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Paper Citation Record · LEDGER

HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09375.

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

pith.paper-citation-record.v1
2407.09375 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2026-08-04T13:29:31.004820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:12:11.746922Z

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 61f47703-33a8-4c7b-9b4e-d19dc5038778 · 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 HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:12:11.749882Z

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.

source=pdf_text observed=2026-05-22T22:07:12.198095Z digest=sha256:5d6be7985f1551ebb29c86e7812c5ff8ad89f53583b23f38d4c731c00ef63cb7

Observation 0fabc04b-78fa-4163-9d33-373a4f6f7aea · inbound

How Can Mamba Learn In Context with Outliers and Generalize Provably? cites this paper.

How Can Mamba Learn In Context with Outliers and Generalize Provably? HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T13:29:31.004820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:29:31.004820Z digest=sha256:38417e4c80fdec3cfb308344f95e5224cfbd30f2845e2bb7a6f034131bcfb95d