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Paper Citation Record · LEDGER

LATMOS: Latent Automaton Task Model from Observation Sequences

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.08090.

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

pith.paper-citation-record.v1
2503.08090 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:52:21.274750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:08:21.411875Z

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 09b927b7-6421-425e-a9a4-5f447829023e · inbound

Prompting Robot Teams with Natural Language cites this paper.

Prompting Robot Teams with Natural Language LATMOS: Latent Automaton Task Model from Observation Sequences

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T13:52:21.274750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:52:21.274750Z digest=sha256:52cd24c86828bf1311c34a8bb11755ed84f3244df2635b12e763ce5ffe834b1e

Observation 8fa60ade-d8a1-43be-959e-b0f40e7f7f94 · inbound

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories cites this paper.

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories LATMOS: Latent Automaton Task Model from Observation Sequences

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:08:21.413804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T00:08:16.186576Z digest=sha256:883b21eec9f2e78a321def6ea0bc3e974aeef7862ca098d3b94f3f061de5ab04