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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:12.563994Z

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 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:f66525b7ef7b083a2adf487d9d967e0d314e1f97061607bbfed412ebd3de75e5

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:cbc020c7a9a149483f140f7de4cbfd4872bde412542e0097c9cea369bea359a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T10:57:01.529364Z digest=sha256:09e3045983c78d3dfba0b9f3d67a157c8fd590347d1a149d61c773d939b8ffc0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:24:30.679219Z digest=sha256:2d4d19478ae8851ada86418ac743c70370b2fe99b8327a2e7a79b83861f518cc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T09:12:22.712240Z digest=sha256:15d1d809acc4bdc7c7b383a2ecc0b3081b14fa1ea7b8869e6361b6f7b557ab56

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T14:00:31.962058Z digest=sha256:6df6c4bf5bc63c1d1ec50ce0990ea32aa347eb7ca978fc80c45243102d0ee05b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:a5f54acd8e36aba6ba38552da312b98c612fd2885f19966c8f6d247240f1921f

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=sha256:31787c4994673fa5068ebbcae05c54e2045f72443c22443c7e3c19ff5f87bdea