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Paper Citation Record · LEDGER

Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10444.

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

pith.paper-citation-record.v1
2401.10444 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:25:18.957785Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:48:11.679577Z

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 14bd26ec-e091-498f-b975-19ce1229ae6c · inbound

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents cites this paper.

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:25:18.957785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:18.957785Z digest=sha256:7588baefa233118328c17eb45a8fc4d8b2f217bd24f11efa64621d49740926e1

Observation 7acbe81a-8e3d-4b5a-92dc-fb83416f366d · inbound

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation cites this paper.

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:48:11.686963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T18:48:11.599074Z digest=sha256:32a0fb3d1d1867887253c3ee32415cb36e52dbe5c5bb59b64f699315cab28ece