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Paper Citation Record · LEDGER

Language Models are Spacecraft Operators

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.00413.

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

pith.paper-citation-record.v1
2404.00413 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:02.003834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:59:32.714673Z

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 b2629245-56f0-4723-9528-841f16c94828 · inbound

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program cites this paper.

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program Language Models are Spacecraft Operators

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:02.003834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:02.003834Z digest=sha256:25beaf134ac99944083dcddcf399c063ac8d52404cc59e95914fa505b5373eaf

Observation 3ce824d0-be90-447b-8185-2ae9843372e4 · inbound

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches cites this paper.

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches Language Models are Spacecraft Operators

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:48.129422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:48.129422Z digest=sha256:daaa9a2494726b2a1b524f41edfcd593fff2850901d59fa0eee59ab9fb84a309

Observation 0ffaafc5-2a27-472f-ba6c-005f48e9bd26 · inbound

GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations cites this paper.

GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations Language Models are Spacecraft Operators

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:53:02.193075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:52:20.624647Z digest=sha256:0c4adc95bd7837191690539f1e30e304bf79f651376a89d342ef84a49a17d68e

Observation 02eb8777-5bde-4ce0-8af5-9e3394f95fd4 · inbound

SpaceMind: A Modular and Self-Evolving Embodied Vision-Language Agent Framework for Autonomous On-orbit Servicing cites this paper.

SpaceMind: A Modular and Self-Evolving Embodied Vision-Language Agent Framework for Autonomous On-orbit Servicing Language Models are Spacecraft Operators

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:46:16.638650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T12:41:19.734912Z digest=sha256:16465db37b5c2601a55e7d220bd82b025238e6211784a2bcf0cadfb3354115ae

Observation 61acb7db-6bb2-4c42-95b7-8e4693ef568f · inbound

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems cites this paper.

Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems Language Models are Spacecraft Operators

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.716428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:29:59.914576Z digest=sha256:8ee9f55366253f2da6799109529cc78ec1c150410e42f8116b61ca4fa35f7304