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Paper Citation Record · LEDGER

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty

As of 3 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.01502.

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

pith.paper-citation-record.v1
2605.01502 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T14:23:10.849558Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b02491de-62aa-4019-8861-6d540dd18df6 · outbound

This paper cites an unresolved cited work.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-26T02:07:18.325383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation e4587664-5acb-4bd3-ac0e-215449d62703 · outbound

This paper cites an unresolved cited work.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-26T02:07:18.321423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:812793be99283410742b15d444bbff46966401048d87d47dad9632d4acf24917

Observation a9d8c94a-2bd1-444a-86fc-f27149b8b63c · outbound

This paper cites We propose a single-pass uncertainty estimation method based on measuring mutual informa- tion between consecutive decoder layers in segmentation networks.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty We propose a single-pass uncertainty estimation method based on measuring mutual informa- tion between consecutive decoder layers in segmentation networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.329489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 7ecee780-3d5e-4e08-83f8-8a87ba432ac2 · outbound

This paper cites an unresolved cited work.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-26T02:07:18.306598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 6cf99742-d240-4fc7-ae5d-51458ef6cdba · outbound

This paper cites an unresolved cited work.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Unresolved cited work

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-05-26T02:07:18.317290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:59cd26f99c952cfd122404b83e92a87bf3ca00130aa2dbac5cdf070064611c45

Observation 55dcd854-bca9-46aa-b87a-099d35989182 · outbound

This paper cites A machine-learning benchmark for facies classification.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty A machine-learning benchmark for facies classification

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.313727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:91277fd23ee72e39ee2af81f99782692e87b9da0db3a4ae82166cddc22db9bbd

Observation bd55899c-459d-4d32-9a76-81a48eaa88cb · outbound

This paper cites A large-scale bench- mark on geological fault delineation models: Domain shift, training dynamics, generalizability, evaluation, and inferential behavior.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty A large-scale bench- mark on geological fault delineation models: Domain shift, training dynamics, generalizability, evaluation, and inferential behavior

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.310326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:6c8434aae4ba58290ed76e1c4c39e3a2624c8cb57615d0d346c47e3c3821e76c

Observation ab7faee3-d014-4f99-9b11-1292f687cc29 · outbound

This paper cites Subsurface structure analysis using com- putational interpretation and learning: A visual signal process- ing perspective.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Subsurface structure analysis using com- putational interpretation and learning: A visual signal process- ing perspective

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.299134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:592e2b4241937f12e8d0616c15bbbfa011d0c6c634609925ef2b1222ea0d8f12

Observation b4d8c90c-8f85-47e8-9187-67b61c6bf5df · outbound

This paper cites On calibration of modern neural networks.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty On calibration of modern neural networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.303186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:4f406284e4860ae2abd6b5c353cd1bedf9f7083ef7b72b5cc16c114b29f6afb8

Observation 6cc59ef1-1510-44e3-a7a2-73a1e6eeefa7 · outbound

This paper cites A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.302907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:480ef4e279b05cfc8a0a3d2952aa019accf1d3982c48508f076fab01bb8de06b

Observation 1c64a8d2-18a1-456f-98ec-42d80d3db043 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty What uncertainties do we need in bayesian deep learning for computer vision?

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.290982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:214bfc0d451b8d4fca17358a29827dbb2c515adad7ed6ea6324e0f70a1cb5e1f

Observation 23065149-d409-4c3f-a161-e2bc253b3d37 · outbound

This paper cites Effective data selection for seismic interpretation through dis- agreement.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Effective data selection for seismic interpretation through dis- agreement

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.271509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:b03e48f4f5da5897e59adb04066d8c242b3cedb25be29ab81247793212492e16

Observation f52a0169-26cb-4a0f-87f5-cbf9415dd822 · outbound

This paper cites Simple and scalable predictive uncertainty estima- tion using deep ensembles.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Simple and scalable predictive uncertainty estima- tion using deep ensembles

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.275155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:06d2ac97abbc8d6c0f8bd5ae9353cefd1de82d2844e61ebebad620e53c6811d1

Observation ff2fc00f-fb93-43e3-af76-9190479246ec · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learn- ing.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Dropout as a bayesian approximation: Representing model uncertainty in deep learn- ing

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.278980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:2b76ced8aac01be2d9ca7d931ead68f809befce1289228e4fb4a72660a0ed0a3

Observation 8f9f7ce0-f50a-42d1-a858-3ef789de9cff · outbound

This paper cites Reliable uncertainty estimation for seismic interpretation with prediction switches.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Reliable uncertainty estimation for seismic interpretation with prediction switches

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.283339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:2b4c9d8d94ac519a3fd011aaa66e99ebe052f7b7ea41a728a5c7f15e998ccf6e

Observation 90671ee4-512d-4f73-8e06-c5c04409828d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty U-net: Convolutional networks for biomedical image segmentation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.287221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:da2d160ab704e3ca008b8519d7a3ece1cb8420961438ace6a3c9b6d8f1183842

Observation 28550283-6586-4546-97f0-0d4740223420 · outbound

This paper cites Man-recon: Manifold learning for reconstruction with deep autoencoder for smart seismic interpretation.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Man-recon: Manifold learning for reconstruction with deep autoencoder for smart seismic interpretation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.263579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:1b09c6580a78b83ae032f45864b00db7c1233d0624079d8207760247da8a453f

Observation 448abb18-2f29-48ec-9ef7-6c10a19861bf · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:23:45.262282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:4c44444be7f7bca21735c1aa620f82e4436606e3c2bacc3998a2f81bc4f9664a

Observation 9e425023-cabe-4135-b420-99735d92ce59 · outbound

This paper cites Counterfactual gradients-based quantification of prediction trust in neural net- works.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Counterfactual gradients-based quantification of prediction trust in neural net- works

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.267521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:7252f668e5ff94095019cc106b4806d9bb5fb337f42aa1826be7f1845fb9eac4

Observation d28a900b-281f-4e5b-9e2c-43497f264daa · outbound

This paper cites V oice: Variance of induced contrastive explanations to quantify uncertainty in neural network interpretability.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty V oice: Variance of induced contrastive explanations to quantify uncertainty in neural network interpretability

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.251768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:247ce689617bdd6afb91b3dbcb2c5a02d62d2f1c1d821206f2d6a0855ffd9a02

Observation 335345ac-9b44-4073-8c6c-b0058483f72a · outbound

This paper cites The information bottleneck method.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty The information bottleneck method

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.247257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:fb6c18b4a5a150b5476bdf2635423ad75571be0774fe3a60160bcb280660e1dc

Observation 50be0782-996a-4ca7-ba1d-6641eaa04556 · outbound

This paper cites Opening the black box of deep neural networks via information.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Opening the black box of deep neural networks via information

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.243167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:cbf7647dd87136f6eaa98090b70197c2c76538d377312fab7eea4e0af1ba841b

Observation 7b10ce39-cf9a-4727-89f7-b000a1c6a6b1 · outbound

This paper cites Deep learning and the information bottleneck principle.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Deep learning and the information bottleneck principle

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T02:07:18.255824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T14:23:10.849558Z digest=sha256:20c2d35f9827e8b4eb1f67c154ad261ba39f64d2fd8b2f6528bf1affbeeeae2e

Observation af84476a-5319-43fe-b15b-af5c63ed9430 · outbound

This paper cites an unresolved cited work.

RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-26T02:07:18.259760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.