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Paper Citation Record · LEDGER

Is Spurious Correlation Removal Always Learnable?

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.12930.

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

pith.paper-citation-record.v1
2606.12930 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:12:13.693405Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

40 of 40 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4d52d11-ee71-460b-aa9c-096860276d60 · outbound

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

Is Spurious Correlation Removal Always Learnable? International Conference on Learning Representations , year =

Reference 1

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:5ff7131939768bec22e9dc127eb6351fcb2d4db0790aab948e52f25c4cde18ac

Observation f18f6f08-da3f-4bde-8710-72b52ee58c47 · outbound

This paper cites , journal =.

Is Spurious Correlation Removal Always Learnable? , journal =

Reference 3

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:d6a23450b3061eba3e772a28f109f274ca11761e8027d9bf280d1c29d662780e

Observation e9dcc68f-2694-4f17-9165-c8c14f08ddfe · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the 38th International Conference on Machine Learning , series =

Reference 4

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:568b9aed25289567b5ccb73a63e8dc5b8d00121d34e13f9bf98039233ed73ec7

Observation 3bf0fa38-aa43-410a-949e-3917efc174a7 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the 38th International Conference on Machine Learning , series =

Reference 7

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:9d1d19c71fdfea94d4f1be139aa349357ff140b4fdf4ab0faf083a578bfba7dd

Observation e1685015-6275-46e9-a59e-c0cbc2cc16f6 · outbound

This paper cites Proceedings of The 24th International Conference on Artificial Intelligence and Statistics , series =.

Is Spurious Correlation Removal Always Learnable? Proceedings of The 24th International Conference on Artificial Intelligence and Statistics , series =

Reference 8

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:6133bea6ee529c65362d7337b5cbc40207e9cf27dcbe29fbd3fc7b7538770952

Observation 5bafb939-f4dd-43be-a538-6454529a1b1f · outbound

This paper cites Proceedings of the 30th Conference on Learning Theory , series =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the 30th Conference on Learning Theory , series =

Reference 9

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:f7584760d0527e9e61ffe594dca5bb214ab9437c8fbc45be8e159ba402761f95

Observation 95481f60-52f9-4c6e-9b14-5431d46b6086 · outbound

This paper cites Banach Center Publications , volume =.

Is Spurious Correlation Removal Always Learnable? Banach Center Publications , volume =

Reference 10

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verified exact
doi, observed 2026-06-27T07:30:41.560674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:15b59eb12d2619f1d1f05caf37fa01f5f960f2e277fd2a533e9ff7d2b5980a42

Observation b325a1a1-c182-49e1-b386-af1c1e5948a5 · outbound

This paper cites Random Structures & Algorithms , volume =.

Is Spurious Correlation Removal Always Learnable? Random Structures & Algorithms , volume =

Reference 11

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:5342713e7c8f877017801d36e40c77254a33d55dde8e7bec3bb6a16847f0568d

Observation ae569df0-3bcc-41f7-81f4-0e620fe764b2 · outbound

This paper cites Random Structures & Algorithms , volume =.

Is Spurious Correlation Removal Always Learnable? Random Structures & Algorithms , volume =

Reference 12

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:9b4e126ecb14e7ebf29ee591bd94956bd04adb22313f8b56c7dbe2e8c9ed7ef3

Observation 0d082006-b3e4-4952-b821-3f53ef078d7d · outbound

This paper cites Random Structures & Algorithms , volume =.

Is Spurious Correlation Removal Always Learnable? Random Structures & Algorithms , volume =

Reference 13

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:f5e41c329e1aff60f902be6234e016c19bde2a222795c767867d5e1ba111d746

Observation 07a8f029-56b0-439c-93a2-cfc9866482ec · outbound

This paper cites Proceedings of the 26th Annual Conference on Learning Theory , pages =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the 26th Annual Conference on Learning Theory , pages =

Reference 14

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:736b6f87a714675e11020df9ad74b23999b0b07e54842eee04c302b8cb718464

Observation 5bcf376c-8e20-4adb-b73f-69a98ecd678a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 15

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:0fb3e3f4a07a0193696c2bc080735eae8d110ae57550370fdf72d2608ad9878c

Observation 5a924ef5-a753-4914-be0b-fdf5260324d7 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

Is Spurious Correlation Removal Always Learnable? Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 16

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:9eb9aed3081703ed7d739064a971bb19cee5715dbf5e7b1b6d9f9d8c49646c0c

Observation 2828afe0-5c98-44a7-8ada-ee2a3ae781f8 · outbound

This paper cites International Journal of Computer Vision , volume =.

Is Spurious Correlation Removal Always Learnable? International Journal of Computer Vision , volume =

Reference 18

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:6af977e1491f6e8c26f4757bb971bc558f75e1217d3553595614506ccb4da53f

Observation 6daeaf12-e9a6-4abd-bf72-34420d17af3a · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =.

Is Spurious Correlation Removal Always Learnable? IEEE Transactions on Pattern Analysis and Machine Intelligence , volume =

Reference 19

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:c9d4647fa05fdde20a32dff7e8c492d7dcf2159c42e0156296acf9efba276696

Observation 25b4ee66-2ce9-4038-969e-4a015254a6b8 · outbound

This paper cites Neural Networks , pages=.

Is Spurious Correlation Removal Always Learnable? Neural Networks , pages=

Reference 20

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:a317993b6c578f09d9e574d05d54ef20be10df016731dad09af0731f3e0c15f5

Observation 40afb023-d1d8-417f-b3f4-11fe66a13a0c · outbound

This paper cites IEEE Transactions on Industrial Informatics , volume=.

Is Spurious Correlation Removal Always Learnable? IEEE Transactions on Industrial Informatics , volume=

Reference 21

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:748bf41bd6d5e4f60ed671fe30be4e344e17a95ba6d9f81da17236b00a12adae

Observation 6530e266-76cb-440e-8bcc-382ea094a760 · outbound

This paper cites IEEE Transactions on Image Processing , year=.

Is Spurious Correlation Removal Always Learnable? IEEE Transactions on Image Processing , year=

Reference 22

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:45d59f69939d8d0f62f6d9dec91aab03b862955fc91afae9a744d4b3b6c5ecab

Observation cd77cedf-88a0-494d-a0ae-e5c3795eecb7 · outbound

This paper cites IEEE Transactions on Instrumentation and Measurement , volume=.

Is Spurious Correlation Removal Always Learnable? IEEE Transactions on Instrumentation and Measurement , volume=

Reference 23

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Observation 109bae9a-81ae-4568-b619-e88707fe0d5d · outbound

This paper cites Journal of Intelligent & Fuzzy Systems , volume=.

Is Spurious Correlation Removal Always Learnable? Journal of Intelligent & Fuzzy Systems , volume=

Reference 24

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:0a0d26b6da2d92b810cfb2d0df74372150f0334c35c46e006b0d6c8f29809008

Observation 28e6a129-d7a5-4ec2-95bb-471446be3dc2 · outbound

This paper cites Random Structures Algorithms , FJOURNAL =.

Is Spurious Correlation Removal Always Learnable? Random Structures Algorithms , FJOURNAL =

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9e900123-36aa-4af0-be4d-82610db2c09c · outbound

This paper cites Invariant Risk Minimization.

Is Spurious Correlation Removal Always Learnable? Invariant Risk Minimization

Reference 26

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local_arxiv, observed 2026-07-03T14:08:22.165199Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 019a3118-891b-45c1-a5dd-b7099ed603e1 · outbound

This paper cites and Rigollet, P.

Is Spurious Correlation Removal Always Learnable? and Rigollet, P

Reference 27

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Observation d20c861c-7b4a-474c-b5bf-ea6b6bc23e8e · outbound

This paper cites Random Structures Algorithms , FJOURNAL =.

Is Spurious Correlation Removal Always Learnable? Random Structures Algorithms , FJOURNAL =

Reference 28

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doi, observed 2026-06-27T07:30:41.562201Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:0353ee1fc7fab363f6e7ce9ac6de74ae9d1d702d86e7f1544016dc0fe8ff9298

Observation 626685a1-76d2-4968-8429-3a9dce0a8cb6 · outbound

This paper cites In Search of Lost Domain Generalization.

Is Spurious Correlation Removal Always Learnable? In Search of Lost Domain Generalization

Reference 29

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arxiv_id, observed 2026-07-03T14:08:22.170289Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:757eebe54e6490d321e12a85bb5ed082dc67521727bec64e4169cecf6366b67e

Observation a67a76dd-68d1-4edf-825e-df1eaa351332 · outbound

This paper cites Large Cliques Elude the.

Is Spurious Correlation Removal Always Learnable? Large Cliques Elude the

Reference 30

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:051665794f4fe3e428b8c28f06942a80df9ee1fad43902495a8b43d17eefd85f

Observation f7dbe375-fdf8-42bd-9739-9b47d2c3e6d7 · outbound

This paper cites W., Sagawa, S., Marklund, H., Xie, S.

Is Spurious Correlation Removal Always Learnable? W., Sagawa, S., Marklund, H., Xie, S

Reference 31

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Observation 7b3b08c7-8328-4236-af1f-ea0828a970e6 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex).

Is Spurious Correlation Removal Always Learnable? Out-of-distribution generalization via risk extrapolation (rex)

Reference 32

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:3fe9e459a31dedb1d239201c827f278bde55d7e3c94b8a6e31a0b890e03628b2

Observation ba7fb298-66b5-4db0-9581-648886179a8a · outbound

This paper cites The Risks of Invariant Risk Minimization.

Is Spurious Correlation Removal Always Learnable? The Risks of Invariant Risk Minimization

Reference 33

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arxiv_id, observed 2026-07-03T14:08:22.167722Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:5f4107e84c3bc8e153d1c29dc25f04a32be6e1e5ac6e4e680c53cc85ad843334

Observation 0539399a-aefe-448f-b09e-d09da2367dc9 · outbound

This paper cites W., Hashimoto, T.

Is Spurious Correlation Removal Always Learnable? W., Hashimoto, T

Reference 34

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Observation 41419919-e55f-4201-804f-4c522b604dfc · outbound

This paper cites and Hu, H.-M.

Is Spurious Correlation Removal Always Learnable? and Hu, H.-M

Reference 35

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:1c3ea9056c44d75c1a7ad1450f0e2d0f61a05a7a12a2a71dc7534a970cab9644

Observation bd81a4c6-61c5-4510-bd15-b67529413500 · outbound

This paper cites Jrcc-net: A segmentation network with joint representation and contrast clustering for surface anomaly detection.

Is Spurious Correlation Removal Always Learnable? Jrcc-net: A segmentation network with joint representation and contrast clustering for surface anomaly detection

Reference 36

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:8e973b162f270828d42549b59ab853b26861ec2ea7a13861599b7587d66dc3b5

Observation a893c176-d6e4-4176-aff8-c4a834d74283 · outbound

This paper cites Mffa: Multi-level feature fusion and anomaly map compensation for anomaly detection.

Is Spurious Correlation Removal Always Learnable? Mffa: Multi-level feature fusion and anomaly map compensation for anomaly detection

Reference 37

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:31ca70ab9327974116ca3e3b59b81cb6c9da0221c56166aad17f6a58c34488b5

Observation e6adbb32-464b-4606-a9ab-d2ae10cee336 · outbound

This paper cites Dual-constraint autoencoder and adaptive weighted similarity spatial attention for unsupervised anomaly detection.

Is Spurious Correlation Removal Always Learnable? Dual-constraint autoencoder and adaptive weighted similarity spatial attention for unsupervised anomaly detection

Reference 38

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:b89590bff85fb0f9ef39c1e1d3eb2345424c0e0cdf2058f14db270ea2dda3495

Observation cb3d5907-277f-4fac-b5d6-e527aba155e9 · outbound

This paper cites and Hu, H.-M.

Is Spurious Correlation Removal Always Learnable? and Hu, H.-M

Reference 39

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:2911fe75e10fcc4a314424bb943572c6cf09b3b250667bcf04bac17c26aa6f49

Observation 943e7857-a991-4a22-b46a-59c089c886f6 · outbound

This paper cites Rethinking reconstruction autoencoder-based out-of-distribution detection.

Is Spurious Correlation Removal Always Learnable? Rethinking reconstruction autoencoder-based out-of-distribution detection

Reference 40

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:5b129372f257d7511da6f9009e9b3f3bbbcf32800466425367dcc340311a3fb2

Observation 1327dd0a-4444-42cf-99ef-ffc1e263d497 · outbound

This paper cites A solution to co-occurence bias: Attributes disentanglement via mutual information minimization for pedestrian attribute recognition.

Is Spurious Correlation Removal Always Learnable? A solution to co-occurence bias: Attributes disentanglement via mutual information minimization for pedestrian attribute recognition

Reference 41

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verified exact
doi, observed 2026-06-27T07:30:41.559037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:532442e29d95c526d1d2ec983023074b20d332e8b2af81ecbf72987fc0bc4ab3

Observation 8e6d92e7-c883-4909-a32f-fa1a32423c5a · outbound

This paper cites Pedestrian attribute recognition as label-balanced multi-label learning.

Is Spurious Correlation Removal Always Learnable? Pedestrian attribute recognition as label-balanced multi-label learning

Reference 42

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source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:abb003e6cad7fa5cbcd512e8c3192483c5c363d942bb62774c0baa47f4dbe95e

Observation b9b4bdd7-6f07-4f02-b2ca-48b2f63db179 · outbound

This paper cites A solution to co-occurrence bias in pedestrian attribute recognition: Theory, algorithms, and improvements.

Is Spurious Correlation Removal Always Learnable? A solution to co-occurrence bias in pedestrian attribute recognition: Theory, algorithms, and improvements

Reference 43

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verified exact
doi, observed 2026-06-27T07:30:41.555482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:9ca7a7c5be21bca5479104c7ccffd6684026adcf0ae95f669c5c1b2bb6ea4960

Observation 14d07331-9925-445a-a1c8-2b2fb1797d00 · outbound

This paper cites Heterogeneous feature re-sampling for balanced pedestrian attribute recognition.

Is Spurious Correlation Removal Always Learnable? Heterogeneous feature re-sampling for balanced pedestrian attribute recognition

Reference 44

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arxiv_id, observed 2026-06-27T07:30:41.564808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:354b28bf1a17214d0535eca7b2735c31a429cbd367552dd027b87c44960ea8e3

Pith citing papers

No inbound Pith citation observations are available.