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Paper Citation Record · LEDGER

Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.01772.

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

pith.paper-citation-record.v1
2301.01772 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:40.682113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:37.202845Z

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 ef4a7882-a987-4145-af26-5b56bd0c686b · inbound

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting cites this paper.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:37.204517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T14:07:11.942435Z digest=sha256:073e015625509b5228e12d5811360641e532814144b30f398477e2caf052cae8

Observation c09443d2-32f3-4fa4-b4d6-c78e779d1e69 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-12T00:39:40.682113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:39:40.682113Z digest=sha256:1fcbd9dc1112d4ef0d1a96c330b6a6b495ba532cf13686b1a3959dff367fbd05