Paper Citation Record · LEDGER

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17146.

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

pith.paper-citation-record.v1
2410.17146 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:48.739537Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:11:00.746855Z

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 cb370451-16a5-4c31-998f-2c8b79e4d032 · inbound

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent cites this paper.

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:48.739537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dba31c3-a6de-4516-ac55-b5667a848622 · inbound

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging cites this paper.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:13.606591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6944cb1-85df-4405-82ff-c4ca880da7eb · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:39.879972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a0dcb5-2fa4-40fc-b0cc-184e6f0ecc94 · inbound

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data cites this paper.

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:00.751897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.