Paper Citation Record · LEDGER

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.14235.

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

pith.paper-citation-record.v1
2506.14235 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:37.464415Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c67995e4-9d62-4054-a571-94f166ad0251 · outbound

This paper cites History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:23:38.401472Z

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 d870f9ab-ed3f-4d9e-81ba-5b9bf1b74bb2 · outbound

This paper cites InPro- ceedings of the Web Conference 2018, pages 1771–.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InPro- ceedings of the Web Conference 2018, pages 1771–

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.788505Z

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 c8c7ba14-7fd2-466c-aa71-4c6b299fd827 · outbound

This paper cites InFindings of the Association for Computa- tional Linguistics: NAACL 2024, pages 4303–4317.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InFindings of the Association for Computa- tional Linguistics: NAACL 2024, pages 4303–4317

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.106907Z

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 112e9b29-1c38-46ca-b26d-8f297d871ac6 · outbound

This paper cites Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.371293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b00a7ba-5ac4-4de8-a550-cce3205c0fde · outbound

This paper cites InFindings of the Asso- ciation for Computational Linguistics: NAACL 2024, pages 1178–1191.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InFindings of the Asso- ciation for Computational Linguistics: NAACL 2024, pages 1178–1191

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:38.729332Z

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 e5e44744-a840-4f3e-8aa3-42869c6eff42 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.660064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1cf78ec-2b20-4795-8c5c-6bec4eba8334 · outbound

This paper cites A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:23:38.038748Z

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 586e21ad-c0e7-4140-963b-d22c883ef8cf · outbound

This paper cites Logic Diffusion for Knowledge Graph Reasoning.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Logic Diffusion for Knowledge Graph Reasoning

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:23:37.712673Z

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 ed1a915f-5f59-425f-bb3e-3ce7291bea8c · outbound

This paper cites Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:37.464415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c69e8c-c29e-4f60-a859-b341bdaf753a · outbound

This paper cites Multi-Task Deep Recommender Systems: A Survey.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs Multi-Task Deep Recommender Systems: A Survey

Reference 351

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:36.985960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d18161-d9b1-4e9b-87c1-c30cd99183d0 · outbound

This paper cites InISA annual convention, volume 2, pages 1–49.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InISA annual convention, volume 2, pages 1–49

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.364917Z

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 c33672f6-25d5-4e4f-abb4-76046cbff671 · outbound

This paper cites InProceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4816–4821.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InProceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 4816–4821

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:40.208848Z

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 220fc0ae-b18c-403c-bf77-694b22b33dd0 · outbound

This paper cites InProceedings of the 2020 Conference on Empiri- cal Methods in Natural Language Processing, pages 6669–6683.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InProceedings of the 2020 Conference on Empiri- cal Methods in Natural Language Processing, pages 6669–6683

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.999998Z

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 d85fd7d0-8c30-49c4-9b70-c89bd13e8609 · outbound

This paper cites InProceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs InProceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:23:39.590925Z

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 e43dedc4-f16e-422b-b181-1373bc66df2c · outbound

This paper cites A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting.

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:35.150678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.