Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.14251.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:34.042803Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:44:55.048205Z
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 5b2ae959-aeac-4790-89b2-b20f5b5e47c5 · inbound
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Reference 242
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:18:34.042803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e02a6d4-3452-4977-ad1a-cfff003c0fe7 · inbound
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration cites this paper.
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:44:55.050576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7c6b97f1-7ab4-4ea4-a8dd-a689664860fa · inbound
CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis cites this paper.
CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:31:41.202838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03c7daca-f5c5-4d4a-a402-1e4723b0abf6 · inbound
FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline cites this paper.
FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:42:30.702891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6646d768-9f37-48cd-b5ad-056b7b7dc33b · inbound
Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection cites this paper.
Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:09:46.149772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.