Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.19166.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:08.298896Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T18:01:25.413333Z
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 19afaf8c-9051-447a-b9c6-ea5ae718e98a · inbound
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios cites this paper.
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:56:08.298896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1774027-b0c4-4f17-81a5-df9a12cc59c7 · 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 CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:41.524744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91fbf4f3-bc65-4a21-9b17-133225b0a822 · inbound
Many-Tier Instruction Hierarchy in LLM Agents cites this paper.
Many-Tier Instruction Hierarchy in LLM Agents CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:16:01.793812Z
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.
Observation 4a8d45f8-4439-4ca5-8aa1-db77e172405b · inbound
Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models cites this paper.
Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.746338Z
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.
Observation c87b42ed-e615-44b9-b61c-8595abffd684 · inbound
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution cites this paper.
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:01:25.416546Z
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.