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Paper Citation Record · LEDGER

Generative AI for Software Architecture. Applications, Challenges, and Future Directions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.13310.

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

pith.paper-citation-record.v1
2503.13310 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:12:03.580921Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:08:00.856794Z

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 80d162d5-61ba-4bc0-8db3-69c9e4a36cbe · inbound

Autonomic Microservice Management via Agentic AI and MAPE-K Integration cites this paper.

Autonomic Microservice Management via Agentic AI and MAPE-K Integration Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:12:03.580921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:03.580921Z digest=sha256:f9f59de2db006d74c4a5d752072d838205cf0fee8e2a89ae6f833606537c84da

Observation 8271cf8f-246c-4f46-a51e-f8765d52f801 · inbound

Emerging Trends in Software Architecture from the Practitioners Perspective: A Five Year Review cites this paper.

Emerging Trends in Software Architecture from the Practitioners Perspective: A Five Year Review Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:58:26.616232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:58:26.616232Z digest=sha256:99b6bd91ca1b5f96835543b5b2900b69dbd5a8f45c2ca759ef20fd14bdf19d30

Observation 56b618b9-5121-4b9f-a651-979b1d61bbfe · inbound

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration cites this paper.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:47.986601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:47.986601Z digest=sha256:bf7811803f5baada2b1f77403d21860bbe5a9ef88fed06ab7d6829e53c706dc0

Observation eb12bf22-82b2-41c1-b1f2-4373fc29bae5 · inbound

What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects cites this paper.

What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T21:44:13.549580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:44:13.549580Z digest=sha256:9118b818b3cc4e503720234c29f523a4d093768f57c70a6d69c86b9f0f0d6746

Observation beee460e-f17c-4082-a384-8e049cf6bf2a · inbound

Context Matters: Evaluating Context Strategies for Automated ADR Generation Using LLMs cites this paper.

Context Matters: Evaluating Context Strategies for Automated ADR Generation Using LLMs Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:00.858494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:06:11.448460Z digest=sha256:1d821a798c9083b6c884621c0c7d851c4e5ab54e36520c8ede22f6a7ddecc889

Observation b81eafad-3615-407f-bc6f-9a1bcf765829 · inbound

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models cites this paper.

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models Generative AI for Software Architecture. Applications, Challenges, and Future Directions

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:15:47.671941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:16:54.736689Z digest=sha256:6d611c5c849740e5c5035866c00e6e920b2a509f2ec3a28f83c7e7c075b6be71