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Paper Citation Record · LEDGER

The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12766.

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

pith.paper-citation-record.v1
2410.12766 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:24:43.483624Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:13:44.256514Z

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 8007cdc5-4228-40f6-b71d-ca9b2c7e87d9 · inbound

How to Merge Your Multimodal Models Over Time? cites this paper.

How to Merge Your Multimodal Models Over Time? The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:43.483624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:24:43.483624Z digest=sha256:7fd1d2ef3795908a2a4789e380e5cf81828f27951ffee9f308df8af6d7b53487

Observation b5f8f3f7-5271-491b-9174-f91cfe0675f9 · inbound

Continual Learning in Vision-Language Models via Aligned Model Merging cites this paper.

Continual Learning in Vision-Language Models via Aligned Model Merging The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:13:44.334300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T12:13:43.501858Z digest=sha256:83925997f866bbb0de1f22f1c6891eb9e3435bb3a5320e6382afbc8cfd48f5f9