Paper Citation Record · LEDGER

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.02572.

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

pith.paper-citation-record.v1
2607.02572 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T10:08:13.814383Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a01b75a4-5064-4fb7-b6fa-8c7a6ac7ed1c · outbound

This paper cites Multiood: Scaling out- of-distribution detection for multiple modalities,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Multiood: Scaling out- of-distribution detection for multiple modalities,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e600877-aacd-45bc-b118-191c051ea870 · outbound

This paper cites Limitations of out-of-distribution detection in 3d medical image segmentation,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Limitations of out-of-distribution detection in 3d medical image segmentation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ab287f-f2a4-44f9-bd2c-3f036b27f863 · outbound

This paper cites Spectrum intervention based invariant causal representation learning for single- domain generalizable medical image segmentation,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Spectrum intervention based invariant causal representation learning for single- domain generalizable medical image segmentation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb980296-d688-48ca-99ae-b442faeb4588 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion mixup: Beyond Empirical Risk Minimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bf0343-dd43-4a79-bf72-91013a23a255 · outbound

This paper cites Invariant Risk Minimization.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Invariant Risk Minimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d604fb-8712-4aac-bff0-08cfbb109911 · outbound

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

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7eb11d-8035-4b87-867d-fa0195df0523 · outbound

This paper cites Causal representation learning from multimodal clinical records under non-random modality missingness,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Causal representation learning from multimodal clinical records under non-random modality missingness,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10902e5d-aa6c-4922-8155-27f815e26908 · outbound

This paper cites Supervised contrastive learn- ing,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Supervised contrastive learn- ing,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba468ac-1acf-4494-a3c6-facde1ef9a8a · outbound

This paper cites Preoperative prediction and risk assessment of microvascular invasion in hepatocellular carcinoma,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Preoperative prediction and risk assessment of microvascular invasion in hepatocellular carcinoma,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78beba09-1efd-4f6a-8203-db71e86ca4ac · outbound

This paper cites Deep learning-based accurate diagnosis and quantitative evaluation of microvascular invasion in hep- atocellular carcinoma on whole-slide histopathology images,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Deep learning-based accurate diagnosis and quantitative evaluation of microvascular invasion in hep- atocellular carcinoma on whole-slide histopathology images,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a65fbd-fd87-4ab4-b0f9-7474724ac622 · outbound

This paper cites an unresolved cited work.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ed19e3-58f9-44c5-a0d5-82567453dc27 · outbound

This paper cites Predicting microvascular invasion in hepatocellular carcinoma: a dual-institution study on gadoxetate disodium-enhanced mri,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Predicting microvascular invasion in hepatocellular carcinoma: a dual-institution study on gadoxetate disodium-enhanced mri,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4448cdcb-c9ff-45be-a67a-941c98d3f57a · outbound

This paper cites Mri-based topology deep learning model for noninvasive prediction of microvascular invasion and assisting prognostic stratification in hcc,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Mri-based topology deep learning model for noninvasive prediction of microvascular invasion and assisting prognostic stratification in hcc,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98f06787-2195-4995-9e60-de78c0a4e67f · outbound

This paper cites Deep learning with 3d convolutional neural network for noninvasive prediction of microvascular invasion in hepato- cellular carcinoma,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Deep learning with 3d convolutional neural network for noninvasive prediction of microvascular invasion in hepato- cellular carcinoma,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be9a297-5c12-4ac7-ae3e-2da864cca9f5 · outbound

This paper cites Mri- based clinical-radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Mri- based clinical-radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180e04ed-0fb7-41a7-bfe4-458eb5489982 · outbound

This paper cites Causal consistency of structural equation models,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Causal consistency of structural equation models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a0a28de-264c-4d0d-9181-7a298be2a227 · outbound

This paper cites Causal inference by using invariant prediction: identification and confidence intervals,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Causal inference by using invariant prediction: identification and confidence intervals,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d124695e-7579-449b-8003-170fb9a54664 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex),.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Out-of-distribution generalization via risk extrapolation (rex),

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec080b8-bbae-4e1d-b9dd-c2e8096e350e · outbound

This paper cites Deep domain generalization via conditional invariant adversarial networks,.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Deep domain generalization via conditional invariant adversarial networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66dd2927-50d2-4a0c-b915-ff1d3a9005a9 · outbound

This paper cites an unresolved cited work.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27872bfc-b3cd-4f47-b9ff-d80521424275 · outbound

This paper cites an unresolved cited work.

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T10:08:13.814383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.