Paper Citation Record · LEDGER

Scaling Expert Language Models with Unsupervised Domain Discovery

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.14177.

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

pith.paper-citation-record.v1
2303.14177 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:19.320715Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:46:11.396256Z

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 b700499a-34f2-4a2c-ac60-b4c67ed46b52 · inbound

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging cites this paper.

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:19.320715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea4f49c-d8e5-4686-86dd-5cdaa69a665a · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.715368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae30110-bb3e-4e18-a4d6-5bbae9eb14ae · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:16.056141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b18a3884-6931-4579-99ec-079050cc2964 · inbound

Parameter Alignment Mitigates Catastrophic Forgetting in Multilingual Expert Language Models cites this paper.

Parameter Alignment Mitigates Catastrophic Forgetting in Multilingual Expert Language Models Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:11.397719Z

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.