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Paper Citation Record · LEDGER

Evolutionary Optimization of Model Merging Recipes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.13187.

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

pith.paper-citation-record.v1
2403.13187 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:12.964989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:03:29.436660Z

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 3f7e8a81-eee5-42dc-b672-dbc6ed454980 · inbound

Training-free LLM Merging for Multi-task Learning cites this paper.

Training-free LLM Merging for Multi-task Learning Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:40.413805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:59:40.413805Z digest=sha256:08fc592840e9984508c5b7cdc204ea6f028e6206c2f910807c00b4c0586117a7

Observation 46b3c6ab-3a85-48a5-9153-383a7a9fac6f · inbound

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching cites this paper.

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching Evolutionary Optimization of Model Merging Recipes

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:53:07.973981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:53:07.973981Z digest=sha256:d9a3679bacba50bf741f45ffe53cda1260d880de9fdff5a06f650076e19f86bf

Observation f5aa8816-5b9f-42a5-83d0-bfab24b90a15 · inbound

Contrasting Cognitive Styles in Vision-Language Models: Holistic Attention in Japanese Versus Analytical Focus in English cites this paper.

Contrasting Cognitive Styles in Vision-Language Models: Holistic Attention in Japanese Versus Analytical Focus in English Evolutionary Optimization of Model Merging Recipes

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:07.514241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:15:07.514241Z digest=sha256:70f1982376dfe7ca354e8615bd234411a956d6681a05ac1ebb2fb5a3a760fc4b

Observation a990592b-822f-452a-a2ef-97ebe0364fc1 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Evolutionary Optimization of Model Merging Recipes

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:16.032761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:16.032761Z digest=sha256:804227ae016827398f9a669974c56d805dd1cf8f8461d1a27d5576ebc274b09b

Observation a42f5d32-6a7d-4e88-949d-d0a5587b942e · inbound

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts Evolutionary Optimization of Model Merging Recipes

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:07:32.863487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:07:32.863487Z digest=sha256:9392cc82e3d62a539366546c097790a54427927a786d5d3ccde00ade6352762a

Observation 51d6f51a-db0b-4949-92bd-268b13d93ac3 · inbound

Competition and Attraction Improve Model Fusion cites this paper.

Competition and Attraction Improve Model Fusion Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T17:32:11.770242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:32:11.770242Z digest=sha256:49342b19d4a23c2bc3d6f1f31a5e9baa8f3b4e4f73fb5122329a80c0ad05cd50

Observation ad756850-0562-4568-9b9e-39a55d196488 · inbound

PSO-Merging: Merging Models Based on Particle Swarm Optimization cites this paper.

PSO-Merging: Merging Models Based on Particle Swarm Optimization Evolutionary Optimization of Model Merging Recipes

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T15:30:25.108083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:30:25.108083Z digest=sha256:3a8e9eb2d152658f87f3237e4ba1598cf1f494133faa326208180d425f511040

Observation bae88fb1-d1e1-4f79-b084-27d3829828c2 · inbound

Can Heterogeneous Language Models Be Fused? cites this paper.

Can Heterogeneous Language Models Be Fused? Evolutionary Optimization of Model Merging Recipes

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:00:02.091219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T10:57:01.529364Z digest=sha256:216b271d677cbafcfc8e36951190944337c008bcd8ab278535cfe8d2f3f95816

Observation de975470-a71a-45da-86ce-43f9f9b2ebaa · inbound

OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms cites this paper.

OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:24.288961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:39:46.145409Z digest=sha256:85b703332a111e37d113bb1247e33a65f119f78eeae1aefbd7086f3bdd43cd59

Observation 1b660dfa-a01a-41e1-802b-6e738bf4c30d · inbound

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging cites this paper.

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging Evolutionary Optimization of Model Merging Recipes

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:52:12.543781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T03:51:25.888170Z digest=sha256:fd206f647294106bda84b19c24e1007b855862296ea643444fee917d1945a7fb

Observation 1810a655-c479-4d34-b73c-3d0e5aaa975f · inbound

Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning cites this paper.

Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning Evolutionary Optimization of Model Merging Recipes

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.295728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:12:34.571185Z digest=sha256:7fbe9e646a909c65b07cc2304ad51d35accb60bca106ba1d238cb4c2902ca1b0

Observation 93d89c0e-0668-443b-95c5-72041ac1831a · inbound

Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning cites this paper.

Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:13:59.634628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T06:10:22.683330Z digest=sha256:8db7786bc1fba0b5991e6081c636ef217da3d3bc803da855e9a6ae4f6e7f3e43

Observation a381ed56-52d4-42b4-8855-0735613cca3a · inbound

Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning cites this paper.

Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T13:34:44.514715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:34:44.514715Z digest=sha256:2a4b8ff08238f5dd1e67215d42728c044d3c3ae2235bf09275d2acbc74a0fec5

Observation 1a100bea-df10-4503-9d2e-fbab7f1a656c · 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 Evolutionary Optimization of Model Merging Recipes

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:03:29.438676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T14:00:31.962058Z digest=sha256:3905c8653f96a0ce8974975e968da7331fd46b59d3397b9e59e5aa84ec74b1b0

Observation d862950e-8f04-4d55-8cb9-18d6e9de172f · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Evolutionary Optimization of Model Merging Recipes

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-02T13:37:01.988991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:37:01.988991Z digest=sha256:8326adf4283f57ffbd803ceade067ba80271b78362321a9b261f82c78045b520

Observation 0aaa149e-518c-479a-a066-b4f9f784932c · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition Evolutionary Optimization of Model Merging Recipes

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-07T12:24:12.964989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:12.964989Z digest=sha256:95676e50c7850f85e0c93e1cf43dfffd35003df9a220f80c9f0ad157dd3ddb6d