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Paper Citation Record · LEDGER

BeSpec: Behavior-Level Specification Alignment for Code Generation

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.02949.

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

pith.paper-citation-record.v1
2607.02949 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:53:52.470666Z

measured 32 of 32 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 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

32 of 32 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier1
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External citation measurements

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Outbound references

Observation f2aa70b2-929f-469d-8c94-bb1799977a65 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

BeSpec: Behavior-Level Specification Alignment for Code Generation Evaluating Large Language Models Trained on Code

Reference 1

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:e4dd681c1a4b17e8a3ba3136b71105d222e49ec0e9f577ed0f75116f81c65df7

Observation 503121c1-4d66-4e75-ad09-dde159267411 · outbound

This paper cites Program Synthesis with Large Language Models.

BeSpec: Behavior-Level Specification Alignment for Code Generation Program Synthesis with Large Language Models

Reference 2

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Observation b62651cd-5c63-49c9-ad94-886e879006ae · outbound

This paper cites Competition-level code generation with AlphaCode,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Competition-level code generation with AlphaCode,

Reference 3

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:f03e1c5695719cc5fb325cd21e20d6e32486d4baadbef60ff8c3b560398ddb4b

Observation 4e33ad03-93e2-4eb9-9fef-b2cbd6029239 · outbound

This paper cites A survey on large language models for code generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation A survey on large language models for code generation,

Reference 4

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Observation b93ddf22-65da-47b8-921e-50b37d53ea04 · outbound

This paper cites Large language models for software engineering: Sur- vey and open problems,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Large language models for software engineering: Sur- vey and open problems,

Reference 5

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Observation c6548bad-6a7a-4383-8e04-35fde027ae3d · outbound

This paper cites Automated repair of ambiguous problem descriptions for LLM-based code generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Automated repair of ambiguous problem descriptions for LLM-based code generation,

Reference 6

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:6cf592fb2d6bafd588138a53be21765d48478c35b4daac937f6786ad3f95f733

Observation e5f945a5-0e40-4ec2-8740-c38ab37c0c9b · outbound

This paper cites Aligning requirement for large language model’s code generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Aligning requirement for large language model’s code generation,

Reference 7

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:2f0e52fa5e21db33a1627ae6f83060e68022fe3631c12d65cc5d6e748f43a208

Observation e3cae908-935d-4a97-bbd7-91ab0e9edbe6 · outbound

This paper cites Fixing large language models’ speci- fication misunderstanding for better code generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Fixing large language models’ speci- fication misunderstanding for better code generation,

Reference 8

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Observation b5aef482-83ec-4022-8f02-a815ec9b1523 · outbound

This paper cites ClarifyGPT: A framework for enhancing LLM-based code generation via requirements clarification,.

BeSpec: Behavior-Level Specification Alignment for Code Generation ClarifyGPT: A framework for enhancing LLM-based code generation via requirements clarification,

Reference 9

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Observation 41f865c8-8e78-450a-a31f-6e0ab3a21d84 · outbound

This paper cites Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation.

BeSpec: Behavior-Level Specification Alignment for Code Generation Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation

Reference 10

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:5d37c401a9dbd123088cb26246ff64dc3d02d08d118f3129c68de2e67b11b2e4

Observation 5894884e-8d7c-409c-a1d4-2e613de02ec6 · outbound

This paper cites SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data.

BeSpec: Behavior-Level Specification Alignment for Code Generation SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data

Reference 11

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Observation 96f09384-6fab-4df4-8e5d-c11bfa8e47ab · outbound

This paper cites Teaching large language models to self-debug,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Teaching large language models to self-debug,

Reference 12

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Observation 379f5321-02e6-42ec-910e-3ea42b9058e0 · outbound

This paper cites Is self-repair a silver bullet for code generation?.

BeSpec: Behavior-Level Specification Alignment for Code Generation Is self-repair a silver bullet for code generation?

Reference 13

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:6245f51a3e8a1b360fced92fc8cb44caeae9cbbc5a69dd029aa8557910fc3a47

Observation 89a2b1b2-a13d-48de-a4dd-32078896913a · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

BeSpec: Behavior-Level Specification Alignment for Code Generation AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 14

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Observation b1c1323a-6973-4841-be62-391030445065 · outbound

This paper cites Self-collaboration code gener- ation via ChatGPT,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Self-collaboration code gener- ation via ChatGPT,

Reference 15

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Observation 24572a7c-d9df-4b17-8d6f-bea1954607d0 · outbound

This paper cites A pair programming framework for code generation via multi-plan exploration and feedback- driven refinement,.

BeSpec: Behavior-Level Specification Alignment for Code Generation A pair programming framework for code generation via multi-plan exploration and feedback- driven refinement,

Reference 16

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:3ec4a90df842f9b745392265cc45d99b7ab9eb9290b536352988873790825797

Observation 4a26e5f0-9cd8-4bad-bbf1-b82d0b67d327 · outbound

This paper cites Structured chain-of-thought prompting for code generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Structured chain-of-thought prompting for code generation,

Reference 17

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Observation e733066a-46c9-48cc-9581-27c709b46aef · outbound

This paper cites Mutation-Guided Unit Test Generation With a Large Language Model ,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Mutation-Guided Unit Test Generation With a Large Language Model ,

Reference 18

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Observation 00cf67aa-36d8-422c-9de6-50fbbb428a0e · outbound

This paper cites Available: https://doi.ieeecomputersociety.org/10.1109/ TSE.2026.3682975.

BeSpec: Behavior-Level Specification Alignment for Code Generation Available: https://doi.ieeecomputersociety.org/10.1109/ TSE.2026.3682975

Reference 19

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Observation 1b1862ef-8877-40eb-9f4f-b7294e30dadb · outbound

This paper cites Hallucination to consensus: Multi-agent llms for end-to-end junit test generation,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Hallucination to consensus: Multi-agent llms for end-to-end junit test generation,

Reference 20

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Observation b127f97d-495c-4f39-a80e-09e57235dd18 · outbound

This paper cites TOGLL: Correct and Strong Test Oracle Generation with LLMs.

BeSpec: Behavior-Level Specification Alignment for Code Generation TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 21

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Observation 2596bb44-248d-4549-8233-dd564c32d262 · outbound

This paper cites Quantum machine learning-based test oracle for autonomous mobile robots,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Quantum machine learning-based test oracle for autonomous mobile robots,

Reference 22

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Observation ec33b57e-b50b-426d-938c-73d5649c21c0 · outbound

This paper cites CodeT: Code generation with generated tests,.

BeSpec: Behavior-Level Specification Alignment for Code Generation CodeT: Code generation with generated tests,

Reference 23

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:a3edca557d1f7d50668c6212241b7a43c042e1d2528a04a3c33cbed23f3fc285

Observation beee1c06-1722-4c7f-8253-a9e6f8eecff9 · outbound

This paper cites Enhancing large language mod- els in coding through multi-perspective self-consistency,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Enhancing large language mod- els in coding through multi-perspective self-consistency,

Reference 24

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Observation d8b8ae08-2599-4bb7-8004-c32055c1533f · outbound

This paper cites XCodeEval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval,.

BeSpec: Behavior-Level Specification Alignment for Code Generation XCodeEval: An execution-based large scale multilingual multitask benchmark for code understanding, generation, translation and retrieval,

Reference 25

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Observation 9225b8e0-a116-4c29-95e4-5a7109dfbd97 · outbound

This paper cites Measuring coding challenge competence with APPS,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Measuring coding challenge competence with APPS,

Reference 26

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Observation e3a254b6-7b83-4bde-b9b7-e4b31ade6336 · outbound

This paper cites LiveCodeBench: Holistic and contamination-free evaluation of large language models for code,.

BeSpec: Behavior-Level Specification Alignment for Code Generation LiveCodeBench: Holistic and contamination-free evaluation of large language models for code,

Reference 27

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Observation 8001787a-0b37-427b-99f0-8ff6e9ab50e9 · outbound

This paper cites OpenRouter: The unified interface for LLMs,.

BeSpec: Behavior-Level Specification Alignment for Code Generation OpenRouter: The unified interface for LLMs,

Reference 28

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Observation c393cdcf-d29f-4b37-8c40-0de254f0ca4c · outbound

This paper cites The measurement of observer agreement for categorical data,.

BeSpec: Behavior-Level Specification Alignment for Code Generation The measurement of observer agreement for categorical data,

Reference 29

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source=pdf_text observed=2026-07-12T05:53:52.470666Z digest=sha256:622310e828daa7869ffec93b8b30a7f350769e69ba60d75dd967171da329c9b0

Observation b05489b7-ada9-4e7e-9567-aa6c3532f9f6 · outbound

This paper cites A coefficient of agreement for nominal scales,.

BeSpec: Behavior-Level Specification Alignment for Code Generation A coefficient of agreement for nominal scales,

Reference 30

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Observation d0de9e63-2b2d-413d-8132-a9f9da4ceff5 · outbound

This paper cites Judging LLM-as-a-judge with MT-Bench and Chatbot Arena,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Judging LLM-as-a-judge with MT-Bench and Chatbot Arena,

Reference 31

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Observation 8432cc99-0841-45ff-ba86-147735770428 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback,.

BeSpec: Behavior-Level Specification Alignment for Code Generation Self-refine: Iterative refinement with self-feedback,

Reference 32

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Pith citing papers

No inbound Pith citation observations are available.