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Paper Citation Record · LEDGER

DigiForest: Digital Analytics and Robotics for Sustainable Forestry

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2604.14652.

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

pith.paper-citation-record.v1
2604.14652 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:32:16.978106Z

measured 49 of 49 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 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

49 of 49 outbound references displayed

  • verified exact18
  • verified fuzzy18
  • unresolved2
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64693698-21b4-4928-ae89-a49cb27370d8 · outbound

This paper cites Forest Inventory with Terrestrial LiDAR: A Compar- ison of Static and Hand-Held Mobile Laser Scanning.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Forest Inventory with Terrestrial LiDAR: A Compar- ison of Static and Hand-Held Mobile Laser Scanning

Reference 1

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verified exact
doi, observed 2026-05-10T11:35:18.289150Z

Source-reported events for the cited work

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Observation c9e21e7a-20e1-4ced-9cdb-fdd57b727bb6 · outbound

This paper cites SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Reference 2

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Source-reported events for the cited work

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Observation 5b0d2546-afa1-43aa-9b5c-acf0b9e47167 · outbound

This paper cites A Method for Registration of 3-D Shapes.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry A Method for Registration of 3-D Shapes

Reference 3

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verified exact
doi, observed 2026-05-10T11:35:18.277742Z

Source-reported events for the cited work

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Observation 46e550d3-83f3-44de-8421-b0f4ed145da9 · outbound

This paper cites 10610948.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry 10610948

Reference 4

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arxiv_id, observed 2026-05-10T11:35:18.275381Z

Source-reported events for the cited work

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Observation 576f6ff5-26ae-4787-a2be-dc3e37228c69 · outbound

This paper cites A Simplified Forest Model to Study Species Compo- sition Along Climate Gradients.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry A Simplified Forest Model to Study Species Compo- sition Along Climate Gradients

Reference 5

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doi, observed 2026-05-10T11:35:18.297495Z

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

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Observation c6675445-c0e8-4287-aa2b-bda05e26c4b0 · outbound

This paper cites Extracting individual trees from lidar point clouds using treeseg.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Extracting individual trees from lidar point clouds using treeseg

Reference 6

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

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Observation 80d1bc29-a440-4e2f-a86a-7a4a4975da26 · outbound

This paper cites Dreher, T.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Dreher, T

Reference 7

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arxiv_id, observed 2026-05-10T11:35:18.282675Z

Source-reported events for the cited work

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Observation f38df428-18f1-4deb-b373-4e849aa4bd99 · outbound

This paper cites an unresolved cited work.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 56b0bb7e-9340-4602-ae52-d21062c1a535 · outbound

This paper cites 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

Reference 9

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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.

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Observation 100b4a37-7886-4dbe-abca-17dfbd598e7d · outbound

This paper cites 2021.url: https://eur- lex.europa.eu/legal- content/ EN/TXT/?uri=CELEX%3A52021DC0572.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry 2021.url: https://eur- lex.europa.eu/legal- content/ EN/TXT/?uri=CELEX%3A52021DC0572

Reference 10

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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.

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Observation b473e2e2-e504-42d6-8293-040c6ed0ce4b · outbound

This paper cites Steering kinematics for a center-articulated mobile robot.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Steering kinematics for a center-articulated mobile robot

Reference 11

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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.

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Observation 168d9c1b-82a1-487a-9918-f045dacf0cbe · outbound

This paper cites Lidar Remote Sensing for Forestry.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Lidar Remote Sensing for Forestry

Reference 12

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doi, observed 2026-05-10T11:35:18.286935Z

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.

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Observation 85a3e738-d53a-4054-9da5-d0e98b17f006 · outbound

This paper cites Global aboveground biomass product validation best practices protocol. Version 1.0.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Global aboveground biomass product validation best practices protocol. Version 1.0

Reference 13

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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.

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Observation 6a6736c8-c5d8-4e30-92cb-49222100f536 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 14

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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.

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Observation 4e8ca8eb-bd9a-46ae-a655-341508e82e2f · outbound

This paper cites On-Manifold Preintegration for Real-Time Visual– Inertial Odometry.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry On-Manifold Preintegration for Real-Time Visual– Inertial Odometry

Reference 15

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verified exact
arxiv_id, observed 2026-05-10T11:35:18.292342Z

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.

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Observation 7488a436-d1b3-4b63-abad-8e6eb294517a · outbound

This paper cites Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System

Reference 16

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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.

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Observation 88e5db2e-95e8-4049-aff3-0d8b96f22292 · outbound

This paper cites Meeting-merging-mission: A multi- robot coordinate framework for large-scale communication-limited exploration.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Meeting-merging-mission: A multi- robot coordinate framework for large-scale communication-limited exploration

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-10T11:35:18.295278Z

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.

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Observation d5760514-c251-4c69-b212-3f87f3d729eb · outbound

This paper cites Privacy-preserving and uncertainty-aware federated trajectory prediction for connected autonomous vehicles.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Privacy-preserving and uncertainty-aware federated trajectory prediction for connected autonomous vehicles

Reference 18

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arxiv_id, observed 2026-05-10T11:35:18.306683Z

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.

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Observation 0920cd97-3bc8-4dc3-82f5-ca09e3815270 · outbound

This paper cites Multi-resolution 3D mapping with explicit free space representation for fast and accurate mobile robot motion planning.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Multi-resolution 3D mapping with explicit free space representation for fast and accurate mobile robot motion planning

Reference 19

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raw_fallback, observed 2026-05-19T14:02:23.117459Z

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.

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Observation e555fdb7-bac3-475d-aea2-3a4e7687aaf0 · outbound

This paper cites Unified Temporal and Spatial Calibration for Multi-Sensor Systems.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Unified Temporal and Spatial Calibration for Multi-Sensor Systems

Reference 20

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arxiv_id, observed 2026-05-10T11:35:18.315587Z

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.

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Observation cad0dd4d-2535-425b-a76c-3c9adcaa7c53 · outbound

This paper cites In- formed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry In- formed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic

Reference 21

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

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Observation 1f5dd4e5-b77f-4869-ac03-ac6a0aa3a24a · outbound

This paper cites an unresolved cited work.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Unresolved cited work

Reference 22

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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.

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Observation ef68ddab-0ef6-4f92-9435-f30334011587 · outbound

This paper cites Motion Primitives Planning For Center-Articulated Vehicles.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Motion Primitives Planning For Center-Articulated Vehicles

Reference 23

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

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Observation 13863cc5-c217-4acc-977f-cbac2d3f0894 · outbound

This paper cites Force control for active chassis balancing.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Force control for active chassis balancing

Reference 24

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raw_fallback, observed 2026-05-19T14:02:23.145848Z

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

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Observation 5540a372-9590-4613-a886-7ca71a6f39f1 · outbound

This paper cites Harveri : A Small (Semi-)Autonomous Precision Tree Harvester.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Harveri : A Small (Semi-)Autonomous Precision Tree Harvester

Reference 25

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raw_fallback, observed 2026-05-19T14:02:23.132739Z

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

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Observation 2e83eaf6-a9c3-49a6-97e2-ca0ced68f739 · outbound

This paper cites iSAM2: Incremental smoothing and mapping using the Bayes tree.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry iSAM2: Incremental smoothing and mapping using the Bayes tree

Reference 26

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raw_fallback, observed 2026-05-19T14:02:23.124262Z

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.

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Observation aa638453-3563-43fc-8ac2-ee586b7aaef0 · outbound

This paper cites Panoptic Segmentation.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Panoptic Segmentation

Reference 27

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raw_fallback, observed 2026-05-19T14:02:23.134732Z

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.

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Observation d117b234-831b-4cd5-bef4-e3b62b0e7002 · outbound

This paper cites OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry OKVIS2: Realtime Scalable Visual-Inertial SLAM with Loop Closure

Reference 28

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verified exact
arxiv_id, observed 2026-05-10T11:35:18.837336Z

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.

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Observation 3c4f319d-c5d0-4c5f-948e-e4993a270420 · outbound

This paper cites DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics

Reference 29

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raw_fallback, observed 2026-05-19T14:02:23.130514Z

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.

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Observation 02e235f8-edad-4f94-a6da-38de47869d22 · outbound

This paper cites Mask-Based Panoptic LiDAR Segmentation for Au- tonomous Driving.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Mask-Based Panoptic LiDAR Segmentation for Au- tonomous Driving

Reference 30

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raw_fallback, observed 2026-05-19T14:02:23.143459Z

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.

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Observation 3443c53c-a364-469e-902f-d6215e6b1f2a · outbound

This paper cites An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions

Reference 31

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arxiv_id, observed 2026-05-10T11:35:18.312880Z

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.

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Observation b250202e-c323-4afb-ab8b-df3ec9e5492c · outbound

This paper cites Building Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Building Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead

Reference 32

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arxiv_id, observed 2026-05-10T11:35:18.300367Z

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.

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Observation 0015f2af-f57d-45f9-a3ee-c28f2f671239 · outbound

This paper cites Simultaneous Localization and Mapping for Forest Harvesters.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Simultaneous Localization and Mapping for Forest Harvesters

Reference 33

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arxiv_id, observed 2026-05-10T11:35:18.309908Z

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.

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Observation e9f45478-f6f0-42fc-a6b7-1b0128299c6a · outbound

This paper cites Meeting-merging-mission: A multi- robot coordinate framework for large-scale communication-limited exploration.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Meeting-merging-mission: A multi- robot coordinate framework for large-scale communication-limited exploration

Reference 34

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metadata mismatch
arxiv_id, observed 2026-05-10T11:35:18.303376Z

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=2026-05-10T11:32:16.978106Z digest=sha256:addaf29bf3d87a163cc2cffca9b5e0ce1ae891070712ddac980527936f183fca

Observation 15899fd5-f4b2-4f45-b93c-4f0ca04c0d18 · outbound

This paper cites Autonomous robotic la- paroscopic surgery for intestinal anastomosis.Science Robotics, 7(62):eabj2908.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Autonomous robotic la- paroscopic surgery for intestinal anastomosis.Science Robotics, 7(62):eabj2908

Reference 35

Resolution
malformed identifier
doi_truncated, observed 2026-05-10T11:35:18.279637Z

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=2026-05-10T11:32:16.978106Z digest=sha256:30a3c27417bb6fbc6b7d2b1b10ff46212925413c056dea9b372dde576a0d2c6a

Observation 53e5c133-7113-4541-953c-ea136e84f196 · outbound

This paper cites Learning adaptive controller for hydraulic machinery automation.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Learning adaptive controller for hydraulic machinery automation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T14:02:23.139008Z

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=2026-05-10T11:32:16.978106Z digest=sha256:db9a144dd893716348be0665adc2c7a61368c13f1f8fb578bf7a0b26202f1b21

Observation db32c594-a7a0-4d12-b229-e27169a3f3c1 · outbound

This paper cites Dreher, T.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Dreher, T

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:35:18.318549Z

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=2026-05-10T11:32:16.978106Z digest=sha256:56e8ea51204ee71fe4a7c73ea7073f19e1f9b1f3e15abfbc4d25ee0945bd471c

Observation d4f980bc-5b44-49ac-845f-490f09925a2b · outbound

This paper cites Efficient Submap-based Autonomous MA V Exploration using Visual-Inertial SLAM Configurable for LiDARs or Depth Cameras.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Efficient Submap-based Autonomous MA V Exploration using Visual-Inertial SLAM Configurable for LiDARs or Depth Cameras

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.842456Z

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=2026-05-10T11:32:16.978106Z digest=sha256:b2cf1f8fe3273414bd51ff3c838a169cb1ddd8311ccd9dd387bcff78be3aa1f2

Observation addf43e2-6f6f-41ff-96d5-f96570f645cf · outbound

This paper cites Significant increase in natural disturbance impacts on European forests since 1950.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Significant increase in natural disturbance impacts on European forests since 1950

Reference 39

Resolution
verified exact
doi, observed 2026-05-10T11:35:18.333136Z

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=2026-05-10T11:32:16.978106Z digest=sha256:96c3850a4ef8107793deedd37144e794c038cbf735b6d72085e795f508259041

Observation d8f61d22-0631-467d-91eb-6c6cc460f852 · outbound

This paper cites The Resilient Micro Flyer: a New Collision-tolerant Au- tonomous Robot.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry The Resilient Micro Flyer: a New Collision-tolerant Au- tonomous Robot

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T14:02:23.141177Z

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=2026-05-10T11:32:16.978106Z digest=sha256:7eb41eb3fa313458dd3ad1644d3bdaee0fffd57d910a5426f3fa6fb44c4e58f8

Observation 1ec2536f-4b7c-426c-a2bb-208735a509ba · outbound

This paper cites Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM

Reference 41

Resolution
verified exact
doi, observed 2026-05-10T11:35:18.328252Z

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=2026-05-10T11:32:16.978106Z digest=sha256:3d695901f1c94f5c13d52478ddbc71bc9ded5f9fcb6277ae2b115fc821d8f338

Observation 7c948c58-d9e5-4656-b281-092b7a8c2d0e · outbound

This paper cites Seamless Scene Segmentation.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Seamless Scene Segmentation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T14:02:23.136939Z

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=2026-05-10T11:32:16.978106Z digest=sha256:11e394ccaa8143ab080dc045a90832a4ead779cb0610ea6a9cb44750454a128c

Observation 9dd0aab2-80b5-45fd-bbdc-25efaad179a8 · outbound

This paper cites Monocular visual-inertial odometry in low-textured environments with smooth gradients: A fully dense direct filtering approach.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Monocular visual-inertial odometry in low-textured environments with smooth gradients: A fully dense direct filtering approach

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.323523Z

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=2026-05-10T11:32:16.978106Z digest=sha256:93f64a3369285dcb3ffd231ccbba1b63b75ef414f11066714ad46dbec3177e80

Observation 10084285-5879-4b19-8fcb-dca6e8e6be3f · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-10T11:35:18.839623Z

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=2026-05-10T11:32:16.978106Z digest=sha256:93773b21aa543627eee235e86c0a3c68903546d31ce0c2a0f3750cc00bd28a64

Observation ac5be9b8-abce-449e-861c-85f87d4d1d24 · outbound

This paper cites Automatic three-dimensional mapping for tree diameter measurements in inventory operations.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Automatic three-dimensional mapping for tree diameter measurements in inventory operations

Reference 45

Resolution
verified exact
doi, observed 2026-05-10T11:35:18.320518Z

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=2026-05-10T11:32:16.978106Z digest=sha256:4fb3d75da82635a198490a5d9cafb72d744e131d347bd2ad0c1f1b5070a1ae9f

Observation 98766efa-5c8b-4bf7-8c13-c8eac87b3e7e · outbound

This paper cites Varadarajan, A.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Varadarajan, A

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:35:18.331025Z

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=2026-05-10T11:32:16.978106Z digest=sha256:ae7b4eecb9cdb2561b631da99feb54c2c6da48dbbc2b66db3f71b3b1407f555b

Observation f7eac6b3-3255-4986-b87c-021211c5a81d · outbound

This paper cites VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.326419Z

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=2026-05-10T11:32:16.978106Z digest=sha256:a059b4904ff576ab706314e542d414dbf3da68a5b7abea4b3374492453a49efe

Observation 09b5b410-0c45-4f7d-b837-e0639ddb9748 · outbound

This paper cites Unifying flow, stereo and depth estimation.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Unifying flow, stereo and depth estimation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T14:02:23.126254Z

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=2026-05-10T11:32:16.978106Z digest=sha256:3eda4c5902e32776300ec13b64f52f40b3ce17798e7d0e217a2ebc77d3820118

Observation c2701399-ad6a-41b8-acbc-1665f1c9fdf4 · outbound

This paper cites Collaborative Exploration with a Marsupial Ground-Aerial Robot Team through Task-Driven Map Compression.

DigiForest: Digital Analytics and Robotics for Sustainable Forestry Collaborative Exploration with a Marsupial Ground-Aerial Robot Team through Task-Driven Map Compression

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.844837Z

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=2026-05-10T11:32:16.978106Z digest=sha256:31ac1714f35d1a0e8c8fed94fc48f59209f2baebb7d939c57598ded65ef9c547

Pith citing papers

No inbound Pith citation observations are available.