Paper Citation Record · LEDGER

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.14251.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.14251 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:31:41.202838Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.