Paper Citation Record · LEDGER

Scalable Maximal Frequent Episode Mining with Desbordante

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.03188.

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

pith.paper-citation-record.v1
2607.03188 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:15:22.153536Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact5
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 765f5089-eb65-447c-b0f7-636f801dff31 · outbound

This paper cites Abedjan, L.

Scalable Maximal Frequent Episode Mining with Desbordante Abedjan, L

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e32025-3b53-439a-8ead-d2bcc509a020 · outbound

This paper cites Desbordante: from benchmarking suite to high- performance science-intensive data profiler,.

Scalable Maximal Frequent Episode Mining with Desbordante Desbordante: from benchmarking suite to high- performance science-intensive data profiler,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25b9fa1-d768-4ca7-8e97-5a0668cd869d · outbound

This paper cites A survey of episode mining,.

Scalable Maximal Frequent Episode Mining with Desbordante A survey of episode mining,

Reference 3

Resolution: verified exact; doi, observed 2026-07-12T04:18:28.946021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 176f9de9-6f55-45a1-a1cf-2553108b369b · outbound

This paper cites Discovery of frequent episodes in event sequences,.

Scalable Maximal Frequent Episode Mining with Desbordante Discovery of frequent episodes in event sequences,

Reference 4

Resolution: verified exact; doi, observed 2026-07-12T04:18:28.950151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3269ace-b87d-4c68-9466-ccded33f67ac · outbound

This paper cites Discovering generalized episodes using minimal occurrences,.

Scalable Maximal Frequent Episode Mining with Desbordante Discovering generalized episodes using minimal occurrences,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41b1c05-d93d-4ac5-8e1c-709cd0dc92a9 · outbound

This paper cites Maxfem: Mining maximal frequent episodes in complex event sequences,.

Scalable Maximal Frequent Episode Mining with Desbordante Maxfem: Mining maximal frequent episodes in complex event sequences,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f8ff12-b98e-4429-9de7-11ae2c1706ee · outbound

This paper cites The spmf open-source data mining library ver- sion 2,.

Scalable Maximal Frequent Episode Mining with Desbordante The spmf open-source data mining library ver- sion 2,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4a790b-7e47-4b1b-9286-97b2244d48d3 · outbound

This paper cites Lightning fast matching dependency discovery with desbordante,.

Scalable Maximal Frequent Episode Mining with Desbordante Lightning fast matching dependency discovery with desbordante,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72bb538-1322-443b-af30-012fd2c9fbf7 · outbound

This paper cites Fast discovery of inclusion dependencies with desbordante,.

Scalable Maximal Frequent Episode Mining with Desbordante Fast discovery of inclusion dependencies with desbordante,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc78f462-ea98-4f36-b228-255ad8786fbe · outbound

This paper cites Order in desbordante: Techniques for efficient imple- mentation of order dependency discovery algorithms,.

Scalable Maximal Frequent Episode Mining with Desbordante Order in desbordante: Techniques for efficient imple- mentation of order dependency discovery algorithms,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc7568f-0662-4ae5-8af0-5e171a884a12 · outbound

This paper cites Des- bordante: a framework for exploring limits of dependency discovery algorithms,.

Scalable Maximal Frequent Episode Mining with Desbordante Des- bordante: a framework for exploring limits of dependency discovery algorithms,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6f4487-1578-4923-b668-13a74c4ea1a5 · outbound

This paper cites Efficient mining of frequent episodes from complex sequences,.

Scalable Maximal Frequent Episode Mining with Desbordante Efficient mining of frequent episodes from complex sequences,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe17f98-14a5-498c-be3f-faeca9691dcc · outbound

This paper cites Available: https://doi.org/10.1016/j.is.2007.07.003.

Scalable Maximal Frequent Episode Mining with Desbordante Available: https://doi.org/10.1016/j.is.2007.07.003

Reference 13

Resolution: verified exact; doi, observed 2026-07-12T04:18:28.934033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e95c7af4-8a6c-4aca-b386-73781bfcacd7 · outbound

This paper cites Large-scale frequent episode mining from complex event sequences with hierarchies,.

Scalable Maximal Frequent Episode Mining with Desbordante Large-scale frequent episode mining from complex event sequences with hierarchies,

Reference 14

Resolution: verified exact; doi, observed 2026-07-12T04:18:28.929388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b917082a-4944-4cb7-b8c1-24a30fedc41b · outbound

This paper cites Mcor-miner: Maximal co-occurrence nonoverlapping sequential rule mining,.

Scalable Maximal Frequent Episode Mining with Desbordante Mcor-miner: Maximal co-occurrence nonoverlapping sequential rule mining,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 096b19f1-7b2e-4da7-8576-fe03af7959b1 · outbound

This paper cites Available: https://doi.org/10.1109/TKDE.2023.3241213.

Scalable Maximal Frequent Episode Mining with Desbordante Available: https://doi.org/10.1109/TKDE.2023.3241213

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-12T04:18:28.941254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31190807-c10c-4325-b3cf-95716d84e118 · outbound

This paper cites Mining high average utility itemsets using artificial fish swarm algorithm with computed multiple minimum average utility thresholds,.

Scalable Maximal Frequent Episode Mining with Desbordante Mining high average utility itemsets using artificial fish swarm algorithm with computed multiple minimum average utility thresholds,

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-07-12T04:15:22.153536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.