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Paper Citation Record · LEDGER

Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2010.00577.

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

pith.paper-citation-record.v1
2010.00577 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:14:37.754235Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:09:55.368297Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation baf845a1-537d-41cd-aa2f-8c9244999429 · inbound

Explaining the Explainers in Graph Neural Networks: a Comparative Study cites this paper.

Explaining the Explainers in Graph Neural Networks: a Comparative Study Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-24T11:04:22.125480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T11:00:19.591474Z digest=sha256:dffead4215661288166dc97354b6cc51291911541bd2f0ba0e85b505b5271f70

Observation a74fdde4-d5da-4210-bcd8-59a42fce2231 · inbound

Do Explanations Increase the Risk of Decision Logic Leakage? Explanation-Guided Stealing of Graph Models cites this paper.

Do Explanations Increase the Risk of Decision Logic Leakage? Explanation-Guided Stealing of Graph Models Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:14:37.754235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:37.754235Z digest=sha256:b17d2eab81d69e134b0ec67a319e2ac4aea42f3e80574783c115f5ee79082c1e

Observation 52cb7532-f699-43bc-a06d-446a86518bba · inbound

Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.

Graph Neural Networks in Modern AI-aided Drug Discovery Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:55.276505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:55.276505Z digest=sha256:cbfd4b0662e9b578144d1b4bb28fb7b6bfe9112eab5ffe8184021ee4fd8814e6

Observation 2416927b-3390-471c-89c9-00c83d603214 · inbound

TACENR: Task-Agnostic Contrastive Explanations for Node Representations cites this paper.

TACENR: Task-Agnostic Contrastive Explanations for Node Representations Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:29:21.726196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T03:27:15.874345Z digest=sha256:c0469aa3c553caafacef18d792852b0ae4ee15e45e2658ec612472e3f3ccb03e

Observation d99255ca-f71e-4016-a4bb-a60f52d44191 · inbound

B-cos GNNs: Faithful Explanations through Dynamic Linearity cites this paper.

B-cos GNNs: Faithful Explanations through Dynamic Linearity Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:38:09.266683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T07:36:37.630198Z digest=sha256:c9845008a9911739e47f51dc05cc788c53d307035146d3ed25f7762b12da6661

Observation 120a97c2-d601-4e02-a76d-ac274db2e6ca · inbound

Clue-Guided Money Laundering Group Discovery cites this paper.

Clue-Guided Money Laundering Group Discovery Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.370864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:50:46.696336Z digest=sha256:c1be75f9f3955d51c97ad6c5743f46f2a70c2d325fb317f6c24705c0cd1aaefd

Observation 2d2baa56-c648-42d6-89cf-525de93cf661 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 219

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.707424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:f67682f3aef3f50e877338ad632684be86a53afaf91178c53a4336465c1a8764

Observation afb5b027-1334-4874-ab65-6e0543948edf · inbound

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls cites this paper.

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T07:41:31.779129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:41:31.779129Z digest=sha256:4498dff7c7d32f86a53a2ec1cddb182724f4cbc36d0c4080040c6f2d704f7db1