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Paper Citation Record · LEDGER

Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.01709.

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

pith.paper-citation-record.v1
2403.01709 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:52:48.012690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:08:00.880388Z

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 73fc9849-5efd-4c44-bcac-1962bc54beed · 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 Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:48.012690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:48.012690Z digest=sha256:32e210a6b15bb936d0ce871fb331ed8cce04c4fc04e0bc2b460001bcc44544d2

Observation 637f8587-7401-4bc7-8a8c-94c71709dedc · 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 Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:00.882285Z

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=2026-05-13T17:06:11.448460Z digest=sha256:d0149d1c9f067d0508e35adfe020fbca9f0d42102118349937d682de7a3e42be

Observation 091d002d-410d-49e5-ac52-3afd97809a1b · inbound

Can Large Language Models Assist the Comprehension of ROS2 Software Architectures? cites this paper.

Can Large Language Models Assist the Comprehension of ROS2 Software Architectures? Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:56:07.874195Z

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=2026-05-09T20:49:38.843750Z digest=sha256:54c6e72e2db706c3b952dd8d11f78e3e6714ae19e8c4d0810e5b38ff8449c483

Observation cce5e739-b845-4f35-88dc-aa9268d23788 · inbound

Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs cites this paper.

Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T13:01:16.366387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:01:16.366387Z digest=sha256:45027cd5b7068925e22a64860a7f77fb41e883d2766a63d2095103ed11d2a0d4