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Paper Citation Record · LEDGER

Toward Sim-to-Real Directional Semantic Grasping

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1909.02075.

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

pith.paper-citation-record.v1
1909.02075 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:04:27.499083Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8b441f5-749f-493d-9513-43d5a121e3c5 · outbound

This paper cites Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a multi-armed bandit model with correlated rewards,.

Toward Sim-to-Real Directional Semantic Grasping Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a multi-armed bandit model with correlated rewards,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.173819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1ab6266b-a890-4cdd-9404-8571a65fdd3b · outbound

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

Toward Sim-to-Real Directional Semantic Grasping Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.319103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.319103Z digest=sha256:594b0f17a4c7d48cffd044121e28fbbc5f8f25279bb29a3a961ce6a227b7c027

Observation 0345d0c5-5dc3-4c27-a347-07e31f7d5d79 · outbound

This paper cites Learning deep policies for robot bin picking by simulating robust grasping sequences,.

Toward Sim-to-Real Directional Semantic Grasping Learning deep policies for robot bin picking by simulating robust grasping sequences,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.151919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.323676Z digest=sha256:5a8ab64d367b333788a57a70e01087a03220560116a3e9c661982d76193c1303

Observation 115c2a23-cca3-44fd-b872-89430d1d7a19 · outbound

This paper cites Dex- Net 3.0: Computing robust robot suction grasp targets in point clouds using a new analytic model and deep learning,.

Toward Sim-to-Real Directional Semantic Grasping Dex- Net 3.0: Computing robust robot suction grasp targets in point clouds using a new analytic model and deep learning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.140011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.328353Z digest=sha256:22b0f2f81a2d2a03a2373968d1fafcdf21db52f001d663b3ae7a9b35497fb69e

Observation 41866d4f-2dde-46ec-84b8-8108d2abddec · outbound

This paper cites End- to-end learning of semantic grasping,.

Toward Sim-to-Real Directional Semantic Grasping End- to-end learning of semantic grasping,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.126703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.333259Z digest=sha256:544760af66e70758b31b73c6d68cb113868f8dfd5e42a608b9654b6ff9d72b81

Observation 22e027f8-6c3d-4b89-ad3e-74a8ff352d3c · outbound

This paper cites Human-level control through deep reinforcement learning,.

Toward Sim-to-Real Directional Semantic Grasping Human-level control through deep reinforcement learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.114662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.338309Z digest=sha256:0e04272324083cebcdb2cfd50e145552a3b4624bc55fa0ce8aba018529080119

Observation 0f4c9594-4ab8-49f3-8960-5649640df5d1 · outbound

This paper cites Continuous control with deep reinforce- ment learning,.

Toward Sim-to-Real Directional Semantic Grasping Continuous control with deep reinforce- ment learning,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.101917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.343087Z digest=sha256:790b4d170bb2aad7499fb0dd35e9f7ac3d5da6dbe27cee4ba45868d9745b5000

Observation 75f86fb0-ffab-45fd-aa99-2b2901fbc005 · outbound

This paper cites Deep reinforcement learning with double Q-learning,.

Toward Sim-to-Real Directional Semantic Grasping Deep reinforcement learning with double Q-learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.087307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.348491Z digest=sha256:41a0263043ea9423bf47ffe94c3cb504201e04c6102e3e7f2ccd4a7e8125ce51

Observation ba7474be-4a73-4d74-aaa8-3660d0e8a1e7 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting,.

Toward Sim-to-Real Directional Semantic Grasping Dropout: A simple way to prevent neural networks from overfitting,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.072434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.352486Z digest=sha256:bc12bae4dc7ecad9552956a22258364f3c56bbbcc051867ea59c96c469f45269

Observation 7167d678-922d-4260-90ee-722768d01780 · outbound

This paper cites Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,.

Toward Sim-to-Real Directional Semantic Grasping Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.057693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.356280Z digest=sha256:a4cd2da2c1c168d725b61ac026e128c47624a1b3c03a6bfaf36a40cd13f190ce

Observation 3aba4582-7ac7-4c82-9c52-4463887d6828 · outbound

This paper cites Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods,.

Toward Sim-to-Real Directional Semantic Grasping Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.042988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.360151Z digest=sha256:818b2c4131d4d9dc38a0c83aa4143a4cb875a7af30643ecf6227db3b5d4ab89e

Observation 0c0eaf41-faf5-4534-ad97-04375110b61c · outbound

This paper cites A tutorial on the cross-entropy method,.

Toward Sim-to-Real Directional Semantic Grasping A tutorial on the cross-entropy method,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.029376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.364273Z digest=sha256:98679e7517bd5d142c2685a7bd677546f3e8f65d74f360e2bddbd5b005bc0fd5

Observation 011e2176-4c5c-4c72-911d-bfb4f2bc21f3 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Toward Sim-to-Real Directional Semantic Grasping Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.368175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.368175Z digest=sha256:3e2784f4db5558fb32781d6b46a65a33c82f374f2c5a986c096ee22cdfbe12ef

Observation e659e094-c36f-4deb-ad6c-ce1f4eb44e6f · outbound

This paper cites Deep object pose estimation for semantic robotic grasping of household objects,.

Toward Sim-to-Real Directional Semantic Grasping Deep object pose estimation for semantic robotic grasping of household objects,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:28.007415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.372178Z digest=sha256:23bab49728153306c23c642c75a450407132c6f620df5d890e3ae45da608dfc1

Observation 09819cb9-6ecb-48c5-bcda-cde4638df818 · outbound

This paper cites MuJoCo: A physics engine for model-based control,.

Toward Sim-to-Real Directional Semantic Grasping MuJoCo: A physics engine for model-based control,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.993706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.376674Z digest=sha256:f6e42913781bdb2fbf594c2cf0a21406dffa90c9ef251cbb4802134edcc1c3d3

Observation eea35e8b-4c0f-4617-bd0d-99835584792a · outbound

This paper cites V-REP: A versatile and scalable robot simulation framework,.

Toward Sim-to-Real Directional Semantic Grasping V-REP: A versatile and scalable robot simulation framework,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.977794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.380380Z digest=sha256:889caf4b9b4eacfe58080b20041f8da5a1dc2e2d42741666fe780b6426967fef

Observation 0250fd84-80ba-4f6c-8ce2-5997deae0b51 · outbound

This paper cites PyBullet: A Python module for physics simulation in robotics, games and machine learning,.

Toward Sim-to-Real Directional Semantic Grasping PyBullet: A Python module for physics simulation in robotics, games and machine learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.962153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.384412Z digest=sha256:419eb7807e91adc62c6a1008b94a0103372f1134fcf8862a95c371774105730f

Observation e4fd5d3f-ca11-45a5-a7c6-55edb83d28b6 · outbound

This paper cites Unity: A General Platform for Intelligent Agents.

Toward Sim-to-Real Directional Semantic Grasping Unity: A General Platform for Intelligent Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.387793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.387793Z digest=sha256:9412bef23aca444d6982d8e9ce837e23e8cf50f4125ad7c40ba0fb9b47340eec

Observation 7df05614-0b89-4b1a-9c0f-aae774cfd280 · outbound

This paper cites Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX,.

Toward Sim-to-Real Directional Semantic Grasping Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.948269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.392355Z digest=sha256:c4d9676c1afcb9f48661622c26dded13820c11b9a53c90892b75c0ef32e173b7

Observation a9e3073f-cad0-42a7-85c2-4d386f3f1817 · outbound

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

Toward Sim-to-Real Directional Semantic Grasping The YCB object and model set: Towards common benchmarks for manipulation research,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.934322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.395530Z digest=sha256:f294471123cef3546780e7290beaafe4f5220df5f981f71b98a05abed15ef727

Observation 2dc2009b-faa3-4616-bae4-39db0f4d360f · outbound

This paper cites Benchmarking in manipulation research: Using the Yale-CMU- Berkeley object and model set,.

Toward Sim-to-Real Directional Semantic Grasping Benchmarking in manipulation research: Using the Yale-CMU- Berkeley object and model set,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.916998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.398910Z digest=sha256:92456c8fdbfb4b53de389746543c85bc9623e1d5adc8ac8facdcc9f9270951f8

Observation 02036b62-f72b-4229-9f27-929fefdd5934 · outbound

This paper cites Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach,.

Toward Sim-to-Real Directional Semantic Grasping Closing the loop for robotic grasping: A real-time, generative grasp synthesis approach,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.402505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.402505Z digest=sha256:11d218f8c8ab815219174878b670c509f5ed98bca3429ded49bed144d05ade3f

Observation a47ee608-d06b-4478-8d44-4de97a1352df · outbound

This paper cites Cartman: The low-cost Cartesian manipulator that won the Amazon Robotics Challenge,.

Toward Sim-to-Real Directional Semantic Grasping Cartman: The low-cost Cartesian manipulator that won the Amazon Robotics Challenge,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.893066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.405919Z digest=sha256:02e3dd3eee5415425d83e82c9565906892dec993c8fdb09efb5211007acbd545

Observation d2395efb-c3d1-4a06-b76b-32be10ce72eb · outbound

This paper cites Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Toward Sim-to-Real Directional Semantic Grasping Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:04:27.629156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.409996Z digest=sha256:7c36c8b8cebc5d7f3f4aa170a55120543c03c24a6c6c46a4bb82c497576fa516

Observation d2743101-76f6-4a9f-8054-77dd97751eaa · outbound

This paper cites Using simulation and domain adaptation to improve efficiency of deep robotic grasping,.

Toward Sim-to-Real Directional Semantic Grasping Using simulation and domain adaptation to improve efficiency of deep robotic grasping,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.880701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.414082Z digest=sha256:27c90f3cf45c318aa9a9e2216cfc929d4f09e08c433cecb5053f06b818c893af

Observation 272df56b-e03b-4920-8b93-4923b7a69d59 · outbound

This paper cites Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies.

Toward Sim-to-Real Directional Semantic Grasping Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:04:27.607218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.418150Z digest=sha256:0d7cde550241d9827f3de8b55e03b435a5280d1534e93c24722447e521fe3497

Observation d56d332b-9e3e-4e19-bee7-c514925c6252 · outbound

This paper cites Sim2Real viewpoint invariant visual servoing by recurrent control,.

Toward Sim-to-Real Directional Semantic Grasping Sim2Real viewpoint invariant visual servoing by recurrent control,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.867579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.422528Z digest=sha256:2c662ff10c7359ddeef20f01019d343f2553c9055e6f2862a57322f6ccb70a7f

Observation 91ac2ad4-897d-45bf-ad22-a73b4d112301 · outbound

This paper cites Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task,.

Toward Sim-to-Real Directional Semantic Grasping Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.852196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.426370Z digest=sha256:fefdfe0c0870f91542650e7368c2a34d6e7493039d1bce007542ec6e7720e618

Observation f21ddd97-616a-4e89-a884-e6e1f03f6f0a · outbound

This paper cites Sim-to-Real Reinforcement Learning for Deformable Object Manipulation.

Toward Sim-to-Real Directional Semantic Grasping Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.430206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.430206Z digest=sha256:8955ceff9f99fb60c5c46c218729b4a82d2792cd4e135f5e9c1ca25101124dda

Observation 232b6e71-5cd1-4592-8366-601241bcbb41 · outbound

This paper cites Sim-to-real transfer of accurate grasping with eye-in-hand observations and continuous control,.

Toward Sim-to-Real Directional Semantic Grasping Sim-to-real transfer of accurate grasping with eye-in-hand observations and continuous control,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.828920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.434856Z digest=sha256:b13b054b6086376fd1659983c1c862982a396e9652f8f4dc3d29cf7683457f9b

Observation a35d84fc-bd2a-4095-8c41-d82b1a4ad3f2 · outbound

This paper cites Learning a visuo- motor controller for real world robotic grasping using simulated depth images,.

Toward Sim-to-Real Directional Semantic Grasping Learning a visuo- motor controller for real world robotic grasping using simulated depth images,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.814325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.438741Z digest=sha256:7b04f6c3c0e4fe321e34cddc90709c2240f1263330ea913b672628348777af57

Observation ced256fb-a775-4d9b-a65d-dce23b5f1b37 · outbound

This paper cites Experiments with hierarchical reinforcement learning of multiple grasping policies,.

Toward Sim-to-Real Directional Semantic Grasping Experiments with hierarchical reinforcement learning of multiple grasping policies,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.800515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.444662Z digest=sha256:98783e066a3ae7354101a21d124ef2c98995a5301e048b18cb1a134ef253e587

Observation ea65ed59-f713-4da4-bc6d-0961e7a29c6d · outbound

This paper cites Learning task-oriented grasping for tool manipulation from simulated self-supervision,.

Toward Sim-to-Real Directional Semantic Grasping Learning task-oriented grasping for tool manipulation from simulated self-supervision,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.786267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.449126Z digest=sha256:11b1dc47eb369aaf175215fc965777af6eeb0473876e38c9b6db859abf71f848

Observation ff564b50-83f1-4fca-a631-10161b63c6d6 · outbound

This paper cites The MOPED framework: Object recognition and pose estimation for manipulation,.

Toward Sim-to-Real Directional Semantic Grasping The MOPED framework: Object recognition and pose estimation for manipulation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.771820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.453556Z digest=sha256:31ed3b7431c80647208983ba65800f6db11d0ac7408477308810b3be19495786

Observation 4de636c1-2ec7-41ff-87cf-e4e803752a8c · outbound

This paper cites SimTrack: A simulation-based framework for scalable real-time object pose detection and tracking,.

Toward Sim-to-Real Directional Semantic Grasping SimTrack: A simulation-based framework for scalable real-time object pose detection and tracking,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.756775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.457633Z digest=sha256:692d5c830c9d02091e0f258817613c470536e4359abd814d0fa09d33a673e9e0

Observation 8d85a34b-4a97-4196-b558-c19368e072c6 · outbound

This paper cites Goal-directed robot manipulation through axiomatic scene estimation,.

Toward Sim-to-Real Directional Semantic Grasping Goal-directed robot manipulation through axiomatic scene estimation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.742915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.461695Z digest=sha256:50b5245c40121efaa0eac139664616bbd7ddbfa783953a7414f6fe8831a13f1d

Observation 78b8a928-e8d4-47ae-bedd-5eee1cc7fabf · outbound

This paper cites Semantic robot programming for goal-directed manipulation in cluttered scenes,.

Toward Sim-to-Real Directional Semantic Grasping Semantic robot programming for goal-directed manipulation in cluttered scenes,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.726949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.466166Z digest=sha256:4fbfdfd9a6e58290698e370169396f4641a09d8d9ad39feff3a9b91f7df3d10d

Observation ddff38fe-ab4f-428c-ab48-edba3553b0d2 · outbound

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

Toward Sim-to-Real Directional Semantic Grasping ShapeNet: An Information-Rich 3D Model Repository

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T05:04:27.475389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:04:27.475389Z digest=sha256:75ac192e2a65faa6a8e52f00b5174f97649432d7f535d8fc971f9410c7d78061

Observation 690687f5-0581-43ab-a619-2cf1b5311f6f · outbound

This paper cites Beyond PASCAL: A bench- mark for 3D object detection in the wild,.

Toward Sim-to-Real Directional Semantic Grasping Beyond PASCAL: A bench- mark for 3D object detection in the wild,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.710056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.483256Z digest=sha256:c6ee69b77b48ffae8b24524806002ed1fa0cb3c794430cb9601714edabd49188

Observation 1921782e-a65b-45f0-b8c4-c4862e0ebdf3 · outbound

This paper cites Mechanical search: Multi-step retrieval of a target object occluded by clutter,.

Toward Sim-to-Real Directional Semantic Grasping Mechanical search: Multi-step retrieval of a target object occluded by clutter,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.695688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.488243Z digest=sha256:d68fed1aa18a36afd02507a1bf8d978909e089e8506903fade0548bc6ed8077d

Observation 271bbc40-9d55-4ae1-a11e-a28371300dff · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Toward Sim-to-Real Directional Semantic Grasping Mastering the game of go with deep neural networks and tree search,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.680436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.493779Z digest=sha256:aea4c2e22e3db9baeed67def23faff1effc58562c1f0cc4478e89870184c1d47

Observation 7ca66614-1bec-4dd0-9399-887e643311c2 · outbound

This paper cites 3D simulation for robot arm control with deep Q-learning,.

Toward Sim-to-Real Directional Semantic Grasping 3D simulation for robot arm control with deep Q-learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:04:27.665567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:04:27.499083Z digest=sha256:35ba67188d81317df11242626eccc7db6fbc44ebb9b3ac5f8fba4ab3d6131263

Pith citing papers

No inbound Pith citation observations are available.