Paper Citation Record · LEDGER

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices

As of 9 August 2026, this Paper Citation Record lists 100 of 194 outbound references and 2 inbound Pith citation observations for arXiv:2506.04553.

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

pith.paper-citation-record.v1
2506.04553 v1

Coverage vector

measured 100 of 194 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:04.799611Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T14:22:39.302334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:24:44.901120Z

Reference resolution

100 of 194 outbound references displayed

verified exact2
verified fuzzy0
unresolved98
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8931f555-f140-4ab6-bf0c-39902db12f0d · outbound

This paper cites Alam and N.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Alam and N

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.513522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90102514-b4fd-496f-8b56-f77453e22232 · outbound

This paper cites Allen, L.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Allen, L

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.516996Z

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Observation b84d1b78-65fb-4547-bcf3-3d2d5dbea617 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.520337Z

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Observation dcfe1b8e-1901-48b4-b966-2966cf2e642a · outbound

This paper cites Anders, C.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Anders, C

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.523349Z

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Observation 38532eb3-556d-4d6a-8547-81881304bafd · outbound

This paper cites Anders, P.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Anders, P

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.526320Z

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Observation 45f30b75-6cfe-44f5-9e36-2b534ef9baa4 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.529352Z

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Observation a5e2cb09-1507-48ce-b2b6-73b4802d99a1 · outbound

This paper cites Armstrong, G.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Armstrong, G

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.532809Z

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Observation fc336b91-b4b3-4f32-8e77-d6fe8759586b · outbound

This paper cites Arnold, L.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Arnold, L

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.535451Z

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Observation 48188800-40be-4b95-aa84-1ce924212fa6 · outbound

This paper cites Arthur and S.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Arthur and S

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.538346Z

Source-reported events for the cited work

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Observation 144765bc-1972-421a-9994-27e7e87574bd · outbound

This paper cites Ashtari, R.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Ashtari, R

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.541266Z

Source-reported events for the cited work

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Observation c11ade71-b9eb-4777-b20d-16ed69213527 · outbound

This paper cites Baeza, J.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Baeza, J

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.544634Z

Source-reported events for the cited work

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Observation 1ad56a24-5de2-435f-ad13-169c39397307 · outbound

This paper cites The weirdest SDSS galaxies: results from an outlier detection algorithm.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices The weirdest SDSS galaxies: results from an outlier detection algorithm

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:45:05.285898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 050a80b9-e63a-4acb-8ac5-a3b4eb38a746 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.550693Z

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Observation 95aafe93-4431-4424-89fa-a467bad478a5 · outbound

This paper cites Belokurov and A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Belokurov and A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.553688Z

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Observation 8781c4ff-2785-434b-ae67-3ee2cf648bb0 · outbound

This paper cites Belouafa, F.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Belouafa, F

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.556251Z

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Observation 3984f4fb-d57c-4866-bd71-5f6d00350bd0 · outbound

This paper cites Ben-Hur, A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Ben-Hur, A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.559056Z

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Observation 4246b97d-8113-4cf0-8fa3-03d0f8013344 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.561720Z

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Observation b34e9f7f-5b0e-4fd9-a16e-6d04634d5e38 · outbound

This paper cites Searching for chemo-kinematic structures in the Milky Way halo with deep clustering algorithms.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Searching for chemo-kinematic structures in the Milky Way halo with deep clustering algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.564518Z

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Observation bc1ba512-6c57-4fae-a5cc-ea6c17d55aaa · outbound

This paper cites Bialopetravičius and D.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bialopetravičius and D

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.568150Z

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Observation abbc7fec-4196-483f-9a3e-a1bfe2c8e8d9 · outbound

This paper cites Biswas, M.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Biswas, M

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.571136Z

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Observation 87c54d51-68d2-4681-a5ed-f8265c6ec340 · outbound

This paper cites Bousquet and A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bousquet and A

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.573909Z

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Observation ace63211-afd4-474e-91cf-d5521ce28f33 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 22

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Observation 3181a17b-ab9c-42ff-a541-9f939da05e4c · outbound

This paper cites Bovy, H.-W.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bovy, H.-W

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.579444Z

Source-reported events for the cited work

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Observation 2db4427e-091b-42fe-a7cc-ccc511240540 · outbound

This paper cites Bravo-Merodio, J.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bravo-Merodio, J

Reference 24

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Observation bde08926-937b-4f43-9150-9d9e6fbb2463 · outbound

This paper cites Bresciani and M.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bresciani and M

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.584746Z

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Observation bac390ba-89db-4074-bfd7-60003dec0a0c · outbound

This paper cites The GALAH Survey: Data Release 4.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices The GALAH Survey: Data Release 4

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.587790Z

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Observation 4ec949f9-9611-45a8-b18a-23189fefc146 · outbound

This paper cites Bullmore and D.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Bullmore and D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.591232Z

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Observation c1faa15e-6618-46ed-817e-54f26d4e4579 · outbound

This paper cites Carpenter, J.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Carpenter, J

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.593915Z

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Observation eb805804-cdef-4a1a-a47c-5361a7460d65 · outbound

This paper cites Casamiquela, A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Casamiquela, A

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.596805Z

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Observation 68fd34aa-51a3-449b-bba8-943d53999a06 · outbound

This paper cites Cavallo, L.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Cavallo, L

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.599723Z

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Observation f9deb8ea-4396-49d1-b64b-9f30747a946c · outbound

This paper cites Chandola, A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Chandola, A

Reference 31

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Observation aef6e917-ab5c-45e1-937b-f8e621369da3 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 32

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Observation f9edcd28-9e1f-42bf-9f08-7bc5d883cdf9 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 33

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Observation 05c2f5f3-270d-4ed4-ba64-7a5de755a24c · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 34

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Observation 84492f34-0d2b-4957-aed4-1a5ed9ec627b · outbound

This paper cites Chiappini, F.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Chiappini, F

Reference 35

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Observation 2731fef3-d92a-4306-91d2-fdaaef05c14b · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 36

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Observation 0a5880df-60a0-4f78-a963-a21eef218244 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 37

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Observation 6c5f5dfe-323e-4ecb-8b02-b59a793ced8d · outbound

This paper cites Clare.Communicating Clearly about Science and Medicine: Making Data Presentations as Simple as Possible.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Clare.Communicating Clearly about Science and Medicine: Making Data Presentations as Simple as Possible

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.624138Z

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Observation a54ed17b-9059-4341-a275-6dda03fe34d7 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 39

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Observation 43424425-3fd4-4ac4-9ae4-4e64620881d3 · outbound

This paper cites Collaboration et al.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Collaboration et al

Reference 40

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Observation 08e7f240-6325-43fb-a9f9-1e95eab8c1ce · outbound

This paper cites Crone, S.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Crone, S

Reference 41

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Observation 956a8093-84be-4a70-aaca-a74a5490daf7 · outbound

This paper cites De Silva, K.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices De Silva, K

Reference 42

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Observation ae0285dd-1c8c-4fab-b681-15cc79b8d6f0 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 43

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Observation b512e299-0592-428a-b586-00d3582e72ad · outbound

This paper cites Denny and A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Denny and A

Reference 44

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Observation 09bb0f9f-ab90-4eb8-a94f-a6c3532256f7 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 45

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Observation d6dc0a10-3001-42d7-8cdc-c2ca2c6c0564 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 46

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Observation d1d5efa0-9a46-469e-89d5-863e75bab723 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 47

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Observation d25d037d-5512-4fbb-b335-c7ee3c8969c9 · outbound

This paper cites Donor, P.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Donor, P

Reference 48

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Observation dbd0cf38-d514-47fd-9cb0-70cd4c2b00e4 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Drton and M

Reference 49

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Observation 678c61c4-51d2-4691-8451-64a8a9a84f3b · outbound

This paper cites Ebert-Uphoff and Y.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Ebert-Uphoff and Y

Reference 50

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Observation a72e2f3b-35c1-49d8-83d6-44eae312ddf3 · outbound

This paper cites El Naqa, D.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices El Naqa, D

Reference 51

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Observation 224b3fe5-900a-4b7d-87ac-63fecf387846 · outbound

This paper cites Evergreen.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Evergreen

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.664482Z

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Observation 6dc7eeac-597d-48e8-a916-f68b52e0c5ac · outbound

This paper cites Farahani, W.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Farahani, W

Reference 53

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Observation 0aa66ae0-ff26-4a52-b40e-a1eb86327658 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 54

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Observation 330be798-df4b-445c-8265-d6fb5b667178 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 55

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Observation 643917b2-2f0c-4a0a-af60-20fb42d945ec · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 56

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Observation f4c4efd5-51c6-473e-a5fe-ddf26ec41744 · outbound

This paper cites an unresolved cited work.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 57

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Observation abc87559-cfde-4a4e-8f41-baffbfc72129 · outbound

This paper cites reproducibility and replicability in science.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices reproducibility and replicability in science

Reference 58

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Observation d37615a2-52b3-4d31-aac1-e87d18b794ae · outbound

This paper cites Fornito, A.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Fornito, A

Reference 59

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Observation 9e1c0b8f-01c7-4eb7-84fd-b535eb1eeb59 · outbound

This paper cites Fraix-Burnet, C.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Fraix-Burnet, C

Reference 60

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Observation 94fff7ef-01f2-4302-a515-66f83a65e881 · outbound

This paper cites Frank and I.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Frank and I

Reference 61

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Observation 4a415404-16f4-48bb-a829-5ccca7c9316c · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 62

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Observation f563b73a-38cf-46be-8d56-daa535ca61d7 · outbound

This paper cites Are machine learning interpretations reliable? A stability study on global interpretations.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Are machine learning interpretations reliable? A stability study on global interpretations

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.694680Z

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Observation 8ed514ec-f913-4700-863c-5353ec83724d · outbound

This paper cites Garcia-Dias, C.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Garcia-Dias, C

Reference 64

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Observation adf49422-90ef-4b40-9907-bd28fdf82817 · outbound

This paper cites Gastner and G.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Gastner and G

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:04.700731Z

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Observation a13794b9-8c04-4539-8355-791ee471eeb0 · outbound

This paper cites Ghojogh, M.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Ghojogh, M

Reference 66

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Observation 0bd17834-6d42-40d1-925c-46a3c416bbac · outbound

This paper cites Gilmore, S.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Gilmore, S

Reference 67

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This paper cites Gleicher, D.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Gleicher, D

Reference 68

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 69

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Goder and V

Reference 70

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Gratton, C

Reference 71

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Observation 2eecc47b-b5be-4f71-a97e-760f1cc4c8c3 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Greene, P

Reference 72

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Handl, J

Reference 73

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Observation ddaca8fc-f873-48bd-bf0e-c5829c15da6e · outbound

This paper cites Hastie, R.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Hastie, R

Reference 74

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Hawkins, P

Reference 75

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 76

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Observation 4a4af215-a38c-439b-913a-fad63ee5f15e · outbound

This paper cites Healy.Data Visualization: A Practical Introduction.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Healy.Data Visualization: A Practical Introduction

Reference 77

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Observation 003c6174-d7f6-4383-b3fd-a19eb62db785 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 78

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 79

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Observation 992ec526-2af6-467e-be54-3e20ab85f120 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Hotelling

Reference 80

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 81

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Huang, Y

Reference 82

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Islam and S

Reference 83

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 84

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Janvrin, R

Reference 85

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Observation ab5cf6db-c3fb-4fd2-91c9-f809e91d1c18 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Josse and F

Reference 86

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 87

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Kaufman and P

Reference 88

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Observation 0403146c-10e8-408a-8211-247598a27373 · outbound

This paper cites Kim and Y.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Kim and Y

Reference 89

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Observation 0d62efca-239b-42f3-973f-06b2c0191406 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 90

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Observation 90ffeb20-e0fe-440c-861c-f335ebbe6e68 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Kleijnen

Reference 91

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Observation 6ff02f9e-efc6-4ae7-8515-4dc421d48719 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Kobak and G

Reference 92

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Observation e67edcbb-6069-42ba-b1cc-9f9f3a72fa8d · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Koivisto

Reference 93

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Observation b9ff6417-eccc-4515-bd93-35709a0b37a6 · outbound

This paper cites Star Cluster Formation and Feedback.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Star Cluster Formation and Feedback

Reference 94

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Observation dafef1ca-76f4-4556-9f6e-75668788ae6b · outbound

This paper cites Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables?.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables?

Reference 95

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Observation ae5e2c32-216a-4c65-a173-ac56f54828fe · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices König, J

Reference 96

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Observation 67b299e6-01fd-498b-83ca-b6c42dfc89d0 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Lange, V

Reference 97

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Observation 9705fd17-541d-4539-9447-4c270b949d87 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 98

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Observation 79cb2ad0-ac2d-4d0a-8630-a125b6b63478 · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Legnardi, A

Reference 99

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Observation e326b70e-9fe7-4cd4-86f4-fa697f021f4a · outbound

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Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Unresolved cited work

Reference 100

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Pith citing papers

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Inference for Clustering: Conformal Sets for Cluster Labels Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices

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Observation cff51514-f405-4ea1-a6cc-64f87cfc0783 · inbound

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MEDAL: Manifold Embedding Distillation via Autoencoder Learning Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices

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