Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.04378.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:56.386550Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T10:21:03.328341Z
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 2c5bc38d-4ee2-48c6-b992-dabbb58dff82 · inbound
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models cites this paper.
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:09:56.386550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c84cc59-ee22-4a02-a768-fd7b8743d59b · inbound
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models cites this paper.
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:41:58.194293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f5c694a-0bfa-40ab-a890-dedbc3516b42 · inbound
Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation cites this paper.
Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:03.335856Z
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 ab661531-e4c5-497b-bed2-ea48d9c5fe24 · inbound
Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation cites this paper.
Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T22:04:56.445021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.