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Paper Citation Record · LEDGER

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding

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.

pith.paper-citation-record.v1
2607.29196 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:54:22.116161Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

68 of 68 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0cf0ce2-41e3-4d47-94db-1bd806f57502 · outbound

This paper cites Alibaba Cloud Model Studio : Model list.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Alibaba Cloud Model Studio : Model list

Reference 1

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source=arxiv_source observed=2026-08-03T11:54:15.919993Z digest=sha256:4dbb1ffa52e4537096f503540c74a753dfe98eb1a9af34ec0f9c810c535449ae

Observation 3036ea58-a18b-4e08-97a5-cef77ef32811 · outbound

This paper cites Claude Platform : Models overview.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Claude Platform : Models overview

Reference 2

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source=arxiv_source observed=2026-08-03T11:54:16.042870Z digest=sha256:118d4a0ef2b6ef1cc7ccde89e40da14c9d18828e84a02b642bc2917fcc42d7e6

Observation 14bbb043-3dbf-43a8-9f36-822884196317 · outbound

This paper cites MT-Bench-101 : A fine-grained benchmark for evaluating large language models in multi-turn dialogues.

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

Reference 3

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source=arxiv_source observed=2026-08-03T11:54:16.153590Z digest=sha256:ff50f058789df8d051e5a97a5279161dbb0b49db4e2761b790fa5eab1b5fa456

Observation d9b935d4-89b7-464c-9b93-81d198d4a8ec · outbound

This paper cites Doubao Seed Models : Model documentation.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Doubao Seed Models : Model documentation

Reference 6

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source=arxiv_source observed=2026-08-03T11:54:16.411559Z digest=sha256:3c5d2d200ec1754caf9e4578c1ab6eaa5f57175ad79e7f6dd17d01689cb2fce4

Observation 7651d1cd-8161-475a-a40c-395242d3ee08 · outbound

This paper cites DeepSeek API Docs : Models and pricing.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding DeepSeek API Docs : Models and pricing

Reference 7

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source=arxiv_source observed=2026-08-03T11:54:16.444735Z digest=sha256:5674f45a8a8b1e732eac97724aabbf04d12d70dde25c6255a5553bdec6d17b9d

Observation a833b0b0-d3ad-4cd8-9de6-45b8972cce1e · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 10

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source=arxiv_source observed=2026-08-03T11:54:16.537617Z digest=sha256:6035a1078aeeaa2e9239c11c452ad6281870496fe8097793091d3ea755306267

Observation 1912a822-75cb-469e-9841-64c175ed4af3 · outbound

This paper cites FairMT-Bench : Benchmarking fairness for multi-turn dialogue in conversational LLMs.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding FairMT-Bench : Benchmarking fairness for multi-turn dialogue in conversational LLMs

Reference 11

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source=arxiv_source observed=2026-08-03T11:54:16.559431Z digest=sha256:2448d8a7e043cad66b676143e8f6e0324eba464de019bb0382ecffad4714871d

Observation 603b541b-59bc-4471-8346-954d49da2f21 · outbound

This paper cites Gemini API : Models.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Gemini API : Models

Reference 12

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source=arxiv_source observed=2026-08-03T11:54:16.629039Z digest=sha256:c8f7d8d246d87ca9361738427d9d97589746031f35b9c5f3e3b8ed8176136988

Observation 44f2f3a2-e09c-4f37-ae59-dc1b28bd6b3e · outbound

This paper cites RULER : What's the real context size of your long-context language models? In COLM, 2024.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding RULER : What's the real context size of your long-context language models? In COLM, 2024

Reference 16

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source=arxiv_source observed=2026-08-03T11:54:16.923948Z digest=sha256:731d3383faf911619913de8c24cd2aabee8ad7ecf4ce4d05ce2af1adf1dc97e9

Observation 66ffa153-03d6-482a-9884-32961603557e · outbound

This paper cites FollowBench : A multi-level fine-grained constraints following benchmark.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding FollowBench : A multi-level fine-grained constraints following benchmark

Reference 18

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source=arxiv_source observed=2026-08-03T11:54:16.974012Z digest=sha256:06ac38e4ed425f0b5292717020cd92ce2a7af3d0beab320402abb1aec3b0ac3f

Observation 3f177cc6-b26d-4473-a42d-157813d9b8a4 · outbound

This paper cites BABILong : Testing the limits of LLMs with long context reasoning-in-a-haystack.

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

Reference 19

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source=arxiv_source observed=2026-08-03T11:54:17.019149Z digest=sha256:60fb7cc7d4de6af25939ec6b706cbf84a38f99f1bcc35fd8c0b70b2757de2fb7

Observation 4dac1aa8-5421-400a-bc94-1ada3ffefbe2 · outbound

This paper cites MT-Eval : A multi-turn capabilities evaluation benchmark for large language models.

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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source=arxiv_source observed=2026-08-03T11:54:17.079136Z digest=sha256:138465ee195db6de374b0c872e549f2491b62515d39d908743bca5d36a6f4a7a

Observation cb74a53b-6413-47a3-b470-73366c7fbefa · outbound

This paper cites LLMs get lost in multi-turn conversation.

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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source=arxiv_source observed=2026-08-03T11:54:17.128350Z digest=sha256:46483fd8ee17914aa440a6fcbffdf59c8299b67ddf98ec4e32e59f991c270ca1

Observation 356376a1-a280-4d92-9ea9-2752420a64f7 · outbound

This paper cites Gonzalez, and Ion Stoica.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Gonzalez, and Ion Stoica

Reference 23

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source=arxiv_source observed=2026-08-03T11:54:17.180556Z digest=sha256:2fd1be1aef6f817d8497c566a6ad76fc7c76404982daaf6f1eca37cacb64ebb4

Observation 8c8549df-01c6-4de3-8f02-dc5573d5c8f6 · outbound

This paper cites WildBench : Benchmarking LLMs with challenging tasks from real users in the wild.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding WildBench : Benchmarking LLMs with challenging tasks from real users in the wild

Reference 26

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source=arxiv_source observed=2026-08-03T11:54:17.357756Z digest=sha256:7ac57a5119255727278428cb7344bd9c2a9cb9680f8a4ceddbfc651e440b3c6f

Observation 27475f7e-b596-469f-8cf3-24a2093494e1 · outbound

This paper cites Lost in the middle: How language models use long contexts.

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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source=arxiv_source observed=2026-08-03T11:54:17.413746Z digest=sha256:fa5b4380d932a8d4ba1cfec1107f25d501efd6672c17d905086b9b405c8cc52b

Observation 4d45c391-a5f7-4eee-b4f9-324475eba6fe · outbound

This paper cites AgentBench : Evaluating LLMs as agents.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding AgentBench : Evaluating LLMs as agents

Reference 29

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source=arxiv_source observed=2026-08-03T11:54:17.559077Z digest=sha256:0fa27b89e0c9a34a0969022f92155b9970591fce3cf16b4ce023aed79bb64487

Observation f89319d8-1197-4fa1-a93e-a123ac6a6de0 · outbound

This paper cites an unresolved cited work.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-03T11:54:17.602223Z digest=sha256:3d2a6dcf00e748f8718d15b4ba09ead01240fcd094c9cd2f75e0345930f83d1d

Observation d2cbc0fe-42c2-40ad-a71c-ddbb8be256c7 · outbound

This paper cites Kimi API Platform : Model list.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Kimi API Platform : Model list

Reference 31

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source=arxiv_source observed=2026-08-03T11:54:17.702021Z digest=sha256:e24b55f0ac048a0339f9f427775978185d006ef997e86cdcdeac2f79e234a59b

Observation 629ab9e0-4056-45b6-8456-a44fcfe905c9 · outbound

This paper cites OpenAI Platform : Models.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding OpenAI Platform : Models

Reference 32

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source=arxiv_source observed=2026-08-03T11:54:17.768866Z digest=sha256:b92389b962df4d4287c0d00791be546ca07b64ac4e1bfc89a820b1784838f092

Observation 5a1e23ee-283c-43d4-90a7-dec9d6524afa · outbound

This paper cites Hy3 and Hy3 Preview : Model repositories.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Hy3 and Hy3 Preview : Model repositories

Reference 36

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source=arxiv_source observed=2026-08-03T11:54:18.233562Z digest=sha256:c31484e3933ddbe5c332942fdbf024978f0b70ff60561b0736cc6e570e69620b

Observation d19327f9-2842-4873-8fcb-988fe0aa84bf · outbound

This paper cites CMT-Eval : A novel chinese multi-turn dialogue evaluation dataset addressing real-world conversational challenges.

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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source=arxiv_source observed=2026-08-03T11:54:18.265099Z digest=sha256:b0635138d8b8b87c707416646dd65dbc7a2062453cf9dd6b8ae4bf56fe655e1e

Observation 473381da-46c6-4d6b-8945-b2c2423d20b1 · outbound

This paper cites MINT : Evaluating LLMs in multi-turn interaction with tools and language feedback.

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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source=arxiv_source observed=2026-08-03T11:54:18.345350Z digest=sha256:8939de8ebdd6e43767a60e81f3b951d7a52a1967977ae86c01de992155b22b6b

Observation 261179f1-6dc4-4b9c-aa60-3b2d90ab4d01 · outbound

This paper cites Benchmarking complex instruction-following with multiple constraints composition.

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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source=arxiv_source observed=2026-08-03T11:54:18.451885Z digest=sha256:752ebad6aa747be19fee9caa8a1ab091ac8fe5b58926581b1a73235fdf3daea6

Observation 44b14624-421e-491f-a8e4-dc2900169b7b · outbound

This paper cites LongMemEval : Benchmarking chat assistants on long-term interactive memory.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding LongMemEval : Benchmarking chat assistants on long-term interactive memory

Reference 40

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source=arxiv_source observed=2026-08-03T11:54:18.560017Z digest=sha256:e05821b1ff288e032ef52f0be88c9f1445895304883d94c26136e70cd162202c

Observation 9a66bbfe-6b56-46ae-b77e-b38b002879c1 · outbound

This paper cites xAI API : Models (grok 4.5).

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding xAI API : Models (grok 4.5)

Reference 41

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source=arxiv_source observed=2026-08-03T11:54:18.613923Z digest=sha256:13590d80486ffb48e12f236b5e596d4a6433f7cbc8bdde3363f678f17eea3217

Observation 412a0b53-379d-465a-bf0e-f6e05dca639f · outbound

This paper cites Evaluating large language models at evaluating instruction following.

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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source=arxiv_source observed=2026-08-03T11:54:18.721000Z digest=sha256:5825c9dcfd74a9b97e9ba3e1acfc02f1afeb8d2d01ca2ab03765bcc1fbcbf440

Observation f16b115b-90fe-40c0-8776-b6dc2acfc2e8 · outbound

This paper cites IHEval : Evaluating language models on following the instruction hierarchy.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding IHEval : Evaluating language models on following the instruction hierarchy

Reference 44

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source=arxiv_source observed=2026-08-03T11:54:18.888898Z digest=sha256:e53a27e6361600bc56a5695aca070cb463a659e661bfbf148d8c53685d4213f2

Observation 74defae4-0169-4498-85d2-ef0f1bb937c2 · outbound

This paper cites Judging LLM -as-a-judge with MT-Bench and chatbot arena.

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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source=arxiv_source observed=2026-08-03T11:54:19.008449Z digest=sha256:ecc70c24bd57cb69a86b2408cea49a560d95251e64bbbdc2eaa7ce9c78d3a19a

Observation 6598612d-71c5-4a06-ba10-f913903dca20 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

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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source=arxiv_source observed=2026-08-03T11:54:19.138575Z digest=sha256:642fc79fd479badac0da80c7efb32fff27c96e1587c5c64c4624e435ab5152e4

Observation 95e2234a-e055-442d-9436-52831b1a6544 · outbound

This paper cites an unresolved cited work.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-03T11:54:19.193063Z digest=sha256:ddd89b66f22f3d41929da39ce7ce332c4e2c9bc2621f3a0ef97fd838dcab02c7

Observation 1c203874-00cb-471a-998d-4c739198b33d · outbound

This paper cites 2024 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , doi=

Reference 49

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source=arxiv_source observed=2026-08-03T11:54:19.334819Z digest=sha256:7670bc01160ad473fcc1d0bfea1dff37e4a5db9f5baa30341e01c2ebf39146da

Observation f7682089-71b1-42e1-8b75-7dfa8245a5a6 · outbound

This paper cites 2024 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , doi=

Reference 50

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source=arxiv_source observed=2026-08-03T11:54:19.445605Z digest=sha256:7838b2e0ca237cdef58608d6ecc6039cc9a4792787ef9d7677f22dbf2707b66e

Observation 3ce27f70-24a4-4c64-89b2-5b147d3a0374 · outbound

This paper cites Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

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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source=arxiv_source observed=2026-08-03T11:54:19.499279Z digest=sha256:6e854e7216735e526e2fbea4095c01326f2e8796f0b31e599d0a1e45fed6bab1

Observation 6ad40d67-b1b2-47e9-9524-66dc83fa7371 · outbound

This paper cites 2026 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2026 , url=

Reference 52

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source=arxiv_source observed=2026-08-03T11:54:19.553312Z digest=sha256:097e7dee030e3839b4c59346e39920f2792a63f88a31c92f96317b47d89133ab

Observation 9fe6b26e-9b3f-413f-880b-cf076fce5627 · outbound

This paper cites 2024 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , url=

Reference 53

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source=arxiv_source observed=2026-08-03T11:54:19.658771Z digest=sha256:3fe61aaa147587950632a6dd8c605de090d3bed2023cc1440c8bd25b25af49be

Observation 8490e5a6-efec-4200-9b9c-6b77fd8b4f2b · outbound

This paper cites 2024 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , doi=

Reference 54

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source=arxiv_source observed=2026-08-03T11:54:19.768540Z digest=sha256:254e50015430fac2d145d3508e925cfad0eef4115dd65237e56b1f605fb17052

Observation ec380178-7336-48b2-b2b0-a99ee1226891 · outbound

This paper cites , booktitle=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding , booktitle=

Reference 55

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source=arxiv_source observed=2026-08-03T11:54:19.822413Z digest=sha256:8982649df2ae16e62ee2404fcdbfe7bbb83267822ff0d8dc74ee64e36aa065b9

Observation ea13f156-fe1a-42fa-a5ab-b8b3fec5e3d6 · outbound

This paper cites 2025 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , doi=

Reference 56

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source=arxiv_source observed=2026-08-03T11:54:19.880510Z digest=sha256:6949cfa291592902cd943cfd8ad1c6f72d1715c2bd74851746fa16a72970ef83

Observation ccc75343-87c4-4b25-b198-625431b2b9b1 · outbound

This paper cites and Yue, Summer and Xing, Chen , booktitle=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding and Yue, Summer and Xing, Chen , booktitle=

Reference 57

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source=arxiv_source observed=2026-08-03T11:54:20.006529Z digest=sha256:417e43c9a968f15f39821ae96040110980d238ed23aa776d59675e953471cdb2

Observation 11e4d667-1bda-4031-b82c-dffdd013b812 · outbound

This paper cites 2025 , publisher=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , publisher=

Reference 58

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no resolver link, observed 2026-08-03T11:54:20.045358Z

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source=arxiv_source observed=2026-08-03T11:54:20.045358Z digest=sha256:c795fc36eec88951b07bda37413082a2427e53eef1bf2797a56bb804d3ffd069

Observation 1e18a762-7b4d-426c-9b8f-4260c74beae7 · outbound

This paper cites ACL Short Papers , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding ACL Short Papers , year=

Reference 59

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verified exact
doi, observed 2026-08-03T11:59:12.218601Z

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.

source=arxiv_source observed=2026-08-03T11:54:20.086287Z digest=sha256:87a92eafe0757606de3336efced9d1c4108e9a9373769a46d6650182e219ccbd

Observation 84a5a9e6-6b63-40d0-b986-1b213fa56d81 · outbound

This paper cites TACL , volume=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding TACL , volume=

Reference 60

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source=arxiv_source observed=2026-08-03T11:54:20.132395Z digest=sha256:292f20757385e620025ee184543b2798aa20225762e33a302af5ba75e0faf8cb

Observation 0ff98886-80a2-4e70-bc53-3359ec0e3565 · outbound

This paper cites 2025 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , doi=

Reference 61

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source=arxiv_source observed=2026-08-03T11:54:20.192447Z digest=sha256:7f2dadd184705bf7d8dc0cb9182cfb4183f78aa034018d3b10b7fddc6da79b5c

Observation 0c6f0438-6623-4b24-a9e8-8e7f29f87cf6 · outbound

This paper cites EMNLP Findings , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding EMNLP Findings , year=

Reference 62

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source=arxiv_source observed=2026-08-03T11:54:20.238557Z digest=sha256:de28791219928c0e45f52f86265a31aa3b52516fc614cc45f29a2f6f37fe5e86

Observation 3e1e7f3f-85ad-456b-afc7-a08bed963865 · outbound

This paper cites 2025 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , url=

Reference 63

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source=arxiv_source observed=2026-08-03T11:54:20.342561Z digest=sha256:810d26a4f50036fced47ff9cb6e6a022f6e442facf7fd6b545278d9179108b54

Observation 0fb63212-b825-4aed-af41-f80ac3d69a1b · outbound

This paper cites One Battle After Another: Probing.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding One Battle After Another: Probing

Reference 64

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verified exact
doi, observed 2026-08-03T11:59:11.909726Z

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.

source=arxiv_source observed=2026-08-03T11:54:20.448065Z digest=sha256:ff0cfa3600d95c8f23356dda0ad2cbb623b5e84f27529925ab615d2ef672d18d

Observation 2f64be0f-f0ac-4694-bf3c-e4213f1548a3 · outbound

This paper cites ACL , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding ACL , year=

Reference 65

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source=arxiv_source observed=2026-08-03T11:54:20.485039Z digest=sha256:d0a1c69bf7e0917181919f5b312d967ded34f8f72ba7904ffca8f9855f8eeead

Observation a17c039c-748a-46fc-b388-7252a5c1637d · outbound

This paper cites 2023 , eprint=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2023 , eprint=

Reference 66

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no resolver link, observed 2026-08-03T11:54:20.538257Z

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source=arxiv_source observed=2026-08-03T11:54:20.538257Z digest=sha256:393db5168ef9149360dc23badd501324cc2f9799f90437a394e5d73ad0a00455

Observation dde7cb24-6ccc-4263-b316-b5e9b5f6586e · outbound

This paper cites 2024 , doi=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , doi=

Reference 67

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no resolver link, observed 2026-08-03T11:54:20.650070Z

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source=arxiv_source observed=2026-08-03T11:54:20.650070Z digest=sha256:b4fcae6fceb862bce86d51e443fc41af48f027678fdfc62e142bdb9c601a7f37

Observation fa650952-5d5a-4684-b682-9a9d4e91de11 · outbound

This paper cites Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge

Reference 68

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source=arxiv_source observed=2026-08-03T11:54:20.710057Z digest=sha256:f98f8ce8406c292e8b5fbd52d521b7add81b342051f937cfcb06994210f863c4

Observation 111450b6-8723-4fd4-8784-5e7c7c74343e · outbound

This paper cites 2024 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , pages=

Reference 69

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source=arxiv_source observed=2026-08-03T11:54:20.763870Z digest=sha256:6e70b14229cf21029c804d4522835f8fd88e2a56ea2e1dd4758da218bcac0503

Observation 44e57a8b-8d57-4ef3-8593-58be3d7b9d0c · outbound

This paper cites 2024 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , pages=

Reference 70

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no resolver link, observed 2026-08-03T11:54:20.871776Z

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source=arxiv_source observed=2026-08-03T11:54:20.871776Z digest=sha256:fe57db388cb2429cbb87e3354aca2cf4696fcf027d14ae319933fced4a952303

Observation 5018c1a1-57bb-48e3-aa00-867b84183756 · outbound

This paper cites 2025 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , pages=

Reference 71

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verified exact
doi, observed 2026-08-03T11:59:11.494999Z

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.

source=arxiv_source observed=2026-08-03T11:54:20.981497Z digest=sha256:c2b54cf307131b3a4f6554437edfec02d6082d1704b3e1695b16dddbf8a24fc3

Observation 520d4e1f-1fbe-43f6-ac24-ae0b9bf60f74 · outbound

This paper cites 2024 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , pages=

Reference 72

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no resolver link, observed 2026-08-03T11:54:21.036528Z

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source=arxiv_source observed=2026-08-03T11:54:21.036528Z digest=sha256:c5abba65595a4e16f45c5ae2620d38dc6226189f6fcd31f7c9b4f62a44f89e90

Observation 49fd23ea-58a5-4393-958e-2a8ef63f2b9f · outbound

This paper cites NeurIPS , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding NeurIPS , year=

Reference 73

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no resolver link, observed 2026-08-03T11:54:21.099778Z

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source=arxiv_source observed=2026-08-03T11:54:21.099778Z digest=sha256:953aa458dce44c4dd17eac708f81d4109a5fa968e04c573746e36492e1abf38e

Observation ddc43a79-eb40-46fb-acd0-552c57942b1f · outbound

This paper cites 2024 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , pages=

Reference 74

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no resolver link, observed 2026-08-03T11:54:21.251825Z

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source=arxiv_source observed=2026-08-03T11:54:21.251825Z digest=sha256:aed399d6d731defb29b1e65e46f8cf686e6fa6637566bb47386a25cf358a8ad7

Observation a920d421-8dc4-4892-a761-94487f9b8672 · outbound

This paper cites 2024 , pages=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , pages=

Reference 75

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unresolved
no resolver link, observed 2026-08-03T11:54:21.319604Z

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source=arxiv_source observed=2026-08-03T11:54:21.319604Z digest=sha256:81bda8b95ac363732a6d529839570fea80679ac8faadad702342a6df44c8cbae

Observation 3f7d2321-4a16-4707-81db-30f55d960c9a · outbound

This paper cites 2025 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , url=

Reference 76

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no resolver link, observed 2026-08-03T11:54:21.353611Z

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source=arxiv_source observed=2026-08-03T11:54:21.353611Z digest=sha256:6028481701001d84c92e39f927665acc3f4196d7424ee573cfce9be73842ae52

Observation d34b4f04-1c03-431a-8fb6-c59f52c4fdb4 · outbound

This paper cites ICML , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding ICML , year=

Reference 77

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source=arxiv_source observed=2026-08-03T11:54:21.409490Z digest=sha256:3693cdf305eeeaf0967c043dcab6cd5840f9bdf613b2fbb163ab6fe0a282fea6

Observation 03c31d39-a66f-49dd-81d9-318030a90c71 · outbound

This paper cites , booktitle=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding , booktitle=

Reference 78

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no resolver link, observed 2026-08-03T11:54:21.525763Z

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source=arxiv_source observed=2026-08-03T11:54:21.525763Z digest=sha256:f123cdd49aaaf80420f6211763b3f4997d631d04fdf2dd8e89a9fac9d5a44d5c

Observation ba903d10-a02c-4f8f-94c5-b909c9858ecf · outbound

This paper cites ICLR , year=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding ICLR , year=

Reference 79

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no resolver link, observed 2026-08-03T11:54:21.565721Z

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source=arxiv_source observed=2026-08-03T11:54:21.565721Z digest=sha256:ac28c817a580bd72c13752d315d2ff1cfc5a3c16ad22bc33e5a65f96b19d29f4

Observation a79af1e1-4b35-4cea-8893-137854931432 · outbound

This paper cites 2024 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , url=

Reference 80

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no resolver link, observed 2026-08-03T11:54:21.635669Z

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source=arxiv_source observed=2026-08-03T11:54:21.635669Z digest=sha256:3d710c03c0d78b5fc069e106bcbdce97bd7ad99fdfe49a5d6714cbc2c1e6409b

Observation b2f778f6-c09c-4024-8d6c-daeaee36b10c · outbound

This paper cites 2024 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2024 , url=

Reference 81

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no resolver link, observed 2026-08-03T11:54:21.790097Z

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source=arxiv_source observed=2026-08-03T11:54:21.790097Z digest=sha256:1fd5aa86bdf6599295f0c129ef59e8ddbf7d54ff3d9aa14016355ef3fc3eb858

Observation 25d9b991-0926-405b-9e14-28231ba76393 · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

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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no resolver link, observed 2026-08-03T11:54:21.890923Z

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source=arxiv_source observed=2026-08-03T11:54:21.890923Z digest=sha256:3a981f90860c86acadc494d3982488f8fba96e06bf1ebc7734135c11c57b5300

Observation 797a342e-00e3-498f-8edb-8c80e1f6b7c7 · outbound

This paper cites MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

Reference 83

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no resolver link, observed 2026-08-03T11:54:21.954324Z

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source=arxiv_source observed=2026-08-03T11:54:21.954324Z digest=sha256:d0233771d3b83b5215a61067ffd1cb251ffb56704841e3453025aec218c9f7a2

Observation 8f1184d0-7747-431d-9ba4-9b1405d0be97 · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 84

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no resolver link, observed 2026-08-03T11:54:22.062287Z

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source=arxiv_source observed=2026-08-03T11:54:22.062287Z digest=sha256:dbf7c6b7ca08f5a7d91a5cc410d568d52c231e97382352c836476de4f5b614be

Observation 6f4a9a03-ba82-4baf-8216-f299468682ce · outbound

This paper cites 2025 , url=.

Hy-MultiTurn: A Six-Dimensional Benchmark for Deep Multi-Turn Dialogue Understanding 2025 , url=

Reference 85

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no resolver link, observed 2026-08-03T11:54:22.116161Z

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source=arxiv_source observed=2026-08-03T11:54:22.116161Z digest=sha256:2f7df1dfbb0146c494b0b457192acb01d3fc7e09ea6f0be762ef1c030f5148bb

Pith citing papers

No inbound Pith citation observations are available.