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Paper Citation Record · LEDGER

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.17110.

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

pith.paper-citation-record.v1
2506.17110 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:17:14.964994Z

measured 35 of 35 standing notices

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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

35 of 35 outbound references displayed

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  • verified fuzzy12
  • unresolved23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bd953fd-ca3d-4385-b66e-aec3ee670404 · outbound

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

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 1

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Observation 9c89dfd7-b212-4370-bd2b-2b9e95ae78dc · outbound

This paper cites Suctionnet-1billion: A large- scale benchmark for suction grasping,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Suctionnet-1billion: A large- scale benchmark for suction grasping,

Reference 2

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

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Observation cf3063ab-b595-4e25-a88a-b2306c555c89 · outbound

This paper cites Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,

Reference 3

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source=pdf_text observed=2026-08-15T19:17:14.805835Z digest=sha256:0ab901da3122c56c7ad6e58b8ad7407563a5e743ff309ceb13f493cc8bcc9d23

Observation d366e78a-930e-4620-ba95-f731a9847a1f · outbound

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

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping 6-dof graspnet: Variational grasp generation for object manipulation,

Reference 4

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-15T19:17:14.810839Z digest=sha256:386a80346f72087877eecd64c6f2f45650b24b0507113783139555ba5aa4d5be

Observation 61bcb630-b4ea-4458-a07a-f883b43f7822 · outbound

This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Reference 5

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Observation 2c9396ac-a702-4987-8b5b-a44c19ba1d4b · outbound

This paper cites Learning to recover 3d scene shape from a single image,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Learning to recover 3d scene shape from a single image,

Reference 6

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source=pdf_text observed=2026-08-15T19:17:14.821395Z digest=sha256:820d594ce90f28e61e6201c3a9bf1b040ebfb6aa2f550b2e99bb0e11d47779f6

Observation 015d056d-5c13-4196-aea6-d227d4923433 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 7

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Observation ea06aa4e-b2c0-4dd5-b9da-fe8b301ebf2e · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 8

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Observation a00b6c99-65f4-40ff-b4d5-1958a27ce4aa · outbound

This paper cites Adabins: Depth estimation using adaptive bins,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Adabins: Depth estimation using adaptive bins,

Reference 9

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source=pdf_text observed=2026-08-15T19:17:14.838362Z digest=sha256:44c4b9d6524bbcffd98efdbf931f57fc1afee6e725b5fd69d50d8dee1f377a78

Observation bba01fe9-baf3-498d-9424-a7d6e090f7c8 · outbound

This paper cites Depth Anything V2.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Depth Anything V2

Reference 10

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source=pdf_text observed=2026-08-15T19:17:14.843284Z digest=sha256:e21c64590fad1d280673b360b1d36561b534d58d9d753499e03a2fbd3d723905

Observation 8eb609a0-485c-488a-aa20-6be2ccbc81cb · outbound

This paper cites Monoc- ular relative depth perception with web stereo data supervision,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Monoc- ular relative depth perception with web stereo data supervision,

Reference 11

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source=pdf_text observed=2026-08-15T19:17:14.848641Z digest=sha256:2851600dbf4ab63137cfb4e06ebc1e2096f7af0e4aa6e12e445c1267fc74daab

Observation 2d6ff82f-efe4-4d3f-aac8-e7db7a4dbff9 · outbound

This paper cites Structure- guided ranking loss for single image depth prediction,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Structure- guided ranking loss for single image depth prediction,

Reference 12

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raw_fallback, observed 2026-08-15T19:17:15.391621Z

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=2026-08-15T19:17:14.853116Z digest=sha256:e488b582fee7f9ee6733dd6f8022ee3b8b0cf8b4d9dc9bae0610dd5bf52ec667

Observation 412cbcbc-b244-4a87-a8b1-a7d56ed36272 · outbound

This paper cites Oasis: A large-scale dataset for single image 3d in the wild,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Oasis: A large-scale dataset for single image 3d in the wild,

Reference 13

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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=2026-08-15T19:17:14.857741Z digest=sha256:244c3865565e0c9f92c95ebd016183e32efadf9be6913f79820630afa684be0e

Observation 0ae66023-2331-4de5-95b0-19b70f46f546 · outbound

This paper cites Single-image depth perception in the wild,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Single-image depth perception in the wild,

Reference 14

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raw_fallback, observed 2026-08-15T19:17:15.361212Z

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=2026-08-15T19:17:14.862822Z digest=sha256:03e3fbf50396d5346228400905bb1b1969947f432ca8444167979f83204e9e71

Observation 9d172d1c-d5ec-4fb8-840c-36b7f2958426 · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Metric3d: Towards zero-shot metric 3d prediction from a single image,

Reference 15

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source=pdf_text observed=2026-08-15T19:17:14.869826Z digest=sha256:547442d3eec2ac6757e8248b5bffa7dfc4d26ab8c2e66a2c54dc4e51db188b55

Observation 2e1085f5-115b-41f0-85c4-a5e6a4b4e3cf · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Vision meets robotics: The kitti dataset,

Reference 16

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source=pdf_text observed=2026-08-15T19:17:14.874765Z digest=sha256:2b2d2ccaca4ada5b5c218214af4b42a2695f323cb21468945b7a3fa8365fad25

Observation 59d6f4f1-0ff2-46ae-a718-8301af2f419a · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Indoor seg- mentation and support inference from rgbd images,

Reference 17

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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=2026-08-15T19:17:14.879492Z digest=sha256:01534757094c8dc4caa56f2f76e6284e4c55abca70f264a3c352d3a338fe50a4

Observation 88b93fd2-a597-46c7-ad73-f0fb24ae4df7 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 18

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Observation 97b4b79a-75de-417b-a75b-451482bada6e · outbound

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

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Graspnet-1billion: A large- scale benchmark for general object grasping,

Reference 19

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source=pdf_text observed=2026-08-15T19:17:14.888537Z digest=sha256:c1f9860dbf8f866a071530cda09d85084d602eb88a7250a9a167f8c682002b88

Observation 680fb005-56f0-44b2-8dcd-9c505f0f53a3 · outbound

This paper cites Clear grasp: 3d shape estimation of transparent objects for manipulation,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Clear grasp: 3d shape estimation of transparent objects for manipulation,

Reference 20

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source=pdf_text observed=2026-08-15T19:17:14.893827Z digest=sha256:b1d5ad792ace97fa4ca29be16947a1f21be42ac5eea5ae4d11b0cad30360a523

Observation 1f402d44-5e18-45e6-8d44-bb482ceddbdd · outbound

This paper cites Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline,

Reference 21

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source=pdf_text observed=2026-08-15T19:17:14.898994Z digest=sha256:b9ab3b33e1f121a11525f530c092671293689d1cdc9745e837a5627326c07a26

Observation 21326a8f-7d05-46a6-909f-a1c61f97bf6c · outbound

This paper cites Asgrasp: Generalizable transparent object reconstruction and 6-dof grasp detection from rgb-d active stereo camera,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Asgrasp: Generalizable transparent object reconstruction and 6-dof grasp detection from rgb-d active stereo camera,

Reference 22

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Observation 69fd7cef-3773-47fc-a2a1-b431c301e0c3 · outbound

This paper cites Monograspnet: 6-dof grasping with a single rgb image,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Monograspnet: 6-dof grasping with a single rgb image,

Reference 23

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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=2026-08-15T19:17:14.908002Z digest=sha256:33b28fad0492678f6224f22d3f2c51109eb334438b38307a3e613be14355c091

Observation f878ba76-d95d-4da2-a17a-de7cfa8cf44c · outbound

This paper cites Graspnerf: Multiview-based 6-dof grasp detection for transparent and specular ob- jects using generalizable nerf,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Graspnerf: Multiview-based 6-dof grasp detection for transparent and specular ob- jects using generalizable nerf,

Reference 24

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Observation 10c6cff8-fc3f-44b0-bf76-fddd39f62d33 · outbound

This paper cites Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,

Reference 25

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Observation 574b0e6a-450a-46d2-8276-26ad9d2d372d · outbound

This paper cites Rgbgrasp: Image-based object grasping by capturing multiple views during robot arm movement with neural radiance fields,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Rgbgrasp: Image-based object grasping by capturing multiple views during robot arm movement with neural radiance fields,

Reference 26

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raw_fallback, observed 2026-08-15T19:17:15.209067Z

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

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Observation 19e37d00-8bd1-47e7-99f7-cf51c4448e17 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero- shot cross-dataset transfer,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Towards robust monocular depth estimation: Mixing datasets for zero- shot cross-dataset transfer,

Reference 27

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

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Observation 6f0cef38-6371-4e57-b24f-069ad4ee280c · outbound

This paper cites Toward 3d scene reconstruction from locally scale-aligned monocular video depth,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Toward 3d scene reconstruction from locally scale-aligned monocular video depth,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T19:17:15.176499Z

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=2026-08-15T19:17:14.933824Z digest=sha256:39cbe71e931c920f59478ee95035d211baaa139668836f802a277c523b4e3b2f

Observation 8bc14144-6764-44bf-a267-c1306673ac33 · outbound

This paper cites Garc ´ıa, J.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Garc ´ıa, J

Reference 29

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

source=pdf_text observed=2026-08-15T19:17:14.939212Z digest=sha256:77b5951407d013f5e5094ec466930b94be3c36c87310b07d4bde0a8b10ad57b5

Observation 79e2bad5-780e-49e9-92aa-978617a16aef · outbound

This paper cites Clearpose: Large-scale transparent object dataset and benchmark,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Clearpose: Large-scale transparent object dataset and benchmark,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T19:17:15.145314Z

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

source=pdf_text observed=2026-08-15T19:17:14.943272Z digest=sha256:8c1fc89810f3f7d9099fcf06571c84be2854f8306fb5915669c35ef9621f0dd1

Observation 72accd17-0af2-4d6d-8889-361e9e6a087c · outbound

This paper cites Rgb-d local implicit function for depth completion of transparent objects,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Rgb-d local implicit function for depth completion of transparent objects,

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:14.947441Z digest=sha256:bd160027d90ff7e349a02314ccacf19a5fca996a22e0b8f10ada2abe4f9902f6

Observation 106e2ed3-b67f-4789-8aed-b2a0356c1f11 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping LoRA: Low-Rank Adaptation of Large Language Models

Reference 32

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Observation e2699fb1-d6cc-4d35-aa12-1dfa7c9a5ce6 · outbound

This paper cites Localbins: Improving depth estimation by learning local distributions,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Localbins: Improving depth estimation by learning local distributions,

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:17:14.956609Z digest=sha256:1878b41ed932b213125248f93abf3eec8bea637f0d12eb27bc3ac729136c4847

Observation 15cec5a3-c8d1-485c-918b-3349f7c0af32 · outbound

This paper cites Segment anything,.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Segment anything,

Reference 34

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source=pdf_text observed=2026-08-15T19:17:14.960714Z digest=sha256:2954144289b1d13095b15153295a05138c9cc65b8a5c170809f1bfdda4f16ebd

Observation 7f28aedb-5576-4161-9eaa-987274b24f63 · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 35

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no resolver link, observed 2026-08-15T19:17:14.964994Z

Source-reported events for the cited work

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Pith citing papers

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