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Paper Citation Record · LEDGER

MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19086.

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

pith.paper-citation-record.v1
2405.19086 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:36.382919Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:35.398748Z

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 216b3c8a-152f-448f-90c2-11b557709b73 · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:36.382919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:36.382919Z digest=sha256:2f32ddb160f8073a52e526a1cca2fe92f1d54ea4a432de1dcca9ce8c4477e388

Observation 992d3f5f-1805-4d52-a985-b77ec1a010e5 · inbound

Benchmarking and Rethinking Knowledge Editing for Large Language Models cites this paper.

Benchmarking and Rethinking Knowledge Editing for Large Language Models MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:43.376260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:43.376260Z digest=sha256:7b09bc0992688d2f431a0232177603af63aac4707554aeed628e8fc61f66d1fc

Observation bad98cf4-9b0d-443d-8d72-391fd1db5332 · inbound

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence cites this paper.

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:35.399896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T19:03:00.055800Z digest=sha256:6a7234c60bd02d52f996e3ae4446ba053494815b8301f04df5c94ef0687ca61c