Paper Citation Record · LEDGER

Does Few-Shot Learning Help LLM Performance in Code Synthesis?

As of 15 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 6 inbound Pith citation observations for arXiv:2412.02906.

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

pith.paper-citation-record.v1
2412.02906 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:05:38.406649Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:35:27.741292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:08:32.492410Z

Reference resolution

71 of 71 outbound references displayed

verified exact2
verified fuzzy0
unresolved69
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8450f8c-10ec-4072-bb6e-122706cd8210 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.917390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 027c9119-a61e-4192-b36e-1013c952e659 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.908157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f559bdd-b50a-4134-a751-32da9626b692 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Chronos: Learning the Language of Time Series

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.213626Z

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Observation e7d29e23-379e-4033-8bac-f6b7ccddba72 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.899225Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78a28117-c5f4-426c-a5ed-91462212c3f3 · outbound

This paper cites Program Synthesis with Large Language Models.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.220028Z

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Observation b55063db-8e85-459d-997e-5ecaf6b6dada · outbound

This paper cites Language Models are Few-Shot Learners.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.223097Z

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Observation f468aa35-9b6c-42a9-8ee4-0e3107a34021 · outbound

This paper cites RAMBO: Enhancing RAG-based Repository-Level Method Body Completion.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.226233Z

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Observation 7857c97e-cd20-4b45-88f0-ad7acac56830 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.890647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a264c7b5-3277-4cf0-a8ca-a166fc716ee6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Evaluating Large Language Models Trained on Code

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.231587Z

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Unavailable: canonical work link unavailable.

Observation 72a77f7c-9f4b-4d22-80e9-f167f61d1c3a · outbound

This paper cites Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.234317Z

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Observation cc5fd692-9603-467d-b6e0-c6e8b67e6814 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.882237Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e59860d-7e14-4ff0-a7d7-1d3c8b6854b0 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.239783Z

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Observation 0873c1d5-acc8-4d2a-a3c5-accbe65bbcb4 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? A decoder-only foundation model for time-series forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.242347Z

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Observation 65660ce0-4028-47ce-b553-a1166e65e918 · outbound

This paper cites The Llama 3 Herd of Models.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.245293Z

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Observation 4acdd26f-9e17-461b-b523-dd6666dcbb70 · outbound

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

Does Few-Shot Learning Help LLM Performance in Code Synthesis? InCoder: A Generative Model for Code Infilling and Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.248126Z

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Observation d3e904a4-8ed4-4b1b-b506-0df49e6e4e63 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.868976Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ca5b1b2-4bfa-4468-9214-c231aa7f93ff · outbound

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

Does Few-Shot Learning Help LLM Performance in Code Synthesis? DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.253813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 669ed498-0849-4bc2-ac0d-d0c500069e06 · outbound

This paper cites Harris, K.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Harris, K

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.256908Z

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Observation 7db5296c-55c4-44a1-9bed-ae0632fd082e · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.259727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b2374b-aa5d-4fcd-9e43-833bb684df84 · outbound

This paper cites VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.262478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f57839-3449-4d57-8998-57239914ec66 · outbound

This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.265423Z

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Unavailable: canonical work link unavailable.

Observation fb968b89-bacd-4e6b-ad3a-2d7ab6e1f4e1 · outbound

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

Does Few-Shot Learning Help LLM Performance in Code Synthesis? AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.268286Z

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Observation e694a4f1-2445-4b12-b3dc-c3320c17d3f1 · outbound

This paper cites AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:05:38.632579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5dd78f03-749f-45ab-83d8-8c4ab3111da3 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Qwen2.5-Coder Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.274311Z

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Unavailable: canonical work link unavailable.

Observation e0a356b8-c188-4a36-aaff-c30c40f639fd · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.277201Z

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Observation 14125ad0-c796-4930-b25a-7c3655d7a2d3 · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.280332Z

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Unavailable: canonical work link unavailable.

Observation c905ca3a-77af-4838-875c-a19894977f7c · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.283205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1193059-4445-4950-9a9c-e5b1b63b2306 · outbound

This paper cites Mistral 7B.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Mistral 7B

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.285850Z

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Observation eee0774b-09bc-4e08-92bd-a7e658fff28f · outbound

This paper cites Scaling Laws for Neural Language Models.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Scaling Laws for Neural Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.288887Z

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Observation ac1c5552-d175-4824-a3d4-bd460e19002e · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.845863Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3e1a0e4-648d-4b32-a61e-30ad12b7abcc · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.836920Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a3798d9-6e66-4b6d-ae4e-f49d594ae730 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 32

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Observation 9d66a4d2-8e70-4892-9e1f-a647359f6718 · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? What Makes Good In-Context Examples for GPT-$3$?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.299265Z

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Unavailable: canonical work link unavailable.

Observation de980556-588f-4d93-bd48-6ed9e56ac13a · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.301936Z

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Observation 06cb6eb2-dd74-41a2-8ee5-30b45555b2ba · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.819230Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 222bc23c-43ea-443f-bcea-fdf4084c0f76 · outbound

This paper cites Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.306546Z

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Observation c8484071-fbcb-4d2d-b415-41358018ed7e · outbound

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

Does Few-Shot Learning Help LLM Performance in Code Synthesis? StarCoder 2 and The Stack v2: The Next Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.309154Z

Source-reported events for the cited work

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Observation 117f0914-c87e-4970-841e-fe6b0a7716d1 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.312134Z

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Observation 362d379c-dc05-4ee4-a26c-850a093b8dde · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.315076Z

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Observation 257b571f-eb05-4170-91bc-f26c94f85695 · outbound

This paper cites Learning Program Behavioral Models from Synthesized Input-Output Pairs.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Learning Program Behavioral Models from Synthesized Input-Output Pairs

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:05:38.552257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e964bc4f-e1cb-4423-b6fc-af9993635573 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.810411Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09702e97-8c6c-4c5d-85b6-d86e8f8f818c · outbound

This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.324146Z

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Observation 9f9525d9-f0c3-4328-a272-9c3dc0739138 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.801642Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f9e7e3b-da07-4a79-8e95-c4ff14617279 · outbound

This paper cites GPT-4 Technical Report.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? GPT-4 Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.329816Z

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Observation 846a8183-6a98-4562-9770-e152687383ec · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 45

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Unavailable: canonical work link unavailable.

Observation 3e9e0dcf-1504-45e6-b678-7c01dff0d004 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Revisiting Demonstration Selection Strategies in In-Context Learning

Reference 46

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Unavailable: canonical work link unavailable.

Observation 00802943-86fe-4d37-a297-92c91c0de6d4 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 47

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Observation 579f6660-e17b-4c8a-8070-1a8d9b981d03 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 48

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Observation 7cbf7f2d-1aa7-483f-ae13-02c1cdd37fa5 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 49

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Code Llama: Open Foundation Models for Code

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.346584Z

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Observation a2841dcd-05dd-4b57-bf7b-149d7c607ec0 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Learning To Retrieve Prompts for In-Context Learning

Reference 51

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Unavailable: canonical work link unavailable.

Observation c963e183-5a9d-4830-b45f-3596b905a2fa · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.352603Z

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Observation beaf1392-8052-4a25-b171-27661b63ec9b · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Case2Code: Scalable Synthetic Data for Code Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.355236Z

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Observation 6b3f4387-1542-49e7-9a2a-c7796712df53 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 54

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Observation 53d358ef-c38a-4338-b5fb-b19fe209ffda · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.361011Z

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Observation 051f6ceb-8894-4fab-a753-724c7f465e92 · outbound

This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:05:38.766225Z

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Observation 13ca131b-e850-4bc9-a6f2-6942f2b43fae · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? LLaMA: Open and Efficient Foundation Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.366360Z

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Observation 3f7530f8-5160-4e10-b18b-7066b223678c · outbound

This paper cites Can Large Language Models Write Good Property-Based Tests?.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Can Large Language Models Write Good Property-Based Tests?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.369350Z

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Observation cc81a52a-d8f5-4e9d-861e-73c7b00148f7 · outbound

This paper cites RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation

Reference 59

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.374369Z

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 61

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This paper cites an unresolved cited work.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.379111Z

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Unavailable: canonical work link unavailable.

Observation 97ed32ac-821d-4c9d-81d8-707391346753 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Magicoder: Empowering Code Generation with OSS-Instruct

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.381797Z

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Observation fe30e2ee-e73b-4fbf-bfe9-1739ac4e1fb2 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 64

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unified Training of Universal Time Series Forecasting Transformers

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.387637Z

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Mixture of In-Context Prompters for Tabular PFNs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.391492Z

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Unavailable: canonical work link unavailable.

Observation 5aedba9a-4c96-414f-af84-16db4a34fa33 · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.394316Z

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.397123Z

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Observation c6968536-3dae-4834-8722-aa75d0145d0e · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T23:05:38.400219Z

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Observation e562bf8c-0569-46a9-b492-f493456b1a9c · outbound

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? online" 'onlinestring :=

Reference 70

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Does Few-Shot Learning Help LLM Performance in Code Synthesis? write newline

Reference 71

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Pith citing papers

Observation 50e75477-b9b5-4c5b-a289-2ad7fa3163ea · inbound

Rethinking Technology Stack Selection with AI Coding Proficiency cites this paper.

Rethinking Technology Stack Selection with AI Coding Proficiency Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 87

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SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs cites this paper.

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:10.434698Z

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Goal-Conditioned Supervised Learning for LLM Fine-Tuning cites this paper.

Goal-Conditioned Supervised Learning for LLM Fine-Tuning Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.080484Z

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Observation b326a2ef-dcfc-490d-a5ad-06a53ea3f3b1 · inbound

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.493793Z

Source-reported events for the cited work

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Observation 2adc67d3-d119-4985-a1dd-862d8a419a57 · inbound

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T08:42:42.063339Z

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Unavailable: canonical work link unavailable.

Observation 3741cfa5-17be-488c-95ca-c17c0dd599d9 · inbound

COMPAS: Difficulty-Aware Joint Search for Optimizing Code Generation cites this paper.

COMPAS: Difficulty-Aware Joint Search for Optimizing Code Generation Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T19:35:27.741292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.