Paper Citation Record · LEDGER

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2412.14097.

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

pith.paper-citation-record.v1
2412.14097 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:35:00.616605Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:12:35.617577Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.857615Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy31
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e00b22a-50e4-460a-b8cd-d446d7734907 · outbound

This paper cites write newline.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.472657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79e0c6d1-5050-450f-85e6-c20d258daa41 · outbound

This paper cites Meaningfully debugging model mistakes using conceptual counterfactual explanations.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Meaningfully debugging model mistakes using conceptual counterfactual explanations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.072722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f15b561-1398-47d3-9846-4a447c220dd6 · outbound

This paper cites Debugging tests for model explanations.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Debugging tests for model explanations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.064993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a64ef1a4-cde3-4330-b57e-201f9b165ca1 · outbound

This paper cites Zero-shot robustification of zero-shot models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Zero-shot robustification of zero-shot models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.055991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdb6957b-b152-43c7-97af-06f5b79ab5cf · outbound

This paper cites Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.046492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44de9b57-b6e7-4a46-970d-ebd975ca4f77 · outbound

This paper cites Network dissection: Quantifying interpretability of deep visual representations.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Network dissection: Quantifying interpretability of deep visual representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.037866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b9b8604-2ffd-4926-9ed7-a6d5dfd4f486 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts On the Opportunities and Risks of Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.491541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7c3b8a-1c37-49f9-ad78-2a021cd85b12 · outbound

This paper cites Contrastive test-time adaptation.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Contrastive test-time adaptation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.494676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5566df84-f262-40fb-9da1-aa41c55c401c · outbound

This paper cites Concept-based explanations for out-of-distribution detectors.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Concept-based explanations for out-of-distribution detectors

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.029335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e85c4b01-95fb-4720-9365-73134e4d45ef · outbound

This paper cites Debiasing Vision-Language Models via Biased Prompts.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Debiasing Vision-Language Models via Biased Prompts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.499827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bff383b-8355-4249-9b69-451d3d8027ac · outbound

This paper cites an unresolved cited work.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:35:01.020177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a607a482-6e31-4658-aff9-e0aedde1a661 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Imagebind: One embedding space to bind them all

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:01.012020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4603e6a7-d386-4821-a56b-2215f1500d79 · outbound

This paper cites Addressing leakage in concept bottleneck models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Addressing leakage in concept bottleneck models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.508173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0f0920-c918-4f29-aea7-01cae1e4638b · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Benchmarking neural network robustness to common corruptions and perturbations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.510567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdbcc77-d61a-414c-bd37-18a28a001c5b · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Scaling up visual and vision-language representation learning with noisy text supervision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.513163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a76b4b-3545-4436-ad55-5901e830f83f · outbound

This paper cites CAFA : Class-aware feature alignment for test-time adaptation.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts CAFA : Class-aware feature alignment for test-time adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.992001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb110171-9005-46cd-8116-b24158d96715 · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors ( TCAV ).

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Interpretability beyond feature attribution: Quantitative testing with concept activation vectors ( TCAV )

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.984733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 736825c6-6e86-48c3-88ce-e3f4bde8dadc · outbound

This paper cites Concept bottleneck models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Concept bottleneck models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.977300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6f34a32d-1fc2-49f6-9b60-ea8296cd4aea · outbound

This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Fine-tuning can distort pretrained features and underperform out-of-distribution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.970163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86592c93-8e73-48f4-9f84-8148bc075fe5 · outbound

This paper cites Measure theory, Probability, and Stochastic Processes.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Measure theory, Probability, and Stochastic Processes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.962308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 82b26371-cb70-4501-a400-cf4ce966d209 · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.954365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c371c02a-5071-4197-b801-88a54f62420f · outbound

This paper cites Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, and Chelsea Finn.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, and Chelsea Finn

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.945803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2761cd94-3664-4127-9d70-2349e15c7f6d · outbound

This paper cites A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.534255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af51bbc-33cf-483f-8928-07d8330b7fb9 · outbound

This paper cites Metashift: A dataset of datasets for evaluating contextual distribution shifts and training conflicts.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Metashift: A dataset of datasets for evaluating contextual distribution shifts and training conflicts

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.937958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e1354ef-d4e2-4f17-b305-fb2a22c75889 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In The Eleventh International Conference on Learning Representations ( ICLR ).

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts How to exploit hyperspherical embeddings for out-of-distribution detection? In The Eleventh International Conference on Learning Representations ( ICLR )

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.930082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3961f23f-70fe-43ce-82ae-605524ffa60e · outbound

This paper cites Text-to-concept (and back) via cross-model alignment.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Text-to-concept (and back) via cross-model alignment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.921114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 961e72d5-17e3-49ff-bb56-f983d933888d · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.544923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02484436-d867-4092-8d13-2cc36db873c7 · outbound

This paper cites CLIP-Dissect : Automatic description of neuron representations in deep vision networks.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts CLIP-Dissect : Automatic description of neuron representations in deep vision networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.912180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ffd7ba51-6426-49b8-a4ee-40b885f40ac9 · outbound

This paper cites Nguyen, and Tsui-Wei Weng.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Nguyen, and Tsui-Wei Weng

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.903629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 353cb343-0e07-4647-9165-f8a8d3cabba7 · outbound

This paper cites Dataset shift in machine learning.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Dataset shift in machine learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.895000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49d60300-ccdf-436a-8b42-6dee72c5f771 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Learning transferable visual models from natural language supervision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.886415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a368d62-14fd-4af0-a662-206d80fd3271 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts High-resolution image synthesis with latent diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.877453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a4cf413-1777-408f-8a79-b27686b36cb3 · outbound

This paper cites Distributionally robust neural networks.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Distributionally robust neural networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.560853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190915d6-c1d5-49c0-b438-2bd8f1f3ff42 · outbound

This paper cites Robust CLIP : Unsupervised adversarial fine-tuning of vision embeddings for robust large vision-language models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Robust CLIP : Unsupervised adversarial fine-tuning of vision embeddings for robust large vision-language models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.864562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5bcdf7c-2c2a-402f-92a2-e4e6d48ae9ae · outbound

This paper cites Incremental residual concept bottleneck models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Incremental residual concept bottleneck models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.855528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation acab79f9-368d-44f1-bb85-7ed20de7990c · outbound

This paper cites FixMatch : Simplifying semi-supervised learning with consistency and confidence.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts FixMatch : Simplifying semi-supervised learning with consistency and confidence

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.845917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0735cec-c25e-4f5f-ae13-ae51d27c92bf · outbound

This paper cites Conceptnet 5.5: An open multilingual graph of general knowledge.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Conceptnet 5.5: An open multilingual graph of general knowledge

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.571266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b09267-653c-491f-8530-faead0c7dbc5 · outbound

This paper cites Test-time training with self-supervision for generalization under distribution shifts.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Test-time training with self-supervision for generalization under distribution shifts

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.574144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f501c8c-ea4c-4632-b22c-43572812736c · outbound

This paper cites Learning bottleneck concepts in image classification.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Learning bottleneck concepts in image classification

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.827632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9c47f50-191b-4e36-bce4-61a2099a2d6c · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Tent: Fully test-time adaptation by entropy minimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.579173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ee28e0-7c43-463a-80d9-324b121678a4 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.581798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f64223-f6d1-443e-957f-32700ba0aba7 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts BloombergGPT: A Large Language Model for Finance

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.584766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfcc7fe5-654d-4ae3-bfec-8e8a6bab8f54 · outbound

This paper cites Discover and Cure: Concept-aware Mitigation of Spurious Correlation.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Discover and Cure: Concept-aware Mitigation of Spurious Correlation

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:35:00.657911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc166985-d168-4b10-af89-0e4e214cbd0c · outbound

This paper cites Towards a theoretical framework of out-of-distribution generalization.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Towards a theoretical framework of out-of-distribution generalization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.814239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c77a1494-51fa-404e-aa94-709acb3500ac · outbound

This paper cites On completeness-aware concept-based explanations in deep neural networks.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts On completeness-aware concept-based explanations in deep neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.805976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5266737c-f9c8-4308-9cfa-e6f89af27ab4 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.797446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9cedf2d-63bb-46c4-b41d-497df794707d · outbound

This paper cites Post-hoc concept bottleneck models.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Post-hoc concept bottleneck models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.788775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c84c0684-3956-46f3-8df8-803ce1f9b43a · outbound

This paper cites MEMO : Test time robustness via adaptation and augmentation.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts MEMO : Test time robustness via adaptation and augmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:35:00.780399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a12ea3fc-bf50-45f2-9682-e4622e7c284f · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.604205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c240dba7-0fac-4869-9a6e-9acc95f8280a · outbound

This paper cites Regularization and variable selection via the elastic net.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Regularization and variable selection via the elastic net

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.607165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfda1b44-246e-454f-8b29-cd6522cec9e4 · outbound

This paper cites @esa (Ref.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts @esa (Ref

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.609892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6ff3bc-5faa-4bec-8fa4-cf3e93f01554 · outbound

This paper cites an unresolved cited work.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.613725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cdc0b2-c74e-46c1-88f1-182590167430 · outbound

This paper cites an unresolved cited work.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:00.616605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2314ef0a-e3f1-4279-9a17-c24fb562498a · inbound

Mitigating Label Bias with Interpretable Rubric Embeddings cites this paper.

Mitigating Label Bias with Interpretable Rubric Embeddings Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:41.011548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c2ad9e0-01c3-4b63-a11f-aae6ec636a44 · inbound

Multimodal Concept Bottleneck Models cites this paper.

Multimodal Concept Bottleneck Models Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.859785Z

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