Paper Citation Record · LEDGER

Future Link Prediction Without Memory or Aggregation

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2505.19408.

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

pith.paper-citation-record.v1
2505.19408 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:42.395182Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:36:46.427577Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:36:46.452078Z

Reference resolution

43 of 43 outbound references displayed

verified exact3
verified fuzzy24
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61feebdb-84ea-42d3-bfd8-c862258f6ccc · outbound

This paper cites The Surprising Power of Graph Neural Networks with Random Node Initialization.

Future Link Prediction Without Memory or Aggregation The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:36.259417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64856af-77b1-4940-b849-2f6692b3fbf0 · outbound

This paper cites Temporal graph neural networks for social recommendation.

Future Link Prediction Without Memory or Aggregation Temporal graph neural networks for social recommendation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:50.621574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39082cb2-7242-457c-aef7-9d805df23ec5 · outbound

This paper cites Towards Invariance to Node Identifiers in Graph Neural Networks.

Future Link Prediction Without Memory or Aggregation Towards Invariance to Node Identifiers in Graph Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:36.573294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed18f6f-7543-472e-8ff2-e82ef7382a3a · outbound

This paper cites Hot: Higher-order dynamic graph representation learning with efficient transformers.

Future Link Prediction Without Memory or Aggregation Hot: Higher-order dynamic graph representation learning with efficient transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:50.294355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d58dad3-1044-4198-9c2b-2ea08799da09 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Future Link Prediction Without Memory or Aggregation Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:36.931839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80450f18-c75e-4c76-aa0c-e26841beb98e · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:18:49.948802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a52fb145-39e5-475d-bc41-0defc0978605 · outbound

This paper cites Applications of link prediction in social networks: A review.Journal of Network and Computer Applications, 166:102716, 2020.

Future Link Prediction Without Memory or Aggregation Applications of link prediction in social networks: A review.Journal of Network and Computer Applications, 166:102716, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.687514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cbeb7328-bb2b-4398-a420-3650bea232ae · outbound

This paper cites Temporal link prediction: A survey.New Generation Computing, 38(1):213–258, 2020.

Future Link Prediction Without Memory or Aggregation Temporal link prediction: A survey.New Generation Computing, 38(1):213–258, 2020

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.356605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ea6176c-52ac-40ed-a107-c48e9ef31f3e · outbound

This paper cites Machine learning on dynamic graphs: a survey on applications.2023 IEEE Ninth Multimedia Big Data (BigMM), pages 32–39, 2023.

Future Link Prediction Without Memory or Aggregation Machine learning on dynamic graphs: a survey on applications.2023 IEEE Ninth Multimedia Big Data (BigMM), pages 32–39, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:49.059027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93f1d45d-f078-493a-ba28-e1adbe0abc1f · outbound

This paper cites A systemic analysis of link prediction in social network.Artificial Intelligence Review, 52:1961–1995, 2019.

Future Link Prediction Without Memory or Aggregation A systemic analysis of link prediction in social network.Artificial Intelligence Review, 52:1961–1995, 2019

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.738693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ef4f8c5-47fb-4ed1-91ac-40459b0f773b · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:18:48.485519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16856320-491e-415f-b26d-9adc55b0f361 · outbound

This paper cites Tempo- ral graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36, 2024.

Future Link Prediction Without Memory or Aggregation Tempo- ral graph benchmark for machine learning on temporal graphs.Advances in Neural Information Processing Systems, 36, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:48.158231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a8c8993-b515-41ee-bd29-c64699a55b46 · outbound

This paper cites Self-attentive sequential recommendation.

Future Link Prediction Without Memory or Aggregation Self-attentive sequential recommendation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:38.065114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1fdf86f-66b1-4cb0-aa15-28719e014b01 · outbound

This paper cites Representation learning for dynamic graphs: A survey.Journal of Machine Learning Research, 21(70):1–73, 2020.

Future Link Prediction Without Memory or Aggregation Representation learning for dynamic graphs: A survey.Journal of Machine Learning Research, 21(70):1–73, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:38.170311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f4b958-0f57-4370-b834-a0cbc0668e78 · outbound

This paper cites Learning temporal attention in dynamic graphs with bilinear interactions.Plos one, 16(3):e0247936, 2021.

Future Link Prediction Without Memory or Aggregation Learning temporal attention in dynamic graphs with bilinear interactions.Plos one, 16(3):e0247936, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.879261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb7521a0-37ed-46db-800f-b066f8ccc594 · outbound

This paper cites Predicting dynamic embedding trajectory in temporal interaction networks.

Future Link Prediction Without Memory or Aggregation Predicting dynamic embedding trajectory in temporal interaction networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:38.447173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ba5196-d008-4311-a6b1-a48c0fa2aa29 · outbound

This paper cites Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report).

Future Link Prediction Without Memory or Aggregation Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:18:43.252097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f7f895e-d2f0-4647-a086-30823c06b47f · outbound

This paper cites What graph neural networks cannot learn: depth vs width.

Future Link Prediction Without Memory or Aggregation What graph neural networks cannot learn: depth vs width

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:38.716308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3060d87d-07c1-47a0-bab8-a7d0f9b2f2c5 · outbound

This paper cites Neighborhood-aware scalable temporal network representation learning.

Future Link Prediction Without Memory or Aggregation Neighborhood-aware scalable temporal network representation learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.624297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54e2954f-c2c1-48a5-9175-d805a5fa9475 · outbound

This paper cites The neural hawkes process: A neurally self-modulating multivariate point process.Advances in neural information processing systems, 30, 2017.

Future Link Prediction Without Memory or Aggregation The neural hawkes process: A neurally self-modulating multivariate point process.Advances in neural information processing systems, 30, 2017

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.349414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6362e3c1-9f25-4803-a5df-8fae95cc95eb · outbound

This paper cites de Rijke.

Future Link Prediction Without Memory or Aggregation de Rijke

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:47.060391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ef68453-b7ac-41b0-a534-0c6c07b093a4 · outbound

This paper cites an unresolved cited work.

Future Link Prediction Without Memory or Aggregation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:18:46.777450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7d30cfb-2885-4f17-875e-3853ae3c5cb0 · outbound

This paper cites Towards better evaluation for dynamic link prediction.Advances in Neural Information Processing Systems, 35:32928–32941, 2022.

Future Link Prediction Without Memory or Aggregation Towards better evaluation for dynamic link prediction.Advances in Neural Information Processing Systems, 35:32928–32941, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:46.472907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc0842eb-d6ae-42e7-9c6b-130af9252398 · outbound

This paper cites Temporal graph learning for financial world: Algorithms, scalability, explainability & fairness.

Future Link Prediction Without Memory or Aggregation Temporal graph learning for financial world: Algorithms, scalability, explainability & fairness

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:46.211790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd2a629b-0fcd-4970-af8a-a4caa873520a · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

Future Link Prediction Without Memory or Aggregation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:39.720960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ef97a9-3938-41ed-9d9a-105acba1a267 · outbound

This paper cites Temporal graph networks for deep learning on dynamic graphs.

Future Link Prediction Without Memory or Aggregation Temporal graph networks for deep learning on dynamic graphs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:45.922340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba21ce28-fafd-4d7f-959b-a256eb4108b0 · outbound

This paper cites Methods and metrics for cold-start recommendations.

Future Link Prediction Without Memory or Aggregation Methods and metrics for cold-start recommendations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:40.007248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3616ae-3d40-4a63-8cb9-9d1fedb57b16 · outbound

This paper cites Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey.iEEE Access, 9:79143–79168, 2021.

Future Link Prediction Without Memory or Aggregation Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey.iEEE Access, 9:79143–79168, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:45.682629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f19a5c2e-b25d-492b-8b0c-ae2e7cc1ae94 · outbound

This paper cites Co-author rela- tionship prediction in heterogeneous bibliographic networks.

Future Link Prediction Without Memory or Aggregation Co-author rela- tionship prediction in heterogeneous bibliographic networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:45.419336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b64ac4bc-0124-4dc0-8b2d-817d55060ecd · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34: 24261–24272, 2021.

Future Link Prediction Without Memory or Aggregation Mlp-mixer: An all-mlp architecture for vision.Advances in neural information processing systems, 34: 24261–24272, 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:40.461567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d4f746f-4933-4236-891c-17a805df200c · outbound

This paper cites Dyrep: Learn- ing representations over dynamic graphs.

Future Link Prediction Without Memory or Aggregation Dyrep: Learn- ing representations over dynamic graphs

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:45.086193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81867d02-3006-44ac-9139-67c7ed1f4f5e · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 2017.

Future Link Prediction Without Memory or Aggregation Attention is all you need.Advances in Neural Information Processing Systems, 2017

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:40.710609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c388405f-2670-41ec-900a-3b06788d562c · outbound

This paper cites TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

Future Link Prediction Without Memory or Aggregation TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:40.876674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c6eaa9-352c-4a9b-8691-e10ef4bb5f87 · outbound

This paper cites Inductive representation learning in temporal networks via causal anonymous walks.

Future Link Prediction Without Memory or Aggregation Inductive representation learning in temporal networks via causal anonymous walks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:44.852877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3ce770e-b795-4a5a-9ce6-af685778ae83 · outbound

This paper cites Trend: Temporal event and node dynamics for graph representation learning.

Future Link Prediction Without Memory or Aggregation Trend: Temporal event and node dynamics for graph representation learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:44.618638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ae5f9b9-0a05-44f5-98c9-050f8745a1e5 · outbound

This paper cites Recurrent recommender networks.

Future Link Prediction Without Memory or Aggregation Recurrent recommender networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:44.367437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 376cac0e-2920-4197-b07a-9711ec7b2b72 · outbound

This paper cites On the feasibility of simple transformer for dynamic graph modeling.

Future Link Prediction Without Memory or Aggregation On the feasibility of simple transformer for dynamic graph modeling

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:44.126495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3edf47b-432e-4f9e-8955-58259871869c · outbound

This paper cites Inductive representation learning on temporal graphs.

Future Link Prediction Without Memory or Aggregation Inductive representation learning on temporal graphs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:43.923534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66fd8a9b-53ea-49a8-8930-c4b7de6ce524 · outbound

This paper cites Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours.

Future Link Prediction Without Memory or Aggregation Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:18:42.977402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a587110-2258-4436-a7e8-bb1623b04e92 · outbound

This paper cites Tgb-seq benchmark: Challenging temporal gnns with complex sequential dynamics.

Future Link Prediction Without Memory or Aggregation Tgb-seq benchmark: Challenging temporal gnns with complex sequential dynamics

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:43.715961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a695844f-5ba7-4343-b13f-441549782454 · outbound

This paper cites An Empirical Evaluation of Temporal Graph Benchmark.

Future Link Prediction Without Memory or Aggregation An Empirical Evaluation of Temporal Graph Benchmark

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:18:42.710026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4561d95-d4b5-40bb-9d3f-c95739ca272e · outbound

This paper cites Towards better dynamic graph learning: New ar- chitecture and unified library.

Future Link Prediction Without Memory or Aggregation Towards better dynamic graph learning: New ar- chitecture and unified library

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:18:43.546894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24304d45-1834-4771-95e3-a1c05f01d0d6 · outbound

This paper cites A survey of dynamic graph neural networks.

Future Link Prediction Without Memory or Aggregation A survey of dynamic graph neural networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:42.395182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0b3e553f-14c9-46d2-9030-8a4d6669b71d · inbound

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting cites this paper.

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting Future Link Prediction Without Memory or Aggregation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:36:46.456709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.