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Paper Citation Record · LEDGER

Emergent Modularity in Pre-trained Transformers

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.18390.

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

pith.paper-citation-record.v1
2305.18390 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:52:32.878971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:06:04.926330Z

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 95688790-e114-4fdd-9e24-9b7037520c12 · inbound

Bridging Brains and Models: MoE-Based Functional Lesions for Simulating and Rehabilitating Aphasia cites this paper.

Bridging Brains and Models: MoE-Based Functional Lesions for Simulating and Rehabilitating Aphasia Emergent Modularity in Pre-trained Transformers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T00:52:32.878971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:52:32.878971Z digest=sha256:f076a6dd260503af55b8f4b6b698dfb5026c32470d1a5cc551a2ce3992a6e30f

Observation b5c592de-c18e-4f26-b380-a8be408aa7f5 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Emergent Modularity in Pre-trained Transformers

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.929407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:4d5b3e466632ede7ca1fdabce670a4af537b2b9b05c889fff73c4559b7d4eca0