Pith. sign in

Paper Citation Record · LEDGER

Training language models to be warm and empathetic makes them less reliable and more sycophantic

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.

pith.paper-citation-record.v1
2507.21919 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:24:43.296659Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4cfee772-46d1-4f9a-9765-0dd72c65ded6 · inbound

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T22:24:43.296659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:24:43.296659Z digest=sha256:d499d55586bcdd5c5a437167b8977692390b545483e5f483a4ade8f46459cbc0

Observation 386b8470-7418-4a4d-b447-2cd877437f31 · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:40:43.350299Z

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.

source=pdf_text observed=2026-05-21T22:37:37.267715Z digest=sha256:63d9cea90b661caa88cdadb2418ea2d902c2b495b9ef71e085887665978be86e

Observation 0678f2cd-9d72-460f-b0a2-b67d5f525155 · inbound

From Fact to Judgment: Investigating the Impact of Task Framing on LLM Conviction in Dialogue Systems cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-04T06:48:36.762542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:48:36.762542Z digest=sha256:b6d43f7171a74786453bfeb905cd8a0d4ddc0de76e11bb16eed6c4b145b61768

Observation 4752da15-1d6b-4c50-a27f-a65a595337c9 · inbound

Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:59:35.133591Z

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.

source=pdf_text observed=2026-05-14T23:58:33.083233Z digest=sha256:d09abd044fb11bc20ab773a3784e1431b4f575630de395a44360a867c5f3b374

Observation bc4b2c06-547f-4f2a-9e45-8174c10dea42 · inbound

Anthropomorphism and Trust in Human-Large Language Model interactions cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:46:23.881202Z

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.

source=pdf_text observed=2026-05-15T17:41:35.364047Z digest=sha256:e1eaa1df05797567a7f4dc4c5ea48d0eaaea22fc64b36a34c67e942e35259aa2

Observation 3cb6f21e-c9a6-4474-81dd-0e60ff81509d · inbound

Evaluating the False Trust Engendered by LLM Explanations cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:25.726922Z

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.

source=pdf_text observed=2026-05-12T03:27:29.025166Z digest=sha256:b279b5a37af52fa5d23d3c76127ce6d13ea27f263acb2af478259e8169c919e5

Observation df56f9c9-1205-47f0-a665-6d78ec0639f4 · inbound

Evaluating the False Trust Engendered by LLM Explanations cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:53:47.132660Z

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.

source=pdf_text observed=2026-05-20T21:53:37.211145Z digest=sha256:6fdbf71dd0ddc6bb851279e9dc47a671424c8f62ae32dff769b6226d40419a20

Observation 79f9a07e-49cc-466e-a7ee-b70fb6f97a90 · inbound

What Do People Actually Want From AI? Mapping Preference Plurality cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:41:29.719586Z

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.

source=pdf_text observed=2026-06-28T01:32:04.660400Z digest=sha256:0298204efd5b5e271a70396afeb683a949a69d400370c2a0f8d2451ca1c4aa06

Observation bc0f54ee-d3be-48d0-b4b6-657ce80eff65 · inbound

A Scalable Approach to Evaluating Moral Sensitivity in LLMs cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-12T05:44:33.099337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T05:44:33.099337Z digest=sha256:b4cf2639daee286f32a04bfa5e237a9c06d2c8bc2b367fefdcd73cf33ca8240a

Observation 58c8329c-dab1-4597-9a46-e2093f08783e · inbound

AI Value Alignment for Evolving Social Norms cites this paper.

AI Value Alignment for Evolving Social Norms Training language models to be warm and empathetic makes them less reliable and more sycophantic

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T15:16:54.881268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:16:54.881268Z digest=sha256:7d338eca8b787d4d5b02cbd7b24c600de201f9427c1dfda1605e3d768bdc30e5