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Paper Citation Record · LEDGER

Selective Prompting Tuning for Personalized Conversations with LLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.18187.

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

pith.paper-citation-record.v1
2406.18187 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:28.648037Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:48:04.531908Z

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 08e0c0bd-98c0-40a9-b159-83910448e981 · inbound

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy cites this paper.

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy Selective Prompting Tuning for Personalized Conversations with LLMs

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:28.648037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:28.648037Z digest=sha256:699ce5e9bebdbdf2933b61a10a51dcd39dafcd5378d4c9b00346c42ad6a630b6

Observation a21e19ce-849d-4c5d-bdf2-164c6c18f538 · inbound

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics cites this paper.

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics Selective Prompting Tuning for Personalized Conversations with LLMs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T14:21:53.097845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:21:53.097845Z digest=sha256:1448db4a980c51583263eebcbde5eabe38d5a960afbcbd3b777c53f8cc5159ff

Observation 4c219662-7f7f-4ad4-9af4-8dcce2280bc9 · inbound

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems cites this paper.

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems Selective Prompting Tuning for Personalized Conversations with LLMs

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:49:48.977177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T00:43:13.092598Z digest=sha256:3b0ce37b38e6e7e506545a8ce7ed80c1b11f4e052b4fca2c8df9da478a6b7ecb

Observation 930268ed-a503-4b79-b95d-3c6eaad8c5e9 · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Selective Prompting Tuning for Personalized Conversations with LLMs

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.534125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T05:45:02.563352Z digest=sha256:31738a74f1c749d09362d483cdfb6de118ce6c3a867455f766b62e334e545587