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Paper Citation Record · LEDGER

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.03487.

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

pith.paper-citation-record.v1
2508.03487 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:31:02.926612Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy11
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62ac2159-1770-444f-ba4a-e0943f1ce476 · outbound

This paper cites A survey of learning-based automated program repair,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice A survey of learning-based automated program repair,

Reference 1

Resolution
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no resolver link, observed 2026-08-06T04:30:58.524019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:58.524019Z digest=sha256:7bfd1c834a971e2253211ffeda56220e32a027b486bfafd33d4690e9b294c46f

Observation 82e9fe77-6b38-42a8-8c86-2f93d7768421 · outbound

This paper cites Shaping program repair space with existing patches and similar code,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Shaping program repair space with existing patches and similar code,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:58.644139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:58.644139Z digest=sha256:af08b69c1b40d930d5ce5a96633f8c0ebc059be00126395f216a050314eb69cd

Observation 67afca92-0991-4f6f-925e-4f2320a5d7c0 · outbound

This paper cites Crsearcher: Searching code database for repairing bugs,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Crsearcher: Searching code database for repairing bugs,

Reference 3

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T04:31:04.584654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:58.732747Z digest=sha256:5a7aaaffbcc067b41060b1fb5895db407ebbf6bbb0cb2675673aa1d3d0054b2d

Observation 7ff8170f-00b9-4358-823e-f1a4c03a8123 · outbound

This paper cites Automated program repair in the era of large pre-trained language models,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Automated program repair in the era of large pre-trained language models,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:06.963092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:58.820873Z digest=sha256:0697f463623937c303a192230e27570cf02848e905957e6c743947b9755cdb7e

Observation bfc61e77-944a-45cb-bf6d-0fdc3e64df27 · outbound

This paper cites Evaluating large language models in class-level code generation,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Evaluating large language models in class-level code generation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:06.712535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:58.884752Z digest=sha256:8492427d637412965a60ec0340a1da45d575893878f2246dd0bdbccdaab6f9a1

Observation 0a870b62-ad25-4035-8d45-8ce2e1c260a3 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Code Llama: Open Foundation Models for Code

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:58.941943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:58.941943Z digest=sha256:4b5740735a74d193b931eb983e994cb0ace1245f43e70368b7728c3fb98bb27f

Observation d81bab37-8a55-428e-a7a9-8fd7349ee96a · outbound

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

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:59.031321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:59.031321Z digest=sha256:91b99b614413b7a91320291f9d3e04310f016950ab1146ac8622cfb8b948e30a

Observation c84e6c0a-0336-452b-bc37-bc771964fc65 · outbound

This paper cites BitsAI-CR: Automated Code Review via LLM in Practice.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice BitsAI-CR: Automated Code Review via LLM in Practice

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:59.121028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:59.121028Z digest=sha256:57a27ca9d6aa437a04f45200bdd190cc4ef650855c077af57cfba055a589cac2

Observation 677142fc-f6ec-46be-a076-626bf0f6fad8 · outbound

This paper cites PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:31:04.310718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.170728Z digest=sha256:aca8c21a2645a38fb61100837a41ce2a98f483ae4a4f42102a5f85eb5fa7ca79

Observation f96cb88d-0263-4f47-9d08-29a43d205b09 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:59.257225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:59.257225Z digest=sha256:b8014a8bc293a2b606b2b460d58a0d751dbee1a0c2d992218f384fc484905972

Observation ea4852eb-35fc-4ea1-a215-5b40bdbce07c · outbound

This paper cites A unified debugging approach via llm-based multi-agent synergy,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice A unified debugging approach via llm-based multi-agent synergy,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:59.381894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:59.381894Z digest=sha256:02a5d173a39a3b793e5f75efb0d9e59640ee6d2c2b8f901ce832036fb6f98089

Observation c93d8680-73a3-4375-a1b4-40223809f488 · outbound

This paper cites Executable Code Actions Elicit Better LLM Agents.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Executable Code Actions Elicit Better LLM Agents

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T04:30:59.501248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:30:59.501248Z digest=sha256:04b7ca2e0a2d9e83d48438659a37ec96fb163e489d649ebaa5d9ae687b678c7c

Observation 4802f7ea-51e0-41bf-8513-905ce44882bb · outbound

This paper cites Fixing Function-Level Code Generation Errors for Foundation Large Language Models.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Fixing Function-Level Code Generation Errors for Foundation Large Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:31:04.030718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.571768Z digest=sha256:d898512f723d4eedf399b8292041f3c78cc89620c815fadadcf3a3829c525d5f

Observation f03461ab-c833-4588-b195-0c194446cd63 · outbound

This paper cites S3: syntax- and semantic-guided repair synthesis via programming by examples,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice S3: syntax- and semantic-guided repair synthesis via programming by examples,

Reference 14

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T04:31:03.801924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.642412Z digest=sha256:582d80390f559279351e3066385c1e883bf76282014038bfacd57db11d6ab8b2

Observation 4fabebac-4626-41b2-a9b6-99c1b91fc80a · outbound

This paper cites Enhancing automated program repair with deductive verification,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Enhancing automated program repair with deductive verification,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:06.396254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.724577Z digest=sha256:49bb32d81eb6693eca84db6686ad3b157dec7afd2c395fbd14322abde58ebc8f

Observation c4c87015-1ade-4d6c-9eca-fe2089c4f711 · outbound

This paper cites Automatic patch generation learned from human-written patches,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Automatic patch generation learned from human-written patches,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:06.205488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.821441Z digest=sha256:f6b3cf4d727cbb58e56ad542648ece6969521249f16bf0aab257f98f5059e4c0

Observation c5af992e-b233-470a-94f4-4e5bc19e8755 · outbound

This paper cites History driven program repair,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice History driven program repair,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:06.014811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:30:59.920187Z digest=sha256:e122b28c38ce612756e7a22206601529331cfa623ea58c65bb3d7c29ffd6554d

Observation a7f2239d-5054-4c25-abc3-b730dd76f2f0 · outbound

This paper cites Fixminer: Mining relevant fix patterns for automated program repair,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Fixminer: Mining relevant fix patterns for automated program repair,

Reference 18

Resolution
malformed identifier
no resolver link, observed 2026-08-06T04:31:00.116331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:00.116331Z digest=sha256:ada7a4f45749533e75515b66ed289e4a44bb7fc71687b150ce3b406b731bf9b0

Observation aff69a6a-9416-4e72-87ce-43350a5111c9 · outbound

This paper cites An empirical study on learning bug-fixing patches in the wild via neural machine translation,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice An empirical study on learning bug-fixing patches in the wild via neural machine translation,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:00.306498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:00.306498Z digest=sha256:77abcb802207edd0eb748b27670626f7c60c7cce70a84745d47d6ad908267b54

Observation d505feb2-b03f-4646-84ae-bb56216d0cf3 · outbound

This paper cites Sorting and transforming program repair ingredients via deep learning code similarities,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Sorting and transforming program repair ingredients via deep learning code similarities,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:05.727587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:00.448039Z digest=sha256:314d37a553233281d11d14cc2f8822ece876e20498023d5321a339a85296157a

Observation a625cabb-dddc-453b-b5ce-fc699c13a455 · outbound

This paper cites Dlfix: Context-based code trans- formation learning for automated program repair,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Dlfix: Context-based code trans- formation learning for automated program repair,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:05.516794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:00.582476Z digest=sha256:0234a4335c22bbd5f28af463ba1aca52e845b2a434b5cfa271b3e906a25b52dd

Observation 1198d5ed-2a51-41a3-ab90-b17817c1d72a · outbound

This paper cites Coconut: combining context-aware neural translation models using ensemble for program repair,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Coconut: combining context-aware neural translation models using ensemble for program repair,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:00.791135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:00.791135Z digest=sha256:7df4a83c8d9542962be3550f1cb5d63cf206c6b0978b24410b8f56a152e4e948

Observation 100877a6-0752-45ec-9898-127549c1e0b9 · outbound

This paper cites Automated program repair in the era of large pre-trained language models,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Automated program repair in the era of large pre-trained language models,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:00.911142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:00.911142Z digest=sha256:4407575752ef742f39684ed4d84fdb1e4c0db8b2d36ab36e003659961f59fa58

Observation 94a2430f-17a9-44c6-9608-52e00a8bc03f · outbound

This paper cites Pre-trained model-based automated software vulnerability repair: How far are we?.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Pre-trained model-based automated software vulnerability repair: How far are we?

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:05.284244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:01.070884Z digest=sha256:bc73c0e37e5ca967bea1cb9547f14acebc7143f1d017a0a34066e7b2c766b05e

Observation 791f8469-129d-4f29-a1f6-765f798b1773 · outbound

This paper cites How effective are neural networks for fixing security vulnerabilities,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice How effective are neural networks for fixing security vulnerabilities,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:01.231395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:01.231395Z digest=sha256:d2e374911b4381ce940e1c1697eef90ee5c8d8c45dd874ca130262bcf1a5da77

Observation 44580279-9325-4e96-bbdd-e005b9c4fef6 · outbound

This paper cites Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:05.210907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:01.375877Z digest=sha256:211c9ab4502b21fcae6f39a802cd49770a9ce04a403f3444e3675f3ad5fd12ec

Observation a951e560-a699-4025-ae78-b4ab2fb1675b · outbound

This paper cites Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:01.632200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:01.632200Z digest=sha256:8f95ec5d6073d3540c3a94ca5fb5cf2d16b0114ab4d12811539ce19247945cc0

Observation a786d35f-f1cc-486d-b970-014082c7f4f7 · outbound

This paper cites Compilable neural code generation with compiler feedback,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Compilable neural code generation with compiler feedback,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:04.978638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:01.703846Z digest=sha256:ffcd19bc3fb0728d87f33f60ca83ad5b5b233de53243077fa96f382d56b42133

Observation 1d7ba4df-15ae-416f-baeb-94ba70bf9c15 · outbound

This paper cites RLTF: Reinforcement Learning from Unit Test Feedback.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice RLTF: Reinforcement Learning from Unit Test Feedback

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:01.806003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:01.806003Z digest=sha256:f62fa226aab38dd571b1a3ddfb44037bbaa6fe449adb645cb847bf08d03f4cee

Observation e76dbb58-a9e8-448f-8f2f-a9d3e6a7594c · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues?.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice SWE-bench: Can language models resolve real-world github issues?

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:01.912158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:01.912158Z digest=sha256:cd7a9b0e4e6090b6f5f8f992763ba7953ca7c612c654ae8d64626a4c69c37846

Observation 4eddfe81-7e77-4dbd-b099-3d3e0270e55f · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.010513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.010513Z digest=sha256:9cefae5b7274d84395d9152dea84db1facb4ed8b93a37754f1563368911a3b91

Observation 7c175b95-654f-4b49-822e-c9e0e1b56f0c · outbound

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

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Agentless: Demystifying LLM-based Software Engineering Agents

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.085729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.085729Z digest=sha256:73d40f904310c4d3428b5d456513e8fbba8e296e99483efd69e7e486e7937d83

Observation df9af00b-9d3b-400d-84c1-81a7c495f70d · outbound

This paper cites kAgent: An execution-guided crash resolution agent for the Linux kernel.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice kAgent: An execution-guided crash resolution agent for the Linux kernel

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.221060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.221060Z digest=sha256:1ee7fe448bd71f17a1927bd865ca21de4959b7db544babc4a4ad26265f115d6c

Observation 7f6e2654-57c5-41b6-a19c-4b48ba1956f6 · outbound

This paper cites DR.FIX: Automatically Fixing Data Races at Industry Scale.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice DR.FIX: Automatically Fixing Data Races at Industry Scale

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:31:03.218107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:02.365684Z digest=sha256:e25d62b087ba2f9b247cdf92d8caaf3c6f15bb62d5f05f1b7bc11eb95744478c

Observation 5df76d5d-7b30-43b3-a243-70e57a3ab747 · outbound

This paper cites Migrating code at scale with llms at google,.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Migrating code at scale with llms at google,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:31:04.797327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:31:02.475656Z digest=sha256:7ba16e3f5febd3d36a1b4f8769ba693f3c0dd88293e1de53f2566ea92c98f746

Observation 046d7c17-57e1-4d52-adf3-76eddc2c1ff1 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.569267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.569267Z digest=sha256:babae46fed232c3f24feffbfa2d95b9eae3ad30e4b9ea9bbe86a832260913fd3

Observation b28b2421-ca21-42a6-bf21-25f0ad5f7b0f · outbound

This paper cites SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.675878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.675878Z digest=sha256:399cec7d45b8c2094aaebdbce5a3a3e2f00ebd7823e0085fef78ed57cdafdc6b

Observation d90b85bc-2760-4e2e-9c80-9711632261e5 · outbound

This paper cites Qwen2.5-Coder Technical Report.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Qwen2.5-Coder Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.814330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.814330Z digest=sha256:c0cae482be672d9f0d95a854227d346c0b88cb9faf2dae0566e117a0e9c23d10

Observation a51d2cd8-e44b-47e6-99dd-227fa529f3a8 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice HybridFlow: A Flexible and Efficient RLHF Framework

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:02.926612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:02.926612Z digest=sha256:fde4fdd3864294da4c1205665950e26e2629a1f10086e9e5a8ae7415caa1733a

Observation cf7f429b-b958-4a62-8dd1-c997cde43767 · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T04:31:01.515951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:31:01.515951Z digest=sha256:b00f6d648dd98c8c14fdaea577f305d115a52801215611344eb70fa17c74df91

Pith citing papers

No inbound Pith citation observations are available.