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Paper Citation Record · LEDGER

DoRA: Weight-Decomposed Low-Rank Adaptation

As of 5 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 49 inbound Pith citation observations for arXiv:2402.09353.

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

pith.paper-citation-record.v1
2402.09353 v6

Coverage vector

measured 100 of 108 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T22:26:21.449135Z

measured 149 of 149 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:11:16.262056Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T11:37:03.195647Z

Reference resolution

100 of 108 outbound references displayed

  • verified exact7
  • verified fuzzy85
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e225ea46-d16c-401e-9dfe-3e40c32483cc · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.935308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:7e76473ded11ddca55ace99dc14a50cff221c6e66bf2972dbde666b6ed5ab647

Observation 0e1019ea-7b00-4b28-98cb-9661ea229217 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation The Eleventh International Conference on Learning Representations , year=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.943026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:a33d3f824ec08d5c412c17e55e846a51e06ac5a3fa60807a46c4eeaa23dd13bf

Observation 93c0e27c-e17d-4036-b883-6ab2f84426a9 · outbound

This paper cites International Conference on Learning Representations , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation International Conference on Learning Representations , year=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.947387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:94206587927b3d8af297ccc9a3cd0a374488793779b3f52a32c47d810ce535c8

Observation b1655d3e-5d08-4209-9328-ead4fe09facc · outbound

This paper cites International Conference on Learning Representations , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation International Conference on Learning Representations , year=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.951717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:e45e6b3a296583cc0ff4fe6e662df2546d348d859233ba00c5ab78907255304b

Observation 956f46ed-29e6-4e83-8e31-a3e274f6b5ff · outbound

This paper cites Proceedings of the 30th International Conference on Neural Information Processing Systems , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the 30th International Conference on Neural Information Processing Systems , pages=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.955823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:cc8718aa87500b71823cd8e303034173329a9c5719a5597397ac7bc2bc7a2295

Observation 0e6c491a-a163-41d9-a29b-a2eb31bede3b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.960160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:8ca774cab1a92eb6b52f6283ddc74bf9d93b391fbe6ca50b604679e36c9405bc

Observation 1b56acf4-1018-41ac-a885-7a9caa2943dd · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation LLM -Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.968180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:6ebc957054c6ac50eea74abd5ab5fb523f952facbf1cad506271e6e8fbdde59e

Observation 52117416-7609-4559-990b-0c61fc2880be · outbound

This paper cites Hashimoto , title =.

DoRA: Weight-Decomposed Low-Rank Adaptation Hashimoto , title =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.972268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:9f274361f026aecaeadd98984ef9e4d6defaf05d15efeefc6c6487dd049574bf

Observation cccd5523-bcbc-4657-ae00-414fe9bc6458 · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE International Conference on Computer Vision , pages=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.976329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:fe772ebdacf95348a85e8669924ea26e8a59331da0a995d19347f350732f4299

Observation dea1dab1-bd13-4b2b-a366-4862e2c45f3a · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.980617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c6458ab0dfc1259e95e56debfa426b4c6cffa29e89dd61ac5939e8b1de7617c5

Observation 04ab9676-6320-43c7-92be-9f9eeae4a67e · outbound

This paper cites International Conference on Machine Learning , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation International Conference on Machine Learning , pages=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.984253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:5692ab60e34dea2910034d05c87c40294ccbeeffcf85aeca8834039fda03e759

Observation 18e4ef6e-70d8-478f-a105-acd5bbf39ae2 · outbound

This paper cites International Conference on Learning Representations , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation International Conference on Learning Representations , year=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.595859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:7e053494ce56d645c3fc9812292a16eec396f7883c87a33d94d7166f9f698751

Observation 7999fedd-9062-4760-ad98-c2cc476f105f · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.599939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:01fecf19a569559f05aa33ee2ab2736ece337da30831ad01e37b5d11cbc689f5

Observation 29d44080-e065-4b92-b700-fee2f57a393c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.604550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:33ded983e2bb9274c1357253a5583506d7e106216279c53310825798b568bd81

Observation f32bd855-3ffc-421f-8d71-38e2970a28ea · outbound

This paper cites A Corpus for Reasoning about Natural Language Grounded in Photographs.

DoRA: Weight-Decomposed Low-Rank Adaptation A Corpus for Reasoning about Natural Language Grounded in Photographs

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.608981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:fef52ed92dd51a344db5e4997e380ccb25b68c4220ca5da137a61333013533d1

Observation 63429f1c-0f7b-468c-a776-b57340829bee · outbound

This paper cites International conference on machine learning , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation International conference on machine learning , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.612746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:87fc3d9f0d2d38e0130c4d0a94d730b992751a8f9c9c066f72890c8274124573

Observation a9e56f4c-b514-42ab-ace3-2c399956d00d · outbound

This paper cites BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

DoRA: Weight-Decomposed Low-Rank Adaptation BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.616711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:1496e912664997ed3f4cd7bc9538392a47d5e5c8d36c082dd8cf5436d69fc270

Observation 29bfbc6b-ddfa-4b84-bd79-a644ea9f48d5 · outbound

This paper cites Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1) , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1) , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.620637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c7e3fd8788a1d4da7d9aae8925bbc023a2ad39ecc8996c397cb40f677f87b6ee

Observation a07d7384-f1bc-4567-84af-9f2eb4c7e48c · outbound

This paper cites TVQA : Localized, Compositional Video Question Answering.

DoRA: Weight-Decomposed Low-Rank Adaptation TVQA : Localized, Compositional Video Question Answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.624507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:a3ed6ad024286a60b365a9fd0c5cc3e7a94fe00269f32ac67bf4f591ee6e12b8

Observation a67fb232-fe86-4d72-81ab-a19273e0bfbe · outbound

This paper cites HERO : Hierarchical Encoder for V ideo+ L anguage Omni-representation Pre-training.

DoRA: Weight-Decomposed Low-Rank Adaptation HERO : Hierarchical Encoder for V ideo+ L anguage Omni-representation Pre-training

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.628988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:bce0db40773607bc6576c4f09ebd107663080895b7bbd6d214e5a52601c5c998

Observation d28da68a-5704-43e1-aefc-21bce8912560 · outbound

This paper cites European Conference on Computer Vision , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation European Conference on Computer Vision , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.632150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:e7602c03e5274ce585c7d20077db62456d37518fac1a8110e88fc79514e81ac9

Observation 1b01635c-0e9a-42e8-b78a-9edac4a4f57f · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.635475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:6391503cffe615d4cd049bf5077a4f794203cd99e4bfff96e949ee9bbc16d6cf

Observation d3d24a3f-3087-49fb-9fef-6fc11b343cfd · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.639123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c5929176a51476b121ee53a2f1d89cdace541cfb007a600c78988d7d09a0b274

Observation 182eba7c-4072-45fe-a932-d869b83c249a · outbound

This paper cites Proceedings of the IEEE/cvf conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE/cvf conference on computer vision and pattern recognition , pages=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.642786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:691490c82dbb97cda4e7c27dd37ccb6e03c939561be07cf7bf61725b54e24ec2

Observation 73cd20fb-4483-41c6-85f5-9ced59aef6ef · outbound

This paper cites European Conference on Computer Vision , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation European Conference on Computer Vision , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.646834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:318d2573a6d5a5d6467095eabce384feae30c915e0e19a7343855af91aee453d

Observation 2fe1b382-7323-45cd-b521-fb8fe4f07262 · outbound

This paper cites OCR-VQA: Visual Question Answering by Reading Text in Images , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation OCR-VQA: Visual Question Answering by Reading Text in Images , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.650698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:d505d6dcc81a505b307c5230411b0ba4fa9c610879526a9681f35b67c014e3e4

Observation 200843ec-8aae-455e-902a-fbf3674ae971 · outbound

This paper cites Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part II 16 , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part II 16 , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.654528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:5cfc045e39539d030e737a906a73608f6478ccc8867f7b1d3e6167fcb74a584d

Observation c7d54ada-49f1-4650-a777-6e4e46affeec · outbound

This paper cites R efer I t G ame: Referring to Objects in Photographs of Natural Scenes.

DoRA: Weight-Decomposed Low-Rank Adaptation R efer I t G ame: Referring to Objects in Photographs of Natural Scenes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.658861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:aa42e2cce91951d0f600903a204689dc5bc85e9ed5bbab1bce888756814c393b

Observation c56df67b-5da1-4ac9-a50f-3b4dee6b908f · outbound

This paper cites International journal of computer vision , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation International journal of computer vision , pages=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.663008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:143e3f087bd2b1e5d2874aeea3171708e5f4185d638c958041d1ce991e525e2c

Observation cd65f400-5f6f-404b-905c-0cb14ea512e2 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.673110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:1ea9c7f20b7f455a9c7b48e0d0897bd59424fa687d27b468b3c3f1a85fd547b7

Observation c527a08c-f3ab-41c6-b4b7-0c544c58fe63 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.677505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:fe286f37ce51ca38d9eb6a9ce2f620fbe087f886fa899485eee709484048b165

Observation 2dcadffa-d827-4aee-a725-5571c395da11 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Advances in Neural Information Processing Systems , pages=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.681010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:3fc04cb3d6f12a9ea349d3794c80d826b666d2992aa186b2fd8efd4f8126b54b

Observation e4db8d23-04be-4023-8f43-f34c980551fe · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.685070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:e95bb26a6d0e9a47e01948b94fafc83e3d6f9c43c151c926bbfbc1752cfb091b

Observation e1f68ed3-28e4-457e-8398-12de50476e5a · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

DoRA: Weight-Decomposed Low-Rank Adaptation Evaluating Object Hallucination in Large Vision-Language Models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.688608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:de69cf17f1daba3d33bbe0324588495a4da6fd409bd92b0063bbd95f503d7066

Observation 591ab0fd-f3cd-4cc0-84e6-fb22d10d83e2 · outbound

This paper cites Gonzalez and Ion Stoica , booktitle=.

DoRA: Weight-Decomposed Low-Rank Adaptation Gonzalez and Ion Stoica , booktitle=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.692290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:1e3c8cf447998bcefdac2f351310ca359b1d92948551bdd7091f06e0cb86489d

Observation 6722697c-e780-4c51-b194-0f9d307026fc · outbound

This paper cites Is ChatGPT a General-Purpose Natural Language Processing Task Solver?.

DoRA: Weight-Decomposed Low-Rank Adaptation Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.695985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:4578eb25bc87cdab2621e8d887388582bc0147abae4f64a0d8c86b2c179dbf57

Observation 7699e976-2a4a-4185-9e14-cca4531932fb · outbound

This paper cites International Conference on Machine Learning , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation International Conference on Machine Learning , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.700126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:131c83c346a83734863e4a9f51f5527f36b4d342982d6275987406659b17139f

Observation c510fe53-46db-4c00-adbb-9f53b0926a0f · outbound

This paper cites B it F it: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models.

DoRA: Weight-Decomposed Low-Rank Adaptation B it F it: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.703836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:d09bff177ef983ff78a239368a264965575ab1c2029b19e4ad95cff6ad429896

Observation ec03d46f-799a-4801-9de0-b37e7163d46b · outbound

This paper cites Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

DoRA: Weight-Decomposed Low-Rank Adaptation Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.707587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:56e8592cd394bf67a355a6a2e2b0339aa0407820e249c1ce90d94b3b9ab5f756

Observation 8ecf368a-61fe-4cde-85e2-559b8d372365 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Advances in Neural Information Processing Systems , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.711143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:7aa3b4f21a8a4802ac8458427f3a55e76f191880b1d8326e0d58d7a092067c31

Observation 866ae9ff-6d4d-46bd-85db-89d0f039b883 · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.714878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:709bc414d659697df97c3e108bcaa8a966e05bfe9a8418ab6d0689d04d649c8b

Observation 2b1882fc-ee0c-4e73-b18c-7848b66fc8d4 · outbound

This paper cites Residual Prompt Tuning: improving prompt tuning with residual reparameterization.

DoRA: Weight-Decomposed Low-Rank Adaptation Residual Prompt Tuning: improving prompt tuning with residual reparameterization

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.718754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:93296d463ab5bd692d0eac71ef6282f3e9995af19d1f0cbcfa413735e8e08ea8

Observation 1776e023-3dc2-41ed-ac8c-44a72f446e95 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.722294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:3cd147293d145554fee361afaedaa5acb832a2f47a56d2f4a94d3b1a80deeb2c

Observation fec6d51d-7904-44fd-8f24-293a1c56b261 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

DoRA: Weight-Decomposed Low-Rank Adaptation Advances in Neural Information Processing Systems , year=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.726534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:7bf52025fe1fcef55f225011f4b641f6896e5f23c477aca1e8fc03bc2f8aaf3e

Observation f236dc73-28ae-4687-b96a-6b7c9b952b76 · outbound

This paper cites 2023 , url=.

DoRA: Weight-Decomposed Low-Rank Adaptation 2023 , url=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.729465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:f92011c7e0a722435bb7e1c42b1efadc1211111b70b9ba28bf0ff54d7667d706

Observation cee7751b-097a-486d-ab45-abc7a472fff2 · outbound

This paper cites 2024 , eprint=.

DoRA: Weight-Decomposed Low-Rank Adaptation 2024 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.732397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:02531fa7a714571103ddc2c83796abd1aa6f0850fb1f0b557deb2b70fdd3c6bd

Observation f4bec78f-4a89-41ee-b7fe-b5dc7354db05 · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.735550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:f8204d6ff7ee2fb87e1f5f6e7cd48b53efc74eed459db76dd0dc0fa5e0f47b05

Observation 0a26b160-52e2-43c3-97a1-46a5ffe78f83 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs , volume =.

DoRA: Weight-Decomposed Low-Rank Adaptation QLoRA: Efficient Finetuning of Quantized LLMs , volume =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.738726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:cfaeb6725ce78f41709c09db6756097f3f0d881f1488789960123eb9931768af

Observation f7e0ba66-fcd0-4710-b9b4-b4c5af076e50 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

DoRA: Weight-Decomposed Low-Rank Adaptation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.742455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:64a4c985ded62b99d420b579edcdfdd9aa327075433bcd4bc181add3cfa1ae85

Observation 2a143420-8309-4e39-ad92-46cc99f2d939 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

DoRA: Weight-Decomposed Low-Rank Adaptation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:26:21.591591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:b797e7fce4339a47435909da0ccee341ec96abd7f9a9404f493fb1f1d0d5c363

Observation 1f70fe18-df07-443d-a423-e393259959ff · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

DoRA: Weight-Decomposed Low-Rank Adaptation Qlora: Efficient finetuning of quantized llms

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.746130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:6e1e8b56f773111afc301146e5a5e5727bc6b4b0506c63b8e51a9d02a695dfef

Observation bcdfe357-9a0f-4440-b74d-ca53a4183ce2 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

DoRA: Weight-Decomposed Low-Rank Adaptation Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.750340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:808f674c6ad552bd69321432d5989914a19e063ef89c5bc282624ff4fb271fc9

Observation b2d0d580-a54d-46de-86de-7a2fc5a5ca2f · outbound

This paper cites J., Guo, A., Lin, C., Grauman, K., Luo, J., and Bigham, J.

DoRA: Weight-Decomposed Low-Rank Adaptation J., Guo, A., Lin, C., Grauman, K., Luo, J., and Bigham, J

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.753976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:becbd17c974296fb6d4c44d00af7292118bb1965aa710c4e00002292d5c223e3

Observation 24688cd6-23ef-4a63-bb42-7a1f39013ede · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

DoRA: Weight-Decomposed Low-Rank Adaptation Towards a unified view of parameter-efficient transfer learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.758063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:d408e64e6acc3374d69219b3d090066ffc9fd03186b33bc6642dda541bd24035

Observation a9e42cb6-e140-4e74-9353-1ec5f6692467 · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.764595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:ffcce2aecef0cfe25bbe1b8e91da1273068a3031ec0ac8aa53b642e0ca43d79d

Observation 8e8e015e-4b3f-4899-8a93-7da7e1ba087b · outbound

This paper cites Parameter-efficient transfer learning for nlp.

DoRA: Weight-Decomposed Low-Rank Adaptation Parameter-efficient transfer learning for nlp

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.769451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:34bb8fdf7e175eb60eeda6bbfa06a401f9aec42f7c1f5cb4d2c17f077bc0b53d

Observation 22af5a78-dbe9-4f24-b179-40b302bddfb7 · outbound

This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

DoRA: Weight-Decomposed Low-Rank Adaptation J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.774579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:d9cba862c199fdb27e06a2a347f11dda4fb982f55c4055f3a740c00d3201a51a

Observation 16274ad1-8a23-4a59-ad61-a0ad7de33090 · outbound

This paper cites LLM -adapters: An adapter family for parameter-efficient fine-tuning of large language models.

DoRA: Weight-Decomposed Low-Rank Adaptation LLM -adapters: An adapter family for parameter-efficient fine-tuning of large language models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.779656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:76e741f6389607dc4ede1dc9c723164178c91a023ab47810c55db243fe6141ad

Observation 6428b85e-1722-434e-b442-d886fabdb9cc · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.783883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:a0a5254c1f5b2ae574f4f470f08645f9e7e7b6849bee35d7aa10b26c9f91ea18

Observation 3798ac25-799e-4429-91aa-0f6c0a09200a · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation Fedpara: Low-rank hadamard product for communication-efficient federated learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.788231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c3777a4757b309f8b729f1e4fc09b4d0d4632097586141a81b4ac9f3a2421cfd

Observation 977fa6d0-fa5d-4c75-9aae-5bf2d25d5e31 · outbound

This paper cites Parameter-efficient multi-task fine-tuning for transformers via shared hypernetworks.

DoRA: Weight-Decomposed Low-Rank Adaptation Parameter-efficient multi-task fine-tuning for transformers via shared hypernetworks

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.793472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:43a95c992859b9247c23adcadd28ebd25e9402c88fb9149c11b52096bb3b6663

Observation 9fb6c16b-c024-4762-a5e0-bed3824c7b7d · outbound

This paper cites R efer I t G ame: Referring to objects in photographs of natural scenes.

DoRA: Weight-Decomposed Low-Rank Adaptation R efer I t G ame: Referring to objects in photographs of natural scenes

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.797951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:f407ffbca8037c0750b0467cb0de70ff1141066374b67f2ec94499b595d41a44

Observation c036d9cd-c5f8-458e-affa-966f1df10c25 · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.801633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:d086f1d5474af835be35decb85a3e48732c581402bcdbc45228471abf0b2dc04

Observation d19dff47-88f7-4499-b73d-384d9c5ec94b · outbound

This paper cites J., Blankevoort, T., and Asano, Y.

DoRA: Weight-Decomposed Low-Rank Adaptation J., Blankevoort, T., and Asano, Y

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.805224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:b651d81ca87d93963fb09ef9a90cba35b75eee346022ad485242197ff193c5bb

Observation f109493b-ff72-4fef-a381-0227f0bc2bac · outbound

This paper cites A., et al.

DoRA: Weight-Decomposed Low-Rank Adaptation A., et al

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.809595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:3a580529c047699cfdaf8e3a36f8179429140884be2137b550d22db09a69b21d

Observation 73bce7a6-a024-42b0-aa83-b239f358ef8d · outbound

This paper cites TVQA : Localized, compositional video question answering.

DoRA: Weight-Decomposed Low-Rank Adaptation TVQA : Localized, compositional video question answering

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.813554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:9d6dc941c1ebb8b97aa51c68c6433b391162d3aa7c2e04ef02950cf53b614688

Observation e7113ce6-b863-41e7-9469-f27c016dd47c · outbound

This paper cites L., and Bansal, M.

DoRA: Weight-Decomposed Low-Rank Adaptation L., and Bansal, M

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.817638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:234d34fa5e68eefaabb42b085ea1bbe2d49ee8c80e6bb582e70195522e74a8a2

Observation 4bc66d9d-43a9-4f57-a2cc-b02d24da39bc · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

DoRA: Weight-Decomposed Low-Rank Adaptation The power of scale for parameter-efficient prompt tuning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.822247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:a5fcc38e28b51daada9e873bfe4496ab68021e9d6f56ad684929ca186c0586e5

Observation 5cd774bd-1f2a-4abf-9f87-a53fbcf2e974 · outbound

This paper cites BART : Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

DoRA: Weight-Decomposed Low-Rank Adaptation BART : Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.826770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:b89585cb8c4d1625a0f84845b9ef58d71ae40fe83dd468f7723e87aa49a04fe6

Observation 7847d6b0-44bc-4005-8868-23517e95d2b3 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

DoRA: Weight-Decomposed Low-Rank Adaptation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.829163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:0787c1f05264a4076199428b878d1996aadf45ba15ee82f8a5205201d129b8b0

Observation aa710a1a-8773-459f-bc99-7ea5eef26ffd · outbound

This paper cites HERO : Hierarchical encoder for V ideo+ L anguage omni-representation pre-training.

DoRA: Weight-Decomposed Low-Rank Adaptation HERO : Hierarchical encoder for V ideo+ L anguage omni-representation pre-training

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.832191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:9f38ccff8b527dad314dee9ec2e54353f0ce6bb6ef2de0fc6f4ef378489dfa74

Observation 4e191471-ebe0-4cb0-9a8e-f0334dd14730 · outbound

This paper cites E., Wang, W.

DoRA: Weight-Decomposed Low-Rank Adaptation E., Wang, W

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.835671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:6b65c6397ee234be6c8a9220097194bb5a75290a9e16cfb82808f53ca1c61c24

Observation c8bc19aa-a2f8-4725-a9a2-a3753aa4018f · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.839215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c323beed79b19998d8532c677e7d1699bc4ef04826ef62da498448d13ce8bb3b

Observation 0a5f44d6-0d3b-4f55-a780-366d81429991 · outbound

This paper cites Evaluating object hallucination in large vision-language models.

DoRA: Weight-Decomposed Low-Rank Adaptation Evaluating object hallucination in large vision-language models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.843074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:32bb4a60e10c0d994c9d1f866621ada2c1505ad4272ff96e89c7648d465cabfe

Observation 28470d90-9fd2-444d-9c7b-afed5068d9f1 · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.847358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:498d6d7fe3294da24463269dfd08a31dd5c45f4ce69d8f97304be6b72fee7b82

Observation 652f8951-9e9f-4275-8feb-75f9c8a76bd6 · outbound

This paper cites Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.

DoRA: Weight-Decomposed Low-Rank Adaptation Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.572187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:5fe8837ef0f3efd36ef979b2f7d86c8f1d32da0fe251dfbd7cd03c0e38082281

Observation 33229ec7-67e9-409f-9132-f3295275284a · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

DoRA: Weight-Decomposed Low-Rank Adaptation MMBench: Is Your Multi-modal Model an All-around Player?

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:26:21.585191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:3f8915870d100e573e5e7a7034fac5f6651afdcf58565b216655db67d908fd17

Observation 33308521-1210-4bd6-a647-c05c56033a40 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

DoRA: Weight-Decomposed Low-Rank Adaptation Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.851957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:e4c7d2df2c14144569f96ffe80f8dc6c2c527b817b7556b25fdf2d85facc7e2a

Observation 95be3b80-6ddd-44ed-a5b3-ad13d290fe36 · outbound

This paper cites K., Henderson, J., and Ruder, S.

DoRA: Weight-Decomposed Low-Rank Adaptation K., Henderson, J., and Ruder, S

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.855882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:b3ccc09f7073c693af03bc944f2b7a8bcb4864231247bc1c0c108d558433319d

Observation 0b24f935-88cc-411c-8680-db1940b2d690 · outbound

This paper cites L., and Murphy, K.

DoRA: Weight-Decomposed Low-Rank Adaptation L., and Murphy, K

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.859777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:c8ecff47affa0c8cbfee372db699ed2202a6f303577ac2218021dd5c1a046aad

Observation 6980dc47-b4fd-43a0-99cb-ea27f0a5d840 · outbound

This paper cites Ok-vqa: A visual question answering benchmark requiring external knowledge.

DoRA: Weight-Decomposed Low-Rank Adaptation Ok-vqa: A visual question answering benchmark requiring external knowledge

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.863931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:46aeea20e44bd2bc2e0d6d2a959038f5818ead47f34dd90ad9247098bc1a0555

Observation 41863958-0f25-479f-b5ea-c3a7ad4b9f5b · outbound

This paper cites K., and Chakraborty, A.

DoRA: Weight-Decomposed Low-Rank Adaptation K., and Chakraborty, A

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.867746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:f94a01c7b7c3b8116a3922a0f562884c45a043f631a3ef6b5565de7cef2d0182

Observation bfb5f3a4-7522-4db9-9af6-3cf062bc1e94 · outbound

This paper cites Orca-math: Unlocking the potential of slms in grade school math.

DoRA: Weight-Decomposed Low-Rank Adaptation Orca-math: Unlocking the potential of slms in grade school math

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.872028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:73de427bd925d17a9e9926e5ea28e840de9c8d4bdb3156e3dfe6d70617dbe6f4

Observation 5e427951-b3d7-4d85-84cf-d058569d4b9f · outbound

This paper cites Welcome to the openai platform.

DoRA: Weight-Decomposed Low-Rank Adaptation Welcome to the openai platform

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.876532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:fde81e059e20d263943ad63adf20293ce7750a89608c46a1b887a07a40fbe290

Observation 4dc9fa59-5214-4d88-8c73-4a2e1d9c88b0 · outbound

This paper cites Instruction Tuning with GPT-4.

DoRA: Weight-Decomposed Low-Rank Adaptation Instruction Tuning with GPT-4

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:26:21.523774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:89e7476bb4058e77b5d5ea4a78a43c7338cdf0d3b92bf4c03ff87616ecd56188

Observation 83b082cd-5c8c-43bc-805d-f44a12f18054 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

DoRA: Weight-Decomposed Low-Rank Adaptation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-05-15T22:26:21.537673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:705ec85c682f348df629ea643c11c587ebba236f9884a1d1fb732ef9f4f999c1

Observation 90a6167d-61cd-4ad5-b46a-c7e7710130b0 · outbound

This paper cites Combining Modular Skills in Multitask Learning.

DoRA: Weight-Decomposed Low-Rank Adaptation Combining Modular Skills in Multitask Learning

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.558780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:77fb2ec9048a31aa6e6c2db417bb2f38f76cd630f9d5b35d62a733aeefd0c10f

Observation 37ff3420-d889-4fc0-84ab-60433a1e024e · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.880340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:86df7fe7ef17689f5dd54a52b2bbee571c57bb884b8bd22849ddca7a2a8487a7

Observation 9b3524d9-5e11-4c4d-a554-b63bd0f50912 · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation Controlling text-to-image diffusion by orthogonal finetuning

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.884613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:79bc17f87e4b300040d1a42a49166251edc645559f7e7d44dc36e36931325e16

Observation 05126bde-6277-41d5-b889-864b049356d7 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

DoRA: Weight-Decomposed Low-Rank Adaptation W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.888601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:553d979de275bd3a34d8a38d10ea002d546e972ebc5bcf2beeda7e284793aa82

Observation 152c3db7-5e54-408d-a9b7-549512022bd2 · outbound

This paper cites Residual prompt tuning: improving prompt tuning with residual reparameterization.

DoRA: Weight-Decomposed Low-Rank Adaptation Residual prompt tuning: improving prompt tuning with residual reparameterization

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.893406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:7d8af94d80b5b140ecd80e001b8e77136309874cbc5c1013580aadd646a364cd

Observation 7b907f9f-60fa-4b6b-afa3-53b01457f65a · outbound

This paper cites Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying.

DoRA: Weight-Decomposed Low-Rank Adaptation Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.530900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:3ee66707a8d84cef1217112738f13f86c0fdf33c28a8ad7f92570c2d32af17c1

Observation d6949cdd-a20d-4e8c-958e-6c29431778f9 · outbound

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

DoRA: Weight-Decomposed Low-Rank Adaptation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.897711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:e4caa09ff2289799da403e42d1116443d0679b70bff04bfda1b0c06498f4a1a0

Observation f56cd795-55fa-45db-83ab-ebd88954624d · outbound

This paper cites and Kingma, D.

DoRA: Weight-Decomposed Low-Rank Adaptation and Kingma, D

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.901184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:8e48159c99652990b9e392bcac449611c686f52bd0d055940cdc5d8f1ca5b0f7

Observation 88dcf231-bf09-4cda-ad30-397eedaff4aa · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowledge.

DoRA: Weight-Decomposed Low-Rank Adaptation A-okvqa: A benchmark for visual question answering using world knowledge

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.904728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:fd96c0551c98f838b4428b87251282b64068e1b4d6bb846645a2d39780962a3e

Observation 627a0fff-b0da-4e28-8656-3d2a8a9f1554 · outbound

This paper cites Textcaps: a dataset for image captioning with reading comprehension.

DoRA: Weight-Decomposed Low-Rank Adaptation Textcaps: a dataset for image captioning with reading comprehension

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.908333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:12068037fc69014223bb01e963e40e6de0a4781af82b28462f63f459f5c5ed5d

Observation 65956bd1-5e56-44f8-a43e-2e0dd66e6e43 · outbound

This paper cites Towards vqa models that can read.

DoRA: Weight-Decomposed Low-Rank Adaptation Towards vqa models that can read

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.912051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:0da83638762eaddfaaae01413d9ab2ebd57ccdaaa5f43661fe0d52eacdbb0430

Observation 20b30d98-48f3-4260-a55a-90665efcc73a · outbound

This paper cites A corpus for reasoning about natural language grounded in photographs.

DoRA: Weight-Decomposed Low-Rank Adaptation A corpus for reasoning about natural language grounded in photographs

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.915586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:5175de7a8418756c6d9f1f98e83b03437890a3ee91b8c52c9b41c6ffa6541a11

Observation 5973999d-7ae1-4415-b1c6-8bbe682909ef · outbound

This paper cites Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks.

DoRA: Weight-Decomposed Low-Rank Adaptation Vl-adapter: Parameter-efficient transfer learning for vision-and-language tasks

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T22:26:21.919189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:34cb1fca31789ce9a8968613e4ddbdbbd289ef4328c6ee5a213dc348f1f8ac2d

Observation 25edb755-1ba1-45ad-bd48-c76c3372e072 · outbound

This paper cites an unresolved cited work.

DoRA: Weight-Decomposed Low-Rank Adaptation Unresolved cited work

Reference 111

Resolution
unresolved
raw_fallback, observed 2026-05-15T22:26:21.922394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T22:26:21.449135Z digest=sha256:8e5cb5a7590c7c405c468e71c0329d83236860dd7e3e785a0a7236203dc606bc

Pith citing papers

Observation 26252b57-ca20-4cba-a70f-2084882cfe17 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:a7db343c73fc3a04854e92f152beca038224f688b81a45db38d9b8c7b5ebfb15

Observation 8c789cd7-5671-40b8-99b0-3219e2da6815 · inbound

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-23T19:35:47.100681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T19:35:29.917096Z digest=sha256:bbba86a0672875e32080160e085538e4eb2b90fc4396e73f7ef609dc3b5c0da6

Observation 929628fd-5a54-4525-98d5-d9bbba1e425a · inbound

Test-Time Alignment via Hypothesis Reweighting cites this paper.

Test-Time Alignment via Hypothesis Reweighting DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-23T06:57:40.481356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T06:55:54.051821Z digest=sha256:1fd31a3915810398214ce9e327cca96c770e83be24f86073089afbca17688537

Observation 0e132e12-b2af-46ae-b1c9-128ab6036a08 · inbound

Small Language Models are the Future of Agentic AI cites this paper.

Small Language Models are the Future of Agentic AI DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:55:50.983125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T11:55:50.897500Z digest=sha256:724b37e139ee36af7aecfee0e6e9f8616191158e71aecbbe671a8e6f27709cc4

Observation d57fe086-d88e-4ff8-b8ca-082cc03d6226 · inbound

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 151

Resolution
verified exact
local_arxiv, observed 2026-05-19T04:42:04.907442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T04:37:33.928616Z digest=sha256:fd71ac28fe2ac9170730e24122e90f9616d40572fcb1a897ba5da54712fceae1

Observation 4c573089-ed0b-44d7-91d4-ef0c5754705f · inbound

The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge cites this paper.

The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T17:11:16.262056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:11:16.262056Z digest=sha256:4dbfd56f37b8caab7328dc8c5dccaf501205a008a056bf42d894ba5f6cb28c6d

Observation 011a7fe2-a476-46fc-925a-8972070564f4 · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T13:46:25.980488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T13:44:09.263459Z digest=sha256:cd64a488c15bfcea0c9c9ca5f98cdd6307eb252d3bb59cc9347c99f17773cfb7

Observation 825a5720-0c9d-4391-86b1-ab954f2d9a57 · inbound

Exploring the Rashomon Set for Concept-Based Models cites this paper.

Exploring the Rashomon Set for Concept-Based Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T20:33:50.465223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:33:50.465223Z digest=sha256:ecd8f81e0b254f6b611fbe2e8087d9b48c2e5369f8ac8c81ec16d40e69dc89cc

Observation 8907cd61-ebed-479d-9b4f-9f45cd1b84ef · inbound

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation cites this paper.

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:28:44.522544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T00:28:42.135176Z digest=sha256:e187e65f8e3610b3505212c999cadf351310c5b9784eb1b2db7abd6b65523aa7

Observation b50acfb4-faf9-482d-b512-a90c432d1e82 · inbound

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models cites this paper.

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T11:47:18.985173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:47:18.985173Z digest=sha256:9fc3f40b42adc4e3a93244929acbe781a02fd0028fa91bfd4a0e91bc42675b25

Observation edb428b3-6f7f-48f0-9b65-8da1b8c35cf6 · inbound

Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation cites this paper.

Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T06:04:27.143239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:04:27.143239Z digest=sha256:e8c530f98237395711398a36c85e2fcd5db942bd5a3fe63873c1fe4a9cbfcbc4

Observation ca3dee2f-ea98-4697-b24c-e2cc7392bf62 · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T20:14:04.064395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:04.064395Z digest=sha256:02f564e229c7294e9df08b7d73aa507a1b1c2a5220c8439a2a49217fc6c44797

Observation acff07e9-c0f4-47f6-8178-b552d21a20f6 · inbound

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters cites this paper.

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:01:38.549171Z digest=sha256:4e73b8ead7dbf8648bba9d70888513918c76e86e661a5e834efd776d763b11a5

Observation 89cc272f-a80f-4952-98ad-88c9764cdcbc · inbound

GAIN: Multiplicative Modulation for Domain Adaptation cites this paper.

GAIN: Multiplicative Modulation for Domain Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T20:29:15.163234Z digest=sha256:5842451a6515572b706f3e1ffa4a199a3363cedef8a4306dab20289e9bb52db7

Observation 8ba8dada-a733-4559-8345-e72af9ae240b · inbound

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems cites this paper.

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:51:18.466788Z digest=sha256:6d70c7e7dbb32c0b03132d07b0a57ad002a29675efa525fa7dfcaa0f3b00fed3

Observation e5c28a3c-ecb6-4d87-9171-b467586fffe0 · inbound

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache cites this paper.

ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:16:49.292491Z digest=sha256:b509eb294a3efdbee65e80c9200158f093eff13d2d6155e2c016fc9daea1d0f4

Observation 61c01a40-d29a-4e39-a9ba-f72cc79ca65e · inbound

STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training cites this paper.

STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:49:40.758234Z digest=sha256:2880dab26a4fdfb8886785b4b10dccec5362362ce91bd137813bf6128b8d9286

Observation 0aa67162-0943-4151-a4a3-0d7d7dc77f50 · inbound

Sensitivity-Positional Co-Localization in GQA Transformers cites this paper.

Sensitivity-Positional Co-Localization in GQA Transformers DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:15:58.196935Z digest=sha256:cf4cc2441f18a638a5b71138d9cb713585c79fe081eb0890f59bf960ad99d43f

Observation be30efcd-9dfc-40f3-9d9a-e58bda98fb1c · inbound

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models cites this paper.

TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T14:18:22.017187Z digest=sha256:beaff0294f2267d75762218c2df276813ba762fa2ddda5cbd8a1ba7d2b5ba063

Observation 2524c598-ce25-47ad-82c7-e45fde334abf · inbound

GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models cites this paper.

GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:39:15.820777Z digest=sha256:6349a3bfc87bcf2537415b7f50a9f33732c9da672e0528328992387e92e0aeeb

Observation 95121e78-b92f-4ef1-9ef1-94659c0d557d · inbound

GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models cites this paper.

GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T20:25:41.773345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:25:41.773345Z digest=sha256:346b5c8d4fe597f916e1fad859133b095c572cfdbc8759f04ee4753ddbd749ec

Observation b9ae80b0-40f8-4b6b-86b5-3a21297e416e · inbound

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures cites this paper.

Aletheia: Gradient-Guided Layer Selection for Efficient LoRA Fine-Tuning Across Architectures DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T18:35:23.814733Z digest=sha256:fc186156552e934c38bada4a4a67b0a13ad53fbcb83c00fedb2309fce640e262

Observation 28b53c94-7974-4a96-a01b-ec1bc1c910b7 · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T01:14:16.831333Z digest=sha256:3bf0d0d51c44e956712922c12242991237fc46d667acabd157ac9159876eb4ac

Observation 014f3d69-2f44-49af-929c-25bef1641220 · inbound

Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression cites this paper.

Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T22:49:19.948502Z digest=sha256:97b771f354176c5d23eb5e1273255c732de63b85b2d5f912669c994729727e2e

Observation 66bf6823-b568-4ae9-b9d6-142f65e50559 · inbound

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning cites this paper.

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T12:03:58.279499Z digest=sha256:e6c6cb1ac53946e4d280b8df3324a36d8671d44197ca5008d044d5ebb975646e

Observation 6ac4ad44-424b-48ca-9a8f-a43798633355 · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T06:39:00.768904Z digest=sha256:2e8af630e15ac21bc1599129f45bc228044699414ff2011f14aa5a176ca78b82

Observation a10b4d38-e4db-4b60-bf01-f8470373bd15 · inbound

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation cites this paper.

The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T03:21:58.428036Z digest=sha256:14937724335e6e94b75b37f8a94e3967e8a65471593b0b54baf6a4f574474729

Observation 2c4abf89-0acd-4b03-b4b7-eccd1733680c · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T11:05:54.779407Z digest=sha256:6b78007e51e726a11c93c36690046a337a3b0a6db36a6cfae90f61e5c7a0d152

Observation 53907a31-a914-49fb-bc4e-75ed8566994f · inbound

Deep Reprogramming Distillation for Medical Foundation Models cites this paper.

Deep Reprogramming Distillation for Medical Foundation Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T18:30:36.882621Z digest=sha256:4b89e87d22b4629ce06c8bb9478730a6574643cbfff1949cdf2cfbe3768e2fd3

Observation 5d9ea69e-17b1-4542-9f48-184978aa52a8 · inbound

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration cites this paper.

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T13:57:43.140353Z digest=sha256:67f11cfb4a3193c4279881ddbb869e01a688298d47ca9e077d4d2e3b525808b4

Observation 599d054a-5d08-48eb-8c6a-f44b7e219f49 · inbound

LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language cites this paper.

LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:26:21.985634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T02:05:34.336556Z digest=sha256:1ba13a600be35caabb4eb1df8ed38f081a50818d1756870a2eb223b5bcf8c0cb

Observation 3ce33372-5ad8-4001-8ea1-41538dcd8f8c · inbound

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation cites this paper.

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:13:15.249528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:21e5d3a8f7fd31fe56fa77a22cf2332e41cff95c4e3cf9f644c6dd5152ecb5aa

Observation ce2b72c2-90ce-4db3-9a9b-0ad45a518c8e · inbound

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting cites this paper.

Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:14.068933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T07:36:24.624420Z digest=sha256:da9f089b9c93c2c44b70ba9ec704f2a76a3f8b3ce474a5cb0a0bcec112f0f4fe

Observation 035cabd5-84b4-4658-969d-9846d0736759 · inbound

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models cites this paper.

TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-02T16:57:09.486296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:18:34.218251Z digest=sha256:6b256820f27925292b9b438ecdd47278bf20c94625dfc8fef13b835fb572ce3b

Observation 8eca9269-31bb-43cb-b95b-21f2b79b20fb · inbound

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning cites this paper.

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T16:07:09.171840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:56:35.023986Z digest=sha256:cba6c956e19e9f526a71cf6af5fb8999331d62017e7f4cc207dc879e41515e2a

Observation 46fff3ba-c4d2-446f-a11f-652964050aef · inbound

Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development cites this paper.

Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T19:57:20.268787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T21:06:45.886467Z digest=sha256:97cb9a97929accc8c6119784cfe124b25a068c3af3843bcf9fb6ba8ae5519502

Observation 6c700aba-3edd-4563-84f9-07010c661db4 · inbound

When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs cites this paper.

When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:19:56.327932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T00:49:34.365193Z digest=sha256:4a8afc8678ab942c3a8cc945c1a2d99f3e2b3e8105ea86f72a41672c95af0740

Observation 6a1b88f9-620e-402b-afd9-d3ce91f290a7 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-07-04T11:09:46.352571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T08:09:57.542558Z digest=sha256:998bbdd22af78d0ac96382a8085e9a538ce7a5db0d7fe5fc2fd84437f40b849e

Observation a71002bb-f29a-406b-8549-8172c0892abc · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-02T10:27:17.631045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:17.631045Z digest=sha256:b224a558b37c21db197eda13e90d3c022a65ed2fc5d36a92e0706d63bc73a037

Observation 98509554-73c7-477c-ad8f-68e148f5cc01 · inbound

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs cites this paper.

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-06-30T07:44:21.884270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T07:40:21.132616Z digest=sha256:96e6017e62a1f8d1e95adee13d837556b13aa5120c9c3dd5f91121f7dc898148

Observation 6978a41f-641e-419d-a5e0-962bc9c3e1bb · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:05:40.973322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T05:53:55.141657Z digest=sha256:931a4535bf73c99f52e57838007e18794fd9c335bb3c870746b664da0521bb16

Observation 72b864db-ece6-438a-b91c-b5c85d06e3e4 · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-02T19:57:19.000252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T19:53:25.252752Z digest=sha256:16e23f0071af1bfdca82774b56771a906342ce6f38870ed6ddd5b38b2f4cbe65

Observation 691b3072-9fa3-42cf-a4e4-08005d12ff76 · inbound

Spectral Rewiring for Exploration, Purification, and Model Merging cites this paper.

Spectral Rewiring for Exploration, Purification, and Model Merging DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-12T05:08:55.438431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:08:55.438431Z digest=sha256:7c9644dd7384799932219d7eb78f666a772739c495369f0781f802061bb14ffa

Observation e7909c6d-dd7a-41d0-97db-a91c053e31a7 · inbound

Dive Into the Implicit Biases of Low-rank Vision-language Alignment cites this paper.

Dive Into the Implicit Biases of Low-rank Vision-language Alignment DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T11:37:03.197642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T11:34:56.843122Z digest=sha256:b2722de609d7f0f74ce8ff186581f1cbb7b701e86ec0b3348861c5116637fb0c

Observation 78d3410a-7aee-47f2-9a1c-686e36e9731f · inbound

Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning cites this paper.

Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T04:08:39.594367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:08:39.594367Z digest=sha256:a8d551eadf17778e0d4bd66da81f55396eff49249445f8f954a914f03104fd0f

Observation 091549bc-42a2-4063-8830-401ac5d83528 · inbound

Democratizing AI with Small Language Models: Structured Benchmarking and Parameter-Efficient Fine-Tuning for Local Deployment cites this paper.

Democratizing AI with Small Language Models: Structured Benchmarking and Parameter-Efficient Fine-Tuning for Local Deployment DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T14:55:34.725156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:55:34.725156Z digest=sha256:d86736b539aa9aeabc8d2d700bd095de9420f2f797c628a681e1dcd549fe4915

Observation 8d5148f9-d5a7-450d-ac31-4ed829ea2ced · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 239

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.826612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.826612Z digest=sha256:374360f416a39d9b77781003914cb432b8615e57cd2e85beb354ac7ff5af8829

Observation 63da7dd8-5d55-425f-957b-35203a4b9a6d · inbound

Chebyshev Manifold Adaptation cites this paper.

Chebyshev Manifold Adaptation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T18:15:53.135043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T18:15:53.135043Z digest=sha256:699419b091312cdccc3296dab8428c3262d659eb1c3ba418a0774e2665d238a0

Observation d78f6e59-25d9-401c-8aae-306deb5d51e6 · inbound

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating cites this paper.

\k{appa}-LoRA: Condition Numbers Reveal Which LoRA Matrices Worth Updating DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T04:37:44.379568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:37:44.379568Z digest=sha256:7563eb5060f477a3e808b8d45fdb4a52d022dce8f6ff5d7369a4d47d429b98b9