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Paper Citation Record · LEDGER

Parity Partition Coding for Sharp Multi-Label Classification

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:1908.09651.

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

pith.paper-citation-record.v1
1908.09651 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:35:08.918351Z

measured 22 of 22 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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9389059d-56ef-42fa-8748-92bc3466a523 · outbound

This paper cites Allwein, Robert E.

Parity Partition Coding for Sharp Multi-Label Classification Allwein, Robert E

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 8d578fa4-997b-46b0-9787-82b76aa10c24 · outbound

This paper cites Dietterich and Ghulum Bakiri.

Parity Partition Coding for Sharp Multi-Label Classification Dietterich and Ghulum Bakiri

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.276194Z

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 b73250b6-dc2b-4a03-91e8-270e2350103b · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.259065Z

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 102b0057-f040-43ed-9391-c38016134034 · outbound

This paper cites Ensemblemethodsinmachinelearning.

Parity Partition Coding for Sharp Multi-Label Classification Ensemblemethodsinmachinelearning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.242355Z

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 d6126aa1-17ff-4eee-8d65-e0798e948cfe · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.226501Z

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 9d5e04f7-4555-493c-86eb-11681910285a · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.211107Z

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 a2e1ae10-572f-45af-aec9-49b4e149b28b · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.195129Z

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.

source=pdf_text observed=2026-08-14T11:35:08.843317Z digest=sha256:23196a32698c0e53445fea93f82e9ba1974037e7bd065bb0f84e5b00385fadc4

Observation d4a7dcd5-fe28-4e1d-9ee2-e7656250d882 · outbound

This paper cites Ferdowsi and Voloshynovskiy.

Parity Partition Coding for Sharp Multi-Label Classification Ferdowsi and Voloshynovskiy

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.180087Z

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.

source=pdf_text observed=2026-08-14T11:35:08.847981Z digest=sha256:ceeb7304cbf666278beed72c9fabc32adfa3dd33e438c486d211102746877032

Observation 9100a0cb-9ea9-4b4d-836a-996d2e4a1ac7 · outbound

This paper cites Error-correcting output codes for multi-label emotion classification.Multimedia Tools and Applications, 75, 05 2016.

Parity Partition Coding for Sharp Multi-Label Classification Error-correcting output codes for multi-label emotion classification.Multimedia Tools and Applications, 75, 05 2016

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.164689Z

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.

source=pdf_text observed=2026-08-14T11:35:08.853015Z digest=sha256:9c2b1d07a36a76c95cdcbf1e11d4bf1e5ab95d0b7c0ba885e7fbd46084ffd74e

Observation 9f3831f4-d957-4cec-8b4d-189f33a5f55a · outbound

This paper cites Neural network ensembles.IEEE Trans.

Parity Partition Coding for Sharp Multi-Label Classification Neural network ensembles.IEEE Trans

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.149108Z

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.

source=pdf_text observed=2026-08-14T11:35:08.858160Z digest=sha256:9e3fb04405dad6d10a1ab4614abc8859448793eda07eb7f0e9ea4f6bdaeaa2dd

Observation 204f406d-4daf-40ba-b070-04f72603d7d5 · outbound

This paper cites Effectiveness of error correcting output codes in multiclass learning problems.

Parity Partition Coding for Sharp Multi-Label Classification Effectiveness of error correcting output codes in multiclass learning problems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.133744Z

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 f6e84210-c675-493a-a7f7-cee3d5974ca8 · outbound

This paper cites Multiclass learning, boosting, and error-correcting codes.

Parity Partition Coding for Sharp Multi-Label Classification Multiclass learning, boosting, and error-correcting codes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.117867Z

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.

source=pdf_text observed=2026-08-14T11:35:08.867997Z digest=sha256:f387f8874bfb1ded3e6dd0f0d25f9f6fcf808ed4cd8a97c1e0d144d76577287e

Observation 706717e6-90ba-44fb-87ad-af8ce7738103 · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.102370Z

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.

source=pdf_text observed=2026-08-14T11:35:08.874562Z digest=sha256:d2385e07099b9037cf9415828ffe8f8e8f51b3f7b2e5fb0291d9383b286f349d

Observation f4c13f85-b0aa-47c7-bb7e-4bee2918d170 · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.085585Z

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.

source=pdf_text observed=2026-08-14T11:35:08.879698Z digest=sha256:ca4383233fca23dc929aa8b6d0e4adc06a6773fb57d4a5027806a1d883ae23d1

Observation c9171de6-f7c3-4e2d-bb7a-1a95012d66ae · outbound

This paper cites David Forney, Jr.

Parity Partition Coding for Sharp Multi-Label Classification David Forney, Jr

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.067905Z

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.

source=pdf_text observed=2026-08-14T11:35:08.884777Z digest=sha256:65b9d965835d067bf35b2cdd313869e13f5f89778a50ccd7f055bd919af12d68

Observation 228c4713-a49c-4a0a-bffb-8de7dff671a1 · outbound

This paper cites Hassani, K.

Parity Partition Coding for Sharp Multi-Label Classification Hassani, K

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.051354Z

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 79d64f3b-3ce1-428f-a904-73b67f900952 · outbound

This paper cites an unresolved cited work.

Parity Partition Coding for Sharp Multi-Label Classification Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:35:09.034070Z

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 323a457f-c986-4b2e-83f3-b2eea97e36cd · outbound

This paper cites Are efficient deep representations learnable? ICLR 2018 Workshop Submission.

Parity Partition Coding for Sharp Multi-Label Classification Are efficient deep representations learnable? ICLR 2018 Workshop Submission

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:09.016363Z

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.

source=pdf_text observed=2026-08-14T11:35:08.898916Z digest=sha256:1d39af82de6b24f8007118a55a03400a3b7c2989fc240b6e324e3a45ed858e31

Observation a7d7f840-f0e1-42cb-af8f-aa1979cdf138 · outbound

This paper cites Piazza, A.

Parity Partition Coding for Sharp Multi-Label Classification Piazza, A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:35:08.997837Z

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.

source=pdf_text observed=2026-08-14T11:35:08.903939Z digest=sha256:44e148eb3dad2fe60582861911258feb83b25892118de376565570b9706a5ecc

Observation a3c3889e-edea-454b-be7e-bb6fc814f781 · outbound

This paper cites Bagging predictors.Machine Learning, 24:123–140, 1996.

Parity Partition Coding for Sharp Multi-Label Classification Bagging predictors.Machine Learning, 24:123–140, 1996

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T11:35:08.908571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:35:08.908571Z digest=sha256:3ad17da96ef37b5b76c6f0a75f40c54f6ec79558ba2c7093b0abd4e161d6c153

Observation 4d1714de-6072-487f-b3c4-aca467bc0940 · outbound

This paper cites Kingma and Jimmy Ba.

Parity Partition Coding for Sharp Multi-Label Classification Kingma and Jimmy Ba

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T11:35:08.913646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:35:08.913646Z digest=sha256:ca6909c3b873fe0a11120421778bd0454bcbfa1603a6fc66c1e545d39c4c6368

Observation 666fd2f2-0bd6-489c-bfb3-84feb866593f · outbound

This paper cites Multi-Task Learning as Multi-Objective Optimization.

Parity Partition Coding for Sharp Multi-Label Classification Multi-Task Learning as Multi-Objective Optimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:35:08.918351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.