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Paper Citation Record · LEDGER

Survey on Monocular Metric Depth Estimation

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2501.11841.

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

pith.paper-citation-record.v1
2501.11841 v4

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:50:50.802093Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T07:39:52.610418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:40:43.843467Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7bcd3581-a275-44b0-bc32-dfe483c476ba · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Survey on Monocular Metric Depth Estimation Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.733230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.733230Z digest=sha256:f4911de99ad1d6abb2314ea6b2bd87ae59268d1352845a6114c17484f310caaf

Observation cf7b2a05-8a67-4d25-84d5-3dd96d4b6d22 · outbound

This paper cites Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera.

Survey on Monocular Metric Depth Estimation Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.749857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.749857Z digest=sha256:8e96f440ef2f52a3860e9d4e1f4636251e85ff6bb20e40dd8747a2203d563ae5

Observation 596ab12e-f7ae-43e0-8aca-68651b687e76 · outbound

This paper cites InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes.

Survey on Monocular Metric Depth Estimation InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.765806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.765806Z digest=sha256:370231824808534d41a2549c032203ccdb962c050bf73ed26b215e09ba51f85f

Observation 6b825248-c5dd-4646-ac58-3014f520a48b · outbound

This paper cites RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion.

Survey on Monocular Metric Depth Estimation RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.770525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.770525Z digest=sha256:1c8f5f67fe96b008903a4a5b547557d3896b0ec0be1207571e1fea23fad4dc81

Observation c05accbe-05c4-40f0-afd0-b26d50e5bcea · outbound

This paper cites Outdoor Monocular Depth Estimation: A Research Review.

Survey on Monocular Metric Depth Estimation Outdoor Monocular Depth Estimation: A Research Review

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:50:50.885949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.781232Z digest=sha256:1a6d705830eb00022c1afbc553d209b305a106547e5be19aa151f7ec5a0b5d66

Observation 0b64e606-6cc8-49c8-9829-e7429d77eb35 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

Survey on Monocular Metric Depth Estimation Tartanair: A dataset to push the limits of visual slam

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:50:51.116100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.786454Z digest=sha256:5203d2694764bff4648834e2540d7f071b2238998fad32b04afff1d7b39400f2

Observation 39802b7e-095f-41d5-9c20-f04b86bb638f · outbound

This paper cites Monocular depth estimation based on deep learning: A survey.

Survey on Monocular Metric Depth Estimation Monocular depth estimation based on deep learning: A survey

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:50:51.098248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.791716Z digest=sha256:793b96de732bd8ca7c259fbadba24337d37e1577d9521fb93a6b975177f36d1c

Observation d28918a4-a352-4ea2-8cee-bd41330416c5 · outbound

This paper cites Depth Anything V2.

Survey on Monocular Metric Depth Estimation Depth Anything V2

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.796660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.796660Z digest=sha256:5784a4130dde2e7edde8dd80687623e89cf6e27071a06447998b3ad360b981d3

Observation 8b3ef88a-a28b-4831-adca-a32e2e72a515 · outbound

This paper cites NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.

Survey on Monocular Metric Depth Estimation NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.802093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.802093Z digest=sha256:ce72effb49273bc49dc0336dea6e3b144b245d1b0af49b9e522a272f9d4873d0

Observation 592a1b38-9f78-4c45-85db-b869e247bed1 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

Survey on Monocular Metric Depth Estimation Deep ordinal regression network for monocular depth estimation

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:50:51.154171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.738893Z digest=sha256:917654a9d10ec1901358604b4021d75fd1835e863d03757b27c21e1e6a62f3b9

Observation 855eb3e8-308f-4dbc-89eb-9b3d000b8da8 · outbound

This paper cites Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV.

Survey on Monocular Metric Depth Estimation Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV

Reference 2015

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:50:50.910457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.775551Z digest=sha256:f9f21a58dbc24721cac7c745d8968eea3ee011519c72913b39d0aeb814f74de5

Observation 87454619-b9fa-4d3d-acff-25ec76bebc2a · outbound

This paper cites K., Carneiro, G., and Reid, I.

Survey on Monocular Metric Depth Estimation K., Carneiro, G., and Reid, I

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:50:51.132741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:50:50.744703Z digest=sha256:5dede32d2e7538547e869f606d44a93414b1c3f22fd4c94b3f4a7baf1b9ce6fa

Observation b108c64c-ccd3-4220-87c3-81abcbd0512d · outbound

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

Survey on Monocular Metric Depth Estimation MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.728117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.728117Z digest=sha256:05ec17215d01303d023add76db20c1c6be6fad2c054789dc186eb45dcdc3608f

Observation fc7c9ccd-04fe-43f4-a1d6-2f3ef4cbf56b · outbound

This paper cites Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model.

Survey on Monocular Metric Depth Estimation Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.760073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.760073Z digest=sha256:b7e2f0ae735c20198376a5ad1ef4f91e6b1adfe157d20bf7cb7fa0ae7100f120

Observation 1bbabeb7-1caf-42b5-8997-0680baa2f62a · outbound

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

Survey on Monocular Metric Depth Estimation ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.717038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.717038Z digest=sha256:070f7be88170973a056fb2101b073d899d1083619083607f080ef23b6ccc8248

Observation 92ae69c0-7252-4fbb-953a-d1707abb7f4a · outbound

This paper cites Monocular Depth Estimation: A Survey.

Survey on Monocular Metric Depth Estimation Monocular Depth Estimation: A Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.722597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.722597Z digest=sha256:be19d0b516d642e777ef464d3e33a09367d4d133293170e1dd0cfe64664ffaf0

Observation 80fb1ff0-0f7c-4cf1-98ea-95db201fa3ef · outbound

This paper cites MagicEdit: High-Fidelity and Temporally Coherent Video Editing.

Survey on Monocular Metric Depth Estimation MagicEdit: High-Fidelity and Temporally Coherent Video Editing

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T17:50:50.754782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:50:50.754782Z digest=sha256:e7edf987937d2b146cc85a499c7ecdcf549dc1cf182fbd559e044d618e298f02

Pith citing papers

Observation a3373a20-1bb7-4131-94f1-6fe998012a64 · inbound

Markerless Head Tracking for Accurate and Accessible Neuronavigation cites this paper.

Markerless Head Tracking for Accurate and Accessible Neuronavigation Survey on Monocular Metric Depth Estimation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:40:43.845721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T07:39:52.610418Z digest=sha256:fc051470ca22dea4adf48d9c1505ce4c07986894b87587b0ba3c4e6ea74bd610