Paper Citation Record · LEDGER

Synthetic Data RL: Task Definition Is All You Need

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.17063.

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

pith.paper-citation-record.v1
2505.17063 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:15.160284Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T20:56:13.361747Z

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 f1ed5885-b819-4dcc-9787-d2ae736e12dc · inbound

Routine: A Structural Planning Framework for LLM Agent System in Enterprise cites this paper.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Synthetic Data RL: Task Definition Is All You Need

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:15.160284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974982fd-1f54-4684-bc3f-518d10cee338 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Synthetic Data RL: Task Definition Is All You Need

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.858237Z

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 e9aff45a-0e39-4acf-9076-ba84fa7fa73c · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Synthetic Data RL: Task Definition Is All You Need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:29.655928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f9af066-a144-4ba4-a756-72dbbcdb5828 · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Synthetic Data RL: Task Definition Is All You Need

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:00:25.524260Z

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 c7db921e-29da-4d4f-9e56-27c6397a1989 · inbound

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning cites this paper.

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning Synthetic Data RL: Task Definition Is All You Need

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:28:05.665983Z

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 728190bc-6402-4fb4-b239-173e01d4fd5f · inbound

DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis cites this paper.

DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis Synthetic Data RL: Task Definition Is All You Need

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:41:17.485825Z

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 7b555c43-706d-459b-97ad-bbaefd98321b · inbound

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection cites this paper.

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection Synthetic Data RL: Task Definition Is All You Need

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.586800Z

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 362495bb-2095-4405-8ddb-1d7fca3075bc · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Synthetic Data RL: Task Definition Is All You Need

Reference 238

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.363404Z

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.