Paper Citation Record · LEDGER

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2506.12588.

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

pith.paper-citation-record.v1
2506.12588 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:59.613373Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:38:30.952590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.444208Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd25f159-88d6-49df-a129-6264fb9225a1 · outbound

This paper cites DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:58.781862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e963f9-d6ca-4f1d-9f44-cbb46362b3df · outbound

This paper cites Long Range Propagation on Continuous-Time Dynamic Graphs.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Long Range Propagation on Continuous-Time Dynamic Graphs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:58.837689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae9c5440-8f65-4c80-8ed7-f198b6ce1aad · outbound

This paper cites Yang Liu, Alan Medlar, and Dorota Glowacka.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Yang Liu, Alan Medlar, and Dorota Glowacka

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.587565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ec0aca1-ee75-45cc-84ec-153d459fc266 · outbound

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

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:59.378799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea9cb029-7b78-4d54-b552-08f0d22801a9 · outbound

This paper cites Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, and Ji-Rong Wen.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, and Ji-Rong Wen

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.071868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73094ef1-02ba-44ab-97d5-64f843de6c50 · outbound

This paper cites Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, and Kun Gai.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, and Kun Gai

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:59.906829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31b8628c-47b7-45f6-bd3a-d0abf54f28c5 · outbound

This paper cites an unresolved cited work.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Unresolved cited work

Reference 1980

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:50:00.414314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5817425-92e8-4392-8c17-f5ec1153e5e1 · outbound

This paper cites Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M Bronstein, Mathias Niepert, Bryan Perozzi, et al.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M Bronstein, Mathias Niepert, Bryan Perozzi, et al

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:01.077422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9079069d-fa8c-4753-86b1-1c8cc5cfe9c4 · outbound

This paper cites Balázs Hidasi and Ádám Tibor Czapp.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Balázs Hidasi and Ádám Tibor Czapp

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.697610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2c4259a9-b431-4fd2-92b7-5fd44f3d1c53 · outbound

This paper cites InProceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction InProceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:49:59.751417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e7369e5-0ce8-4507-a3bf-defe610cee72 · outbound

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

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:59.267308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2137dc-44f2-4be6-834c-977d2dbd385d · outbound

This paper cites OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:58.909465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e03e537-5a4c-4eb8-bc65-ade41e3604ce · outbound

This paper cites Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, and Mehrdad Mahdavi.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, and Mehrdad Mahdavi

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.933733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f626b34c-d893-432c-afc9-a3481621d7b3 · outbound

This paper cites In2023 IEEE International Conference on Data Mining Workshops (ICDMW).

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction In2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.234934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7518eedb-3b81-4fd2-b7cf-f60f8cfb127b · outbound

This paper cites InESANN 2024: Proceedings.

Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction InESANN 2024: Proceedings

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:50:00.818156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 583710b1-b8bc-4ab2-a913-5091f7190b3a · inbound

What Do Temporal Graph Learning Models Learn? cites this paper.

What Do Temporal Graph Learning Models Learn? Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T10:38:30.952590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659452fc-0a3a-4081-94d0-01d4e1baca7e · inbound

Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs cites this paper.

Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs Are We Really Measuring Progress? Transferring Insights from Evaluating Recommender Systems to Temporal Link Prediction

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:50.445955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.