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Paper Citation Record · LEDGER

Learning higher-order sequential structure with cloned HMMs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.00507.

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

pith.paper-citation-record.v1
1905.00507 v4

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 2026-08-12T14:44:27.822314Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:40:59.887908Z

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 3515c35e-4a0d-4ba6-9456-5bd843926503 · inbound

Free Energy Projective Simulation (FEPS): Active inference with interpretability cites this paper.

Free Energy Projective Simulation (FEPS): Active inference with interpretability Learning higher-order sequential structure with cloned HMMs

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T14:44:27.822314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:44:27.822314Z digest=sha256:752330764a198f9ecb5674a260b897cf4d5360c2e0c4bd68e286fcc6815f9c0d

Observation 16078ba0-f8ee-4248-88a5-e724faf3065b · inbound

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models cites this paper.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models Learning higher-order sequential structure with cloned HMMs

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:40:59.940388Z

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=2026-08-07T11:40:35.917029Z digest=sha256:16a69eb7ea2c728c6bc42f7103b5c6a25632d47c70d0bc52c4804af2b7e2719f