Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:59.766375Z
Paper Citation Record · LEDGER
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2505.22768.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:38.822507Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 187fd7a7-ee52-4648-96fd-ac048a0084f8 · outbound
This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Foundational Models Defining a New Era in Vision: A Survey and Outlook
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.391697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cba5ac0-73f8-44d1-8093-4e909729106e · outbound
This paper cites an unresolved cited work.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:05:01.628850Z
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 c73687fe-d3f2-49db-8d70-4573e89fb97a · outbound
This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:59.014129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf72b687-7371-407a-a690-d4a2143e33ec · outbound
This paper cites A Survey of Large Language Models.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting A Survey of Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:59.293692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3736cb47-c7ef-43c8-8909-48a0463f0be3 · outbound
This paper cites 5 Submission and Formatting Instructions for ICML 2025 A.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting 5 Submission and Formatting Instructions for ICML 2025 A
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:05:01.782365Z
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 4b6fa8db-3c51-4c1f-a6be-14ec4d3f20d5 · outbound
This paper cites All experiments are conducted on a single NVIDIA A100 GPU with 42 GB of memory.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting All experiments are conducted on a single NVIDIA A100 GPU with 42 GB of memory
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:05:01.028149Z
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 280c4b1a-9460-4517-a1ce-4e4f730358cf · outbound
This paper cites The graph embedding dimension G is consistently set equal to the model channel size C.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting The graph embedding dimension G is consistently set equal to the model channel size C
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:05:01.417317Z
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 640e8035-07b6-4752-8231-fd85c23229d2 · outbound
This paper cites Tsmixer: An all-mlp architecture for time se- ries forecasting.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Tsmixer: An all-mlp architecture for time se- ries forecasting
Reference 1946
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.567068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 261a64f0-aee9-4829-af4b-196072a01f11 · outbound
This paper cites Fast Graph Representation Learning with PyTorch Geometric.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Fast Graph Representation Learning with PyTorch Geometric
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.682013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30dffe4a-aa86-4e18-a8b5-712290ff4d26 · outbound
This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:59.162184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d409401-9dbc-4ef9-87b5-f4f52c7d0ab4 · outbound
This paper cites Diffusion Improves Graph Learning.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting Diffusion Improves Graph Learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.792361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dc2b27a-1d0a-49c7-bf13-a787ab21be29 · outbound
This paper cites O., Kurban, H., Aljihmani, L., Qaraqe, K., Petrovski, G., and Dalkilic, M.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting O., Kurban, H., Aljihmani, L., Qaraqe, K., Petrovski, G., and Dalkilic, M
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.502250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e460b09-7d85-49d3-a6b8-d779d44aa2b3 · outbound
This paper cites TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:58.905036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 751ef215-0ec7-45f8-8b51-bf20cac37554 · inbound
The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting cites this paper.
The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:16:38.822507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.