Paper Citation Record · LEDGER

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.07689.

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

pith.paper-citation-record.v1
2507.07689 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:23.820950Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact1
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8c253a3-6b44-45ad-8b6e-50a292b01c4c · outbound

This paper cites NASA systems engineering handbook,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry NASA systems engineering handbook,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.868623Z

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.

Observation 6033410d-f20b-44c8-a965-061ae84ba618 · outbound

This paper cites Automated demarcation of requirements in textual specifications: a machine learning-based approach,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Automated demarcation of requirements in textual specifications: a machine learning-based approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.717618Z

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.

Observation 6407bed9-31ef-469c-bcfc-69d7c119d6d7 · outbound

This paper cites Generating test scenarios from NL requirements using retrieval-augmented LLMs: An industrial study,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Generating test scenarios from NL requirements using retrieval-augmented LLMs: An industrial study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.598835Z

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.

Observation bca38c4f-c919-4ea2-9d2a-649ceac1a6e4 · outbound

This paper cites Ragva: Engineering retrieval augmented generation-based virtual assistants in practice,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Ragva: Engineering retrieval augmented generation-based virtual assistants in practice,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.477651Z

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.

Observation 927dc41a-6b79-4579-bf40-179ae13a3bcf · outbound

This paper cites Language Models for Text Classification: Is In-Context Learning Enough?.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Language Models for Text Classification: Is In-Context Learning Enough?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.227762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca820433-ff3c-4d78-b0ec-128fb3c3ad60 · outbound

This paper cites ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:37:24.027810Z

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.

Observation 11ddbd8c-9342-43a5-9917-331861a31dc4 · outbound

This paper cites Imbalanced label distribution learning,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Imbalanced label distribution learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.331867Z

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.

Observation 4aeea588-f8ff-4629-9b12-11c1354f1666 · outbound

This paper cites mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.391753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7ace69-8bf7-4550-a71b-ade7b6451742 · outbound

This paper cites In-context retrieval- augmented language models,.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry In-context retrieval- augmented language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:37:24.180009Z

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.

Observation c4a3b9b8-249e-4f56-9848-317633b3cab2 · outbound

This paper cites OpenAI o1 System Card.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry OpenAI o1 System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.559172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c5ccd0-c2ed-4c22-b304-6db37bd9df3a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.644934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b10800-ea9d-433b-b537-30fd1a0f8538 · outbound

This paper cites Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Trustworthiness in Retrieval-Augmented Generation Systems: A Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.749831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7f192f-f34e-4456-b5e0-3668e7db397b · outbound

This paper cites Requirements-Driven Automated Software Testing: A Systematic Review.

From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry Requirements-Driven Automated Software Testing: A Systematic Review

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:23.820950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.