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Paper Citation Record · LEDGER

H2O-Danube-1.8B Technical Report

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.16818.

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

pith.paper-citation-record.v1
2401.16818 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:20:32.559404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:30:03.026591Z

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 033b67d2-727e-4f18-a939-b2ea0cd480fd · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models H2O-Danube-1.8B Technical Report

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T16:20:32.559404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:20:32.559404Z digest=sha256:fd4cd7f97cec123d9687624508cf58bc353ef5f4b12b742dbe72e4f9a2e3acdc

Observation be07ac1f-ca76-4fb9-9981-ed5f56555fc4 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model H2O-Danube-1.8B Technical Report

Reference 223

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:30:03.028155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:e1841d1d95f1cbee2f3ac4d46e2cb5de844da9c5b9553ac13fde2a7450107ce7

Observation e55e2b03-c4ad-4e55-ab6d-d5f5686ccf81 · inbound

Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models cites this paper.

Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models H2O-Danube-1.8B Technical Report

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:54.109528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T03:31:33.964471Z digest=sha256:d4f28c77c2ce68901e91d55c375d27706cdaf68c9288f2295d23937c296aa5a2