Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.15495.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T00:25:05.443939Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T14:37:03.249565Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 890ce412-71a4-481c-9df1-802ba3eac1d4 · inbound
MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language Models TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 311788f4-fc26-473c-8f9d-75f2fc0e58d5 · inbound
Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ac3db9b8-6648-40f0-8b87-65646d0ba322 · inbound
When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a37d445-5a20-4989-8bb3-735b81527a6e · inbound
WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM Agents TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.