Paper Citation Record · LEDGER

Spatially Grounded Concept-Based Image Classification

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2510.04180.

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

pith.paper-citation-record.v1
2510.04180 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:32:52.644764Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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verified fuzzy0
unresolved40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8b61b1c-3590-470e-be7a-3bb4d9539634 · outbound

This paper cites Show and tell: Visually explainable deep neural nets via spatially- aware concept bottleneck models.arXiv preprint arXiv:2502.20134, 2025.

Spatially Grounded Concept-Based Image Classification Show and tell: Visually explainable deep neural nets via spatially- aware concept bottleneck models.arXiv preprint arXiv:2502.20134, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.138112Z

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Unavailable: canonical work link unavailable.

Observation b29ba475-618b-4239-9316-c9bfc22fab78 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Spatially Grounded Concept-Based Image Classification Mechanistic Interpretability for AI Safety -- A Review

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.244743Z

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Observation 332e368a-ca71-44bb-b92e-2d479b32f309 · outbound

This paper cites Emerging properties in self-supervised vi- sion transformers.

Spatially Grounded Concept-Based Image Classification Emerging properties in self-supervised vi- sion transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.382897Z

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Observation 13086731-1638-458f-a4b8-d7d64a4f00bf · outbound

This paper cites Adaptive concept bottle- neck for foundation models.

Spatially Grounded Concept-Based Image Classification Adaptive concept bottle- neck for foundation models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.504750Z

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Observation 39175ec1-05b2-42b0-b18a-c50c3676f0b9 · outbound

This paper cites Environment inference for invariant learning.

Spatially Grounded Concept-Based Image Classification Environment inference for invariant learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.630135Z

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Observation fcac483d-1fee-47da-8b16-8ad3b7ee36d3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Spatially Grounded Concept-Based Image Classification Imagenet: A large-scale hierarchical image database

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.712297Z

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Observation b011ff95-a49b-4e59-a522-ee745d09d857 · outbound

This paper cites Coper: Correlation-based permutations for multi-view clustering.

Spatially Grounded Concept-Based Image Classification Coper: Correlation-based permutations for multi-view clustering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.833392Z

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Observation 5c0565e1-f45b-4bb4-9b4a-b4e960b5811f · outbound

This paper cites Benchmark- ing neural network robustness to common corruptions and perturbations.Proceedings of the International Conference on Learning Representations, 2019.

Spatially Grounded Concept-Based Image Classification Benchmark- ing neural network robustness to common corruptions and perturbations.Proceedings of the International Conference on Learning Representations, 2019

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:48.939773Z

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Observation 60a09b91-c6e0-45cf-9cb8-2b8fb8581e92 · outbound

This paper cites Attention-based deep multiple instance learning.

Spatially Grounded Concept-Based Image Classification Attention-based deep multiple instance learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.009335Z

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

This paper cites Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations.

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

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Observation befa9b47-3666-4c7c-9c19-1a5cb237101c · outbound

This paper cites Segment anything.

Spatially Grounded Concept-Based Image Classification Segment anything

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.213376Z

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Observation d208dc49-bc48-4c48-8d3b-2102ed7c5e68 · outbound

This paper cites Concept bottleneck models.

Spatially Grounded Concept-Based Image Classification Concept bottleneck models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.284747Z

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Observation 9bedd726-19e8-41b8-93f2-0a131832c45f · outbound

This paper cites Learning multiple layers of features from tiny images.

Spatially Grounded Concept-Based Image Classification Learning multiple layers of features from tiny images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.387969Z

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Observation 06ae7e71-d32b-4034-8f89-27a08851536e · outbound

This paper cites Learning coupled embedding using multiview diffu- sion maps.

Spatially Grounded Concept-Based Image Classification Learning coupled embedding using multiview diffu- sion maps

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.461799Z

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Observation f61c0d98-0f91-48ec-b2b8-ef430876adc3 · outbound

This paper cites Just train twice: Improving group robustness without training group information.

Spatially Grounded Concept-Based Image Classification Just train twice: Improving group robustness without training group information

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.614761Z

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Observation 48dac273-7d93-480a-ab4b-af7aa69639a5 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Spatially Grounded Concept-Based Image Classification Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.784745Z

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Observation c89dd352-238c-40e7-8b25-ea5e8279582a · outbound

This paper cites Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases.

Spatially Grounded Concept-Based Image Classification Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:49.831572Z

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Observation 8a8e11b7-14b9-4a45-b0ee-1409b0abe7ee · outbound

This paper cites Visual Classification via Description from Large Language Models.

Spatially Grounded Concept-Based Image Classification Visual Classification via Description from Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.004744Z

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Observation de097cd0-ea79-4b15-a37d-7dfc094e0206 · outbound

This paper cites Decompose-and- compose: A compositional approach to mitigating spurious correlation.

Spatially Grounded Concept-Based Image Classification Decompose-and- compose: A compositional approach to mitigating spurious correlation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.075937Z

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Observation b6213663-b596-4548-be6f-372b437d3399 · outbound

This paper cites Label-free concept bottleneck models.

Spatially Grounded Concept-Based Image Classification Label-free concept bottleneck models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.196983Z

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Observation 9f4f4fb6-0159-4248-bba6-2ebfa86b3e2c · outbound

This paper cites Sparse linear concept discovery models.

Spatially Grounded Concept-Based Image Classification Sparse linear concept discovery models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.327938Z

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Observation 6a97d39a-d2ce-4e1a-bfe8-21cb3ec7e47b · outbound

This paper cites DCBM: Data-efficient visual concept bottleneck models.

Spatially Grounded Concept-Based Image Classification DCBM: Data-efficient visual concept bottleneck models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.484426Z

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Observation 9006314f-d588-4e37-b5ad-4af5682dbe21 · outbound

This paper cites Simple and fast group robustness by automatic feature reweighting.

Spatially Grounded Concept-Based Image Classification Simple and fast group robustness by automatic feature reweighting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.551579Z

Source-reported events for the cited work

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Observation 3bf3d837-85bc-46f4-bb28-75fa6735dc4e · outbound

This paper cites Learning transferable visual models from natu- ral language supervision.

Spatially Grounded Concept-Based Image Classification Learning transferable visual models from natu- ral language supervision

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.662829Z

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Observation 29f52c56-5944-41f3-87ff-66f71ae7aa0b · outbound

This paper cites Discover-then-name: Task-agnostic concept bottlenecks via automated concept discovery.

Spatially Grounded Concept-Based Image Classification Discover-then-name: Task-agnostic concept bottlenecks via automated concept discovery

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.791314Z

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Observation 2343933f-62f6-4e64-9e54-596f2d15c421 · outbound

This paper cites Domain-generalizable multiple-domain clustering.Transactions on Machine Learning Re- search.

Spatially Grounded Concept-Based Image Classification Domain-generalizable multiple-domain clustering.Transactions on Machine Learning Re- search

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.877797Z

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Observation 2093d361-080d-4670-8961-a43293d73999 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Spatially Grounded Concept-Based Image Classification Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:50.982144Z

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Observation 7cc785b4-e0a4-49ee-b894-7dd998f75fa3 · outbound

This paper cites Multi-view kernel consensus for data analysis.Applied and Computational Harmonic Analysis, 49(1):208– 228, 2020.

Spatially Grounded Concept-Based Image Classification Multi-view kernel consensus for data analysis.Applied and Computational Harmonic Analysis, 49(1):208– 228, 2020

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.109271Z

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Observation 7b1d006f-dcd9-4585-9011-e0732e08dd34 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Spatially Grounded Concept-Based Image Classification Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.224744Z

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Observation b62c768e-6baa-43f5-9c2e-2f7e0a8cc559 · outbound

This paper cites Contextual feature selection with conditional stochastic gates.

Spatially Grounded Concept-Based Image Classification Contextual feature selection with conditional stochastic gates

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.306214Z

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Observation b2c00703-bc67-4f9e-a95f-9bfb832839a6 · outbound

This paper cites Interpretable deep clustering for tabular data.

Spatially Grounded Concept-Based Image Classification Interpretable deep clustering for tabular data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.404759Z

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Observation b1b88b3e-a530-471b-b91f-30c090ca7664 · outbound

This paper cites The caltech- ucsd birds-200-2011 dataset.

Spatially Grounded Concept-Based Image Classification The caltech- ucsd birds-200-2011 dataset

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.563056Z

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Observation d3c60d30-cb51-493d-ad59-8da59f61226d · outbound

This paper cites Discover and cure: Concept-aware miti- gation of spurious correlation.

Spatially Grounded Concept-Based Image Classification Discover and cure: Concept-aware miti- gation of spurious correlation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.669498Z

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Observation ce6c8622-a971-46eb-99c8-47d944c3cbea · outbound

This paper cites Locally sparse neural networks for tabular biomed- ical data.

Spatially Grounded Concept-Based Image Classification Locally sparse neural networks for tabular biomed- ical data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.771959Z

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Observation 8c7fac3e-2ae8-4203-9549-45b62938b6c3 · outbound

This paper cites Language in a bottle: Language model guided con- cept bottlenecks for interpretable image classifica- tion.

Spatially Grounded Concept-Based Image Classification Language in a bottle: Language model guided con- cept bottlenecks for interpretable image classifica- tion

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:51.949248Z

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Observation 1c160170-5af8-4def-88c4-cb3f5eea0d03 · outbound

This paper cites Post-hoc concept bottleneck models.

Spatially Grounded Concept-Based Image Classification Post-hoc concept bottleneck models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:52.122745Z

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Observation 679cd5f0-2962-4f2f-83ae-dd9318ded9ae · outbound

This paper cites Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations.

Spatially Grounded Concept-Based Image Classification Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:52.236551Z

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Observation 513cbbb2-1ac3-4912-970b-df8de000baaa · outbound

This paper cites Places: A 10 million image database for scene recognition.

Spatially Grounded Concept-Based Image Classification Places: A 10 million image database for scene recognition

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:52.409215Z

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Observation 0e10b357-49a8-4bb9-9c63-9fbebf0581a5 · outbound

This paper cites an unresolved cited work.

Spatially Grounded Concept-Based Image Classification Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:52.507569Z

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Observation 669c8ae1-57e3-4cdc-a2fb-578f9482d4d7 · outbound

This paper cites easy” and “hard.

Spatially Grounded Concept-Based Image Classification easy” and “hard

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T11:32:52.644764Z

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Pith citing papers

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