Pith. sign in

Paper Citation Record · LEDGER

WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2312.14187.

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

pith.paper-citation-record.v1
2312.14187 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:51.759695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:26:04.780401Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bd874031-186f-4b6e-9701-bda3170c1350 · inbound

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering cites this paper.

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:45:35.510527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T12:45:34.286368Z digest=sha256:7bc41f43eeeb678220f9cec103628410ca37e16a6348c86cc2eb17a051229593

Observation 73db7a89-5d29-4835-95f3-7ebc80eee466 · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-12T18:28:49.439258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:28:49.439258Z digest=sha256:b36b999c613f52f182bb7f7f809d8e7a6ffab45f466092a4b79991f58824d7c5

Observation 970522a7-2442-442f-a5f6-a33b33443a17 · inbound

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues cites this paper.

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:56.327189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:56.327189Z digest=sha256:b2a480e171e9f4fbcec3b85630b2124c38035e59bfe486e213866559d00933ce

Observation 82505f19-b07f-4e1e-880f-592f3522b961 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-11T12:10:14.624921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:10:14.624921Z digest=sha256:e4bdf7abddf21e227d0a7fa236f17bfe9486a2db49abdd0faeaff4dece0dad2d

Observation 213ca611-061c-4588-a1fb-35235ef37cb8 · inbound

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark cites this paper.

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:56.393090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:36:56.393090Z digest=sha256:995af9de83f1485eb269355a9c59247db89e70eecba61973cb737c58b1556075

Observation daa18dec-5c62-4fda-99b7-3af3b2d310ce · inbound

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models cites this paper.

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T05:44:25.387466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:44:25.387466Z digest=sha256:9262b4a20504478ee7d40934db0b537559a8fbe884fd0093decd741b913e0960

Observation 80b6963d-9018-4db3-91fb-84dd0813fd0b · inbound

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback cites this paper.

ADC: Enhancing Function Calling Via Adversarial Datasets and Code Line-Level Feedback WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T05:16:04.950116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:16:04.950116Z digest=sha256:f4e39a0d3d0ec2325a407c94c307bebe6ca9fdedb34c0cf487393155b9a61802

Observation 996788f2-1d25-4d0f-a52a-495374cd6c9d · inbound

Multi-Agent Collaboration for Multilingual Code Instruction Tuning cites this paper.

Multi-Agent Collaboration for Multilingual Code Instruction Tuning WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T12:37:25.819503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:37:25.819503Z digest=sha256:ed36194af777fc6a9627866c99594e0b9a7730773fd671ebdbf0aa948bbff298

Observation 46f18e85-0daf-4bca-878e-b53498adfed9 · inbound

Data-efficient LLM Fine-tuning for Code Generation cites this paper.

Data-efficient LLM Fine-tuning for Code Generation WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:51.759695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:29:51.759695Z digest=sha256:89c8d2ab8dc928e2bcf44b1c5e5375871c51ee9d0cb32397affbb81688e9f426

Observation 051a203c-86fe-4860-8566-2120fffa26dd · inbound

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models cites this paper.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:04.849538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:04.849538Z digest=sha256:1c47bfab5692b1752dfc26e1f0a8ccc9a5a8f8ff0558bc72154b3089c1557a7c

Observation aa550ed7-92f5-4c22-8f44-50bed3ee3925 · inbound

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation cites this paper.

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:19.034292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:22:19.034292Z digest=sha256:74b8c29f6d8ce31a2860639935d3710f3c303f5b1eaad9a9eae05bee6d143f5f

Observation bdd496d1-7107-4883-9a8d-f564bff54525 · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:00.518113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:00.518113Z digest=sha256:1ff1f0c97c54f93d36c47b12c1cc9925f8824de5628bc95aa4c811e0ca136a44

Observation 7e5aa239-4bdd-461f-976c-ee8b1f02ecd7 · inbound

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.704352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:08.704352Z digest=sha256:504d7e804505a289edf0629465ccbfc7acb68524f669e5199867ebef99c17f5b

Observation 54cb2165-e84f-43cb-921b-d9c81cfc1d0c · inbound

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs cites this paper.

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:50:50.319517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:50:50.319517Z digest=sha256:878f7c1fa07354057bafaec18403a84f6de61ec2603817fdde19a62a79c8d530

Observation 9b693b4d-0478-4898-8651-a21d4f48dba9 · inbound

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback cites this paper.

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:42.694742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:42.694742Z digest=sha256:ed1c0f63ed782f38eeb707569adb72a8c12123a7fb76028a6bf196f7f4dee088

Observation 121ef725-0210-43a5-950e-a4c89aeddaa0 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:15.854064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:51:15.854064Z digest=sha256:e25e67c69249f76098028e2df2b400a0dc15e4a1171b8ef6f42412ccb6066265

Observation 8f29a7ea-cecd-4d38-b937-1b72fb680195 · inbound

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators cites this paper.

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:28.245399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:18:28.245399Z digest=sha256:84413842f2cf4c3b9fabeb64c6e1945db26c2dc65f32e1e5d474e4957e1ae952

Observation f8b70abb-46cb-43f0-9e43-d753864292c9 · inbound

SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs cites this paper.

SCoder: Iterative Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:12:31.413573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:12:31.413573Z digest=sha256:b4071819f3b478c6cecb5efb6f143dba3f10dda81245a3629c3991f96f8f3b2b

Observation 2d5de603-5729-4fa9-881f-36e3c372aab2 · inbound

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

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:04.782056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:b8ef601f5acdc3440aa52f8efbb8ee6c38abacd34c5d7f38660e72b5b19269e6