Pith. sign in

Paper Citation Record · LEDGER

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2204.02937.

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

pith.paper-citation-record.v1
2204.02937 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:03:48.840262Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

32
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1c465ca-ab61-4d0d-9425-23d895346967 · inbound

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models cites this paper.

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:15:10.709470Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-13T13:15:10.632115Z digest=sha256:987150a8db11ccbeacb6dba2bd6715c5f84c6d7fe2b75ec680eafedf8b26d423

Observation d728828d-7b82-47ae-80ac-8fa967289515 · inbound

Subgroups Matter for Robust Bias Mitigation cites this paper.

Subgroups Matter for Robust Bias Mitigation Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:42:11.645412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:42:11.645412Z digest=sha256:180a2ee339d2eae64617668e784958e703e06b97c6f239aad8c8fbbe6437e40b

Observation 5c1d5ddb-ffef-4e49-ba23-e22ea4c991ac · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:26.416008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:26.416008Z digest=sha256:e899df98fe00a2df9826f5e137accc75ed923f9fcdf0f98c6e8a6d0156d14cf3

Observation f92f44b3-f51a-4f17-b430-c699c9f4178f · inbound

Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models cites this paper.

Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:59.251546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:59.251546Z digest=sha256:08ab1c2715ec5f52d76ab7d226d0d4367311d4916419be99c904c1f4607a64c5

Observation 23084aa8-cc08-4ac3-870c-40ca2241d5f6 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:49.459304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:49.459304Z digest=sha256:3abd3ecf9d037b4ad52f7a766d245a0e36613066ca8b50a4dec01767cd27d37b

Observation 9252e468-db99-46b5-8987-34649c7989e2 · inbound

Machine Learning from Explanations cites this paper.

Machine Learning from Explanations Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:34.536670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:34.536670Z digest=sha256:2524bf0deb45cbc484a3f831e09f575cda80ed399ee26bec0b072b8de7afc417

Observation 978a034f-fdfb-47d4-980d-96a225912dde · inbound

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation cites this paper.

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T13:47:59.430756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:47:59.430756Z digest=sha256:d5ba10179765779c4b18260e29e0bccf42bffb048470ddf5b260e03e01bb181f

Observation 50253efa-ba7d-4bab-8dad-bb8e200e535c · inbound

AIM: Amending Inherent Interpretability via Self-Supervised Masking cites this paper.

AIM: Amending Inherent Interpretability via Self-Supervised Masking Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 132

Resolution
unresolved
no resolver link, observed 2026-08-05T19:54:24.932254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:54:24.932254Z digest=sha256:54b7de9192d2e85f1cfc7b3c9580502c7520ac8707746d113c6ad1e6702d2d20

Observation ea89e0f6-672e-4fd9-9bf9-ef3763144903 · inbound

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding cites this paper.

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T10:31:37.280179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:31:37.280179Z digest=sha256:5869c587eab8326c640aa2fe7c2738c8577d5fb54a2a5dc8e2bbc304d60ea8d9

Observation 80dd127e-5d62-4434-8a66-b38623541b61 · inbound

Spatially Grounded Concept-Based Image Classification cites this paper.

Spatially Grounded Concept-Based Image Classification Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T11:32:49.140410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:32:49.140410Z digest=sha256:f3eccd7bb6135fcd621ea2e97041748b3dceb83ae1d5333cdbd04f93b2f122e8

Observation 047898dd-508b-4009-980c-3c8219aceff3 · inbound

Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study cites this paper.

Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.501651Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-15T21:57:43.357044Z digest=sha256:14d6b3a189c1be29d6a8107c6d3dc999512b4c67a92bb817f47deb8d1753a6a5

Observation 8527145e-ce84-454f-b75e-9958f5e16828 · inbound

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs cites this paper.

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:27:29.731462Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-13T07:26:02.947081Z digest=sha256:1cff15fd2474e15c1f8b1723eed2e0d6244ba459054d57775da233ae58a61f7d

Observation 1a02dbed-b623-4f34-bafd-646bdd0cc3af · inbound

Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training cites this paper.

Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:32:24.300764Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-13T06:30:51.812541Z digest=sha256:8b548b72823d9a246f526aa3ec92a0fbe87600804cbe3044a3d3067b50bb0b5f

Observation 2a2745b6-497b-464a-ae5d-5cd79e01c086 · inbound

DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift cites this paper.

DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:17:05.837072Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-13T02:12:54.796350Z digest=sha256:3dcddec8254aa5f0c58f227a8497ec3b35200994629c1d0b1d8545b6963afb52

Observation ffa607d5-0824-420b-9e53-3e3433d83300 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:21.333676Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-22T09:38:04.387777Z digest=sha256:14a72bae579e996c82b1385e877941d32bcbcaedc45d52d8d7f812b53fae2681

Observation b8917efa-e05b-4035-a824-ff43f00e9953 · inbound

Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing cites this paper.

Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.508156Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T15:46:49.474351Z digest=sha256:a7eca9810d8864ea8c136d401d2e730e853283b183fc3f1af34265c299dbdcfd

Observation 467a51d2-3304-4194-98a2-cf2fd1e92bdf · inbound

$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones cites this paper.

$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.770696Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T11:14:47.182429Z digest=sha256:574a1b5923f751396c7639b6a66273cb3aa35430c1e66684cbf690164dab4ec2

Observation f53c58ae-a16c-46d4-aeff-f43ad3865b0d · inbound

Fair Cognitive Impairment Detection Through Unlearning cites this paper.

Fair Cognitive Impairment Detection Through Unlearning Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:39:03.321924Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T22:02:22.551551Z digest=sha256:00189595504f4b5eeede2740f1e373bb2bd5b55400371cbaf92a95ab1c0274f5

Observation 9975868f-b9c7-4283-8970-0a4e4afcb43e · inbound

Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement cites this paper.

Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:59:57.158049Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T01:06:54.997176Z digest=sha256:d93e32d9f982371bedc1af948ec854a9b03e7939026f555d555cad7008ce96c5

Observation b0044132-bc23-4deb-a5fd-c702af519742 · inbound

Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging cites this paper.

Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T05:24:57.033007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:24:57.033007Z digest=sha256:69732bd10fc2738b0b1bf04c11eb2b50df46cb2df038d04a7fb0a801dab2e83e

Observation fba6afec-f057-4d1f-a089-a0f1e2f49260 · inbound

Adapting Vision Foundation Models with Cascaded Semantics cites this paper.

Adapting Vision Foundation Models with Cascaded Semantics Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T14:03:48.840262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:03:48.840262Z digest=sha256:4c5dbb68f2b2e3412ceb70fee407373bfe5401082fb04a3b229163aac3f464a8