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Paper Citation Record · LEDGER

On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.03426.

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

pith.paper-citation-record.v1
2401.03426 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:29:46.707325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.508924Z

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 7dc8cfb1-8600-4698-9ac2-965bc863c44f · inbound

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution cites this paper.

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:59.191494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T21:29:46.707325Z digest=sha256:5b72a1443ee19e13896285e9273ff0e523479714441146f0b13fd42b4460a837

Observation 92441929-1653-4754-8c0f-0576d0e9710c · inbound

Identifying unique developers in OSS projects: A family of models cites this paper.

Identifying unique developers in OSS projects: A family of models On Leveraging Large Language Models for Enhancing Entity Resolution: A Cost-efficient Approach

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:37:25.510877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T19:36:00.157326Z digest=sha256:730c8cedc9561a39ae584f7e24fa6f0b5c8209a9e7f8de4cb7a51bd902c01911