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Paper Citation Record · LEDGER

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.20748.

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

pith.paper-citation-record.v1
2607.20748 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:33:35.774473Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

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  • unresolved27
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbe33123-4da1-427a-b368-2292bea43999 · outbound

This paper cites 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T09:33:31.379241Z digest=sha256:6f34cc9a778477de1b06cf7ddd05fb4269b8e37053fbfd58dc323ea7d1bc15be

Observation 574189d7-369a-4be2-9a23-6c0ec56d3af9 · outbound

This paper cites Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks , pages=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks , pages=

Reference 2

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source=arxiv_source observed=2026-08-01T09:33:31.495787Z digest=sha256:10eb3486d0884ce51e562c3d9e2cbdd4e754150767783f823f484f58ceeb1012

Observation e540397b-95e7-4f98-8199-9f7305324235 · outbound

This paper cites Sixth international conference on computer vision (IEEE Cat.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Sixth international conference on computer vision (IEEE Cat

Reference 3

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source=arxiv_source observed=2026-08-01T09:33:31.657414Z digest=sha256:4eff89642dc2633f9b9efc1d46b54d9b3a6322c80f87325cd5582a0ab5d4827c

Observation 611e50c8-6681-4de5-99e9-54d49e4b77eb · outbound

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

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Open3D: A Modern Library for 3D Data Processing

Reference 4

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source=arxiv_source observed=2026-08-01T09:33:31.826300Z digest=sha256:ac6904336252b893f3eece884316634518b50b2ebf1788ef349d45dddfec3a4c

Observation a8773e44-5bf8-4f0c-9326-16959d6e0963 · outbound

This paper cites an unresolved cited work.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-01T09:33:31.999916Z digest=sha256:7bbd196ef275e2df2aa8db22c4977679cc026c40b70df1b8689c6391f3f53ee8

Observation 79825b11-c0b5-40e1-8d4c-c6275eda9028 · outbound

This paper cites Advances in neural information processing systems , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Advances in neural information processing systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-01T09:33:32.146159Z digest=sha256:a920ed1a5fa89d0fc9f52c1ad25fbeeefb2ce6db01a6d0806815ec046e26db41

Observation 0e992f65-5fe8-48ab-ae7e-db7ec409e203 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 7

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source=arxiv_source observed=2026-08-01T09:33:32.330802Z digest=sha256:a122d615b0493e1a2b901fee0c737fa9f3b919357144d0f1db66bc6c614d37c2

Observation 37edce79-dfde-4773-aed1-4fcdbe1037c2 · outbound

This paper cites IEEE transactions on information theory , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation IEEE transactions on information theory , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T09:33:32.574066Z digest=sha256:ed29f81e065ca4b83938f1081a2355e9a815b8d0db01616716e58d44728eda8a

Observation 76c1d128-fd91-4c8e-9014-dcb3f313d2da · outbound

This paper cites kdd , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation kdd , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T09:33:32.844753Z digest=sha256:f578c79fc7943f22025c801925684680166732f807481bfc56f02ee2649512df

Observation 8e9fc8f4-a988-4ae8-8323-f3754b06724d · outbound

This paper cites Energies , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Energies , volume=

Reference 10

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source=arxiv_source observed=2026-08-01T09:33:33.019549Z digest=sha256:4a7555cfbfb0f7dc170a94c4bc7075dabb48738f81b14588389d871b0add9cfa

Observation ab2726ca-c8d2-4ad7-bca1-d04bb0d016a1 · outbound

This paper cites ICRA workshop on open source software , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation ICRA workshop on open source software , volume=

Reference 11

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source=arxiv_source observed=2026-08-01T09:33:33.214426Z digest=sha256:0420d955e9a8dc92ec84cadec9adb15ca47eb846ee44ed2f9d0eabd3ea62fcfb

Observation 6dd6b414-1241-4c79-9c09-99e2458ee0d8 · outbound

This paper cites Applied Sciences , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Applied Sciences , volume=

Reference 12

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source=arxiv_source observed=2026-08-01T09:33:33.353511Z digest=sha256:0a0db915aeb513439a9090691def275a23e783f4f054fe328ee5fcc628e78fc8

Observation 13d802c3-0335-4461-bdee-e335ebdf987b · outbound

This paper cites Fragblast , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Fragblast , volume=

Reference 13

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source=arxiv_source observed=2026-08-01T09:33:33.510135Z digest=sha256:16465f16aec6af47dbebdf1cffeb8a0026fbc5839a7d0a03564acf80db9c57b8

Observation 552623be-b4e8-44d5-818a-ed599c5bbe9b · outbound

This paper cites Fragblast , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Fragblast , volume=

Reference 14

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source=arxiv_source observed=2026-08-01T09:33:33.700496Z digest=sha256:683cd609912e6fe9782a5de7cc89d35561c218a8557c621c85a33f0460b0647a

Observation 40170bff-8708-4772-8eaa-b2720a8fef6c · outbound

This paper cites Autonomous robotic systems , pages=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Autonomous robotic systems , pages=

Reference 15

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source=arxiv_source observed=2026-08-01T09:33:33.884197Z digest=sha256:41376dff97cf46b560d71e1b0ba58c40c002cdbe2de5dd7c85043903a85e0216

Observation 59744958-ff58-431a-8b35-6c770b42c116 · outbound

This paper cites IEEE Robotics and Automation Letters , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation IEEE Robotics and Automation Letters , volume=

Reference 16

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source=arxiv_source observed=2026-08-01T09:33:34.044342Z digest=sha256:db37eccadd89d351bacc5b928cd85c9f4fecf02ab168398b358d9b7089d214b3

Observation 433d5f57-8ed5-4983-9ad4-bd316500ad66 · outbound

This paper cites arXiv preprint arXiv:2601.07813 , year=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation arXiv preprint arXiv:2601.07813 , year=

Reference 17

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source=arxiv_source observed=2026-08-01T09:33:34.154796Z digest=sha256:0cf83f4d5b1d5c41cbad9c73a9b9bf983e5aab785f92e80035b5e386cd7fc2a4

Observation dda48d32-de4e-4404-8414-0c007cc9ed91 · outbound

This paper cites 2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP) , pages=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation 2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP) , pages=

Reference 18

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source=arxiv_source observed=2026-08-01T09:33:34.328887Z digest=sha256:ef92b83ad0dec6b971e6c2cd7351d031ba8ce3ce5657db5347d8b02b49092b23

Observation ec75dbc1-f8b3-4cbe-8859-60c057d5e76d · outbound

This paper cites 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) , pages=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) , pages=

Reference 19

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source=arxiv_source observed=2026-08-01T09:33:34.488437Z digest=sha256:b54983880c5d4c0bf7c47fbad6c03ff749c06f1c5349244c7e50a03fa8b19b70

Observation 63cb22bc-7dff-4803-b162-a81ae2aad10c · outbound

This paper cites Journal of Field Robotics , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Journal of Field Robotics , volume=

Reference 20

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source=arxiv_source observed=2026-08-01T09:33:34.670383Z digest=sha256:f469b60ebebcf03839d44a8c1c400f6fae1c89468da538d89c70911a52b2a197

Observation 168c6ce2-facd-4cd4-944c-8bfa16df3269 · outbound

This paper cites YOLOv3: An Incremental Improvement.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation YOLOv3: An Incremental Improvement

Reference 21

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source=arxiv_source observed=2026-08-01T09:33:34.874001Z digest=sha256:8f459f5bb49a3acda644995c1b69e854929928825b1adfcbef0645efbd477f00

Observation 1b3cd702-6cd5-4f7e-aa5e-336ff799df33 · outbound

This paper cites 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) , pages=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) , pages=

Reference 22

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source=arxiv_source observed=2026-08-01T09:33:35.003224Z digest=sha256:c37ef6314aed9d3e94279b7a1f338b67de47b848fd3f6e06f28e1b377427be1b

Observation 198202ce-3c8d-42b3-b502-c42a78eeafc7 · outbound

This paper cites Expert Systems with Applications , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Expert Systems with Applications , volume=

Reference 23

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source=arxiv_source observed=2026-08-01T09:33:35.147873Z digest=sha256:9d71dc6431a5f69a03a145c738a713f64f093f3e58b3a33667df9eca3e2ff43a

Observation c36da4d0-f12d-405b-a651-7da292354767 · outbound

This paper cites Sensor fusion IV: control paradigms and data structures , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Sensor fusion IV: control paradigms and data structures , volume=

Reference 24

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source=arxiv_source observed=2026-08-01T09:33:35.276421Z digest=sha256:273ca5daae902f2279f9a168dc2cf1f9b999687ba2407897ed879279b58e812b

Observation 5532d503-e0b4-4399-93fe-47a69a040701 · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 25

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source=arxiv_source observed=2026-08-01T09:33:35.475210Z digest=sha256:1333bf552d26494a3179baf87e91d3c2cf5eb9dd455e302e48dd6e74feb078f6

Observation df440ddb-62ac-40a1-8cd0-a21affcec6e8 · outbound

This paper cites Journal of Open Source Software , volume=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation Journal of Open Source Software , volume=

Reference 26

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source=arxiv_source observed=2026-08-01T09:33:35.608505Z digest=sha256:f03827814c195644a46c63786540833657e6f23d5c45472c7b33262a963013d7

Observation 60522e20-9084-4c83-8c4d-971ce001219e · outbound

This paper cites 2025 , month=dec, note=.

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation 2025 , month=dec, note=

Reference 27

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Pith citing papers

No inbound Pith citation observations are available.