Paper Citation Record · LEDGER

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.10886.

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

pith.paper-citation-record.v1
2411.10886 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:15:06.200398Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy11
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f533304d-d90a-496e-bab0-a2a2b54fdd1e · outbound

This paper cites Improving image generation with better captions.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Improving image generation with better captions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.420440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87ba2b1a-cdff-4c89-987d-29d1d51ba17f · outbound

This paper cites Virtual KITTI 2.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Virtual KITTI 2

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.136115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40171bff-cfc6-4b24-9b67-ef8d5b2fc3b5 · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.406999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81d6a3ab-992c-4f74-afa4-dd5051c05413 · outbound

This paper cites Towards zero-shot scale-aware monocular depth estimation.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Towards zero-shot scale-aware monocular depth estimation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.395203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88d08097-b4ff-426f-a41f-8c5f25c65361 · outbound

This paper cites Distilling diffusion models into conditional gans, 2024.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Distilling diffusion models into conditional gans, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.383374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1d4ab9a-772c-4bdf-8d2c-6d6da47c269f · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation, 2024.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Repurposing diffusion-based image generators for monocular depth estimation, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.370744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59008a89-67ad-4c59-9a24-22813dbf0b8e · outbound

This paper cites V A-DepthNet: A variational approach to single image depth prediction.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation V A-DepthNet: A variational approach to single image depth prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.359196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ee41a8a-48f5-4665-9450-5ff6e29fa756 · outbound

This paper cites Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.161041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fd516f-475e-4ac6-bf88-304c843aa85f · outbound

This paper cites Dinov2: Learning robust visual features without supervision, 2024.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Dinov2: Learning robust visual features without supervision, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.164434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7442176e-467c-48f0-8771-d1b29df730b1 · outbound

This paper cites Vision transformers for dense prediction.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Vision transformers for dense prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.334724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5713826c-c68d-4726-b94f-06fd18a9231d · outbound

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

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.322663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41c1b4df-030b-400e-a6f6-17373142c8e7 · outbound

This paper cites Susskind.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Susskind

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.174426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00cb382-3b86-44d1-8371-ed374f4b9d83 · outbound

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

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation High- resolution image synthesis with latent diffusion models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.177871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c683b220-fa7f-4866-bdd8-c5550825ea1f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Photorealistic text-to-image diffusion models with deep language understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.182535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 900ee7fe-ecbc-4667-bbce-a3b2af90f451 · outbound

This paper cites an unresolved cited work.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:15:06.290476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6768d3d8-2d71-48d3-a523-c13e9d444860 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam, 2020.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Tartanair: A dataset to push the limits of visual slam, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.278279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b302da65-73eb-4612-a14b-93ccae1c5a22 · outbound

This paper cites Depth anything v2, 2024.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Depth anything v2, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:15:06.193384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbd50f3-d6f8-4dca-bb1a-2a10fd4c41dd · outbound

This paper cites Metric3D: Towards zero-shot metric 3d prediction from a single image.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation Metric3D: Towards zero-shot metric 3d prediction from a single image

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.259206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7569aab5-63dd-449d-bb02-172e95247c83 · outbound

This paper cites NeWCRFs: Neural window fully-connected CRFs for monocular depth estimation.

MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation NeWCRFs: Neural window fully-connected CRFs for monocular depth estimation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:15:06.245588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.