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Paper Citation Record · LEDGER

DepthFM: Fast Monocular Depth Estimation with Flow Matching

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2403.13788.

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

pith.paper-citation-record.v1
2403.13788 v2

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measured 0 of 0 reference resolution

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measured 27 of 27 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.265747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.566585Z

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Outbound references

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Pith citing papers

Observation 3868bcb5-7a35-4bbc-8b30-afdc23cc07f1 · inbound

Depth Anything V2 cites this paper.

Depth Anything V2 DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 25

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arxiv_id, observed 2026-05-13T14:56:34.166763Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8b75096f-af4a-4ce3-b314-56dc0ad8c5cc · inbound

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models cites this paper.

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 29

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source=pdf_text observed=2026-08-12T12:14:37.176099Z digest=sha256:d8cfbccf3e711bcc6b0bacd69f5e98ac1374478d0c6530905069dbdc8a237c51

Observation 22feaac2-643b-48ef-9212-fff47be37735 · inbound

Video Depth without Video Models cites this paper.

Video Depth without Video Models DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 18

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source=pdf_text observed=2026-08-12T10:31:01.691346Z digest=sha256:0d9e4e6e7dd1b6921fd3d6a62ce139eca2b14f273cce77b1821c05c9c120c484

Observation 1e02a011-c457-4570-b88d-e294b24f60ec · 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 DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 15

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source=pdf_text observed=2026-08-12T05:13:20.260098Z digest=sha256:ef22e878d2368cdcee21ed8bb24e6de57258607b43f7421c2cc5555d5b84f257

Observation 7ac46445-e9c7-40a7-9269-f7d283458799 · inbound

Amodal Depth Anything: Amodal Depth Estimation in the Wild cites this paper.

Amodal Depth Anything: Amodal Depth Estimation in the Wild DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 13

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no resolver link, observed 2026-08-11T23:41:18.895234Z

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source=pdf_text observed=2026-08-11T23:41:18.895234Z digest=sha256:cbf7c371089dd53537a6779accd622ee52c3fb65c3f6d4f293106209f364c9c1

Observation 379c0acc-0628-4953-8fd6-2585f8f043aa · inbound

Distillation of Diffusion Features for Semantic Correspondence cites this paper.

Distillation of Diffusion Features for Semantic Correspondence DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 28

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source=pdf_text observed=2026-08-11T22:24:44.013987Z digest=sha256:a0cac5a702b585233ee1f18e1aa45a75d55c95cd9a963257918c008bb6704465

Observation 20173af1-b389-4458-82f1-830fba100cb8 · inbound

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes cites this paper.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 18

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source=pdf_text observed=2026-08-11T14:58:48.393874Z digest=sha256:49618e5ce47cfcb73c3ed6c274abb4f5b1885cfcb464018bfbc2d4b3e6cdc61f

Observation fd8af60f-977f-424a-bd14-1dfa3c67ea35 · inbound

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion cites this paper.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 24

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source=pdf_text observed=2026-08-11T13:14:47.472861Z digest=sha256:729cc32eec9d2b492ad90f70316d62fe109a6aefd9751bccf9d9f0d1639179c0

Observation 01cbb2bb-fb1a-4a58-9fff-0290ed21ff4c · inbound

Rethinking Encoder-Decoder Flow Through Shared Structures cites this paper.

Rethinking Encoder-Decoder Flow Through Shared Structures DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 10

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source=pdf_text observed=2026-08-10T15:06:59.504757Z digest=sha256:858f3b458b8bd77df1572c39dbd2a7996cd6282788e5ddaa740d3a4ae24c133f

Observation 8d6cdb0e-5240-4ebf-be7d-09e66f5a3d2b · inbound

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior cites this paper.

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 20

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source=arxiv_source observed=2026-08-08T15:49:58.003264Z digest=sha256:55ce2688484d16e7f0b10ec8007db73d6ca088dc142edb99f55774c369bb30f9

Observation f5c7b225-a52d-4270-ba38-139458f3faa6 · 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 DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 11

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source=pdf_text observed=2026-08-16T12:40:25.265747Z digest=sha256:c9aefb5dc4e43d566a8f34136e2c9c9939cae9108e0d51b1555539934736f104

Observation b5d60dc6-6a97-4a7e-98f8-86ea4a363093 · inbound

Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings cites this paper.

Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 47

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source=pdf_text observed=2026-08-16T04:30:19.647160Z digest=sha256:5e26059e4b7eb406b4127387ee8c636cea698fa2319f9a630433466e48a6a229

Observation d6ccbfac-3da9-4503-a559-b18dc443973f · 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 DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 24

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no resolver link, observed 2026-08-15T21:39:13.981229Z

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source=pdf_text observed=2026-08-15T21:39:13.981229Z digest=sha256:cbb9c250359f0b22ee2b07f9676ec467452c348a7746c7f9620187588119f483

Observation dae4afbc-bdce-4fa7-ae40-d28e31289db5 · inbound

M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data cites this paper.

M3Depth: Wavelet-Enhanced Depth Estimation on Mars via Mutual Boosting of Dual-Modal Data DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 45

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no resolver link, observed 2026-08-07T15:42:35.419301Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:35.419301Z digest=sha256:1d330636b0484fb3e515b2d206cbb42b9f8fc466b1a5ecdc2b5c5667a2edeb5e

Observation 3edd2f4b-b25a-442d-8c8c-464056f0ed6d · inbound

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation cites this paper.

UniGeo: Taming Video Diffusion for Unified Consistent Geometry Estimation DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 19

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source=pdf_text observed=2026-08-07T12:26:58.307160Z digest=sha256:ac59b31129925080ba1d5823358602b57524a81d959d93a6e6537c9c2aaa7b41

Observation 8af009c3-ab12-4c04-ad36-b40d9543d934 · inbound

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models cites this paper.

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 115

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source=pdf_text observed=2026-08-07T11:36:13.490519Z digest=sha256:11515614de0256b0a868688902c9dd542b685e9f21d0aa6deadd2f2bf307749f

Observation bc8f44e7-edb9-47ff-ba2f-4946868797b3 · inbound

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details cites this paper.

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 18

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arxiv_id, observed 2026-05-14T21:19:44.248045Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 98098571-2293-4ee2-b828-559dda9b4c39 · inbound

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

Region-aware Depth Scale Adaptation with Sparse Measurements DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 15

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no resolver link, observed 2026-08-06T15:53:57.548037Z

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source=pdf_text observed=2026-08-06T15:53:57.548037Z digest=sha256:9a9c6355e5f4abccb5f0c3b4fc2d14a910d6c0a5d64158399e9e813dfed3977a

Observation 383facd8-6a2c-45c1-963e-433bf19c6f95 · inbound

Dens3R: A Foundation Model for 3D Geometry Prediction cites this paper.

Dens3R: A Foundation Model for 3D Geometry Prediction DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 2024

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Observation f6648327-3946-4312-8cbd-7834b0c7c924 · inbound

Qwen-Image Technical Report cites this paper.

Qwen-Image Technical Report DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 12

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arxiv_id, observed 2026-05-10T14:29:06.987991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 95ae4238-3912-4176-985a-21cfc792bf66 · inbound

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering cites this paper.

Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 20

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arxiv_id, observed 2026-05-18T22:21:53.169005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f00c533c-1ca1-4d5d-84ec-c901c062549c · inbound

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors cites this paper.

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 45

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arxiv_id, observed 2026-05-11T15:26:07.635560Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2de9c43-40ad-496e-9629-249646913a09 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 296

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arxiv_id, observed 2026-07-03T17:18:44.013158Z

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Observation 2d0a82a9-25cf-4f83-a325-e3ebe3568096 · inbound

SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry cites this paper.

SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 33

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arxiv_id, observed 2026-07-04T06:09:37.623978Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 31e6ef23-5aef-496c-ba76-e109987e29af · inbound

FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation cites this paper.

FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 12

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arxiv_id, observed 2026-07-04T16:49:57.568065Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T00:13:52.289469Z digest=sha256:c25c0bd1a1380b5b56702fb06b79ddfbb9e2f8619c9fb510410de154e357565e

Observation 8ad1bb3e-317e-4d32-88af-764e6b583b1b · inbound

UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception cites this paper.

UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 8

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arxiv_id, observed 2026-06-30T06:44:19.324895Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e600bb4-6e77-4694-9411-85d3326b7143 · 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 DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 121

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