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Paper Citation Record · LEDGER

Discrete Graph Structure Learning for Forecasting Multiple Time Series

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.06861.

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

pith.paper-citation-record.v1
2101.06861 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:21.242415Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:21.416808Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9b6898c9-e77e-4f65-94aa-21629804f304 · inbound

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies cites this paper.

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:21.242415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:21.242415Z digest=sha256:60a64d602535592b2cb25077ac22e0d275002023e3a14d828f1bdad1120bdfaf

Observation e0adfb3e-ffc4-4432-869f-b3530f13c53a · inbound

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba cites this paper.

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:32:00.261889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T07:29:41.423636Z digest=sha256:4231909c07ea11a3b9696ed6893765f0c587373ed7199ec94374f315d62bbd8f

Observation 613c3aad-8a25-4c25-ab46-dae95217e55e · inbound

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting cites this paper.

SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:16:11.269578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T09:39:46.973876Z digest=sha256:f34a9735acc5e5f830a56dde18b8451020b42915f89d3700cbb8397e11002752

Observation c25fac2f-8abc-45a1-b9c6-60deae7294b4 · inbound

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics cites this paper.

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:19:46.969403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T07:15:00.593409Z digest=sha256:a7a33ee009b07a470adf110ec123ac04043fdadaab287a74819ceb359736f9ae

Observation 714bcd9a-55b7-4ba2-88c4-a74644e95933 · inbound

Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation cites this paper.

Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation Discrete Graph Structure Learning for Forecasting Multiple Time Series

Reference 211

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.418479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:26:06.663975Z digest=sha256:f07555aea921d9ffc7370b3a795d228b280abba7e7d3a5e2262def43cfed295b