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Paper Citation Record · LEDGER

Monocular Depth Estimation using Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.14816.

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

pith.paper-citation-record.v1
2302.14816 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:34:03.910640Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:24:19.408294Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 29be6125-1911-4bc7-a7dd-ccd64003003b · inbound

CAT3D: Create Anything in 3D with Multi-View Diffusion Models cites this paper.

CAT3D: Create Anything in 3D with Multi-View Diffusion Models Monocular Depth Estimation using Diffusion Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:29:51.160010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T21:29:51.062396Z digest=sha256:f444893d4b63e6fcceb535b635d44f88ee8c71c18965076529c444b223074c27

Observation f62b748c-a7e3-4957-b59b-14089bf70a18 · inbound

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment cites this paper.

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment Monocular Depth Estimation using Diffusion Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:34:03.910640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:34:03.910640Z digest=sha256:b49c743f1bf2c82768f95d83f75f20b306b3e9070f9dfa5f5c5498cf58660978

Observation ac07caa4-dc23-4e16-934c-5573f52ffef8 · inbound

DreamCube: 3D Panorama Generation via Multi-plane Synchronization cites this paper.

DreamCube: 3D Panorama Generation via Multi-plane Synchronization Monocular Depth Estimation using Diffusion Models

Reference 45

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unresolved
no resolver link, observed 2026-08-06T23:35:06.094752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:06.094752Z digest=sha256:9c5ab7a87d30255499a7942f2a8feb2844eff1d0e52212e3f31aebdae9c0d9d2

Observation 6f16495f-6ce2-47db-9004-608a320039f3 · inbound

Geometry-aware 4D Video Generation for Robot Manipulation cites this paper.

Geometry-aware 4D Video Generation for Robot Manipulation Monocular Depth Estimation using Diffusion Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:14:27.907942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T00:12:39.787489Z digest=sha256:3269a1ee0cb2c1ad249f38f631eabb005e77c5700a4a86da2dd7cc93290f0867

Observation b192b809-42f6-49a3-ac69-2d84ae1042c9 · inbound

Depth Anything at Any Condition cites this paper.

Depth Anything at Any Condition Monocular Depth Estimation using Diffusion Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:52:02.557572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:52:02.557572Z digest=sha256:d7a8b9a85094691ed6052ec186066d361f35858da1019df20b7b50fa95c0b23f

Observation 8fff7398-d0bf-4b82-ac06-fa63fa1e7609 · inbound

FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model cites this paper.

FMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model Monocular Depth Estimation using Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:43.488508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:43.488508Z digest=sha256:c225e3c19f488b812bbcff2527a45b26d60e5a1e00ca5f45fa0c3e2b67c44443

Observation d1b7ca66-9c00-4dc8-84e1-c35032f3746e · inbound

Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion cites this paper.

Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion Monocular Depth Estimation using Diffusion Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T10:46:34.737171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:46:34.737171Z digest=sha256:9222f053c40d6ecb90787e59745ee524d756f0be68e3930f1474064dadfd8604

Observation 4b829748-0ab1-4d0b-bf68-ac955dcf1dc7 · inbound

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models cites this paper.

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models Monocular Depth Estimation using Diffusion Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:34.285597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:15:34.285597Z digest=sha256:6e1ce9b73fc5277405df4a482a4ceba90a9d98eac622f3a90c832d763903d17a

Observation 6d1e6cdc-678c-45a5-a5cf-40318230d1c1 · inbound

Diffusion Model as a Generalist Segmentation Learner cites this paper.

Diffusion Model as a Generalist Segmentation Learner Monocular Depth Estimation using Diffusion Models

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:41:15.639493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:37:20.434070Z digest=sha256:b3714707d3d37be169f6257a006ba96846f940fcb0da8846c0fcdd91d6a02d8b

Observation 4205046d-8c00-4317-b06d-ed4d32446abf · inbound

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction cites this paper.

MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense Prediction Monocular Depth Estimation using Diffusion Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:24:19.410307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:17:53.096700Z digest=sha256:7732782232c57573fb68d5e04577d4ae0f3ab40b349f31de6d0f9092d88275a2