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Paper Citation Record · LEDGER

German's Next Language Model

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.10906.

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

pith.paper-citation-record.v1
2010.10906 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.294336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:20.113761Z

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 18191655-5a7c-4033-99ed-5ff4c743f45c · inbound

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring cites this paper.

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring German's Next Language Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:34.294336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:34.294336Z digest=sha256:e73dc1775f15c821a20cd043fe96914ce8b1e1a3db5bf0b263ebbe26e99720a1

Observation e712437f-b17b-43ce-9be4-8166bd7392ea · inbound

Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? cites this paper.

Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? German's Next Language Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:38:11.479835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:11.479835Z digest=sha256:d07f97e0cf71f73da91537351aaecb67927e2a505c70d50442db7d08437ad79f

Observation 1300c2c3-b3a2-4ecd-91e5-13c3fc044106 · inbound

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian cites this paper.

Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian German's Next Language Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T05:19:29.144984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:19:29.144984Z digest=sha256:8275745eb2fbeb8930852665510e85e55c7297ca4a844de8f4dac8d312a6dfe4

Observation 811c569a-8b49-49d8-9c9b-4c2532289024 · inbound

PortBERT: Navigating the Depths of Portuguese Language Models cites this paper.

PortBERT: Navigating the Depths of Portuguese Language Models German's Next Language Model

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:20.116188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T14:43:28.401687Z digest=sha256:f3ec59b2cd4941e73a73c18fdf718f96aa5ead1aa57bd3bb02a795d1399149ad