Paper Citation Record · LEDGER

Salient ImageNet: How to discover spurious features in Deep Learning?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.04301.

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

pith.paper-citation-record.v1
2110.04301 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:50:43.760875Z

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

20
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 df05d2f8-a6bc-41ec-99ff-812450ddf684 · inbound

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation cites this paper.

Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T22:50:43.760875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945a2a45-89ff-4c26-a00d-cfe74713465d · inbound

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation cites this paper.

SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T22:46:43.463517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9746d7fc-bd35-4bc3-a4b3-9309a1f9565c · inbound

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

Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T10:31:37.401626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5c6c1a-0c5f-4ed8-9154-83ef9facc99e · inbound

UNBOX: Unveiling Black-box visual models with Natural-language cites this paper.

UNBOX: Unveiling Black-box visual models with Natural-language Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:30:03.679405Z

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.

Observation 3e9cb08c-f2ab-4bf2-92f2-e8720a2eca40 · 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 Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:32:24.294535Z

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.

Observation 0ed6e474-ceec-4f60-b44e-5ebfec08731b · inbound

MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space cites this paper.

MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:34:00.709753Z

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.

Observation 28f74321-e10c-4112-b90a-c1d251dbaef9 · inbound

Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations cites this paper.

Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:29:41.857670Z

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.

Observation 1a836f1d-e184-4d68-a635-3f3cbc1d8927 · inbound

TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment cites this paper.

TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment Salient ImageNet: How to discover spurious features in Deep Learning?

Reference 218

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:10.108212Z

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.