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Paper Citation Record · LEDGER

Towards Efficient Discriminative Pattern Mining in Hybrid Domains

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.06801.

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

pith.paper-citation-record.v1
1908.06801 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:16:37.275508Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5334bf44-86a9-4f9e-a2a0-f4f1d52bdbd5 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation db9de39b-4742-49cb-a613-e46c402c7231 · outbound

This paper cites Data Mining and Knowl- edge Discovery 4, 217–240 (2000).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Data Mining and Knowl- edge Discovery 4, 217–240 (2000)

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 61acff00-e23a-45b2-8660-73c050d7bf16 · outbound

This paper cites IEEE Trans.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains IEEE Trans

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7b9899dc-68db-477b-baa0-ab26da4b3494 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2beafe1f-47f9-4fc9-b4e6-aeb1ad03cf96 · outbound

This paper cites (eds.): Contrast Data Mining: Concep ts, Algorithms, and Applications.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains (eds.): Contrast Data Mining: Concep ts, Algorithms, and Applications

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ac460e1e-e6b4-443b-bc84-3c4ee52d76ff · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7852e6c7-37ce-457e-a174-a297796adc8b · outbound

This paper cites Statistics and Computing 9, 123–143 (1999).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Statistics and Computing 9, 123–143 (1999)

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6fc7b52-0dc9-4cce-bbb3-74270d563f05 · outbound

This paper cites I n: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains I n: Proc

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3f443e3-e734-4186-9d87-13d347a30364 · outbound

This paper cites Springer (2012).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Springer (2012)

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fbc33ab0-2e89-4748-8f92-2f63a5f0276b · outbound

This paper cites an unresolved cited work.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f412dd0b-6104-4431-a2d5-8165ed880d37 · outbound

This paper cites Data Mining and Knowledge Discovery 19(2), 210–226 (2009).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Data Mining and Knowledge Discovery 19(2), 210–226 (2009)

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a5794e5-7efc-467f-833c-1e3cb23e0521 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 56e34fc8-d77e-42c4-bd7b-4a63512432d9 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4c0825f0-b9ae-41eb-83ad-7693ed678867 · outbound

This paper cites I n: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains I n: Proc

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0a0fd036-8f25-4382-9516-dd29e2077f34 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b7a96a9a-4545-4ebf-84bc-f8d5a53a4676 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc5c76da-8c2c-46b8-98a6-6bae08ae8f56 · outbound

This paper cites I n: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains I n: Proc

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d7b4fb1a-84fd-4628-bd5d-9742fb947042 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca1fca0a-2b66-4670-86bd-0404dfcd9f05 · outbound

This paper cites an unresolved cited work.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 57e7e6ee-78ea-46ca-b155-193f7498132b · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation af824eb8-c0fe-4a79-9d04-787fef8141d1 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b726a87e-2d05-4265-a68f-f358d736f380 · outbound

This paper cites In: Knowledge Discovery in Databas es, pp.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Knowledge Discovery in Databas es, pp

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 372842d2-a681-43d3-bc60-c9822929fc7d · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation db19a9c8-559d-4cf9-ab09-176731958989 · outbound

This paper cites Knowledge Engineering Review 22(1), 37–65 (2007).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Knowledge Engineering Review 22(1), 37–65 (2007)

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 767a106e-5b91-426c-a89a-1139c2c88196 · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a944abad-cb68-4227-8d3d-101d053e152c · outbound

This paper cites In: Proc.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains In: Proc

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 29a64ba5-35c3-4a6b-a7b2-7e85eb5ec758 · outbound

This paper cites an unresolved cited work.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:16:37.338774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c5894e04-f660-4dfe-bb04-7cc6fda4f513 · outbound

This paper cites Machine L earning 68, 1–33 (2007).

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Machine L earning 68, 1–33 (2007)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:16:37.328379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dd80f8f0-cfd8-42d2-8a8d-859d6ccb5aab · outbound

This paper cites Morgan Kaufmann, 2nd edn.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Morgan Kaufmann, 2nd edn

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:16:37.317798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 912dbcbf-6e35-4b71-ade0-5684188bee37 · outbound

This paper cites Machine Learning 77, 125–15 9 (2009) 8 T able 2.Discriminative patterns mined by the proposed algorithm fr om the german credit dataset.

Towards Efficient Discriminative Pattern Mining in Hybrid Domains Machine Learning 77, 125–15 9 (2009) 8 T able 2.Discriminative patterns mined by the proposed algorithm fr om the german credit dataset

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:16:37.306571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.