Paper Citation Record · LEDGER

DepthMamba with Adaptive Fusion

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.19964.

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

pith.paper-citation-record.v1
2412.19964 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:47:44.970772Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e4426b8-2732-4a30-9e3f-eecd8241368d · outbound

This paper cites Multiview depth estimation by fusing single-view depth probability with multi-view geometry.

DepthMamba with Adaptive Fusion Multiview depth estimation by fusing single-view depth probability with multi-view geometry

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.357489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf78b815-215f-47df-83f3-a4818191fc61 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

DepthMamba with Adaptive Fusion Adabins: Depth estimation using adaptive bins

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.344919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b398b9e-a6ab-4d90-a907-4286eee1aeeb · outbound

This paper cites an unresolved cited work.

DepthMamba with Adaptive Fusion Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:47:45.384065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd56929b-ef1a-4500-a1d2-7a1a093b65fd · outbound

This paper cites Two prominent datasets in this field are the KITTI and DDAD datasets, each providing valuable resources for developing and benchmarking stereo vision systems.

DepthMamba with Adaptive Fusion Two prominent datasets in this field are the KITTI and DDAD datasets, each providing valuable resources for developing and benchmarking stereo vision systems

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T23:47:45.370778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88fef307-e64d-4735-9823-ef8f6bb3f9aa · outbound

This paper cites Point -based multi-view stereo network.

DepthMamba with Adaptive Fusion Point -based multi-view stereo network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.331674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f488926c-9a2e-401d-9117-a4ab69db968c · outbound

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

DepthMamba with Adaptive Fusion Depth anything: Unleashing the power of large-scale unlabeled data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.318878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f94819a-c216-4c15-9dbe-ab140876cb3f · outbound

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

DepthMamba with Adaptive Fusion Repurposing diffusion-based image generators for monocular depth estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.305767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47d8ca43-c5e6-47ad-bcf3-4539be7ed389 · outbound

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

DepthMamba with Adaptive Fusion Depth map prediction from a single image using a multi-scale deep network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.292481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5cc87d26-f75b-4dda-85eb-a5cd816d6473 · outbound

This paper cites Single-view and multi-view depth fusion.

DepthMamba with Adaptive Fusion Single-view and multi-view depth fusion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.278656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d105399d-2638-4e71-b510-419fe8cfe762 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

DepthMamba with Adaptive Fusion Deep ordinal regression network for monocular depth estimation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.265059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 532a70dc-3a13-43f6-8ed2-e392310b4f9e · outbound

This paper cites Vision meets robotics: The kitti dataset.

DepthMamba with Adaptive Fusion Vision meets robotics: The kitti dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.251694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 707308fb-730e-4807-96c3-e18b3a553031 · outbound

This paper cites Digging into self-supervised monocular depth estimation.

DepthMamba with Adaptive Fusion Digging into self-supervised monocular depth estimation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.238293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a4fb547-663c-4d08-a488-8918fb0acf84 · outbound

This paper cites Cascade cost volume for high-resolution multi-view stereo and stereo matching.

DepthMamba with Adaptive Fusion Cascade cost volume for high-resolution multi-view stereo and stereo matching

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.224546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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

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

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

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:44.909539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17aa15c-c216-4cea-bd4a-b45ad6a94de9 · outbound

This paper cites Multi- view depth estimation using epipolar spatio-temporal networks.

DepthMamba with Adaptive Fusion Multi- view depth estimation using epipolar spatio-temporal networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.211685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91b4b9df-5e53-4b7d-bc81-1bf7bc7d1954 · outbound

This paper cites Decoupled Weight Decay Regularization.

DepthMamba with Adaptive Fusion Decoupled Weight Decay Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:44.918859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d39c9a-5037-4c3b-bbda-e7621544d390 · outbound

This paper cites Multi -level context ultra-aggregation for stereo matching.

DepthMamba with Adaptive Fusion Multi -level context ultra-aggregation for stereo matching

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.197849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa5d9013-ecc4-4f7c-82f7-7c07fc1fcb57 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

DepthMamba with Adaptive Fusion Pytorch: An imperative style, high-performance deep learning library

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.183548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1ab6520-6fb8-42ad-b2e5-8f30b281ca26 · outbound

This paper cites Feature-metric loss for self- supervised learning of depth and egomotion.

DepthMamba with Adaptive Fusion Feature-metric loss for self- supervised learning of depth and egomotion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.169925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0892eaf-37bd-4979-87b6-7f4adfe3e29c · outbound

This paper cites DeepV2D: Video to Depth with Differentiable Structure from Motion.

DepthMamba with Adaptive Fusion DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:44.935918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a199258d-3f89-40b5-ad8b-495670b3189a · outbound

This paper cites Patchmatchnet: Learned multi-view patchmatch stereo.

DepthMamba with Adaptive Fusion Patchmatchnet: Learned multi-view patchmatch stereo

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.155894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a2abece-2187-42fa-ab41-ba8b662e9778 · outbound

This paper cites Itermvs: Iterative probability estimation for efficient multi-view stereo.

DepthMamba with Adaptive Fusion Itermvs: Iterative probability estimation for efficient multi-view stereo

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.141396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation defffe85-b47d-4848-b518-0b9dac2be11a · outbound

This paper cites Mvs2d: Efficient multi-view stereo via attention-driven 2d convolutions.

DepthMamba with Adaptive Fusion Mvs2d: Efficient multi-view stereo via attention-driven 2d convolutions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.126827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a251051d-e5ca-4f86-9139-3d8745a3cad2 · outbound

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

DepthMamba with Adaptive Fusion Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.110886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 074c8374-cd52-421a-9f03-275eaf6ca490 · outbound

This paper cites Fast -mvsnet: Sparse-todense multi-view stereo with learned propagation and gaussnewton refinement.

DepthMamba with Adaptive Fusion Fast -mvsnet: Sparse-todense multi-view stereo with learned propagation and gaussnewton refinement

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.096192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 32722e12-c81a-4a9a-9521-c9447678e91e · outbound

This paper cites Computing the stereo matching cost with a convolutional neural network.

DepthMamba with Adaptive Fusion Computing the stereo matching cost with a convolutional neural network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:47:45.081318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc2de490-5ad5-48a7-8d30-fdfe54ca0564 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

DepthMamba with Adaptive Fusion Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:44.966144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57888a18-5441-407d-a54b-dd8ed4d56ecb · outbound

This paper cites VMamba: Visual State Space Model.

DepthMamba with Adaptive Fusion VMamba: Visual State Space Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:44.970772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.