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Paper Citation Record · LEDGER

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.21382.

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

pith.paper-citation-record.v1
2507.21382 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:52:48.102261Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a43242ee-6f18-47be-9f3d-950bdee77e25 · outbound

This paper cites an unresolved cited work.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:52:49.215367Z

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.

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Observation b7abf774-5237-4a51-a28d-e34cc22e1f01 · outbound

This paper cites Architectural mismatch: Why reuse is still so hard,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Architectural mismatch: Why reuse is still so hard,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.174786Z

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=2026-08-06T12:52:47.833105Z digest=sha256:e5114c9633bedf4f868a9e252424502386c7cf9ee06b6f5cf5081d77177dc1b6

Observation 9ba441a8-4b28-406a-b75a-48f9b589fa3c · outbound

This paper cites Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub,

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-06T12:52:48.488676Z

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=2026-08-06T12:52:47.838093Z digest=sha256:4c8d40ec7e17b433b78843429709dadd4907487ed495f79e3493242828a3f16d

Observation 5d745a95-c1a2-45fc-a474-b747045a4536 · outbound

This paper cites A systematic review of the limitations and associated opportunities of ChatGPT,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration A systematic review of the limitations and associated opportunities of ChatGPT,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.144301Z

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=2026-08-06T12:52:47.844413Z digest=sha256:2c41aa09f15d93a1749c5675f4112a5fd5bb1d19a215628bbeb632f90d6ce1cc

Observation 9131db4f-0f34-4528-9166-8ebeeb7e1918 · outbound

This paper cites Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.117422Z

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=2026-08-06T12:52:47.851282Z digest=sha256:99aa903e389ccb150f2cdb792bac9b52b659b83f05bb1d1dce828366cf17f54d

Observation f36f9b78-65e8-47d0-8b68-1ee183bc6615 · outbound

This paper cites MARE: Multi-Agents Collaboration Framework for Requirements Engineering.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration MARE: Multi-Agents Collaboration Framework for Requirements Engineering

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:47.860768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:47.860768Z digest=sha256:12d0e80fcc09d8b5bc569b9e3488c48ddc4d889ad8d5a0f20f3c0b8218cd6784

Observation 26abe68d-5dd9-4600-abbb-89a3e862916a · outbound

This paper cites LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.093915Z

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=2026-08-06T12:52:47.869350Z digest=sha256:ee51ba88dc20155b2e4d5000034e6db482b845b0be496aefec0af4d3d18aaee5

Observation c783c350-dea4-4645-8937-86bb08742d5c · outbound

This paper cites Towards detecting LLMs hallucination via markov chain-based multi-agent debate framework,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Towards detecting LLMs hallucination via markov chain-based multi-agent debate framework,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.070367Z

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=2026-08-06T12:52:47.877592Z digest=sha256:f4f206a131e2acc5150091a3913e8b6cf6b27d5f5a1102cdaf7ccc4ad660d51f

Observation 08e5b99e-da02-45cd-9989-6911eb05ec94 · outbound

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Improving factuality and reasoning in language models through multiagent debate,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.046519Z

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=2026-08-06T12:52:47.889091Z digest=sha256:a41ec515e75f07ee71ec842f8a7539bd7e9f9beb7779ecafe1af9da0b2366559

Observation 1b13dc1d-e464-4082-9e5e-b5695bab90e8 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:47.900332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:47.900332Z digest=sha256:8e7a90edd0e0fa8a59196680f18824af9574b240fc959217ae7a935346e5bd7c

Observation 3f6d403e-eaa3-464a-916f-04d668f235dc · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:47.907389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:47.907389Z digest=sha256:748838f6b2647055027c9d5faad7665d27ad2ae2df3cb7ab6a76ce655d3adb47

Observation dbddca5c-5e9e-43de-9750-766b55984aaa · outbound

This paper cites Knowledge-based multi-agent framework for automated software architecture design,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Knowledge-based multi-agent framework for automated software architecture design,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.025619Z

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=2026-08-06T12:52:47.912975Z digest=sha256:3eaa3f76ccf79beb0e638201b6413e7444961757227abf342efe52dfb095218a

Observation fda9e961-15fc-4878-9550-69cdda349e2f · outbound

This paper cites Shaw and D.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Shaw and D

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:49.002987Z

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=2026-08-06T12:52:47.935715Z digest=sha256:a2e369ad61315d0a8c452acc8f5fb1a666d3b86dcdcbb2eeb4a83edd29a23130

Observation 8af7a072-b311-4bd1-864d-1b29bff736e0 · outbound

This paper cites Software architecture in practice: Challenges and opportunities,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Software architecture in practice: Challenges and opportunities,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.973381Z

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=2026-08-06T12:52:47.940932Z digest=sha256:87138603276fb83aff4ca7c1e963557b3a57bee3a9a80a74d054bb33f3d8a2c5

Observation c356782d-9773-4899-8bf8-3f25b136f2f7 · outbound

This paper cites The architecture analysis & design language (AADL): An introduction,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration The architecture analysis & design language (AADL): An introduction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.940342Z

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=2026-08-06T12:52:47.948404Z digest=sha256:23cd3f8adb39a598884d36941fe144b200d5694e1afe89d80eb0b452b408fc35

Observation 9cb1ff6f-8281-4f8c-a085-632996e7fc5f · outbound

This paper cites A classification and comparison framework for software architecture description languages,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration A classification and comparison framework for software architecture description languages,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.906877Z

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=2026-08-06T12:52:47.954625Z digest=sha256:8498e87968d7eeb388a6a627972650921525d35d9daa8b43e5e1e8c08de66984

Observation 19397454-9b2c-45d9-9f90-1cb7c06f927b · outbound

This paper cites an unresolved cited work.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-06T12:52:48.866098Z

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=2026-08-06T12:52:47.960742Z digest=sha256:1cae357ffb01ca61f9e5c61763d386859ce89e2082cec493a23f5447b0781fdf

Observation 73fd7c0c-d5de-46c1-bf63-78de6a96bb05 · outbound

This paper cites Evans, Domain-Driven Design: Tackling Complexity in the Heart of Software.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Evans, Domain-Driven Design: Tackling Complexity in the Heart of Software

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T12:52:48.842237Z

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=2026-08-06T12:52:47.967223Z digest=sha256:e7442facc42603313e26412a3daf5c840f62285b7a4be1a2aba94f9d633ce8da

Observation ac6ab753-6dd6-4d20-84b1-08b6a2559b5d · outbound

This paper cites ATAM: Method for architecture evaluation,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration ATAM: Method for architecture evaluation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.789685Z

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=2026-08-06T12:52:47.971802Z digest=sha256:baf27ace9dd69f92fc5e4103c8af259ea8460d8d22c188fe8593b09717fe892c

Observation 27b734a1-f76a-41e6-8710-2ebcf006a5f7 · outbound

This paper cites Towards human-bot collaborative software architecting with chatgpt,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Towards human-bot collaborative software architecting with chatgpt,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.759979Z

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=2026-08-06T12:52:47.976754Z digest=sha256:26533f690334559bc7f383b71840175642ad4206991ba1c1d9fa9a19414b0095

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

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

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=sha256:3c0ccef96d17dfe2ed8a5c6fb31fd67cd7b6c686347634533031e7d36e588281

Observation a3d65d06-470f-4beb-a60d-404a4bd48b7b · outbound

This paper cites Software Architecture Meets LLMs: A Systematic Literature Review.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Software Architecture Meets LLMs: A Systematic Literature Review

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:47.996656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:47.996656Z digest=sha256:f219367f191654021ab57640ce02885e6a076383935d48ffa673a13a3696c84a

Observation cda06af2-45b5-4cd1-aab3-1cffba6fb3a5 · outbound

This paper cites From requirements to architecture: An ai-based journey to semi-automatically generate software architectures,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration From requirements to architecture: An ai-based journey to semi-automatically generate software architectures,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.727607Z

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=2026-08-06T12:52:48.003930Z digest=sha256:911155ef335beda4d716809ccd3b9b10a02e8380a5e964f4db3b0a204550dc54

Observation 73fc9849-5efd-4c44-bcac-1962bc54beed · outbound

This paper cites Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Reference 24

Resolution
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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=sha256:6a9f5074664a9f34d9d3898b7ca7ffb8d93c0c35bc09f9bbefff4634cfac8ea5

Observation e8822d70-011e-4b70-bcb0-64f909d765c2 · outbound

This paper cites The 4 + 1 view model of architecture,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration The 4 + 1 view model of architecture,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.693298Z

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=2026-08-06T12:52:48.021078Z digest=sha256:a77392686a4dffcbc7b0f1478331d1cd7f1f5b19cd3a61520098ce00ca21b7ee

Observation 98f1cf31-151c-4ef5-9c47-3534227c2499 · outbound

This paper cites An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:48.029091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:48.029091Z digest=sha256:78c884e78bdb907096d3b39486085f74414b33627637ab3e8d121bc9da765bc6

Observation 389a8d9c-309a-4610-835b-527bd66f579d · outbound

This paper cites Pure: A dataset of public requirements documents,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Pure: A dataset of public requirements documents,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.670647Z

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=2026-08-06T12:52:48.040554Z digest=sha256:08816776f6bb8dadbc1a565931495e5511e9c7853fea7457855755e5f6067770

Observation 20d04633-355c-4544-8223-3b54a2a39a46 · outbound

This paper cites Intelligent program synthesis framework and key scientific problems for embedded software,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Intelligent program synthesis framework and key scientific problems for embedded software,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.652129Z

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=2026-08-06T12:52:48.045813Z digest=sha256:67653ddfc3d000123d685a3215aa45e548f233308a086b4c01b8a1a5dcf910fc

Observation a2a4279b-6686-4ad1-b83f-d89684f06251 · outbound

This paper cites Gpt-4 technical report,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Gpt-4 technical report,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.629597Z

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=2026-08-06T12:52:48.050728Z digest=sha256:c4cf1f738c62e1ac36604e6222f89e16dfa2f0cc88ba3cedd53f49e1379c426d

Observation 89b295aa-f3b9-4524-a3e7-89f0216ef3bc · outbound

This paper cites The Llama 3 Herd of Models.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration The Llama 3 Herd of Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:48.055963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:48.055963Z digest=sha256:417d98c4e3ad0dcf5f1014d7fa9356da64fca527c966f19573068397f0122f26

Observation d8bbf497-db33-438d-9081-447d8510dd7f · outbound

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

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:48.063450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:48.063450Z digest=sha256:7dabf69d3e29a650f0fc2e1d0d33c2719d64a008123d87a65d829535c373da33

Observation 9d42c706-5a08-4e27-8ddd-4167535599ef · outbound

This paper cites Wohlin, P.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Wohlin, P

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.604901Z

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=2026-08-06T12:52:48.068998Z digest=sha256:d5c2b59d2a5bf34466efea41ec58d55a4dd56f09aec87db266f3bac5fb57c1cd

Observation 7b38b9ae-aa64-4fb5-ba60-bee027d41c6a · outbound

This paper cites Replication Package for the Paper: MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Replication Package for the Paper: MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.572523Z

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=2026-08-06T12:52:48.073769Z digest=sha256:9f57b4f6bfe4a59dd3b886504ddecd7646d641e2adcda3d63dbe6a84f66e08f3

Observation ca7df9c8-9f86-4881-943c-d52076d33739 · outbound

This paper cites an unresolved cited work.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:52:48.548468Z

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=2026-08-06T12:52:48.084666Z digest=sha256:9ac46a6f88b1eaf38612d8c1d396033ff01eeb8f07725f71317b4b78775f297b

Observation 0a3532e0-6079-4293-8155-244e0b3f790d · outbound

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

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T12:52:48.089458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:52:48.089458Z digest=sha256:956f206ce35a1e74610b64140f097676cb6841ed16821c55e88e6d07e0d9c37d

Observation 5dd28edb-9ef0-4937-a920-0f9b174d667c · outbound

This paper cites Do Large Language Models Contain Software Architectural Knowledge? An Exploratory Case Study with GPT,.

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration Do Large Language Models Contain Software Architectural Knowledge? An Exploratory Case Study with GPT,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:52:48.513169Z

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=2026-08-06T12:52:48.102261Z digest=sha256:637e1f1aebbab8728987fb6b643d689b0400692e82e30ea324a34fce32f58120

Pith citing papers

No inbound Pith citation observations are available.