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Paper Citation Record · LEDGER

Future Link Prediction Without Memory or Aggregation

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations 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 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.259417Z digest=sha256:0cdaca7ce2a02b2f07dc33c7de2ed321f2cefbc891a12351d61586044fe5925c

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:36.437050Z digest=sha256:3528ff7948f110ee107867c923b78ad097c9f38f3290e3594900e3943c606cac

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.573294Z digest=sha256:8b6e76c0f38596f5287568ce036cee1a4fbe5dc97434618465cad7935fb989bd

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:36.745736Z digest=sha256:55bd91d47da273c45336850e959467887130a49d293791a9575ef95ebd216f27

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:36.931839Z digest=sha256:ce5efbd53ed191d38375976df9a80d8dd6ad2607d20998e3a97fb54ede1cc3d9

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.051349Z digest=sha256:6af87b4148099f0eb4a5f3eff0a8e867ac3e4cb8906fc5e2db0a88fb7f73469f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.193075Z digest=sha256:8fcc2925262cb3d893fd81b110bec0d24020ef4a67113f3a83cea81af7241999

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.334476Z digest=sha256:58e72d3c86514113ad505df2ab7a368397611d7ba88d8f5548e232d3c6e02529

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.455618Z digest=sha256:545d963c699a8a3a71f21a4387b5a31f9b29f05fe89b63e3124e2e18cf00fb9f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.617806Z digest=sha256:52b38742d2320d0f95a91fb6921a1f9e30deadf28b25dabd5d00f6734342e349

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.739501Z digest=sha256:c7fa365c8da21c1b6596cd92b1c291e23c0e8c48365fcd1537417beb64d7c741

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:37.896845Z digest=sha256:e6910888f1e8ed79cb19c99e0eb1a43bec5af2b08fa660ec89f27b3d7b830b59

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.065114Z digest=sha256:507ec9b201d05b81f6e4cb7329f3b746c3128f6fc1ae1503265752086c596a09

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.170311Z digest=sha256:7d01a7baecc900a7569360226380407703e76e293660686e72bc03144337fca1

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:38.316908Z digest=sha256:5f58d2f209aa2c964c42ecfd535c0bf914d9b03e76e578faa750fcd42806968d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.447173Z digest=sha256:4066c0cef39b70a6fbb13d4e007f857b7af6b8ec3e4770aeaa71bc950f3e0c3d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:38.569906Z digest=sha256:aa7ce990a608b50b47a5ed9776f74922003262f2dd2850a3bf7f629256c2fc28

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:38.716308Z digest=sha256:7693918af18dac6b7a80ac92f73e4a81e82ea8e59e3d4a6aafade7bc9a4fc6ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:38.861542Z digest=sha256:a56c739dcb1071fc64b07a163c348a8fdd0fe83e8086ea72c789bbbd24b61bc3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:38.983824Z digest=sha256:b08c4bcc945087a62305912af31d6494e45324e664fec168461aec8f378113d7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:39.138254Z digest=sha256:1420cd1be698a6771ba1249e38e3cbefb58f5592ed1373ca1051121118648803

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:39.261524Z digest=sha256:df46461c101fc55fd13b2899949559c2d968c5527248dd59b35d88eeabbce744

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:39.384406Z digest=sha256:b30b1dc1e139d403454a3e8df1ee97d21c7d4e101cd004e73c8a440d6ee3d497

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:39.535700Z digest=sha256:d2dff6c9868d0da79ded436d863a93d498e9dfae2e685eb654975fcf24c2f3e0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:39.720960Z digest=sha256:81c070d2a13bbc03fb68d6d9003a8797601000ec49f0d6749b1b4c551b5a192c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:39.862888Z digest=sha256:a15aa5b988382a7f620106d9e6c84e2355f1eceb335845a20e948ccc5046bc5f

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.

source=pdf_text observed=2026-08-07T14:18:40.007248Z digest=sha256:94011b6f4b9e1e14f3e23f42d33c73abe438cbe69dcf649cf810d352fa2c11fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:40.159349Z digest=sha256:20c73792a53487e77ca24a9c62b805b4598c0a83873ce8edffc209333bd2a74c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:40.295194Z digest=sha256:f147decd4fe033c2591523490e8cf83d07849d473f4e3ad5c4a72c65f55c9f96

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.

source=pdf_text observed=2026-08-07T14:18:40.461567Z digest=sha256:4e44626490f3a2da2f51e7b6411ac1cd7744b4996f5a3b078eacf19eaa70c17e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:40.566477Z digest=sha256:e090d608b21456f87bb73ab69c0195007f53e9b8487aa1df9a44f43ba4c8d75f

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.

source=pdf_text observed=2026-08-07T14:18:40.710609Z digest=sha256:7deb6b4755755d3da835195da40bbd51735d557cded2b5ba4503475164e64529

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.

source=pdf_text observed=2026-08-07T14:18:40.876674Z digest=sha256:06da9e72d66c97b9945fb7da3116394e9cbbafeea8fb5b437337d5ec36cb7c50

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:41.006458Z digest=sha256:61993e6d519a65484be4a29e673ff6fdb67e93f142eeff8f2e2acc9ce5ecf21f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:41.139974Z digest=sha256:07e8077a3b9cfc25493a5c8ba47d1d43afb0ea8acd299c1652748324cd8fa831

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:41.986832Z digest=sha256:54c9046f0253509b15acf1b1b6bb8461f704bc1fe7fed7ef9a18a85d49339950

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:18:42.244686Z digest=sha256:614a630a3523a533f6c00f6425721660b429500a5850e8aa839050ffd59179d9

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.

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Pith citing papers

No inbound Pith citation observations are available.