Paper Citation Record · LEDGER

On the Benefits of Attribute-Driven Graph Domain Adaptation

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2502.06808.

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

pith.paper-citation-record.v1
2502.06808 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:57:08.485341Z

measured 22 of 22 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:31:17.492176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:07:39.228125Z

Reference resolution

19 of 19 outbound references displayed

verified exact2
verified fuzzy9
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 704d79b2-fa02-4d34-8908-7af011448aac · outbound

This paper cites (16) Proof.

On the Benefits of Attribute-Driven Graph Domain Adaptation (16) Proof

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.724984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f98d370-61d1-43ec-9e01-8f6068cb0f87 · outbound

This paper cites Pairwise Alignment Improves Graph Domain Adaptation.

On the Benefits of Attribute-Driven Graph Domain Adaptation Pairwise Alignment Improves Graph Domain Adaptation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.416041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8023f2cc-c241-4cea-b0f6-2a9080947b5f · outbound

This paper cites Revisiting Link Prediction: A Data Perspective.

On the Benefits of Attribute-Driven Graph Domain Adaptation Revisiting Link Prediction: A Data Perspective

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.420903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f21b77-3ce4-4471-9530-8318536d7743 · outbound

This paper cites Adversarial deep network embedding for cross-network node classification.

On the Benefits of Attribute-Driven Graph Domain Adaptation Adversarial deep network embedding for cross-network node classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.771418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14867c18-97f0-4b6e-8d8e-fe47774962a8 · outbound

This paper cites Unsupervised domain adaptive graph convolutional networks.

On the Benefits of Attribute-Driven Graph Domain Adaptation Unsupervised domain adaptive graph convolutional networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.756185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63546508-f3da-4374-9628-bbea25c8959e · outbound

This paper cites Graph-Relational Domain Adaptation.

On the Benefits of Attribute-Driven Graph Domain Adaptation Graph-Relational Domain Adaptation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.456539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0eebdc7-3275-4b89-b761-f8dcfb152690 · outbound

This paper cites Graphae: adaptive embedding across graphs.

On the Benefits of Attribute-Driven Graph Domain Adaptation Graphae: adaptive embedding across graphs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.740491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8bec0a8-bf79-4ca3-957e-0a025b45ec77 · outbound

This paper cites DANE: Domain Adaptive Network Embedding.

On the Benefits of Attribute-Driven Graph Domain Adaptation DANE: Domain Adaptive Network Embedding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.465536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ff6e07-c02b-480e-8d64-f3b1f784b6b0 · outbound

This paper cites Given the sparsity of this dataset, α, β and τ should be set relatively higher to emphasize topology alignment and capture key structural relationships.

On the Benefits of Attribute-Driven Graph Domain Adaptation Given the sparsity of this dataset, α, β and τ should be set relatively higher to emphasize topology alignment and capture key structural relationships

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.709478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ced841c5-b949-4ef7-a0f3-11133c7dd244 · outbound

This paper cites an unresolved cited work.

On the Benefits of Attribute-Driven Graph Domain Adaptation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:57:08.679591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba08ca39-03fa-44c2-a1d2-fdad9bfda8bc · outbound

This paper cites Conversely, the classification performance declines with increasing attribute discrepancy, highlighting that the bound attribute component is closely related to the GDA performance.

On the Benefits of Attribute-Driven Graph Domain Adaptation Conversely, the classification performance declines with increasing attribute discrepancy, highlighting that the bound attribute component is closely related to the GDA performance

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.694723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 985c3a8f-6ac7-4fe8-8883-ccbb22f1a72e · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

On the Benefits of Attribute-Driven Graph Domain Adaptation Semi-Supervised Classification with Graph Convolutional Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.410902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac64f3f3-de66-4d20-966c-2945973864ea · outbound

This paper cites Network Together: Node Classification via Cross network Deep Network Embedding.

On the Benefits of Attribute-Driven Graph Domain Adaptation Network Together: Node Classification via Cross network Deep Network Embedding

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.430485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8624b6dd-2a33-4a5d-9b8a-dd230def805c · outbound

This paper cites Graph transfer learning via adversarial domain adaptation with graph convolution.

On the Benefits of Attribute-Driven Graph Domain Adaptation Graph transfer learning via adversarial domain adaptation with graph convolution

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.814351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c1f9bde-83b8-4826-bea7-9669c17d161a · outbound

This paper cites One Node One Model: Featuring the Missing-Half for Graph Clustering.

On the Benefits of Attribute-Driven Graph Domain Adaptation One Node One Model: Featuring the Missing-Half for Graph Clustering

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:57:08.564759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 087e2df9-daeb-43bb-8eff-14c4d431ec6b · outbound

This paper cites CDC: A Simple Framework for Complex Data Clustering.

On the Benefits of Attribute-Driven Graph Domain Adaptation CDC: A Simple Framework for Complex Data Clustering

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:57:08.664599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18df8739-8468-4a98-bd09-e492b68e076d · outbound

This paper cites Structure-preserving graph represen- tation learning.

On the Benefits of Attribute-Driven Graph Domain Adaptation Structure-preserving graph represen- tation learning

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.799873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c097632-a793-4bc0-aa73-572ee8f23fab · outbound

This paper cites Graph Domain Adaptation: Challenges, Progress and Prospects.

On the Benefits of Attribute-Driven Graph Domain Adaptation Graph Domain Adaptation: Challenges, Progress and Prospects

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T13:57:08.440657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18d195a-9765-4083-8927-c82d33b357fe · outbound

This paper cites Upper bounding barlow twins: A novel filter for multi-relational clustering.

On the Benefits of Attribute-Driven Graph Domain Adaptation Upper bounding barlow twins: A novel filter for multi-relational clustering

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:57:08.785886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 0a1728cc-5781-44c1-9746-99f824e578cb · inbound

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation cites this paper.

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation On the Benefits of Attribute-Driven Graph Domain Adaptation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:07:39.230134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cca3426c-d96c-4b61-bdb0-11b9295e0bca · inbound

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation cites this paper.

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation On the Benefits of Attribute-Driven Graph Domain Adaptation

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T19:38:10.580908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13b6674f-0d06-4d34-b7f4-d9b28f766246 · inbound

Cross-Resolution Semantic Learning for Graph Domain Adaptation cites this paper.

Cross-Resolution Semantic Learning for Graph Domain Adaptation On the Benefits of Attribute-Driven Graph Domain Adaptation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T08:31:17.492176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.