Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.14491.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:12.947220Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:42:47.476744Z
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 0691dff5-2c15-4e52-8dd7-fb51a2729c7c · inbound
A Survey of LLM $\times$ DATA Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 99
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09129784-ddc4-4900-8e7b-6dd509a19915 · inbound
Localizing Persona Representations in LLMs Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970e872e-43f5-4208-8d18-28c9c639f3b6 · inbound
Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1750ef90-b37e-47b8-aae6-84a7d3c63dfc · inbound
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e652c0d0-a0c1-44bc-9b72-edfcb66a5383 · inbound
Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ec71bfdf-bf7b-4515-a8d4-587a04b1b7f0 · inbound
How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification Instruction Pre-Training: Language Models are Supervised Multitask Learners
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.