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Paper Citation Record · LEDGER

A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.07057.

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

pith.paper-citation-record.v1
2408.07057 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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:03:11.243283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.456242Z

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 b19320f9-c464-4512-8e7e-04f1feb1cfe6 · inbound

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging cites this paper.

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:11.243283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:11.243283Z digest=sha256:4ca38c991f25db0708ae2c276d3d2c582973a1c237235904646090263b9c2f3e

Observation 390dfaa6-f6c5-48cd-9526-3082aa81bdbe · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-08T22:33:09.684726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:33:09.684726Z digest=sha256:cdaa2ece7256c1c8b6d845177810316edc89c8f06a4eefe4efa5525b7113b078

Observation 73ecc4e0-bcce-417b-96d1-45bae992760e · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:35.142979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:35.142979Z digest=sha256:f4e57c7cdd9823ec165257eda6756cc6f0d0264e6ba12d489f786ad5261371d0

Observation a49c98b7-3b4b-404a-9598-85c85b8697e7 · inbound

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

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:07:37.247810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:07:37.247810Z digest=sha256:36c5d00da3bd2565600881fe3a18cd3eb58f47921534b28c0868b4b450744267

Observation c1823c46-80c2-4ef2-b03c-67f0bc01e9c9 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 101

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:26:26.692944Z

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=2026-06-28T10:56:13.058872Z digest=sha256:d7d8c6854d52594fd885b080f4b16e253d241b5f592b20bfcd2ba332f1b82895

Observation 82f74810-d864-42a8-8dd4-213dd6d8a740 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 101

Resolution
unresolved
no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:29af490c536cf3c994ff971ed06f1d784194a28dbc52781de29fb65835db78d3

Observation 050d1a02-3443-4737-85dd-7407b4f1b72b · inbound

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging cites this paper.

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:38:05.603581Z

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=2026-06-27T09:24:00.948230Z digest=sha256:a6ee5b999216fb624396d8253b86f8e6c0344f40ad02c8b5f326b6b3c273dddb

Observation 833004f5-0154-47f7-9e41-ff8ab45f9709 · inbound

StereoFactory: A Unified Merging Framework for Robust Stereo Matching cites this paper.

StereoFactory: A Unified Merging Framework for Robust Stereo Matching A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:50.457702Z

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=2026-06-27T02:00:34.350152Z digest=sha256:d7657bbe42b9dda9b804bec56180b80bb9ba0b2e39ad9bc6739b6b70db06acd3