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Paper Citation Record · LEDGER

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units

As of 24 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.18763.

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

pith.paper-citation-record.v1
2508.18763 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:18:49.017430Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8c6feb2-2db5-4d86-81c1-b5a0324a3470 · outbound

This paper cites GPT-4 Technical Report.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units GPT-4 Technical Report

Reference 1

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Observation 70a46028-9bb7-4132-95ce-df0de63eda4f · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Yi: Open Foundation Models by 01.AI

Reference 2

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source=arxiv_source observed=2026-08-05T16:18:43.791933Z digest=sha256:ddfe44089b3061cc63e8cda2fed401c9fef2fa217c5288b4b92da21f28b9ceb5

Observation 5b100fc0-ab47-4754-8268-03d358feef64 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-05T16:18:43.907340Z digest=sha256:03de99359a621d8b6f266ee85618c9411bb43c7baf67e60864ba6374090c4964

Observation 01ebf2da-cbad-4c1c-a9b9-5964217ee933 · outbound

This paper cites InternLM2 Technical Report.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units InternLM2 Technical Report

Reference 4

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source=arxiv_source observed=2026-08-05T16:18:44.071163Z digest=sha256:511c1e5e827ecd8b228a3d42dc4fd49ce9b9ab73dafa8e26666c8574ef9b3338

Observation 1fad3ebb-52cd-42c7-8d91-0e868a5d6a62 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Evaluating Large Language Models Trained on Code

Reference 5

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source=arxiv_source observed=2026-08-05T16:18:44.140766Z digest=sha256:1e6c585791c37228eaf23aaf107f45a4b8c5ace7bfdda41f0e9e190d3aa9b16c

Observation 8c83d3bb-834a-4b3f-8144-56eb4a86a91c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

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no resolver link, observed 2026-08-05T16:18:44.226038Z

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source=arxiv_source observed=2026-08-05T16:18:44.226038Z digest=sha256:f4b11b9efc7644cd3a4e19202904e33e6b45d36f915815ce7864cc26be683860

Observation d0ab9468-fb9b-41a4-ab49-421be2cab854 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Training Verifiers to Solve Math Word Problems

Reference 7

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no resolver link, observed 2026-08-05T16:18:44.331865Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T16:18:44.331865Z digest=sha256:0810d64c160f6f248dc6878d6d3a365cae4391a68a5a7a3f82cceeea4206110e

Observation e4ec5435-4cee-4112-aec4-02d1042a2f5a · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 8

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Observation d1d0408e-d5ca-42aa-9892-0a2132dc01af · outbound

This paper cites The Llama 3 Herd of Models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units The Llama 3 Herd of Models

Reference 9

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Observation a95198a0-20fe-4f66-98d4-23ad94722ce9 · outbound

This paper cites Hierarchical Neural Story Generation.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Hierarchical Neural Story Generation

Reference 10

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Observation 1b4875cd-9bb5-40da-a5e3-985edbd95183 · outbound

This paper cites SSRL: Self-Search Reinforcement Learning.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units SSRL: Self-Search Reinforcement Learning

Reference 11

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source=arxiv_source observed=2026-08-05T16:18:44.717716Z digest=sha256:42fe0665b2eb98bd47bfa7e8cdb758110ec1e790824777610cfd4468e2a10173

Observation 414c8add-527b-4e2f-b59a-7b03c487d613 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 055fd2e8-2722-4071-a06d-f484e4a7e69e · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 13

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Observation 5cee02f0-f779-4877-8eb9-31ce6b0e67db · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 14

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no resolver link, observed 2026-08-05T16:18:44.975904Z

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Observation 35e65529-3fe8-4e14-896e-d31aa04adef8 · outbound

This paper cites Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement

Reference 15

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source=arxiv_source observed=2026-08-05T16:18:45.106069Z digest=sha256:4a060e48d9fed14a30bf0939d1f16fd2a9b965df330424c44f61d0e170dee9b3

Observation 1a9ea2cd-5cd7-4ce9-ac7f-38e7e433816d · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-05T16:18:45.225892Z digest=sha256:b5ec260da29ebad7037dfd1a5845044434a5c2d43d828d658d14051dac461a58

Observation 49064692-eb99-4534-9f4f-b15653f53f1d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Distilling the Knowledge in a Neural Network

Reference 17

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Observation 4a210ff2-092b-4195-8d27-8798d0d866b8 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 18

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Observation 423ccf42-dfab-45af-983c-70023554c593 · outbound

This paper cites Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

Reference 19

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source=arxiv_source observed=2026-08-05T16:18:45.589412Z digest=sha256:b4e0cf6c3346f80ac32355e917acbb8a52eca2d24389c8fa7d8a3f5463a5240a

Observation 9a010947-4f7f-40be-8edb-35e759931d33 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7c622c49-da51-4300-b926-d025b53eb3b7 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 21

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Source-reported events for the cited work

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Observation 2f33d6bf-807b-4537-a5ee-8602f4c3f53a · outbound

This paper cites Scaling Laws for Neural Language Models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Scaling Laws for Neural Language Models

Reference 22

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Observation fcb61c41-52ee-4e35-968a-78e3d7c41a14 · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 23

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Observation cf8fbb36-14ca-4d03-a6f2-9137512e0059 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

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Observation f3871cff-5644-4ec8-b02f-8ae4fe67f63a · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 25

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source=arxiv_source observed=2026-08-05T16:18:46.430909Z digest=sha256:46e932c91f71b51d70192f8aa09439bd7eee017b0191c9c37a1430453c1d7408

Observation 3cebe6d6-38f9-4d18-b052-a4b2c5380c74 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 26

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Observation 79d9ae5c-b678-4b23-b882-66f9a5647ac1 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 50f4c8b1-65b2-4db6-ba16-20f3730fe034 · outbound

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

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

Reference 28

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Observation 6c7a4675-064f-4b18-b700-72de434e2116 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 80f1598c-1706-4e6a-87e2-74c64a0e689c · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 30

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Observation e47768eb-41c5-44ce-ab2b-1f67c1c05474 · outbound

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

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Are NLP Models really able to Solve Simple Math Word Problems?

Reference 31

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Observation 9f4d3ef7-fcd9-4dee-90d1-bf55e32f8521 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 32

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Observation d2d6ee4c-68ae-47ba-9989-e7c593c5cfa5 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c0a8c4d2-2fc9-46c6-922a-346fe07c2df7 · outbound

This paper cites Learning to Decode Collaboratively with Multiple Language Models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Learning to Decode Collaboratively with Multiple Language Models

Reference 34

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Observation 8df4b76b-247d-46bf-8406-4e56e24bd402 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 35

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Observation 92d4d64a-4dd9-41aa-891d-02be27b40964 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.429363Z digest=sha256:b4a35f31b604ab628569b98a90895e37bdc7a3757850d88b9e9f285afa1ceb3c

Observation 4704b8da-bcbc-4778-857b-96d69ea5f566 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Large Language Model Routing with Benchmark Datasets

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.579114Z digest=sha256:27dff3e843e1ace816679a9c4ee825336ef34b8b199d1549dfcc10dc7ecce208

Observation a23460fe-06c3-4ba8-9bd2-41b29e527746 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 38

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no resolver link, observed 2026-08-05T16:18:47.713752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.713752Z digest=sha256:bf389e26569f9b664eec82ac41349cc3c160deb1081ef77309123d95082874f2

Observation 07fac0f6-5561-4bcb-af56-f5adfd3581e5 · outbound

This paper cites Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:47.781124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.781124Z digest=sha256:feae7d579cb2d572733aee6a8ea2baf239490c82aeaeab20862adde267d4efc1

Observation 8387ec45-17f7-4957-bb31-673ef8552c98 · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:47.890250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:47.890250Z digest=sha256:314f5c3616d92d2f96053102732c0f0c6c00950b0da2cc22a3c1e0af006fe94e

Observation fdef850c-e17a-4759-becc-2bf4aa0440d7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.048626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.048626Z digest=sha256:18187147e2815d759d2cf81f60091691bb0a6ac27ca2e7885284e31cb088777e

Observation cb698a9e-8124-403b-af80-5b154b694bc1 · outbound

This paper cites Knowledge Fusion of Large Language Models.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Knowledge Fusion of Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.135803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.135803Z digest=sha256:3cb0ee3510696e1c479ab53ea0a3c1399aca456418f0980f88d49f6a145ce65c

Observation 4f3f7983-c2d0-4c5c-93ef-dc85a0bfbcca · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.221826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.221826Z digest=sha256:7a1bcd9211c52ddf478243d5216595ef0d21791ee9dc8972a674943f417d9217

Observation 60f686e7-b35e-4063-a2e7-bfced06dda7d · outbound

This paper cites Bridging the Gap between Different Vocabularies for LLM Ensemble.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Bridging the Gap between Different Vocabularies for LLM Ensemble

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.273269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.273269Z digest=sha256:2c66d612ad70da47ecc3ac30f00f1b7e5fc4a00be122fa4ad1221d0d648e56fe

Observation 3f9d0750-16e0-4099-a846-7bdb3913dceb · outbound

This paper cites Qwen2 Technical Report.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Qwen2 Technical Report

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.359737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.359737Z digest=sha256:4cf423810788009dca280e9940e273066e6a4fc2d29fbd6411bd0f6f3281c935

Observation b4ed78c1-3bfb-4ffe-935a-9aac955e0b5d · outbound

This paper cites Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.415256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.415256Z digest=sha256:440de7d7d23bc97dcc38d77679c42f8bcba979a92647eedd09fe33034a594a7d

Observation 7b67acfd-f178-4d7e-b752-66a09275d748 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T16:18:49.332031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-05T16:18:48.508388Z digest=sha256:bb4728044227b3be01d0acf196bd8fb6e2a60ec973cfd0b69a51b250bcf7508e

Observation d8052d43-3877-4853-9eeb-bdc6655e6654 · outbound

This paper cites an unresolved cited work.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:18:50.266518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-05T16:18:48.605484Z digest=sha256:3860724ed376fccdea8be05a1bd2a93a160596ae0fba48b37df1dc5e867d8f42

Observation ad7eae5d-3e38-4d35-88b0-d921f2b00291 · outbound

This paper cites Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.702901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.702901Z digest=sha256:16e893ecdffcd3c2b3267b55700373c4d1e3e4324d1fc64f5d1e5a9311d1443f

Observation e1b881ac-be65-40b1-a94e-d7b13de4415b · outbound

This paper cites ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.779795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.779795Z digest=sha256:3630f8bb23a73cf6ed978564dea247c3f212d6d083f9cdd73d046cb8d270ae4d

Observation 0e84b853-489f-4661-9a51-3707c960b1d8 · outbound

This paper cites online" 'onlinestring :=.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units online" 'onlinestring :=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:48.855263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:48.855263Z digest=sha256:ed2f5c9b2e1e2f9f0bac32c1a1dd1a3618c6d755f94792eaa1665be8c9c8604a

Observation 4db91ee4-4cfe-42cf-b37b-237b122ee966 · outbound

This paper cites write newline.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units write newline

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:49.017430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:49.017430Z digest=sha256:fd04154f3f169cea025afbc415cebbff67a5f14dd3e42d29fb55e72d94d428db

Pith citing papers

No inbound Pith citation observations are available.