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Paper Citation Record · LEDGER

Methods of Hierarchical Clustering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1105.0121.

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

pith.paper-citation-record.v1
1105.0121 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:03.131933Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:56:42.783036Z

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 d1674156-629d-4af9-9f73-e7dcc6888ff6 · inbound

ARIA: Training Language Agents with Intention-Driven Reward Aggregation cites this paper.

ARIA: Training Language Agents with Intention-Driven Reward Aggregation Methods of Hierarchical Clustering

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:03.131933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:03.131933Z digest=sha256:84aaadf8c5ce5815e25754f71c44f3dec146108f7c2a06f1d275f295095cf071

Observation cbf87c4c-5c85-4483-ad0a-49b945a91705 · inbound

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management cites this paper.

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management Methods of Hierarchical Clustering

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:56:42.788484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:56:42.747332Z digest=sha256:2c4df04a1579b76139a881009ac1515e28b0b066b858cfb2c0e7ff323200ea3e