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Paper Citation Record · LEDGER

Model Assembly Learning with Heterogeneous Layer Weight Merging

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.21657.

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

pith.paper-citation-record.v1
2503.21657 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:59:24.736489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:01:11.778734Z

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 6daa6cd5-4674-47f2-8cb4-13a2ec432f37 · inbound

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging cites this paper.

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging Model Assembly Learning with Heterogeneous Layer Weight Merging

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T18:59:24.736489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:59:24.736489Z digest=sha256:c3b2b741a75ef48a38294ed2eb256531bd4fe7bc6bf0ba501c176589b47a39eb

Observation 8e7a8c90-b7c2-4a83-a985-37eb2a1f9595 · inbound

Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation cites this paper.

Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation Model Assembly Learning with Heterogeneous Layer Weight Merging

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:01:11.781546Z

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=arxiv_source observed=2026-05-22T06:59:09.799156Z digest=sha256:5b6bcb081738678d02c5136dbc6ca6d0b657da320add71a7bdb8f2c3fcf7f44f