Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T11:54:22.116161Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.29196.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T11:54:22.116161Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f0cf0ce2-41e3-4d47-94db-1bd806f57502 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Alibaba Cloud Model Studio : Model list
Reference 1
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Observation 3036ea58-a18b-4e08-97a5-cef77ef32811 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Claude Platform : Models overview
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Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding MT-Bench-101 : A fine-grained benchmark for evaluating large language models in multi-turn dialogues
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Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding DeepSeek API Docs : Models and pricing
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Observation a833b0b0-d3ad-4cd8-9de6-45b8972cce1e · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
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Observation 1912a822-75cb-469e-9841-64c175ed4af3 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding FairMT-Bench : Benchmarking fairness for multi-turn dialogue in conversational LLMs
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Observation 603b541b-59bc-4471-8346-954d49da2f21 · outbound
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Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding FollowBench : A multi-level fine-grained constraints following benchmark
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Observation 3f177cc6-b26d-4473-a42d-157813d9b8a4 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding BABILong : Testing the limits of LLMs with long context reasoning-in-a-haystack
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Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding MT-Eval : A multi-turn capabilities evaluation benchmark for large language models
Reference 20
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Observation cb74a53b-6413-47a3-b470-73366c7fbefa · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding LLMs get lost in multi-turn conversation
Reference 21
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Observation 356376a1-a280-4d92-9ea9-2752420a64f7 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Gonzalez, and Ion Stoica
Reference 23
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Observation 8c8549df-01c6-4de3-8f02-dc5573d5c8f6 · outbound
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Observation 27475f7e-b596-469f-8cf3-24a2093494e1 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Lost in the middle: How language models use long contexts
Reference 27
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Observation 4d45c391-a5f7-4eee-b4f9-324475eba6fe · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding AgentBench : Evaluating LLMs as agents
Reference 29
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Observation f89319d8-1197-4fa1-a93e-a123ac6a6de0 · outbound
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Reference 30
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Observation d2cbc0fe-42c2-40ad-a71c-ddbb8be256c7 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Kimi API Platform : Model list
Reference 31
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Observation 629ab9e0-4056-45b6-8456-a44fcfe905c9 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding OpenAI Platform : Models
Reference 32
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Observation 5a1e23ee-283c-43d4-90a7-dec9d6524afa · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Hy3 and Hy3 Preview : Model repositories
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Observation d19327f9-2842-4873-8fcb-988fe0aa84bf · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding CMT-Eval : A novel chinese multi-turn dialogue evaluation dataset addressing real-world conversational challenges
Reference 37
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Observation 473381da-46c6-4d6b-8945-b2c2423d20b1 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding MINT : Evaluating LLMs in multi-turn interaction with tools and language feedback
Reference 38
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Observation 261179f1-6dc4-4b9c-aa60-3b2d90ab4d01 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Benchmarking complex instruction-following with multiple constraints composition
Reference 39
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Observation 44b14624-421e-491f-a8e4-dc2900169b7b · outbound
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Reference 40
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Observation 9a66bbfe-6b56-46ae-b77e-b38b002879c1 · outbound
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Reference 41
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Observation 412a0b53-379d-465a-bf0e-f6e05dca639f · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Evaluating large language models at evaluating instruction following
Reference 42
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Reference 44
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Observation 74defae4-0169-4498-85d2-ef0f1bb937c2 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Judging LLM -as-a-judge with MT-Bench and chatbot arena
Reference 45
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Observation 6598612d-71c5-4a06-ba10-f913903dca20 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Instruction-Following Evaluation for Large Language Models
Reference 47
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Observation 95e2234a-e055-442d-9436-52831b1a6544 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Unresolved cited work
Reference 48
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Reference 49
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Reference 50
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Observation 3ce27f70-24a4-4c64-89b2-5b147d3a0374 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following
Reference 51
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Reference 52
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Reference 53
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Reference 54
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Reference 57
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Reference 58
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Reference 59
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Observation 84a5a9e6-6b63-40d0-b986-1b213fa56d81 · outbound
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 65
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Reference 66
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Reference 67
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Reference 68
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Reference 69
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Reference 70
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Reference 71
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Reference 72
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Reference 73
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Reference 74
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Observation a920d421-8dc4-4892-a761-94487f9b8672 · outbound
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Reference 75
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Reference 76
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Reference 77
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Reference 78
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Reference 79
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Reference 80
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Reference 81
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Observation 25d9b991-0926-405b-9e14-28231ba76393 · outbound
Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding MemoryBank: Enhancing Large Language Models with Long-Term Memory
Reference 82
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Reference 83
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Observation 8f1184d0-7747-431d-9ba4-9b1405d0be97 · outbound
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Reference 84
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Observation 6f4a9a03-ba82-4baf-8216-f299468682ce · outbound
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Reference 85
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No inbound Pith citation observations are available.