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Paper Citation Record · LEDGER

XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.06270.

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

pith.paper-citation-record.v1
2405.06270 v4

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:42.468514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:40:00.370772Z

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 71da7fab-ad33-40f4-97f8-de4a5797d7ab · inbound

DIGMAPPER: A Modular System for Automated Geologic Map Digitization cites this paper.

DIGMAPPER: A Modular System for Automated Geologic Map Digitization XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T23:50:42.468514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:50:42.468514Z digest=sha256:c875ed1a5411fcf062384fb404c1d9d9184cd3a5c58b4fea63e10dfaa1b2d334

Observation 694785fb-675d-4de8-b616-39277efad169 · inbound

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing cites this paper.

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:40:00.372533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T12:36:05.547383Z digest=sha256:3b62d093f1e2375b2402f8a6aeb8feaddd5efea2ed0ad4232898ccb4dd7d71fe