Paper Citation Record · LEDGER

DeGLIF for Label Noise Robust Node Classification using GNNs

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.00244.

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

pith.paper-citation-record.v1
2506.00244 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:10.793033Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy28
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f6e4c30-a0da-446e-86d6-7ab27a89d7bc · outbound

This paper cites In: ICLR (2023).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICLR (2023)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:16.066683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be60d629-6f7d-4ff3-a4eb-77d3f1bbaf5c · outbound

This paper cites In: ACM SIGKDD (2021).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ACM SIGKDD (2021)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:15.926971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b0fa1ae-8dde-40bc-8f87-3a7aba621932 · outbound

This paper cites In: NIPS (2016).

DeGLIF for Label Noise Robust Node Classification using GNNs In: NIPS (2016)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:15.736908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cfc17ea7-bbb0-47bf-b218-e589e143dce0 · outbound

This paper cites an unresolved cited work.

DeGLIF for Label Noise Robust Node Classification using GNNs Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:16:15.603141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0cf7e2a-e3b6-4e39-afd9-049cf4f10880 · outbound

This paper cites In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:15.477136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4fa4ca7b-9b73-4d85-9718-772f9f3ebd59 · outbound

This paper cites Neurocomputing 160, 93–107 (2015).

DeGLIF for Label Noise Robust Node Classification using GNNs Neurocomputing 160, 93–107 (2015)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:15.309489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6edb43b4-9328-4177-b69d-1ce77883fb88 · outbound

This paper cites In: NIPS (2017).

DeGLIF for Label Noise Robust Node Classification using GNNs In: NIPS (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:15.140469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9faa727f-5564-471b-b200-f4e6edbe8ece · outbound

This paper cites Training Data Influence Analysis and Estimation: A Survey.

DeGLIF for Label Noise Robust Node Classification using GNNs Training Data Influence Analysis and Estimation: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:08.701298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1311f7a2-a44e-4dee-94f2-0f3bc07fc61d · outbound

This paper cites Journal of the American Statistical Association 69(346), 383–393 (1974).

DeGLIF for Label Noise Robust Node Classification using GNNs Journal of the American Statistical Association 69(346), 383–393 (1974)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.980625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17e7ba4f-eb19-4034-9615-dd25dc261f3a · outbound

This paper cites Bell Telephone Laboratories (1972).

DeGLIF for Label Noise Robust Node Classification using GNNs Bell Telephone Laboratories (1972)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.825178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3dcffd1d-27a7-4373-af14-a6be345709fc · outbound

This paper cites In: ICLR (2017).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICLR (2017)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.643329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6ad60ea-b5bc-41ac-8802-7923d57ed8eb · outbound

This paper cites In: ICML Workshop on Mechanistic Interpretability (2024).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICML Workshop on Mechanistic Interpretability (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.390489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 828fd603-a840-4d55-bb10-9966b0d1fb7c · outbound

This paper cites In: ICML (2017).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICML (2017)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.241351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3791ea3a-c61d-402c-a3e6-ff4ddbfe94e0 · outbound

This paper cites In: NeurIPS (2019).

DeGLIF for Label Noise Robust Node Classification using GNNs In: NeurIPS (2019)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:14.052995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f9096c7-b48e-4947-a88a-7b1192435bf2 · outbound

This paper cites In: ICLR (2022).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICLR (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.871724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 338614da-7882-4d7d-be4d-b78bc68e16c1 · outbound

This paper cites In: IEEE International Conference on Systems, Man, and Cybernetics (2018) Page 11.

DeGLIF for Label Noise Robust Node Classification using GNNs In: IEEE International Conference on Systems, Man, and Cybernetics (2018) Page 11

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.733920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf14a495-1763-44df-8daa-20dcbef91d7d · outbound

This paper cites Neural networks (2024).

DeGLIF for Label Noise Robust Node Classification using GNNs Neural networks (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.557138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e19ec5e-694d-4b1b-a5cf-25db21db0fb3 · outbound

This paper cites Deeper Understanding of Black-box Predictions via Generalized Influence Functions.

DeGLIF for Label Noise Robust Node Classification using GNNs Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:09.426866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421af84f-431b-4159-a086-0e1e87daebd6 · outbound

This paper cites when to update.

DeGLIF for Label Noise Robust Node Classification using GNNs when to update

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.437866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 223326af-985a-4cfe-945c-9ad6b5e7f25d · outbound

This paper cites IEEE transactions on cybernetics 43(3), 1146–1151 (2013).

DeGLIF for Label Noise Robust Node Classification using GNNs IEEE transactions on cybernetics 43(3), 1146–1151 (2013)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.323090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c2454fbb-e043-40c1-ad26-d4a78c8b6c98 · outbound

This paper cites Learning Graph Neural Networks with Noisy Labels.

DeGLIF for Label Noise Robust Node Classification using GNNs Learning Graph Neural Networks with Noisy Labels

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:16:10.944416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aadea415-6758-4e3e-b493-015abf00023c · outbound

This paper cites WSDM (2023).

DeGLIF for Label Noise Robust Node Classification using GNNs WSDM (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.176056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f91ee88e-dadd-479d-9bef-5a3dacb364f9 · outbound

This paper cites In: Pattern Recognition and Big Data, pp.

DeGLIF for Label Noise Robust Node Classification using GNNs In: Pattern Recognition and Big Data, pp

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:13.001846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d3f9d05f-bf36-45b3-90d2-06c72b10c9af · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

DeGLIF for Label Noise Robust Node Classification using GNNs Pitfalls of Graph Neural Network Evaluation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:09.856863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e99ee0-5990-4f24-bd28-8219be389569 · outbound

This paper cites In: ICML.

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICML

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.839678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66ce1e48-7cd2-45b5-a6b0-9ec3cb71f254 · outbound

This paper cites Tutorial at DSAA (2020), http: //dsaa2020.dsaa.co/tutorials/#noise.

DeGLIF for Label Noise Robust Node Classification using GNNs Tutorial at DSAA (2020), http: //dsaa2020.dsaa.co/tutorials/#noise

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.710339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 36b4a35d-d486-4645-8d91-a746375b6365 · outbound

This paper cites In: PAKDD.

DeGLIF for Label Noise Robust Node Classification using GNNs In: PAKDD

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.565269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34c97afd-8bb1-4320-b2fc-8cfda70d71ab · outbound

This paper cites In: IEEE/CVF international conference on computer vision (2019).

DeGLIF for Label Noise Robust Node Classification using GNNs In: IEEE/CVF international conference on computer vision (2019)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.412217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24520843-8bb8-4bca-a952-df1e4afd9610 · outbound

This paper cites NeurIPS Dataset Benchmark (2024).

DeGLIF for Label Noise Robust Node Classification using GNNs NeurIPS Dataset Benchmark (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.245464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93f5541b-1ab9-4da4-8a32-1a9493aaad8c · outbound

This paper cites In: AAAI (2020).

DeGLIF for Label Noise Robust Node Classification using GNNs In: AAAI (2020)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:12.087251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7aa80c7b-2c5a-471d-88b9-92172c17a7f1 · outbound

This paper cites In: ACM Web Conference (2023).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ACM Web Conference (2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:11.945633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9dcc7de2-d38d-40a9-a3f9-b0c93b865cd0 · outbound

This paper cites In: ICML (2016).

DeGLIF for Label Noise Robust Node Classification using GNNs In: ICML (2016)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:10.402349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04d4b75e-5d1a-474f-9a30-95353c73a6be · outbound

This paper cites an unresolved cited work.

DeGLIF for Label Noise Robust Node Classification using GNNs Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:16:11.782955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ed13611-9897-45e8-af0c-03e013b55d2a · outbound

This paper cites IEEE ICASSP (2023).

DeGLIF for Label Noise Robust Node Classification using GNNs IEEE ICASSP (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:11.644057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1567ec5d-e207-4bcb-b1fa-9b0875fc2ca6 · outbound

This paper cites IEEE International Conference on Data Mining (2020).

DeGLIF for Label Noise Robust Node Classification using GNNs IEEE International Conference on Data Mining (2020)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:11.489695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 47170aeb-75ff-44b5-bdb3-dcf66659b704 · outbound

This paper cites an unresolved cited work.

DeGLIF for Label Noise Robust Node Classification using GNNs Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:16:11.332329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b0272f7-ad79-479a-8c4f-46c3065c3c95 · outbound

This paper cites In a) Model-2 is a Graph sage with hidden dimension 16.

DeGLIF for Label Noise Robust Node Classification using GNNs In a) Model-2 is a Graph sage with hidden dimension 16

Reference 37

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:16:11.183311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.