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Paper Citation Record · LEDGER

Levels of AI Agents: from Rules to Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.06643.

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

pith.paper-citation-record.v1
2405.06643 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:27:02.478227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:16:15.889035Z

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 95e65151-e964-43c3-91c2-6e579888d075 · inbound

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems cites this paper.

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems Levels of AI Agents: from Rules to Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T11:27:02.478227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:27:02.478227Z digest=sha256:999c409f697f25e4d72cb21fea549a1063e4b9dd47fffa6c271394504efa0a0d

Observation b609d046-fa6b-4fd9-aa3a-2825aaeb5d84 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Levels of AI Agents: from Rules to Large Language Models

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:16:15.891910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:16:14.681132Z digest=sha256:b7a33fb66e7483487f7f465fc478a9fcc48e327d526eedb6e30ab0ec5f0b2c91