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Paper Citation Record · LEDGER

Synthetic Data RL: Task Definition Is All You Need

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:07:29.655928Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:e00f8e1b171c7172e587d49f8dfb7c2cb7f28d771fe731b0f117b794cf68ffd2

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.

source=pdf_text observed=2026-08-04T16:07:29.655928Z digest=sha256:f4fd69799fd1f98d1d420a5c2e1ad5cfafb009f4098f374f0131a61345b86138

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:6ab90895cc41a3e55891518e92d45b8a543d578bd45811d331abc1e33d6a0e60

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T16:24:04.132572Z digest=sha256:47727fc7401867a0d9ec67649aa80a4a80a972563da7786b85c7893420229d5e

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T02:40:13.547881Z digest=sha256:f25797536901d7ff830431ec3a4cc440951c4d5fb85a279c84285c505eb670e0

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:26:03.073002Z digest=sha256:0776391ea45b8734c44c92b1e46b9c883b706b701d02cec3fce08ff0ca971682

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:08ba822223ada040bc04f4fd5e13e74645cbfcafd46fa4c8577a2a4ee8fcc66a