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Paper Citation Record · LEDGER

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.09491.

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

pith.paper-citation-record.v1
2506.09491 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:55.030765Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved5
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe91abce-9278-428f-a045-79f3f0f15dca · outbound

This paper cites Light field depth estimation for non-lambertian objects via adaptive cross operator,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Light field depth estimation for non-lambertian objects via adaptive cross operator,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1c467a3c-633f-48f0-838e-13c62678916b · outbound

This paper cites Mirror detection with the visual chirality cue,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Mirror detection with the visual chirality cue,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:52:00.481493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2b91b409-6979-4fca-a046-59349bbfa51f · outbound

This paper cites Deep shape from polarization,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Deep shape from polarization,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:52.816910Z digest=sha256:dfa86e9987c9bfae2aae9914de5820386641f69cbbe8add559992825be7760a5

Observation 5316aa4e-92bc-4d8d-97e7-96c635aeaff1 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Evo-nerf: Evolving nerf for sequen- tial robot grasping of transparent objects,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:52:00.040286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:52.867819Z digest=sha256:9ca58e7f40b119677dfac2e5955ff6530f17589fe59320babc136dcffeae9734

Observation 36ee307b-707b-4e62-b98a-6729564edfd1 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Graspnerf: Multiview-based 6-dof grasp detection for transparent and specular ob- jects using generalizable nerf,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:59.895897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:52.944214Z digest=sha256:704cc725067292b654c6a755189f90b0ce1d3d6d18e5f80a9b21a714ea3a42ff

Observation 1f32b3a2-d2c4-441a-b618-87187fe5a70d · outbound

This paper cites Decomposed guided dynamic filters for efficient rgb-guided depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Decomposed guided dynamic filters for efficient rgb-guided depth completion,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:59.704901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.017950Z digest=sha256:7e6bbb653e2f64becb749a21bf952138a7086b718d2cf08c5eb1c82c494c39f5

Observation 3455597f-cceb-4445-ac6b-accf8ea2f44f · outbound

This paper cites Dyspn: Learning dynamic affinity for image-guided depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Dyspn: Learning dynamic affinity for image-guided depth completion,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:59.523107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.075200Z digest=sha256:c9cdbe7319a73bf74ed7186335b18d11fa0b9804ee2bbff5ec1a6f5ec270e758

Observation cc4d295d-a6b8-4530-9b6f-7284e4afbfd7 · outbound

This paper cites Fdct: Fast depth completion for transparent objects,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Fdct: Fast depth completion for transparent objects,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:59.344227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.127009Z digest=sha256:97f4d53c5a01816ae8de0eab4f47e63932b2ceb23a57e7162445008c154b8a1b

Observation 3bf51d2b-4dd8-486f-bf99-d3605df88988 · outbound

This paper cites Diffusion-based depth inpainting for transparent and reflective objects,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Diffusion-based depth inpainting for transparent and reflective objects,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:59.174063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.191505Z digest=sha256:a3b024cd16337b5216f253a20b340d7cec49b06635d6efdb3a58b448d6c18a3e

Observation 3df58a49-fa43-4b44-a7c7-109961faf7b3 · outbound

This paper cites TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:51:55.370866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.266118Z digest=sha256:f303af9532b5e68c60e7c10bb10e0f508ad1f0d67cab5e75bef13b4f48cb9901

Observation f668cc5e-2a47-4aab-8caa-32a184198803 · outbound

This paper cites Domain randomization-enhanced depth simulation and restoration for perceiving and grasping specular and transparent objects,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Domain randomization-enhanced depth simulation and restoration for perceiving and grasping specular and transparent objects,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.988702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.310586Z digest=sha256:5d3c73eeceec3cbb9b08c1d33099d33ba80a18eb8eb4c2840c9152efc4f7e118

Observation 20a2b632-7c52-4f85-958a-c3347a7e0d50 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:53.395877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:53.395877Z digest=sha256:f3f40f3780a20101fc9efadcc5573b7dd664f1dbda0a8126f42e0dded6476650

Observation d3be37e4-8200-40f4-9b98-6d00fbed90de · outbound

This paper cites Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.807486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.461950Z digest=sha256:23c9d774b43dd54f83b6d41ae52521f78ea5c4ee0f6bd187a86c10f0c687999c

Observation a3aa5c54-e894-4bb6-9d27-e0aa7ab143a7 · outbound

This paper cites Shapeconv: Shape-aware convolutional layer for indoor rgb-d se- mantic segmentation,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Shapeconv: Shape-aware convolutional layer for indoor rgb-d se- mantic segmentation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.629927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.539341Z digest=sha256:e3066a3fd88744333bde53b0177f5353f9794785b2c34a9c00dd2480f51878ea

Observation 43bc83f0-7c83-418b-b3f6-5b0827cc4584 · outbound

This paper cites Cross-modal self-attention network for referring image segmentation,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Cross-modal self-attention network for referring image segmentation,

Reference 15

Resolution
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no resolver link, observed 2026-08-07T04:51:53.573166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:53.573166Z digest=sha256:d76539514615c4dad324ecea1ea70c810b2cb6d57b2501adcf375211b9be3b44

Observation fec1c287-c859-48cc-b4a2-c5cfe564494a · outbound

This paper cites GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:53.625363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:53.625363Z digest=sha256:994cf9e65fecd69d9105509fb9ecaab605b72fde45394369bee8be1930a3c132

Observation 6755be85-6886-44f4-a7bf-478241c0927f · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transform- ers,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Cmx: Cross-modal fusion for rgb-x semantic segmentation with transform- ers,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.457799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.724915Z digest=sha256:35097e985bb84f4f2820b4250ea1e5fa5f4ac6eb0847f43fa779058299e565df

Observation aca52154-a7de-4d96-a6c1-dd06f33616de · outbound

This paper cites Bilateral propagation network for depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Bilateral propagation network for depth completion,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.278962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:53.803688Z digest=sha256:522481b8533619b806fe3b7d485ee10a690b4ae5f8ee3994532b08a1f923c6e1

Observation 704f59a1-69b3-449c-8a25-bb4babed057b · outbound

This paper cites Learning affinity via spatial propagation networks,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Learning affinity via spatial propagation networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:58.085425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 027fde6c-ade7-4ca3-a1ac-1853a5cf63d8 · outbound

This paper cites Lrru: Long- short range recurrent updating networks for depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Lrru: Long- short range recurrent updating networks for depth completion,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:57.934730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dc32483c-159a-49c4-84af-bf07bb4bb2d7 · outbound

This paper cites Non-local spatial propagation network for depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Non-local spatial propagation network for depth completion,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:57.793519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.073538Z digest=sha256:98fed3f75baea91fe3d8edcdabde266aa7a4241767ce079d9577c5b6b126d4e9

Observation 8b9472bf-6e13-48b5-8890-32324c835d7f · outbound

This paper cites Learning depth with convolutional spatial propagation network,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Learning depth with convolutional spatial propagation network,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:57.546521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.155599Z digest=sha256:c99fc72c352d6f6ce01d0f8cb55f3c136f3d9147dd6a8cc6ed4e51049ce429df

Observation 596f1cd6-ab48-4caf-bff5-6f7c811b54d3 · outbound

This paper cites Cspn++: Learning context and resource aware convolutional spatial propagation networks for depth completion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Cspn++: Learning context and resource aware convolutional spatial propagation networks for depth completion,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:57.260934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.239286Z digest=sha256:ce01e6f73c5292bbad486a7a50f04c00baa34c971296eeb47b9ef9d98339de61

Observation 2da5ed50-004b-4a75-9289-5301301d7d80 · outbound

This paper cites Unified perceptual parsing for scene understanding,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Unified perceptual parsing for scene understanding,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:54.304167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:54.304167Z digest=sha256:5e276aab0d477b9c194ea441114f29931bf9ee70aa37c1da3789c81068653c78

Observation fd3a7db4-c4d1-4b47-80ad-832e9726ce66 · outbound

This paper cites Dey- olo: Dual-feature-enhancement yolo for cross-modality object detec- tion,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Dey- olo: Dual-feature-enhancement yolo for cross-modality object detec- tion,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:57.057175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ed03aaad-5706-4fce-a636-70fd296e2b94 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:56.872759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dc8577df-82ae-405a-a60a-4c5628aff746 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Rgb-d local implicit function for depth completion of transparent objects,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:56.724051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.558432Z digest=sha256:152290a273f0454f56f8ae5e8795f242f92c60b8f51775b64c422ea0499a836c

Observation ff8b2d70-c389-46b6-ab6b-f1634647f047 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Clear grasp: 3d shape estimation of transparent objects for manipulation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:56.511787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.643215Z digest=sha256:ad72eca33e33e5917666f0fd26b440683074c8487ec08304dc2b6e9fa4d701c2

Observation 8be24d5c-8598-477d-964b-45015fced110 · outbound

This paper cites Tcrnet: Transparent object depth completion with cascade refinements,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Tcrnet: Transparent object depth completion with cascade refinements,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:56.241512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.732839Z digest=sha256:7d7016f82b9d941d35dc36074becdca1cb6b0ccec78dad4098e11d105cc08db6

Observation facc65ee-c4d8-4c8a-9019-c742d2538432 · outbound

This paper cites Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:54.841021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:54.841021Z digest=sha256:7c73c6c88e8443849296a4464169190ced3da66e90699904f937f924d761bde5

Observation b0a6c1c2-f82c-4446-a385-4866f881aab7 · outbound

This paper cites Tode-trans: Transparent object depth estimation with transformer,.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Tode-trans: Transparent object depth estimation with transformer,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:55.937373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:54.914444Z digest=sha256:6a0d9d752036f12df9a75abb27e8492aeccf1fef8cf3c38335787c5a4b4da754

Observation a268c817-fa7d-40f6-97f3-56db67cac762 · outbound

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

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:51:55.620950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:51:55.030765Z digest=sha256:181023b5fe0a312067c7bab17780939a022248f1da47d385859eafd4095f29ed

Pith citing papers

No inbound Pith citation observations are available.