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Paper Citation Record · LEDGER

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10548.

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

pith.paper-citation-record.v1
2402.10548 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:25.688741Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:28:33.260834Z

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 544cd016-452c-479a-b6e8-ef3b7aca7211 · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:25.688741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:25.688741Z digest=sha256:ef4c70eaa467d92ebb982b79c3aaa1c66f23a844b3f1990da4eb108f4155a599

Observation ab6a568d-65e0-4119-9953-e888e55f4e7c · inbound

PaSa: An LLM Agent for Comprehensive Academic Paper Search cites this paper.

PaSa: An LLM Agent for Comprehensive Academic Paper Search Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:28:33.271283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:28:32.792442Z digest=sha256:591152cd13b6d0d8898f17487bfaa7d6b8304bc19289f33ff0da33d5ac8b519b