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Paper Citation Record · LEDGER

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2412.02274.

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

pith.paper-citation-record.v1
2412.02274 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:44:16.860861Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:35:54.586195Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:35:54.669806Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact6
  • verified fuzzy6
  • unresolved16
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2aba61a9-5f19-4bc6-a175-5ee1a6f18300 · outbound

This paper cites In: Proceedings of the 17th International Conference on Data Engineering, April 2-6, 2001, Heidel- berg, Germany, pp.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Proceedings of the 17th International Conference on Data Engineering, April 2-6, 2001, Heidel- berg, Germany, pp

Reference 1

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Observation d1f324be-90ee-43d9-95b1-45e50dafebed · outbound

This paper cites an unresolved cited work.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Unresolved cited work

Reference 2

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Observation 25962b10-b464-44ab-bf94-cc696b5ea129 · outbound

This paper cites Optimization Strategies for Parallel Computation of Skylines.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Optimization Strategies for Parallel Computation of Skylines

Reference 3

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Observation 6868617d-562c-4c9f-b951-545b88cf2085 · outbound

This paper cites In: Amer-Yahia, S., Christophides, V., Kementsietsidis, A., Garo- falakis, M.N., Idreos, S., Leroy, V.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Amer-Yahia, S., Christophides, V., Kementsietsidis, A., Garo- falakis, M.N., Idreos, S., Leroy, V

Reference 4

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a45ea1a3-ffa0-431a-8362-e38c3c81758e · outbound

This paper cites In: Wang, J.T.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Wang, J.T

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 75da4aa2-905b-4e4e-874b-af54319f8139 · outbound

This paper cites MIT Press (2009).

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples MIT Press (2009)

Reference 6

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2d1bd623-f1da-4cdd-b68d-d98da276fa13 · outbound

This paper cites https://data.world/ data-society/employee-compensation-in-sf.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples https://data.world/ data-society/employee-compensation-in-sf

Reference 7

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Observation ed93795f-f837-463d-ba03-372d0608c739 · outbound

This paper cites https://archive.ics.uci.edu/dataset/235/individual+household+electric+power+ consumption.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples https://archive.ics.uci.edu/dataset/235/individual+household+electric+power+ consumption

Reference 8

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Observation 6a615abe-a09e-4066-99aa-2a3d6939122d · outbound

This paper cites Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras

Reference 9

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Unavailable: canonical work link unavailable.

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Observation caff7b16-bde7-42ff-a714-8e5013388ee7 · outbound

This paper cites ACM Comput.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples ACM Comput

Reference 10

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Observation 1e186c76-0a8a-46dd-975c-f88595e556b0 · outbound

This paper cites an unresolved cited work.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Unresolved cited work

Reference 11

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Observation 56b3b8db-d2be-4149-803f-88b76423bd1e · outbound

This paper cites IEEE Trans.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples IEEE Trans

Reference 12

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This paper cites PVLDB 10(11), 1454–1465 (2017) https://doi.org/10.14778/3137628.3137653.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples PVLDB 10(11), 1454–1465 (2017) https://doi.org/10.14778/3137628.3137653

Reference 13

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Observation 259c3e3f-d760-4381-9ef7-de339165be64 · outbound

This paper cites In: Li, G., 15 Li, Z., Idreos, S., Srivastava, D.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Li, G., 15 Li, Z., Idreos, S., Srivastava, D

Reference 14

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Observation 86ac0eee-1e00-4ab0-bb96-cd96bf2af05b · outbound

This paper cites TODS 30(1), 41–82 (2005) https://doi.org/10.1145/1061318.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples TODS 30(1), 41–82 (2005) https://doi.org/10.1145/1061318

Reference 15

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Observation 055956dc-70b7-4209-bba0-d2dadd93ba02 · outbound

This paper cites ACM Trans.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples ACM Trans

Reference 16

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This paper cites In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pp.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pp

Reference 17

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Observation 1c0019a5-1a97-43d9-9836-3f5fec434f75 · outbound

This paper cites In: Bergamaschi, S., Noia, T.D., Maurino, A.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Bergamaschi, S., Noia, T.D., Maurino, A

Reference 18

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 71a222f0-842a-45fe-ab47-492917a11636 · outbound

This paper cites In: Amato, G., Gennaro, C., Oria, V., Radovanovic, M.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Amato, G., Gennaro, C., Oria, V., Radovanovic, M

Reference 19

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Observation a124c6c3-cb3a-4b06-bbf7-ae777e6f7806 · outbound

This paper cites In: Mecella, M., Amato, G., Gennaro, C.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Mecella, M., Amato, G., Gennaro, C

Reference 20

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This paper cites In: Mendelzon, A.O., Paredaens, J.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Mendelzon, A.O., Paredaens, J

Reference 21

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Observation 9ace1302-3636-49ad-b92b-66b7e6bcb81f · outbound

This paper cites IEEE Trans.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples IEEE Trans

Reference 22

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Observation 6c04b07f-cd1c-4f1a-8036-67a7e58236d7 · outbound

This paper cites In: Halevy, A.Y., Ives, Z.G., Doan, A.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Halevy, A.Y., Ives, Z.G., Doan, A

Reference 23

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Observation b54c19ae-65e4-44e0-b552-bd25151e9841 · outbound

This paper cites PVLDB 8(12), 1554– 1565 (2015).

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples PVLDB 8(12), 1554– 1565 (2015)

Reference 24

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Observation 9366615f-ead0-4628-86c2-b17b6733f171 · outbound

This paper cites In: 2009 International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2009, Higashi Hiroshima, Japan, 8-11 December 2009, pp.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: 2009 International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2009, Higashi Hiroshima, Japan, 8-11 December 2009, pp

Reference 25

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Observation ceb0a414-bcd1-4391-8830-ce458a499016 · outbound

This paper cites In: Chechik, S., Navarro, G., Rotenberg, E., Herman, G.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Chechik, S., Navarro, G., Rotenberg, E., Herman, G

Reference 26

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Observation fb1dc06d-fa48-4460-9ccb-1ceaf189954e · outbound

This paper cites Symmetry 16(12) (2024) https://doi.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Symmetry 16(12) (2024) https://doi

Reference 27

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Observation 8b3af7c5-6f1d-4fd1-8583-7e33f81bc209 · outbound

This paper cites ACM Comput.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples ACM Comput

Reference 28

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Observation 5999633a-a116-4519-9c2b-040474aea23c · outbound

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Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Unresolved cited work

Reference 29

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This paper cites In: Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011, pp.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011, pp

Reference 30

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Observation f6bcaadf-b350-4ba1-b39f-6a96f7d0e345 · outbound

This paper cites In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L

Reference 31

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Observation 4328faa4-f676-4840-9847-e11021074383 · outbound

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Parallelizing the Computation of Robustness for Measuring the Strength of Tuples Unresolved cited work

Reference 32

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Observation 2547e1bf-29e0-49f4-a24f-a8c2ec0e088e · outbound

This paper cites In: Desai, B.C., Sacc` a, D., Greco, S.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples In: Desai, B.C., Sacc` a, D., Greco, S

Reference 33

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Observation 6ff1edae-ac07-471c-adf8-863e0841f17b · outbound

This paper cites ACM Trans.

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples ACM Trans

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 1c762f16-31a6-49f4-9e0a-892343d9a3f4 · inbound

Computing the Non-Dominated Flexible Skyline in Vertically Distributed Datasets with No Random Access cites this paper.

Computing the Non-Dominated Flexible Skyline in Vertically Distributed Datasets with No Random Access Parallelizing the Computation of Robustness for Measuring the Strength of Tuples

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source=pdf_text observed=2026-08-11T11:35:54.586195Z digest=sha256:e3ccfe9b2a304a0558f5933f154001a3f4bef173dffe6dd6933ce00308dbd200