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Paper Citation Record · LEDGER

Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.10073.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.10073 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:42:08.001860Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:11:44.341857Z

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 a94f6ecf-61d4-4f27-8a5c-f3968e921b9b · inbound

A Survey on Human-Centric LLMs cites this paper.

A Survey on Human-Centric LLMs Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T16:42:08.001860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:42:08.001860Z digest=sha256:90cbcffaa037eeb3966d29923b5686d67680836a101fb16872d30285912e2a0a

Observation 1023b650-bb74-4b79-9ee6-b246b5448446 · inbound

Robot Character Generation and Adaptive Human-Robot Interaction with Personality Shaping cites this paper.

Robot Character Generation and Adaptive Human-Robot Interaction with Personality Shaping Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:00.559527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:00.559527Z digest=sha256:6c3fecae7b6e50728c28dcfc9e5c08b92ea65673c7ed8fe841372b2c057d30ba

Observation 68ebb27c-2156-474e-9ec1-9777c9ed5bcb · inbound

Emotion-o1: Adaptive Long Reasoning for Emotion Understanding in LLMs cites this paper.

Emotion-o1: Adaptive Long Reasoning for Emotion Understanding in LLMs Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:11:44.454390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:11:44.137076Z digest=sha256:57bf02dd44c9cbbd82288f837fc11edeb82de19baefd2f756d018e5f73d6f2ec