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Paper Citation Record · LEDGER

Effectively Modeling Time Series with Simple Discrete State Spaces

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.09489.

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

pith.paper-citation-record.v1
2303.09489 v1

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:10:25.794284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:33:43.252203Z

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 34f80500-d800-4135-909a-33945c3c19a7 · inbound

A Review of the Long Horizon Forecasting Problem in Time Series Analysis cites this paper.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:10:25.794284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.794284Z digest=sha256:185ebbc864af3f6d1b6dfcba22b4a6e58e5b7b8a15319c1095da3a25ff4e053c

Observation ea67c416-6adc-4f70-8e95-fe20a57b8836 · inbound

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms cites this paper.

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 85

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T04:00:50.906089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T03:58:21.662596Z digest=sha256:c5eac3d5dabab8274124282b6c1a8d346213b5b64252d18175fe681176953c70

Observation eee75808-ce5f-439f-b781-ee6049cf1ed9 · inbound

Horizon Activation Mapping for Neural Networks in Time Series Forecasting cites this paper.

Horizon Activation Mapping for Neural Networks in Time Series Forecasting Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T12:40:56.856008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:40:56.856008Z digest=sha256:38d5ffd7cd68278354aa44426fe611692ca6e03ad89dba9765bd5d82437d540a

Observation 4459c1ca-dfed-452f-846c-904b320fee60 · inbound

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo cites this paper.

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:42:32.286995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T17:39:47.634924Z digest=sha256:dbba58377f8825c5ea72407fa2368d10af2ab199dcc49b6206e2199d33c4203a

Observation 2e6ec6a6-b0e8-4704-a309-49d67b4674d4 · inbound

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models cites this paper.

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:33:43.255014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T20:31:07.818509Z digest=sha256:74ee17d48176b083d98f0085663666787823d1cb5eb6c00ff1dfd40edd440e30