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Paper Citation Record · LEDGER

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels

As of 7 August 2026, this Paper Citation Record lists 100 of 231 outbound references and 0 inbound Pith citation observations for arXiv:2607.17857.

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

pith.paper-citation-record.v1
2607.17857 v1

Coverage vector

measured 100 of 231 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:49:46.389575Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

100 of 231 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved98
  • parse uncertain2
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50dc2875-5656-428b-bd9d-dcf99f05b936 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 706458ce-1406-4d1e-a0a7-8400bc6f49fd · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 2

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Observation 39655a8f-5b62-4841-95b8-f79ea442e77d · outbound

This paper cites Journal of Foo , volume = 13, number = 1, pages =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Journal of Foo , volume = 13, number = 1, pages =

Reference 3

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source=arxiv_source observed=2026-08-01T16:49:41.622010Z digest=sha256:c24465cd7c66a80fc9b626896f8359ee3e9772a6aaf24d62cd814d11c6ed5ab0

Observation 0d5da116-63b4-4cc0-95d4-f8680c4ef0df · outbound

This paper cites Journal of Foo , volume = 14, number = 1, pages =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Journal of Foo , volume = 14, number = 1, pages =

Reference 4

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Observation 424e6161-f7d5-4b6a-b036-45e75e39a781 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 5

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Observation 674dd22e-a442-4ad7-8113-161cfd3755e9 · outbound

This paper cites Abril and Robert Plant.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Abril and Robert Plant

Reference 6

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Observation 8d571cc3-70f1-4025-a5de-9fe1fa7ed61e · outbound

This paper cites Deciding equivalances among conjunctive aggregate queries.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Deciding equivalances among conjunctive aggregate queries

Reference 7

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Observation 605e0c5e-5538-41ce-9049-6703824d8c82 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 8

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Observation 64588ede-c22a-45d5-a391-992e428cfc2c · outbound

This paper cites Understanding Policy-Based Networking.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Understanding Policy-Based Networking

Reference 9

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Observation 5868e6e4-f60e-4f32-adcb-58e426b34b2d · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 12

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Observation a938dce2-bc70-4dd7-90eb-57cf5513cd9a · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 13

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Observation 4b442598-d26a-4675-aa00-3dccc382e53e · outbound

This paper cites Douglass and David Harel and Mark B.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Douglass and David Harel and Mark B

Reference 14

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Observation d614b402-5af0-4348-b3e6-21c25f816e45 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 15

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Observation 33f56b98-966e-4ea8-8a55-32f24c27029e · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 16

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Observation 4c64739c-0c25-4959-afab-e2d84868c805 · outbound

This paper cites Structured Variational Inference Procedures and their Realizations (as incol).

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Structured Variational Inference Procedures and their Realizations (as incol)

Reference 17

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Observation 089d0f5e-2bdd-4458-86c7-a5792ddd8504 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 18

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Observation 204b2e92-7fa1-4faa-b4f3-e4425f360c16 · outbound

This paper cites Catch me, if you can: Evading network signatures with web-based polymorphic worms.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Catch me, if you can: Evading network signatures with web-based polymorphic worms

Reference 19

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Observation 558190f2-e220-4634-8cce-b8aec316012a · outbound

This paper cites Predicate Path expressions.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Predicate Path expressions

Reference 20

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Source-reported events for the cited work

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Observation 5c542f6a-5e68-4d2e-b70b-4730d7a5de67 · outbound

This paper cites LOGICS of Programs: AXIOMATICS and DESCRIPTIVE POWER.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels LOGICS of Programs: AXIOMATICS and DESCRIPTIVE POWER

Reference 21

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Observation c7f59b92-c4c9-41b3-b6a2-0e5e49755366 · outbound

This paper cites Anisi , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Anisi , title =

Reference 22

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Observation bf98310b-3552-4042-9de1-76f50b9ef1ac · outbound

This paper cites Clarkson.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Clarkson

Reference 23

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Observation 34fbd86c-5ae1-4a65-a24c-99efcec8a984 · outbound

This paper cites Introduction to Bayesian Statistics.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Introduction to Bayesian Statistics

Reference 24

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Observation c9b77de7-e78c-44ba-ba7e-b6698192f68f · outbound

This paper cites CLIFFORD: a Maple 11 Package for Clifford Algebra Computations, version 11.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels CLIFFORD: a Maple 11 Package for Clifford Algebra Computations, version 11

Reference 25

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Observation b2106b5b-fcc9-42cb-8f93-4448bf8a4503 · outbound

This paper cites Stats and Analysis.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Stats and Analysis

Reference 26

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Observation 7895c20b-494d-4622-a1cc-95bd9039afa4 · outbound

This paper cites A more perfect union.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels A more perfect union

Reference 27

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Observation f549c32a-cd21-4649-99a5-78b7c5731a4a · outbound

This paper cites The fountain of youth.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels The fountain of youth

Reference 28

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Observation f7971271-aa64-4ed7-a134-4ab4733e7573 · outbound

This paper cites Solder man.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Solder man

Reference 29

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Observation e9252a85-d71d-4b1e-bccb-df2cd5e2185b · outbound

This paper cites Interview with Bill Kinder: January 13, 2005.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Interview with Bill Kinder: January 13, 2005

Reference 30

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Observation db0ecb7c-c534-4fb2-af69-4546f7d1f028 · outbound

This paper cites The Enabling of Digital Libraries.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels The Enabling of Digital Libraries

Reference 31

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Observation a5241a03-a9dd-4b2c-ae52-3b127f11a92d · outbound

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Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels (new) Finding minimum congestion spanning trees , journal =

Reference 33

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Observation ddf432d6-6042-4903-8a95-1fef43454d9f · outbound

This paper cites and Mei, Alessandro , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Mei, Alessandro , title =

Reference 35

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Observation 8c5e7ec4-6fc6-4526-bd06-580f31caddcd · outbound

This paper cites and Hutchful, David K.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Hutchful, David K

Reference 36

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Observation 50dfa333-8848-46bd-9eff-b8d2c3cb33c2 · outbound

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Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels , title =

Reference 37

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Observation c3bcbfec-6c47-45d6-905e-3c5fbf0501c1 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 38

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Observation 640bf7f2-57b3-4585-84fc-1af6c5d16420 · outbound

This paper cites and Rosenberg, Arnold L.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Rosenberg, Arnold L

Reference 39

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Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels CHI '08: CHI '08 extended abstracts on Human factors in computing systems , year =

Reference 40

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Observation 2a82a20a-c8e8-45ea-8c8c-2d33a02f12b2 · outbound

This paper cites Algorithms for Closest-Point Problems (Computational Geometry) , year =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Algorithms for Closest-Point Problems (Computational Geometry) , year =

Reference 41

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Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 42

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Observation c87d98ef-e4e9-4986-b8de-a47c1045b0c3 · outbound

This paper cites 2004 , isbn =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels 2004 , isbn =

Reference 43

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.199523Z digest=sha256:59150e73e8642bec289278c34ae69cf045b03bafabcbd42e2478eb0a59684cce

Observation 90e83da7-ae59-44f4-9e7f-467a74fe8745 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-01T16:49:46.202412Z digest=sha256:ba00c6293f1ee18b9dc087ef7967752b5e5476a3d27a3c448dbe3a61e74e77d9

Observation 56d7942e-96b5-443d-9fc4-deb57c2340fb · outbound

This paper cites , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels , title =

Reference 45

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no resolver link, observed 2026-08-01T16:49:46.205188Z

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source=arxiv_source observed=2026-08-01T16:49:46.205188Z digest=sha256:ea7ef8ef4a3972298269e9cab5b0e9bad81cf3a0bf7da57797e72408f08de442

Observation b7d4987d-b869-4f8a-8375-b0b776c3fa4a · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-01T16:49:46.207944Z digest=sha256:2a518f1399cf4488fff9216b64fb8b1d363a32a5c12b95f02b17d22e595f8538

Observation 5b47d4e5-23e5-4788-bb31-adaec84fb14d · outbound

This paper cites E-commerce and cultural values , year =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values , year =

Reference 47

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source=arxiv_source observed=2026-08-01T16:49:46.211054Z digest=sha256:a62afe9bce6408b274d69fbdf576259cc0f72bc1f7f178ed32173be77ea11381

Observation faa7a614-1bc6-4b14-a297-052ef77081b1 · outbound

This paper cites E-commerce and cultural values , year =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values , year =

Reference 48

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no resolver link, observed 2026-08-01T16:49:46.213675Z

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source=arxiv_source observed=2026-08-01T16:49:46.213675Z digest=sha256:056972bb74910d6ca3d786f102cbe86e497dfffa5d5f0bcd59d93ebfd6e91b0e

Observation 3c5fbe60-3d9c-4b02-86b6-f64f6ac827ec · outbound

This paper cites Chapter 9 , booktitle =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Chapter 9 , booktitle =

Reference 49

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no resolver link, observed 2026-08-01T16:49:46.216421Z

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source=arxiv_source observed=2026-08-01T16:49:46.216421Z digest=sha256:cf0552dc1266af0e1e1c7e167cc11d7b2bfccc2dd1a0a7b2c40de6464baa8aa8

Observation 8b0dc427-23ec-4c08-b18f-e073c8411d0b · outbound

This paper cites E-commerce and cultural values , editor =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values , editor =

Reference 50

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no resolver link, observed 2026-08-01T16:49:46.219265Z

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source=arxiv_source observed=2026-08-01T16:49:46.219265Z digest=sha256:cd7c351459c48557d7ad6b0d8f57dcad4dcce1f519844506fec35d6d2d1da20d

Observation 079bbaf3-2d6f-4ba2-96f0-c376176c2fe3 · outbound

This paper cites E-commerce and cultural values - (InBook-num-in-chap) , chapter =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values - (InBook-num-in-chap) , chapter =

Reference 51

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no resolver link, observed 2026-08-01T16:49:46.221871Z

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source=arxiv_source observed=2026-08-01T16:49:46.221871Z digest=sha256:11e37675a1f9995ab4d09e3a8f90301241843667a3e622b5d4293d961dae862d

Observation eba06112-6928-4594-be6b-f0f94d42d5d4 · outbound

This paper cites E-commerce and cultural values (Inbook-text-in-chap) , chapter =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values (Inbook-text-in-chap) , chapter =

Reference 52

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no resolver link, observed 2026-08-01T16:49:46.224384Z

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source=arxiv_source observed=2026-08-01T16:49:46.224384Z digest=sha256:19ea3604976c554a5444789463f752e34f430f5cee6b4a7787bcec8c27fad290

Observation 119c550c-5d5d-44e3-aadc-ea1c5349f809 · outbound

This paper cites E-commerce and cultural values (Inbook-num chap) , chapter =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels E-commerce and cultural values (Inbook-num chap) , chapter =

Reference 53

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no resolver link, observed 2026-08-01T16:49:46.226923Z

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source=arxiv_source observed=2026-08-01T16:49:46.226923Z digest=sha256:372635523ac460e4efd916f8f0a69c5909fe9737229fe3cded4b206ed23ef989

Observation 7babd71f-b947-4db5-8ebc-cbe436445f49 · outbound

This paper cites Microelectron.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Microelectron

Reference 54

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no resolver link, observed 2026-08-01T16:49:46.230028Z

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source=arxiv_source observed=2026-08-01T16:49:46.230028Z digest=sha256:b7e3bf79caba059cb45f285760aa9ef5ae2073d3c5d822a0a323475c20431a48

Observation 47a60dec-1e4d-4d1a-9431-e2b006d0fadb · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-01T16:49:46.232793Z

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source=arxiv_source observed=2026-08-01T16:49:46.232793Z digest=sha256:83d2144327640c0a5557c75a85a55427fbf17cd879927d8e5e582ec26de4d5db

Observation 711e6f11-c9b1-4d43-9f26-f348426d4819 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-01T16:49:46.235241Z

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source=arxiv_source observed=2026-08-01T16:49:46.235241Z digest=sha256:cccfb90e8fc58030b0d6e824568d4f5d141f325a9eadbb7f0f1bbb6bcb3fbd79

Observation b9033f08-891b-4d1f-a93f-483d00042054 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-01T16:49:46.238144Z

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source=arxiv_source observed=2026-08-01T16:49:46.238144Z digest=sha256:0a5fde81e8a59d68b56f449ed0bbcd188f1d4c2e6edc29a8f80c29ee27978051

Observation 8f3efb28-47db-40ce-9f88-2cef97a6242f · outbound

This paper cites History of programming languages I (incoll) , editor =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels History of programming languages I (incoll) , editor =

Reference 58

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no resolver link, observed 2026-08-01T16:49:46.241331Z

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source=arxiv_source observed=2026-08-01T16:49:46.241331Z digest=sha256:63bae645382d474e6d0d204a1c80fd7ad77dcb00a74696af172629631615ca82

Observation d1191aad-e53f-4a1e-a1d1-0d3969f05c9b · outbound

This paper cites , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels , title =

Reference 59

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no resolver link, observed 2026-08-01T16:49:46.243985Z

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source=arxiv_source observed=2026-08-01T16:49:46.243985Z digest=sha256:59517afb68bfe073313ce411bdccd5618efd5c6691cb2739288847d4ee81d15a

Observation 76b8d70a-55f2-4de4-bffb-b4c6c23bff32 · outbound

This paper cites , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels , title =

Reference 60

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no resolver link, observed 2026-08-01T16:49:46.246641Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.246641Z digest=sha256:4a4d7dc6adea71cc43a271cfb72a3512a4a8cbaae55e6a0ee379ab8e2d1bb59f

Observation fa3170fd-2231-46cf-b310-ee6a065994d7 · outbound

This paper cites , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels , title =

Reference 61

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no resolver link, observed 2026-08-01T16:49:46.249193Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:49:46.249193Z digest=sha256:9f77418feb4b68af23e522e5337a6283cf1f59424d3531e1d2af9daf17348d58

Observation 42750911-1e9e-4808-b43c-c564e2b48fe0 · outbound

This paper cites and Golden, Donald G.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Golden, Donald G

Reference 62

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source=arxiv_source observed=2026-08-01T16:49:46.251883Z digest=sha256:db53c276d730cf0adc95bb49b8e5c3410767df2404f2857b0273d269ab7bd1c8

Observation fbf7afde-6e31-4034-a203-cdaa2ebe8b74 · outbound

This paper cites The analysis of linear partial differential operators.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels The analysis of linear partial differential operators

Reference 63

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no resolver link, observed 2026-08-01T16:49:46.254909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.254909Z digest=sha256:6df09d13e44cbf66643333a80f9bc836d3eddeb1e6ccedb221160e6f249e499f

Observation 6e8d5e19-0965-4691-8e89-a07848f0b85e · outbound

This paper cites IEEE", address =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels IEEE", address =

Reference 64

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no resolver link, observed 2026-08-01T16:49:46.257828Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:49:46.257828Z digest=sha256:8b35c26af9ec39af110c4baf700051075d2223349d4d1b610b05493d9027b1c0

Observation ebceec5d-0ddb-4711-a3d7-7678d72aa8ac · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 65

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no resolver link, observed 2026-08-01T16:49:46.260644Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.260644Z digest=sha256:ef271ada98051061b8230e71056c5da5da72306c07bf565bd8e27635fbd27e16

Observation 915ff7e5-06ac-459b-a0ad-e2d55c6b1655 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-08-01T16:49:46.263508Z digest=sha256:1956b5d05105e79e2bf9f085848bdcdeeb54c216b64e5b975a38792ccba6a515

Observation 971ceede-06bb-486e-9922-73c8866e5094 · outbound

This paper cites ACM", address =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels ACM", address =

Reference 67

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source=arxiv_source observed=2026-08-01T16:49:46.267078Z digest=sha256:3ed82d15fc450ec62b4d99d67194744a2a24a45a60518d13b51fe4435c9589af

Observation f312bffa-ca4e-4ad8-9e9d-265b05ebdd35 · outbound

This paper cites 8 (Special Issue on Sensor Networks).

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels 8 (Special Issue on Sensor Networks)

Reference 68

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no resolver link, observed 2026-08-01T16:49:46.269970Z

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source=arxiv_source observed=2026-08-01T16:49:46.269970Z digest=sha256:9d5d9c0dfc701458816bff3017fe84c9b0f64621e39795393ed9125eb9194e2b

Observation 5b7cc74c-4d0b-48f8-a92c-cc1cf9288923 · outbound

This paper cites Natarajan and M.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Natarajan and M

Reference 69

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source=arxiv_source observed=2026-08-01T16:49:46.272806Z digest=sha256:fb9252a8db9025a4d94ba3218447272835d0322ff893baa543a7200d503f1f28

Observation ca1c8512-cde8-4e0e-bbed-3b14c258bdb9 · outbound

This paper cites Tzamaloukas and J.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Tzamaloukas and J

Reference 70

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no resolver link, observed 2026-08-01T16:49:46.275571Z

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source=arxiv_source observed=2026-08-01T16:49:46.275571Z digest=sha256:e305a94586ffbf4ac4656e5b63de17a02887830dab8d778c4d114a66c2e31574

Observation 2d617369-0bfd-4125-accf-5537ddfe7074 · outbound

This paper cites Zhou and J.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Zhou and J

Reference 71

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no resolver link, observed 2026-08-01T16:49:46.278644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.278644Z digest=sha256:16694af893e558604e2e4d7f0ff41dd2ebe6f081a1b58e674e257a1d46b38537

Observation 94d52f0a-1ab1-44e8-af9f-05ce8cc5ffa5 · outbound

This paper cites Mapping Powerlists onto Hypercubes.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Mapping Powerlists onto Hypercubes

Reference 72

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no resolver link, observed 2026-08-01T16:49:46.281798Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:49:46.281798Z digest=sha256:b9e2252fdbba9f042a5acad43fbdcf837c13406529632dd6056d894b35ddd7a4

Observation bf5ec9ae-edfe-417c-9b7d-6b49bbeea7c4 · outbound

This paper cites Automatic Parallelization for Distributed-Memory Multiprocessing Systems.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Automatic Parallelization for Distributed-Memory Multiprocessing Systems

Reference 73

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no resolver link, observed 2026-08-01T16:49:46.284802Z

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source=arxiv_source observed=2026-08-01T16:49:46.284802Z digest=sha256:9c2f06578bb0cfae6afcb44ae4795daae2a0472d7dbded6e6391af2e55bad372

Observation c80456b1-53c8-434c-91c6-99ea1ba5e28d · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 74

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no resolver link, observed 2026-08-01T16:49:46.287796Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.287796Z digest=sha256:2365fa2de6082f78ff6d527adaaf1069eb8b5076b824dd4b7b8a39da2a563d2b

Observation cf074d0b-3bd9-4d31-8293-ce4687e6279c · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 75

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no resolver link, observed 2026-08-01T16:49:46.290796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.290796Z digest=sha256:7bcccaa8b14797c7f975dff937bf3231a3a55007040e0ceb227a0dd81a419b91

Observation eacd52a3-b80a-483c-8799-485e03d4a824 · outbound

This paper cites Heering and P.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Heering and P

Reference 76

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no resolver link, observed 2026-08-01T16:49:46.293889Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.293889Z digest=sha256:44f4dfba81c7dca5ee42f8aab60b3ceac6285a8d8001bc339a854cd8b3738d69

Observation a3c8b28b-a0ed-4ae3-bcfa-996952e1cfbb · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 77

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no resolver link, observed 2026-08-01T16:49:46.296973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.296973Z digest=sha256:be2b450cf5a80937a203c91594cf52e2c13cb26bb868ce6f97c9088cf0e1143b

Observation e77536fb-8a31-4de8-81a5-86d5cd485881 · outbound

This paper cites Korach and D.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Korach and D

Reference 78

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no resolver link, observed 2026-08-01T16:49:46.300019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.300019Z digest=sha256:1b361c61b60590a81cf4e2b7174377606ce47766ef9eb67fc534d978aeb68809

Observation 47e8344f-4c86-4c7b-9b4a-7adbdf7c9e14 · outbound

This paper cites : A Document Preparation System.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels : A Document Preparation System

Reference 79

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no resolver link, observed 2026-08-01T16:49:46.303384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.303384Z digest=sha256:a3800cf2ca5c579bc3cd60324cd7bd351ee7885ecbedeb915690a065dce5dfd5

Observation 114f1f90-d3cd-4df7-b301-acb0ed91ef43 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 80

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no resolver link, observed 2026-08-01T16:49:46.306489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.306489Z digest=sha256:7189c384d9b5a66bf3dd3fb9429b593a322672cae3cd967acd0bdd25a4fe47da

Observation 6081a19c-35f7-4514-bb21-81c08441563b · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 81

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no resolver link, observed 2026-08-01T16:49:46.309492Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.309492Z digest=sha256:7ae616e31aff5c12113cf34c5a84d0a0870734c811b103700df0d726ecc14461

Observation 234e5cad-ab11-4b84-a7cd-00a49e3aaa0d · outbound

This paper cites and Abdelzaher, Tarek F.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Abdelzaher, Tarek F

Reference 82

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.312580Z digest=sha256:d6c237d56e61a0d3fd56244c52cfa7398ccd7f54471c94d46be47d23e5c9ec55

Observation 90c1e025-8882-4c9d-b10d-47b7f77a379c · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 83

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no resolver link, observed 2026-08-01T16:49:46.316484Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.316484Z digest=sha256:411b00e4a2939bc20705185ea8969b621ef3dc99e65f7f3894f893125e081640

Observation 8279f002-7e13-4e5b-b02a-060a4419b02c · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 84

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source=arxiv_source observed=2026-08-01T16:49:46.320346Z digest=sha256:ed301068585e23efece15a5282746cca9861efe5624ecb36c7ba8fa6a30089b3

Observation 072c3e74-ebc8-4f16-9d2a-76c8bfc2158e · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 85

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source=arxiv_source observed=2026-08-01T16:49:46.323478Z digest=sha256:5586bf25827525f59716ea8f9a3dab234e2028cb92dab7bd576762dcadd472c6

Observation 5ae0930b-1ac2-4b5b-8513-3d55c289221a · outbound

This paper cites and Peterson, Larry L.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels and Peterson, Larry L

Reference 86

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no resolver link, observed 2026-08-01T16:49:46.326467Z

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source=arxiv_source observed=2026-08-01T16:49:46.326467Z digest=sha256:5afdb29b3011fab3a2e81431312f361a6aaa877e54091863c48107a1b0c765a9

Observation 9548baf1-840e-4067-b06f-508fe573891d · outbound

This paper cites TUGboat , volume =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels TUGboat , volume =

Reference 87

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no resolver link, observed 2026-08-01T16:49:46.329894Z

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source=arxiv_source observed=2026-08-01T16:49:46.329894Z digest=sha256:d5e7874ce3d48893453f904d8c4717f188e1f21c8e7d531beee687d12fad5c40

Observation c6dc947c-8bab-4ac3-a0cb-dba838445950 · outbound

This paper cites Post Congress Tristesse.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Post Congress Tristesse

Reference 88

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no resolver link, observed 2026-08-01T16:49:46.333845Z

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source=arxiv_source observed=2026-08-01T16:49:46.333845Z digest=sha256:5725f0d8163ae36348561e33488593003602dc07b0c906f67e215b8954e85671

Observation 14f6d0e6-7052-46fc-aec1-dc3f3c0147d4 · outbound

This paper cites ACM Trans.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels ACM Trans

Reference 89

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source=arxiv_source observed=2026-08-01T16:49:46.337497Z digest=sha256:187ed97b356fdafa31400244ae87a50de28055e6716adca14397a766d958a27f

Observation b733b0b2-cd44-49b2-bf57-c7b4a4015272 · outbound

This paper cites Salas and Einar Hille.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Salas and Einar Hille

Reference 90

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no resolver link, observed 2026-08-01T16:49:46.341589Z

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source=arxiv_source observed=2026-08-01T16:49:46.341589Z digest=sha256:37457f4382614128ca9e1d9825aab3106809762f30223adbe48aa8ac3e49b039

Observation 973d75dd-aa1d-45f1-9e19-2ac8ec311a22 · outbound

This paper cites Publication quality tables in.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Publication quality tables in

Reference 91

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no resolver link, observed 2026-08-01T16:49:46.344766Z

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source=arxiv_source observed=2026-08-01T16:49:46.344766Z digest=sha256:19b7565daea247a8e8f680a3ead0bfbc261b9ff6ddc686c97b96dfb56bc9c39c

Observation 918dc0f7-2287-462c-9902-cda4e0640899 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 92

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source=arxiv_source observed=2026-08-01T16:49:46.348085Z digest=sha256:8209661ab3921170a3a885be2d125192851e28ba95d72e64bff651dac492f0a5

Observation baa323aa-a962-400e-a5d8-5d5cf0828b06 · outbound

This paper cites 2019 , url =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels 2019 , url =

Reference 93

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source=arxiv_source observed=2026-08-01T16:49:46.351047Z digest=sha256:873f67cc9c035550deced3140f90240f5234fcdf2d1f1660e8da8186f9ca4398

Observation aae2d0e3-f1bd-498d-8d47-9dfcb6165b59 · outbound

This paper cites an unresolved cited work.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Unresolved cited work

Reference 94

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no resolver link, observed 2026-08-01T16:49:46.353897Z

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source=arxiv_source observed=2026-08-01T16:49:46.353897Z digest=sha256:18ac6d3190bf61e235b23f003d66303ad41352dfbdd14fd926e83f800478c84c

Observation bb7a0f11-796e-4c94-8294-c9955cf32ac5 · outbound

This paper cites Brad and Haunschild, Robin , title =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Brad and Haunschild, Robin , title =

Reference 95

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no resolver link, observed 2026-08-01T16:49:46.357010Z

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source=arxiv_source observed=2026-08-01T16:49:46.357010Z digest=sha256:98f0c8f540bdcaf24ac6c6f5fddc2fadaf6b12773b0fae8759206abfb4a4363e

Observation 3e56c2b1-4bb9-4ef6-816c-ca2617ee7011 · outbound

This paper cites 2014 , archivePrefix =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels 2014 , archivePrefix =

Reference 96

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source=arxiv_source observed=2026-08-01T16:49:46.360176Z digest=sha256:53f98f0ba0e2e819919b1a7a6a7e15fc38c227d2e99fc9d4a27939e9367d6aca

Observation 4735c551-ef4c-4ee8-b964-5a1fbbfe6c84 · outbound

This paper cites Proceedings of the 20th International Colloquium on Automata, Languages and Programming , series =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Proceedings of the 20th International Colloquium on Automata, Languages and Programming , series =

Reference 97

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no resolver link, observed 2026-08-01T16:49:46.363353Z

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source=arxiv_source observed=2026-08-01T16:49:46.363353Z digest=sha256:a8c25558e9ac67b4be3249f7bd48e5d94ad803d7e0925250e32aa02c86f5d324

Observation cb370abe-33d5-4a51-a08d-a88685ade853 · outbound

This paper cites FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence , booktitle =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence , booktitle =

Reference 98

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no resolver link, observed 2026-08-01T16:49:46.367185Z

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source=arxiv_source observed=2026-08-01T16:49:46.367185Z digest=sha256:1a7f1df099224073f3b6aaef71ed5df1ee737d633cb6de42753c1c1f3bf3d121

Observation de078f01-a2aa-4ae2-bf84-4818af65aaca · outbound

This paper cites Journal of Machine Learning Research , year=.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Journal of Machine Learning Research , year=

Reference 99

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no resolver link, observed 2026-08-01T16:49:46.371023Z

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source=arxiv_source observed=2026-08-01T16:49:46.371023Z digest=sha256:4c4c2decb426795892e9f0c6354e20bd0b57c26cada91f3e02b29456db6c208b

Observation 676658d4-da70-4545-950d-4581705f3d68 · outbound

This paper cites Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification

Reference 100

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no resolver link, observed 2026-08-01T16:49:46.375996Z

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source=arxiv_source observed=2026-08-01T16:49:46.375996Z digest=sha256:b8e0ec887e0a2007628568eb85e194e3c0376c05ab1e7993ea1b347ebc691504

Observation c3d20348-184a-4862-bd72-c6da0b36d1e4 · outbound

This paper cites Structure and Interpretation of Computer Programs.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Structure and Interpretation of Computer Programs

Reference 101

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no resolver link, observed 2026-08-01T16:49:46.379489Z

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source=arxiv_source observed=2026-08-01T16:49:46.379489Z digest=sha256:7b223c738e9ecd83b2fec3c5a67d95ea11e7ef865c4690d51eeb4ff12362d0b0

Observation a253bc45-968a-4235-98c7-51ec0c23b1e1 · outbound

This paper cites Robust Learning Against Label Noise Based on Activation Trend Tracking , year=.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Robust Learning Against Label Noise Based on Activation Trend Tracking , year=

Reference 102

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no resolver link, observed 2026-08-01T16:49:46.382682Z

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source=arxiv_source observed=2026-08-01T16:49:46.382682Z digest=sha256:adbf550e88fc2adaaaad3e4a4f8f003a7366eba80b3925b96dbc06268d7955d8

Observation 557eea03-a56a-404b-9106-aa166eed8531 · outbound

This paper cites Li , editor =.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Li , editor =

Reference 103

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no resolver link, observed 2026-08-01T16:49:46.386341Z

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source=arxiv_source observed=2026-08-01T16:49:46.386341Z digest=sha256:4b913032f5486a0add3a18d89d3aea1ce21f109002823951c3fc18180c0e27f8

Observation 524b21c8-0672-4739-9a29-67fc5bf6659f · outbound

This paper cites Adaptive Sample Selection for Robust Learning under Label Noise.

Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels Adaptive Sample Selection for Robust Learning under Label Noise

Reference 104

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no resolver link, observed 2026-08-01T16:49:46.389575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:49:46.389575Z digest=sha256:945d9eb75b34c218b98d8f10d6d29696d8c0a2cff08dcce1ba173ff27cd4ca5d

Pith citing papers

No inbound Pith citation observations are available.