: Segment Anything in Images and Videos

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.508608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.508608Z digest=sha256:87d0bdb063f15c911cdb6b021a0ecdbf85705f627e6b38216f455fb1e90e9d91

Observation dbfd26ec-ad61-4a28-bdf7-99658ba62a26 · outbound

This paper cites Dexterous hand series.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.476594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.514681Z digest=sha256:6d8d909ec3db8255a0915f45d6087e4ab12e45b105ffdba915c9aef8220299ee

Observation 43e5dc8c-aacf-48f8-8cdc-a72e7885f5e1 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.459926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.520748Z digest=sha256:4b493c8baee488c5056709442108a21f9f425fdeb02700888e16e21d5d8ea0b2

Observation d4abd0cb-2922-452f-ad2e-d2963404cfcd · outbound

This paper cites Learning struc- tured output representation using deep conditional generative models.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Learning struc- tured output representation using deep conditional generative models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.444125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.526966Z digest=sha256:903e3c0e67b3c1b65b73cd8733abbe313c472c8467fc5fd8fb1523662ed6ac2b

Observation cb05b47f-55b8-484a-9339-98061ec8d1dc · outbound

This paper cites Contact-graspnet: Efficient 6-dof grasp gen- eration in cluttered scenes.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Contact-graspnet: Efficient 6-dof grasp gen- eration in cluttered scenes

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.426852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.532319Z digest=sha256:ef7ca2938042aab7fa001d063366d24ec1e6b70d2d3fe60507c35a7f357321b8

Observation 2267bb34-91e4-4f74-9183-6f5ec65e7a4c · outbound

This paper cites MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.538452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.538452Z digest=sha256:a0e0dd87d80ba69b21a17657e134c80bad99ae5b4479b205acf0e43231dd3558

Observation a7b136e3-1045-4a71-bb76-658a3927caba · outbound

This paper cites Gemini: A family of highly capable multi- modal models.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Gemini: A family of highly capable multi- modal models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.409874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.543781Z digest=sha256:304a8dbdaf9c859915d09bead54d601ecccf38fa8a12fe654dbbd7f8a69b407d

Observation db278de7-4bff-41dc-b36f-10bfa995b59f · outbound

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

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation LLaMA: Open and Efficient Foundation Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.549277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.549277Z digest=sha256:8560ca57042a76c671c4d280407f2df77e01a9e2902d6fbe9620bff9567560d0

Observation 14e171ba-4373-4960-afce-c9ad80630223 · outbound

This paper cites Grasp’d: Differentiable contact-rich grasp syn- thesis for multi-fingered hands.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Grasp’d: Differentiable contact-rich grasp syn- thesis for multi-fingered hands

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.392676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.557254Z digest=sha256:cb48f10625c8ff78abf9282b151b7d49ecc00931e3b3ac276b5403c585a2f95d

Observation 07d19bea-87ba-417d-9b37-9299979b9855 · outbound

This paper cites Fast-grasp’d: Dexterous multi-finger grasp generation through differentiable simulation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Fast-grasp’d: Dexterous multi-finger grasp generation through differentiable simulation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.373928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.563973Z digest=sha256:2740645356e9e7625c28d8763f4491fecb476972449522dfedea1681f39cb16d

Observation 11fdcafb-0991-4dc7-89b5-7290d6098c2e · outbound

This paper cites Neural discrete representation learning.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Neural discrete representation learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.355662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.569193Z digest=sha256:c20dd19281471cb447d9b3cea5255ed3366b89b69ae3b89d38c04255ab252b07

Observation 975feffc-c04e-451f-83ab-542ed59d3da1 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Open x-embodiment: Robotic learning datasets and rt-x models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.338604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.575236Z digest=sha256:2649bf834ef7c5d598ccbe019c09cd5b4adf47433196939010c0fa2a55d61136

Observation 642b1726-3fce-4c21-80ac-50ad40884c69 · outbound

This paper cites Dexgraspnet: A large- scale robotic dexterous grasp dataset for general objects based on simulation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexgraspnet: A large- scale robotic dexterous grasp dataset for general objects based on simulation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.322036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.581919Z digest=sha256:cee5e6b81341226f5400882880d3e5ee9406c5891c5c78c66e72fd48c2c83bc0

Observation 08c98341-c023-4a30-9cb6-b313b9bf11db · outbound

This paper cites Learning human-like functional grasping for multi-finger hands from few demonstrations.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Learning human-like functional grasping for multi-finger hands from few demonstrations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.290193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.594635Z digest=sha256:8d4bf2b8eb90426d485913ddf860d0a0e958a1d989291d063136143b6b6bf2ab

Observation e6c3ac3b-f85b-42bc-a621-4c027a4bd7c0 · outbound

This paper cites Approx- imate convex decomposition for 3d meshes with collision- aware concavity and tree search.ACM Transactions on Graph- ics (TOG), 41(4):1–18, 2022.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Approx- imate convex decomposition for 3d meshes with collision- aware concavity and tree search.ACM Transactions on Graph- ics (TOG), 41(4):1–18, 2022

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.272811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.600306Z digest=sha256:d9501bc8d75f7d9cce72868fc849f52748ddc17261f02261edccdc144118c566

Observation fbdc10a6-178d-4122-9877-50cc53d114d5 · outbound

This paper cites Grasp as You Say: Language-guided Dexterous Grasp Generation.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Grasp as You Say: Language-guided Dexterous Grasp Generation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.607944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.607944Z digest=sha256:488e4457a4f7d0d01f05bdf7384307486db0fa8d03c06695ec60c5058118f253

Observation 107b5bc4-7993-4e74-a60c-1a6bdb3f30af · outbound

This paper cites Allegro hand.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Allegro hand

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.255057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.615258Z digest=sha256:1650b01eb7ba9b71d46477a3afbc1cd3fb87a5eb886ec22b17ff46d4c4b1054f

Observation a0b41944-2dc6-45ad-a35d-af1c59cbf399 · outbound

This paper cites Deligrasp: Inferring object properties with llms for adaptive grasp policies.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Deligrasp: Inferring object properties with llms for adaptive grasp policies

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.237034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.621437Z digest=sha256:d64927b83fb3673839f4bdb6119bc44fa3268199dac85041454d24876619b6e8

Observation 9aa12026-91c0-4824-a27d-d678fd26cbb0 · outbound

This paper cites Dexterous grasp transformer.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous grasp transformer

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.218066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.629214Z digest=sha256:d38342d4e03406be5607f1d788905d91d7136795432883511d0cc7bdbcb9bf7c

Observation 2e6fcb6a-768b-474c-a8b5-d37ded0e86ce · outbound

This paper cites Reasoning tuning grasp: Adapting multi- modal large language models for robotic grasping.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Reasoning tuning grasp: Adapting multi- modal large language models for robotic grasping

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.200223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.634881Z digest=sha256:92157c69f12ab984196827fad00e169d258f7b27c27ea2b6a469e2b011148a9b

Observation 5a49c285-6c05-4a6e-95f2-7cde8fbe297d · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Pointllm: Empowering large language models to understand point clouds

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.181964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.641648Z digest=sha256:9bfb4ca341a28b5cacdfb3256bb69094dbf17ac3c299a541ce58faea30655b73

Observation b092f8a0-2e76-4af9-9c35-b1cc37bdc4d4 · outbound

This paper cites Oakink: A large-scale knowledge reposi- tory for understanding hand-object interaction.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Oakink: A large-scale knowledge reposi- tory for understanding hand-object interaction

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.159802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.648248Z digest=sha256:a8d0b5e2032f7141f34ef39f7c3381b387dfc34d5500353ab623ee1110ae0841

Observation f661fcb0-d72e-4941-a537-73cc4174114e · outbound

This paper cites ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.654132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.654132Z digest=sha256:01475fd3add1eeb112a75adedfa826de4c30fc3b51dd1b624fe31a5ea3d97aed

Observation 031af152-b191-42f2-980b-b3419bdc5824 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.142648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.659651Z digest=sha256:9ad2dd099f6b2b650a17c2400e8d5010ecef5ec8177544a81f6b2b7ea1baaa74

Observation 00bcb4ef-bdec-4f73-b57b-ea9256528070 · outbound

This paper cites Affordable Generative Agents.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Affordable Generative Agents

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.665623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.665623Z digest=sha256:a0c1457346bc0409f9eb98522e5fe03af709d41828fe436b30a3153299b44df0

Observation affbefd6-5b46-4a25-9789-2349a6bf8b5d · outbound

This paper cites Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.122086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.673004Z digest=sha256:689e1dba9f161ab0e21455e9992f3b6749de2c5939f7cae8843e48b1c14f32c1

Observation b53a63a6-0c04-43ff-bc83-d5acaa1dcbae · outbound

This paper cites DexGrasp-Diffusion: Diffusion-based Unified Functional Grasp Synthesis Method for Multi-Dexterous Robotic Hands.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation DexGrasp-Diffusion: Diffusion-based Unified Functional Grasp Synthesis Method for Multi-Dexterous Robotic Hands

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T17:50:17.680242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:50:17.680242Z digest=sha256:cdc33b8a052790e47b01f9d20e3f1fb25980b8bf6b1aee76e1f00382b2f58f57

Observation 6bd1e261-4ce0-4570-9e44-22b7d20d6311 · outbound

This paper cites 3d-vla: A 3d vision-language-action generative world model.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation 3d-vla: A 3d vision-language-action generative world model

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.104355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.689309Z digest=sha256:81c7e64b599950110fd1a1405a14852c6f1c24edec6314a552c83d87d2bd1a46

Observation 82dcb2c8-7b91-4e35-9a3d-595216e4930c · outbound

This paper cites object name.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation object name

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:50:18.079673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.695217Z digest=sha256:25c2ff854a32b4c9d1bada8b33108aa427041084532a8febd5ddeed82b4cb8fc

Observation 2924b4c3-716d-4b44-adf2-5145766705bc · outbound

This paper cites an unresolved cited work.

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Unresolved cited work

Reference 2023

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T17:50:18.305886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T17:50:17.587670Z digest=sha256:0f8450a34e44d5cf0dcf73e9fb57d3be00e57cc164bd274cfb0c5d0a4004eff1

Pith citing papers

Observation 31824d11-5009-4f46-a815-58f492c960c5 · inbound

DexVLG: Dexterous Vision-Language-Grasp Model at Scale cites this paper.

DexVLG: Dexterous Vision-Language-Grasp Model at Scale Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:27.315080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:29:27.315080Z digest=sha256:b34338d241b6d506056fe9a6bb5c33d7ef11374422045ce44895dae97e41b52a

Observation 2995ca76-b785-4736-9388-b3742b627854 · inbound

DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning cites this paper.

DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:07:50.681773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T12:05:08.804472Z digest=sha256:33f210c253f8e600fcf538447c7c497e9ad318200c9275d75cef022a08bc55c5

Observation 5490e653-a280-4aea-b4a7-bcac319560ba · inbound

SECOND-Grasp: Semantic Contact-guided Dexterous Grasping cites this paper.

SECOND-Grasp: Semantic Contact-guided Dexterous Grasping Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:42:37.179173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T18:40:41.280624Z digest=sha256:f8820669095bc5c08611b9fe9833335ff316f42cdc876300f251f91b6cce0500

Observation feae14b8-78b4-405a-a67e-bf11c84805e8 · inbound

R2HandoverSim: A Simulation Framework and Benchmark for Robot-to-Human Object Handovers cites this paper.

R2HandoverSim: A Simulation Framework and Benchmark for Robot-to-Human Object Handovers Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:09:37.802384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T14:44:39.161152Z digest=sha256:fd7f608d4cc663b80145eef960465a85c873b6c117cb8f9cbac1807aeceb23f0

Observation e7428d4b-0371-443d-a12e-e72bf6522711 · inbound

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 175

Resolution
unresolved
no resolver link, observed 2026-07-31T08:51:23.996407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:51:23.996407Z digest=sha256:c14a881428a950a714a130e93683ef70bca080546dcf62c1098f03bd37404576

Observation c9295256-683e-4b39-9f8a-5ca5f1a1e573 · inbound

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer cites this paper.

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-04T01:23:07.426974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:23:07.426974Z digest=sha256:170d9831df7528078445c6ac78ab5ef834fc4bf09990df8f144b4331750ca802