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Paper Citation Record · LEDGER

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

As of 21 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.00800.

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

pith.paper-citation-record.v1
2412.00800 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 2026-07-21T06:31:05.380196+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:54:05.683478Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:54:34.440547Z

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 25460c5d-9d3c-4e49-b126-334954d11087 · inbound

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression cites this paper.

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:28:34.035794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-16T21:25:47.615557Z digest=sha256:367a2fe05004a1bcc682e96f6c3139d29acbb6115efa6573710d91ea2a8d7e3a

Observation 605b29a7-85f7-44fe-bf69-7695a1c04804 · inbound

A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions cites this paper.

A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T09:54:34.442358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-30T09:54:05.683478Z digest=sha256:7338a0a100b34928916863a5fbf1fd740699c4a97edb96946e29fec091d0755f