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Paper Citation Record · LEDGER

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2504.20125.

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

pith.paper-citation-record.v1
2504.20125 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:47:47.482776Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37e30236-5a9c-4f33-8b99-89a0b847ae1a · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.375508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63a29c98-673f-480e-9502-aae98d37b107 · outbound

This paper cites A survey on RAG meeting LLMs: Towards retrieval-augmented large language models.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization A survey on RAG meeting LLMs: Towards retrieval-augmented large language models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:48.044908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.384094Z digest=sha256:fdcf6b8b06824654a2d4f027f6f3a8b2e9fabcc530cf503f426404850c534606

Observation 15d84270-5406-4dd4-b0be-9bc5fe1a8907 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.391086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.391086Z digest=sha256:3d62dcd4c639422acb74a8ad55736ce97c7f30dd82a7a23a7697616de341f078

Observation 55957dea-3227-487e-8bf3-fa23a24fad94 · outbound

This paper cites Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.399301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.399301Z digest=sha256:fab66ed5737b6899aeac26098886d35dd27771f87b19425f344fd3a9e00c0cd3

Observation 6a0564e5-398a-493c-be52-d197798d1006 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.408451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.408451Z digest=sha256:d5381ff214548d5c15d8022313a7e777674d2b7240cf5e3c6bb6d16e6105df40

Observation 040bb4cd-b31e-4fc5-a1f3-794415f25afc · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics, 12:157–173, 2024.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics, 12:157–173, 2024

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.415348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.415348Z digest=sha256:fee26cddce028a7159b90ca0b97abc8259e3b5a945ced781760ec9896f2d4228

Observation d0fc7eb7-e88a-4b17-b700-cfc310f69d17 · outbound

This paper cites Large language model for table processing: A survey.Frontiers of Computer Science , 19(2):192350, 2025.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Large language model for table processing: A survey.Frontiers of Computer Science , 19(2):192350, 2025

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee7a3b31-b463-497c-a57d-ca11ca63204d · outbound

This paper cites The lunar sample compendium.https://curator.jsc.nasa.gov/lunar/lsc/.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization The lunar sample compendium.https://curator.jsc.nasa.gov/lunar/lsc/

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:47.891319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.436843Z digest=sha256:c0f71e74ab6557f6165cf4212f82d494d58c00c54af6572f97d0306f37666f34

Observation c798c15b-c82b-46ce-8abe-175586f1567c · outbound

This paper cites Lunar sample compendium, 2005.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Lunar sample compendium, 2005

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:47.849379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.444262Z digest=sha256:17b1f63bf4af92bde49d90d5d4bc5a8190d6d46473f875a510d51537b785504d

Observation a814c1ea-a5e5-442f-8b6a-a4f50953af5e · outbound

This paper cites Flexible, model-agnostic method for materials data extraction from text using general purpose language models.Digital Discovery, 3(6):1221–1235, 2024.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Flexible, model-agnostic method for materials data extraction from text using general purpose language models.Digital Discovery, 3(6):1221–1235, 2024

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:47.811134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.451615Z digest=sha256:144b6032f3d7fd6297e1be2d5c9e5484d836ddb9133c49d991b3ee876aaeae3a

Observation 944dc7f5-d46a-4090-9517-722e2f641df6 · outbound

This paper cites Extracting accurate materials data from research papers with conversational language models and prompt engineering.Nature Communications, 15(1):1569, 2024.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization Extracting accurate materials data from research papers with conversational language models and prompt engineering.Nature Communications, 15(1):1569, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:47.780391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.462545Z digest=sha256:67831188e1ace6c173b994739261346fbfba6e3b949dc10fd674093582b6fbd2

Observation ed95211e-aa68-40d6-ac28-be102e609747 · outbound

This paper cites From Text to Insight: Large Language Models for Materials Science Data Extraction.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization From Text to Insight: Large Language Models for Materials Science Data Extraction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:47:47.474293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:47:47.474293Z digest=sha256:809bad638ec95dc8083ae07fb5bf5159cd94353c76c8d379c115711a2fe7ca5b

Observation 300692f6-cbb9-441c-b971-5f20cdc3164a · outbound

This paper cites composition.

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization composition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:47:47.742058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:47:47.482776Z digest=sha256:89cfc3cc33072be3113acb6df59a5b079ae25553aeeb8261e2f6b8043706f4ba

Pith citing papers

No inbound Pith citation observations are available.