Paper Citation Record · LEDGER

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.19220.

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

pith.paper-citation-record.v1
2505.19220 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:58.623315Z

measured 41 of 41 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

41 of 41 outbound references displayed

verified exact1
verified fuzzy30
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7737887-6d5e-4d44-b1e0-df2b6b9c2933 · outbound

This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Does the whole exceed its parts? the effect of ai explanations on complementary team performance

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.413126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5faa5d9a-3a7e-4714-8e3a-1ff5b66971c2 · outbound

This paper cites Artificial intelligence for breast cancer screening in mammography (ai-stream): preliminary analysis of a prospective multicenter cohort study.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Artificial intelligence for breast cancer screening in mammography (ai-stream): preliminary analysis of a prospective multicenter cohort study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.334177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17f6076e-6b93-4c92-baa7-8b90ed23c30c · outbound

This paper cites When are two lists better than one?: Benefits and harms in joint decision-making.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models When are two lists better than one?: Benefits and harms in joint decision-making

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.313642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b9c7729-ceb3-48f2-be2e-d3e4b3cd7eeb · outbound

This paper cites Enhancing the reliability and accuracy of ai-enabled diagnosis via complementarity-driven deferral to clinicians.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Enhancing the reliability and accuracy of ai-enabled diagnosis via complementarity-driven deferral to clinicians

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.266400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a0e76f9-204a-4000-9c43-ed79cfdb3c32 · outbound

This paper cites 9 Hill Brendan 4 Karthik Ravishankar 2 Kunicki Katrina 4 Li Shuai 9 Makalic Enes 9 12 Nguyen Tuong L.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models 9 Hill Brendan 4 Karthik Ravishankar 2 Kunicki Katrina 4 Li Shuai 9 Makalic Enes 9 12 Nguyen Tuong L

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.234883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f47ca44f-2e5f-4dd5-8613-a72384cbfa81 · outbound

This paper cites A taxonomy for human-llm interaction modes: An initial exploration.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models A taxonomy for human-llm interaction modes: An initial exploration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.217920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 185323a1-cece-4b6b-b2aa-1978659420ac · outbound

This paper cites How human--ai feedback loops alter human perceptual, emotional and social judgements.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models How human--ai feedback loops alter human perceptual, emotional and social judgements

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.201741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dae3c2c3-6464-45ee-a210-bd459e2331a7 · outbound

This paper cites Optimam mammography image database: a large-scale resource of mammography images and clinical data.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Optimam mammography image database: a large-scale resource of mammography images and clinical data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.185452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31ae6bc6-e49d-4c77-be11-2c323013d18a · outbound

This paper cites Addressing leakage in concept bottleneck models.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Addressing leakage in concept bottleneck models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.168766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2c58fdf5-4618-4bd3-9efd-b954a28d22da · outbound

This paper cites Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.463438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f137f5d5-9ea5-4877-ba4d-680336cd9181 · outbound

This paper cites Deep residual learning for image recognition.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.469194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3674c09f-ddb3-4935-aea0-0acea21782e5 · outbound

This paper cites Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.474423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d450df-c08c-4349-82cc-9508d3994dcf · outbound

This paper cites Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.143245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation daacba81-de60-4885-87b9-e29198b5d1db · outbound

This paper cites Who needs explanation and when? juggling explainable ai and user epistemic uncertainty.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Who needs explanation and when? juggling explainable ai and user epistemic uncertainty

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.128080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4824d11-e2be-48a7-a760-07cdd2196a56 · outbound

This paper cites Seven-point checklist and skin lesion classification using multitask multimodal neural nets.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Seven-point checklist and skin lesion classification using multitask multimodal neural nets

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.112814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 946902c5-ea8e-4508-8d35-4b8e1f991155 · outbound

This paper cites Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.495684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d3de73-6922-45f5-82de-a94a667afa9c · outbound

This paper cites Concept bottleneck models.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Concept bottleneck models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.501562Z

Source-reported events for the cited work

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Observation 8de3e4b4-c456-4bf4-ad12-98bfb7762508 · outbound

This paper cites Deep learning face attributes in the wild.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Deep learning face attributes in the wild

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.085994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09a8a55c-c88c-4e23-ab03-68b79dbbf9d4 · outbound

This paper cites Predict responsibly: improving fairness and accuracy by learning to defer.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Predict responsibly: improving fairness and accuracy by learning to defer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.069963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa421e13-f8b4-4a7b-a432-e1129e7edf09 · outbound

This paper cites A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.053627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc5b4bb8-4a9d-4f5a-93c3-0fd8f458f51c · outbound

This paper cites Using AI uncertainty quantification to improve human decision-making.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Using AI uncertainty quantification to improve human decision-making

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.037712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2442865c-a4a5-4e3e-b32a-c83d5c40577c · outbound

This paper cites Consistent estimators for learning to defer to an expert.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Consistent estimators for learning to defer to an expert

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.021438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24e1f78b-f3d8-47ed-b002-092bfb12fa4f · outbound

This paper cites Who should predict? exact algorithms for learning to defer to humans.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Who should predict? exact algorithms for learning to defer to humans

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:59.004699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e4c1c1a-9a7b-4988-b17c-faaa63c964bc · outbound

This paper cites Effective human-ai teams via learned natural language rules and onboarding.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Effective human-ai teams via learned natural language rules and onboarding

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.988713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f615ce92-5499-424f-8261-d8c97391bb43 · outbound

This paper cites Post-hoc estimators for learning to defer to an expert.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Post-hoc estimators for learning to defer to an expert

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.973111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 849de4a2-87c6-4999-8378-e1554bd00a13 · outbound

This paper cites Nguyen, Thanh-Toan Do, and Gustavo Carneiro.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Nguyen, Thanh-Toan Do, and Gustavo Carneiro

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.957862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b79bc9d7-6f7a-4738-9571-460ae837f059 · outbound

This paper cites Influencing human--ai interaction by priming beliefs about ai can increase perceived trustworthiness, empathy and effectiveness.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Influencing human--ai interaction by priming beliefs about ai can increase perceived trustworthiness, empathy and effectiveness

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.943262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 963d85e3-174f-4463-9804-dc882a07d6c5 · outbound

This paper cites The Algorithmic Automation Problem: Prediction, Triage, and Human Effort.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models The Algorithmic Automation Problem: Prediction, Triage, and Human Effort

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.557167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c538b7-67b7-4f47-bccb-cfb3bc4f8bc0 · outbound

This paper cites Tree-Based Leakage Inspection and Control in Concept Bottleneck Models.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Tree-Based Leakage Inspection and Control in Concept Bottleneck Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.562314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e6ca45-bf6c-404d-a300-92173781ad9c · outbound

This paper cites Human-algorithmic interaction using a large language model-augmented artificial intelligence clinical decision support system.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Human-algorithmic interaction using a large language model-augmented artificial intelligence clinical decision support system

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.927099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04f1b860-6a96-4c52-8d18-debd2d293c37 · outbound

This paper cites Rethinking the inception architecture for computer vision.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Rethinking the inception architecture for computer vision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.911504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c1331f5-82ea-415d-8ccd-f74fb44cfe1b · outbound

This paper cites Calibrated learning to defer with one-vs-all classifiers.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Calibrated learning to defer with one-vs-all classifiers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.895756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9bb85713-807a-460c-9d6f-2cbd9bd51738 · outbound

This paper cites Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Learning to defer to multiple experts: Consistent surrogate losses, confidence calibration, and conformal ensembles

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.879362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8426026-2a4a-4b5e-b004-7c7df111e362 · outbound

This paper cites Exploiting human-ai dependence for learning to defer.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Exploiting human-ai dependence for learning to defer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.863149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56282f26-4e32-48e0-92dd-f99f55896f14 · outbound

This paper cites Caltech-ucsd birds 200.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Caltech-ucsd birds 200

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.844810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23018b4d-9360-441d-be54-babdb5ed4ca4 · outbound

This paper cites Learning to complement humans.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Learning to complement humans

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.828588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70f7b56b-e5ae-486b-a195-f20480890abc · outbound

This paper cites an unresolved cited work.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:22:58.811654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f6641a8-f50e-45a6-b76e-1ea415d60b97 · outbound

This paper cites Post-hoc Concept Bottleneck Models.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Post-hoc Concept Bottleneck Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:58.606745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad572690-b61a-43ff-b37d-9723c51bd036 · outbound

This paper cites The decoupling concept bottleneck model.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models The decoupling concept bottleneck model

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.795516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36de9b4e-8663-4a46-a586-236b6267d9d5 · outbound

This paper cites Learning to complement and to defer to multiple users.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Learning to complement and to defer to multiple users

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:22:58.778752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9da10c33-9ef7-4ef4-b947-4c7f25d7d5ff · outbound

This paper cites Coverage-Constrained Human-AI Cooperation with Multiple Experts.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Coverage-Constrained Human-AI Cooperation with Multiple Experts

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:22:58.667309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.