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Paper Citation Record · LEDGER

LoRA Learns Less and Forgets Less

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2405.09673.

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

pith.paper-citation-record.v1
2405.09673 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:58.468305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.259186Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b757c5f-ed2f-46f4-b935-a6d1f812e0d1 · inbound

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting cites this paper.

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting LoRA Learns Less and Forgets Less

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:58.468305Z digest=sha256:ec717c2fc870c4bb87f14a5f645cdc732319b2a985b4d2c2f83670dc0dd4ffdc

Observation f39f8234-2171-4e98-94b7-cc38e0e439f0 · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation LoRA Learns Less and Forgets Less

Reference 5

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no resolver link, observed 2026-08-07T13:00:54.044434Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:54.044434Z digest=sha256:4f746f9e1035434826365a10b68dc52e1a6ba94840859c1c1d593087d5a68947

Observation 8853e61d-0af8-48ca-88e0-68ab432e5ca3 · inbound

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution cites this paper.

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution LoRA Learns Less and Forgets Less

Reference 2024

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source=pdf_text observed=2026-08-07T12:41:42.678829Z digest=sha256:b7972f98d3e8b6914133b362f118606576c432884952d1db5afa0f060697319b

Observation ec704b60-cc43-4062-8e63-9904645018cd · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving LoRA Learns Less and Forgets Less

Reference 98

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source=pdf_text observed=2026-08-07T04:46:48.781646Z digest=sha256:972a914767da9ad1f2ff031fc408259149eaf155d27145fdce6b9efd7ab0e2e0

Observation 81debbcb-920e-402d-9cd5-a06f9378196f · inbound

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks LoRA Learns Less and Forgets Less

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:16.824450Z digest=sha256:60be8f039ec0e1db282eb33703d1721c7a32a91f78158658039a9463ae016e75

Observation b6d09532-d057-4891-8f53-0655b59e8902 · inbound

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning cites this paper.

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning LoRA Learns Less and Forgets Less

Reference 3

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source=pdf_text observed=2026-08-07T00:58:07.753430Z digest=sha256:8dfb7f5b6136fbdad78c93f68c3a9964ec18c1340ff125144fd0098bb7b15ee9

Observation 14426df0-6280-47e0-a207-c0cedd8e3f42 · inbound

Improving LoRA with Variational Learning cites this paper.

Improving LoRA with Variational Learning LoRA Learns Less and Forgets Less

Reference 3

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source=pdf_text observed=2026-08-07T00:25:29.109933Z digest=sha256:b75ceec839a05bff8fc338699b2411568bc1372c3f98ec5c5a289a09dd0cbd10

Observation 1e65f524-9e20-4268-8ab5-13b10ef954ea · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts LoRA Learns Less and Forgets Less

Reference 7

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arxiv_id, observed 2026-05-22T13:06:34.490696Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:6567622c9f1835444c5464c6daded04b886feea86c4ccaa6b9d4828076882719

Observation 20c43223-189f-4a17-ad9b-5a326f670867 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing LoRA Learns Less and Forgets Less

Reference 50

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arxiv_id, observed 2026-05-19T09:07:14.613606Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:05:25.236355Z digest=sha256:892e1e3cddb88acd11a270f059c5076bbd9cc4475974defb4b31e659979b8f60

Observation 4d43623f-5c82-4dd4-a34d-e46eaa4c9d66 · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices LoRA Learns Less and Forgets Less

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:54.519614Z digest=sha256:2fbe4f970352f2d45d21ebf7da81860852c74ec690df71cff97b8c30a778f925

Observation c44ca49e-ab63-4bf9-b64d-41bde8dfdbf5 · inbound

Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation cites this paper.

Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation LoRA Learns Less and Forgets Less

Reference 1

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source=pdf_text observed=2026-08-06T15:24:25.120353Z digest=sha256:09192af89a784e50be774fe3745213fc2f5a39e772c79b5f606eaa7a34f5be40

Observation de5c4c14-32a8-4ed0-9ff1-eb2a6b496bf0 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting LoRA Learns Less and Forgets Less

Reference 99

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arxiv_id, observed 2026-05-21T23:44:26.924212Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T23:41:54.385864Z digest=sha256:b27ac40621da1624d7386310e1f34544081faddfa17e0a772dcdc0973a3f8ceb

Observation b0b01936-b29f-4e1c-a222-3a50791802e9 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting LoRA Learns Less and Forgets Less

Reference 99

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source=pdf_text observed=2026-08-06T00:51:57.865153Z digest=sha256:338f07912293ce69265e776026c462495868b1902e3606a9d6e3ca33bdb32fd4

Observation 20f7bc87-c7a9-4749-ab6c-1aeba422fb72 · inbound

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay cites this paper.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay LoRA Learns Less and Forgets Less

Reference 41

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source=pdf_text observed=2026-08-05T23:54:27.028906Z digest=sha256:969c24640f355e96fdaf5ac505e83a59ad20c7e8488efd7c1894f5c569bdd060

Observation db826248-cd26-4939-aa4e-1e27d1e11c92 · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure LoRA Learns Less and Forgets Less

Reference 4

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arxiv_id, observed 2026-05-18T14:52:41.329091Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T14:51:30.312509Z digest=sha256:aa35e7375f6e7f2fb9dda87820a683b17b8e7b322e826b2e61a9a96c12b68270

Observation 01fbab61-b68c-488f-b23e-0248db9cfd1d · inbound

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation cites this paper.

InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation LoRA Learns Less and Forgets Less

Reference 1

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arxiv_id, observed 2026-05-16T19:11:11.502238Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T19:10:47.425041Z digest=sha256:36b2061bfaf1f1e04eb3aaa1f3c19232523e1709eb604177b61805c320bbcee4

Observation cb46b6ba-5ba2-4736-a388-6ce7d144ba22 · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting LoRA Learns Less and Forgets Less

Reference 8

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arxiv_id, observed 2026-05-16T05:37:24.414444Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T05:33:42.965249Z digest=sha256:5a10bb00a1a638c4b80c50e843bdf911ff35e445f30fad7454fbfd38b71e62b2

Observation 3197ec90-b3f5-4e98-a529-37e2f4d76105 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search LoRA Learns Less and Forgets Less

Reference 2012

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:41.335752Z digest=sha256:b5efb9a7dd5c44df3506809dd7f69179648f82ae313c9f663327b0efb28a9cf8

Observation 8c45b8cf-d40e-487e-be91-7afb63a9f21d · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRA Learns Less and Forgets Less

Reference 3

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source=pdf_text observed=2026-07-13T14:28:05.261852Z digest=sha256:5ce54f7956d8f3fa8b5039b686f62f7f457b02f28a8fd0189fe1c87f92d1b77a

Observation 7a95a448-434e-4b1e-8892-7db053c98616 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics LoRA Learns Less and Forgets Less

Reference 3

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source=pdf_text observed=2026-07-15T11:44:19.622453Z digest=sha256:143292abaf6218bbb8f2242d9da4268725d0f56eb24a225d00e06dad045a77de

Observation be5aafc9-b8d7-4015-a724-00a650b1d822 · inbound

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task cites this paper.

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task LoRA Learns Less and Forgets Less

Reference 2

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arxiv_id, observed 2026-05-11T10:16:07.435143Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:22324f530f7ab43f4e29ad025bc8e70e3041a4ee4cce6647c5ff49e30663a6d9

Observation 36c58128-dabc-4b40-8273-e70fefd77c63 · inbound

TLoRA: Task-aware Low Rank Adaptation of Large Language Models cites this paper.

TLoRA: Task-aware Low Rank Adaptation of Large Language Models LoRA Learns Less and Forgets Less

Reference 11

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arxiv_id, observed 2026-05-10T09:48:48.213921Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:07:10.885133Z digest=sha256:e3ea3b4685a1cefea8ab76f3ebce6eaf7670904ad8fc80b6752aa21caa339b67

Observation 2fdd6eca-e619-4123-b2a9-e84a35e95e4b · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling LoRA Learns Less and Forgets Less

Reference 6

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arxiv_id, observed 2026-05-11T13:41:05.734202Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T01:14:16.831333Z digest=sha256:015f0c8d75f339a4896ca24b6d4a73bb0b3ded1484bbcb1f245c594ef7a27521

Observation ad4e9f03-6c4e-478a-826b-f9b537b6122c · 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 LoRA Learns Less and Forgets Less

Reference 4

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arxiv_id, observed 2026-05-11T19:26:08.668232Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:00:49.127471Z digest=sha256:3ec2b643e630471308aa1f302f5b57b596c2c8a6ff96b4074ef52c972e23943c

Observation da2cd688-3801-437d-9cdb-b5e1de57ea5b · inbound

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation cites this paper.

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation LoRA Learns Less and Forgets Less

Reference 15

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arxiv_id, observed 2026-05-11T04:40:58.748117Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:10:16.768269Z digest=sha256:2a4cf66df46e3e968d69c0155ea4495599009ef2b7dea69468c815573a762d59

Observation fc2c15e8-c169-4e05-b7a4-b68da4c4f0e2 · inbound

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation cites this paper.

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation LoRA Learns Less and Forgets Less

Reference 15

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arxiv_id, observed 2026-05-20T23:53:51.950419Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T23:49:29.023187Z digest=sha256:13f396bebcdaa45de0aa399b4b197a031c93d982174dbe74322b4070326cd72d

Observation 7ef59fb9-071f-4c67-8cc9-088c31a35499 · inbound

LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language cites this paper.

LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language LoRA Learns Less and Forgets Less

Reference 3

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arxiv_id, observed 2026-05-12T02:06:14.854466Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T02:05:34.336556Z digest=sha256:d8111bcc292d02a717f90694b2d66e58b8971b7c0c25f64c4e717aa4e72be318

Observation 93b51309-e1d9-4f0d-9828-7762c01b1dbf · inbound

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation cites this paper.

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation LoRA Learns Less and Forgets Less

Reference 9

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arxiv_id, observed 2026-05-13T04:57:17.544947Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T04:53:52.898843Z digest=sha256:35e98c5442aa3deee9a19bd0cc462c68949fefc6e71ca5fde8a6a4c7bfdfa846

Observation b59f54f0-4355-493b-b234-53e0cc29cae8 · inbound

Early Data Exposure Improves Robustness to Subsequent Fine-Tuning cites this paper.

Early Data Exposure Improves Robustness to Subsequent Fine-Tuning LoRA Learns Less and Forgets Less

Reference 4

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arxiv_id, observed 2026-05-14T20:47:58.585687Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:45:27.673290Z digest=sha256:bc9adbd57a615b60584184c1af0c6f6a773626d52b0bbab2212cdebb5f97fbaf

Observation 7835c0b1-f3e1-46ed-8895-e63d5034b504 · inbound

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates cites this paper.

Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates LoRA Learns Less and Forgets Less

Reference 3

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arxiv_id, observed 2026-05-20T07:18:06.993559Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T07:14:59.396900Z digest=sha256:9261021f664e9c16a1fca7a588b13f249b9c0c674598315eb3953f4d1232576e

Observation 0b607cfc-6ab4-4604-a1e4-1d3c2216c50d · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting LoRA Learns Less and Forgets Less

Reference 7

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verified exact
arxiv_id, observed 2026-06-29T07:43:14.111340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:a95f2e5e6e410022edc61f20f71bd985a072fa7273060bfb3f35c8b5463a0450

Observation 7efc7797-6212-45b5-a20c-755e77444180 · inbound

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters cites this paper.

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters LoRA Learns Less and Forgets Less

Reference 2

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verified exact
arxiv_id, observed 2026-07-01T22:16:16.708715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:32:19.456119Z digest=sha256:d5e9e7c97156096f73ff14e60d67cb822338e7a98d4d836ca9c7f0cbcf9a404a

Observation fc4ce5c8-0c82-4a96-b416-4b5120df26db · inbound

CLaaS: Continual learning as a service for sample efficient online learning cites this paper.

CLaaS: Continual learning as a service for sample efficient online learning LoRA Learns Less and Forgets Less

Reference 2

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verified exact
arxiv_id, observed 2026-07-02T11:46:56.254889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T02:49:45.273824Z digest=sha256:de85d6096880731028d27d5512b29d34dcfd1d117434b0751802dfa656d38d36

Observation 7c13fb18-ae91-44ae-9e0b-aff4f1a1e6c4 · inbound

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention LoRA Learns Less and Forgets Less

Reference 11

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arxiv_id, observed 2026-07-04T19:30:07.260600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:cb683c0aff52bca603dd985884c1410b0e128d235c1f27e9f3a3e99afbde95bf

Observation cb291aa2-d2a7-42aa-b6e8-a7138491347c · inbound

Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 cites this paper.

Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 LoRA Learns Less and Forgets Less

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T18:20:40.287006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:20:40.287006Z digest=sha256:0300ed7602c60000dc036515437b10711639af3e16f4ed9c47351e6745eb59a0

Observation 3f3a08d2-b253-441f-ba5d-719e68bbfe60 · inbound

Scaling Point-in-Time Language Models cites this paper.

Scaling Point-in-Time Language Models LoRA Learns Less and Forgets Less

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T15:39:35.740336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:39:35.740336Z digest=sha256:ac828939b4e0f33ed58b17d0aa3d8932facb7343151343d9aa7e76fc942ada78

Observation 647d14f5-f301-46b9-8dfb-988e024739e0 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling LoRA Learns Less and Forgets Less

Reference 226

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.796812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.796812Z digest=sha256:d7fbd8c3d45a68bcd0d1b4d4bf428eb9df38a11c72e92e1434eaeb4237c30ca4

Observation 50706905-1a48-42f7-ae20-95ed938f40e7 · inbound

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation cites this paper.

After the Euclidean Highway: Hyperbolic Expert AI as the Next Innovation LoRA Learns Less and Forgets Less

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T17:51:35.656758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:51:35.656758Z digest=sha256:e0cb4ca0ec8741713dd05d3b4c5dbe86fb056fc869a2c52ec03f41469565d663

Observation 133b63de-da01-4647-8be8-557e898c60b3 · inbound

PoLoRA: A Preconditioned Orthogonalized LoRA Optimizer cites this paper.

PoLoRA: A Preconditioned Orthogonalized LoRA Optimizer LoRA Learns Less and Forgets Less

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T17:32:31.846788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:32:31.846788Z digest=sha256:43de51a9772c35608c8c7f50c78e0817b42a7d110dbbdfa00655d89961ebe22f

Observation fdec435e-912a-441e-a1e1-44583e708703 · 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 LoRA Learns Less and Forgets Less

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T09:22:00.516068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:22:00.516068Z digest=sha256:aca4ceeb675e4b400d6b3d2a594b0e2b7b84b2bbc5093ff81461fb3229576fc4

Observation 51594cad-bd49-468d-86d1-976d8db05fd8 · inbound

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation cites this paper.

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation LoRA Learns Less and Forgets Less

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T06:18:16.224560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:18:16.224560Z digest=sha256:66e6a883d77de2bbbbc7890b01f8177e0302afc7f5445259177f11888154fba4

Observation 8e4cae20-cd6b-4b34-92ad-aa2b500648b6 · inbound

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection cites this paper.

How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection LoRA Learns Less and Forgets Less

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T06:08:25.705441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:08:25.705441Z digest=sha256:03a8955593c6d2e9f13413f40ca5067fb2d525dac12013cf37db4351780973cb

Observation ef603cd2-3f3e-472d-9311-0db57add52cf · inbound

MemSFT: Mitigating Alignment Tax with an External Parametric Memory cites this paper.

MemSFT: Mitigating Alignment Tax with an External Parametric Memory LoRA Learns Less and Forgets Less

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T01:59:49.777615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:59:49.777615Z digest=sha256:d901fed13d34c067fa0f7e77ea2a0694813d80160aa870718800ee70769cdea6