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Paper Citation Record · LEDGER

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2502.06882.

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

pith.paper-citation-record.v1
2502.06882 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:43:06.888004Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:21:48.456167Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.806820Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved32
  • parse uncertain2
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6312ee92-9abe-4b4f-8f3f-dca4b784e5ff · outbound

This paper cites Well, the thing is.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Well, the thing is

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.720445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.654730Z digest=sha256:307c848141bbb218d9138fe657aaed801ee9b120f7eff70acbd10a03fda38142

Observation 0f43c607-cd84-4c0d-bdc8-ad1ecb079174 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.697000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.663137Z digest=sha256:1f52c81257d123cb39d00f454820fd3a628caa43b5601601fefdeed5a740d92d

Observation a3705702-87ce-48d6-910e-910fa304dada · outbound

This paper cites AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T18:43:06.636356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:43:06.636356Z digest=sha256:d0379a39afe9813f8c433ef7c8711e9c78e26d5ef3885298c98a2250208cc56c

Observation dfebe2fd-b930-407f-abf8-7beeea914cf3 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.673090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.671142Z digest=sha256:711cc3e6644f0e59c46c1a101b1117cb743c5833f94426d4cc6f622b0d10c8ca

Observation 97373772-27e6-44d5-b03f-3ee87131a315 · outbound

This paper cites Identity-Driven Hierarchical Role-Playing Agents.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Identity-Driven Hierarchical Role-Playing Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T18:43:06.645543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:43:06.645543Z digest=sha256:10900de9536ab929aaf082334262dc07a94b87514da97d7598f4be2fef416dab

Observation 28052706-7c08-4215-8ebc-0c370284f7ab · outbound

This paper cites 事实理由”或者“经审理查明事实.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 事实理由”或者“经审理查明事实

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.649400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.679866Z digest=sha256:a5cd8ee195369029bbfec809733d8a3a2cc4d6c891cd632252cfe766a6e61f7c

Observation 5bec36fc-217b-4a1a-a241-dde6f09fc4c1 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 8

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T18:43:07.708867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.659300Z digest=sha256:6cf8f89244c164b612696979621fe98ccc4001c4ae3afdb23cc30df7483f97f8

Observation d2909045-9850-44ae-afe3-eaa7bfbeb52c · outbound

This paper cites <Inquiry End>.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction <Inquiry End>

Reference 9

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T18:43:07.370136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.770162Z digest=sha256:3269b1e694ff02f1f7065293e1bf3ac11d63672ec2bb9072c817224d8fb8fb7b

Observation 4eeb051e-23f0-48ca-94cc-e48d649300ae · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.684979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.667188Z digest=sha256:caeab597fe69bbcd512bdce5f4ac8fa0ec0aaf7bb57bd15e83eb849210b2de78

Observation 5abd0268-c19d-43f8-ad4a-a89b08bbc83b · outbound

This paper cites 事实与理由"的内容或.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 事实与理由"的内容或

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.661048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.675519Z digest=sha256:a90bbdf84dea81d3d372b4082c4d0580ab6a58a45105a08c33c60927618d5b7a

Observation c08f1a1e-6b74-40c7-b3cf-ece0744cbbf6 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.637067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.683803Z digest=sha256:c68b460944f9306f2beca6cc6be1f20e8d11dda7264d73be82b31ede457c132f

Observation 4e8af0d1-ab75-4f46-86c1-64ac6a55e02e · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.625520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.687633Z digest=sha256:b9d2c2bd6bd569789cdb290f0c46411ce37a2555f631bb985ed763ca10947d68

Observation e99c9725-deea-4685-84b1-acc9057554d4 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.614029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.690940Z digest=sha256:e6c60a90d6e7f65eccec8eadcd82ed09105fcff3c925f3f4c42ff4d9d35ed268

Observation 18785267-f001-41ca-b71a-9e29a16d2af0 · outbound

This paper cites ……" #正确输出: {.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction ……" #正确输出: {

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.601975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.694429Z digest=sha256:0bf583b7354fc5ad21b8a2dce6c4ca39af581a8656be75376b1888a6a556c364

Observation fa34289a-9657-44a3-8fc8-f95199a17c5e · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.589904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.697796Z digest=sha256:aa7ac368798907fedf414edf935487b9f32be6b7b8a717c430fa8eae1d4c5f35

Observation 76db9942-d9b9-4b0e-9637-41838112c0da · outbound

This paper cites If the plaintiff is a company, extract the company’s name, address, and the name of the responsible person or legal representative.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction If the plaintiff is a company, extract the company’s name, address, and the name of the responsible person or legal representative

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.578855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.701304Z digest=sha256:59a7465362f488c924097b3e31d61d310f7c8f8f9246480319bcd611be08ec5a

Observation 569b3728-bb70-4733-8845-e8e140edc3b0 · outbound

This paper cites B.2 Goal Evaluation The goal evaluates the quality of complaints quality from local and global perspectives.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction B.2 Goal Evaluation The goal evaluates the quality of complaints quality from local and global perspectives

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.731759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.650548Z digest=sha256:27efeed189e34afa1b47f40cd7dc349daa6a038d1a3b1a77de0e1f11ad5cf8d0

Observation a6b613a1-5680-45b0-9a68-f26963e404e8 · outbound

This paper cites If the defendant is an individual, extract their name, gender, ethnicity, date of birth, and address.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction If the defendant is an individual, extract their name, gender, ethnicity, date of birth, and address

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.568292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.704592Z digest=sha256:6517c73ac1a7b878f8d21838d14e1ea3608b4dbeccce6c1f43969d7fdd2ee3e9

Observation 38977bd5-c6ac-4d3a-9665-7c4716ddd929 · outbound

This paper cites The plaintiff’s claims may change during the litigation process, so you need to identify and extract these changes.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction The plaintiff’s claims may change during the litigation process, so you need to identify and extract these changes

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.558091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.707753Z digest=sha256:0f545492e120c9f0ba51a9870e720fb6a74b397135aff2c6ea6179b0a29045ff

Observation e3d7f5ea-c93f-44c4-8726-9911feeb2089 · outbound

This paper cites Facts and Reasons.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Facts and Reasons

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.547141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.710957Z digest=sha256:d8b734c8d9fb5c0b22a0f3a274cdf958566e9ef2d04968bb19fb3d351801b832

Observation 963cd0d4-86d9-43a8-9a02-c5fedc5c15c0 · outbound

This paper cites Facts and Reasons.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Facts and Reasons

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.536872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.714018Z digest=sha256:5d284dec1327f8fc6ccbec6b0a790697036f7638d321769111682458d11ba9de

Observation 18eae3e6-2d4a-42d8-a37f-546d4e661ee6 · outbound

This paper cites You may not summarize, delete, modify, or add to the content.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction You may not summarize, delete, modify, or add to the content

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.526071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.717002Z digest=sha256:0f8afd9edd18bd17af084c95aceed88075729e5222b56f0dea4ace1e59b4e917

Observation 6a5402cc-77d8-414e-ac49-96d25e9817e2 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.514149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.720521Z digest=sha256:cb8e8d3d097317de124e7dc53b02db8ad88ea537e7d99bf10a2162f21c1631a0

Observation 7952b5b0-e808-46c9-ba5e-0b250de0d3d8 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.502756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.724067Z digest=sha256:e926d56a31efda5fe0a22bb6711c23029ffc7221c7a4d590f319e706b025b856

Observation 93770bc4-ad03-4c74-bb4b-f1762917e0f7 · outbound

This paper cites Carefully identify what constitutes the plaintiff’s evidence, and if none exists, return null.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Carefully identify what constitutes the plaintiff’s evidence, and if none exists, return null

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.490484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.727836Z digest=sha256:c648756502f1c963436ec41fcac0447116af2c892611b7c0965d54819ef29701

Observation e9016c0a-a3c2-43ef-8023-805248e86fb9 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.479278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.731679Z digest=sha256:f875508f4d1719c41a5c937c734eb336eb6f7f5942fc623695d1234a465c8d67

Observation 1134fb5c-44d3-41fe-8491-2f139089cac4 · outbound

This paper cites ……“ # Correct Output: {.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction ……“ # Correct Output: {

Reference 30

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T18:43:07.468520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.735166Z digest=sha256:fba887c46f6eee90344281a421201ef9016857ca5ccf1030feb411e075c85e48

Observation 58468e8c-320e-4bf7-833f-3b1b12c96a92 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.457758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.774417Z digest=sha256:7c52422cab84fac7ea6b249ced0e7370f5915a8441d80a6070cb02535bc8ea1c

Observation ab6a427f-6635-4fad-bc83-2b1e3132c282 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.446360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.778330Z digest=sha256:b6d18ea398cf5f39d000e538a976af10bc939a28d8e3921ffd7c2c2f196ef17f

Observation 755af804-a24b-4eb4-bc90-d85bad884cb4 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.434761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.782440Z digest=sha256:c76f72376fd7f5c20dcdceaf5e18a38d90c20d35b79c16966b4894097e2d047a

Observation 82169ef5-d4ec-4786-aa12-353976715814 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.423469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.786122Z digest=sha256:498db732383d5a55d1a825c1de1d1b2091e50832c5583ec14f15f4517f7e0cbc

Observation 450b5110-1093-4582-8707-39c9472b123a · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.412850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.789890Z digest=sha256:8b063fc96bb519add55a3505d471a9467132c696678af9259e18094892ba3276

Observation c7a7362a-6639-48d7-94f7-0bdd0ef8815b · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.402461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.794200Z digest=sha256:6f71caacfba4f43b3879f931c5f92992532578c63c00f89ef2f1ccfb8868799c

Observation 6fc2ef41-5955-48a5-89e1-dfad9b11f185 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.392365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.798039Z digest=sha256:1009c3ee743fe30095b6b353418c954fdb56f5a39bc5ed3445d3834a1a7ae350

Observation 32cb095f-49e9-4863-ad25-5ea03380443c · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.382348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.801744Z digest=sha256:79c2b64bc0747e94e38f061d4c09ddabeb89526a7f852a978668ac76419f7cd9

Observation c0eb2861-ca4b-404a-aa16-b1f28a64a622 · outbound

This paper cites Plaintiff_Info.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Plaintiff_Info

Reference 47

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T18:43:07.358541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.805464Z digest=sha256:684dae0fb5133b0986cbbc1ecb7d65e92022ef80c501c792a194c24b8d81eec9

Observation e892c2f2-a237-4229-b3b8-69ab08d03f39 · outbound

This paper cites 律师”应当是对话的主导者,应当及时回复原告问题,并主动提出问题引导原告。当原告 表现出担忧时,应当及时给予安慰。当“律师.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 律师”应当是对话的主导者,应当及时回复原告问题,并主动提出问题引导原告。当原告 表现出担忧时,应当及时给予安慰。当“律师

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.347228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.810081Z digest=sha256:aa430e96f4bbe5671e0bf9dbd1079e10f84826b4bc9fcb732c9a1356d0fd670a

Observation b5c37daa-2edb-48ea-bf59-f86fbba6572a · outbound

This paper cites 律师”不会建议“原告.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 律师”不会建议“原告

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.335316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.813983Z digest=sha256:d530414e337891f1e4e944e84f80319b241f7b1c2727d01cbe93bdc160f7cdf0

Observation b0d4aa06-e2c4-47cd-b680-2da7666ac6c0 · outbound

This paper cites 律师”的对话应当逻辑清晰和严谨。律师必须对案件适用的法律、法规及先例有深刻理解, 并能以清晰的方式解释法律概念和法律程序,让原告能够理解复杂的法律条文,并知道如何行动。注意“律师.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 律师”的对话应当逻辑清晰和严谨。律师必须对案件适用的法律、法规及先例有深刻理解, 并能以清晰的方式解释法律概念和法律程序,让原告能够理解复杂的法律条文,并知道如何行动。注意“律师

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.324079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.817641Z digest=sha256:5a8266e2c64cc663bdbcf638fad5015978b3aaf7156c6cd0a1bf43c474f82c73

Observation 5b050404-98cc-4e6f-bca2-86b932cf0ff5 · outbound

This paper cites When the plaintiff shows concern, the lawyer should provide timely reassurance.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction When the plaintiff shows concern, the lawyer should provide timely reassurance

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.312377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.821480Z digest=sha256:6c93196552fc30f23cefa7ed81ea6f933f7f28ae0c245e6e9d3c3327939467e7

Observation a726e3d1-ab60-4228-a507-f3cc992356c0 · outbound

This paper cites plaintiff.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction plaintiff

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.300444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.825723Z digest=sha256:442f42b0e8209cf962384b469f47fcf7746ac5e4f7723455db7dc6e723c5f169

Observation 4798a28e-0726-4c63-95a2-3a22e92efcdd · outbound

This paper cites lawyer" is a legal professional and will not suggest that the.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction lawyer" is a legal professional and will not suggest that the

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.288379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.829667Z digest=sha256:c961c3fdce1e1525ce99d0906d2c13ccf2427dc6220ff32b6878de95b8735743

Observation 5ab90b98-2e8e-4952-990e-bbbd716da7fb · outbound

This paper cites evidence and sources, witness names and addresses,.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction evidence and sources, witness names and addresses,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.276339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.833572Z digest=sha256:6ce585d2001c9654d3144631164514b410a68b67e4e64a1e19dca5f17726af82

Observation 4bca5bde-fe71-4c18-9f6e-3fb25eb81251 · outbound

This paper cites You are a(n) xx, xx, xx, xx, xx person.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction You are a(n) xx, xx, xx, xx, xx person

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.263999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.837457Z digest=sha256:88ec2783e9f5c3d11e2b948973b94c82520224a6a0ffa63af18d9a9b3fd02687

Observation 3dd5ea05-cd54-4f6f-8dcc-e8bdf88b02cb · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.253823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.841448Z digest=sha256:6e3e935d1f1dbfc03a9a5a7e3e6bb551e0564b0aa5e1b5b613e77e2ebe1f9150

Observation 8afc8c05-559d-4719-9d3f-08f5ebf0e45c · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.242878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.845324Z digest=sha256:2ce3b0dfdaa4b50f4eb3c0904c1bba4a34e000b55bed40870a610ef6a08c3d82

Observation 29569086-dcbf-415d-b676-42e81db8314b · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.232164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.849004Z digest=sha256:d1c6503e9f03906044a4285e00884717bdc697facb3c3965188028a6ee81906e

Observation 0bf96d49-a575-48b3-ae37-6e0885619b28 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.220237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.852897Z digest=sha256:5936c3865b04c8aed3de6ac5e2fd11dd3adee28bda9f782e16e9a4d0cc2c3a66

Observation a5070cc1-2ec6-4c37-8f4e-2df2a01389c3 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.208543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.856981Z digest=sha256:3028543f8ef84faad90fc1d74fefdf6716d229a38723e23be30e7e1f4ad4297c

Observation fd83ef9a-d2ca-4160-aeeb-cd08137d6505 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.196563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.860771Z digest=sha256:49a3eeffa66639d8be480609f13a40ee1e0bef13c9fbffdee711b8cb4da2053f

Observation 2baac65a-d552-43f9-ad2b-def52dc2ec47 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.184067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.863955Z digest=sha256:523b74f6c477d308a02ad106717078d1269da044530ac95fb2a47f33da0b670b

Observation 8ebe45ac-4b80-47e3-b4d4-1f70a0124a54 · outbound

This paper cites 你是一个xx、xx、xx、xx、xx的人.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 你是一个xx、xx、xx、xx、xx的人

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.172195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.867167Z digest=sha256:210a68904704eb506aae7e5fad604a79d70aff6328fd75f332f33671e627a309

Observation 1df61f49-b069-45aa-b9a3-57c3d120c1a8 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.160286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.870388Z digest=sha256:6de4c66cb74a0039feeb3e36954cf07edd255b3f00c6505e67005566dab4e963

Observation 09e25f38-12de-4d2d-ba69-23b80f59eaa4 · outbound

This paper cites 性格特点”、“说话语气特点.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 性格特点”、“说话语气特点

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.146465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.873828Z digest=sha256:07bdb96a2018329163b2412ebf0f7e97b1f8940886940adc3d40bee2af7c8ec4

Observation ded76acd-53f2-4f71-bca8-b04120d26b5d · outbound

This paper cites 说话语气特点”、“说话内容特点.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction 说话语气特点”、“说话内容特点

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.134546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.877013Z digest=sha256:292377f93f16efe75090d075cc8ae5d9327e09b46d19ad25bd311d75dd2a6f76

Observation 110a4407-e337-4b15-a99b-6ae880e400eb · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.122179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.880562Z digest=sha256:b196cecef5521ef886d6b3e49bd343c54be03cd5c8a301cda7601bc05cb9d183

Observation 184df84f-5997-4c77-ad11-6bf682c4b16f · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 68

Resolution
parse uncertain
raw_fallback, observed 2026-08-08T18:43:07.108946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.884522Z digest=sha256:34cf753538cc20a2a512614ea4d3b957ed8dea97f5d4bc5b83c18c91d6186c30

Observation 2737a11d-6df0-4070-aba5-dba162e76b76 · outbound

This paper cites an unresolved cited work.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:43:07.095219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.888004Z digest=sha256:f8af28cdd98c46b669ec4d04714ff5acb0b1909f7985534f6ae884275757dd3d

Observation 22421cec-e1d8-4782-95bb-97b87e2186bb · outbound

This paper cites InternLM2 Technical Report.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction InternLM2 Technical Report

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-08T18:43:06.626057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:43:06.626057Z digest=sha256:e08ec2bbed67b97417827581a9818ac9c6ad0d7616758a1f564cd08f0934baa1

Observation cd82cd6b-9cab-4568-ada9-342f3e59cbfb · outbound

This paper cites In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13153–13187.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 13153–13187

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:43:07.743433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-08T18:43:06.641355Z digest=sha256:073094accd4ea88c0898298e3876608f841c6026cdf3ae970b0b7a9115d9681d

Observation d0fa36c2-b8cb-45fc-95e4-a228d6b01c4c · outbound

This paper cites AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator.

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T18:43:06.631539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:43:06.631539Z digest=sha256:21de67071f52f8793642809e95d2a04129c2cf12f8192c26cb98ead5240a4178

Pith citing papers

Observation cbfd3a53-c9a5-4a26-a81d-03d64907c8cb · inbound

A Survey on Agent Workflow -- Status and Future cites this paper.

A Survey on Agent Workflow -- Status and Future Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T05:52:41.902019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:52:41.902019Z digest=sha256:3982175cd453caf26e3acfba9d58a8c9a369ef8cc5fb5c104e200cd04aa0ba8b

Observation e9dbcc7e-b8ff-4e25-9b68-2344a89622ed · inbound

PL-CA: A Parametric Legal Case Augmentation Framework cites this paper.

PL-CA: A Parametric Legal Case Augmentation Framework Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T16:21:48.456167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.456167Z digest=sha256:a6aac47802456b2ad83c64c4d2775ad92813906a0149530139251f07b8a1976c

Observation af49ca69-0119-4fd2-8a9e-5e9982a855ae · inbound

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't cites this paper.

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:49.662568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T19:24:48.212344Z digest=sha256:3c01c229566ff60a79d58c17d2ef06c612c99729ef9dd480bd8af002f54b98d3

Observation e8e80377-cacb-43cf-a197-977529977d4e · inbound

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents cites this paper.

LegalWorld: A Life-Cycle Interactive Environment for Legal Agents Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:59:19.809605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-26T20:50:25.070041Z digest=sha256:1ed40f67bf4c51e862f08b7b00139b9d816f520e84cfd79ee0d408bf9d55c759