Paper Citation Record · LEDGER

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.12021.

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

pith.paper-citation-record.v1
2505.12021 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:47:46.084791Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy29
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 708ce569-79bf-4f1c-8cf0-fe78c8560438 · outbound

This paper cites Do better imagenet models transfer better? In CVPR, pages 2661–2671, 2019.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Do better imagenet models transfer better? In CVPR, pages 2661–2671, 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.735796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 77cf6740-623c-401e-a8bb-1315df66540e · outbound

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

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Learning transferable visual models from natural language supervision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.718550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fcffcbcf-ba79-4e7c-be88-44fc1de485a4 · outbound

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

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Emerging properties in self-supervised vision transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.701269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be113828-05a8-40bf-9d8a-1bf127812345 · outbound

This paper cites Segment anything.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Segment anything

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.682522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a39abb6-3096-4565-8d9f-ffefb26f8e50 · outbound

This paper cites Editing models with task arithmetic.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Editing models with task arithmetic

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.664899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a1f5c3e-0aa9-41e8-89b7-7e1c7b078b70 · outbound

This paper cites Model soups: Averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Model soups: Averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.646241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4c129b2-92e0-4442-9f64-5c9c1ab1c463 · outbound

This paper cites Roy, and Michael Carbin.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Roy, and Michael Carbin

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.628740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5cfb642-6023-43c0-ad52-2c606a58476d · outbound

This paper cites Towards general purpose vision systems: An end-to-end task-agnostic vision-language architecture.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Towards general purpose vision systems: An end-to-end task-agnostic vision-language architecture

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.609069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fc827ae-3107-4333-9a19-22a2e307dc84 · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Git re-basin: Merging models modulo permutation symmetries

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.587880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1f62313-dd4e-458c-ad00-02a3966cc75d · outbound

This paper cites Zipit! merging models from different tasks without training.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Zipit! merging models from different tasks without training

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.565040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9ac3f6b-dc79-44eb-9b01-0607a6f83bd1 · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.545068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28fe8406-bc73-4d4b-a36e-58a9b6ea394b · outbound

This paper cites Efficient model editing with task-localized sparse fine-tuning.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Efficient model editing with task-localized sparse fine-tuning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.525653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82b26b1b-26c5-4fa3-8e3b-fb506e0fda2e · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Adamerging: Adaptive model merging for multi-task learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.502977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 29b1f7ff-f174-41da-bbed-42b7f555ced1 · outbound

This paper cites Localize-and-stitch: Efficient model merging via sparse task arithmetic.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Localize-and-stitch: Efficient model merging via sparse task arithmetic

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.484122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24074308-f709-43c2-be42-a14f81df0f62 · outbound

This paper cites Merging models with fisher-weighted averaging.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Merging models with fisher-weighted averaging

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.465766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8733161-ff35-4487-a2a3-09e8d9949c4d · outbound

This paper cites Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:45.995222Z

Source-reported events for the cited work

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Observation e50c35e9-516e-4734-a731-d239a57473ec · outbound

This paper cites Zhang et al.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Zhang et al

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.447186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab7f36e9-75e7-4a19-bac7-8dc93f3cf0d6 · outbound

This paper cites Vision-language models create cross-modal task representations.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Vision-language models create cross-modal task representations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.429001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c52deeed-b0be-4f31-a9ee-bd92566d8583 · outbound

This paper cites Task arithmetic in trust region: A training-free model merging approach to navigate knowledge conflicts.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Task arithmetic in trust region: A training-free model merging approach to navigate knowledge conflicts

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.411458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 160fda01-7bc4-4cd3-bf99-5a5fe5c25e51 · outbound

This paper cites When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.393074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca29d9d2-e3fa-4685-a739-271a3eda4d6a · outbound

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

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment An image is worth 16x16 words: Transformers for image recognition at scale

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.374898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04445cb4-7a1c-472d-9889-d1faec7f1069 · outbound

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

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Lora: Low-rank adaptation of large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.355662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13b2569b-cee0-4341-b450-ffde6a13616b · outbound

This paper cites Yfcc100m: The new data in multimedia research.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Yfcc100m: The new data in multimedia research

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.336621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78e02248-ee23-4c5d-b662-a93b3f9ebc42 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:46.037842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb963ba-aa00-442c-bc86-1a1688cd6e44 · outbound

This paper cites 3d object representations for fine-grained categorization.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment 3d object representations for fine-grained categorization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.318403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9c948ab-873d-431b-9c01-5d48fd8859c9 · outbound

This paper cites Describing textures in the wild.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Describing textures in the wild

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.298122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b950c6d3-09c3-468c-ac54-4feff196e0b9 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.275959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 023f58d2-9730-417c-90b1-6a6a2036d349 · outbound

This paper cites The german traffic sign recognition benchmark: A multi-class classification competition.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment The german traffic sign recognition benchmark: A multi-class classification competition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.255528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1fad760-d8ef-4b56-9374-11aefe71f5e3 · outbound

This paper cites Gradient-based learning applied to document recognition.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Gradient-based learning applied to document recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:46.064593Z

Source-reported events for the cited work

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Observation 0dfdbeeb-96e6-4058-a534-d78cba5d93c8 · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Remote sensing image scene classification: Benchmark and state of the art

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:46.069696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee6e656-3801-4ab9-b661-31026bacd9dc · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Sun database: Large-scale scene recognition from abbey to zoo

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.203700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db8c92a0-20e3-4706-8aeb-838cc96105ac · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Reading digits in natural images with unsupervised feature learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.185692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f3283b7-1b05-4c2d-bfa3-151ae0585497 · outbound

This paper cites Decoupled weight decay regularization.

Cross-Model Transfer of Task Vectors via Few-Shot Orthogonal Alignment Decoupled weight decay regularization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:46.166550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.