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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 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:33:09.684726Z

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 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=sha256:9de31098245be49759ff3a7dbf4aa77c1813dbdf5ab41d96ccb7c3373ad8ba57

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:a743c1020349c35990d6ce064b30ef4ff2511f67d449acec070147b5c6a9fcc5

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=sha256:84bfa0f33cb96d3d3db8191c917ca20d0aaf6d2967721a310d722a400c4bc84b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:4b7d02e0d6e0bf614ac8785fe38f242c0f491896a0a59800d98019c9aabb9f7a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:24:00.948230Z digest=sha256:252ff4d6d7fd65cedf0902c01b635f38cd1fb0d3eb9705c81f2f721322932571

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T02:00:34.350152Z digest=sha256:7bb606899ee912c25015b2f4c4e51a7029693fe1dd0b08b2fbe4b1e7fa4f7f90