Paper Citation Record · LEDGER

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2505.12579.

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

pith.paper-citation-record.v1
2505.12579 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:34.214216Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:16.699502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:33:17.721401Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy9
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c54287d4-22ae-47fc-80e4-ae8fb27c7daf · outbound

This paper cites LoRA learns less and forgets less.Transactions on Machine Learning Research, 2024.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection LoRA learns less and forgets less.Transactions on Machine Learning Research, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.525219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 713e2af5-ccf4-4eed-8ef0-fb7baaa33621 · outbound

This paper cites Gradient descent with generalized newton’s method.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Gradient descent with generalized newton’s method

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.513327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce01dedd-f898-4c9e-8720-5699dc1f97d8 · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine Intelligence, 5(3):220–235, 2023.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Parameter-efficient fine-tuning of large-scale pre-trained language models.Nature Machine Intelligence, 5(3):220–235, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.118166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48f15d5-a9be-4cb9-88f4-bc73a97020c2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.122182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2bb6a7b-a7de-46a1-8683-73075b55fdb9 · outbound

This paper cites Qlabgrad: A hyperparameter-free and convergence- guaranteed scheme for deep learning.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Qlabgrad: A hyperparameter-free and convergence- guaranteed scheme for deep learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.485782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a161f71f-8a80-4dfb-b1d4-f6909c40a2fd · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.130806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d832a5-1b16-4346-ae10-2993af35d739 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Parameter-efficient transfer learning for nlp

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.135540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a026ee47-17c8-48c1-bad6-6f72b655d85a · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection LoRA: Low-rank adaptation of large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.139469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1fe831e-6a30-4668-a656-fb49a6678ee9 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.143120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef512fdd-50d4-4546-80e3-0ba0cf51c064 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.147162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed208a0-5dc5-4684-88c7-68ebf84151c0 · outbound

This paper cites Loftq: Lora-fine-tuning-aware quantization for large language models.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Loftq: Lora-fine-tuning-aware quantization for large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.459271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4195f6fa-a13b-463c-ab3e-8f0f7f23e8c3 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.155738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407ea49a-db54-48be-96f0-d23cacf6eeeb · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.160701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f7c353-e5d3-41a1-b9fd-fd33d8e659e5 · outbound

This paper cites John Wiley & Sons, Inc., 1990.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection John Wiley & Sons, Inc., 1990

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.447156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c7a03cf-2649-47ee-ba7c-d1c89ec8c348 · outbound

This paper cites PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.168422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fe6340b-7969-4a46-b077-b33a985963c7 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.435608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8fcf76bf-808a-4eef-aa3f-b37543a40485 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.176778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ff8b46-8e29-4844-a450-d8f28d5cd555 · outbound

This paper cites Glue: A multi-task benchmark and analysis platform for natural language understanding.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Glue: A multi-task benchmark and analysis platform for natural language understanding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.415412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9af0e975-aa81-4ab8-a6fc-ec2db237a5c5 · outbound

This paper cites Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.184530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4b83fbf-ac69-48b6-9a50-d12312979520 · outbound

This paper cites LoRA-GA: Low-Rank Adaptation with Gradient Approximation.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.188514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87e9c0a-b9de-4664-8b6f-46ce4d0da853 · outbound

This paper cites LoRA-Pro: Are Low-Rank Adapters Properly Optimized?.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.192860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b43b26c-287c-4797-b48c-4fb606546192 · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.197975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4b0f433-b863-4f32-8c68-58cb5947cf13 · outbound

This paper cites LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.201947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c6fd8d-04a5-4688-b7ea-57896c2f2de3 · outbound

This paper cites Tuning layernorm in attention: Towards efficient multi-modal llm finetuning.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Tuning layernorm in attention: Towards efficient multi-modal llm finetuning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.395076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d30ad096-ba92-4151-92b7-f53511436fac · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:34.210188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72f9e60e-3fd2-41f7-9356-169a4dca29bb · outbound

This paper cites Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation.Neural Networks, 141:11–29, 2021.

Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation.Neural Networks, 141:11–29, 2021

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:36:34.382342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 84caad95-cdb8-415f-8e38-f0b3af41e05c · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:33:17.784963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.