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Paper Citation Record · LEDGER

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.09796.

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

pith.paper-citation-record.v1
2412.09796 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:48:03.669188Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:15:38.689325Z

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 2164c6c6-fc2e-4091-9b6a-5f004888f8cd · inbound

PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs cites this paper.

PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs AutoPatent: A Multi-Agent Framework for Automatic Patent Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T11:48:03.669188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:48:03.669188Z digest=sha256:9b0627104f0d541eafebc8e6996ad4beb3033eda9daed9bff2e95e4f29cb2918

Observation 9e4cb2cb-520f-4267-bde6-2fc1f9b3462d · inbound

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval cites this paper.

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval AutoPatent: A Multi-Agent Framework for Automatic Patent Generation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:15:38.691025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:41:19.441055Z digest=sha256:9e4a500ef1ef2dd40f007de6c648dc5bf67698c7bea9b95517279d7ec57b4cc7