Paper Citation Record · LEDGER

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

As of 17 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2508.04611.

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

pith.paper-citation-record.v1
2508.04611 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:59:35.792565Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.564988Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:16:16.734455Z

Reference resolution

61 of 61 outbound references displayed

verified exact1
verified fuzzy43
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afcd6446-2bfb-4dbc-8018-46056d4fa50d · outbound

This paper cites Multi- view depth estimation by fusing single-view depth prob- ability with multi-view geometry.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Multi- view depth estimation by fusing single-view depth prob- ability with multi-view geometry

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:44.289388Z

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Observation 668515b1-6458-4cff-8030-58ffc0079477 · outbound

This paper cites Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

Reference 2

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Observation e9be24d5-f1a7-4565-8999-db84e6f16bd0 · outbound

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

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

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Observation a24c22ff-1fb1-4e5e-b1d7-5abd2657b5f0 · outbound

This paper cites Pyramid stereo matching network.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Pyramid stereo matching network

Reference 4

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Source-reported events for the cited work

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Observation b4ab422a-6779-4676-988a-f7496d937a9a · outbound

This paper cites Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:59:36.374186Z

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Observation 8b84238e-ba0f-4182-a057-7b79fc40b69c · outbound

This paper cites Monster: Marry monodepth to stereo unleashes power.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Monster: Marry monodepth to stereo unleashes power

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:30.348568Z

Source-reported events for the cited work

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Observation 5633c501-51f7-4781-ae8a-f5aa602bea56 · outbound

This paper cites Learning depth with convolutional spatial propagation network.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Learning depth with convolutional spatial propagation network

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:44.187718Z

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Observation 24a23c28-2059-4bec-bf01-95fef1cc7549 · outbound

This paper cites Hierarchical neural architecture search for deep stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Hierarchical neural architecture search for deep stereo matching

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:44.024903Z

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Observation af656bd6-9871-443f-8d8b-9080dec5a89b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Observation ab28d294-e467-4355-b4fc-86dbe9d74f0c · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Depth map prediction from a single image using a multi-scale deep net- work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.836778Z

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Observation 66b03683-5e7d-4543-a2c6-675f8e0d7ffd · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:30.816464Z

Source-reported events for the cited work

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Observation d1649be2-f62c-4fab-80bb-508af28b4a08 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.678559Z

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Observation 174cc6db-30ac-4001-8ecb-c14ace44c070 · outbound

This paper cites Neural markov random field for stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Neural markov random field for stereo matching

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.528874Z

Source-reported events for the cited work

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Observation f27056fa-ac31-4b61-be96-0cd1ab2a4861 · outbound

This paper cites Context-enhanced stereo transformer.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Context-enhanced stereo transformer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.408874Z

Source-reported events for the cited work

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Observation be31e709-0d82-49b3-a671-68f2ff286556 · outbound

This paper cites Group-wise correlation stereo network.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Group-wise correlation stereo network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.264389Z

Source-reported events for the cited work

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Observation 14e7924d-0ebf-4ea3-9a6b-20e8df6ad62f · outbound

This paper cites Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Reference 16

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Source-reported events for the cited work

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Observation b9f2c839-7c7a-4764-9989-fbb819887f4a · outbound

This paper cites Deep residual learning for image recognition.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Deep residual learning for image recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:31.247652Z

Source-reported events for the cited work

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Observation d847719a-8e73-48e3-9906-960a82b9f3df · outbound

This paper cites Gaussian Error Linear Units (GELUs).

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Gaussian Error Linear Units (GELUs)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:31.335763Z

Source-reported events for the cited work

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Observation 9a08ecb6-c80d-4692-87b9-ca0783dd70ad · outbound

This paper cites Stereo processing by semiglobal match- ing and mutual information.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Stereo processing by semiglobal match- ing and mutual information

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:43.116017Z

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Observation be8fb9a6-43c6-450e-8b7e-41649d5a4883 · outbound

This paper cites Learning accurate 3d shape based on stereo polarimetric imaging.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Learning accurate 3d shape based on stereo polarimetric imaging

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:42.910805Z

Source-reported events for the cited work

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Observation 87821c19-df6c-4eb0-a60d-1b4fa0d12ace · outbound

This paper cites DEFOM-Stereo: Depth Foundation Model Based Stereo Matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment DEFOM-Stereo: Depth Foundation Model Based Stereo Matching

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:31.664672Z

Source-reported events for the cited work

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Observation 48fee5dc-32c6-47d0-8145-1e9cc7068d4b · outbound

This paper cites Uncertainty guided adaptive warping for robust and efficient stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Uncertainty guided adaptive warping for robust and efficient stereo matching

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:42.662459Z

Source-reported events for the cited work

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Observation c4d2d4ac-3225-4324-b914-c7166b88e43b · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:42.374874Z

Source-reported events for the cited work

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Observation a7929370-8e90-4488-b2d3-68cf2bf6099d · outbound

This paper cites End-to-end learning of geometry and context for deep stereo regression.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment End-to-end learning of geometry and context for deep stereo regression

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:42.145617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

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

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:31.963659Z

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Observation 1a2652fa-d54d-4228-9769-9f29ee62c101 · outbound

This paper cites Practical stereo matching via cascaded recurrent net- work with adaptive correlation.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Practical stereo matching via cascaded recurrent net- work with adaptive correlation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:42.017670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1be67994-4e38-4084-a9fd-00742500fa61 · outbound

This paper cites Los: Local structure-guided stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Los: Local structure-guided stereo matching

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.880211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d7f9b69-d3be-46e2-8d5c-dc3ef8fcba5e · outbound

This paper cites Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.751897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation beb6a81b-e729-427f-97a9-0854ebba6755 · outbound

This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.580870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33654a50-de64-42d5-b594-c68c447b67c6 · outbound

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

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:32.441710Z

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Observation 85ae3263-d2e0-4c80-b895-0312c7c8e155 · outbound

This paper cites A convnet for the 2020s.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment A convnet for the 2020s

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:32.538032Z

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Observation 2661ae07-c13c-41f7-b38b-e5bd6ad94826 · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.420093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac053ff7-425f-427b-9726-2989998ec923 · outbound

This paper cites Object scene flow for au- tonomous vehicles.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Object scene flow for au- tonomous vehicles

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.262407Z

Source-reported events for the cited work

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Observation 7659e319-eee5-4393-8437-af27f64d2312 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment DINOv2: Learning Robust Visual Features without Supervision

Reference 34

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Source-reported events for the cited work

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Observation 788f7f99-12c0-4cb4-87e7-fd8e50fcec47 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Unidepth: Universal monocular metric depth estimation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:41.097059Z

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Observation c5672e86-eb29-4bda-8a32-4c6be9d74ebe · outbound

This paper cites UniDepthV2: Universal monocular metric depth estimation made simpler, 2025.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment UniDepthV2: Universal monocular metric depth estimation made simpler, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:40.980269Z

Source-reported events for the cited work

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Observation 4976ac76-e972-45cd-a207-0b38824edcc7 · outbound

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

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:40.859205Z

Source-reported events for the cited work

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Observation b88c5481-307c-4375-9b3f-c7feefd2fd39 · outbound

This paper cites Vi- sion transformers for dense prediction.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Vi- sion transformers for dense prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:40.681616Z

Source-reported events for the cited work

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Observation 61ae375c-ab95-4d38-bb1b-23dbdacba553 · outbound

This paper cites Masked representation learn- ing for domain generalized stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Masked representation learn- ing for domain generalized stereo matching

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:40.495497Z

Source-reported events for the cited work

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Observation 8a9eac1a-cccc-4bb8-9d2b-010dd87bc4be · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment High-resolution image synthesis with latent diffusion models

Reference 40

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Source-reported events for the cited work

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Observation 1be7d3d0-bc85-4163-b9e4-869979e61e1f · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment High-resolution stereo datasets with subpixel-accurate ground truth

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:40.246801Z

Source-reported events for the cited work

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Observation ebeb9d55-8589-4138-9565-42dbf86f63e5 · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment A multi-view stereo benchmark with high- resolution images and multi-camera videos

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:39.972725Z

Source-reported events for the cited work

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Observation 3195866a-af1e-4979-9e9c-5013dd72e271 · outbound

This paper cites Cfnet: Cascade and fused cost volume for robust stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Cfnet: Cascade and fused cost volume for robust stereo matching

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:39.732326Z

Source-reported events for the cited work

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Observation 302da1de-037d-4bb1-a95a-eb283ee9fd1f · outbound

This paper cites Pcw-net: Pyramid combination and warping cost volume for stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Pcw-net: Pyramid combination and warping cost volume for stereo matching

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:39.502213Z

Source-reported events for the cited work

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Observation a04f572b-73a7-4b74-9321-6c885e9793ec · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Raft: Recurrent all-pairs field transforms for optical flow

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:39.289950Z

Source-reported events for the cited work

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Observation 5ee608de-0777-48c6-a4c2-abc9422eda44 · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:39.090750Z

Source-reported events for the cited work

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Observation 47c70ea2-17c5-43fd-8155-7af5d428d417 · outbound

This paper cites Selective-stereo: Adaptive frequency information selection for stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Selective-stereo: Adaptive frequency information selection for stereo matching

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:38.878819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 606e4c40-1cf3-4823-b456-0844f8b94a46 · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:38.720595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f3c0e39-fadb-4e61-9e58-00272a6f7427 · outbound

This paper cites FoundationStereo: Zero-Shot Stereo Matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment FoundationStereo: Zero-Shot Stereo Matching

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:34.069620Z

Source-reported events for the cited work

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Observation 21979546-604c-48f2-8280-3c300edf9ca8 · outbound

This paper cites Atten- tion concatenation volume for accurate and efficient stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Atten- tion concatenation volume for accurate and efficient stereo matching

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:38.510780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd3f180d-a6ad-422a-b141-99bb3df65aae · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Iterative geometry encoding volume for stereo matching

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:38.317701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c11b9ada-2d6a-4340-8f06-f6068ee60ced · outbound

This paper cites IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T23:59:34.495081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c59b1de6-296d-4a9d-bcb4-e068d46809bd · outbound

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

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Depth anything: Unleashing the power of large-scale unlabeled data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:38.153404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3b4dda8-53a0-4961-b39e-6d786b0f18fd · outbound

This paper cites Depth any- thing v2.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Depth any- thing v2

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:37.947003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1902cbe3-03e2-4f25-a6d5-6d4499d5716b · outbound

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

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:37.753961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a2a5934-e8cd-45f5-88c7-214151e1600a · outbound

This paper cites Open chal- lenges in deep stereo: the booster dataset.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Open chal- lenges in deep stereo: the booster dataset

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:37.578908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc5ad3ed-0f61-454a-bf3c-b0f7def922b5 · outbound

This paper cites Stereo matching by training a convolutional neural network to compare image patches.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Stereo matching by training a convolutional neural network to compare image patches

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:37.345190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a939be36-0352-4241-81bc-cccdc4a78957 · outbound

This paper cites Ga-net: Guided aggregation net for end-to- end stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Ga-net: Guided aggregation net for end-to- end stereo matching

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:37.163304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1de722fe-a9ed-4c22-a668-00b6e6b459b4 · outbound

This paper cites Domain-invariant stereo matching networks.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Domain-invariant stereo matching networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:36.967954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8deb7726-5123-47c8-97eb-f3eb203c9836 · outbound

This paper cites Learning representations from foundation models for domain generalized stereo matching.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment Learning representations from foundation models for domain generalized stereo matching

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:36.763834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30147161-57e7-47e8-bc0a-2642e50494b7 · outbound

This paper cites High-frequency stereo match- ing network.

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment High-frequency stereo match- ing network

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:59:36.555846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation ec333798-3ec4-48c7-bc61-1845f70e7550 · inbound

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching cites this paper.

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T11:10:14.106468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7acd7e3f-c87a-4f5b-a539-0806c6f15799 · inbound

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T10:53:37.123878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.