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Paper Citation Record · LEDGER

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10153.

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

pith.paper-citation-record.v1
2402.10153 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:53.239072Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:31:27.612288Z

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 1b684123-7180-4f94-b481-f4b9bdc4b12e · inbound

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations cites this paper.

Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:31:27.618100Z

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.

source=pdf_text observed=2026-08-10T20:31:27.294233Z digest=sha256:7861bec023bfad7ecec7d5afc0abac24b4f8c77fef4fbe8ea07b3a052dce14c3

Observation bd1c7c2c-2f09-4e5d-bbad-3cf7b50db05a · inbound

Advancing and Benchmarking Personalized Tool Invocation for LLMs cites this paper.

Advancing and Benchmarking Personalized Tool Invocation for LLMs Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:53.239072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:45:53.239072Z digest=sha256:cb00d02585be1da7b825aad9aebd21efdf3f6036cec5f264b2e443762cc243a1