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Paper Citation Record · LEDGER

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.05114.

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

pith.paper-citation-record.v1
2607.05114 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T08:38:02.220727Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 8ef8c9cc-71f1-4b31-9352-e686844169a2 · outbound

This paper cites Barazandeh, M.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Barazandeh, M

Reference 1

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:2a950fd4dc633c99333f7644d649f959e886d4c8416993f04f2f34ed88bf9de3

Observation c84107f2-fcba-459d-a11b-fd5127052d0f · outbound

This paper cites Barazandeh, S.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Barazandeh, S

Reference 2

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:2cfc725f85fcf0ec6a7a65f35ee241ca1f039f3e7322b42a8d31eba351b158da

Observation b52b6244-af55-4e09-aa41-6efcdcd01e7c · outbound

This paper cites DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation

Reference 3

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:3a182c1ba3d0a1b4909da0c9ea531dc62c5f615af426f4e7984ca4a4bdce62f2

Observation 66fd3cd0-5d5a-442b-b717-6d30b2bda06c · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:b2d7b893b2671e7b79a2c9664fd418f01d6734feec97f068275ba4706cd35505

Observation b2b64597-4e1a-4537-8165-4ffb7bdc0a81 · outbound

This paper cites LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 5

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:94c252f103e672288561e88ae446b74eb3985898f358ff46ae6ce00986ef0d83

Observation 32b8505c-e547-41d4-a855-6c6b2fa4f8fe · outbound

This paper cites General Table Question Answering via Answer-Formula Joint Generation.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing General Table Question Answering via Answer-Formula Joint Generation

Reference 7

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:be5f6a33a54665192f523079e3f2970f7569c3f596516bd796a3a93c3d87d112

Observation e671cf50-66ff-4b2e-aba7-0b86200e6d15 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:312a657517570a18ef28dcbffe2b8fe4c0ba5d6e4a2a5a657e05a34ca545e94e

Observation 7dc4b511-bfca-4488-bb63-0c6a3d3a48f6 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 9

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:fa3c8cbc2bfff0afa07591919de97ed19f7aee72c5b72b3f889a5d29ad191be9

Observation 33836869-1ece-4c18-91d7-2696433ca496 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 10

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:757a93ef53ca80c15b298362fb8f8494c841f4302e84e8d48e0693e2ae487d63

Observation 53ab78f5-c6a1-4e56-948a-7399bf238af5 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:62cf2a3b26227ccd8ca77f90f5e00c2c933d4864cf7103b71f5e05e30314967d

Observation 2f0748de-6783-4063-938f-e52d92386fed · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 12

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:4676adaa744ecb7f5c48e7f747d1aa4f30dca7d60f038a2cc2484ae944dd484c

Observation 8995c3e2-cc30-43d5-a01f-e652d86e0d80 · outbound

This paper cites Lialin, V.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Lialin, V

Reference 13

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:d6020ed424f3515460f03e6797134654d88df99c460cddc06da25c0493a57499

Observation 84e5c9bb-d890-4359-8a30-66cbd295d0ef · outbound

This paper cites VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Reference 14

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:ad3dd4aabe39902fa9b86a97fa26f4ac6b9e27c08991a8c3abe9dc7bc440ad74

Observation 09d59c66-8a73-495c-a3a0-32fa8dcd7e62 · outbound

This paper cites DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution

Reference 15

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:1a51d83c70b750bcca60c00d6e1b52f0ae3e2e6ed295096029ca2afdd6277ca0

Observation aedcafeb-ebee-4318-9431-e8bcb3fd9f75 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:aba30df5d9c63445f04daa514b912465bf381f8b37559dca2d06249102d8526d

Observation f21bb5fa-2bbd-4e48-b6bc-098cf84bd2f9 · outbound

This paper cites Pedregosa, G.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Pedregosa, G

Reference 17

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:72b928f09f95c6dae66be7a8780a4cb3c206abc39977ff0d457c54b6f1756599

Observation cfe0af3f-b8e1-4788-be29-10d12a828943 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 18

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:d7ce611f9e88de1bcdb650f711e2495380bf18bf8429aa0bcc4119821c4c3a63

Observation 02a33d2b-9c79-44b1-8ee7-9d6ca44a410a · outbound

This paper cites LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning

Reference 19

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:f0e9522017529e3a6e0cd4490481d73df93d87d08168acfe18b95ed462bc4d97

Observation 16364baa-ecb8-4c91-9946-be05fc7fd87b · outbound

This paper cites SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values

Reference 21

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:61163ee57a98192af2c00f7cdf82722ca1ce93ddb180cfc393c8b7c812f4161c

Observation 129b0c80-7506-4c23-9e14-e070ad68b0b3 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:126a08249680c953244631e15bc684fc6c28c424d573f961a6bc4680e7e37be2

Observation eb85ee0b-0246-4116-b216-fc7201c6373f · outbound

This paper cites MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Reference 23

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:8f6baeac056bbca7b1d5d4529ff089037cbbc317c6a0bff695357e1798d66f4d

Observation 8cf247dd-36eb-4b59-935b-692c5209dd7a · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 24

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:570743b03dc1e3a57f94ab8944429a0455035703e06652e4351378c52bd04fe5

Observation d8c86806-ee67-45eb-8bcf-1bf556147772 · outbound

This paper cites BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning

Reference 25

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:56f1a736a5367531d2dbcfa875915cf6011726b263e5d6ef0eecd00b78c898f4

Observation 3d545f88-816c-4040-aa0b-e14c4712044f · outbound

This paper cites Zeng and K.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Zeng and K

Reference 26

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:a904e09d3c374d739c2fbe3762c75787030894c0b0200ad722265d521a4d0df9

Observation 849934ac-e255-4401-b341-7b6e3c6a4e51 · outbound

This paper cites Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs

Reference 27

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:00aaa7df2c49942bc3b75264ba5e544f3725c19454002767da37160ecacefd31

Observation b29053a9-a721-4bc1-9e51-3e6818fe7589 · outbound

This paper cites LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning

Reference 28

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:19d905ba73f7cf847d6bd9e621f042768b1a9eb06b2400f16f8bb7d5c608300a

Observation 73cd80f7-741c-46b0-8242-fee9571daca9 · outbound

This paper cites an unresolved cited work.

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Unresolved cited work

Reference 29

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source=pdf_text observed=2026-07-11T08:38:02.220727Z digest=sha256:cb36a60ed96ba5b7f8581ff97eeddcf9eaaa3cb778dfec3f586549e30777eb82

Pith citing papers

No inbound Pith citation observations are available.