Paper Citation Record · LEDGER

Node Classification With Integrated Reject Option

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.03190.

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

pith.paper-citation-record.v1
2412.03190 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:46:26.806067Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy32
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6910dfb2-24ae-4e3d-8bdc-7175024bf0dd · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Node Classification With Integrated Reject Option A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.245398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c840880-82ab-4ab5-ae12-ec67f956b3a0 · outbound

This paper cites an unresolved cited work.

Node Classification With Integrated Reject Option Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:29.664918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a6ef0f2-1955-4fc6-a5ea-ff518b53c6d2 · outbound

This paper cites Residual Gated Graph ConvNets.

Node Classification With Integrated Reject Option Residual Gated Graph ConvNets

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.285714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d059eb0-ef75-410e-9ada-0b1aede0b914 · outbound

This paper cites Generalizing consistent multi-class classification with rejection to be compatible with arbitrary losses.

Node Classification With Integrated Reject Option Generalizing consistent multi-class classification with rejection to be compatible with arbitrary losses

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.514750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0592071-d622-44ea-bbeb-b6793fe00d44 · outbound

This paper cites Classification with rejection based on cost-sensitive classification.

Node Classification With Integrated Reject Option Classification with rejection based on cost-sensitive classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.391964Z

Source-reported events for the cited work

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Observation e5fe640f-34f0-4476-805c-7a31d54e8540 · outbound

This paper cites A survey on legal judgment prediction: Datasets, metrics, models and challenges.

Node Classification With Integrated Reject Option A survey on legal judgment prediction: Datasets, metrics, models and challenges

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.344378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0cebe76-4c34-48a8-9391-16859177f161 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Node Classification With Integrated Reject Option Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.311242Z

Source-reported events for the cited work

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Observation 94908e10-f77b-47c0-8ac0-1730d2e79455 · outbound

This paper cites On the equivalence between graph isomorphism testing and function approximation with gnns.

Node Classification With Integrated Reject Option On the equivalence between graph isomorphism testing and function approximation with gnns

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.225765Z

Source-reported events for the cited work

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Observation 460b1260-5017-4765-a34a-249aecdbe37b · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Node Classification With Integrated Reject Option Convolutional neural networks on graphs with fast localized spectral filtering

Reference 9

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Source-reported events for the cited work

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Observation 2b663be6-b7da-4637-ab08-7bbf9af65ce1 · outbound

This paper cites Legal judgment prediction via relational learning.

Node Classification With Integrated Reject Option Legal judgment prediction via relational learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.163810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d6aec8e-f89c-4680-b8fb-6187d26f8957 · outbound

This paper cites Eta prediction with graph neural networks in google maps.

Node Classification With Integrated Reject Option Eta prediction with graph neural networks in google maps

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.138256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19ee144f-fa76-4c45-a84c-a4157994c65a · outbound

This paper cites da Rocha Neto, Ricardo Sousa, Guilherme de A.

Node Classification With Integrated Reject Option da Rocha Neto, Ricardo Sousa, Guilherme de A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.089297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ecbaa06-82f5-4f47-9381-76ca97b51a17 · outbound

This paper cites On the foundations of noise-free selective classification.

Node Classification With Integrated Reject Option On the foundations of noise-free selective classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:29.057300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe85a75b-650e-4325-b1db-897e31ef2a9b · outbound

This paper cites Legal judgment prediction: A survey of the state of the art.

Node Classification With Integrated Reject Option Legal judgment prediction: A survey of the state of the art

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.964746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ebdb40d-7657-4e96-b42a-cdd923c32c45 · outbound

This paper cites Selective classification for deep neural networks.

Node Classification With Integrated Reject Option Selective classification for deep neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.918090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b203e84e-30bb-45d5-91d9-322493e66b50 · outbound

This paper cites Selectivenet: A deep neural network with an integrated reject option.

Node Classification With Integrated Reject Option Selectivenet: A deep neural network with an integrated reject option

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.844826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 627cfb9c-7499-4d50-8c7c-e619998c171d · outbound

This paper cites A survey of uncertainty in deep neural networks.

Node Classification With Integrated Reject Option A survey of uncertainty in deep neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.784746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 786889f6-44ce-4ac0-9787-ea5845887a58 · outbound

This paper cites Dougherty.

Node Classification With Integrated Reject Option Dougherty

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.715765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97d22c13-5c8c-48ed-94e6-5eba21e53f1c · outbound

This paper cites Uncertainty quantification over graph with conformalized graph neural networks.

Node Classification With Integrated Reject Option Uncertainty quantification over graph with conformalized graph neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.644842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1cd1ad2a-1356-4ba5-beba-1f00e03a8d9f · outbound

This paper cites Hamilton, Zhitao Ying, and Jure Leskovec.

Node Classification With Integrated Reject Option Hamilton, Zhitao Ying, and Jure Leskovec

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.580562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28918151-857a-4dc8-a7b9-03159d5036da · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Node Classification With Integrated Reject Option Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

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Source-reported events for the cited work

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Observation 49d1f63c-15a5-454f-9985-07f52cd0b9bf · outbound

This paper cites Risan: Robust instance specific deep abstention network.

Node Classification With Integrated Reject Option Risan: Robust instance specific deep abstention network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.518488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8943b81-4cc0-48f8-a1d2-afb9bbd445d7 · outbound

This paper cites Kipf and Max Welling.

Node Classification With Integrated Reject Option Kipf and Max Welling

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.394747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0410dfac-cdf0-4cdf-b1be-03e848421009 · outbound

This paper cites Exploring Graph Neural Networks for Indian Legal Judgment Prediction.

Node Classification With Integrated Reject Option Exploring Graph Neural Networks for Indian Legal Judgment Prediction

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:46:27.022626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a8f35b4-2299-4a77-a331-ad0a9306fffe · outbound

This paper cites A unified approach to interpreting model predictions.

Node Classification With Integrated Reject Option A unified approach to interpreting model predictions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.271625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eca8602f-e0bd-4006-b5af-503454bc30d2 · outbound

This paper cites Provably powerful graph networks.

Node Classification With Integrated Reject Option Provably powerful graph networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.174750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edf59eb2-da2b-4632-858d-b124b0998196 · outbound

This paper cites Weisfeiler and leman go neural: Higher-order graph neural networks.

Node Classification With Integrated Reject Option Weisfeiler and leman go neural: Higher-order graph neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:28.038989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93854445-019f-4290-9365-89b690584923 · outbound

This paper cites ILDC for CJPE : I ndian legal documents corpus for court judgment prediction and explanation.

Node Classification With Integrated Reject Option ILDC for CJPE : I ndian legal documents corpus for court judgment prediction and explanation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.970707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62a8cd5d-17a1-403c-a9b0-8d4add1320e4 · outbound

This paper cites On the calibration of multiclass classification with rejection.

Node Classification With Integrated Reject Option On the calibration of multiclass classification with rejection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.862460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 775c6e05-eb73-4d5d-aca7-35155ce45b3c · outbound

This paper cites Thyroid Disease.

Node Classification With Integrated Reject Option Thyroid Disease

Reference 30

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Source-reported events for the cited work

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Observation e792b1c6-ce42-4f5a-a271-ea88072e5489 · outbound

This paper cites Rosowsky and Robert E.

Node Classification With Integrated Reject Option Rosowsky and Robert E

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.774749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88bf12b3-e7da-45c0-9cb5-2e4125e9bd63 · outbound

This paper cites Consistent algorithms for multiclass classification with an abstain option.

Node Classification With Integrated Reject Option Consistent algorithms for multiclass classification with an abstain option

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.674743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a952afff-3441-45f1-824a-77780cbddfca · outbound

This paper cites Few-shot learning with graph neural networks.

Node Classification With Integrated Reject Option Few-shot learning with graph neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.613985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f8d8c8e-02de-4476-94c8-c9a853e6d291 · outbound

This paper cites an unresolved cited work.

Node Classification With Integrated Reject Option Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:46:27.530941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 159e2f87-d8ce-4dbb-85a4-d3fd228ac37a · outbound

This paper cites The graph neural network model.

Node Classification With Integrated Reject Option The graph neural network model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.606885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a733287-2b26-4cc5-99fe-798c87b595c8 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Node Classification With Integrated Reject Option Dropout: a simple way to prevent neural networks from overfitting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.614692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de6444d-0850-4d9e-9edc-a3202fb10c81 · outbound

This paper cites Schlichtkrull, Thomas Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Node Classification With Integrated Reject Option Schlichtkrull, Thomas Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.425956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3cdbc964-2a36-4694-a0c2-9ba05450d476 · outbound

This paper cites Collective classification in network data.

Node Classification With Integrated Reject Option Collective classification in network data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.396560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01a2a9b0-6fb1-4e50-957b-8671db7bbadc · outbound

This paper cites Disease prediction via graph neural networks.

Node Classification With Integrated Reject Option Disease prediction via graph neural networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.373878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27a14d41-b08a-4ac5-b85c-1c814c2c222e · outbound

This paper cites Graph Attention Networks.

Node Classification With Integrated Reject Option Graph Attention Networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.308166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1af39f1-9f04-464b-8b2f-687c53f0ff33 · outbound

This paper cites Uncertainty in Graph Neural Networks: A Survey.

Node Classification With Integrated Reject Option Uncertainty in Graph Neural Networks: A Survey

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:26.717359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84742e1b-c85e-4b54-8800-de122b8475a7 · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations , 2018.

Node Classification With Integrated Reject Option How powerful are graph neural networks? In International Conference on Learning Representations , 2018

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.278019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6043cc51-5101-4120-a65a-0e0fa3be6c43 · outbound

This paper cites Geometric graph representation learning on protein structure prediction.

Node Classification With Integrated Reject Option Geometric graph representation learning on protein structure prediction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.252684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae94e7a2-a24d-49c7-a6e6-2dc97794b08d · outbound

This paper cites Towards consumer loan fraud detection: Graph neural networks with role-constrained conditional random field.

Node Classification With Integrated Reject Option Towards consumer loan fraud detection: Graph neural networks with role-constrained conditional random field

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:46:27.206951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.