Pith. sign in

Paper Citation Record · LEDGER

Leveraging Large Language Models for Entity Matching

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20624.

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

pith.paper-citation-record.v1
2405.20624 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:21:32.759228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.506336Z

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 e44b4095-6b73-446b-91fa-9dc6e816af68 · inbound

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification cites this paper.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Leveraging Large Language Models for Entity Matching

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:32.759228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:21:32.759228Z digest=sha256:9207450a2fb054179a8f18d52e11e6cca3de2966cabfe8dc7360183f78970a06

Observation eb863da3-cb36-4d1e-b9af-eaa63eebc749 · inbound

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

Identifying unique developers in OSS projects: A family of models Leveraging Large Language Models for Entity Matching

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:37:25.507794Z

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=sha256:7e40197611c258026c5f320d5cf6d0c4b13dfd206c9bfa38fe72e47e9453d2b7