Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Laws for Forgetting When Fine-Tuning Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2401.05605.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:01:36.126796Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:58:03.105441Z
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 46cd8a44-6f4f-4b39-bed4-e6aae40e8a25 · inbound
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection cites this paper.
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:01:36.126796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd5d357f-9900-4126-ac01-11ef0174c9b4 · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 159
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:34.775771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0051e9ee-9054-4ced-801e-be4c11cad423 · inbound
Routing-Based Continual Learning for Multimodal Large Language Models cites this paper.
Routing-Based Continual Learning for Multimodal Large Language Models Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:55:35.315453Z
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.
Observation 76ff92a5-86e0-47dd-bb79-dbbd608da349 · inbound
PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning cites this paper.
PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:54:46.402500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d437b9d1-834d-4676-b430-d82212065dbf · inbound
Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines cites this paper.
Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:06:07.049963Z
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.
Observation f789671f-77a5-476e-b3a8-5a82cdd42e54 · inbound
Can Muon Fine-tune Adam-Pretrained Models? cites this paper.
Can Muon Fine-tune Adam-Pretrained Models? Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 84
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:51:28.706971Z
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.
Observation 4b14271e-7364-499f-a8f3-35d97ffdfac2 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:18.504428Z
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.
Observation f8165aca-0c39-4ed8-af0c-11bd68585f94 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:19:45.635796Z
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.
Observation 7d2fedfe-b223-4017-89a7-81a08ce39143 · inbound
Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates cites this paper.
Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:18:07.083238Z
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.
Observation 90dbe389-a945-4d05-a168-ac3f0f5a95c1 · inbound
The Future of Facts: Tracing the Factual Generation-Verification Gap cites this paper.
The Future of Facts: Tracing the Factual Generation-Verification Gap Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:33:50.403451Z
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.
Observation 20ba4a5a-61b1-4d8b-95c9-0fdfb499f4d8 · inbound
ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation cites this paper.
ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:58:03.106935Z
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.
Observation 74f0b9a1-2e19-43b5-8c2e-bdbb907f7718 · inbound
One Student, Many Teachers: Multi-Task On-Policy Distillation via Soft-Prompt Privileged Context cites this paper.
One Student, Many Teachers: Multi-Task On-Policy Distillation via Soft-Prompt Privileged Context Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:22:00.518886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f228ec5f-8425-4b45-b5fe-c3a55b9b09ca · inbound
The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning cites this paper.
The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T15:13:36.968236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a4cc0e8-e02f-45d7-8bee-36ab3aa6fa80 · inbound
MemSFT: Mitigating Alignment Tax with an External Parametric Memory cites this paper.
MemSFT: Mitigating Alignment Tax with an External Parametric Memory Scaling Laws for Forgetting When Fine-Tuning Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T01:59:49.806815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.