Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2504.04030.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:18:25.994910Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 5114ecfe-fb52-4e44-8466-be759840ff37 · inbound
AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baa35bcd-0c52-41a8-85fa-08b8d0f41694 · inbound
NVIDIA Nemotron 3: Efficient and Open Intelligence OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 146
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8316051-861b-4dcf-a6c8-52b676137502 · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa6aefeb-02bf-462d-9177-0c714affd228 · inbound
Robust Policy Optimization to Prevent Catastrophic Forgetting OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b03bbc1-ba20-4d30-b821-32e88e5efb3d · inbound
Yet Even Less Is Even Better For Agentic, Reasoning, and Coding LLMs OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c3373941-bd2d-4ad9-910b-324dc696c669 · inbound
DMax: Aggressive Parallel Decoding for dLLMs OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f9d0ae2f-014c-4052-8f73-2f37f5475b6e · inbound
DMax: Aggressive Parallel Decoding for dLLMs OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38fc9fbf-4a98-466c-8ec7-f2325af5656c · inbound
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50a37ed7-eed9-421c-861d-4b004b9c2bc6 · inbound
SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5bc92ad-ee08-4f21-9546-ef67792c1d72 · inbound
Subjective Code Preferences in Experts and Large Language Models OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation db3acef2-28ee-4e85-939f-981f5c37e986 · inbound
PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d35718cc-4719-4ccb-88b9-3b7cd3862511 · inbound
Grammar-Constrained Decoding Can Jailbreak LLMs into Generating Malicious Code OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f294068d-c7d5-4bac-8940-64061ec80329 · inbound
CODEBLOCK: Learning to Supervise Code at the Right Granularity OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 21429693-07b6-4bb0-8fa8-601b497a6285 · inbound
Self-CTRL: Self-Consistency Training with Reinforcement Learning OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f2cd127-bba2-4ff2-9545-9c174dd75a88 · inbound
Masked Language Flow Models OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eeb760af-1fa6-4b34-b7bd-508008d233cf · inbound
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ea2e034-07cd-4d37-b120-681d3dd472aa · inbound
AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3763eb7-31d1-48d1-a294-64f0373fbae2 · inbound
AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.