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Paper Citation Record · LEDGER

A comparative analysis of embedding models for patent similarity

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.16630.

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

pith.paper-citation-record.v1
2403.16630 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:43:04.922619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:14:45.791749Z

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 e4655936-a91f-4dbb-98ac-cd22833ea964 · inbound

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph cites this paper.

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph A comparative analysis of embedding models for patent similarity

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:43:04.922619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:43:04.922619Z digest=sha256:87d6b431a798ac64023d85c5248eeffba5e837ef081835228062bb9384c9332d

Observation 9a49312b-b303-4be6-bcdd-1ec6f4c41156 · inbound

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering cites this paper.

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering A comparative analysis of embedding models for patent similarity

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:14:45.794759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T14:06:57.864207Z digest=sha256:7ca5fa3623e5e7ad11cdd72a747b5d3bed35f731e28bd59402b8fb5aa3c65475