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Paper Citation Record · LEDGER

Dense Depth from Event Focal Stack

As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2412.08120.

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

pith.paper-citation-record.v1
2412.08120 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:16:22.940791Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.648480Z

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

27 of 27 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf811cc9-3949-4254-8e4c-008129f342fd · outbound

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

Dense Depth from Event Focal Stack End-to-end learning of geometry and context for deep stereo regression

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.321339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.839693Z digest=sha256:9d74ae172916188fdaf504c2cec879e920d1935e7254da4934057cde3498faa5

Observation e6966bd1-fffd-4b99-8039-30a3cd889a24 · outbound

This paper cites A new sense for depth.

Dense Depth from Event Focal Stack A new sense for depth

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.308712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.843823Z digest=sha256:c39071961607407d02e4a57ad830210a1d78c0eaf04b3359084d3eacccf7a116

Observation 7aa92295-a018-4c99-bf97-91811b0fe8ed · outbound

This paper cites The Blender project - free and open 3d creation software, Accesed: 2023.

Dense Depth from Event Focal Stack The Blender project - free and open 3d creation software, Accesed: 2023

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.297390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.847837Z digest=sha256:6680600d08b04b90561e37e2b3aafd692f05e6c9a0c5d83443d006084afb0072

Observation 412688d0-2413-4f1a-b1cc-d4667c75cbe5 · outbound

This paper cites Learning Monocular Depth from Focus with Event Focal Stack.

Dense Depth from Event Focal Stack Learning Monocular Depth from Focus with Event Focal Stack

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:16:22.979265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.851497Z digest=sha256:a154ca611d4e879e9d6e3e65d6577064e2184af1182f9e9f735332e4f5522b2c

Observation 6ea69b47-c434-4635-9365-245c39463bf9 · outbound

This paper cites Eigen and R.

Dense Depth from Event Focal Stack Eigen and R

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.284120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.855878Z digest=sha256:9218a3829823365378d5a2d28b6f571bcdd2d43aadd765a117909b627609f3ae

Observation db99df53-8648-4d4f-8214-cb8eccaa47ec · outbound

This paper cites Kingma and Jimmy Ba.

Dense Depth from Event Focal Stack Kingma and Jimmy Ba

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.271918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.859764Z digest=sha256:fa043b1b18bae0d63b5a33dbdbcb5ed72b44c1cf742a1c89c4d7ed0dfbcaeb88

Observation 69100c85-8639-4e79-a6b5-0e98db7312ca · outbound

This paper cites Depthlab: Real-time 3d interaction with depth maps for mobile augmented reality.

Dense Depth from Event Focal Stack Depthlab: Real-time 3d interaction with depth maps for mobile augmented reality

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.259348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.863713Z digest=sha256:fa7706523fcd9de0a968a75c02420cf12654cd1a4a817e6183e3eb745eba405e

Observation eefae682-d082-4695-97e2-c0c00a14799b · outbound

This paper cites Deep depth from focus with differential focus volume.

Dense Depth from Event Focal Stack Deep depth from focus with differential focus volume

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.247545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.867213Z digest=sha256:1ba177ee4a0a473057db7c513577f011630e247b0e4b5ad416c5d7346fdc213e

Observation 20bba755-0187-4e36-b36f-53a04d909377 · outbound

This paper cites Davison, J¨org Conradt, Kostas Dani- ilidis, Davide Scaramuzza.

Dense Depth from Event Focal Stack Davison, J¨org Conradt, Kostas Dani- ilidis, Davide Scaramuzza

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.236298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.871248Z digest=sha256:6415851e10653cd096f189a46d750a2337009feeea62039a0413fda9d84c97bd

Observation da27097a-087e-48de-b60e-e13ef5066ea8 · outbound

This paper cites A spiking neural network model of depth from defocus for event-based neuromorphic vision.

Dense Depth from Event Focal Stack A spiking neural network model of depth from defocus for event-based neuromorphic vision

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.223490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.875611Z digest=sha256:1549d1fc6f17fd18506ea90b753c1255f01bb75a7a59cd8aad9f999441191cb1

Observation 0307d52c-84da-48fa-9847-4f4f4ea66d4e · outbound

This paper cites All- in-focus imaging from event focal stack.

Dense Depth from Event Focal Stack All- in-focus imaging from event focal stack

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.210486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.879653Z digest=sha256:9a311d955eb9a4bf87d254f0d3e8911dcf99c5b022c571a3ba5b4e9eec6aee25

Observation d6152d60-53a7-4b92-96f7-52c06bef3a19 · outbound

This paper cites High speed and high dynamic range video with an event camera.

Dense Depth from Event Focal Stack High speed and high dynamic range video with an event camera

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.197544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.883364Z digest=sha256:6383e6407188533d6b59acfbb12d1b01bd5bbf080ded96f717dd2c1a48bf9deb

Observation 4ae12d30-9457-404a-9d42-01f272064644 · outbound

This paper cites Co-attention- guided bilinear model for echo-based depth estimation.

Dense Depth from Event Focal Stack Co-attention- guided bilinear model for echo-based depth estimation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.184152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.887346Z digest=sha256:9d2b837e9d16a8072e67280fbd54d8f9756f9e6ef3961607c02bd9aef440420b

Observation 82f051ee-93bf-4f74-a368-fcd3c2303ccc · outbound

This paper cites Multi-layer scene representation from composed focal stacks.

Dense Depth from Event Focal Stack Multi-layer scene representation from composed focal stacks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.169136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.890967Z digest=sha256:1eec83bfdd82de4fd33b1220cae6b2a5ad9ebea1e601204a3f5e2a8781c1ae69

Observation 4f512175-b6f9-459a-8148-3d2b81355b22 · outbound

This paper cites Learning monocular dense depth from events.

Dense Depth from Event Focal Stack Learning monocular dense depth from events

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.156335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.894732Z digest=sha256:671d9cc881490e5cfd4a8f527103d81d5488a556d479749c71714f32c599da3c

Observation ac317b00-d45d-4a6b-9b1b-facb31075e22 · outbound

This paper cites Fo- cus on defocus: Bridging the synthetic to real domain gap for depth estimation.

Dense Depth from Event Focal Stack Fo- cus on defocus: Bridging the synthetic to real domain gap for depth estimation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.143556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.898079Z digest=sha256:0a8f4510730fa149992f8fa94aec514a3016092baa45132e73c5b2c4f4f7e6a4

Observation 7f2b44f0-9857-482d-bb7b-6a7595ccc2cb · outbound

This paper cites M4depth: Monocular depth estimation for autonomous ve- hicles in unseen environments.

Dense Depth from Event Focal Stack M4depth: Monocular depth estimation for autonomous ve- hicles in unseen environments

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.131437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.901393Z digest=sha256:7c7991b8e9f393e5604269121c252eaff9836e9551d24a37be5db490a1f6ca5c

Observation a8a8f488-0e06-4528-9f74-1d3315eec9ac · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Dense Depth from Event Focal Stack U- net: Convolutional networks for biomedical image segmen- tation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.118077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.905328Z digest=sha256:3b1e938ab4d4bb95c6a2f2463c1f89a621590411ca46f87acbbc9d5ade9df208

Observation e46912a3-ef1d-45f7-bf37-6444a0eae841 · outbound

This paper cites Zhou and A.

Dense Depth from Event Focal Stack Zhou and A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.104661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.909452Z digest=sha256:9b6e428de1aa9fbd8f58f95998d24a7fb2527269b843ede6670ee935877a509b

Observation a431e999-ca26-435e-aa7e-5109f0cfad02 · outbound

This paper cites ESIM: an open event camera simulator.

Dense Depth from Event Focal Stack ESIM: an open event camera simulator

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.091298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.913890Z digest=sha256:8110f62bb2c2c5b0878eb7fb361d04f991b9278f73978accbe1a74a0a3fefd96

Observation b8f74b43-4e00-44fd-ba63-4dee56f65976 · outbound

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

Dense Depth from Event Focal Stack Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.076998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.917750Z digest=sha256:4b1def79e3c83276786ca8154bd3947b3b8de2278ace49b248b89f464ae5fd63

Observation d30de78a-8d85-49e9-84bd-e0039731e9f0 · outbound

This paper cites Dvs- voltmeter: Stochastic process-based event simulator for dy- namic vision sensors.

Dense Depth from Event Focal Stack Dvs- voltmeter: Stochastic process-based event simulator for dy- namic vision sensors

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.063328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.921972Z digest=sha256:3627152bfe2b60f7b32caf572046c6e84161b839b6bed31aff3cc3516e74ca32

Observation ea3d7277-4ef0-4fb9-83ae-6a9ba5bb12a5 · outbound

This paper cites Computer Vision: Algorithms and Appli- cations.

Dense Depth from Event Focal Stack Computer Vision: Algorithms and Appli- cations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.045867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.925551Z digest=sha256:b6c04df975eb2b37a7eaac1d198a88efbe8b2a5f2606b681091dfeab51dcb458

Observation 5760078d-b786-417e-b663-3c10223ba8fc · outbound

This paper cites Event-based monocular dense depth estimation with recur- rent transformers.

Dense Depth from Event Focal Stack Event-based monocular dense depth estimation with recur- rent transformers

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.032535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.929824Z digest=sha256:d5bc7ecfb674c7bd783997c3ad4cdc911c8994bd6788180396b21528fbead720

Observation 0f40eb47-87a1-4207-be1d-cce97c74f295 · outbound

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

Dense Depth from Event Focal Stack Depth anything: Unleashing the power of large-scale unlabeled data

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.019009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.933516Z digest=sha256:b60b5d1fd5bfdfdb90344e16ed6c34147f1bb93aa07f0f692f8c9d614da7f0e4

Observation dd1e043e-7d5f-476f-b978-741b0b3b70bf · outbound

This paper cites Motion deblurring and depth estimation from multiple images.

Dense Depth from Event Focal Stack Motion deblurring and depth estimation from multiple images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:23.005075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.937007Z digest=sha256:3b790edfd29b31e0c6b40818f96b339dc6acfeef135a888734c402ee727fa8f4

Observation 85a8769e-394e-4737-bad2-22b224ce2b9f · outbound

This paper cites Unsupervised event-based optical flow using mo- tion compensation.

Dense Depth from Event Focal Stack Unsupervised event-based optical flow using mo- tion compensation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:22.992927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:16:22.940791Z digest=sha256:d020353a2bdc87dc95f6ca96981539c0e95ad3c57f9915e70a7e06f7db1b4076

Pith citing papers

Observation dddc2610-0fa2-4680-9af1-57275d177426 · 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 Dense Depth from Event Focal Stack

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:53:36.813684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T10:52:48.648480Z digest=sha256:7202f5301584c86e4bf26f8a62652847a7950ba520a69d98b04a822222c0a61b