Paper Citation Record · LEDGER

InCoder: A Generative Model for Code Infilling and Synthesis

As of 6 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 45 inbound Pith citation observations for arXiv:2204.05999.

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

pith.paper-citation-record.v1
2204.05999 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T02:21:20.438666Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:50:09.738567Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

verified exact17
verified fuzzy12
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

140
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d129a54b-f7d7-4542-a8a0-6229153b06d7 · outbound

This paper cites CM3: A Causal Masked Multimodal Model of the Internet.

InCoder: A Generative Model for Code Infilling and Synthesis CM3: A Causal Masked Multimodal Model of the Internet

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.486086Z

Source-reported events for the cited work

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Observation f55a99eb-5a16-4349-8d7c-42307fc0760b · outbound

This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.

InCoder: A Generative Model for Code Infilling and Synthesis Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.464819Z

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Observation bf4ca5a4-43b6-4299-9c0c-727140110e03 · outbound

This paper cites Program Synthesis with Large Language Models.

InCoder: A Generative Model for Code Infilling and Synthesis Program Synthesis with Large Language Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T02:21:20.470391Z

Source-reported events for the cited work

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Observation 0ccb66d0-bcad-48db-b34a-194cd9d2fd82 · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

InCoder: A Generative Model for Code Infilling and Synthesis Efficient Training of Language Models to Fill in the Middle

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:40:42.183417Z

Source-reported events for the cited work

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Observation e7fe405d-5e06-4724-8e88-fc310e134f66 · outbound

This paper cites AutoPandas: neural- backed generators for program synthesis.

InCoder: A Generative Model for Code Infilling and Synthesis AutoPandas: neural- backed generators for program synthesis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.573783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3cc96725-d6d6-46e1-8365-f7cd2b2b25e5 · outbound

This paper cites KERMIT: Generative Insertion-Based Modeling for Sequences.

InCoder: A Generative Model for Code Infilling and Synthesis KERMIT: Generative Insertion-Based Modeling for Sequences

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.478616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eb5cf1b4-3081-4255-a808-1e9d10bf9771 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

InCoder: A Generative Model for Code Infilling and Synthesis Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.482326Z

Source-reported events for the cited work

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Observation bbb8f573-82e5-4ba3-ae2b-28aa9683f798 · outbound

This paper cites PyMT5: multi-mode translation of natural language and python code with transformers.

InCoder: A Generative Model for Code Infilling and Synthesis PyMT5: multi-mode translation of natural language and python code with transformers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.571083Z

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Observation 1610fc66-187d-4ac7-bc4e-bdc2bcf0e772 · outbound

This paper cites doi: 10.18653/v1/2020.emnlp-main.728.

InCoder: A Generative Model for Code Infilling and Synthesis doi: 10.18653/v1/2020.emnlp-main.728

Reference 9

Resolution: verified exact; doi, observed 2026-05-16T02:21:20.459905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aa2df4ab-dbd6-44e3-952f-846e69c86527 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

InCoder: A Generative Model for Code Infilling and Synthesis The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.489793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f32bf51-4e41-44e2-bb6c-1e29a747377f · outbound

This paper cites Program synthesis.

InCoder: A Generative Model for Code Infilling and Synthesis Program synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.578706Z

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Observation d186fc92-b5b2-415c-a8a0-be57910576df · outbound

This paper cites Deep learning type inference.

InCoder: A Generative Model for Code Infilling and Synthesis Deep learning type inference

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.580819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f6bad083-3c39-49a9-abab-f119cd1b52de · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

InCoder: A Generative Model for Code Infilling and Synthesis Scaling Laws for Autoregressive Generative Modeling

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.493634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0ede364-ac41-4b9d-93df-6cd2ea8b0be6 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

InCoder: A Generative Model for Code Infilling and Synthesis CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.497139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b3726548-9f1a-41a7-af9b-14878c356789 · outbound

This paper cites Deduplicating Training Data Mitigates Privacy Risks in Language Models.

InCoder: A Generative Model for Code Infilling and Synthesis Deduplicating Training Data Mitigates Privacy Risks in Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.501037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d9806393-9b78-40d8-8ed1-431f8d778194 · outbound

This paper cites Scaling Laws for Neural Language Models.

InCoder: A Generative Model for Code Infilling and Synthesis Scaling Laws for Neural Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.504938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 30ca8fac-e5fb-4993-97ee-0d83496bf0e5 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

InCoder: A Generative Model for Code Infilling and Synthesis CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:14:02.733439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 20104e93-01c0-4611-91ac-ff608cedaa0f · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

InCoder: A Generative Model for Code Infilling and Synthesis BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.513612Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 088ce5e1-a338-44c6-8051-246140984301 · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

InCoder: A Generative Model for Code Infilling and Synthesis Competition-Level Code Generation with AlphaCode

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:43:48.088484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fb343c2f-0531-4e0d-aadb-08143229d7a1 · outbound

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

InCoder: A Generative Model for Code Infilling and Synthesis CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.521538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 073e76aa-912b-4a01-881f-10fa6a508659 · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

InCoder: A Generative Model for Code Infilling and Synthesis fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.525881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d34b840-b1fa-4678-adbf-5b4e3156c7f6 · outbound

This paper cites Training language models to follow instructions with human feedback.

InCoder: A Generative Model for Code Infilling and Synthesis Training language models to follow instructions with human feedback

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T02:21:20.530805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 636104e2-66ae-452f-8ddb-a755881977ae · outbound

This paper cites XL-Editor: Post-editing Sentences with XLNet.

InCoder: A Generative Model for Code Infilling and Synthesis XL-Editor: Post-editing Sentences with XLNet

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.552650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7569dda0-9e5a-42ea-b14a-c93d287d201a · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

InCoder: A Generative Model for Code Infilling and Synthesis LaMDA: Language Models for Dialog Applications

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.556451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8dc314c4-84c9-465c-9bb6-18129118492b · outbound

This paper cites LambdaNet: Probabilistic type inference using graph neural networks.

InCoder: A Generative Model for Code Infilling and Synthesis LambdaNet: Probabilistic type inference using graph neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.576282Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3efa8e46-b716-435c-a173-376385597498 · outbound

This paper cites A Systematic Evaluation of Large Language Models of Code.

InCoder: A Generative Model for Code Infilling and Synthesis A Systematic Evaluation of Large Language Models of Code

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.560438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a470b743-6059-4b24-8263-5f8df058f671 · outbound

This paper cites We only include repositories with one of the above permissive licenses.

InCoder: A Generative Model for Code Infilling and Synthesis We only include repositories with one of the above permissive licenses

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.586162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fddb8ecb-1a15-4306-a91f-039d53506a13 · outbound

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InCoder: A Generative Model for Code Infilling and Synthesis Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-16T02:21:20.588954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d9f763b-7710-489e-b19a-8f9436e55f35 · outbound

This paper cites We perform one epoch on the training data, using each training document exactly once.

InCoder: A Generative Model for Code Infilling and Synthesis We perform one epoch on the training data, using each training document exactly once

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.591858Z

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Observation 255cf69c-2280-4d12-b01c-8183f3542179 · outbound

This paper cites For our learning rate scheduler, we use the built-in polynomial decay learning rate scheduler available in Paszke et al.

InCoder: A Generative Model for Code Infilling and Synthesis For our learning rate scheduler, we use the built-in polynomial decay learning rate scheduler available in Paszke et al

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.594530Z

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Observation 19822ee0-79aa-4279-97fc-1ead2dc0185b · outbound

This paper cites We use PLBART-Large (Ahmad et al., 2021), an encoder-decoder model trained on code (including 220GB of Python) using a BART (Lewis et al.

InCoder: A Generative Model for Code Infilling and Synthesis We use PLBART-Large (Ahmad et al., 2021), an encoder-decoder model trained on code (including 220GB of Python) using a BART (Lewis et al

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.597791Z

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Observation e61cb341-30a9-427b-842f-b0ef4914f5c8 · outbound

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InCoder: A Generative Model for Code Infilling and Synthesis Unresolved cited work

Reference 32

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Observation 29ca78f9-d41c-47ae-a77a-8737cdf6d1a4 · outbound

This paper cites We evaluate our I NCODER -6.7B model in zero-shot evaluation on both of these benchmarks.

InCoder: A Generative Model for Code Infilling and Synthesis We evaluate our I NCODER -6.7B model in zero-shot evaluation on both of these benchmarks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.602504Z

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InCoder: A Generative Model for Code Infilling and Synthesis Unresolved cited work

Reference 34

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Observation 24f7322d-9722-4229-a424-dea8bfacd5e7 · outbound

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InCoder: A Generative Model for Code Infilling and Synthesis Unresolved cited work

Reference 35

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This paper cites Permissive.

InCoder: A Generative Model for Code Infilling and Synthesis Permissive

Reference 36

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InCoder: A Generative Model for Code Infilling and Synthesis Unresolved cited work

Reference 37

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This paper cites ""Count the number of occurrences of each word in the file.

InCoder: A Generative Model for Code Infilling and Synthesis ""Count the number of occurrences of each word in the file

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T02:21:20.583335Z

Source-reported events for the cited work

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Pith citing papers

Observation 35fc1018-0f41-45f9-8b42-01081b35850f · inbound

CodeT: Code Generation with Generated Tests cites this paper.

CodeT: Code Generation with Generated Tests InCoder: A Generative Model for Code Infilling and Synthesis

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

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Observation 92bea32e-8d6b-425d-834f-27e4f212b153 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle InCoder: A Generative Model for Code Infilling and Synthesis

Reference 62

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Observation f89d7289-a51c-40f2-b6d0-64110bf635f1 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle InCoder: A Generative Model for Code Infilling and Synthesis

Reference 111

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:40:41.906000Z

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Observation aed0b1ac-e01a-4a4f-8dd3-fcec609469a7 · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model InCoder: A Generative Model for Code Infilling and Synthesis

Reference 232

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Observation 2bb54ffa-f719-41f9-9433-d9ca6fe68275 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling InCoder: A Generative Model for Code Infilling and Synthesis

Reference 176

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Observation 2775c43a-6f24-4824-84e7-49fef1e63db1 · inbound

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

StarCoder: may the source be with you! InCoder: A Generative Model for Code Infilling and Synthesis

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

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Observation 0fa7b9b8-10e9-4c9f-9154-b06420acd6c0 · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:26:57.522806Z

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Observation e7b81d07-8ded-4868-9fb4-b8d4068c74db · inbound

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems cites this paper.

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems InCoder: A Generative Model for Code Infilling and Synthesis

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

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Observation b1e8bd8d-4257-42cc-89e8-b417ea28be49 · inbound

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

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.606144Z

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Observation c42175eb-6e1a-495d-a2f5-22e31d72efa8 · inbound

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

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

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Observation dd2ddb0a-6747-425d-a22f-fc4f693132a1 · inbound

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

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology InCoder: A Generative Model for Code Infilling and Synthesis

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:58:51.416870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cfba1ad1-0a03-4bc0-adb7-f8195fbe51ec · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code InCoder: A Generative Model for Code Infilling and Synthesis

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc01cf5a-1075-450f-ba05-db2d6942183d · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2521d7bc-44fb-4426-a9e5-30dffd047179 · inbound

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG cites this paper.

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG InCoder: A Generative Model for Code Infilling and Synthesis

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-23T01:42:23.227657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d253d973-85cf-4ae4-9af6-32510839fc5b · inbound

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors cites this paper.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.738567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b63a5f23-dcf4-463d-b0fe-b0b5caa26454 · inbound

MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation cites this paper.

MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:49:36.961061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d05c2e-088b-49ab-85d1-50a93d39de45 · inbound

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought cites this paper.

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought InCoder: A Generative Model for Code Infilling and Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:27.192582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd64e21-ec93-489f-b1d9-1af447d7de4a · inbound

SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks cites this paper.

SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks InCoder: A Generative Model for Code Infilling and Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:28:01.851254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95809443-76ae-4595-a8b3-2e20ee13fe0e · inbound

On the Fitness Landscape in the $NK$ Model cites this paper.

On the Fitness Landscape in the $NK$ Model InCoder: A Generative Model for Code Infilling and Synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:52.996998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80388e5b-3ee7-468b-80f0-c65b9a11abe2 · inbound

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation cites this paper.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:08.945469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8867969-fbe8-46bd-9913-7294da35719b · inbound

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories cites this paper.

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:56:08.510864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e42f8e8-e740-465a-b486-4da5c68baac7 · inbound

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks cites this paper.

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks InCoder: A Generative Model for Code Infilling and Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T13:00:06.268934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8734919-5ff3-4177-a000-eb75508ac776 · inbound

DPO-F+: Aligning Code Repair Feedback with Developers' Preferences cites this paper.

DPO-F+: Aligning Code Repair Feedback with Developers' Preferences InCoder: A Generative Model for Code Infilling and Synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T00:30:39.621637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce3eb26-e42b-4b20-9123-e203cba26c0e · inbound

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair cites this paper.

From Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program Repair InCoder: A Generative Model for Code Infilling and Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:12:58.298428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88c2fcc-f9f1-4af7-b182-1d68e5d3e8f5 · inbound

LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation cites this paper.

LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T20:07:12.345875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab6f5ad-8db9-42a6-90d3-456bee2f9d59 · inbound

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing cites this paper.

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing InCoder: A Generative Model for Code Infilling and Synthesis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ccaf3b11-3a99-49de-8eaf-7f967486c6d6 · inbound

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development cites this paper.

EcoAssist: Embedding Sustainability into AI-Assisted Frontend Development InCoder: A Generative Model for Code Infilling and Synthesis

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e9d7381-0586-4a8c-9d71-5d0a9c920f7f · inbound

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor cites this paper.

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor InCoder: A Generative Model for Code Infilling and Synthesis

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 58316aad-1525-484c-ab75-56323b3f5329 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review InCoder: A Generative Model for Code Infilling and Synthesis

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9a12bbf6-2437-4438-8cc9-f111b41d5349 · inbound

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization cites this paper.

SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization InCoder: A Generative Model for Code Infilling and Synthesis

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a947c6da-7a82-4f77-be90-5a92459450dc · inbound

Towards Better Static Code Analysis Reports: Sentence Transformer-based Filtering of Non-Actionable Alerts cites this paper.

Towards Better Static Code Analysis Reports: Sentence Transformer-based Filtering of Non-Actionable Alerts InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 866c5263-48db-45ce-bc42-7914e4f5105e · inbound

ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs cites this paper.

ClozeMaster: Fuzzing Rust Compiler by Harnessing LLMs for Infilling Masked Real Programs InCoder: A Generative Model for Code Infilling and Synthesis

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b432023-808a-455e-8579-c5f3c2810ae5 · inbound

Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation cites this paper.

Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6fc5637-8165-495d-bd25-9234c04b8ccc · inbound

MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation cites this paper.

MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:21:20.606144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b957df4-330d-45c3-925b-179c2210bd37 · inbound

Prompt Optimization for LLM Code Generation via Reinforcement Learning cites this paper.

Prompt Optimization for LLM Code Generation via Reinforcement Learning InCoder: A Generative Model for Code Infilling and Synthesis

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T08:53:10.341499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2fce3314-36b4-4e47-a22a-e24a1a2bad7f · inbound

Echo: Learning from Experience Data via User-Driven Refinement cites this paper.

Echo: Learning from Experience Data via User-Driven Refinement InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:41:10.772913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c04c909e-aa6e-4d1e-a030-64a3821cfcb2 · inbound

Hide to Guide: Learning via Semantic Masking cites this paper.

Hide to Guide: Learning via Semantic Masking InCoder: A Generative Model for Code Infilling and Synthesis

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:24:40.002836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 31504993-5d57-4ca3-a7f5-fb051ecf3d71 · inbound

Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation cites this paper.

Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T11:42:04.433029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d88b05b5-2182-44cc-a1ed-f15cfd6d4147 · inbound

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs cites this paper.

Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs InCoder: A Generative Model for Code Infilling and Synthesis

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.722390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7b3ccc91-6a2e-4bd4-aadf-1972894ece12 · inbound

CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation cites this paper.

CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:29:41.823922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b4645939-b944-485e-9a44-f72731931aab · inbound

Rethinking Code Performance Benchmarks for LLMs cites this paper.

Rethinking Code Performance Benchmarks for LLMs InCoder: A Generative Model for Code Infilling and Synthesis

Reference 78

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T05:26:02.096721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2403d0aa-0a72-42fc-90d7-cc322a805fec · inbound

ExecuGraph: A Multi-Agent, Execution-Grounded Framework for Reliable Backend Code Synthesis with Large Language Models cites this paper.

ExecuGraph: A Multi-Agent, Execution-Grounded Framework for Reliable Backend Code Synthesis with Large Language Models InCoder: A Generative Model for Code Infilling and Synthesis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T10:52:01.592271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bdd643-8b99-4c79-9ee7-1183553d2484 · inbound

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization cites this paper.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization InCoder: A Generative Model for Code Infilling and Synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:45.938820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c02d2a-ae93-45ea-b9f9-135f178b9dc9 · inbound

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering InCoder: A Generative Model for Code Infilling and Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T09:21:22.830035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.