Paper Citation Record · LEDGER

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.12463.

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

pith.paper-citation-record.v1
2607.12463 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:34:00.971942Z

measured 47 of 47 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

47 of 47 outbound references displayed

verified exact0
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87356b9c-b6e5-458b-80d1-604ef3cf3087 · outbound

This paper cites Front-loading reasoning: The synergy between pretraining and post-training data.arXiv preprint arXiv:2510.03264, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Front-loading reasoning: The synergy between pretraining and post-training data.arXiv preprint arXiv:2510.03264, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.164161Z

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Unavailable: canonical work link unavailable.

Observation e1f65f3e-f9b6-4ec0-a1d7-09230d6235ef · outbound

This paper cites Efficient training of language models to fill in the middle, 2022.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Efficient training of language models to fill in the middle, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.278225Z

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Observation 0c0fcd34-8085-414b-ac71-1f0fcae16bea · outbound

This paper cites Unveiling the key factors for distilling chain-of- thought reasoning.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Unveiling the key factors for distilling chain-of- thought reasoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.405750Z

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Observation 548e7adb-f369-491f-b1a3-c17da3be1879 · outbound

This paper cites Dataflow-guided retrieval augmentation for repository- level code completion.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Dataflow-guided retrieval augmentation for repository- level code completion

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.598549Z

Source-reported events for the cited work

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Observation 17284814-d1ae-4621-82aa-c69f843717fa · outbound

This paper cites Fullstack bench: Evaluating llms as full stack coders, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Fullstack bench: Evaluating llms as full stack coders, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.788704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44581cb5-c404-4c49-be64-31e323f306a4 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.894076Z

Source-reported events for the cited work

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Observation 5aa54cee-4739-43e2-8120-892359447799 · outbound

This paper cites Horizon- length prediction: Advancing fill-in-the-middle capabilities for code generation with lookahead planning.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Horizon- length prediction: Advancing fill-in-the-middle capabilities for code generation with lookahead planning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:56.994773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82ff36b-b053-4d80-9844-ca5838a63365 · outbound

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

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.075664Z

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Observation d446880f-f941-4771-b127-36d037e26986 · outbound

This paper cites Distil-whisper: Robust knowledge distillation via large-scale pseudo labelling, 2023.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Distil-whisper: Robust knowledge distillation via large-scale pseudo labelling, 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.162384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798a3dcd-f2a5-44d0-91d1-1c212be2afc6 · outbound

This paper cites Training long-context, multi-turn software engineering agents with reinforcement learning.arXiv preprint arXiv:2508.03501, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Training long-context, multi-turn software engineering agents with reinforcement learning.arXiv preprint arXiv:2508.03501, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.259006Z

Source-reported events for the cited work

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Observation c1ffcf2f-1ed4-4a34-8622-7e4bff098838 · outbound

This paper cites Structure-Aware Fill-in-the-Middle Pretraining for Code.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Structure-Aware Fill-in-the-Middle Pretraining for Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.411921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6da5679-11b8-463d-b018-dd6da5043e92 · outbound

This paper cites AST-T5: Structure-Aware Pretraining for Code Generation and Understanding.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models AST-T5: Structure-Aware Pretraining for Code Generation and Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.562334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b38b69-6b6d-400c-8b0d-8fa7b295b913 · outbound

This paper cites Olmo: Accelerating the science of language models.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Olmo: Accelerating the science of language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.694508Z

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Observation 9f3ddfdb-2f73-4f52-835b-dc528834992b · outbound

This paper cites DeepSeek-Coder: When the large language model meets programming – the rise of code intelligence, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models DeepSeek-Coder: When the large language model meets programming – the rise of code intelligence, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.810595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92990a3-84f3-44a8-ba63-5575ea81d4f5 · outbound

This paper cites Don’t stop pretraining: Adapt language models to domains and tasks.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Don’t stop pretraining: Adapt language models to domains and tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:57.900653Z

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Unavailable: canonical work link unavailable.

Observation c0bd3c7b-61bb-4f9e-b52e-c071f33c29c8 · outbound

This paper cites Large language models are reasoning teachers.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Large language models are reasoning teachers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.027303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab85b3a3-18b3-470e-9617-69f5d4f4ae8e · outbound

This paper cites Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.217490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c3d30f-678f-4d0d-83e8-5b1137cfd7e3 · outbound

This paper cites Minicpm: Unveiling the potential of small language models with scalable training strategies, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Minicpm: Unveiling the potential of small language models with scalable training strategies, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.393122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eda4e5a-b2e6-40c6-a54f-e1c75902a15b · outbound

This paper cites Remit: Rl-guided mid-training for iterative llm evolution.arXiv preprint arXiv:2602.03075, 2026.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Remit: Rl-guided mid-training for iterative llm evolution.arXiv preprint arXiv:2602.03075, 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.523198Z

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Unavailable: canonical work link unavailable.

Observation 5afb4dbe-0c9b-451a-b5f9-7f5df3994a02 · outbound

This paper cites Qwen2.5-Coder technical report, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Qwen2.5-Coder technical report, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.621578Z

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Observation 021825f1-96f5-4e64-b97d-070a66580359 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Livecodebench: Holistic and contamination free evaluation of large language models for code, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.759109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fb6a06-14de-41dc-a9bf-00926157b20b · outbound

This paper cites R2E- Gym: Procedural environments and hybrid verifiers for scaling open-weights SWE agents, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models R2E- Gym: Procedural environments and hybrid verifiers for scaling open-weights SWE agents, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.880140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3a3d7c-f816-4e6d-8993-32a484057294 · outbound

This paper cites SWE-bench: Can language models resolve real-world GitHub issues? InThe twelfth international conference on learning representations, 2023.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models SWE-bench: Can language models resolve real-world GitHub issues? InThe twelfth international conference on learning representations, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:58.985434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ee56de-d241-4837-9631-be9026e4a297 · outbound

This paper cites StarCoder: May the source be with you!, 2023.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models StarCoder: May the source be with you!, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.124799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d38dfb7a-4470-427f-932a-5bf9d97ded7f · outbound

This paper cites DeepSeek-V3 Technical Report.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.318359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dd3fc73-fa21-4091-9bb2-eaf18b890e9e · outbound

This paper cites GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.481214Z

Source-reported events for the cited work

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Observation 081d22a0-34ba-46c5-8151-5b680a052b5a · outbound

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

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models StarCoder 2 and The Stack v2: The Next Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.587278Z

Source-reported events for the cited work

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Observation aa31f378-ca5a-448f-b19c-6c38092530c5 · outbound

This paper cites Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces, 2026.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces, 2026

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.646175Z

Source-reported events for the cited work

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Observation 0b6e8fd6-29d6-46c0-831f-08cbe8f6f252 · outbound

This paper cites Orca: Progressive learning from complex explanation traces of gpt-4, 2023.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Orca: Progressive learning from complex explanation traces of gpt-4, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.702228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248fc594-a3b7-47c2-a6b9-4e435495731b · outbound

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

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.753653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d029276a-2be8-413c-9a45-bcba2ceb02ee · outbound

This paper cites Training software engineering agents and verifiers with SWE-Gym, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Training software engineering agents and verifiers with SWE-Gym, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.822919Z

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Unavailable: canonical work link unavailable.

Observation b344e083-df60-4779-a4a5-0b4636d0bba5 · outbound

This paper cites The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.910458Z

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Observation 01f97947-0c39-4354-8364-92020d2a748c · outbound

This paper cites Code Llama: Open foundation models for code, 2023.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Code Llama: Open foundation models for code, 2023

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T06:33:59.971834Z

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Observation 39012456-3693-4399-aae5-648fb2a670b8 · outbound

This paper cites Bridging developer instructions and code completion through instruction-aware fill-in-the- middle paradigm.arXiv preprint arXiv:2509.24637, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Bridging developer instructions and code completion through instruction-aware fill-in-the- middle paradigm.arXiv preprint arXiv:2509.24637, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.023470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4537f41a-4e0c-45eb-8bfe-720f717a5cc6 · outbound

This paper cites SWE-Lego: Pushing the limits of supervised fine-tuning for software issue resolving, 2026.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models SWE-Lego: Pushing the limits of supervised fine-tuning for software issue resolving, 2026

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.129257Z

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Unavailable: canonical work link unavailable.

Observation fa1f1b3f-2308-47f3-98dc-a357de57558a · outbound

This paper cites A survey on llm mid-training.arXiv preprint arXiv:2510.23081, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models A survey on llm mid-training.arXiv preprint arXiv:2510.23081, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.185453Z

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Unavailable: canonical work link unavailable.

Observation 1e59ec34-9868-4f70-bbfb-62ecadfbd2dd · outbound

This paper cites OpenHands: An open platform for AI software developers as generalist agents.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models OpenHands: An open platform for AI software developers as generalist agents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.248347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3824d0-ef03-4c51-8343-d4b14af82000 · outbound

This paper cites Ojbench: A competition level code benchmark for large language models, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Ojbench: A competition level code benchmark for large language models, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.346220Z

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Unavailable: canonical work link unavailable.

Observation 8e62a4c9-eda0-425d-ab96-09f746c8242c · outbound

This paper cites Toward Training Superintelligent Software Agents through Self-Play SWE-RL.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Toward Training Superintelligent Software Agents through Self-Play SWE-RL

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.428030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f644539-ff60-42de-9e55-47cedd739415 · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Magicoder: Empowering Code Generation with OSS-Instruct

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.515627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0061e03d-d629-4a21-bc1a-2656e947a121 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Agentless: Demystifying LLM-based Software Engineering Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.586435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc7f902-8ff3-4e19-8e35-15cf48e1004e · outbound

This paper cites Qwen3 technical report, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Qwen3 technical report, 2025

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.643700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4333be79-8e09-4fb9-86d6-941c508d14c7 · outbound

This paper cites SWE-agent: Agent–computer interfaces enable automated software engineering.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models SWE-agent: Agent–computer interfaces enable automated software engineering

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.703317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff29d423-88d0-48fb-a217-43024f250a2b · outbound

This paper cites SWE-smith: Scaling data for software engineering agents, 2025.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models SWE-smith: Scaling data for software engineering agents, 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.757353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81da73e-6daa-40b6-8646-c6bd7f54ac23 · outbound

This paper cites τ-bench: A benchmark for tool-agent-user interaction in real-world domains, 2024.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models τ-bench: A benchmark for tool-agent-user interaction in real-world domains, 2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.844793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544f1e8c-ec32-4e7f-a77f-0c4dd2190e59 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:00.902864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438264f4-0278-4f16-ab3c-18c2fb495098 · outbound

This paper cites Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs.

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Reference 47

Resolution: malformed identifier; no resolver link, observed 2026-08-02T06:34:00.971942Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.