Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.07097.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:26:24.611370Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:36:56.945120Z
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 de13e88d-162a-4a1e-a37a-cd011c925352 · inbound
Pioneer Agent: Continual Improvement of Small Language Models in Production cites this paper.
Pioneer Agent: Continual Improvement of Small Language Models in Production Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:05:57.209920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 449225b1-f57f-4f72-8f10-0c9e3d72f5f4 · inbound
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair cites this paper.
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.464938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81c4ad6d-3e3a-4043-b62d-9a08e0e84c95 · inbound
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair cites this paper.
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:45:03.448398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4527207-05ea-4dd8-9507-941d1a833de2 · inbound
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less cites this paper.
Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:26:08.634575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ea7af9ab-6d5b-4642-ad09-a39f2b6c88d6 · inbound
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:16:16.373812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70a08281-3a03-43bd-a63a-d174cbfe3508 · inbound
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T15:12:37.484794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91722a24-52a3-471a-8695-bbdad7b4ef3a · inbound
Rotation-Preserving Supervised Fine-Tuning cites this paper.
Rotation-Preserving Supervised Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:27:24.419090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e2e6226-12ce-4173-b19d-8fc8aa715c1e · inbound
TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning cites this paper.
TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:36:56.946676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8f910338-c48d-48e9-b6c5-fcaaeac7bb67 · inbound
Omega-S: A Functional Resilience Index for LLM Fine-Tuning cites this paper.
Omega-S: A Functional Resilience Index for LLM Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:26:24.611370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.