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Paper Citation Record · LEDGER

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2603.00573.

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

pith.paper-citation-record.v1
2603.00573 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:55:06.879029Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:34:44.701020Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8782ea1-332b-47aa-8de3-aa6098c93a2c · outbound

This paper cites GPT-4 Technical Report.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging GPT-4 Technical Report

Reference 1

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source=arxiv_source observed=2026-08-02T19:55:05.057370Z digest=sha256:6b257878f27b4eca7f6a47d38921b27d998ab6f3729a9bdc5d3b2e438ba601a8

Observation 7bf38c50-94e9-4d2b-b82e-e35a99173249 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-02T19:55:05.126176Z digest=sha256:18ee77a8dafc87ccfd094a46a113d1ef07b5ca37a86d302d302a2c36eb0e0436

Observation b3cc79c8-cb55-4be8-960f-94e5e716ee83 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-02T19:55:05.252879Z digest=sha256:9bbe5b9bad93df330b6882a3146d283797a9db54abc2ef1b6f988546ccf77813

Observation 6b87383e-53a7-4429-8631-61d1c0fbcfbf · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-02T19:55:05.339226Z digest=sha256:ec1fc376632ac8a21ba69392c42f014a03c5333a685ceb107f4aae06bf0b4961

Observation ee94f908-14cb-4360-89ed-548310417cd6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Evaluating Large Language Models Trained on Code

Reference 5

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source=arxiv_source observed=2026-08-02T19:55:05.465009Z digest=sha256:dff8b38490e8a6054aadb8366f8a215b109890fb69224b5c9f71397778867733

Observation a039aaa7-28ba-4fc0-b787-a7c4fcacd68b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Training Verifiers to Solve Math Word Problems

Reference 6

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source=arxiv_source observed=2026-08-02T19:55:05.589430Z digest=sha256:ee0cc48b1f803aff9d09445f48b7a2eeab70521aa5714d4de37a5c4d1efef9b5

Observation 076e1bad-6acf-4b81-b1b4-dfcde557d036 · outbound

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

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 7

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source=arxiv_source observed=2026-08-02T19:55:05.641686Z digest=sha256:b861d6a7fc1f3bebd3f85ed4cd26c4d0b0ab43a19b77f57e763066a35d26091f

Observation e80d4de0-900f-4227-ab29-feaffb7d9317 · outbound

This paper cites Higher Layers Need More LoRA Experts.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Higher Layers Need More LoRA Experts

Reference 8

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source=arxiv_source observed=2026-08-02T19:55:05.756275Z digest=sha256:8f6c5bb57e51729b9dd273d41aa35cb90585c828f02df831c5bcac71e9e7c7cc

Observation a07b45e3-cf80-4df8-8d8c-4ab98b08481c · outbound

This paper cites The Llama 3 Herd of Models.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging The Llama 3 Herd of Models

Reference 9

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source=arxiv_source observed=2026-08-02T19:55:05.909319Z digest=sha256:88396dac017fda405166892ad1140c34e157ee6998983fa6c7a7c7b618fb3e98

Observation 573a5c76-58f1-4e07-9a12-8afd6c39dfa0 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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source=arxiv_source observed=2026-08-02T19:55:06.061113Z digest=sha256:d23af3d0f2515d6fa5e5181758efafd3f36f8445583bf46beb4b76460592a2f8

Observation 85b0516e-689b-4ecf-a092-a4e049119794 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-02T19:55:06.223400Z digest=sha256:2dd34d5fecaead99357e9dbd460930eb25bf81b285beadf52de25d7491c27a45

Observation b5f8774e-ce2a-4dd5-aebf-4114f64a9ffb · outbound

This paper cites Houlsby, A.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Houlsby, A

Reference 12

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source=arxiv_source observed=2026-08-02T19:55:06.273129Z digest=sha256:042638ea361f4e3da2d4ef6bdc9e24d7081c58552a703ef9722f2bb3cfd2a41f

Observation 05cd9b6a-cda7-40f5-a29b-72e179dc926d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-02T19:55:06.382328Z digest=sha256:2bf4658bfeb18f8d410c59496deffb4b1fe611b09b0558c9bb6182cee7f9a3f4

Observation 577a8ba4-93a2-48c8-af13-b2f477d4e26a · outbound

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

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 14

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source=arxiv_source observed=2026-08-02T19:55:06.534821Z digest=sha256:dd413d561fac0afbd01cec9245e9b2aa79595df52e6d2fa7abb88beec3f6e824

Observation b644789c-a261-4000-a2e6-64a74d53ab94 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-02T19:55:06.560268Z digest=sha256:111e72daec4bcf7a2061727154ed23603f95a9f3fedaea2f04849dbf068d6429

Observation 777d3904-db0d-4a03-a8f8-d4ca1b0e0bb9 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-02T19:55:06.627321Z digest=sha256:dd5730d306be25ffac0927611921515b470a1ab79ad2c1d31ccaff470d1acbdf

Observation 54ad279b-4694-486b-9cf8-cfe60cfe620a · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-02T19:55:06.662422Z digest=sha256:d2db5502743bfbf9161bdd1c32ce35134e80a1f29c86491cf694f61116a9b8f8

Observation ec339317-7ab7-422d-9b93-165a5a389485 · outbound

This paper cites TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 18

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Observation 67d2d0f2-af7d-411d-bbe1-114093ec684a · outbound

This paper cites Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 19

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source=arxiv_source observed=2026-08-02T19:55:06.755905Z digest=sha256:f521041daf2339ff6bb984a2e8e5575cee6795c24436b05e073868fe644cf2fb

Observation 14851ee0-4189-46f9-885c-715ff9f9a035 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-02T19:55:06.795436Z digest=sha256:71c1aec8e1ecde14c659eb0b0deb0e9d99f44d01b9292e9d24d25e505ed44091

Observation aa14951d-eed7-4c3f-b580-faa416d73f57 · outbound

This paper cites AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts

Reference 21

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Observation d2e80be4-b240-443c-8fe1-3251e5c44b3f · outbound

This paper cites MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 22

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source=arxiv_source observed=2026-08-02T19:55:06.807238Z digest=sha256:d277bd278cb3eb4900ea222784a476a4558e2fc6fe128bf98a1ffee4bf9cebd6

Observation f0fe0136-8039-47e9-aa5f-d897dec7e09e · outbound

This paper cites DenseLoRA: Dense Low-Rank Adaptation of Large Language Models.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging DenseLoRA: Dense Low-Rank Adaptation of Large Language Models

Reference 23

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Observation 0004893e-f39d-48d5-8a1e-593809a6a2e4 · outbound

This paper cites Soft Merging of Experts with Adaptive Routing.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Soft Merging of Experts with Adaptive Routing

Reference 24

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source=arxiv_source observed=2026-08-02T19:55:06.815568Z digest=sha256:0b034883a7bb2f397745346fae1b5a420ed12477bfbe7776b38e695d8350f7c5

Observation 5c8e0a35-a3b0-4a2d-aa86-b9f3aa9c39cc · outbound

This paper cites Accurate and efficient low-rank model merging in core space.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Accurate and efficient low-rank model merging in core space

Reference 25

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source=arxiv_source observed=2026-08-02T19:55:06.819997Z digest=sha256:202d8ae30413dfe50b1849e1ff96dff4aa201f99e164b7e94a6e2a41bd6083fa

Observation 64212d36-aece-4495-87f8-27fee01f3eff · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Are NLP Models really able to Solve Simple Math Word Problems?

Reference 26

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Observation af91ea5d-8326-4ea5-a807-9ec87487b17d · outbound

This paper cites Solving General Arithmetic Word Problems.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Solving General Arithmetic Word Problems

Reference 27

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Observation 2305a981-b27a-4183-8e5b-ba2251c98edd · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 28

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Observation 3fc7a3b5-9cc6-42ff-a02b-f2737f39a2f9 · outbound

This paper cites HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 29

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source=arxiv_source observed=2026-08-02T19:55:06.837098Z digest=sha256:87a8514382d7108a4ec2275738969e155d37180af8cc8cb20b26653acc229663

Observation b6d0244e-5ad2-4417-be5e-33a8b04ba2db · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 30

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f9fa49b9-23b5-4019-a803-4b8a9efe6608 · outbound

This paper cites an unresolved cited work.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Unresolved cited work

Reference 31

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Observation 6f6f95ba-69e1-47e0-bb8b-626c70c2b2a8 · outbound

This paper cites Mixture of LoRA Experts.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Mixture of LoRA Experts

Reference 32

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Observation 49adcdd3-0f6b-4f98-8355-6abb8c184967 · outbound

This paper cites Qwen3 Technical Report.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Qwen3 Technical Report

Reference 33

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Observation b4b74f0d-11a8-41c8-b54a-5c498aa59604 · outbound

This paper cites Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning

Reference 34

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Observation 063e802f-4606-4611-9e9b-492613ab5831 · outbound

This paper cites SiRA: Sparse Mixture of Low Rank Adaptation.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging SiRA: Sparse Mixture of Low Rank Adaptation

Reference 35

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Observation b63a3d0c-ba9a-4dd7-ac75-1ea15380c8cd · outbound

This paper cites Flylora: Boosting task decoupling and parameter efficiency via implicit rank-wise mixture-of-experts.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Flylora: Boosting task decoupling and parameter efficiency via implicit rank-wise mixture-of-experts

Reference 36

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Observation 1b0909cf-d89e-4014-a314-544b5ed40e5e · outbound

This paper cites online" 'onlinestring :=.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging online" 'onlinestring :=

Reference 37

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Observation 358673c6-5e8f-423c-86de-4886757ac12e · outbound

This paper cites write newline.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging write newline

Reference 38

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unresolved
no resolver link, observed 2026-08-02T19:55:06.879029Z

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source=arxiv_source observed=2026-08-02T19:55:06.879029Z digest=sha256:79c155fdc567ab755d55d5e8e74021a9f19e45e06ba8dc99fd89d39d6f312d12

Pith citing papers

Observation fa5f1677-87a1-4547-a270-fcd6a5b4c311 · inbound

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory cites this paper.

Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging

Reference 8

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source=pdf_text observed=2026-07-11T21:34:44.701020Z digest=sha256:634cae0e99618a20be246c1ea7be6897eaa3d3a6158e570b351aaa138da7d69f