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Paper Citation Record · LEDGER

Towards Uncovering How Large Language Model Works: An Explainability Perspective

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10688.

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

pith.paper-citation-record.v1
2402.10688 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:37:39.536209Z

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

8
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 4dd78202-aec5-4174-bc0f-372d67e52f14 · inbound

Generating a Low-code Complete Workflow via Task Decomposition and RAG cites this paper.

Generating a Low-code Complete Workflow via Task Decomposition and RAG Towards Uncovering How Large Language Model Works: An Explainability Perspective

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T05:37:39.536209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:37:39.536209Z digest=sha256:47cdb1abc5404b004dc16cbac08ee4220579a7e820ddec68ec478990e1d7746c

Observation dab36b73-48ce-4d5a-8023-676639e2287f · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine Towards Uncovering How Large Language Model Works: An Explainability Perspective

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-11T16:00:18.064662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:18.064662Z digest=sha256:388ae0c24e627150a22a6879e06b7989927f17b58ced35fe07be9615bdf3ef90

Observation 1b91e93f-4494-499f-a722-e64a6a5255c3 · inbound

Multi-agent Self-triage System with Medical Flowcharts cites this paper.

Multi-agent Self-triage System with Medical Flowcharts Towards Uncovering How Large Language Model Works: An Explainability Perspective

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:55:19.756794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T21:53:47.777529Z digest=sha256:33f295c6eee62a8e404addfeec36f3e89b154f64ede90977dcff94184760bf2b

Observation 3976a617-3b7f-4f90-98c3-2898e17b1f15 · inbound

Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy cites this paper.

Mechanistic Interpretability of Cognitive Complexity in LLMs via Linear Probing using Bloom's Taxonomy Towards Uncovering How Large Language Model Works: An Explainability Perspective

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T22:20:54.232552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:20:54.232552Z digest=sha256:1b8e42b32d42d6eee64bc43e3667eb5ffd28f7b912ff4428f7946631d90d170d

Observation adb5f891-2a64-4d3e-8faf-0cab685e05dc · inbound

Mechanistic Interpretability Tool for AI Weather Models cites this paper.

Mechanistic Interpretability Tool for AI Weather Models Towards Uncovering How Large Language Model Works: An Explainability Perspective

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.543275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T23:03:10.147939Z digest=sha256:e19ce62124e54bb0d4933983473505bfc8d92155d5d1fa85a10bf3d3a350b907