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Paper Citation Record · LEDGER

Scaling Laws for Multilingual Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.12883.

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

pith.paper-citation-record.v1
2410.12883 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:03.535189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:19:27.427887Z

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 d415e635-c220-4ec0-81e2-86bf1defd1bf · inbound

M-Wanda: Improving One-Shot Pruning for Multilingual LLMs cites this paper.

M-Wanda: Improving One-Shot Pruning for Multilingual LLMs Scaling Laws for Multilingual Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:42:03.535189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:42:03.535189Z digest=sha256:4fffd321c6f73486d7d21d1b4cb06d0a10d400674b5d5a0d9bc2b3966daafd6b

Observation 2e883438-338e-4e01-a0ba-810c8e46df2d · inbound

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging cites this paper.

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging Scaling Laws for Multilingual Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:12.898017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T20:05:53.769660Z digest=sha256:10e54a632112619f4ef9b083da0e4d2393753e109921bd7315b0dfea23eb7a68

Observation c38f22b8-dd62-4a94-95f0-42c2958225e8 · inbound

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings cites this paper.

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings Scaling Laws for Multilingual Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.432112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:17:26.661595Z digest=sha256:5cba9bd011a5bd34c5c104b1ef828f414c01d4fa219aa4c50c122dfdcf5b5d64