Paper Citation Record · LEDGER

Self-Questioning Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2508.03682.

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

pith.paper-citation-record.v1
2508.03682 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:11:50.533353Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:58.316829Z

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 8c8d2f87-bfbc-4ea3-8334-e0f83cb25660 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Self-Questioning Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.079968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a084081-9947-4121-9bec-9dc3ad2cca4f · inbound

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards cites this paper.

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards Self-Questioning Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T21:09:21.389396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e37e46-4a44-4e0f-8c28-3a05763a3798 · inbound

Toward Training Superintelligent Software Agents through Self-Play SWE-RL cites this paper.

Toward Training Superintelligent Software Agents through Self-Play SWE-RL Self-Questioning Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:10:20.164340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2880e25e-a321-4959-935d-15a0d6ae23cf · inbound

Toward Training Superintelligent Software Agents through Self-Play SWE-RL cites this paper.

Toward Training Superintelligent Software Agents through Self-Play SWE-RL Self-Questioning Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:10.446107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32f2d2d-3250-43b9-bbf7-511323954271 · inbound

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning cites this paper.

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Self-Questioning Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:14:17.543228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0bfe9b8-82a5-4af8-9402-35c51397c8d1 · inbound

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning cites this paper.

RoboAgent: Chaining Basic Capabilities for Embodied Task Planning Self-Questioning Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:15:57.196201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43027edd-be8f-4a3b-b244-6388bd7b93de · inbound

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? cites this paper.

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? Self-Questioning Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:51.836351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f25e5f4-4669-4a97-8c08-dd1aa556969b · inbound

$\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data cites this paper.

$\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data Self-Questioning Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:45:27.860449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8182d35b-5aeb-4e97-86eb-d7dbbf51b48b · inbound

Scaling Self-Play with Self-Guidance cites this paper.

Scaling Self-Play with Self-Guidance Self-Questioning Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:31:05.615522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78b4d7ec-11b1-4f04-9e1e-47962ac8ffb8 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data Self-Questioning Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.942629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 021d189e-29a1-4fe7-a7c1-363e4ff8ef89 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data Self-Questioning Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:12.147781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4e726b3-3b80-4d03-850a-2e1b03df4772 · inbound

OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control cites this paper.

OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control Self-Questioning Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:36:26.975606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c7a8fe9-b9e9-46b2-a8a9-86342496dbc4 · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Self-Questioning Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.729939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9def4cfd-1b4e-4b59-b8a8-7b96f13bd77e · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Self-Questioning Language Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.517795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a761f4d1-1808-416b-b76b-3a7871294ac0 · inbound

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning cites this paper.

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning Self-Questioning Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:17:48.664019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa189e1b-2278-49a5-8765-59acbdebf8b3 · inbound

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning cites this paper.

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning Self-Questioning Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:32.785069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850dfe31-0c2a-4615-9b2b-24a655c05d08 · inbound

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning cites this paper.

From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning Self-Questioning Language Models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:58.318584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f606229-6c63-4d23-a099-918d50891d13 · inbound

Anchored Self-Play for Code Repair cites this paper.

Anchored Self-Play for Code Repair Self-Questioning Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T01:53:44.674517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2c36d90-5999-4462-809d-ca347e4bc748 · inbound

Ask-E: An Environment for Calibrated Question Generation cites this paper.

Ask-E: An Environment for Calibrated Question Generation Self-Questioning Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T18:11:50.533353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.