Paper Citation Record · LEDGER

Weight Spectra Induced Efficient Model Adaptation

As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2505.23099.

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

pith.paper-citation-record.v1
2505.23099 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:00.056496Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:52:20.157155Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy11
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 305bed03-0915-4917-ad85-997ed049fba9 · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Weight Spectra Induced Efficient Model Adaptation Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

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Observation 1c212684-22b3-4830-8915-00ea7acd6916 · outbound

This paper cites Llama 3 model card.

Weight Spectra Induced Efficient Model Adaptation Llama 3 model card

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:53.683562Z

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Observation 14bf6caa-2584-4be7-9591-807664186d1b · outbound

This paper cites The second pascal recognising textual entailment challenge.

Weight Spectra Induced Efficient Model Adaptation The second pascal recognising textual entailment challenge

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:53.800664Z

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Observation 97251eaf-5dcd-4f80-98bb-9e49c28facf5 · outbound

This paper cites The fifth pascal recognizing textual entailment challenge.

Weight Spectra Induced Efficient Model Adaptation The fifth pascal recognizing textual entailment challenge

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.569016Z

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

This paper cites LoRA Learns Less and Forgets Less.

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

Reference 5

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Observation 49ac1c07-641b-4bda-8ac2-e67931dd022f · outbound

This paper cites Piqa: Reasoning about phys- ical commonsense in natural language.

Weight Spectra Induced Efficient Model Adaptation Piqa: Reasoning about phys- ical commonsense in natural language

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:54.210767Z

Source-reported events for the cited work

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Observation 3b992f5c-7781-4afe-a516-78021128cc0c · outbound

This paper cites Language models are few-shot learners.

Weight Spectra Induced Efficient Model Adaptation Language models are few-shot learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:54.336505Z

Source-reported events for the cited work

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Observation 2d573e66-ea58-4869-b13e-fc106895c5f4 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

Weight Spectra Induced Efficient Model Adaptation SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:54.463627Z

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Observation 51b28710-09a9-41b2-9113-8cd6bd36caac · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Weight Spectra Induced Efficient Model Adaptation Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.313744Z

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 8682ea6c-1d9f-4fe5-81e1-e5185292439a · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Weight Spectra Induced Efficient Model Adaptation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 10

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Source-reported events for the cited work

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Observation 44166c2b-6f67-4c34-8853-e3c0c6ebeb2d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Weight Spectra Induced Efficient Model Adaptation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:54.907311Z

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Observation b4154f12-7be8-428b-9fe1-c5ec1014dc7e · outbound

This paper cites Gradient descent on neural networks typically occurs at the edge of stability.

Weight Spectra Induced Efficient Model Adaptation Gradient descent on neural networks typically occurs at the edge of stability

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.075745Z

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 13c7254d-78a9-458a-821b-002975158c51 · outbound

This paper cites The pascal recognising textual entailment challenge.

Weight Spectra Induced Efficient Model Adaptation The pascal recognising textual entailment challenge

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.794080Z

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 dff1377e-adbf-481d-9f3b-e424559fc59c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Weight Spectra Induced Efficient Model Adaptation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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Observation 08869c72-b951-4fe6-93cd-17426da3dbf1 · outbound

This paper cites Automatically constructing a corpus of sentential paraphrases.

Weight Spectra Induced Efficient Model Adaptation Automatically constructing a corpus of sentential paraphrases

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:55.467739Z

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Observation 8b0c9a4e-20a9-4293-a26d-b6220252190c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Weight Spectra Induced Efficient Model Adaptation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:55.594322Z

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Observation 77c8a729-a966-499e-8977-e3f020a27489 · outbound

This paper cites TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation.

Weight Spectra Induced Efficient Model Adaptation TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:55.772359Z

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Observation 9e883207-6a0e-4adb-b4c4-38bbfc7faef3 · outbound

This paper cites The third pascal recognizing textual entailment challenge.

Weight Spectra Induced Efficient Model Adaptation The third pascal recognizing textual entailment challenge

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.537439Z

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 1f589c69-b7f8-4efc-9ca3-48c8b3ef05af · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

Weight Spectra Induced Efficient Model Adaptation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 19

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Observation ea6902a4-0ee4-4a76-936f-3b3b1ade5acc · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Weight Spectra Induced Efficient Model Adaptation Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.134909Z

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Observation c06152b8-0e2c-468e-8fa6-b46fa1062c29 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Weight Spectra Induced Efficient Model Adaptation DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.257843Z

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Observation 13af81a5-a00d-4b22-8cd5-d1261095af1e · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Weight Spectra Induced Efficient Model Adaptation Parameter-efficient transfer learning for nlp

Reference 22

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Source-reported events for the cited work

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Observation 33f8cce6-5f04-4bec-b61d-930a00389a96 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Weight Spectra Induced Efficient Model Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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Observation f727cbfb-0c03-4bfd-bc3b-c7b2ede625ac · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Weight Spectra Induced Efficient Model Adaptation LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 24

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Observation 50900587-1ee4-47dc-a484-b56d54e14290 · outbound

This paper cites Visual prompt tuning.

Weight Spectra Induced Efficient Model Adaptation Visual prompt tuning

Reference 25

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Observation 5e18d49c-8957-4489-afbf-810c37012e44 · outbound

This paper cites Convolutional Bypasses Are Better Vision Transformer Adapters.

Weight Spectra Induced Efficient Model Adaptation Convolutional Bypasses Are Better Vision Transformer Adapters

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.874725Z

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Observation 4c2cb470-c5aa-47b3-80e9-380a165ba596 · outbound

This paper cites Fact: Factor-tuning for lightweight adaptation on vision transformer.

Weight Spectra Induced Efficient Model Adaptation Fact: Factor-tuning for lightweight adaptation on vision transformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.308068Z

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Observation 65548744-7447-4eed-b34b-b436cfe0970c · outbound

This paper cites Segment anything.

Weight Spectra Induced Efficient Model Adaptation Segment anything

Reference 28

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Source-reported events for the cited work

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Observation b48d1eca-31d5-4fed-9376-334bd4e798a3 · outbound

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

Weight Spectra Induced Efficient Model Adaptation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 29

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Source-reported events for the cited work

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Observation 554cb068-2008-40b6-9bf8-e5927957de49 · outbound

This paper cites Scaling & shifting your features: A new baseline for efficient model tuning.

Weight Spectra Induced Efficient Model Adaptation Scaling & shifting your features: A new baseline for efficient model tuning

Reference 30

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Source-reported events for the cited work

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Observation ded2e29d-6b8c-4089-8b0f-0c27104b15f2 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning.

Weight Spectra Induced Efficient Model Adaptation Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning

Reference 31

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Observation 173f8707-33d4-4743-be41-a2587cd465f4 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Weight Spectra Induced Efficient Model Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 32

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Observation d5293637-1f34-48df-a09d-d345fb94cbab · outbound

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

Weight Spectra Induced Efficient Model Adaptation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 33

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Weight Spectra Induced Efficient Model Adaptation Segment anything in medical images

Reference 34

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Source-reported events for the cited work

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Observation c73a5483-c489-47b6-b5ae-2048df21cd4d · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Weight Spectra Induced Efficient Model Adaptation PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 35

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Observation d7c911e7-018f-4e38-8645-0e9e27b73963 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Weight Spectra Induced Efficient Model Adaptation Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 36

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Observation 8f72374a-8b97-4323-8259-b364c27e8f85 · outbound

This paper cites AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Weight Spectra Induced Efficient Model Adaptation AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 37

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Observation 4d590e69-193d-4379-bd83-00733ce61cb9 · outbound

This paper cites Pre-trained models for natural language processing: A survey.

Weight Spectra Induced Efficient Model Adaptation Pre-trained models for natural language processing: A survey

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.041865Z

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Observation e4df5c3f-bdea-421b-8336-08afb11ae8e6 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Weight Spectra Induced Efficient Model Adaptation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 39

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Observation 9a3a8015-bd34-4abb-bf8d-dc39c4942ce0 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Weight Spectra Induced Efficient Model Adaptation SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 40

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Observation 333e83ac-aa12-489c-828e-d65f023f324d · outbound

This paper cites Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization.

Weight Spectra Induced Efficient Model Adaptation Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

Reference 41

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Observation b65f7aaf-e82e-40ed-bff4-04f164bf9455 · outbound

This paper cites Effective rank: A measure of effective dimensionality.European Signal Processing Conference, 2007.

Weight Spectra Induced Efficient Model Adaptation Effective rank: A measure of effective dimensionality.European Signal Processing Conference, 2007

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:01.725226Z

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Observation 3e0a00f8-8927-43bf-9c31-1750bfe6e8e8 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Weight Spectra Induced Efficient Model Adaptation Winogrande: An adversarial winograd schema challenge at scale

Reference 43

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Observation ae3429f5-ebfc-4bb2-9eee-7818de081d2e · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Weight Spectra Induced Efficient Model Adaptation SocialIQA: Commonsense Reasoning about Social Interactions

Reference 44

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Observation 1fa2f61b-16e6-44a2-8812-ac5a585a9477 · outbound

This paper cites DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning.

Weight Spectra Induced Efficient Model Adaptation DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning

Reference 45

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Source-reported events for the cited work

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Observation 953d0cb6-256f-44d3-9681-546e0c862d55 · outbound

This paper cites Unleashing the power of task-specific directions in parameter efficient fine-tuning.

Weight Spectra Induced Efficient Model Adaptation Unleashing the power of task-specific directions in parameter efficient fine-tuning

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:01:00.556606Z

Source-reported events for the cited work

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Observation 25722ac5-966c-43c9-9b7a-0583f00878dc · outbound

This paper cites Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning.

Weight Spectra Induced Efficient Model Adaptation Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Reference 47

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Observation 0f06ad9d-f661-4e6e-8519-a62c7115978c · outbound

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Weight Spectra Induced Efficient Model Adaptation See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition

Reference 48

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Observation 69cd46d7-3432-44ec-8eef-d74433abca6e · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

Weight Spectra Induced Efficient Model Adaptation Recursive deep models for semantic compositionality over a sentiment treebank

Reference 49

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Observation ea6613cd-35b9-4c2d-bd21-b5dce04ff9c8 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Weight Spectra Induced Efficient Model Adaptation GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 50

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Observation e8ff4a90-f7a2-4c19-bf39-ce188bfc7599 · outbound

This paper cites MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Weight Spectra Induced Efficient Model Adaptation MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.481232Z

Source-reported events for the cited work

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Observation 97ab1403-a66e-4425-b07c-8b59f964d622 · outbound

This paper cites Neural network acceptability judgments.

Weight Spectra Induced Efficient Model Adaptation Neural network acceptability judgments

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:01.482899Z

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Observation e9504fb8-fd85-451c-ad0f-cf27775fbc3d · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Weight Spectra Induced Efficient Model Adaptation A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 53

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Observation 364c283f-668c-4285-ad22-548d766e5ad5 · outbound

This paper cites Mixture-of-Subspaces in Low-Rank Adaptation.

Weight Spectra Induced Efficient Model Adaptation Mixture-of-Subspaces in Low-Rank Adaptation

Reference 54

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Observation 4b708432-3bc7-42fc-8d27-3a9c450ba567 · outbound

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

Weight Spectra Induced Efficient Model Adaptation Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 55

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Observation 4cfaf548-e2df-4a07-954f-12825c6a8701 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Weight Spectra Induced Efficient Model Adaptation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 56

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Weight Spectra Induced Efficient Model Adaptation The visual task adaptation benchmark

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:01.278985Z

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Observation 04032715-1dd2-4280-86cf-115043896de3 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

Weight Spectra Induced Efficient Model Adaptation Adaptive budget allocation for parameter-efficient fine-tuning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:01.086567Z

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Observation 89153dbf-0254-4433-a624-19d90d51a5b2 · outbound

This paper cites Neural Prompt Search.

Weight Spectra Induced Efficient Model Adaptation Neural Prompt Search

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:00.056496Z

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Pith citing papers

Observation b097c84c-8f87-4f75-843c-b778367cfc1d · inbound

Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws cites this paper.

Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws Weight Spectra Induced Efficient Model Adaptation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:20.157155Z

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