Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2507.21919.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:24:43.296659Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 4cfee772-46d1-4f9a-9765-0dd72c65ded6 · inbound
PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 386b8470-7418-4a4d-b447-2cd877437f31 · inbound
Measuring and mitigating overreliance to build human-compatible AI Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0678f2cd-9d72-460f-b0a2-b67d5f525155 · inbound
From Fact to Judgment: Investigating the Impact of Task Framing on LLM Conviction in Dialogue Systems Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4752da15-1d6b-4c50-a27f-a65a595337c9 · inbound
Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc4b2c06-547f-4f2a-9e45-8174c10dea42 · inbound
Anthropomorphism and Trust in Human-Large Language Model interactions Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3cb6f21e-c9a6-4474-81dd-0e60ff81509d · inbound
Evaluating the False Trust Engendered by LLM Explanations Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df56f9c9-1205-47f0-a665-6d78ec0639f4 · inbound
Evaluating the False Trust Engendered by LLM Explanations Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79f9a07e-49cc-466e-a7ee-b70fb6f97a90 · inbound
What Do People Actually Want From AI? Mapping Preference Plurality Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc0f54ee-d3be-48d0-b4b6-657ce80eff65 · inbound
A Scalable Approach to Evaluating Moral Sensitivity in LLMs Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 108
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58c8329c-dab1-4597-9a46-e2093f08783e · inbound
AI Value Alignment for Evolving Social Norms Training language models to be warm and empathetic makes them less reliable and more sycophantic
Reference 80
Source-reported events for the cited work
Unavailable: canonical work link unavailable.