Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.00934.
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 2026-05-21T14:05:37.120262Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T14:10:13.530157Z
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 63471a50-68db-4b43-9256-62cde541a79b · inbound
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning cites this paper.
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T07:52:09.307226Z
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 5653751b-b50d-4246-aec2-17d7a6739f09 · inbound
SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models cites this paper.
SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.591261Z
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 355d3f0a-2be2-4bf8-83e9-a6914b4e4ea1 · inbound
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation cites this paper.
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T01:30:35.832619Z
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 4df037d2-7431-48e2-951e-3c40693ba311 · inbound
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:40:49.066354Z
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 6f5bf541-14e5-4ffd-8b3e-1a5725aef206 · inbound
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T14:10:13.533374Z
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.