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Paper Citation Record · LEDGER

TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.09856.

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

pith.paper-citation-record.v1
2408.09856 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:08:16.241543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:02:43.345609Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 09a481e8-7b19-475a-98b0-11b52454bcaa · inbound

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:02:43.348684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-23T08:00:12.781392Z digest=sha256:5bc8a7a428d7e31cea5e7c5e3cefd5c7a7ef10c77478e110db29a92d7bc13a62

Observation 81c8e36b-0080-431e-872f-96c27ccd15d9 · inbound

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework cites this paper.

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T00:08:16.241543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:08:16.241543Z digest=sha256:b343d14d094bdbc7f92bb9ab717c2eb81981e68ebe967ee7d4e61b8d085fbf50

Observation 009f012f-4e94-43c1-a306-2c3a937133ce · inbound

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning cites this paper.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:51.368304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.368304Z digest=sha256:12df4a680cd338f9b56dc3c4392b919f9e0901f5383c482801ed8318379a8cdc

Observation 15045fda-8411-4c0a-89de-ffb1e55053dc · inbound

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation cites this paper.

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T20:21:30.446440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:21:30.446440Z digest=sha256:6680b4d219010454adb2d940865105300c0aeef946f1f8325acbbfa4b5bc79f8

Observation c8086d1b-aa72-4fa4-b0b8-70aa97fec8c7 · inbound

Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications cites this paper.

Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T13:26:23.494874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:26:23.494874Z digest=sha256:3120f8caed905580c56d35fa800f8331d5f1ef5545bd97f5da068a1c451a6a2f

Observation 7dbdfe63-e11b-4564-a4c7-98c79c038448 · inbound

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs cites this paper.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T05:12:44.220704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:12:44.220704Z digest=sha256:0edcc98c90e899dae547964eed606ca5b49618cfc49db065e5493e66e530fa87

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

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

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

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T19:55:06.718110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:55:06.718110Z digest=sha256:1900af98923c831cf0c20326174de96222edba9f23eb0682ee3e36dea5f2aeb5