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Paper Citation Record · LEDGER

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.10174.

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

pith.paper-citation-record.v1
2408.10174 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:49.378675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:51:07.110882Z

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 1a2045b4-8bbc-41ec-ab96-8e3cbe3613fd · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-12T20:40:32.576545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:40:32.576545Z digest=sha256:e0f72c9541e5cd5b280abb1119a53b64d403636c9bfbd198938be9307f12f64f

Observation e02d82be-2c0c-4f63-ab89-68788027b8db · inbound

Task Singular Vectors: Reducing Task Interference in Model Merging cites this paper.

Task Singular Vectors: Reducing Task Interference in Model Merging SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T11:54:05.052915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:54:05.052915Z digest=sha256:92750a7d9eda49e49c2a976bba740e71fea1957ee3f934722e9a6d35b561ba9d

Observation aa10f3bd-171c-435c-b72d-eeb221295b25 · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-10T18:56:37.783007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:56:37.783007Z digest=sha256:ab28c657e1402afc6221024ecd13035fb9f4e30708e093754ba79e13daa28f22

Observation 34517050-974c-4721-bc44-73533387c67e · inbound

RanDeS: Randomized Delta Superposition for Multi-Model Compression cites this paper.

RanDeS: Randomized Delta Superposition for Multi-Model Compression SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:49.378675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:02:49.378675Z digest=sha256:7f0f4790befa0f63a3db47059d4dcd3b23d6a11893ec08ff2f5c6205a3a930f1

Observation 872c1a93-663d-409a-a675-0be78bb63836 · inbound

Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts cites this paper.

Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T18:04:56.482292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:56.482292Z digest=sha256:3cb398d893672324069a0124f0d9e977e842bacfb82fa7bb54f9e443e3a17dea

Observation c2695b5d-3852-468d-b932-40c898ce3939 · inbound

Model Merging: Foundations and Algorithms cites this paper.

Model Merging: Foundations and Algorithms SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:07.115864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T14:47:58.710291Z digest=sha256:7b1d74c738aca2eb45f365427692ed24851b765ff4f1631c3a45d78ab369e069