Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2603.02637.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T01:12:04.486570Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 976771a4-57fc-4df7-b6dc-e5c030a340bb · inbound
AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization cites this paper.
AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:24:38.516909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 235bae92-f700-4db2-817b-92bb988de4ee · inbound
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
Reference 180
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:24:38.516909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5669c0af-8cb7-49aa-a27a-858a0e37ea35 · inbound
FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow cites this paper.
FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:24:38.516909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 054adb46-ee27-4073-9c2f-2c29557be663 · inbound
Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization cites this paper.
Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-08-11T03:24:38.516909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.