Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.01893.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:59:11.365346Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:58:45.444338Z
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 e3f0d919-6313-43fe-a42c-985bdb14ffbe · inbound
Large Language Models Can Self-Improve in Long-context Reasoning cites this paper.
Large Language Models Can Self-Improve in Long-context Reasoning What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:59:11.365346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea7e90d-e60a-46e2-8252-c45e35584a4a · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:40:41.935260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 61c856cf-fade-4c56-9b87-389cf2c82872 · inbound
X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System cites this paper.
X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:22:05.615721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d13d6c75-9ae8-4833-ac72-a0244728f325 · inbound
AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.
AI4Research: A Survey of Artificial Intelligence for Scientific Research What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 126
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:45:12.310007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a5ea99-1889-4a13-bb6d-464055b90bee · inbound
A Survey of Context Engineering for Large Language Models cites this paper.
A Survey of Context Engineering for Large Language Models What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 164
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:45.446683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.