Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T21:37:28.871977Z
Paper Citation Record · LEDGER
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation
As of 27 July 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2604.21950.
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 2026-07-27T06:30:09.085275+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T03:45:55.620157Z
Reference resolution
16 of 16 outbound references displayed
- verified exact10
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eeaf6c0f-2425-4aa3-a9fd-1b14cf78e5e1 · outbound
This paper cites InProceedings of the Association for Computing Machinery on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation InProceedings of the Association for Computing Machinery on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.776654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 77b91d4e-2444-4753-abf6-d77ef3f2e278 · outbound
This paper cites Aflow: Automating agentic workflow generation.Interna- tional Conference on Learning Representations (ICLR).
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Aflow: Automating agentic workflow generation.Interna- tional Conference on Learning Representations (ICLR)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.789338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 671837c2-4330-4abd-a3f1-fa9270665479 · outbound
This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:07.890378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation bb2a4b08-5827-4f18-bef0-3d142cb07401 · outbound
This paper cites Controlled Self-Evolution for Algorithmic Code Optimization, February 2026.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Controlled Self-Evolution for Algorithmic Code Optimization, February 2026
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:07.805117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 562b5e7a-e3c1-4a9c-a1bd-78a73083dae8 · outbound
This paper cites Program Synthesis with Large Language Models.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Program Synthesis with Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:31:07.876067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a4c2da5a-a67f-424e-813a-97fbe72eee0f · outbound
This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:56:45.568475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f425f900-058d-4918-8108-8ff9f9ec285c · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Evaluating Large Language Models Trained on Code
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T14:31:07.919913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 82a37914-04a0-4533-b163-9e85753931c6 · outbound
This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:57:47.698794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 3bb498d0-8929-4cc2-ad25-11f7561b7aac · outbound
This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:07.900933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 35dd340d-c501-429b-8ee1-19853f73a2d7 · outbound
This paper cites Small models struggle to learn from strong reasoners.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Small models struggle to learn from strong reasoners
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.798644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation dc3a643a-575a-42f0-9e95-f2dfd9e78714 · outbound
This paper cites Ares: Adaptive red-teaming and end-to-end repair of policy-reward system.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Ares: Adaptive red-teaming and end-to-end repair of policy-reward system
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.793971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 844867c2-dcc3-40d0-b4f5-4d5346bedd6b · outbound
This paper cites Ea4llm: A gradient- free approach to large language model optimization via evolutionary algo- rithms.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Ea4llm: A gradient- free approach to large language model optimization via evolutionary algo- rithms
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:07.852095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6b48536a-3e6b-48b9-99c9-f2020747da9d · outbound
This paper cites Evolving neural networks through augmenting topologies.Evolutionary Computation, 10(2):99–127.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Evolving neural networks through augmenting topologies.Evolutionary Computation, 10(2):99–127
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.785054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 02ec18e8-41a9-4afb-a021-dd6d0b9d0b39 · outbound
This paper cites Mixture-of-agents enhances large language model capabilities.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation Mixture-of-agents enhances large language model capabilities
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T15:45:42.780989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7ae454ed-52a5-48fa-bf48-e6cc0759c8c4 · outbound
This paper cites AgentConductor : Topology evolution for multi-agent competition-level code generation.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation AgentConductor : Topology evolution for multi-agent competition-level code generation
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:31:07.910047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 01c7b596-d4b0-4516-9eff-d078e2acfb5f · outbound
This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.
Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:11:49.925109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Pith citing papers
Observation 76b3d871-8d98-4c49-803f-6374ed0157fa · inbound
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T03:45:55.621566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.