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Paper Citation Record · LEDGER

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar

As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2412.08109.

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

pith.paper-citation-record.v1
2412.08109 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:16:26.871924Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:37:51.790000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:26:04.420073Z

Reference resolution

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5cd3a3b-d921-4a00-8ff1-2f93e5a6f16c · outbound

This paper cites An empirical study of the code generation of safety-critical software using llms,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar An empirical study of the code generation of safety-critical software using llms,

Reference 1

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no resolver link, observed 2026-08-11T18:16:26.646913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.646913Z digest=sha256:ed4b5d5b7b75728317e8d2d5f5e00670e12cbbd06e01e81407a14eccf0e1c639

Observation 6ab5d259-9e9d-44bb-bc49-2405d1c59361 · outbound

This paper cites A review on code generation with llms: Application and evaluation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar A review on code generation with llms: Application and evaluation,

Reference 2

Resolution
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no resolver link, observed 2026-08-11T18:16:26.650894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.650894Z digest=sha256:0478b7c6e7ee5e87100e88da1ed2652ce72df7fcda6aca7dede9e83e8095b988

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

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

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:f67350cb9ff73609fed5f77848ee3c6ed0b7a4f6e3debdeb0448d64aca18f627

Observation 9c29ab5a-3272-4ae6-be70-dcd30e098633 · outbound

This paper cites How novices use llm-based code generators to solve cs1 coding tasks in a self-paced learning environment,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar How novices use llm-based code generators to solve cs1 coding tasks in a self-paced learning environment,

Reference 4

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no resolver link, observed 2026-08-11T18:16:26.658397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.658397Z digest=sha256:76d2af2dc101b07112232fb8dbaa2b6a5e51f5ef98df3cf11d98a4027ea27a69

Observation 8b28cecb-3030-4304-b7ca-f7304f800165 · outbound

This paper cites Llm-based and retrieval-augmented control code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Llm-based and retrieval-augmented control code generation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.549450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.662581Z digest=sha256:914c7aa6ad6018196b4cf7aa5715005446759de360aef990ee3f9af90bdc5247

Observation ecdb8613-ee29-4043-9fc7-c8d499b8dcf2 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.666546Z digest=sha256:8b53d467024cede71d996c8d228e43883b857c546c7fadc54fd686c9ad6a1053

Observation 96d3e6c8-3e6f-4a8a-82ff-6496f9855eee · outbound

This paper cites Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.670461Z digest=sha256:0150f12339f3c098dbfc4618e8109843f3e6ff024c03715b369937805272ddf6

Observation e7a28083-011b-437e-abe8-cbcbe7bd0656 · outbound

This paper cites Evaluating Language Models for Efficient Code Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Evaluating Language Models for Efficient Code Generation

Reference 8

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no resolver link, observed 2026-08-11T18:16:26.673826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.673826Z digest=sha256:4375d00e0cd7a8a38233986db26fa97097202305d38b2a89bf7ea649939648fa

Observation bf36b24e-f8e1-4b29-b4f1-b3d680528d83 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Evaluating Large Language Models Trained on Code

Reference 9

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no resolver link, observed 2026-08-11T18:16:26.677516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.677516Z digest=sha256:fc4cf0a99a00f01969f25709099ca3fb3f7786afda27b4586575099f4df1cb5c

Observation d3e9cd2b-d5c0-4f69-95ba-b880f9ae19bc · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.681696Z digest=sha256:5be08475ed16fe3f7fc5ab3baf5a707d7a59d56e01cb62fb8b4abc76b5b80be0

Observation d6a7601e-7fda-4603-b6b4-3ed57b8e4f3f · outbound

This paper cites AixBench: A Code Generation Benchmark Dataset.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar AixBench: A Code Generation Benchmark Dataset

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.685520Z digest=sha256:ff6d20a882ba26a0ecec174337bef0edcab2c63d4da5d6d3fdee83217e013735

Observation a89d9f81-c2f0-4e14-b360-235bac7266de · outbound

This paper cites Ds-1000: A natural and reliable benchmark for data science code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Ds-1000: A natural and reliable benchmark for data science code generation,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.688947Z digest=sha256:7a123938c77ca3fd944a13f356c814f0a9f989a8af9a78822fb6bbce0a819dfd

Observation 7e437915-dffe-4a7b-a528-69232c651a0a · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 13

Resolution
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no resolver link, observed 2026-08-11T18:16:26.692355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.692355Z digest=sha256:78763ee620406687338bb21cd460d9cb314212609c1251ea0b0de6fffc074402

Observation 1406854a-b6e9-49a1-b5e7-966131e5827c · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 14

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no resolver link, observed 2026-08-11T18:16:26.695477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.695477Z digest=sha256:7b9d611b715b8e7f353f133e0e288bd10c2645ca743aa8dab77d036c6dd3f6a2

Observation 8a65bea4-ef79-4372-92d9-1a522de98711 · outbound

This paper cites DevEval: Evaluating Code Generation in Practical Software Projects.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DevEval: Evaluating Code Generation in Practical Software Projects

Reference 15

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no resolver link, observed 2026-08-11T18:16:26.698565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.698565Z digest=sha256:2fd262903e50e6fd6d226e1faf83babf9309907dac7cc6cc0f8b98a67f6ea723

Observation 92e580f4-0cbf-46de-b1a7-2d718e20e7ab · outbound

This paper cites DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation

Reference 16

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no resolver link, observed 2026-08-11T18:16:26.702302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.702302Z digest=sha256:8ebd1282e53015dda46548206175743f047b54227b72c2c56ebc65dd6f93a8cc

Observation f16b750a-7c2f-4647-8e5e-6a41ed7180a8 · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.526350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.705709Z digest=sha256:ecf1a9550f5db4726cec27047f349bac331109bd664b592ef15a330f051cc583

Observation 0ff20470-b300-4874-a1b2-48f33c87e0bd · outbound

This paper cites Automatic code generation from design patterns,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Automatic code generation from design patterns,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T18:16:27.515701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.709409Z digest=sha256:39b8892b743351dfea9762fc259e400205c573761f1d0c132c70ca174412241b

Observation c5516541-fa8b-4dab-a597-c6ca1685763b · outbound

This paper cites Intellicode compose: Code generation using transformer,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Intellicode compose: Code generation using transformer,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.505155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.712748Z digest=sha256:da1322fd96847ec64405f9ee9e5a3e5901d9503353eadeb9f95b75db7f1fc00a

Observation 8e62d647-485c-4b9a-bc01-13c8da1e8266 · outbound

This paper cites Towards better multilingual code search through cross-lingual con- trastive learning,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Towards better multilingual code search through cross-lingual con- trastive learning,

Reference 20

Resolution
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raw_fallback, observed 2026-08-11T18:16:27.494276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.715889Z digest=sha256:834a75250d8c872c1eb2f909672c414e15cf02ea850e874bf9a80475cd4402d1

Observation df995721-d743-425f-8953-0c7e004d02c5 · outbound

This paper cites Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.484641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.719326Z digest=sha256:f93034718f35c892904f4604e30f9c65000a200fdbe8d5d492bf317c79f77de8

Observation 804068a8-f110-4118-98f8-5a2856a05560 · outbound

This paper cites GPT-4 Technical Report.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar GPT-4 Technical Report

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.722915Z digest=sha256:0054cfb526a2f4e51ce8b140d0d885b791d544f6a784960478e1954f4979d20f

Observation 35681d33-0396-4834-b1c8-35ebfadec266 · outbound

This paper cites GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.726089Z digest=sha256:be33a014b7ec5747543a2d94262ffc951ad4215b786536c2e1a8d5d576f89f97

Observation 546415e6-0ccf-4a6e-ada9-4f3ae4c53ed5 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 24

Resolution
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no resolver link, observed 2026-08-11T18:16:26.730314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.730314Z digest=sha256:5f6e0768b1051b390d980eb1e1da194a3c0d59be1c6a22f18b2dd0cf93b4fa47

Observation ba660742-af01-47a9-a391-46d6ffcc8b43 · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar A Survey on Evaluation of Large Language Models

Reference 25

Resolution
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no resolver link, observed 2026-08-11T18:16:26.733872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.733872Z digest=sha256:cf2356d67e809b88fe56e7a94a17f37ce60dffd012c4cdea514c27b035d87a6a

Observation 4bc90412-dacc-495a-abc0-e0142d1141b7 · outbound

This paper cites PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 26

Resolution
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no resolver link, observed 2026-08-11T18:16:26.737213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.737213Z digest=sha256:9781dea44d003883118c4b1bebf08ebc46944c1fdfbb7fa4c9af049c7a24c820

Observation 064e15d7-b85a-4624-936b-1102132c0200 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar StarCoder 2 and The Stack v2: The Next Generation

Reference 27

Resolution
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no resolver link, observed 2026-08-11T18:16:26.740891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.740891Z digest=sha256:e853225c948885c09304f93b7a572cb6255e8f0fe2822af26ff3ef04e1a8f7c0

Observation 8e37c08b-9173-4b9a-8a12-fd6115272824 · outbound

This paper cites Large language models meet nl2code: A survey,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Large language models meet nl2code: A survey,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.473048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.744296Z digest=sha256:e854aea23bef81d1b033a341d3aeaf566ff1baa4f0845280b8ab9095cd0fd8fa

Observation 45181627-80b1-4f6d-b4d3-e5edf8314ef2 · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.747524Z digest=sha256:c5cf92bcdbf505152dee1e1946a7eef840e17475ff3248895043579f3f892c73

Observation 546d27aa-c4ee-4075-b59e-aa5aef4b4e73 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 30

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no resolver link, observed 2026-08-11T18:16:26.750957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.750957Z digest=sha256:63939c3a940b25a138fc8dc61edeee7c303ebf99cfe4ea56f5b64890f0ae350f

Observation 6b62b131-ba6d-4653-86df-a52adfe3e41c · outbound

This paper cites At Which Training Stage Does Code Data Help LLMs Reasoning?.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar At Which Training Stage Does Code Data Help LLMs Reasoning?

Reference 31

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no resolver link, observed 2026-08-11T18:16:26.754169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.754169Z digest=sha256:753ad8519480ecb348ad0e5ddf81dfa607b6eb33ff93afd482c5d768dcb91204

Observation 4b1ebe85-f8bd-4eb5-93ac-9998b1457099 · outbound

This paper cites Cct5: A code- change-oriented pre-trained model,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Cct5: A code- change-oriented pre-trained model,

Reference 32

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no resolver link, observed 2026-08-11T18:16:26.757986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.757986Z digest=sha256:346c26fa86d193aa776ae997a798904948ed3052637ce21caf5d4486d0ea8d71

Observation 4c17f73b-15cf-41a6-b56d-10a127ef7d03 · outbound

This paper cites Codep: grammatical seq2seq model for general-purpose code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Codep: grammatical seq2seq model for general-purpose code generation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.456390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.761073Z digest=sha256:947c361b4a6767b3065b785fe2d80f656048bc90a069c11411fd8f9367923c04

Observation d10e07f2-0d02-4fb9-b2e6-91f40dc3e5c0 · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar InCoder: A Generative Model for Code Infilling and Synthesis

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.764205Z digest=sha256:af468713efca267f8b679e37302fb914d088a5e9514a1266bc9181d40b489681

Observation e9b58f9b-527e-4aea-b136-2028b04ef52d · outbound

This paper cites StarCoder: may the source be with you!.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar StarCoder: may the source be with you!

Reference 35

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no resolver link, observed 2026-08-11T18:16:26.767755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.767755Z digest=sha256:3dc5fb3a682f45cfdb48163d30024780eb2598004e7c8132a785d4e7212c7ff6

Observation 410872e7-0e2f-424f-ba36-303b06074e7d · outbound

This paper cites (2023) instruct-starcoder.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar (2023) instruct-starcoder

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.445808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.771895Z digest=sha256:94d0aeec42a25391414d2114bdb4e46fef8c8f3a53d90c27a52d2d84d7ee5328

Observation b7170a9e-f133-4930-b724-3bdaf1d90165 · outbound

This paper cites Chatgpt,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Chatgpt,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.436271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.775404Z digest=sha256:0a5ebda8af95dfb6ca1c0ce3f0f04e9be4770783058bdec15775d7f6f273dc3a

Observation a96e0fe5-813a-4274-9951-ba22a90968a2 · outbound

This paper cites Skcoder: A sketch- based approach for automatic code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Skcoder: A sketch- based approach for automatic code generation,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.426792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.778408Z digest=sha256:07336fdcdac81b6bd66ab19a4e725ae272210111d1116af447f584e397b42aef

Observation 42043897-0d5b-4b7b-9e29-7807fa6a5960 · outbound

This paper cites Karecoder: A new knowledge-enriched code generation system,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Karecoder: A new knowledge-enriched code generation system,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.416554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.781484Z digest=sha256:33a521e7c9bbedc485636499a584693d9e55c567d82cf424653fbd5463d6a883

Observation 000442f8-4d3c-45b5-877a-25f3fa634452 · outbound

This paper cites EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.784531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.784531Z digest=sha256:d2aa7c9e93a53e594c5fa716bbd0402ac4af5087172e634cfd8ad03204822970

Observation 90c29c57-16ec-4e71-82ab-ca5264a74d1a · outbound

This paper cites Program Synthesis with Large Language Models.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Program Synthesis with Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.787708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.787708Z digest=sha256:0afc3fd9ffb8365a1d74825cff4ea74d47f270ba881469cd17ed479e2e0e9bcb

Observation 55c6a3d4-6595-4532-8393-9f27b8bdf71b · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.790934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.790934Z digest=sha256:8c8ac2286c45e962db654596430652c32b1178eac249b19278516b60e435500b

Observation 368b05e7-0aed-433b-a2d1-96d3c6a38c6d · outbound

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

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Competition- level code generation with alphacode,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.794435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.794435Z digest=sha256:065aa85067eb48dd14f9159cbfc1cbd9e888a1ffb7fb91c61b428d80cc93391d

Observation 91f65ead-0347-44ae-9e7f-3295426ad140 · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.798248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.798248Z digest=sha256:7f0e2437b0a581fdbebec85cfd820bb03e1a6e0fa019efdce55d73679fdb14dc

Observation 42b46327-4eca-4191-8ad8-a21bd5f2a42c · outbound

This paper cites Beyond Code Generation: Assessing Code LLM Maturity with Postconditions.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Beyond Code Generation: Assessing Code LLM Maturity with Postconditions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.801513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.801513Z digest=sha256:f42c1130614633dec6264240c413d8738a400fbc5ede6587dc2ea80a017a4ad4

Observation cee38daa-e2b9-46f6-b7b0-37089b40af7b · outbound

This paper cites Ex- ploring and evaluating hallucinations in llm-powered code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Ex- ploring and evaluating hallucinations in llm-powered code generation,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.804862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.804862Z digest=sha256:8109a8480a6b910bd5174189d8f864b5d6bcf17547ad6ddfbbed77adbf3ac364

Observation 20eeec78-4782-4db1-b0c5-9b4f3e8ed700 · outbound

This paper cites Calibration and Correctness of Language Models for Code.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Calibration and Correctness of Language Models for Code

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.808838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.808838Z digest=sha256:2d14536e39feb7293f2e56ca0c8346c077b29541c32b35d309d54724a22bf303

Observation adcbdedf-7b55-4817-b71f-dfd011f56d36 · outbound

This paper cites HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.812431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.812431Z digest=sha256:b0d66ba8c9d0a3f19d9e455ccdfb20f37b951787e8a9dfa8f10721693653535c

Observation 675bb221-099a-4fe0-9771-633f0a612f56 · outbound

This paper cites ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.815971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.815971Z digest=sha256:43c98d46408fe84b781c98174e5cf16f9aedc3576ff7710e24d69ba235538d32

Observation 4f77c868-72ec-44a5-a8f7-aded26e3569e · outbound

This paper cites Acecoder: An effective prompting technique specialized in code generation,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Acecoder: An effective prompting technique specialized in code generation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.399611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.820242Z digest=sha256:97fbcbfb7f4a82fb69d335a25db6b48fe17e72d4c03b885f2df0c4b761ec5655

Observation 35d9220d-b499-4119-bc5f-eba1cedd2041 · outbound

This paper cites Leetcode,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Leetcode,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.390399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.824479Z digest=sha256:540a7c9801eab6ba758530df9b455b9026787f5647b3f9aaf5d6ff8e5a3a3b4a

Observation c16bad2a-2cc3-4941-8e48-59abb84b410d · outbound

This paper cites Code obfuscation against static and dynamic reverse engineering,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Code obfuscation against static and dynamic reverse engineering,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.381667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.827803Z digest=sha256:7e5aeddc98b9053b317484b0a7f0b8deb1c3b8ae7b84e50eb79270ee35dd6e77

Observation 28a0becf-dfd2-4758-a369-dd7d61bc2754 · outbound

This paper cites Protecting software through obfuscation: Can it keep pace with progress in code analysis?.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Protecting software through obfuscation: Can it keep pace with progress in code analysis?

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.372129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.831412Z digest=sha256:46932cb11584c4e277a34f8a631fb83691628d49f75e6ab5ee63c2eb3d3ab693

Observation 6efdcae1-d74c-4faa-b995-e10fb128f7b0 · outbound

This paper cites Code obfuscation literature survey,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Code obfuscation literature survey,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.361538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.835688Z digest=sha256:9c6638e530a74efb5248fd87578911059417c48d901e933a0b778645ff5cefc4

Observation 077d7320-b20c-4188-bbf6-76d6c3a3b15b · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.351483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.839483Z digest=sha256:533542d79ea59ec962019e4005381fa1eb524da6513a2cdedff44c8f17ae743f

Observation 75c84bf6-ce16-4f8f-b185-167beb0b1adc · outbound

This paper cites Libgit2,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Libgit2,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.342003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.843104Z digest=sha256:6f35fb52095afbaafb006a718614044baa034f9cb280d776834ebb67b78f61fd

Observation bf721808-3c52-45c2-a31c-17fc2e0f4fa1 · outbound

This paper cites Libvips,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Libvips,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.332156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.846723Z digest=sha256:fe53b31ed8fa992bb66622d2e603b1b4a86ba5cf31776df50572ad8381b6b975

Observation df58eef6-93bb-4065-9d05-2071cf25a435 · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.322327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.850204Z digest=sha256:e8771c953d995dc1b046b2f3c9c00948e985395837cd6ad97ebbd57bcd00d742

Observation 0997871b-3117-4346-bcaa-ee100b84448a · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.312940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.853808Z digest=sha256:bd31ecfa78817b21d6dab1619290a1d9574e7e59025874cbf74a9312116bd6f5

Observation 3599083e-22bd-4615-9f3b-60198e473a9e · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.301401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.858307Z digest=sha256:648b30a4f1df8574c593365514ff7d975ecefc734efb15e673889e27299545a7

Observation 55895638-7275-476c-8784-b0dd2e8923d9 · outbound

This paper cites an unresolved cited work.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:16:27.291012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.861953Z digest=sha256:11ddbeb219fa4b378235409b528c9412bd2ac3c88757831178ba54d089b1963a

Observation 7673ad0b-83be-44f8-8aed-c30732e9583d · outbound

This paper cites gpt-3.5-turbo,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar gpt-3.5-turbo,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.281125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.865159Z digest=sha256:66008106f3d8564e4788629b33cc87bc72f40ecf54d6d983ad20b9f188393b97

Observation b50e5325-3e47-4aaf-8041-3abe774ce9ee · outbound

This paper cites gpt-4.0-turbo,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar gpt-4.0-turbo,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.270968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.868714Z digest=sha256:42d2c6f0365c31167d42535c30820d7d3a6f36ef0453c4b8c701b81a2531374b

Observation 93f54ff3-1e46-41e1-ba9c-3f32eaa4c6b1 · outbound

This paper cites Deepseek-coder-v2,.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar Deepseek-coder-v2,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:16:27.260886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:16:26.871924Z digest=sha256:40b60944c4f7869ef73e942d7290be3b290204111d51200c705aa167dbc5d0c1

Pith citing papers

Observation cd73d942-c866-4ae7-86bb-bfb0eb32eeab · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:04.424119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:94287d4a3fb235d26d267aebd6e6b0a6d1613b82bc7836832bd77d102d843cb1