Paper Citation Record · LEDGER

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.19282.

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

pith.paper-citation-record.v1
2506.19282 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:12:04.703179Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

47 of 47 outbound references displayed

verified exact3
verified fuzzy6
unresolved36
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b58bf228-8dfd-4cd4-82d6-0dea39229bc3 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:09.984318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bf46ab9-4c40-45f0-af31-eda8c2e20c90 · outbound

This paper cites Arghal, E.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Arghal, E

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.828953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 368e8f84-bdcd-4a54-99f6-5d652a7f1283 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:09.703321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 143bcd90-730b-492a-a36a-0cb688db44f9 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:09.550493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a2bc3e0-0e9e-4134-bfa9-f57a404f68da · outbound

This paper cites A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.087994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0748c1-b7d5-424b-b2ff-2d8e8dab72eb · outbound

This paper cites Upper and lower bounds for the Lipschitz constant of random neural networks.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Upper and lower bounds for the Lipschitz constant of random neural networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:12:05.296721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 007c6f6b-1bd3-491f-942d-9827ee460045 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:09.385683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22ed8b43-4317-42da-b4fb-8439d6ae6562 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:09.271850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7b47829-7e56-4606-aa91-3b107f4273cc · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.331293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53beb072-f074-4d7e-a588-c1ce1704eeab · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.373511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10df4ec-0910-4ec8-9747-89a4496c795a · outbound

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

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Hamilton, Rex Ying, and Jure Leskovec

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:09.118895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce1288f4-fab0-4783-b97f-68e92f98f70e · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.462283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e3c47e-0567-4564-8142-5d6269c55ea6 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.827303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fabcea6f-0cd3-45bd-ae61-b91aaa5009b0 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.686181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d932dcc-daa1-4fca-b007-3542984ab0a6 · outbound

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

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Semi-Supervised Classification with Graph Convolutional Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.731887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d513dc-4dad-4bb0-9a4a-84f045e97628 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.570195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91fa7373-fb5f-4004-ada1-3b47808ddc66 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.429771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8e6747f-16d4-4869-94ce-846b73c135cb · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:02.894199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cac62a6-e8da-40aa-b094-356cb71359ca · outbound

This paper cites Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:12:05.170054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90689471-5068-457b-98fb-5c63f3ebe8ba · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.280180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f3fafe1-291f-428b-8dda-bfa31875abda · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.066531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08156981-c23e-4cab-9799-f5e1eece2a40 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Geom-GCN: Geometric Graph Convolutional Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.113234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f476f45-a5df-4ac4-8e56-e41bd833b06a · outbound

This paper cites Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Understanding Optimization of Deep Learning via Jacobian Matrix and Lipschitz Constant

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:12:04.988291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ccfb032e-6b78-4206-ae7f-0970bb9b1ebe · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.253416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6419544e-9410-427e-a956-1b37cee4e728 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.158063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 161b8baa-cb6f-4253-8677-8fbc8b0208df · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:08.021418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 591511be-d439-43b3-a75d-da6d750b8d88 · outbound

This paper cites PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.489658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b30211-68bb-4dc1-88f3-431c4501c4d7 · outbound

This paper cites Szegedy, W.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Szegedy, W

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:07.910441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d284501-88ea-463c-8469-3a06ca97ee95 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:07.710313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 332b55c3-25a1-4657-8b93-a40aaa1ed182 · outbound

This paper cites Graph Attention Networks.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Graph Attention Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.704804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d85c2999-205d-4041-9999-d9a04ee30308 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:07.518484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1564a082-e6c6-4517-bebb-3575418e22aa · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:07.292488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae663a5d-650a-4eb4-bb80-9757dffb7890 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:07.060441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58891532-5e85-4054-a810-85761be6eb2d · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:03.976862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5855fcc8-731b-4e88-b3c2-db2edbcc4c08 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:04.035417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a13bc4d-3022-4932-9950-0b3f7ea4f1b1 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:06.775343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5784359-d934-4e7f-a347-3019b5d27aca · outbound

This paper cites Hamil- ton, and Jure Leskovec.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Hamil- ton, and Jure Leskovec

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:06.524334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0059f42a-9cdf-4a54-84e3-06e3aca0b649 · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Inductive Representation Learning on Temporal Graphs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:04.111354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e309b1e-4a22-4e10-a5b9-f2c14c376a8f · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:06.016562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6823225b-f6b5-4cd2-b4ef-fe36ab1ea90f · outbound

This paper cites TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:04.524177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09687911-6a94-4a9c-a990-745bc56cdf5c · outbound

This paper cites Mueller, R.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Mueller, R

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:06.268427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 311939f6-b004-4e8d-abf9-e3d25af0d122 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:05.739361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96719a7e-a689-44be-b5df-e8c4cdfdc030 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:12:05.871938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d394e6e-15e5-47fa-825a-68771aa3099e · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:04.607710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529f0795-0179-4031-97e5-050813803db2 · outbound

This paper cites an unresolved cited work.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams Unresolved cited work

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:12:05.600728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f54cb03-1b82-4c11-9620-bf04c8d8f626 · outbound

This paper cites On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory

Reference 2020

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T23:12:05.452275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce95b0dd-7fe4-4514-af8c-8bc45c22da4e · outbound

This paper cites In Neural Information Processing Systems.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams In Neural Information Processing Systems

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:12:08.982282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.