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Paper Citation Record · LEDGER

HOFT: Householder Orthogonal Fine-tuning

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2505.16531.

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

pith.paper-citation-record.v1
2505.16531 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:29.362660Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:08:23.376106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:53:42.663757Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved35
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ea36e3f-c16d-4cd7-a0b9-06488880160c · outbound

This paper cites Phi-4 Technical Report.

HOFT: Householder Orthogonal Fine-tuning Phi-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-07T15:04:22.585871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:22.585871Z digest=sha256:a0f1014d938fffc8dcc766f2bbac4f9f86341cc70337938b524197436ff86c04

Observation 4db9edc9-e610-4be7-90e6-79d0aa116922 · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning.

HOFT: Householder Orthogonal Fine-tuning Intrinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 2

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no resolver link, observed 2026-08-07T15:04:22.650935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:22.650935Z digest=sha256:07852be79f8b3ce32c309c13e65bfc6dd55fd0e9d92ebf77d927d44de59608a5

Observation 95b99dae-859c-4f57-9dca-9fd543df777b · outbound

This paper cites RotRNN: Modelling Long Sequences with Rotations.

HOFT: Householder Orthogonal Fine-tuning RotRNN: Modelling Long Sequences with Rotations

Reference 3

Resolution
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no resolver link, observed 2026-08-07T15:04:22.854416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:22.854416Z digest=sha256:e7289cfcffe71aee03c14e1fc62c79a3f42bde1547f112b3e7d6d4fdf77aa560

Observation ff0800b7-b07d-460a-9b48-f221f1a9e9b3 · outbound

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

HOFT: Householder Orthogonal Fine-tuning Piqa: Reasoning about phys- ical commonsense in natural language

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:22.930051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:22.930051Z digest=sha256:6d9e8576453b604594311a7094f886c9698e90c11545dfc27204fb6cc1b6886e

Observation 01a32f92-52b9-4cd1-a824-2344284c831f · outbound

This paper cites An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures.

HOFT: Householder Orthogonal Fine-tuning An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures

Reference 5

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no resolver link, observed 2026-08-07T15:04:23.015735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.015735Z digest=sha256:ae32983affe9f267f9539dac4d41d466dbe01c5bf7124ed8caf3bbaf17d3642a

Observation 0fe10512-7408-4b11-9d3f-a1376a7a3f18 · outbound

This paper cites Oran Brigham.The Fast Fourier Transform and Its Applications.

HOFT: Householder Orthogonal Fine-tuning Oran Brigham.The Fast Fourier Transform and Its Applications

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:33.524382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:23.094413Z digest=sha256:272b33652c1ddc6f9e006debfbfdc25398c748bedad0080af8c20f1b3079e203

Observation 8030cbee-8813-4895-b314-250b4e34b09d · outbound

This paper cites Emerging properties in self-supervised vision transformers.

HOFT: Householder Orthogonal Fine-tuning Emerging properties in self-supervised vision transformers

Reference 7

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no resolver link, observed 2026-08-07T15:04:23.168036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.168036Z digest=sha256:62475502e5d9cabd8c85ecb729a141a6cf1f0bf336d95e34c0d6c6ea9abca01c

Observation 0d0763d6-50e5-45f5-b352-23ada9fe0a95 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

HOFT: Householder Orthogonal Fine-tuning Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:33.301133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:23.254270Z digest=sha256:067dd2f70be6305c081195756c705b92415381fabe1faad87baa81b7554c4f57

Observation 17fb21a6-ed95-4a28-a349-d000b130e799 · outbound

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

HOFT: Householder Orthogonal Fine-tuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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no resolver link, observed 2026-08-07T15:04:23.365482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.365482Z digest=sha256:ec0169ae136b40ee125a37a3913f9021f0b1a3ab9cfadac10055a2628bd79395

Observation 440c0063-e04b-4843-a11c-89ace4689705 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

HOFT: Householder Orthogonal Fine-tuning Training Verifiers to Solve Math Word Problems

Reference 10

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no resolver link, observed 2026-08-07T15:04:23.465690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.465690Z digest=sha256:a59cf7873df86a44f655ac04924ddf7ea02b6690ec77e551154e7fb3200c1340

Observation eea6b554-e343-4877-915a-645eaf4cebb9 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

HOFT: Householder Orthogonal Fine-tuning No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 11

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no resolver link, observed 2026-08-07T15:04:23.552346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.552346Z digest=sha256:25108d1dc74fc28f3cccf6881d123baa4a7bd4b63760979a6106333a62b71297

Observation 83d28242-4694-4efa-ab64-33e9ee43b041 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.NeurIPS, 2024.

HOFT: Householder Orthogonal Fine-tuning Qlora: Efficient finetuning of quantized llms.NeurIPS, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:33.158161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:23.630773Z digest=sha256:adccc83e230a62c7502f142991229dc273e0b704ca76429d02e4acaa81f858e6

Observation 4d78c14f-ab0e-4fb7-a3df-38be4fc0cdfd · outbound

This paper cites O-ViT: Orthogonal Vision Transformer.

HOFT: Householder Orthogonal Fine-tuning O-ViT: Orthogonal Vision Transformer

Reference 13

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no resolver link, observed 2026-08-07T15:04:23.775394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.775394Z digest=sha256:9079d39778bef8adc884821459488e4907eb77cb80a92c8c9f5c0dd880883c59

Observation 24cdd1ae-c480-46ec-82e8-b95870294e01 · outbound

This paper cites Golub and Charles F.

HOFT: Householder Orthogonal Fine-tuning Golub and Charles F

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:33.012964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:23.899047Z digest=sha256:86acea3d9b391175f7364fa9a1d92920d8f178032e7dc2f1e51f3154fb6530a9

Observation de802b25-fceb-4f95-b7fb-17ccd81eac24 · outbound

This paper cites Gower and Garmt B.

HOFT: Householder Orthogonal Fine-tuning Gower and Garmt B

Reference 15

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no resolver link, observed 2026-08-07T15:04:23.985498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:23.985498Z digest=sha256:7ebccd70470eb1747d7c25ac6cd3101ab178836b33203cd617345cf68a25dd59

Observation 9bd31f63-7168-4f06-b836-8668089b6949 · outbound

This paper cites The Llama 3 Herd of Models.

HOFT: Householder Orthogonal Fine-tuning The Llama 3 Herd of Models

Reference 16

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no resolver link, observed 2026-08-07T15:04:24.085505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:24.085505Z digest=sha256:dd713619dcfe055f45e9701f7984e77f6a43c018ac36cf5684e3d338706079f5

Observation 2ea82fa2-2bc5-4109-83d7-90aa6cb0a636 · outbound

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

HOFT: Householder Orthogonal Fine-tuning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 17

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no resolver link, observed 2026-08-07T15:04:24.150198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:24.150198Z digest=sha256:5f86eab2181b237b03ef30eb90e220eb4c8c8c3e53d677410b2cbc830dfbb67d

Observation ad440b48-b9ec-4c5b-be6c-acb649b720a9 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

HOFT: Householder Orthogonal Fine-tuning Parameter-efficient transfer learning for nlp

Reference 18

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no resolver link, observed 2026-08-07T15:04:24.259635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:24.259635Z digest=sha256:beaee6df87b203ebb92dd09dd7e316c8917538150ebe31eae34789193730500e

Observation 6126f310-f8a5-4131-b21a-f39c787ec1d3 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022.

HOFT: Householder Orthogonal Fine-tuning Lora: Low-rank adaptation of large language models.ICLR, 1 (2):3, 2022

Reference 19

Resolution
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no resolver link, observed 2026-08-07T15:04:24.345696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:24.345696Z digest=sha256:096c6a46ee5501be02e60bddab77a96c55de3cb638308031b66413aab5b613a1

Observation 135740e8-4b58-47f4-ab69-5f8c3ebdcdd8 · outbound

This paper cites Fedpara: Low-rank hadamard product for communication-efficient federated learning.

HOFT: Householder Orthogonal Fine-tuning Fedpara: Low-rank hadamard product for communication-efficient federated learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:32.886125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.476534Z digest=sha256:a96c022fe12ac807bccc9c4ad8c29f1bba622a5c950ac4c5e3a45ab056999138

Observation fcb9c680-57c7-4dd9-b13c-f745596a69fc · outbound

This paper cites Quintana-Ortí, Robert van de Geijn, and Field G.

HOFT: Householder Orthogonal Fine-tuning Quintana-Ortí, Robert van de Geijn, and Field G

Reference 21

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T15:04:29.848793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.573850Z digest=sha256:e6ed69010e263470cf4c0a1451dfb11125ec5f158b8963e1d36ae6c3b3eba719

Observation 70c07c91-0c4b-4392-83be-c81f0ba6ac3c · outbound

This paper cites an unresolved cited work.

HOFT: Householder Orthogonal Fine-tuning Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-07T15:04:32.739369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.654576Z digest=sha256:9b944c4dbb3c629b1ad9431b497cd9a4de0c81120166fa876538603470080ca7

Observation 8289b442-b4c9-434f-a076-2a2a9eaae455 · outbound

This paper cites Kopiczko, Tijmen Blankevoort, and Yuki M.

HOFT: Householder Orthogonal Fine-tuning Kopiczko, Tijmen Blankevoort, and Yuki M

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:32.601998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.749878Z digest=sha256:83234342dacb13952ed2fbe7d43e1d018109d06e33e13d0f1818f63e6d03a712

Observation de078ee8-2459-4abb-9780-be6098fd4842 · outbound

This paper cites Vb-lora: Extreme parameter efficient fine-tuning with vector banks.NeurIPS, 2024.

HOFT: Householder Orthogonal Fine-tuning Vb-lora: Extreme parameter efficient fine-tuning with vector banks.NeurIPS, 2024

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:32.434287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.848085Z digest=sha256:bf9200eb4994ee9c28df2647c4addb5e88a87b6f4e648d415afccc25a90d8383

Observation 54a915ed-f4e5-4769-88a8-b673e0a827dd · outbound

This paper cites Cwy parametrization: a solution for parallelized optimization of orthogonal and stiefel matrices.

HOFT: Householder Orthogonal Fine-tuning Cwy parametrization: a solution for parallelized optimization of orthogonal and stiefel matrices

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:32.277973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:24.950066Z digest=sha256:ef5b9c025e28d01e250c5e1e5cc4b72bdc6ca8010133e9939cc73dc23585a900

Observation 065940aa-b464-4c1f-aa1b-41bcb384c14c · outbound

This paper cites Regularizing neural networks via minimizing hyperspherical energy.Conference on Computer Vision and Pattern Recognition, 2020.

HOFT: Householder Orthogonal Fine-tuning Regularizing neural networks via minimizing hyperspherical energy.Conference on Computer Vision and Pattern Recognition, 2020

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:32.066197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:25.017143Z digest=sha256:24e46880eef1ca0fdc8fb2021a4125973a5ce9abb3dde84a1f4d56c6b4fb17cb

Observation 1977f89c-10e6-452b-880d-95529062182b · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation.

HOFT: Householder Orthogonal Fine-tuning Dora: Weight-decomposed low-rank adaptation

Reference 27

Resolution
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no resolver link, observed 2026-08-07T15:04:25.069333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:25.069333Z digest=sha256:21b109564917e2df05a6d7750b2de82f338b0b2b80f5e4bec161d52f9a930b4a

Observation a3332f8c-e490-4cd8-a5ad-fb5a109c25b4 · outbound

This paper cites Learning towards minimum hyperspherical energy.NeurIPS, 2018.

HOFT: Householder Orthogonal Fine-tuning Learning towards minimum hyperspherical energy.NeurIPS, 2018

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:31.952785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:25.182282Z digest=sha256:2cbc1d947dd18eca51bb306be93f43e80df92112a5de908f7f9d204c71603750

Observation fb282719-4d9f-4e90-b99d-d4327912309c · outbound

This paper cites Parameter-efficient orthogonal finetuning via butterfly factorization.International Conference on Learning Representations, 2024.

HOFT: Householder Orthogonal Fine-tuning Parameter-efficient orthogonal finetuning via butterfly factorization.International Conference on Learning Representations, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:31.774029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:25.364751Z digest=sha256:893059414962360096016f9fe9666367cc4ec6cc35e591b9f397c4fa57f705c7

Observation 979a34ef-63a3-4de6-b239-0d6ec8f1a1b7 · outbound

This paper cites Pissa: Principal singular values and singular vectors adaptation of large language models.Advances in Neural Information Processing Systems, 37:121038–121072, 2024.

HOFT: Householder Orthogonal Fine-tuning Pissa: Principal singular values and singular vectors adaptation of large language models.Advances in Neural Information Processing Systems, 37:121038–121072, 2024

Reference 30

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no resolver link, observed 2026-08-07T15:04:25.754297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:25.754297Z digest=sha256:10b686f9b54e24de79761af66ccdca11b75ab592eb900c64123f5ca20baec457

Observation 30c0e041-6bc3-4cc7-a674-c2bd9d8725be · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

HOFT: Householder Orthogonal Fine-tuning Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 31

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no resolver link, observed 2026-08-07T15:04:26.681574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:26.681574Z digest=sha256:3f29e190b1c3bd7cb057da2e7c0a091eb7a2ca3bac234627cb41d0e8eb2b4cbe

Observation 147b5646-d06e-4829-be86-0b784b9c3fc7 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

HOFT: Householder Orthogonal Fine-tuning Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:27.553931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:27.553931Z digest=sha256:98594217e7792f38a10474b29c3ee885c0a0d4d52d36d13ad8e2bee913ebb95c

Observation 9edc533c-7fec-4351-a0f1-9f5345a2cf88 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

HOFT: Householder Orthogonal Fine-tuning Bleu: a method for automatic evaluation of machine translation

Reference 33

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no resolver link, observed 2026-08-07T15:04:27.683447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:27.683447Z digest=sha256:6ea6e22a177f03603460fa54559934c54c90e1cc0dcdcab65af9d9724a4764ed

Observation b94aa9dc-0773-4205-b1ec-f5739c7abbfe · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

HOFT: Householder Orthogonal Fine-tuning Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:31.640241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:27.790691Z digest=sha256:a71a839860f06a1d24b03ecb42bb9354da980e053a83bdc2fa7a4a5ed8f4396b

Observation 82d54cb0-4007-4039-b97c-ae2b4fdc6de0 · outbound

This paper cites A call for clarity in reporting BLEU scores.

HOFT: Householder Orthogonal Fine-tuning A call for clarity in reporting BLEU scores

Reference 35

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no resolver link, observed 2026-08-07T15:04:27.889642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:27.889642Z digest=sha256:b4d8236c46225d81524078f6a29b66ff16e977cf89008a34f8bd6de90b691b46

Observation 8d407e85-2460-45ed-9c07-d348186904fa · outbound

This paper cites Controlling text-to-image diffusion by orthogonal finetuning.

HOFT: Householder Orthogonal Fine-tuning Controlling text-to-image diffusion by orthogonal finetuning

Reference 36

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unresolved
no resolver link, observed 2026-08-07T15:04:27.998583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:27.998583Z digest=sha256:529203a4aca3156cb6296b8804b2b512b64381b3765a3c77fd70802db97b9e08

Observation 62c5710f-6f98-4284-ad8c-94ba833993bd · outbound

This paper cites Learning transferable visual models from natural language supervision.

HOFT: Householder Orthogonal Fine-tuning Learning transferable visual models from natural language supervision

Reference 37

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source=pdf_text observed=2026-08-07T15:04:28.105986Z digest=sha256:fe09330d330da1251e1994a14eb177cdc1d13ec1beab20d40e597944256ebe1f

Observation f54a6c10-d26a-45a3-8784-9fc63faaf5d4 · outbound

This paper cites COMET: A neural framework for MT evaluation.

HOFT: Householder Orthogonal Fine-tuning COMET: A neural framework for MT evaluation

Reference 38

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source=pdf_text observed=2026-08-07T15:04:28.246023Z digest=sha256:69a64d791ab3bb22fc801d43be30c289a82fa37ffc43c81eff942ad750f82378

Observation 111d9cc8-b50a-46e5-be0e-a8b6e27cc5b9 · outbound

This paper cites an unresolved cited work.

HOFT: Householder Orthogonal Fine-tuning Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-07T15:04:31.481200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:28.384080Z digest=sha256:6b6a0bbfd837c73ae5ae7639207cb1f229fd8afc62fbb122768a3a50977ad089

Observation a1f69002-a27b-49f7-8d1d-2850f1e07c72 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

HOFT: Householder Orthogonal Fine-tuning High- resolution image synthesis with latent diffusion models

Reference 40

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source=pdf_text observed=2026-08-07T15:04:28.478454Z digest=sha256:de5bf414e91cc6f51c3f4d81409a988d7ef2618824bc5710aa2201b2b9b523a9

Observation c225c952-0f62-49a5-a99d-aabcce4920e9 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

HOFT: Householder Orthogonal Fine-tuning Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:31.290707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:28.562887Z digest=sha256:c8b7f53a833c39c8603074b5ab62efe2aa27a3cf55e7e759606c30b3e948c944

Observation 14ee0781-6991-4564-a11b-004a25a5521d · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

HOFT: Householder Orthogonal Fine-tuning Winogrande: An adversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 42

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source=pdf_text observed=2026-08-07T15:04:28.644915Z digest=sha256:6314a063fbc08e2c0dc61b849c2bf1fb3cd455f582dc4eb7e83c1505ea5b5873

Observation 6d2706b9-65ac-4f1e-89e6-d268c88f7bc8 · outbound

This paper cites Social iqa: Commonsense reasoning about social interactions.

HOFT: Householder Orthogonal Fine-tuning Social iqa: Commonsense reasoning about social interactions

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:04:28.674672Z digest=sha256:b9603ae54406d59b4d85ef336016b4b9b3827f60810ecf03d1f8db004d4417fa

Observation bb3b69a0-6621-4a00-8fb1-ac9d1a58c56d · outbound

This paper cites ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.

HOFT: Householder Orthogonal Fine-tuning ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks

Reference 44

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no resolver link, observed 2026-08-07T15:04:28.694089Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:04:28.694089Z digest=sha256:6556e2508e4f3e2215534a713f85571463e303d997bd6a093e51856e17ad9897

Observation d6c83281-ac3f-414c-9dc3-2ea8774ddd2a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

HOFT: Householder Orthogonal Fine-tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

Resolution
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no resolver link, observed 2026-08-07T15:04:28.757200Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:04:28.757200Z digest=sha256:093cef49795fe0922f7e798ede5f5b88c4d8f2f0343d934e982a738cc2709969

Observation 4306f294-515d-4416-984d-5d1f19cb00fc · outbound

This paper cites Dylora: Parameter- efficient tuning of pre-trained models using dynamic search-free low-rank adaptation.

HOFT: Householder Orthogonal Fine-tuning Dylora: Parameter- efficient tuning of pre-trained models using dynamic search-free low-rank adaptation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:31.138645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:28.804217Z digest=sha256:87632de8abb52a507d23971d26d3b869148606c88c390b0549d073103d7f5a8f

Observation 2de3151f-d98d-4c02-ac72-a30555da1b95 · outbound

This paper cites CoVoST 2 and Massively Multilingual Speech-to-Text Translation.

HOFT: Householder Orthogonal Fine-tuning CoVoST 2 and Massively Multilingual Speech-to-Text Translation

Reference 47

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no resolver link, observed 2026-08-07T15:04:28.853168Z

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source=pdf_text observed=2026-08-07T15:04:28.853168Z digest=sha256:d466ca88b3ed691fe281f9a0bbf42c653d302040d74212da2fc48aef1546f9a1

Observation ae662c35-eb1a-486a-9f70-a485d987a9b5 · outbound

This paper cites Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs.

HOFT: Householder Orthogonal Fine-tuning Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs

Reference 48

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verified exact
local_arxiv, observed 2026-08-07T15:04:29.516116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:28.900604Z digest=sha256:b93a1e324351f59759a3d0e2f3438590faebe22e690e76e9da96bb74c3243ab6

Observation 7b18d752-6afe-4fa1-8ea0-c14428cc1e91 · outbound

This paper cites Qa-lora: Quantization-aware low-rank adaptation of large language models.

HOFT: Householder Orthogonal Fine-tuning Qa-lora: Quantization-aware low-rank adaptation of large language models

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:30.982148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:28.960378Z digest=sha256:4251a0911b96ecbd297d35404c1b04537dfba242783e063f2c6df70b15061150

Observation 1ce3e994-1fd8-4100-83e6-d718c7c8638e · outbound

This paper cites Qwen2.5 Technical Report.

HOFT: Householder Orthogonal Fine-tuning Qwen2.5 Technical Report

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:04:29.014288Z digest=sha256:a77d7c0728e224036257f493c4520430ffb65d27cb3c3203a917f05913fc7fc3

Observation ace569a3-0c6c-45f9-b559-d2a5cdfe8f95 · outbound

This paper cites Navigating text-to-image customization: From lycoris fine-tuning to model evaluation.

HOFT: Householder Orthogonal Fine-tuning Navigating text-to-image customization: From lycoris fine-tuning to model evaluation

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:30.841975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:29.069853Z digest=sha256:f0748af5f650d6a8e20952059757b3a7fa354eac497a6475e81fa0bb48856ef3

Observation 230774c2-a3d4-4308-bf4c-ed658ce441ab · outbound

This paper cites Metamath: Bootstrap your own mathematical questions for large language models.

HOFT: Householder Orthogonal Fine-tuning Metamath: Bootstrap your own mathematical questions for large language models

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:30.633052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:29.118945Z digest=sha256:7c0f05ff6b79b9ab80121e3b2dc612913baf3aeb0ccd932ba54e4fbd6ea3ae7e

Observation 8b36d068-6611-435d-89ea-365d289e303e · outbound

This paper cites Bridging the gap between low-rank and orthogonal adaptation via householder reflection adaptation.NeurIPS, 2024.

HOFT: Householder Orthogonal Fine-tuning Bridging the gap between low-rank and orthogonal adaptation via householder reflection adaptation.NeurIPS, 2024

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:30.475334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:29.189069Z digest=sha256:fff473ae961a1324290e6b0536bfc9ff6e33083aee12b52a68f97c009d3fa78b

Observation 88e6c58f-a666-408d-a383-877d9bd740a8 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019.

HOFT: Householder Orthogonal Fine-tuning Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019

Reference 54

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source=pdf_text observed=2026-08-07T15:04:29.250290Z digest=sha256:36d433e49dac7553239442271b2f94c886c4cc907c70bef670f0c6ca1152b9cb

Observation ea443d2e-c893-4f57-a82c-3e340eb17ccc · outbound

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

HOFT: Householder Orthogonal Fine-tuning Adaptive budget allocation for parameter-efficient fine-tuning

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-07T15:04:30.302288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:29.325117Z digest=sha256:2596ff2270b11dcf5f54eae5b94ec53d9b624be3fd445a6256604adbc037a5cb

Observation 9a8124eb-d0b2-4c08-841f-6174834547b4 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

HOFT: Householder Orthogonal Fine-tuning Efros, Eli Shechtman, and Oliver Wang

Reference 56

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malformed identifier
raw_fallback, observed 2026-08-07T15:04:30.121223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:04:29.362660Z digest=sha256:db0ceaad991464f520c5a62758a6e68688e123799be4e5e65c737ca381343754

Observation 1e963989-4da7-4265-8823-7489b29bef95 · outbound

This paper cites doi: 10.18653/v1/2021.acl-long.568.

HOFT: Householder Orthogonal Fine-tuning doi: 10.18653/v1/2021.acl-long.568

Reference 2021

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source=pdf_text observed=2026-08-07T15:04:22.761035Z digest=sha256:e3f85cb065b1270c38e221f0462108deec76e25ce555144168a2060510de6d8d

Pith citing papers

Observation 40d14bc8-0c3c-49aa-9c42-5b578daf273d · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning HOFT: Householder Orthogonal Fine-tuning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:48:11.488280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T17:46:54.521991Z digest=sha256:dd4ae854e3b1c0d4690a923aa58bd39faf19addf6710c17ad1e4eab0d45b6139

Observation e1157fb3-0111-449e-adff-eb4b580fa9da · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning HOFT: Householder Orthogonal Fine-tuning

Reference 1

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unresolved
no resolver link, observed 2026-08-03T13:08:23.376106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:08:23.376106Z digest=sha256:fc5c12b9a2ecf898329e51e86de3541d13365c4e80b16d034eceba58b76053d3

Observation 6c793955-a42c-49f4-8290-ef3e2cfcbcb5 · inbound

LoCO: Low-rank Compositional Rotation Fine-tuning cites this paper.

LoCO: Low-rank Compositional Rotation Fine-tuning HOFT: Householder Orthogonal Fine-tuning

Reference 2

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verified exact
arxiv_id, observed 2026-05-20T19:53:42.667268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T19:51:58.803015Z digest=sha256:9f06e19419cd79521ba59f47b27a45fdf83b4e34ba3bc77de1ac16dc5985de97