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Paper Citation Record · LEDGER

Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.09108.

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

pith.paper-citation-record.v1
2505.09108 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:26.090321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:37:42.580387Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 4f2853ae-1101-4a11-b864-ff95a3b7e8e1 · inbound

Large Language Models for Multi-Robot Systems: A Survey cites this paper.

Large Language Models for Multi-Robot Systems: A Survey Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.066576Z

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=2026-05-23T04:32:05.138744Z digest=sha256:708fa1010cc8ea1aa85c7ee32a1269a86699744e81ab77d7db8f7d9b96ddbae7

Observation 7984a209-a218-4252-997f-05f619c60037 · inbound

Adaptive Per-Tree Canopy Volume Estimation Using Mobile LiDAR in Structured and Unstructured Orchards cites this paper.

Adaptive Per-Tree Canopy Volume Estimation Using Mobile LiDAR in Structured and Unstructured Orchards Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:26.090321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:26.090321Z digest=sha256:a1996f07d56c952520d9ee0110a069e0f1cbd97ecf3c637860e37458272f8971

Observation 3b88f2ef-8c0a-424b-8142-d64baf09e143 · inbound

Prompting Robot Teams with Natural Language cites this paper.

Prompting Robot Teams with Natural Language Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T13:52:23.797367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:52:23.797367Z digest=sha256:00ed8142db0c6821dd9f874df92794d5bdd907f8ca2a32260c9a666b0602b7dd

Observation dcf82808-4509-429a-b63b-80c5465b2554 · inbound

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming cites this paper.

Co-GLANCE: Uncertainty-Aware Active Perception for Heterogeneous Robot Teaming Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.492534Z

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=2026-06-27T18:41:42.100428Z digest=sha256:d64eca317634a7e8a6f1a154a88096fae4378772e1130d68354db4f7c125435b

Observation eca21e9f-2620-4406-aa80-03a7c0e0cbcb · inbound

Towards Reliable Aerial Ground Vehicle Collaboration: An Integrated Planning and Autonomy Framework for Field Deployment cites this paper.

Towards Reliable Aerial Ground Vehicle Collaboration: An Integrated Planning and Autonomy Framework for Field Deployment Air-Ground Collaboration for Language-Specified Missions in Unknown Environments

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:37:42.607698Z

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=2026-07-11T00:30:43.376212Z digest=sha256:76b59fcb6d06804742275dbba43c72c1be0a55631f0221abd50437920e4cf41e