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Paper Citation Record · LEDGER

Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.13656.

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

pith.paper-citation-record.v1
2408.13656 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:02.110444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.734861Z

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 d680c1b8-2d0d-4e15-abb8-aa67118e3e70 · inbound

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic cites this paper.

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:02.110444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:01:02.110444Z digest=sha256:9adac3a45b91b309f4bacf4cc6d611c57e98b1e564dd50b0d6714321e853babc

Observation d75c328c-2c4d-42fc-b480-ad838db81328 · inbound

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging cites this paper.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:03:12.563994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:03:12.563994Z digest=sha256:08de4a384573d0a36578d321063e0a64a68fbec56ca00a7145607759de8e6d32

Observation 7f8a18a1-2ca8-4822-a646-55e5456bf810 · inbound

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference cites this paper.

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T23:41:52.862989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:41:52.862989Z digest=sha256:d3daab506dd844c014210fb419bf52e976d7e97f6af3ab1f6ab29e938e1e90f9

Observation e43cc983-109c-48fd-bb3d-e5e1450ab239 · inbound

Can Heterogeneous Language Models Be Fused? cites this paper.

Can Heterogeneous Language Models Be Fused? Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:00:02.109077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T10:57:01.529364Z digest=sha256:4cb3c3afd63fd95902343109a12257b5e98ed20fe3b7ba40d8d9a474f89068fa

Observation 0808b502-bbc4-41ea-a039-f97a1d03be03 · inbound

DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging cites this paper.

DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:58.890140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T20:24:30.679219Z digest=sha256:a4dd667f5e4b95a84813b8393b8c65ed44af9c5b15e1b5698f46c8b0ecc7f00a

Observation ce9cfa11-ab37-4404-8414-5b54a5307de9 · inbound

DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging cites this paper.

DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:14:05.744082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T09:12:22.712240Z digest=sha256:498734a024a38c1f5ead08a5ab0bac5bfa581ddc302dd21911a4dd5efd1228c3

Observation 6c131ad2-fe3b-4c4b-97e5-8b0cded19511 · inbound

Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing cites this paper.

Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:03:29.419595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T14:00:31.962058Z digest=sha256:e0fd555d955551f6789d03a4c7894bcab100f77aa5e0ee78654cdc74b5909a39

Observation 5bd723c9-72e6-4e9d-8d01-e9847e33520f · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:58:46.736569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:5db41917ba394e123c984b74686cc4ca0f6556ca5b93a7d9129a6b6b123633e0

Observation fe9f8c1b-a8ac-4368-890d-44b1e63881e6 · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T16:24:18.329081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:24:18.329081Z digest=sha256:b4847299ea700e214f09e1d0f09a327fc04570bb8a27087761bc1cf422809693