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Paper Citation Record · LEDGER

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs

As of 4 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2605.02667.

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

pith.paper-citation-record.v1
2605.02667 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:18:25.008234Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:25.962478Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy36
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83cb99c8-e255-4321-b1d2-81ac255a66b9 · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Clear grasp: 3d shape estimation of transparent objects for manipulation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.764968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:6690baaa5692e473ddb8a670c8835c43839d558318bb0bd7a3925d88552ca5bf

Observation be67eaea-50ec-46cf-a415-3aabbeb31d19 · outbound

This paper cites Depthgrasp: Depth completion of transparent objects using self-attentive adversarial network with spectral residual for grasping.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depthgrasp: Depth completion of transparent objects using self-attentive adversarial network with spectral residual for grasping

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.760336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:193434865728d4239880b79d8d702f59b404f21a99104beebdefbd85ddbd9e95

Observation dee6e459-b907-4fea-82de-2ee34f07270c · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Transcg: A large-scale real- world dataset for transparent object depth completion and a grasping baseline

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.755069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:0ba427871596b90427bd36d46cab147dd5b2e6a7251c457ff41b003da99bdaa3

Observation cf0a7c85-55f9-49b0-91e3-4731d44c093a · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.776857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:d8a0d871881aff82fd8a2a6692b20b4839398db841b0b34bdde7dda964bcf7e8

Observation 7b668d03-2ae7-40c7-95af-4c2083475bc1 · outbound

This paper cites Ditto: Demonstration imitation by trajectory transformation.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Ditto: Demonstration imitation by trajectory transformation

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.773113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:d69d5b2516c043f4f82cf375d7e8b35e74bf86291ff25b80980e42fdcb96f7e7

Observation e86239f6-3639-4218-bd89-a6d416ea7c0e · outbound

This paper cites The art of imitation: Learning long-horizon manipulation tasks from few demonstrations.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs The art of imitation: Learning long-horizon manipulation tasks from few demonstrations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.768667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:8aa362fc9068b3bbf09c15a7c40dd37a10d3f4673a22d654f5cac3bb0fd0aa86

Observation 806cb2f9-6109-450a-bd20-d60621e4bb26 · outbound

This paper cites CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:39.532032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:9e1bdc3a4949c358518baf1b9fe499101656a723ab91b100c2910866bd5db9e3

Observation bbdb9968-b423-4e7a-ab93-dd74352584b9 · outbound

This paper cites Dynamic object removal and spatio-temporal rgb-d inpainting via geometry-aware adversarial learning.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Dynamic object removal and spatio-temporal rgb-d inpainting via geometry-aware adversarial learning

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.653120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:fb4d6d00a550092ba286902ba2133cfd3fb0155c671d4006a67588ea37caf857

Observation f68d113a-4465-4273-95c4-c9e635d20903 · outbound

This paper cites arXiv preprint arXiv:2602.16356 (2026) 4.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs arXiv preprint arXiv:2602.16356 (2026) 4

Reference 9

Resolution
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arxiv_id, observed 2026-05-09T06:35:39.523453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 5c46e380-f1da-4d5b-bb37-2d5311565f41 · outbound

This paper cites Towards robust semantic segmentation using deep fusion.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Towards robust semantic segmentation using deep fusion

Reference 10

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raw_fallback, observed 2026-05-26T05:17:22.643938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:74334ec1a4a0a6a675444063dd66665ad041e652538e9a8373f24c51b1ebcdff

Observation 407e51a9-91da-4dc8-adc4-41a4ad926aab · outbound

This paper cites Articulated object estimation in the wild.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Articulated object estimation in the wild

Reference 11

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raw_fallback, observed 2026-05-26T05:17:22.629928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:55521fc4bfeef1676f3c3a08dc3c5a9bf65af04a3f0fed3a57e2b6344234f8b9

Observation 37294dc9-a90a-4da0-9cbc-e943c7e4f3d6 · outbound

This paper cites Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:39.546840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:e5f4be7fead7e07e3335075607286a53f8d5b27a243787a18c5044b570bbcb83

Observation ac9a9fda-132f-4d6d-8a4e-87c1426e3bd7 · outbound

This paper cites Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Novaflow: Zero-shot manipulation via ac- tionable flow from generated videos.arXiv preprint arXiv:2510.08568, 2025a

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:39.510056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:7e88bd0269e2a7caf7375325410a5a2fca2d6d227dc1a60818f42473aa480692

Observation 4bbdb558-e206-42b5-8593-379497b394a6 · outbound

This paper cites Vidbot: Learning generalizable 3d actions from in-the-wild 2d human videos for zero-shot robotic manipulation.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Vidbot: Learning generalizable 3d actions from in-the-wild 2d human videos for zero-shot robotic manipulation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.715485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:f6acaa470f8d4d553dde6d3f06d6755b76fb07caef7c40bdc4493416393da613

Observation 622a6346-1b8f-4463-bfee-cff5d98d40a9 · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Rgb-d local implicit function for depth completion of transparent objects

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.731292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:960ccec9c9954a8fbba6888c89565ed8c2834b06a4578f6b8135768656dc71b5

Observation e7f28872-3958-4d91-9717-cb84a03822cd · outbound

This paper cites Seeing glass: Joint point-cloud and depth completion for transparent objects.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Seeing glass: Joint point-cloud and depth completion for transparent objects

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.739329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:ec823c274016c3e5af4e082b5c35a1936dd2d9cb0b2d513d88e4b5443a72abaf

Observation cf57d86f-553f-4d39-bfcc-2c31a8c4d71e · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Tcrnet: Transparent object depth completion with cascade refinements

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.735215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:f3303a9fabc4599715c9001270c73570fa5573878abc669eed2176e98fa55253

Observation 8cedfb59-6117-46fa-bebf-3eda983f4932 · outbound

This paper cites Completionformer: Depth completion with convolutions and vision transformers.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Completionformer: Depth completion with convolutions and vision transformers

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.718701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:e5a188f1705bd97a0153f6575f3a11e388589da4581ec7cf899cbe6ba277fb05

Observation 58b981be-d21d-49ad-9d2e-3e4ce34bd03b · outbound

This paper cites Costdcnet: Cost volume based depth completion for a single rgb-d image.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Costdcnet: Cost volume based depth completion for a single rgb-d image

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.727236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:737fa06d70b506ad6d45e43f650628f92c4a44fa4b144b3a11882166a02c85c3

Observation 5057e728-1651-42f4-82c7-a29641df0b80 · outbound

This paper cites Depth estimation via affinity learned with convolutional spatial propagation network.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depth estimation via affinity learned with convolutional spatial propagation network

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.743590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:1e256a19087b7619f6aaab2d25e4c09ec65dff7b6f0d68e260db9ad94926ecdb

Observation 853e9185-b19f-4d28-8a4c-3b8d0487adf0 · outbound

This paper cites Dynamic spatial propagation network for depth completion.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Dynamic spatial propagation network for depth completion

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.751272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:c58c345cca52c2798a5932d2b1dac05f9146c3d5a3c3222821acab8cf1bf9e5a

Observation 8e29c918-24c3-49ab-8269-bdda6cdc71eb · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Non-local spatial propagation network for depth completion

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.747582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:e3376c983c055124228291a6a03646576448d2ecaee9ef47fa4a05d0cbb3d1f2

Observation d90e2e7a-3042-474f-88db-1afd964f0020 · outbound

This paper cites Self-supervised sparse- to-dense: Self-supervised depth completion from lidar and monocular camera.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Self-supervised sparse- to-dense: Self-supervised depth completion from lidar and monocular camera

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.700387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:061e3dbeb1cf9602d511bc13d5260f20c9a6fa51794db57ceb0ba493a0f76dbb

Observation 56245121-9eb5-4f89-af8f-61b09c65e5de · outbound

This paper cites Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.707805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:88f71498d0ef7d419dcad6ff254ca9f1f1f9a3ac235f82a9a109fd0998750601

Observation f99e4dfc-9b9d-45cb-ba39-31266508c812 · outbound

This paper cites Depth prompting for sensor-agnostic depth estimation.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depth prompting for sensor-agnostic depth estimation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.662074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:98d88e6f5d0b7641a0b6e6b5bfad45f2fe1e1b2a43b8fea3f459b4be65d7c5aa

Observation 7442ab39-1eab-4b13-957e-ef81cd461c0c · outbound

This paper cites Depth anything v2.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depth anything v2

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.663720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:5d66ce6afdd5d97dd00a1f9e0061dde41a42660960289e610a6e6619d0e775f1

Observation 41d5e7a3-f45d-4040-a6b4-152bb440bf19 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depth Anything 3: Recovering the Visual Space from Any Views

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:07:59.495600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:2395ab6e4b636128f09805c8233d2c5cc1c77b3e0de72ee0ed6a3fb490b0b6c6

Observation 5afbd774-95df-4a9e-8823-9b8eca957497 · outbound

This paper cites Metric3d v2: A versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Metric3d v2: A versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.723238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:e731f968900a1a179a1c4aa579aae37b6de1e3ac1198a13451cefbf199b2424c

Observation b8c78840-35bb-46fa-99e2-b31ec470baa0 · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Depth pro: Sharp monocular metric depth in less than a second

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.725181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:0cf7224caa1a73c3a629ad67005fcef008bf75538fdb1e739b5ab722abd03595

Observation 0e2766ea-3334-41c7-b928-5f687e8712dc · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Unidepth: Universal monocular metric depth estimation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.721674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:27db88913dc2708e987310f0e93237b14f2ba074f8d71b7e0c71fa9f264e4d58

Observation 89890b47-4407-4448-b4c2-3d7752b0576e · outbound

This paper cites Unidepthv2: Universal monocular metric depth estimation made simpler.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Unidepthv2: Universal monocular metric depth estimation made simpler

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.671049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:21f8f7b59520ac764c13cf8fb75e6716d462c651975559b7d80159bb2636756d

Observation 42cd5c8d-e38a-4a17-8f36-17338bd059ce · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Indoor segmentation and support inference from rgbd images

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.694900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:a1e8008f6399fa5e4e500129b9b7df43b84c38705b120482b879e9aa9a16a208

Observation 49d9941d-700e-4b3a-983b-65791ff6bf5e · outbound

This paper cites Vision meets robotics: The kitti dataset.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Vision meets robotics: The kitti dataset

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.702349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:2e61d03153132a370aa240410583b59dcefa68d30d1c23796b96f2e030eb1377

Observation 6fe247d1-dc6e-45ad-80cc-168f046c1b15 · outbound

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

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Clearpose: Large-scale transparent object dataset and benchmark

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.691111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:89bf0921420535bce81323d009b7ba79d4a813af5c4a8a5fe30993a28ce5dbf5

Observation 07cfede7-47d0-40a7-9953-b0b1c0dd9942 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.679130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:b45cd6991b7c27e6611b20f458b389454eefd19d3bbc4b8b5a7f425ab1cb9aa2

Observation 59a59470-4d94-4ee6-8f60-e321801dffab · outbound

This paper cites Segment anything.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Segment anything

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.711067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:9ede88a00b31e4127a916f4e707996f0c458bfab9070fe3f5605fc6cba4e9d27

Observation 5bd015e5-73dd-44d8-a7f7-28c5177dbff1 · outbound

This paper cites SAM 2: Segment anything in images and videos.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs SAM 2: Segment anything in images and videos

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.714647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:94c817743d2dcbdb494ede7555a67a3df34ee195da3bfa366ae13d410e5e4a4b

Observation db6003a5-2a5e-49e4-81f3-86d029ee46ef · outbound

This paper cites Robust Estimation of a Location Parameter.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Robust Estimation of a Location Parameter

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.687304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:e95563b19646fec8a002e9d9d6e365f4c1c94192efe1f32b543971263f4004d3

Observation 33bcad01-420e-4e2f-bed7-b1ec375f94d1 · outbound

This paper cites Robust regression using iteratively reweighted least-squares.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Robust regression using iteratively reweighted least-squares

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.698494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:143c5c8c782cd354dc9bd8792386ed2a7b0f59a791a71ef9c5160d0dc1645aba

Observation 274843e7-8a8c-4b23-8bf4-082d16e8d34a · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.718043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:86863378263d5d375555b7b7a2befbb6385069a16f21ecd3fc7bd300235f40ca

Observation 4c0cce95-5abb-41b2-b318-696d752919c1 · outbound

This paper cites Navier-stokes, fluid dynamics, and image and video inpainting.

AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs Navier-stokes, fluid dynamics, and image and video inpainting

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T05:17:22.706771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:18:25.008234Z digest=sha256:f641dec08c2638f6d3b5f3cdd3c153a03b52aaa9f8e1f12a39e191e81fb304f9

Pith citing papers

Observation 415a2dbc-9a89-4baa-a62d-9216809abfcf · inbound

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras cites this paper.

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras AnchorD: Metric Grounding of Monocular Depth Using Factor Graphs

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:25.962478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:16:25.962478Z digest=sha256:813dec019d2c1650485657883f9b450eafb6c1b0095f83bddd593cc05f509459