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Paper Citation Record · LEDGER

Scalable Multi-Domain Adaptation of Language Models using Modular Experts

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.10181.

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

pith.paper-citation-record.v1
2410.10181 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:16.070168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:38:19.046006Z

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 934d928c-705e-4958-ace5-9dcb40230833 · inbound

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

FlexOlmo: Open Language Models for Flexible Data Use Scalable Multi-Domain Adaptation of Language Models using Modular Experts

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:16.070168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:16.070168Z digest=sha256:6cb607fea4807c3e579f3d48fd9749c69cb4938b1d443b3661d158eb4d55ac65

Observation ade60520-ad2f-4897-a722-e51005663cf1 · inbound

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains cites this paper.

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains Scalable Multi-Domain Adaptation of Language Models using Modular Experts

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:38:19.048321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T13:38:07.140289Z digest=sha256:01b1a0ba633807dd3b6fd945cb5c455f40f191d07de77d476de3896f4b6554cb