Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.09856.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:21:30.446440Z
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 2026-08-08T06:32:00.761636+00:00.
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.
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.
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.
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.