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Paper Citation Record · LEDGER

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.06770.

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

pith.paper-citation-record.v1
2306.06770 v4

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:22:36.453215Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:33:44.389633Z

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 c23f8c4f-fcbd-45c0-beb9-38d6fd62addf · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:33:44.391657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:fd516d073cd7749acd6043c8856002cde44abcb97d46d0324430d3ffb2ea5350

Observation 60a19afd-b43a-495a-b52a-07e43b513324 · inbound

Sparks of Science: Hypothesis Generation Using Structured Paper Data cites this paper.

Sparks of Science: Hypothesis Generation Using Structured Paper Data Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T12:22:36.453215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:22:36.453215Z digest=sha256:dc28c463375e1082150222777313f7eacfabf7356e4c06f4e60dfb395d16bf32