Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HonestLLM: Toward an Honest and Helpful Large Language Model
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00380.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:55:27.940835Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:43:25.862605Z
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 29372637-7bf9-41af-ba72-2f5882d249ac · inbound
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong cites this paper.
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:14:23.515618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2875207-9bb4-4b76-886a-dee3062f08f0 · inbound
Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback cites this paper.
Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:01:19.783692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 29a96d65-8728-4d35-83c8-c1ed1f269ee7 · inbound
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination cites this paper.
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T04:10:51.361483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 655adcfc-c0d0-4953-a244-ff9826036ecc · inbound
Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.
Emergent Social Intelligence Risks in Generative Multi-Agent Systems HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:48:00.866309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a5ec63fd-f489-446c-8a1f-ac74ed51c673 · inbound
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs cites this paper.
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:46:39.768346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a893ce94-1f76-4e3c-bcf5-54152b6efecd · inbound
Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information cites this paper.
Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:43:25.864138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16d09413-589f-41e7-b92f-5f73b0eabaa8 · inbound
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges HonestLLM: Toward an Honest and Helpful Large Language Model
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:55:27.940835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.