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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:49.439258Z

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T12:45:34.286368Z digest=sha256:8bf208d91fa20dac890630c1b9aad087a9077a37cc1894252c803c3fae291d36

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=sha256:1326a18f5287ac3065b9151c73e6e9e8076a97483538b66a0ae348b83df97706

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=sha256:2012d97a4bce724de36225c6c3bad4966cf59960f1268fd9cebd665aa92b9f0d

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:c6c5c4f5d2a01e88219554a848b47e01f0a24e8aeabe4289c2bb8a9350a59828

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=sha256:3bf2236e6afbfb2503169bc08384fd824dad02739b8003ff1867210f70a49265

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:a7835dba6ecb291211f75a8d60a476fe6e8a3b70b52dd2d2dda61041fbc0ec3a

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=sha256:7185d1e2a8784e601fd8c7edbfb357bdd874acc02bfc0cf06d1df3a6fea84566

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=sha256:878ff332f6e5256b3ca1a02d5df1eedb87b7e27d54264947d1f50b63f7b2323c

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=sha256:0ef47adf61c5c86cd79c0f1fab95f7df99f39d3e3b4b6f9e270b6d61965f9b6f

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:e6b42b92128ea9a64dd9cfc7750e31bd8cd771733a0f7cc00c0dffa774b0a566

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:cc410fab8a0206ddf7c1ceb79e634d11c92456550364b66ad049bb37b52c3d59

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:f51a81e25a72e5045dd97d8e9e3618553a6ba42fc5bd3826c3ff192513d18056

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:c534c6782c3b10f5c1b82856cc72f55fa9ef2b594cb20272e75313800ca76305

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=sha256:21b6d6c282baafb408a56f87bc621eacb1de45195fcff31f42de74fb84e8f2ad

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:cac9b922e38dc6eb738ce50698888d647d2513ed248ac5d0f7a1cd875923fd98