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Paper Citation Record · LEDGER

SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2403.15852.

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

pith.paper-citation-record.v1
2403.15852 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:43.392179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:58:51.170015Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 a404e5bc-b619-4377-a036-5b58349903d3 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 16

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verified exact
arxiv_id, observed 2026-05-24T03:58:51.176751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:198df09decc2fc46cc8d7c74374f1b12107b481bc1ab8cec2df2407e25cf506b

Observation d666ce06-b66c-433e-b37b-e43cde94ddf1 · inbound

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

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 52

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verified exact
arxiv_id, observed 2026-05-23T21:08:25.749744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:c4c00f4efc128935bd0e44c4a24caa811a405d83b7013aaa65de13511f502cc7

Observation dfe10940-bfee-4412-982c-f455c2704450 · inbound

Planning-Driven Programming: A Large Language Model Programming Workflow cites this paper.

Planning-Driven Programming: A Large Language Model Programming Workflow SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 2

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no resolver link, observed 2026-08-12T15:48:11.434547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:48:11.434547Z digest=sha256:34c7ac9002e9a851beaa39241629e7cf7fac68e07ae363f18a69a7ddc385b044

Observation cb0e252f-37fb-4a5d-ac34-4fe38e266fe6 · inbound

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT cites this paper.

System Test Case Design from Requirements Specifications: Insights and Challenges of Using ChatGPT SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 14

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no resolver link, observed 2026-08-11T22:14:54.992129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:14:54.992129Z digest=sha256:e6f60629549ae1949f166af35fd2a2c0a4411fc36ff84143e21a4bc7d414d364

Observation 9533cedd-e360-4518-90d6-83b1430d75a7 · inbound

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar cites this paper.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 3

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no resolver link, observed 2026-08-11T18:16:26.654640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.654640Z digest=sha256:7b370abb8b3197bdd45878430897d4972a1bc2e28e77035effa70ab959c99c76

Observation 33b8acce-0643-49ac-805f-c73a6ec52ff8 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 94

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no resolver link, observed 2026-08-11T12:10:13.912813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:10:13.912813Z digest=sha256:7c7ffb964dec1daad7636c139c15952c795157068b3d76bf3429021f68a56200

Observation 8e557a6a-917a-4907-9809-e78844a645d6 · inbound

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study cites this paper.

How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 2

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no resolver link, observed 2026-08-11T01:04:03.409292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:04:03.409292Z digest=sha256:0906e090c6e15b8f91e020bc02dfebb46df28e938c94343b6d043ad54b64491c

Observation cdcdb827-b132-4ceb-802b-7f6006853722 · inbound

Towards Advancing Code Generation with Large Language Models: A Research Roadmap cites this paper.

Towards Advancing Code Generation with Large Language Models: A Research Roadmap SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 24

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no resolver link, observed 2026-08-10T18:24:12.755571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:24:12.755571Z digest=sha256:c31bebff2ed17639843eb537455864a88e36223522f0c169cfb945c3d577648a

Observation 48863728-1fc6-4104-b23d-878133734bb2 · inbound

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency cites this paper.

Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 28

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no resolver link, observed 2026-08-16T01:04:43.392179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:43.392179Z digest=sha256:486bba861b5313f704013b66b9b5fbb1538f74b6bd60f816102095810746fad9

Observation 5e1b7951-ef06-409a-b165-d100838ab468 · inbound

Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software Engineering cites this paper.

Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software Engineering SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 10

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no resolver link, observed 2026-08-15T23:35:48.371334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:35:48.371334Z digest=sha256:d91d2cabe3c764be2687af658de8d57734e22bb1d86ba06bb1a1dcf718933f3a

Observation f77f12a8-ceda-48ef-88f3-e2f2bb40e87f · inbound

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation cites this paper.

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 12

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no resolver link, observed 2026-08-07T15:29:58.144252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:58.144252Z digest=sha256:4b16014473f9e6c8f13e57001b52da31ff9cd93bc3a0a173c8fce19b568ddc23

Observation 4b98787c-7159-48c0-9df5-96a2acd107c3 · inbound

GPTFootprint: Increasing Consumer Awareness of the Environmental Impacts of LLMs cites this paper.

GPTFootprint: Increasing Consumer Awareness of the Environmental Impacts of LLMs SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 28

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no resolver link, observed 2026-08-07T12:38:20.086523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:20.086523Z digest=sha256:f2936c0497dbf51aac5e59bc85c831b7f75c9f22aa8035aae4f5f9c859b380ef

Observation 9712c97a-cf7f-420d-a7a5-6800b3095bbf · inbound

Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research cites this paper.

Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 25

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no resolver link, observed 2026-08-07T05:10:20.102803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:10:20.102803Z digest=sha256:c15fc04bc54339ec9f75236f959cb627d2d8de920d97a675489bd77e4258f987

Observation f89d33e4-b6ed-44f9-a4cd-26f78b8ca777 · inbound

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation cites this paper.

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-19T10:22:14.573726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T10:19:07.701197Z digest=sha256:920edb529e278c457f3f92062d1b4c6f1e774a2eef4d4d824acd475282589a6a

Observation cee293ba-af1c-4395-85e8-09563ab6c83d · inbound

ChatModel: Automating Reference Model Design and Verification with LLMs cites this paper.

ChatModel: Automating Reference Model Design and Verification with LLMs SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 42

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no resolver link, observed 2026-08-15T19:48:43.364939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:43.364939Z digest=sha256:4029d1450166d825f57e6a0de71b7aa979d7c0a2e1a8d6127caa12cee0bbe1cf

Observation a226848d-94db-480e-b39f-48097b7546a3 · inbound

Generating Privacy Stories From Software Documentation cites this paper.

Generating Privacy Stories From Software Documentation SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 45

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no resolver link, observed 2026-08-06T21:58:20.561761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:58:20.561761Z digest=sha256:c11ae50777946b2d87d474ae79295a25c37d0344b914957fd3c7d5329fc14bab

Observation 918c7b8c-6c40-4878-8711-7b74779eb127 · inbound

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback cites this paper.

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 2024

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no resolver link, observed 2026-08-06T21:16:40.724767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:40.724767Z digest=sha256:3b9d9b185acbb0a9ecdc45c879d7571ab727e3f5bbf388e14af1a0ad88f488e0

Observation 0120652d-d560-452c-9670-4b6bb437c907 · inbound

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code cites this paper.

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 16

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no resolver link, observed 2026-08-06T19:34:35.658724Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:34:35.658724Z digest=sha256:a25123fbd4f20dc38cc7436fc5d8201c909757d527c6a373bd9ebbbcf2f8d38c

Observation e604d2bf-c578-4a67-afd6-552af2d653da · inbound

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses cites this paper.

Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 18

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no resolver link, observed 2026-08-05T23:40:02.899243Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:02.899243Z digest=sha256:4a45b5f1290aad7fddf2a51c0839da82f343980d5c940380bd22348580b58086

Observation 669f7c96-c27e-480c-b101-c35643cbc592 · inbound

Cognitive Agents Powered by Large Language Models for Agile Software Project Management cites this paper.

Cognitive Agents Powered by Large Language Models for Agile Software Project Management SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 65

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no resolver link, observed 2026-08-05T17:59:30.787955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:30.787955Z digest=sha256:718760cdef5575394a562014f7b9ad2da50d28a1592dbf8da6f2b4b1ce6365ed

Observation f0b3a501-dd68-4174-9305-7c2265e2bfa5 · inbound

WALL: A Web Application for Automated Quality Assurance using Large Language Models cites this paper.

WALL: A Web Application for Automated Quality Assurance using Large Language Models SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 6

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no resolver link, observed 2026-08-04T18:33:54.428279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:33:54.428279Z digest=sha256:70ca3dd1bfb1a2902da8e4bb3d0e9de6e59b443de433d368bea7c734775ecc91

Observation 467f1f17-883d-4cb7-a250-bffa62ab9c29 · inbound

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 18

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no resolver link, observed 2026-08-04T06:49:07.442627Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.442627Z digest=sha256:9f7a68ce6697b36f51268a0533b2d6367c5f9a71213ad306dbef47eeabbe6114

Observation 2ad1721d-0119-4239-aa3e-becf9834a970 · inbound

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.

Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 32

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verified exact
arxiv_id, observed 2026-05-17T03:38:57.967974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T03:38:40.078229Z digest=sha256:58f571f8b519d7f3c0426d543061310027d279a17b5397f621bc59e8658872a3

Observation 2d71fff1-d696-4b09-9c95-42b9ca465588 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 12

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arxiv_id, observed 2026-05-15T14:35:55.924165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:12b5057b2cea486ed3553224a6b8cb6d71f215dd40cd7b700235666e73398da7

Observation 107b2982-f390-4b34-83c7-228a47553eb3 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 12

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no resolver link, observed 2026-08-02T18:43:43.340828Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:43:43.340828Z digest=sha256:f272df4bcf50a0b1ee958e08b32b328f86c227ae44267ba363df2edc3f0578a3

Observation 1a9655e4-421a-4f1f-84af-48b735983b33 · inbound

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review cites this paper.

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 34

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verified exact
arxiv_id, observed 2026-05-11T07:26:01.078200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:11:23.553461Z digest=sha256:94f2c79ae28313b279af36a4625795a42afa241124a4f3ca0fbe9c361e5d7889

Observation 7ca62fbd-22e4-4775-a432-a3eb95cb1dc2 · inbound

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 25

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verified exact
arxiv_id, observed 2026-05-15T19:56:33.910768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T19:52:49.324500Z digest=sha256:1a8f10f83060a29c8aa71086b55befcec531edb81b431cf958c319165b0d4eac

Observation d145b1f2-ff57-4752-98ce-edb1f4282438 · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 164

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metadata mismatch
arxiv_id, observed 2026-05-11T15:36:08.533215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-09T19:34:51.433422Z digest=sha256:e3aee2708f9b6809b214467c2c06e515f578953c3b2c33096de5d1c0161b8e49

Observation aff8c62f-d065-46e3-93d8-e49885c4e67f · inbound

WebDesignIter: Co-Evolving Design Knowledge for Repository-Level Front-End Code Generation cites this paper.

WebDesignIter: Co-Evolving Design Knowledge for Repository-Level Front-End Code Generation SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:25:48.783165Z digest=sha256:845015b4d8ac3a4a6eb0fd4b96d710cb993176f2068abd39ca74034a20880c4d

Observation 5607756b-983a-4bfa-9e18-d3b6a3ad2b7e · inbound

Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development cites this paper.

Bridging Behavior and Implementation: Automated Java Glue Code Generation for Behavior-Driven Development SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 35

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no resolver link, observed 2026-08-01T12:00:24.439954Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:00:24.439954Z digest=sha256:151dce46aaedffaafde4ebcb541ccc642d84562cfed50178864429c8c87602e6