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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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.

source=arxiv_source observed=2026-08-07T14:22:58.413126Z digest=sha256:a0d5d5f97baee80152c043d5f876fa25fd275a2c9c4e52b06d75ff84ddcdd960

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.420005Z digest=sha256:7d449a9a8c596876c612cae3b89fff6f4ddde47754fbae1ff659396859b9b61e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.425975Z digest=sha256:a264320bb62e9ed194ea8430903dc2baff90d5b99900030d5528823af0c85b57

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.431312Z digest=sha256:6dda8f554bcaf92accbafb4e7f17f5ae5420cb4c44647889905b141a12438981

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.437085Z digest=sha256:2d10b94d3887acf3223558871e150d4a2471036debf2dba641c8880110ecaa01

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.441812Z digest=sha256:915b46f3a5035439200f6e4e3b85813517d765eaa5c42e0f5e7806936d061f51

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.447533Z digest=sha256:db69652a966e45a9479776cb39f2608528e8a8aae7ad2a59a00588637b1b8db3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.452825Z digest=sha256:f895ebab996fa8d5398551c39a5a7c105ac106e149f572a7d039cb72b0c0727b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.458773Z digest=sha256:9403db5fc41048acb0adabd1b24ed6430fbf2071b9443756016bdd98a16cee1f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:22:58.463438Z digest=sha256:deb1866c86da5ef67e4250d3c7fa02cf4d240b490dad5f8827ad544e64a303db

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.

source=arxiv_source observed=2026-08-07T14:22:58.469194Z digest=sha256:098ccec8e00efa6deb8b485fcc8629e61144822f447a18b265504028bfc7884a

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.

source=arxiv_source observed=2026-08-07T14:22:58.474423Z digest=sha256:e7820c1108e0ab8b4b70637fb695071b6aeb1d71f3e5d0e523649eff0c82bf0e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.479822Z digest=sha256:edc971488aa0253738560719884f0219f86cce016100b56a4a7ddf125d3d0bfe

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.484742Z digest=sha256:2fd14a8c422a6183f10ca4f833f5e5fed2deb60ab35256ca7536c4660c6c9045

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.489909Z digest=sha256:accfa8e86ff7651ff38ef5fcfeb20abc8d37301096355bdf4baa7f52bafe7727

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:22:58.501562Z digest=sha256:887bc58e50c7cca33156295e755333a88de499bec8957a05f3a90efb630eee52

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 2026-08-14T06:32:32.682623+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.510731Z digest=sha256:90ee6e67e3c201eda9c687d1321d86e4101accc2c808186ee91f5858958a0747

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.516611Z digest=sha256:78cc0d41db9b1ea4d25c4b1ef3d6ba54f2d9a84a15b5e2317af1fa152793857b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.521503Z digest=sha256:c1aaec8ad0d4c287d2f77543d95d7256899d740bd937b181c385a9a2b22c2468

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.526770Z digest=sha256:bbf6b26eef46a553010d05c8e416175c4db52b3abc59952d6e5836b2ae1b5e22

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.531320Z digest=sha256:c263d7451a42312ad0f4a85c466756eaad4fe1397510e92d940a848230881c8f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.537161Z digest=sha256:b85142ee4fb887b22d641e00334d5f39467f67d8ac6cf28930041a3e1f2d2a86

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.542232Z digest=sha256:dc3718f9550bf468c8aa29c1ce6655ecdd4e8ab6e08951add9cd2c11b5cf2d9c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.547451Z digest=sha256:9df492d35dbe4b8a7a1a7a8337d28feaf3d89661feb75d42229f48ca2801bb84

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.552199Z digest=sha256:03ebc85bbd838a897064f6e53f947d7a94f09b92a5545537c49e63084290560e

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.

source=arxiv_source observed=2026-08-07T14:22:58.557167Z digest=sha256:3c7897be1b8dee0a87edc7d071c658d7d729bb4cf6d0d6e071c5e725ef767e9a

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.

source=arxiv_source observed=2026-08-07T14:22:58.562314Z digest=sha256:444ad86662f6f0aa6c96d3f195c192444beb6c337290d33a4ff552c412b4bc1d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.567329Z digest=sha256:2914b0d2394fdb4525cde93f026e92a4bb5b6db813f3b00fbbcce8660fc9d9c0

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.572687Z digest=sha256:5ce2d3ab5131ee2aeee14a3e12d3021d6bf64ac1d8496f6a162d6b8a6167e8fa

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.577387Z digest=sha256:1cd1d8ea481e4ff1a860eff4baf74879efe9644de3baabca0bcea84c19251119

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.581850Z digest=sha256:5a90faca7e81d563e2b1148945b940ebd917182f55ea42585b2c0fce8921407e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.586788Z digest=sha256:3b841725242c94f9c170a96f4051110d50d2da8d72cf1a8c033acbb6dee2a962

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.591561Z digest=sha256:737319c2d031c888499fff0e59ac0cc501ee5a304b6abe5d352198ad99430329

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.597019Z digest=sha256:f6aa45e3b903e2a1947468021b433e64433aa133a905153965fc51880ec421d1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.602013Z digest=sha256:8fa019befde9883f64c1c6f73e0a513724720560ffd715e93a978cb0d3caff45

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.

source=arxiv_source observed=2026-08-07T14:22:58.606745Z digest=sha256:2fe85492fc4e74de17739f350f74a1cda4974ad32fe7226c67b4337a6cbb3380

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.612750Z digest=sha256:5ceb47685885fd87944903c6b0c0506be8fd9281d1fd0425987ba812738d1095

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.617847Z digest=sha256:bff593ce70a15e1d0a9069bc2b70e62b98850ee9d29d7446c6b065980e7eddb5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T14:22:58.623315Z digest=sha256:022b89cf31c1ed4293efa8ceaa5b52217d7985bfb52cd90fbf34c37a482ce53e

Pith citing papers

No inbound Pith citation observations are available.