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Paper Citation Record · LEDGER

Finding Most Influential Sets

As of 15 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2606.05919.

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

pith.paper-citation-record.v1
2606.05919 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:50:18.893062Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

74 of 74 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved71
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52a9af1a-968c-497a-b4a5-610436da3bb6 · outbound

This paper cites Biometrika , volume =.

Finding Most Influential Sets Biometrika , volume =

Reference 1

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:ef0d72a0b795451ac2a78434b3793a59cfb9cc39ee6299635dc4c5036a6f9304

Observation 37c7e4a4-a1de-4262-956f-857f6c7dfff8 · outbound

This paper cites Management Science , volume =.

Finding Most Influential Sets Management Science , volume =

Reference 2

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:74461eed4d94c23ccc8b537f1775ff43bc109532b118d079534eeac070469499

Observation d94c2f82-8470-4870-acc0-f2d9f177c620 · outbound

This paper cites Fractional Programming.

Finding Most Influential Sets Fractional Programming

Reference 3

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:d396557811bd8a92a574f6f9aa71e138631398186e757ebc3bdeef9adeaff861

Observation 4b259f5b-e0cd-4de1-a914-f49794a4ebed · outbound

This paper cites The Econometrics Journal , volume =.

Finding Most Influential Sets The Econometrics Journal , volume =

Reference 4

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:356f1cd761f625eb35957b6372cec0fea4d3abd474b15df388f6e1f551ef4008

Observation e116ad97-c271-487d-bd2d-3d7fdcb157a9 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Finding Most Influential Sets Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 5

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:8a67988fa8f5ba8af94b6094b95b6f96e6ee11d677cb20501a38b33cbd777b85

Observation b014e790-67d3-4f4f-8fa2-d026fa138538 · outbound

This paper cites Automated Software Engineering , volume =.

Finding Most Influential Sets Automated Software Engineering , volume =

Reference 6

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:8c6c57d6f6d5b00c81aa699fc857076ad5ae330ff69c2ce5aa2c9d295e4fb218

Observation 3fd9b1f6-648d-47e1-b389-934aa7fffef3 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Finding Most Influential Sets Journal of the American Statistical Association , volume =

Reference 7

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:3887e954da79d3fb6fa19149bfea1de7fcf0229f25c778ad751fc01bec944ba3

Observation b3c7eef4-b627-41cd-ad8c-0817702ac735 · outbound

This paper cites 2025 , eprint =.

Finding Most Influential Sets 2025 , eprint =

Reference 8

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:ddf759414af73b46b089c137e991dd8314ba78e5ad93d0a78fa7772f73b40b6c

Observation d72db9e0-98f6-4383-8428-e61d30dead36 · outbound

This paper cites 2023 , isbn =.

Finding Most Influential Sets 2023 , isbn =

Reference 9

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:73f1e50eba56ad8f67556ff24f2c747d3d96a7a79436a8ca69e28b5d9d423254

Observation 0d5ece2d-5d64-4b1e-950a-40dc9aa6f6f8 · outbound

This paper cites 2025 , eprint=.

Finding Most Influential Sets 2025 , eprint=

Reference 10

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:cb26023479fcf80d45c51d4489c6dce5ecac950cc8763dd0bca36eb533e0edc6

Observation 53fa044f-8746-4fe6-8186-50626043632c · outbound

This paper cites 2001 , publisher =.

Finding Most Influential Sets 2001 , publisher =

Reference 11

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:84c39df978aca0849689dc47314ef05b920502e6dc345c97b7754d1a1900dfef

Observation c0465b96-5170-41ae-a068-c3ba818376d8 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Finding Most Influential Sets Journal of the American Statistical Association , volume =

Reference 12

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:a5191e252e294c22137630cdc831b74f13b6cce465c23dccde578563bb0b0be3

Observation 23500c27-de8e-4b5b-b630-35b6d4439e16 · outbound

This paper cites an unresolved cited work.

Finding Most Influential Sets Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:b2e22f62533a279a9decc76cdbbab4a545ba26a86854ba87ec5e49a52b2c3119

Observation f863ab48-987e-4ac6-bc6a-2fd4014bb519 · outbound

This paper cites 2006 , publisher =.

Finding Most Influential Sets 2006 , publisher =

Reference 14

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:c28d6e0d24496e919c1e5ed353e2f6146a60f6271d109e6ac1876ab74a5cfaec

Observation f132c7ed-a5a6-4c1e-9d38-2f5e4fc42fde · outbound

This paper cites Extremes , volume =.

Finding Most Influential Sets Extremes , volume =

Reference 15

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:e51bf5b0acf19e6dbac19022871dce7a6f0a9c615c228374107a886f641bda71

Observation bccd33df-c738-4d20-a35c-fe8995fde60d · outbound

This paper cites Bernoulli , volume =.

Finding Most Influential Sets Bernoulli , volume =

Reference 16

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:9dce717acc673760f7334ec0dfabbc30c4ef36efec41b07403dd113b9f6bbb67

Observation 6a6219fb-bc23-4999-95a8-9969977023d6 · outbound

This paper cites 1997 , publisher =.

Finding Most Influential Sets 1997 , publisher =

Reference 17

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:2013cfc47ab93c80e610edd57b22f0662cfee7dfa08fb4908af3243143396760

Observation 02bceb4b-8f30-40c2-b05c-d795aa80483a · outbound

This paper cites Most Influential Subset Selection: Challenges, Promises, and Beyond.

Finding Most Influential Sets Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 18

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arxiv_id, observed 2026-07-02T15:27:05.791186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:debeb8c01e31b594de408e3d297abc0e86b2bdbe22cdd5eb3d3efe726e4ac314

Observation 5bafd7d1-e925-4053-b29b-9e42871ca10b · outbound

This paper cites an unresolved cited work.

Finding Most Influential Sets Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:5f674b7ef64cec0b9909e725e569b4f1afa0296680dfca001764fbb8b147165a

Observation 01fba2d6-51d2-42d8-8fe1-db4138755f47 · outbound

This paper cites Nature Machine Intelligence , volume =.

Finding Most Influential Sets Nature Machine Intelligence , volume =

Reference 20

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:13d86ed0c46a7a42691986ae6a3226e7faa602224e7f428ce03d3494f099f314

Observation 8980c558-78f4-4690-8021-3f14a3c12ea9 · outbound

This paper cites IEEE Access , volume =.

Finding Most Influential Sets IEEE Access , volume =

Reference 21

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:db089776b74c8ea3ca009367a6feabee27e4c054b681eda1e2a817fd45c53001

Observation aaa8854a-2a2a-4ded-b226-b97e0d0153d3 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages =.

Finding Most Influential Sets Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 22

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:00fe7008cb1f9587eb9e9907f972646221e2f8ee9ea2736552b48628ab939f52

Observation b795eaa6-a122-4daa-b289-06fe48b90835 · outbound

This paper cites Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , pages =.

Finding Most Influential Sets Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , pages =

Reference 23

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:443641fd714deecc82214d56d56f5718875b8ed3d15c4a353307e3d0eb193f8a

Observation 346dd7b9-9c4b-4092-a112-e5ad8d93250e · outbound

This paper cites Rcpp: Seamless.

Finding Most Influential Sets Rcpp: Seamless

Reference 24

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:7c5536d43c6446310af23ac3abd428aca997a8906e1c20a1ffc44540749aed9a

Observation d1bfed77-c3a5-4126-abbf-9f02ffb68183 · outbound

This paper cites 2025 , note =.

Finding Most Influential Sets 2025 , note =

Reference 25

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:cfb23e8cf3e89f8309f306e964af1aa5dbd3e30ece51193e253605bc5abe2636

Observation 085264c7-e38a-42e0-9ad7-5165ae2ec45f · outbound

This paper cites Modeling Wine Preferences by Data Mining from Physicochemical Properties , journal =.

Finding Most Influential Sets Modeling Wine Preferences by Data Mining from Physicochemical Properties , journal =

Reference 26

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:def4e1d8aa9b15a5c2c34194d9af3886b6ab40be0492155d75059044e6d1ec00

Observation 0ad7e3eb-1b32-43b7-a960-6a9414f32c37 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Finding Most Influential Sets Advances in Neural Information Processing Systems , year =

Reference 27

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:634f9cd51c79ebf39f9bbaef78c0dc934c5a1fc872a9d04635a1c7c576af3580

Observation 234e2874-a361-45d1-b63c-4efd3e3b1a41 · outbound

This paper cites Proceedings of the 11th International Workshop on Semantic Evaluation , pages =.

Finding Most Influential Sets Proceedings of the 11th International Workshop on Semantic Evaluation , pages =

Reference 28

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:1ccae0dee2d671f1537e79bf9c6f51c435baa84e4b78daaa989a9d4f6ba4920b

Observation 9ae9b680-3b96-40ed-af27-5e3fda2bd355 · outbound

This paper cites Proceedings of the Second International Conference on Knowledge Discovery and Data Mining , pages =.

Finding Most Influential Sets Proceedings of the Second International Conference on Knowledge Discovery and Data Mining , pages =

Reference 29

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:f72b63efa170311541aa4fc7561a6ea907c44ce0a0263ca593f6dd65a49a2952

Observation 4717aedd-3d3b-4cb7-930f-7da48e7ada07 · outbound

This paper cites Kelley and Barry, Ronald , title =.

Finding Most Influential Sets Kelley and Barry, Ronald , title =

Reference 30

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:5de1ed225f4aaa87a9256bbe791f0335e3c619f947ad5dca9f2263cb9c4d4d37

Observation 35c65f22-1cbc-46dc-a771-893ce0b3cec3 · outbound

This paper cites , title =.

Finding Most Influential Sets , title =

Reference 31

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:0d2e18adaae28128f4cffb89d8f63103c23993e9bf3525b20fd1521176b2a2fe

Observation f87bd8d5-1705-4335-9645-90e6061cad48 · outbound

This paper cites 2016 , isbn =.

Finding Most Influential Sets 2016 , isbn =

Reference 32

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:03e3c0a5ef07807c0a2ae589543ae7af685c69d6cff3ad54133e54d60d938c20

Observation 8e22a4e7-29e9-4251-9c7f-97c2dcb1a68e · outbound

This paper cites an unresolved cited work.

Finding Most Influential Sets Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:b691a3a7d958babff944a32ca01cdf0fe513e48fd074e4ca30be5c151fe9b316

Observation b848d008-cfb4-442f-8781-5f7ca148f97b · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Finding Most Influential Sets Advances in Neural Information Processing Systems , volume =

Reference 34

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:954a572f58f20c632cfc9b9c4d6c22544d4467e0b1be734146e37ea6da15ec57

Observation a31d3861-5a40-4392-9929-ca1729ab4464 · outbound

This paper cites Machine Learning , volume =.

Finding Most Influential Sets Machine Learning , volume =

Reference 35

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:50b129167f0cb570e553ddb1d4305dc41521f1ad8536a35130f91fc94cbe5507

Observation c242e358-24dd-4594-af03-7f7309706b6f · outbound

This paper cites 2025 , note =.

Finding Most Influential Sets 2025 , note =

Reference 36

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:c1b4924991ce9566778018ce39ce2147a553d6795c374d4259ab02ac192be40b

Observation c367fa58-6fa6-4787-8638-1074e93f5bc2 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Finding Most Influential Sets Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 37

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:edceaa22f8b5c208ee6d2f5d6e5291c58d4689572ccbc5835d0a4c46681a33f6

Observation 24261f9b-7638-4f77-83ad-11fa3e1c980e · outbound

This paper cites Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages =.

Finding Most Influential Sets Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , pages =

Reference 38

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:8185be29dc0b49427d9b4237c18b2b07a5455bef25ee7ed01d2322957600d3ce

Observation cca53ede-2d6d-40c0-b64d-f10cd9ac6748 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning , pages =.

Finding Most Influential Sets Proceedings of the 36th International Conference on Machine Learning , pages =

Reference 39

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:c8bef70d89948ae1a1893b6395dbbfa7ed0526bcf7a0b1e0a7aa4c4f6464f88d

Observation 219730c1-cf6e-4f54-8fef-350fabf35938 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Finding Most Influential Sets Advances in Neural Information Processing Systems , volume =

Reference 40

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:9c1e6fc504be998cf428a5b0cea4223d41c5c42b1278d5473f791ef63ef11394

Observation ff0ad0d1-fccc-48b7-9783-2bc621e43e80 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Finding Most Influential Sets Studying Large Language Model Generalization with Influence Functions

Reference 41

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arxiv_id, observed 2026-06-27T23:51:24.663345Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:abb7f460545e1d57cd7326bbc945d3d024c5b3cc697d0e27f0b83da2d9808de2

Observation 759203a9-a45d-4b07-8e84-a4df55f468e6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Finding Most Influential Sets Advances in Neural Information Processing Systems , volume =

Reference 42

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:ac3339adf87bca315789bb0019df351ecd011f78ae6703fc37ed759cb114ccb9

Observation 4fd5f87d-7a78-455c-8701-51ba18e29cd5 · outbound

This paper cites What Data Benefits My Classifier?.

Finding Most Influential Sets What Data Benefits My Classifier?

Reference 43

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:68d498677eac02519c3362079f822a77d92ce44455fca252612255262ac58bf0

Observation 5115cecc-3f9f-4f69-9fdb-e81f4ef1763a · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Finding Most Influential Sets Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 44

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:96553e60580658e56b097944ada460bacca391cc1b66f8493ab2bc6fea9c3d40

Observation 8e2689b5-54e3-479d-89e2-a764371e550c · outbound

This paper cites Journal of the American Statistical Association , volume =.

Finding Most Influential Sets Journal of the American Statistical Association , volume =

Reference 45

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:839b10c6ed63f780dc94adde960a5333a2bf62441ace9ca69361189870844504

Observation a77fa963-d3a3-429e-94e9-3b279c4dad75 · outbound

This paper cites 1980 , doi =.

Finding Most Influential Sets 1980 , doi =

Reference 46

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:708f0a76e04747b9dc6925e29da7ba10a22bc52148019b6fb7a4e49e3af245c8

Observation 91e7105a-cc7c-4678-b58e-017a250d2076 · outbound

This paper cites 2023 , note =.

Finding Most Influential Sets 2023 , note =

Reference 47

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:440c113d2b54ad9905a12b127d0d2defb0966b13ce1a08f94064410710ae0803

Observation 9335bec2-c318-4cf3-9972-2b372190607d · outbound

This paper cites Science , volume =.

Finding Most Influential Sets Science , volume =

Reference 48

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:4c257978bf8abc8870006a8a163091b5d54c54cdac9cc11fb64c8412d9e5b23b

Observation 66179314-ef26-41bf-bb86-d721aeef6f67 · outbound

This paper cites Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.

Finding Most Influential Sets Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Reference 49

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verified exact
arxiv_id, observed 2026-06-27T23:51:24.662322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:fd1adfb8918c2efd1e7bb68b54fbeae5ed7e8ddb8018063c7ac43fe5b5301d44

Observation b3b28cb6-d1e4-4236-a4b5-c79954d86a17 · outbound

This paper cites Methods in Ecology and Evolution , volume =.

Finding Most Influential Sets Methods in Ecology and Evolution , volume =

Reference 50

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:87cde14947de716b8a07031759ab226f8a1ad5ee167fe0953fa807a78ede2c56

Observation 5c2d88f0-2ca1-4dc1-9558-a9932245dee4 · outbound

This paper cites The Condor: Ornithological Applications , volume =.

Finding Most Influential Sets The Condor: Ornithological Applications , volume =

Reference 51

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:f5e0deb9a2281465059aa6c9c8aab30cc72d3759b7cff1ec874b36e20e6920e6

Observation b25a8f91-b6d7-45d0-99ae-3b0b5ec40b86 · outbound

This paper cites International Conference on Learning Representations , year =.

Finding Most Influential Sets International Conference on Learning Representations , year =

Reference 52

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:fe6ff2fac26eed202dbbf7517961a40a342da18826b43194e0d41660399af21e

Observation 61c66feb-e22f-47fd-b6cf-9fa7fc547ef1 · outbound

This paper cites arXiv preprint , year =.

Finding Most Influential Sets arXiv preprint , year =

Reference 53

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:bfff67b42d611c02d0ba51f7e9995ab6c5eb9838aa83c8cac69fb485acadbef7

Observation a2e64648-5325-4bc3-af14-36f051783792 · outbound

This paper cites International Conference on Learning Representations , year =.

Finding Most Influential Sets International Conference on Learning Representations , year =

Reference 54

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:8ceb45aa4aae8d0c1b5998c133a11a12e8de614ea4b39182606b5084ad82d275

Observation 92902c97-ebca-41c2-91b8-443f08fd9786 · outbound

This paper cites and Ronchetti, Elvezio M.

Finding Most Influential Sets and Ronchetti, Elvezio M

Reference 55

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:586a646c437e01183eb2b624e89bf4c7ed8bcad2ec950bc5739df09474536bf8

Observation 7b166430-dd15-462e-945a-0f008975d3c3 · outbound

This paper cites Technometrics , volume =.

Finding Most Influential Sets Technometrics , volume =

Reference 56

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:0ea63dd5e6d6b5c3189a03fb6608c50c7ae5327f2b5d278a0b47940ef58f7a0c

Observation c8d0b88d-1610-4aff-8733-6c5e3f375a12 · outbound

This paper cites 2025 , note =.

Finding Most Influential Sets 2025 , note =

Reference 57

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:9ea8cf33e1031aa2343683c891ea466be70c50c6b0cdf29563403f0afbb167ed

Observation 136a88bf-8fcb-48ea-b7ff-75999f65f03c · outbound

This paper cites Mathematical Proceedings of the Cambridge Philosophical Society , volume =.

Finding Most Influential Sets Mathematical Proceedings of the Cambridge Philosophical Society , volume =

Reference 58

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:561fd3c0d5d2cad1e26bd74910e00f36c04735a10e7a3b5c5bc878d562b35084

Observation 515d00cb-e2f8-42b5-ac0f-75605979040c · outbound

This paper cites , journal =.

Finding Most Influential Sets , journal =

Reference 59

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:5e1e26c2a9980d8536794b0036e7ce085dd1014264e94aaa801b1430689e9d4b

Observation dd78bd41-eb6f-44a1-9f08-27d4a31a1f08 · outbound

This paper cites 2020 , note =.

Finding Most Influential Sets 2020 , note =

Reference 60

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:412ad5f731dccc5952fbeb675cd30fb4880bbb9ca54c701e9820b95b6abe4ece

Observation 766118f0-c9f8-405e-a5d7-80e1d74ef2e2 · outbound

This paper cites Electronic Journal of Statistics , volume =.

Finding Most Influential Sets Electronic Journal of Statistics , volume =

Reference 61

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:84e8493d36127ccb560269f16c04b911729a6629071e29f7a67be5314d2f772d

Observation 336d44fe-3447-476b-994d-b8a7f7abe5b0 · outbound

This paper cites Journal of Statistical Planning and Inference , volume =.

Finding Most Influential Sets Journal of Statistical Planning and Inference , volume =

Reference 62

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:ffc97192b84f37e0d9268fa37cdc33a443222fe8e23b28d41b5bf2f986f93195

Observation 7ec33b07-5803-4d82-aa27-224ab6f8d5ad · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Finding Most Influential Sets The Fourteenth International Conference on Learning Representations , year=

Reference 63

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:f7467fceb158a62318714cbffd839751660f04af4770955cfe3ef161a8143b81

Observation 63fa6e81-f756-444f-a639-6c43d3a84382 · outbound

This paper cites Statistical Science , volume =.

Finding Most Influential Sets Statistical Science , volume =

Reference 64

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:cdd5842da235fd05f5755fe6dfa8e594aafe02a36b6f857e9c9669e10b5ef949

Observation 78332a55-9678-41b2-9383-63d091b98b1d · outbound

This paper cites Econometrica , volume =.

Finding Most Influential Sets Econometrica , volume =

Reference 65

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:18b602b03d37dae2ed19d5aea16dfd47e08ec5ce4df5f35ac5526891d58acd37

Observation 30c36ba5-cfaf-47d2-854a-9ccc705990d8 · outbound

This paper cites Econometrica , volume =.

Finding Most Influential Sets Econometrica , volume =

Reference 66

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:efd6a7198c8959b22c78e715a82c6de8562bb414790d339b35cb06884380aba1

Observation 091d3bed-4fd6-4d93-bf59-dbd9ff7b9267 · outbound

This paper cites Econometrica , volume =.

Finding Most Influential Sets Econometrica , volume =

Reference 67

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:5e4b2401657be716156d338bd1fcf96cef388cfdd8dd0f6fbecd1933103e7f3c

Observation 0b2b58c2-6dac-4f74-884e-a053e452438e · outbound

This paper cites American Economic Journal: Applied Economics , volume =.

Finding Most Influential Sets American Economic Journal: Applied Economics , volume =

Reference 68

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:27800bd89498b48631e9267cafe62452d876b4b3a001d03e024503ed01fcc9d4

Observation ed823ff0-7afd-4f61-b53c-da455252be31 · outbound

This paper cites The Impacts of Microfinance: Evidence from Joint-Liability Lending in.

Finding Most Influential Sets The Impacts of Microfinance: Evidence from Joint-Liability Lending in

Reference 69

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:21c6541a71772167dce2907a82f4f24e145b09d590e6757ba54f6bc82a89e00e

Observation baf87a46-fc7c-48ea-9168-c9782035c8f7 · outbound

This paper cites American Economic Review , volume =.

Finding Most Influential Sets American Economic Review , volume =

Reference 70

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:181d32b21608d8a5e64120342c3c01a5e23353804b887987d6f29e9f2a3549b7

Observation dd38ceb1-8c18-4344-8bf1-15a76a62e64c · outbound

This paper cites The Effect of the.

Finding Most Influential Sets The Effect of the

Reference 71

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:ce16acfd2b273cf431a8577f2ca55cc36e515d95215c905e83c28ffc1fdb2bc9

Observation af6ca185-50b0-47ad-bb66-914afd91f33d · outbound

This paper cites IEEE Transactions on Information Theory , volume =.

Finding Most Influential Sets IEEE Transactions on Information Theory , volume =

Reference 72

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:539ca0ca158ce877a9a7e82f3f88200f5bfb3bc2fee85c6a8abcb25a524bdf54

Observation b3785413-c826-45f2-8384-bd0d701fb20b · outbound

This paper cites IEEE Signal Processing Magazine , volume =.

Finding Most Influential Sets IEEE Signal Processing Magazine , volume =

Reference 73

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:a8a7dabdd02a0a451aa81a8daf83c1cb5d570361656b3862917530220330012d

Observation 6d15580b-815c-47d8-b3ec-44d56ef8c8be · outbound

This paper cites 1992 , number =.

Finding Most Influential Sets 1992 , number =

Reference 74

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source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:a3f320e4527e4772081556a824b714d824a1faebd604b3337c7c74e925cc2ded

Pith citing papers

No inbound Pith citation observations are available.