Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:52:06.274552Z
Paper Citation Record · LEDGER
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems
As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.13317.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
31 of 31 outbound references displayed
- verified exact2
- verified fuzzy12
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation adb721f3-7838-4d0b-b54b-cb5e3b9e4a11 · outbound
This paper cites Progressive Depth Up-scaling via Optimal Transport.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Progressive Depth Up-scaling via Optimal Transport
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.128962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3246a52-430a-44a6-ab11-a4fa3c74ed1b · outbound
This paper cites Evaluating Large Language Models Trained on Code.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Evaluating Large Language Models Trained on Code
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.139606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3214ba92-ab8f-4af7-a23d-e688cb1ec75d · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.150249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a5906cc-ae26-4907-91e0-cf005b4def52 · outbound
This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.171076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d418bf-2469-480d-8e73-b82270941697 · outbound
This paper cites 10 Published as a conference paper at COLM 2026 Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems 10 Published as a conference paper at COLM 2026 Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.181337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 106e156f-f3cc-472a-a012-ee4881e26330 · outbound
This paper cites acl-long.353.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems acl-long.353
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.186778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5503b29-be8c-4549-8137-59aa46a975e5 · outbound
This paper cites Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, and Yu Cheng.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, and Yu Cheng
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.206749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 197242c6-f816-49b9-a2bc-54bc541597f7 · outbound
This paper cites Olmo 3.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Olmo 3
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.211224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3bee6ef-8675-4e63-a83e-471646efa1dd · outbound
This paper cites Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.215894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4594f8c-4d58-4866-8943-c2497d76309b · outbound
This paper cites Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answering.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answering
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:52:06.413084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f7e7db9d-deb5-44a6-9f54-f158ace5291c · outbound
This paper cites Autogen: Enabling next-gen llm applica- tions via multi-agent conversations.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Autogen: Enabling next-gen llm applica- tions via multi-agent conversations
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.804276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c527ce0d-06f9-4026-b8ce-20d5bbe2bb27 · outbound
This paper cites Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.229824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 513e17e5-0ce7-4d16-b54d-32119e512d8c · outbound
This paper cites Qwen3 Technical Report.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Qwen3 Technical Report
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.234459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b19b445d-48d4-4fe2-b5b5-07798f426630 · outbound
This paper cites LLM-based Multi-Agent Systems: Techniques and Business Perspectives.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.239030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 008c1a12-8fcd-421a-93bf-dd53cadcf76d · outbound
This paper cites Mobile-Agent-v3: Fundamental Agents for GUI Automation.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Mobile-Agent-v3: Fundamental Agents for GUI Automation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.243532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7251c39-4750-4f43-aaf7-2aa6adb07902 · outbound
This paper cites Large language model-brained gui agents: A survey.Transactions on Machine Learning Research, 2025a.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Large language model-brained gui agents: A survey.Transactions on Machine Learning Research, 2025a
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.789676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0d73eac-387a-40f4-b1a0-3428fe590c76 · outbound
This paper cites We first formalize the information bottleneck in text communication, then contrast the two approaches at the representation level.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems We first formalize the information bottleneck in text communication, then contrast the two approaches at the representation level
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.774945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cd35c53d-9760-4e19-a052-06c26178ca55 · outbound
This paper cites For intermediate γ, the S-dependent coefficients in Hγ still encode continuous variation within span(R), but directions outside this subspace remain inaccessible.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems For intermediate γ, the S-dependent coefficients in Hγ still encode continuous variation within span(R), but directions outside this subspace remain inaccessible
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.758312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ead1352-1988-49d4-84ae-12702f781d65 · outbound
This paper cites Problems span algebra, geometry, number theory, and combinatorics, and require precise numeric answers.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Problems span algebra, geometry, number theory, and combinatorics, and require precise numeric answers
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.742497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 114a1b79-3349-49d9-a444-d08cd525fd40 · outbound
This paper cites Compared with AIME24, this set includes more multi-phase deriva- tions and intricate combinatorial constructions, offering a complementary test of mathematical reasoning.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Compared with AIME24, this set includes more multi-phase deriva- tions and intricate combinatorial constructions, offering a complementary test of mathematical reasoning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.727159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 585dc091-dfd1-45b5-877c-a2d40454e06c · outbound
This paper cites The dataset emphasizes conceptual depth and cross-disciplinary reasoning.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems The dataset emphasizes conceptual depth and cross-disciplinary reasoning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.711222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 414b5472-218e-4207-82b3-cbcc0815e1dc · outbound
This paper cites text format.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems text format
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.677846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cffc47d1-a22a-45c0-a24c-b571d7203b67 · outbound
This paper cites Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, and Yun-Nung Chen.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, and Yun-Nung Chen
Reference 1966
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.202201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d78e074d-b749-4516-88f4-2e5932ae7614 · outbound
This paper cites Chawla, Olaf Wiest, and Xiangliang Zhang.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Chawla, Olaf Wiest, and Xiangliang Zhang
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.829339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2235de64-a6f1-44bb-8e26-e741a4c97b8d · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Training Verifiers to Solve Math Word Problems
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.155534Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9e37886-6c1a-4b6d-96fb-28a937aa8acb · outbound
This paper cites A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.166082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68ca35bb-4e2b-418d-9ff3-6f273cfe8b67 · outbound
This paper cites Optima: Optimizing effectiveness and efficiency for llm-based multi-agent system.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Optima: Optimizing effectiveness and efficiency for llm-based multi-agent system
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.860129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b4b05471-2c26-4d6a-b8db-5449ed21029b · outbound
This paper cites AIME 2024 dataset.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems AIME 2024 dataset
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:52:06.193272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df80b6b0-22d8-4336-84cc-2abf44d14acd · outbound
This paper cites Predicting multi-agent specialization via task paralleliz- ability.arXiv preprint arXiv:2503.15703,.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Predicting multi-agent specialization via task paralleliz- ability.arXiv preprint arXiv:2503.15703,
Reference 2024
- Resolution
- verified exact
- raw_fallback, observed 2026-08-14T13:52:06.566326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1aaa5e80-1f3a-41e3-af57-e527ac270999 · outbound
This paper cites Why do multi-agent llm systems fail? InAdvances in Neural Information Processing Systems (NeurIPS 2025, Datasets and Benchmarks Track),.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Why do multi-agent llm systems fail? InAdvances in Neural Information Processing Systems (NeurIPS 2025, Datasets and Benchmarks Track),
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.876304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 72a1fa1d-7dd2-46ef-b9e7-e0caca768477 · outbound
This paper cites How contextual are contextualized word representations? comparing the geometry of BERT, ELMo, and GPT-2 embeddings.
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems How contextual are contextualized word representations? comparing the geometry of BERT, ELMo, and GPT-2 embeddings
Reference 2026
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:52:06.845167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.