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Paper Citation Record · LEDGER

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 52 inbound Pith citation observations for arXiv:1907.10326.

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

pith.paper-citation-record.v1
1907.10326 v6

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 52 of 52 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.329294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.054457Z

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Outbound references

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Pith citing papers

Observation f69ed285-0c9a-4bb0-a434-5276ff0a35c5 · inbound

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

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 21

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arxiv_id, observed 2026-05-14T22:12:47.125933Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T22:12:47.063309Z digest=sha256:30a1002505467cdbfed0e6a89a02b0fbe2939e12670021b4b24992de398fe61c

Observation aea1f681-f30c-4f67-9490-c59e21016f50 · inbound

BiDense: Binarization for Dense Prediction cites this paper.

BiDense: Binarization for Dense Prediction From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 27

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source=pdf_text observed=2026-08-12T19:49:42.116819Z digest=sha256:ddc7b5454c7a58f5bb17499c37173b46fe166b066ce71b65a4fb16709a2e33cf

Observation e35893ef-3bd8-4df0-b9b1-fcbc96f3e1ef · inbound

Scalable Autoregressive Monocular Depth Estimation cites this paper.

Scalable Autoregressive Monocular Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 29

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source=pdf_text observed=2026-08-12T18:44:09.514857Z digest=sha256:018b94385ddd98684f0c41fad2e4cae59adbc39bc6c2f5418dbbb5c35965e8f7

Observation d72434c2-e598-41f1-b2d4-59f0678a1c5e · inbound

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors cites this paper.

Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 25

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source=pdf_text observed=2026-08-12T12:05:57.414435Z digest=sha256:ce226422ac9e6f71acba82025f89a8a7ecd9e0bfdd3787fce529562d2432dc38

Observation 7d83c583-9541-4a65-92cf-f04d5e74b178 · inbound

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation cites this paper.

SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 23

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source=pdf_text observed=2026-08-12T11:28:35.436423Z digest=sha256:8988a35d5a0b05fc2ffd7fb33ee2adcc706abc2d1c7e4088a9120d515b969797

Observation 380c524c-704b-4acb-ba37-ba04eea4b98f · inbound

Video Depth without Video Models cites this paper.

Video Depth without Video Models From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 31

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source=pdf_text observed=2026-08-12T10:31:01.742634Z digest=sha256:2d4f256556408df9193de6abcdd208fb5354ac07007b46df75a8d5f04654dd00

Observation 604b2c90-bb7a-4fc7-9f57-356d726ad705 · inbound

FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation cites this paper.

FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 22

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source=pdf_text observed=2026-08-12T05:13:20.293620Z digest=sha256:6113ca8199dff7ba1921701d797450bf6f39f7c323235a04ea680dbec7f9ba50

Observation 2460614b-f65a-42e7-98cc-58d6d7ef9e82 · inbound

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark cites this paper.

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 22

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source=pdf_text observed=2026-08-11T21:35:18.460700Z digest=sha256:91d4fe3d8d4e8d52c7ce76a6d350fecab6f637df0bb659dcb6a98b64a54af71f

Observation 4129d841-7740-4b96-9aeb-b16775c73e76 · inbound

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance cites this paper.

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 1

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source=pdf_text observed=2026-08-11T10:42:59.180543Z digest=sha256:41766b02431ba4ccfcaafb118cc54668cf02e95209318d2f4d773f50475666b4

Observation 8358f799-b291-4539-af25-cb3e8da9bec5 · inbound

DepthMamba with Adaptive Fusion cites this paper.

DepthMamba with Adaptive Fusion From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 14

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source=pdf_text observed=2026-08-10T23:47:44.909539Z digest=sha256:9eb4371e2a5a19beff705d9a70afec1ed79d6ffcea293aab279a8b59256d0ccf

Observation a1f905eb-6013-46d5-8963-1d0621f67b2a · inbound

MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning cites this paper.

MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 24

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source=pdf_text observed=2026-08-10T23:27:12.502868Z digest=sha256:6d20bc3fd3c9b8052234fd78f1b5519d685bebe084e740296f8da6a55fa2a8e1

Observation 0133929b-9897-4f02-aa1b-aaf2e0aa37be · inbound

PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation cites this paper.

PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 31

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source=pdf_text observed=2026-08-10T22:39:32.478208Z digest=sha256:19e89d05296e639a8e9f2537aa85974feefd34b159d55faeda6083c91cc00c33

Observation b281e777-cdb3-40dc-ac07-d032c24ae0b4 · inbound

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks cites this paper.

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 30

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no resolver link, observed 2026-08-10T16:50:11.098642Z

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source=pdf_text observed=2026-08-10T16:50:11.098642Z digest=sha256:380752d48bec49e8dc96ac150e8caa9a7aa55fbc682f7437adc1d312f1cfec73

Observation 4e270c57-cb67-45a0-a4e2-2bdc2a7925cf · inbound

CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery cites this paper.

CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 52

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no resolver link, observed 2026-08-07T23:23:27.556861Z

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source=pdf_text observed=2026-08-07T23:23:27.556861Z digest=sha256:424691a5ffeb5a1ce42b391f045cef44f51ffd6a7f3732276b7ba29513e15fde

Observation e0a928ea-9d04-4695-bca1-74f912ed4812 · inbound

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler cites this paper.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 41

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arxiv_id, observed 2026-05-17T09:11:04.272486Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T09:11:04.176769Z digest=sha256:f29bd74bebf863ad7110f7fbf879fef6a45962557483b9bebbdfdbb4baf3f154

Observation 4a4f85b9-778b-4150-908f-b564cea42885 · inbound

Radar-Guided Polynomial Fitting for Metric Depth Estimation cites this paper.

Radar-Guided Polynomial Fitting for Metric Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 23

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arxiv_id, observed 2026-05-22T22:37:12.819453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T22:35:56.031755Z digest=sha256:9efff62c3998a5e57b9da55bb0bee567c492bb5f7b954212b6c89ec583c7d38e

Observation 0baf5920-4613-4d48-aaa8-e73f68d462b7 · inbound

Metric-Solver: Sliding Anchored Metric Depth Estimation from a Single Image cites this paper.

Metric-Solver: Sliding Anchored Metric Depth Estimation from a Single Image From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 22

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source=pdf_text observed=2026-08-16T12:40:25.329294Z digest=sha256:e5464241e3c16699302345f0584939d226f86c31e37e425eba90c51c4723ac17

Observation 713d42cc-8cad-459b-95b5-fa016402bc45 · inbound

MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation cites this paper.

MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 40

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source=pdf_text observed=2026-08-16T11:41:25.182638Z digest=sha256:d77e7467cc8b75aa139257d5940eb57681261c47d669a0567e7ef13524403aaf

Observation 4245d455-e257-40ab-98ef-9c18ef982e79 · inbound

VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery cites this paper.

VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 22

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source=arxiv_source observed=2026-08-16T00:48:21.551810Z digest=sha256:b7e6863bb7e82f142f2393c91efd7b820545b8ae2bfebe1cff288337336900ba

Observation 03ec5e16-2b97-4d7b-8384-72d2512438b5 · inbound

Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis cites this paper.

Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 44

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source=pdf_text observed=2026-08-15T21:39:14.106919Z digest=sha256:5aedba8a65d2d6721984b63d30dadcf62d2bb97ffb03a79bf8edcd1ae7d993e3

Observation ecca2751-e44d-4fad-b137-3eec29525a93 · inbound

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World cites this paper.

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

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no resolver link, observed 2026-08-07T15:09:35.283199Z

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source=pdf_text observed=2026-08-07T15:09:35.283199Z digest=sha256:830b9d920b985396d0459042aa394279d976037e942a9a3a5bc32d9b922c6dfb

Observation 6f492167-3627-4942-9990-025d74086a60 · inbound

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth cites this paper.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 38

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source=pdf_text observed=2026-08-07T10:44:59.935366Z digest=sha256:b3a32645c0b4725dd12fac62f25d5d890f144b8b44e1174537f429c7ee0c9820

Observation f52ca82a-ce1c-4165-8838-3ac3637bbeb8 · inbound

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching cites this paper.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 24

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no resolver link, observed 2026-08-06T22:04:13.545473Z

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source=pdf_text observed=2026-08-06T22:04:13.545473Z digest=sha256:71f78740d7d62495bdd05a4673693a2b8404c85cefb8d55e4bd6d685b903eaab

Observation 87d337d1-b255-4ced-9012-295f4bf1975d · inbound

DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation cites this paper.

DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 31

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source=pdf_text observed=2026-08-06T20:56:22.045611Z digest=sha256:463e4c3bddc93fc7bd9244ebd1bdcbbe4d91fc35600faea3edf09ce1ac1ff7fc

Observation 0bc9fa07-1787-42e8-97dd-a52b7192742a · inbound

Region-aware Depth Scale Adaptation with Sparse Measurements cites this paper.

Region-aware Depth Scale Adaptation with Sparse Measurements From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 20

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source=pdf_text observed=2026-08-06T15:53:57.908447Z digest=sha256:9ff4fc5ff73803cc77ad66dceaf2bf6747cc6d0615d5a791d603b02f932936b6

Observation 3f5546be-2508-4884-9715-adc7fbebe095 · inbound

Compact and robust optical frequency reference module based on reproducible and redistributable optical design cites this paper.

Compact and robust optical frequency reference module based on reproducible and redistributable optical design From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 18

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source=pdf_text observed=2026-08-06T00:54:38.007952Z digest=sha256:4ff40fbc407e865024007bdb12c7f9b2bec52ff0b5caf15fcb1277dbbe87ec4b

Observation 1e13453e-bc70-4481-8169-712e0e549340 · inbound

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment cites this paper.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 25

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source=pdf_text observed=2026-08-05T23:59:31.963659Z digest=sha256:07eb87863a47026829092b9e1d3c8992166a3bb19833d96cd1004185f0e6bd23

Observation c083f596-3950-4200-8891-0533b8743447 · inbound

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving cites this paper.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 41

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arxiv_id, observed 2026-05-21T23:30:46.235798Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T23:25:59.908437Z digest=sha256:60fb9c92681e5956acc9cf51180d8446a2f60d5ff4bea41b5f07956ea7a5df92

Observation f4612589-1e1a-49a3-bf0b-12ac34be525a · inbound

Generalizing Monocular 3D Object Detection cites this paper.

Generalizing Monocular 3D Object Detection From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 118

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source=pdf_text observed=2026-08-15T16:56:46.011101Z digest=sha256:0b7eda48532e9f6c525d2fc4367b23e49920316aab84dd44f15ee30ced030d03

Observation d4cbc3d3-6812-41d0-b0df-1272fcf2a258 · inbound

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning cites this paper.

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 96

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source=pdf_text observed=2026-08-05T13:38:01.697274Z digest=sha256:3a3bc152f066e0e53f7e2b01de3f3e06d90533a9c77f02010bb1e2bd4da1297a

Observation bb0ee6c5-5c39-4e32-9c7a-8c905b3edc8a · inbound

XD-RCDepth: Lightweight Radar-Camera Depth Estimation with Explainability-Aligned and Distribution-Aware Distillation cites this paper.

XD-RCDepth: Lightweight Radar-Camera Depth Estimation with Explainability-Aligned and Distribution-Aware Distillation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 6

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no resolver link, observed 2026-08-04T09:46:37.078220Z

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source=pdf_text observed=2026-08-04T09:46:37.078220Z digest=sha256:ec8ab9a70861b0c745410491a3834450702769e383b0a61432d0e5f65bb55a59

Observation c8fae205-897c-4d8e-a583-2c66a8feca51 · inbound

Accuracy Does Not Guarantee Human-Likeness: Cross-Domain Human-Centered Benchmark in Monocular Depth Estimation cites this paper.

Accuracy Does Not Guarantee Human-Likeness: Cross-Domain Human-Centered Benchmark in Monocular Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 33

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no resolver link, observed 2026-08-04T06:45:06.133995Z

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source=pdf_text observed=2026-08-04T06:45:06.133995Z digest=sha256:6f361f73014d2445348613819a8746830f30c4b16ba236886130507811d697d3

Observation f6a87237-8490-41fd-9fcc-4b14c4639b03 · inbound

G3Splat: Geometrically Consistent Generalizable Gaussian Splatting cites this paper.

G3Splat: Geometrically Consistent Generalizable Gaussian Splatting From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 34

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no resolver link, observed 2026-08-03T15:19:47.256981Z

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source=pdf_text observed=2026-08-03T15:19:47.256981Z digest=sha256:c3005eb3989ae97d7bb3c7c4043e322db8867c2694e44669861f0eb661c4f3b6

Observation 84c259eb-14a5-4cbf-b105-0c1d0510bca4 · inbound

RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes cites this paper.

RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 30

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verified exact
arxiv_id, observed 2026-05-16T02:57:11.762536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T02:54:48.648483Z digest=sha256:16fce89b8659d1b32af5e5d4bd6a0c013ae1decd5a1f63ce68d719307d034f72

Observation 479b54b3-dd32-4198-8262-02a94c8be8c6 · inbound

Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation cites this paper.

Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 25

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metadata mismatch
arxiv_id, observed 2026-05-15T18:21:27.057631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T18:20:23.261847Z digest=sha256:9ac775dc2531dc6950d4656574c7b502b41605c21e48663996dc0b49a2960b41

Observation 624b166d-0adf-4538-8b93-51be3a8a6e79 · inbound

UniDAC: Universal Metric Depth Estimation for Any Camera cites this paper.

UniDAC: Universal Metric Depth Estimation for Any Camera From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:33:10.621676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T22:29:43.630749Z digest=sha256:3a480e61c8c4a4f338663acb7bc5adfbb7cc4545c2cde19d3ec832e291afbdf5

Observation fe158d75-5912-46de-aa89-7b4a84f76aaf · inbound

Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction cites this paper.

Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:03:12.269551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T20:01:57.029143Z digest=sha256:71a5d21ad41a0fe6a7eaf7284c69528e09425a211d354605370b678d9b07e72e

Observation b1923b16-ebce-4c5d-89a7-a7f0258e59d9 · inbound

LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation cites this paper.

LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:54.788805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T19:11:24.288208Z digest=sha256:e5a4f8ed5d7d9dc858d334916fdba6594c13fdc34c6ae35ef843fe006c2b0835

Observation cdd8816b-2ab4-4956-ba59-9a7a5ddafb13 · inbound

VDPP: Video Depth Post-Processing for Speed and Scalability cites this paper.

VDPP: Video Depth Post-Processing for Speed and Scalability From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:36:05.028907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T18:01:31.891476Z digest=sha256:90dfb30dfbaaacaec5101147599dc936c3a899db614a2538716c6f59add854d1

Observation 1abc7841-792f-4788-b6f1-c0e926de48ac · inbound

Last-Layer-Centric Feature Recombination: Unleashing 3D Geometric Knowledge in DINOv3 for Monocular Depth Estimation cites this paper.

Last-Layer-Centric Feature Recombination: Unleashing 3D Geometric Knowledge in DINOv3 for Monocular Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:16:27.839665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-07T11:34:30.349908Z digest=sha256:a43244de46e9586eb1ec5759514b1ec19bee5697003607ac1858e664db3fc948

Observation 2ad44488-c994-43d5-8b1a-043b2636682a · inbound

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing cites this paper.

VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.682962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T01:03:09.942984Z digest=sha256:a219e200886b48ffa0256a75ab317dbce9f812af753a912cc6c37463d09ee19f

Observation 8bbb57a9-5733-4ff7-8c97-b206e741ae0b · inbound

Efficient Hybrid CNN-GNN Architecture for Monocular Depth Estimation cites this paper.

Efficient Hybrid CNN-GNN Architecture for Monocular Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:18.760084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T03:20:11.827500Z digest=sha256:d85b1e886f2f54ebb04c9f7c283d63e1c8b132e6be5d3db3cf5388ab529a5a1d

Observation b26014bb-1fa7-480b-a631-3b464e6cfeef · inbound

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping cites this paper.

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:03:26.487201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T12:57:21.122085Z digest=sha256:542d87b0fba209a0c6a3f5ef4366f404258e03accf15b6aff38b070e538a4434

Observation fa90a5d2-83d7-42c9-8ca4-7ff5d0d4cb6d · inbound

VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching cites this paper.

VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow Matching From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:46.817296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T23:10:29.250087Z digest=sha256:0c002c3db16e79075c0bc929e04e3e7a96eadb4840f60ae6e3cfdd31b2e7f877

Observation 78317259-bb70-4afc-9c69-fdc911f8532c · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:32.055745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:35cc2ab6952f33daad55e48a53b512d8d4688f81e453775a85aec403eb19e72a

Observation 8aea4d51-7b20-4f20-95dc-c6ed7fcb65dd · inbound

DrivingDepth: Sparse-Prompted Pixel-wise Scale Correction for Driving Depth Estimation cites this paper.

DrivingDepth: Sparse-Prompted Pixel-wise Scale Correction for Driving Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.364991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-01T06:13:09.975710Z digest=sha256:f4e700994c114a2b5de40c45befa9ba977a8b7550a09adc2168bdf8cdb6639cb

Observation eea00bca-9a9e-4203-a417-f9412ef39471 · inbound

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations cites this paper.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-11T21:42:00.898441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:42:00.898441Z digest=sha256:f677420e41d05ae2ca28dc26f6d2e96a5c00c6abe00d866a7cacadf91eb435ad

Observation 06da7151-1cd9-412d-8ac6-841e63691962 · inbound

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

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:19.702782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:16:19.702782Z digest=sha256:acfb4aca8688ce08baa60c85a935d17b0c447969193b46a17d24168ffb8b8839

Observation e9dfa5de-588d-4ba7-af6f-e8df6ea3d626 · inbound

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV cites this paper.

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-01T07:32:55.456269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:32:55.456269Z digest=sha256:6666a664478ee760f9d84efa6717a757f1e9e310d995cd1f21fb54a32437addd

Observation 154c9ffa-849d-49e8-83d1-71a13c9340e6 · inbound

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving cites this paper.

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T07:15:39.746387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:15:39.746387Z digest=sha256:a93a52b3d65dd7bbd5ce299ea0798a696657c86d9049bba6c525b2144e3caa30

Observation 806712df-c4eb-4e47-821d-25145414c8d9 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:45.779189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:45.779189Z digest=sha256:c9b0340bcc65affbe369a80ffb0c39f08275f2867a006a695d01a740b0ad6270

Observation e5dab7b1-c478-42b7-8954-3b857663d00e · inbound

Repurposing RGB-based Foundation Model for Depth Estimation on Thermal Images Using Hierarchical Supervision cites this paper.

Repurposing RGB-based Foundation Model for Depth Estimation on Thermal Images Using Hierarchical Supervision From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:40:46.223004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:40:46.223004Z digest=sha256:0a715b12c594334c627342098b0cfb573adfde400f591ea6ba7370c341167b6b