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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04713.

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

pith.paper-citation-record.v1
2408.04713 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:58:58.358734Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:26:45.720095Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 7d5db003-da37-4076-8b29-9ca03ef24ee4 · inbound

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba cites this paper.

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:12:11.809800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:e94c86408051ce042441604fb67bc02b05be497265ddc957aae9929bf48975a9

Observation 91217633-e8f0-4768-af84-77e8cdf04c9c · inbound

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs cites this paper.

DuConTE: Dual-Granularity Text Encoder with Topology-Constrained Attention for Text-attributed Graphs DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:09.928520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T05:49:52.864722Z digest=sha256:fa91323b5fe09c428d5d70e4ee111f1c8082e3a19b3b85ebbf835d3631b11ec6

Observation 633e5378-5c65-4797-a1e8-cb698ba0f5ba · inbound

Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models cites this paper.

Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:26:45.721702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T06:58:58.358734Z digest=sha256:31b95a1abce6046b22e6a17be202dbb789c3ea0e7b9e2c6c7b2fe254352cf84e