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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T04:32:05.138744Z digest=sha256:298258af1d801b813b5c1f292694fba99750e35496fcb24d9a71525077b483b1

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=sha256:6d8f64dd522607d0db6199ac154f0fd3f8a44cd0629950458af3b55729442900

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=sha256:022acfc08a9f6e0fd603dde55f7ce5ed1728ce6b3bf2228f70f7ad84eaa602b9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T18:41:42.100428Z digest=sha256:ce4c89edd12104f14e481d2ad7feaf990e5e514c29e4e754efc105d56da699ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-11T00:30:43.376212Z digest=sha256:d6b569a5e995b028bbcd65f66e20efb054899976e3b0b0109badfc7620c076c8