Pith. sign in

Paper Citation Record · LEDGER

HOFT: Householder Orthogonal Fine-tuning

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
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=sha256:9a089bc0ffb895258196752e725903042d0f23145ae401a56299176df94b517c

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

Resolution
unresolved
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:b8efc68cede2e29c9741b15bac9ab6bbf20ac0e97f46e84ddd5ea605e04a321e

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
unresolved
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:a283bc106f05cbf3a57ebc70b13c2a0a7eb295636dcda92a0e4dfde59576cb7b

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=sha256:9d9250f15a5f919f852843815be39332a34d9b5274c2956cf0320323ce6fee1e

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

Resolution
unresolved
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:ee7753e7154ea5d0a5b75e3aae08afe9d8e5d19865383283d3a6920a7ac83be4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:23.094413Z digest=sha256:13e0f1c9fad3ca06dca99418d6163a74f6ddcce7e52f574694e2e602026a5540

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

Resolution
unresolved
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=sha256:122034eb0e281f9e9e9804f0c0e6c46894d1c62c426cf6dd21d01ae06d4408fe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:23.254270Z digest=sha256:f08f7f76a6e1882ae86bb4bbca6ea32bfd50918e366687dd25e22fde7b7a1dfa

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

Resolution
unresolved
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=sha256:5eed609fc054f8582446b7ca7ca7af90efd9632f39958b7fdb0b5c41235592ac

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

Resolution
unresolved
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=sha256:33bd3a736d1d5b0ef5a7049c29f1a57d179a6d93da37e7c3c7c2382a11c13910

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

Resolution
unresolved
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=sha256:9f24bf8dea57c707f38376e81caabee3228b8f0802e3c7c5123a2e22b924f05b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:23.630773Z digest=sha256:ec008c9ad61dd876ef4a8a8c436f079b669062c520045b2b3c8b9fce1e271ec6

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

Resolution
unresolved
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=sha256:965d0a43c99188bbd8d26456f37abaef823513c6e7cb26dbc7f3bc08c302b445

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:23.899047Z digest=sha256:2ffd0ab76735085924b052b977f96603a865650a65a879647d26a6147f7e699b

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

Resolution
unresolved
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:a88a4b5d27a55e8027b34f85829ecc2b40eedd8d5fd1db594204b18d52ff6901

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

Resolution
unresolved
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=sha256:44dfefa23203c22811f098b08733cfefb03e76b602b6b85b8c1a0006597b58c0

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

Resolution
unresolved
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:cc0c2efdc1b8acd509bf989ba0c57bfa1034453471311728a8fe03f6976eb199

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

Resolution
unresolved
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=sha256:640f6d2a77956f79643fb9cb50e0ce2c46b495cec186cb30cbe93afde2a7aeb9

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
unresolved
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=sha256:8f3802cbb443ca31833ceac74423acd8b3808ffd70b26a748b6441e22296ceb1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.476534Z digest=sha256:4a5febedbb6603476fe9d784aa6e00a7825d1017895bd5581e6c1b21cdf2b9c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.573850Z digest=sha256:fbae5d304c978892bf58d0874014d7760fc73113b818155df3f14cd5540076cf

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

This paper cites an unresolved cited work.

HOFT: Householder Orthogonal Fine-tuning Unresolved cited work

Reference 22

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.654576Z digest=sha256:18c42e105ea32d21d88b99adb79170ff5d6130be8cd7e4077fd1081d27d9bfc2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.749878Z digest=sha256:2591e5097cc3079d1a80d937cb8a8e786e0d3fd3bce1662fb40f4a2c1305d651

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.848085Z digest=sha256:715cc0a6f4ca908a1c14fc815ea820644a5b2ba4f9937a50cf7df9717eb2be1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:24.950066Z digest=sha256:db9471df3042a60e4043318f19a4e44501a9208a35123d7feb28fc834afc8c0d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:25.017143Z digest=sha256:8fbe8e6049a8770406d8f9015b27565e8ed2e6b05f964b7533fc4f093604e9e9

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
unresolved
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:fbb43392c1e0ca66eddcc2032a8326255355dd8c454eb25713969dcacd87d894

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:25.182282Z digest=sha256:586d2c0be781e9fa1d9db49440f3f03e250a6331a4efadff500f52f351681543

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:25.364751Z digest=sha256:86b58d60b660e33d96470dd9c130cab48ef1526e78464e521e15f2cef57cf654

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

Resolution
unresolved
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=sha256:5d7c3b73a0f08e7def6e1876e3d1f04a57b6b6bcb098631859556d008b213205

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

Resolution
unresolved
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=sha256:9ea5f6ee6117da98fe04db7af84fbb95fce4f6796ef30d67acdc0e3d9074d3b5

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:ccd08acdb9a411159523c43daf1b41b2792df37dbaefeb8387ce2c1489c1aa08

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

Resolution
unresolved
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=sha256:964969e62bba79cd31f70e735bd7b2ea2422bb411afaeba1456d639cc78cdb1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:27.790691Z digest=sha256:7d5d07e2807657ee0acdff8c6ebccef2604193e18516d6775fe493f6905ba496

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

Resolution
unresolved
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:a82b144cdaa729538b2b524254b21c7d6433f3d9df96ca26a2a91cd76127ab76

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

Resolution
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=sha256:3fc7f9f5b57bd962e4aae20ea7d91452f89da60ab1102db77949dcb8ffca6e3a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:28.105986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.105986Z digest=sha256:115d281d7eb5d8fed64f6691f369537892be085bc88961928b4b4b3a78eb133c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:28.246023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.246023Z digest=sha256:795fc08e43a80c9bd5cfa3b5051ef6d0a1831d0e81a619802ff7e841c436a95c

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

This paper cites an unresolved cited work.

HOFT: Householder Orthogonal Fine-tuning Unresolved cited work

Reference 39

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:28.384080Z digest=sha256:afe2b99ae693eacfade99c3ba3cb35e97c89b28da473b6e9d2ad8a3ee5f00c72

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:28.478454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.478454Z digest=sha256:983d929fbb200b0c8891537ffc8f254472186bd485dfc8e37b38f10911647cbb

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:28.562887Z digest=sha256:2ea3294889fe9584d2d22f838033c55dd043b8c809b52ca255bcdba06d7534b2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:28.644915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.644915Z digest=sha256:c8f3aa635b64f8ed917ae113241617ff8be397290e912b0e067000225540ceaf

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:28.674672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.674672Z digest=sha256:0487d6a6712b34967c12b2e9ca61cd77ac65a4673dd6866dac127c75b7b0f513

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.694089Z digest=sha256:4d04ce3b79c82a71cacc34c8fc788cae282fb2f63460683acec1a46fc0e8fe5e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.757200Z digest=sha256:6aa89fb95baec47401511ea017fc6cdfea7a35abe5c699d972bc9f5fcc4b2060

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:28.804217Z digest=sha256:df6af9262eccd4f3d625d77b07c3e9cc196be73da8df7a97ff38acd8f79d475b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:28.853168Z digest=sha256:8993afa23adecbde347f97944668061a913901433b9e53fb2d6ed417fe536ddd

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:28.900604Z digest=sha256:1be9bb8e3d4d10a6e9f52159de5bd132583686b939b4130766a32b64f502c63e

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:28.960378Z digest=sha256:f071ef1b3516b6a42c8841ce62377db32a17c790077b1ef12d393a1131d8f80e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:29.014288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:29.014288Z digest=sha256:e0f526217c0dc8f2f7ccb7b007ef06dab8b203484477bc69ea095c9d8e312be4

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:29.069853Z digest=sha256:2818feffdda0c86be879043f4c0da0556037502f5bdab7411aec9f3fbe9634da

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:29.118945Z digest=sha256:80734c3244760804576fd34f65a6cd0bf3b1b513c4bd043c21eaf3d1bf233c09

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:29.189069Z digest=sha256:7b344c11b58ae70a78bd1106bd59db245938f97bebc1830bf721f147446a3e33

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:29.250290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:29.250290Z digest=sha256:bcd59c903413b58f8077dff961e23bb0ea8d699ba572205ab260a59863a4b096

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:29.325117Z digest=sha256:1d177d8a023d3b981edd4e657da8e356927bfecc5e5af9ee24e50acf52e4ebae

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:04:29.362660Z digest=sha256:f8e05f9c64f365134fd3d339639a6d6ffa41946f1bb2cf467177c68fb3869d41

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:22.761035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:22.761035Z digest=sha256:8a392cf45cdee7c05534877ce5c9a6c84a861519cf711b8090218df99623d8fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T17:46:54.521991Z digest=sha256:01b2578f95229ae33a33e5bb9335a4b15ec3367762e79419eeddba961ab06598

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

Deep Delta Learning cites this paper.

Deep Delta Learning HOFT: Householder Orthogonal Fine-tuning

Reference 1

Resolution
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:e8d2b104bbaed768340c0501dc2269449624683406c943e564677559887c81bf

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T19:51:58.803015Z digest=sha256:758a77fa7124f385cbe317b930b2c1237753317b385ed825ca09e1e7c3f2d101