Paper Citation Record · LEDGER

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2307.13269.

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

pith.paper-citation-record.v1
2307.13269 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:54:05.429528Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b712967-d477-4fcc-a01b-d7d5c76cbbd6 · inbound

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cites this paper.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:03:17.083782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 289cb62e-db3d-4d26-9c7a-771d383c2802 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T11:32:37.013099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9814c6e9-d4b1-496e-a5b1-b59cf8f1de35 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:07:14.676848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c00e9c35-9d85-44da-9e8b-2f01249c3ce2 · inbound

Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA cites this paper.

Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:54:05.429528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b00fdbd6-519d-42ad-9c4c-d066329759de · inbound

Semantic-guided LoRA Parameters Generation cites this paper.

Semantic-guided LoRA Parameters Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:05.950405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3460a2-315e-4135-b7db-f1f8ca6f0e8e · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:55.781717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db980d0-f40e-4964-be05-0818cbe9f3fb · inbound

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning cites this paper.

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:27:36.476640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ca2ca2b-2cb8-413f-a1ab-bef4a28f1c80 · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:34:07.445943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8dc5272-40e0-4a2c-a115-4cd1e538baf2 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:26:03.912220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 83fd2a8d-6413-4ed2-814b-4736b7368b4b · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:11:09.985837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c5da74b-3c5b-4c47-9b79-805fc00a51f3 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:21:26.842211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d3081a0-d7ac-4752-9824-850483b728e8 · inbound

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework cites this paper.

Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:01:01.186979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 82575656-e725-4fbd-948f-740a9197edd1 · inbound

Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation cites this paper.

Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:37:15.924237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 438803ec-618f-4807-ad0c-39e237afe02b · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:29:48.367727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c3ebcc2-a4d1-4dd7-9ab2-7557b50108c1 · inbound

CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.

CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:49:44.558381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ea84ac0-0d71-4aac-98ad-272b106c8419 · inbound

CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing cites this paper.

CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:15:04.213610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8d9bf74-67e9-4768-ae99-b5374be9b251 · inbound

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.330507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e31b7214-9d1a-47ce-a17a-81103f1432bd · inbound

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.

PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:42:48.077383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c36e1f09-e3b9-43a8-a4f5-74b933c44718 · inbound

Interference-Aware Multi-Task Unlearning cites this paper.

Interference-Aware Multi-Task Unlearning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.050579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b0266d1-8286-4e6b-beca-ceb984155718 · 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 LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:43:14.087091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c2e5115-40e9-4f11-927e-ef3ed8753c0c · inbound

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models cites this paper.

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:33:30.981000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d1b9797-41a7-4de9-a99e-fef8a56dae07 · inbound

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs cites this paper.

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:46:18.652144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 985d7a21-0e7e-4eec-85c3-52bab4ec8c2a · inbound

Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter cites this paper.

Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:56:27.671576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e09cbf6c-750e-4b28-8e5a-dab20b374c2e · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:26:26.720149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ca25be4-2451-41d4-8aac-d37606628cfe · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e54ee7-178a-4d15-9602-cbbe59d9e1e3 · inbound

GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech cites this paper.

GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:27:04.861463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f84f579-7350-4564-858e-16c9d3a4d657 · inbound

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution cites this paper.

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:07:04.824829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93955428-8773-4afb-bb04-60b0b84b4cd6 · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:27:57.082610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a1334558-a918-4255-9270-f7de6d87a922 · inbound

ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection cites this paper.

ARIADNE: Agnostic Routing for Inference-time Adapter DyNamic sElection LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:19.539395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c2ca41f-2337-4fa7-b2a9-085b964e850e · inbound

User as Engram: Internalizing Per-User Memory as Local Parametric Edits cites this paper.

User as Engram: Internalizing Per-User Memory as Local Parametric Edits LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.461320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 605d9910-bb74-45ca-81a6-babd010b07b8 · inbound

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates cites this paper.

Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:49:17.725222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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

Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing cites this paper.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T08:38:02.220727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cd21cc-3fd4-4e93-9677-6b9770e698a4 · inbound

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration cites this paper.

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T07:52:08.823198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d464988d-6bee-4703-9dbb-4d22ff0b7982 · inbound

Rethinking Transfer in Continual Learning: A Replay-Based Realisation cites this paper.

Rethinking Transfer in Continual Learning: A Replay-Based Realisation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:57:59.837823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3994e5-5d43-42dd-9295-dc031b4b8888 · inbound

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach cites this paper.

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:43:39.527353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c13b5b3-212d-4086-ab96-f12f1ba5829c · inbound

SkillSmith: Learning to Compose Parametric Skills and Textual Knowledge cites this paper.

SkillSmith: Learning to Compose Parametric Skills and Textual Knowledge LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:52:15.838281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.