Paper Citation Record · LEDGER

Deep Entity Matching with Pre-Trained Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.00584.

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

pith.paper-citation-record.v1
2004.00584 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:24.288833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:04.413552Z

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 a71f0417-5581-4522-8be1-1ff3fa36e542 · inbound

Freshness and Informativity Weighted Cognitive Extent and Its Correlation with Cumulative Citation Count cites this paper.

Freshness and Informativity Weighted Cognitive Extent and Its Correlation with Cumulative Citation Count Deep Entity Matching with Pre-Trained Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T22:21:45.987646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd89407-71e1-498d-9395-16719a86a09e · inbound

On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube cites this paper.

On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube Deep Entity Matching with Pre-Trained Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:19.092335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f30540a4-92a3-4e1b-97a8-5f432edfe678 · inbound

Leveraging Language Models for Automated Patient Record Linkage cites this paper.

Leveraging Language Models for Automated Patient Record Linkage Deep Entity Matching with Pre-Trained Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:24.288833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0680f07-1e4e-4484-8403-39706a12ec52 · 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 Deep Entity Matching with Pre-Trained Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:32.806490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da16c89-01fd-4d1a-9ef4-acdfbba91e80 · inbound

Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs cites this paper.

Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs Deep Entity Matching with Pre-Trained Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:17.678175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c80e730-64c7-4b09-8eeb-34c13831c824 · 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 Deep Entity Matching with Pre-Trained Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:33:59.209863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 926c2d14-35c0-4d96-ac48-dc0794d24bff · inbound

Entity Resolution via Batched Oracle Queries cites this paper.

Entity Resolution via Batched Oracle Queries Deep Entity Matching with Pre-Trained Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:10:04.416362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5c68c2c-40cc-4760-afeb-653779b5642c · inbound

Taxonomy Maintenance In The Wild Over Evolving Scholarly Data: Reliability, Efficiency, and Cost-Effectiveness cites this paper.

Taxonomy Maintenance In The Wild Over Evolving Scholarly Data: Reliability, Efficiency, and Cost-Effectiveness Deep Entity Matching with Pre-Trained Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T05:05:16.695782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.