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Paper Citation Record · LEDGER

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.01104.

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

pith.paper-citation-record.v1
2203.01104 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:40:48.168090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.811036Z

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 1707126b-88c3-4a63-ae03-3432f0526543 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:35.452797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:35.452797Z digest=sha256:447de572c7964de33bee00c3f232dc6af257ae263c1f5acea906161c5d80baae

Observation 4baba0fe-74ee-4ce2-9811-8d7d6b09a8a0 · inbound

Reproducibility Study of "Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents" cites this paper.

Reproducibility Study of "Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents" Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:40:48.168090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:40:48.168090Z digest=sha256:16584e8767bd791468f305244c3dad449de5e7c1792049cae13c2750da65c2bf

Observation 1312e39f-1b42-4200-9afa-5f4ea69f4a0f · inbound

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models cites this paper.

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T19:04:16.547549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:04:16.547549Z digest=sha256:7ebb3efdefacf65acc7868f202933ac1563e70651197f145a5d1dc2e4142da4b

Observation 7d6f9ac4-ca5a-4982-bd60-a06c9c1709a3 · inbound

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation cites this paper.

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:13:44.061531Z

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=pdf_text observed=2026-05-20T20:09:50.546911Z digest=sha256:baee160735d04618fab79695a8aaec08bf1690e01ceeb02174669dc00b4430c8

Observation 57bb45f1-1410-4d86-96ba-796e23276792 · inbound

ASAP: A Disaggregated and Asynchronous Inference System for MoE Prefill cites this paper.

ASAP: A Disaggregated and Asynchronous Inference System for MoE Prefill Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:39:46.812502Z

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=pdf_text observed=2026-06-26T09:42:39.573568Z digest=sha256:6060744298a584fb5c1eed0e8267ddbef4f2cc0a53ac289da463d19b6aca0808