Paper Citation Record · LEDGER

Locality-aware Concept Bottleneck Model

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2508.14562.

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

pith.paper-citation-record.v1
2508.14562 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:30:42.004466Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:27:56.163337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:43.827780Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy34
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bcd1d02-8ee3-41df-b7d7-463a1e724415 · outbound

This paper cites GPT-4 Technical Report.

Locality-aware Concept Bottleneck Model GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:37.213602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf1d83f-2877-475f-9492-09a79a4640ec · outbound

This paper cites Show and tell: Visually explainable deep neural nets via spatially-aware concept bot- tleneck models.

Locality-aware Concept Bottleneck Model Show and tell: Visually explainable deep neural nets via spatially-aware concept bot- tleneck models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:49.186195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb2ac397-3745-48fd-aa08-0171fa4c8926 · outbound

This paper cites This looks like that: deep learn- ing for interpretable image recognition.

Locality-aware Concept Bottleneck Model This looks like that: deep learn- ing for interpretable image recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:49.076839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53fd5439-fb4c-44c8-ac62-cd65b3eea7be · outbound

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

Locality-aware Concept Bottleneck Model Imagenet: A large-scale hierarchical image database

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.947441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18b43169-b1b7-43dc-b653-895150b792e0 · outbound

This paper cites Counterfactual Concept Bottleneck Models.

Locality-aware Concept Bottleneck Model Counterfactual Concept Bottleneck Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:37.694141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054ae288-e607-4713-afc1-c3ec0d5f7485 · outbound

This paper cites Concept embedding mod- els: Beyond the accuracy-explainability trade-off.

Locality-aware Concept Bottleneck Model Concept embedding mod- els: Beyond the accuracy-explainability trade-off

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.822847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b201b46-3a12-4288-88bc-3c3f9e3a12e2 · outbound

This paper cites Evaluating deep neural networks trained on clinical images in dermatology with the fitzpatrick 17k dataset.

Locality-aware Concept Bottleneck Model Evaluating deep neural networks trained on clinical images in dermatology with the fitzpatrick 17k dataset

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.690797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41f9e575-5097-4333-8618-447d23d6fc1a · outbound

This paper cites Deep residual learning for image recognition.

Locality-aware Concept Bottleneck Model Deep residual learning for image recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.528550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 619fcbdc-4867-4297-a7bc-c6ce8b726a97 · outbound

This paper cites On the concept trustworthiness in concept bottleneck models.

Locality-aware Concept Bottleneck Model On the concept trustworthiness in concept bottleneck models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.351038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6deab2f4-0302-405d-bbe2-b8d8e8dfb2a8 · outbound

This paper cites Selecmix: Debiased learning by contradicting-pair sampling.

Locality-aware Concept Bottleneck Model Selecmix: Debiased learning by contradicting-pair sampling

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.198597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09e50a46-0067-457b-a1aa-e64b7822fed3 · outbound

This paper cites From black-box to causal-box: Towards building more inter- pretable models.

Locality-aware Concept Bottleneck Model From black-box to causal-box: Towards building more inter- pretable models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:48.037909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 116a7f83-14d8-425c-9ed2-a060ecb0643d · outbound

This paper cites Probabilistic concept bottleneck models.

Locality-aware Concept Bottleneck Model Probabilistic concept bottleneck models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:47.854666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4dc7f710-af49-4161-8e58-0426d276cda2 · outbound

This paper cites Towards causal representation learning with observable sources as auxiliaries.

Locality-aware Concept Bottleneck Model Towards causal representation learning with observable sources as auxiliaries

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:47.685622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7314b37c-8775-4571-ab2d-32b7c3459b73 · outbound

This paper cites Segment any- thing.

Locality-aware Concept Bottleneck Model Segment any- thing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:47.519176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb1253b8-7a2a-423e-ad16-3b82179f4409 · outbound

This paper cites Concept bottleneck models.

Locality-aware Concept Bottleneck Model Concept bottleneck models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:47.370022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a71bf789-d3d4-40c8-a4b7-8fd9ad493bc0 · outbound

This paper cites 3d object representations for fine-grained categorization.

Locality-aware Concept Bottleneck Model 3d object representations for fine-grained categorization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:47.190833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65cf6f36-1d45-45a0-8a5a-6613a4605542 · outbound

This paper cites Faithful vision-language interpretation via concept bottleneck models.

Locality-aware Concept Bottleneck Model Faithful vision-language interpretation via concept bottleneck models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.991631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1cca5d96-1a1b-4a4a-93c3-1612f093e919 · outbound

This paper cites Learning geometry- aware representations by sketching.

Locality-aware Concept Bottleneck Model Learning geometry- aware representations by sketching

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.801867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48759220-28f2-4c5e-9e56-dc6ffc0ae0c6 · outbound

This paper cites Improving robustness to texture bias via shape- focused augmentation.

Locality-aware Concept Bottleneck Model Improving robustness to texture bias via shape- focused augmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.598076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c5945c7-96c7-478b-93fa-2317c970194a · outbound

This paper cites Dynamic computational time for visual attention.

Locality-aware Concept Bottleneck Model Dynamic computational time for visual attention

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.393869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 769fe75a-056e-40f2-8d42-e8a22adc100e · outbound

This paper cites Decoupled weight de- cay regularization.

Locality-aware Concept Bottleneck Model Decoupled weight de- cay regularization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.184192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation adcaa06d-422a-467e-bcb8-6372b87bb53f · outbound

This paper cites This looks like those: Illuminating prototypical con- cepts using multiple visualizations.

Locality-aware Concept Bottleneck Model This looks like those: Illuminating prototypical con- cepts using multiple visualizations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:46.026261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43c59fee-d4cb-44c9-98ec-edf8e99bd2a8 · outbound

This paper cites Do Concept Bottleneck Models Learn as Intended?.

Locality-aware Concept Bottleneck Model Do Concept Bottleneck Models Learn as Intended?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:39.807479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283a455b-d447-4184-8517-e03b137caf7a · outbound

This paper cites Pip-net: Patch-based intuitive prototypes for interpretable image classification.

Locality-aware Concept Bottleneck Model Pip-net: Patch-based intuitive prototypes for interpretable image classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:45.822636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00074939-6dce-44b7-b609-d624e260071f · outbound

This paper cites Nguyen, and Tsui- Wei Weng.

Locality-aware Concept Bottleneck Model Nguyen, and Tsui- Wei Weng

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:45.627594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6ea79f4a-fb29-45c2-89d2-af17bbbc1299 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Locality-aware Concept Bottleneck Model Learning transferable visual models from natural language supervi- sion

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:45.411693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8e0d106-5048-42f6-807b-55530c7b8566 · outbound

This paper cites From causal to concept-based representation learning.

Locality-aware Concept Bottleneck Model From causal to concept-based representation learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:45.251064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c589713e-b4ea-43ba-86ca-9ba41f28bb9e · outbound

This paper cites Do concept bottleneck models obey local- ity?, 2024.

Locality-aware Concept Bottleneck Model Do concept bottleneck models obey local- ity?, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:45.004091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5791128-7c42-4384-ac5b-dff15625d024 · outbound

This paper cites Toward causal representation learning.Pro- ceedings of the IEEE, 109(5):612–634, 2021.

Locality-aware Concept Bottleneck Model Toward causal representation learning.Pro- ceedings of the IEEE, 109(5):612–634, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:44.841080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15c0bc35-2760-48c9-8fbd-5cb8ccf5d7d0 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Locality-aware Concept Bottleneck Model Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:40.623908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165cb0ff-ae40-4c77-968a-78278d06b2a1 · outbound

This paper cites Incremental residual con- cept bottleneck models.

Locality-aware Concept Bottleneck Model Incremental residual con- cept bottleneck models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:44.643024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 558bfb63-0cbc-4e14-bc68-bba2ca1a6375 · outbound

This paper cites Auxiliary losses for learning generalizable concept-based models.

Locality-aware Concept Bottleneck Model Auxiliary losses for learning generalizable concept-based models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:44.404246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 473a7c66-be87-455c-86a6-b701e2d048fd · outbound

This paper cites A survey on image data augmentation for deep learning.

Locality-aware Concept Bottleneck Model A survey on image data augmentation for deep learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:44.127641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4375d996-4861-4a64-9703-a0b789332f08 · outbound

This paper cites VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance.

Locality-aware Concept Bottleneck Model VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T18:30:41.056067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbcca631-401d-4367-a25b-2e850279bc3f · outbound

This paper cites an unresolved cited work.

Locality-aware Concept Bottleneck Model Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:30:43.830088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b976b4cf-9ccb-466d-87ec-81714ee0d122 · outbound

This paper cites Energy-based concept bottleneck models: Unifying predic- tion, concept intervention, and probabilistic interpretations.

Locality-aware Concept Bottleneck Model Energy-based concept bottleneck models: Unifying predic- tion, concept intervention, and probabilistic interpretations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:43.598271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4af405b5-96f1-4020-ab39-25e428d77dd7 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

Locality-aware Concept Bottleneck Model Learning concise and descriptive attributes for visual recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:43.381962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 376d224b-7149-4b4c-80b7-2ec2375725c9 · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

Locality-aware Concept Bottleneck Model Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:43.067229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e0f1ff4-d8c6-4c35-930b-f76166a89ffe · outbound

This paper cites Post-hoc concept bottleneck models.

Locality-aware Concept Bottleneck Model Post-hoc concept bottleneck models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:42.743207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48578144-1bec-4e0f-9d4a-d1b4725264b7 · outbound

This paper cites 18 Figure 8.

Locality-aware Concept Bottleneck Model 18 Figure 8

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:30:42.380571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 580e45ac-cbc4-4d5a-a4fb-27292b0ef973 · inbound

Prototype-Grounded Concept Models for Verifiable Concept Alignment cites this paper.

Prototype-Grounded Concept Models for Verifiable Concept Alignment Locality-aware Concept Bottleneck Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:22:37.451723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1dba57d-caae-4026-8f34-1e0f66404f23 · inbound

Prototype-Grounded Concept Models for Verifiable Concept Alignment cites this paper.

Prototype-Grounded Concept Models for Verifiable Concept Alignment Locality-aware Concept Bottleneck Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:11:23.502691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 389a813c-9b92-47c9-bd1d-4a25641cfb39 · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models Locality-aware Concept Bottleneck Model

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:16:43.829228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.