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Paper Citation Record · LEDGER

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System

As of 13 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2607.18825.

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

pith.paper-citation-record.v1
2607.18825 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:17:32.191766Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

100 of 105 outbound references displayed

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  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
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Outbound references

Observation b3e8999c-9177-4237-836f-8a3f6f788cad · outbound

This paper cites Computer Science Review , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Computer Science Review , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T14:17:20.206548Z digest=sha256:440e0d8cef8d94ffbb544faf7affbd15f647a54a304d9f2f3507a73662714347

Observation 90284781-cea8-4633-9599-4d4a835e2b30 · outbound

This paper cites Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence , articleno =.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence , articleno =

Reference 2

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Observation 0f560ed4-cd3c-491e-8a1e-fcd7d54bfaed · outbound

This paper cites Advances in neural information processing systems , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in neural information processing systems , volume=

Reference 3

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Observation d5698765-49bf-40f4-ae14-06bfb163eea7 · outbound

This paper cites QuAC : Question Answering in Context.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System QuAC : Question Answering in Context

Reference 4

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Observation 7ece8a26-fcd1-40fe-b699-b04a93159194 · outbound

This paper cites International Journal of Research and Reviews in Information Sciences (IJRRIS) , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System International Journal of Research and Reviews in Information Sciences (IJRRIS) , volume=

Reference 5

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Observation b73d22e7-ab8c-4e96-8823-08262b2b8988 · outbound

This paper cites Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Reference 6

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Observation e6e4f6e4-80ae-46af-b6d2-47e8badb2258 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Observation ac8be700-a7d1-47fc-b61c-81c67f12dcf3 · outbound

This paper cites Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 8

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Observation b37a2e33-0b60-4cb8-bd4c-e37e48153669 · outbound

This paper cites Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

Reference 9

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Observation 48944dbd-f0be-4914-812a-a8b5ed8abf06 · outbound

This paper cites BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA

Reference 10

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Observation 063f5f35-1986-40eb-8267-bb379671dbf3 · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 11

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Observation 230414aa-442d-4bed-b5c0-b23f2c9d491c · outbound

This paper cites The Review of Socionetwork Strategies , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System The Review of Socionetwork Strategies , volume=

Reference 12

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Observation 5b74ff70-76f4-4f19-9789-5a47759f2634 · outbound

This paper cites New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15--17, 2020, Revised Selected Papers 12 , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System New Frontiers in Artificial Intelligence: JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, Virtual Event, November 15--17, 2020, Revised Selected Papers 12 , pages=

Reference 13

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Observation 715007c1-3c9b-421a-8ac8-ec6f403290aa · outbound

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 14

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Observation adffef27-41b7-43a8-be57-27979149e605 · outbound

This paper cites Twelfth international workshop on Juris-informatics (JURISIN 2018) , year=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Twelfth international workshop on Juris-informatics (JURISIN 2018) , year=

Reference 15

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Observation c38c772a-e343-4033-a6b8-ce3d2561d0bd · outbound

This paper cites LatinX in Natural Language Processing Research Workshop , year=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System LatinX in Natural Language Processing Research Workshop , year=

Reference 16

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Observation ecdb1eef-29cb-4404-80a9-a1a26384acb7 · outbound

This paper cites Question Answering for Privacy Policies: Combining Computational and Legal Perspectives.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Reference 17

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Observation 18662fd8-f93d-4c49-bf49-f19c39ad1f3e · outbound

This paper cites Ninth International Workshop on Juris-informatics (JURISIN 2015) , year=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Ninth International Workshop on Juris-informatics (JURISIN 2015) , year=

Reference 18

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Observation 9f095f66-7fb6-4336-8177-cd65205c632f · outbound

This paper cites Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10--14, 2022, Proceedings, Part II , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10--14, 2022, Proceedings, Part II , pages=

Reference 19

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Observation ad3dd60e-3548-43c8-a8aa-526f44a1da91 · outbound

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2023 , eprint=

Reference 20

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2020 , eprint=

Reference 21

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2021 , eprint=

Reference 22

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Observation 252d2406-6950-48e0-b506-6d309ec796da · outbound

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2020 , eprint=

Reference 23

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Observation 58ebc3ac-4b8d-4c1d-abc7-612b13fb3b99 · outbound

This paper cites KPQA : A Metric for Generative Question Answering Using Keyphrase Weights.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System KPQA : A Metric for Generative Question Answering Using Keyphrase Weights

Reference 24

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2020 , publisher=

Reference 25

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Observation b70a3493-9de3-460f-829e-192ee980647f · outbound

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Generative AI+ Law Workshop , year=

Reference 26

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Observation 7971769f-9742-4175-9f19-32ee4b0d2009 · outbound

This paper cites LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 27

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Observation 300bc282-557f-4bb2-a4b1-06f646a6029c · outbound

This paper cites A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering

Reference 28

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Observation 2022d3f3-3cc1-400e-9ce3-8deea04d8b5e · outbound

This paper cites Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives

Reference 29

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in Neural Information Processing Systems , volume=

Reference 30

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in neural information processing systems , volume=

Reference 32

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System B leu: a Method for Automatic Evaluation of Machine Translation

Reference 33

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System ROUGE : A Package for Automatic Evaluation of Summaries

Reference 34

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the 34th International Conference on Neural Information Processing Systems , articleno =

Reference 35

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AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in neural information processing systems , volume=

Reference 36

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Observation 86ec0da0-34d7-4bce-8123-bf2eb393f20b · outbound

This paper cites Aho and Jeffrey D.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Aho and Jeffrey D

Reference 37

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source=arxiv_source observed=2026-08-01T14:17:24.661266Z digest=sha256:d37d6ed543088e15512e998327d59671d66d4447b4e534da31fc6a7622b9cc08

Observation 2d6b5ee9-9463-4dad-a6f3-25eedd542220 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 38

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source=arxiv_source observed=2026-08-01T14:17:24.771670Z digest=sha256:66477b3a7a934c4d2ec3f8a87cae1c345f97988755f335fbd2d95769a19eb992

Observation 39200e18-905e-4063-b1b6-618fdce9b512 · outbound

This paper cites Proceedings of the Natural Legal Language Processing Workshop 2021 , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the Natural Legal Language Processing Workshop 2021 , pages=

Reference 39

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source=arxiv_source observed=2026-08-01T14:17:24.872588Z digest=sha256:958edd7b889b4ed39b82726bde0691bec23c8d37c6844016cbf0775cb36d2e91

Observation 0779cf23-f5e0-4024-b27b-b5d52af13fcb · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in Neural Information Processing Systems , volume=

Reference 40

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source=arxiv_source observed=2026-08-01T14:17:24.969157Z digest=sha256:52fce07bf93d60cfa7f24f0ff9b4ab13d5841aeef6a0e6445bde74b1f9ea9ecf

Observation dadc9bed-60ea-48ed-821b-4f1b01fac5af · outbound

This paper cites Information Processing & Management , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Information Processing & Management , volume=

Reference 41

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source=arxiv_source observed=2026-08-01T14:17:25.282822Z digest=sha256:a23fb43071b2c59647557836147cad084106e4978ed5cf928575d6bef038beea

Observation 1f1a25ce-01d5-490d-a468-f2e8eda8fb40 · outbound

This paper cites Chinese Computational Linguistics: 19th China National Conference, CCL 2020, Hainan, China, October 30--November 1, 2020, Proceedings 19 , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Chinese Computational Linguistics: 19th China National Conference, CCL 2020, Hainan, China, October 30--November 1, 2020, Proceedings 19 , pages=

Reference 42

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source=arxiv_source observed=2026-08-01T14:17:25.347554Z digest=sha256:4c2ed128805baca423602092a22ad0c83d9ee676d43f9bc205caf9d2cd6eb6a5

Observation f75cffb8-2dc2-4f5d-b82a-d055e2c89ae5 · outbound

This paper cites ILDC for CJPE : I ndian Legal Documents Corpus for Court Judgment Prediction and Explanation.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System ILDC for CJPE : I ndian Legal Documents Corpus for Court Judgment Prediction and Explanation

Reference 43

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source=arxiv_source observed=2026-08-01T14:17:25.408829Z digest=sha256:1ca76fb5bffe0b62dd06f6f0dcb67c8927ee06f8124b50fa770a66be26fdd02b

Observation 4fa84c9e-ce36-4c17-803e-face591811fd · outbound

This paper cites CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

Reference 44

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source=arxiv_source observed=2026-08-01T14:17:25.470826Z digest=sha256:666eb5766565a4c697f1185630d25a7d8b36d78db3fd255941d12c2749b7ffcc

Observation e5069859-7823-429a-afa5-b64c125b6608 · outbound

This paper cites HLDC : H indi Legal Documents Corpus.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System HLDC : H indi Legal Documents Corpus

Reference 45

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source=arxiv_source observed=2026-08-01T14:17:25.563355Z digest=sha256:f37fe0a8c735bd633a66ee455ddf0eea6751ed42f131d7d328a1106f3f156711

Observation c0711d8e-6e5b-4f85-ae17-0a2c1650edd1 · outbound

This paper cites Artificial Intelligence and Law , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Artificial Intelligence and Law , volume=

Reference 46

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source=arxiv_source observed=2026-08-01T14:17:25.661507Z digest=sha256:5c05754adaf92b5d04dc53d796042c998bb1697f2a49b737d692577e6a6673ac

Observation 33c80697-d4a9-4c32-82cc-79a4ea8c79f3 · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-01T14:17:25.720353Z digest=sha256:95749761e1391ffd271dacfeed98982a874cff2be95cec319706a9a6d9019af3

Observation 578632fb-df02-4dc2-b405-7d5aaadde933 · outbound

This paper cites Legal Knowledge and Information Systems: JURIX , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Legal Knowledge and Information Systems: JURIX , pages=

Reference 48

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source=arxiv_source observed=2026-08-01T14:17:25.798379Z digest=sha256:78625901e8cf01f630a14cde341779b2d85ee8225564603de84fb1cc61463137

Observation 527013ec-aaa1-40ac-a94f-3ebb0e9b980a · outbound

This paper cites Semantic Segmentation of Legal Documents via Rhetorical Roles.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Semantic Segmentation of Legal Documents via Rhetorical Roles

Reference 49

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source=arxiv_source observed=2026-08-01T14:17:25.913623Z digest=sha256:474550744864a7194be6f2c7ea055d1b4c09bd508a582c6f3079c666be401904

Observation 8a5fa6eb-6546-4fbe-acd1-ec6b161e56b3 · outbound

This paper cites U-CREAT: Unsupervised Case Retrieval using Events extrAcTion.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System U-CREAT: Unsupervised Case Retrieval using Events extrAcTion

Reference 50

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source=arxiv_source observed=2026-08-01T14:17:25.973303Z digest=sha256:06798e502211307477c2e1fba6ecbb48ea4a7fba5ec18b6dfa03335b5b0890fa

Observation 335ec26c-93cb-4cf2-ac14-129cb4f9be03 · outbound

This paper cites JSAI International Symposium on Artificial Intelligence , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System JSAI International Symposium on Artificial Intelligence , pages=

Reference 51

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source=arxiv_source observed=2026-08-01T14:17:26.032745Z digest=sha256:1d9f96ba9cdbfebef53a4a9ac24e3e7254f8a96753c7e4973d5c0684f735ce16

Observation a15e65f3-9ae9-404d-aab0-096331efbda5 · outbound

This paper cites Corpus for Automatic Structuring of Legal Documents.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Corpus for Automatic Structuring of Legal Documents

Reference 52

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source=arxiv_source observed=2026-08-01T14:17:26.099642Z digest=sha256:d27a6eae7e463b2a36642cdcfb240751b391c7afc654cc53d6b80f58c51a3ca8

Observation 40314d09-f0c3-4b6a-81d8-34ee3cc2ae12 · outbound

This paper cites Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) , pages=

Reference 53

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source=arxiv_source observed=2026-08-01T14:17:26.166676Z digest=sha256:647416dbec05420886494013ab7bb39beba0349f2dc58c41844ee098eef093dc

Observation 757a0d4b-30e8-408d-a40b-5fd576e71b33 · outbound

This paper cites Proceedings of 19th International Conference on Artificial Intelligence and Law - ICAIL 2023 , year =.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of 19th International Conference on Artificial Intelligence and Law - ICAIL 2023 , year =

Reference 54

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source=arxiv_source observed=2026-08-01T14:17:26.235110Z digest=sha256:d953ea735a28360ab39b937fa5a4de888e9a7163cec277cc18f5070118535017

Observation b9f52aa5-b84d-4e26-982b-39bae6e401b9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in Neural Information Processing Systems , volume=

Reference 55

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source=arxiv_source observed=2026-08-01T14:17:26.281880Z digest=sha256:2a5acf9bfcd24ec2d2f063638d984afa13b8305effaec38802862345dc1de5ca

Observation ad796a02-1778-4341-829a-a0869b0eb38b · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2020 , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Findings of the Association for Computational Linguistics: EMNLP 2020 , pages=

Reference 56

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source=arxiv_source observed=2026-08-01T14:17:26.376812Z digest=sha256:cc677d564be2d564330e761f63e64e0e88dc1d60276d8d471241dba87d49efe6

Observation ee206d7e-ede1-4ebf-a210-54e5d112f48e · outbound

This paper cites Proceedings of the eighteenth international conference on artificial intelligence and law , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the eighteenth international conference on artificial intelligence and law , pages=

Reference 57

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source=arxiv_source observed=2026-08-01T14:17:26.489644Z digest=sha256:d8982beed25269e34881a64431f46bf26a7cf52c0c0e068e44f297072db758d8

Observation 06b51eae-6f77-4a1d-951d-2f92fa192cab · outbound

This paper cites Gordon (ed.), Legal Knowledge and Information Systems.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Gordon (ed.), Legal Knowledge and Information Systems

Reference 58

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source=arxiv_source observed=2026-08-01T14:17:26.677343Z digest=sha256:64a2f5e30115700fe723968075f5dcb0121758d688a081813937d7db1aa57157

Observation 07c2c6b0-ce07-4fa0-b267-6053417ebcbd · outbound

This paper cites Proceedings of the 3rd International Conference on Information Science and Systems , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the 3rd International Conference on Information Science and Systems , pages=

Reference 59

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source=arxiv_source observed=2026-08-01T14:17:26.808766Z digest=sha256:20e971ebbdc96baea9de92ab7db45e9af0e09ad240e4eb641667a19a8ed01453

Observation 343be64c-a103-4bb8-b82e-23176f78a181 · outbound

This paper cites 2020 International Conference on Smart Electronics and Communication (ICOSEC) , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2020 International Conference on Smart Electronics and Communication (ICOSEC) , pages=

Reference 60

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source=arxiv_source observed=2026-08-01T14:17:26.939743Z digest=sha256:f15b4738fd9ae79465ef4f50a632d907eb04e6857bb6556983f12104942a5729

Observation 899dedeb-6001-43ae-a0d6-c371c56a7cf2 · outbound

This paper cites 2004 , organization=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2004 , organization=

Reference 61

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source=arxiv_source observed=2026-08-01T14:17:27.054338Z digest=sha256:698be1f12d5665e6ed64509d6a1d954f4549f45900cb519bdcaebb855632de8b

Observation 61f45b57-077f-47eb-b959-366f0193b8fa · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 62

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source=arxiv_source observed=2026-08-01T14:17:27.211725Z digest=sha256:8a5acb4940e4d79f204f34698142e4641e077bb374f4feae9a6444cf25461e7f

Observation 060acbf5-406e-4f2b-b59a-e9f7c204cf78 · outbound

This paper cites Minds and Machines , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Minds and Machines , volume=

Reference 63

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source=arxiv_source observed=2026-08-01T14:17:27.332362Z digest=sha256:b1401863ea2ca7616de7dd6c66cf198ad6367c1a0cca064453e8f498b7de4cb4

Observation c6eda509-9e92-47c4-9e8a-c5d6c54ba733 · outbound

This paper cites OpenAI blog , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System OpenAI blog , volume=

Reference 64

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source=arxiv_source observed=2026-08-01T14:17:27.493294Z digest=sha256:9f355f1c75ec65dd02c97ac981d23f8f01ebb6233e9caa63c7dbadb39f22f935

Observation 2af16034-e2c6-4c1c-8239-7b10555027dd · outbound

This paper cites 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) , pages=

Reference 65

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source=arxiv_source observed=2026-08-01T14:17:27.635362Z digest=sha256:1fbacd2f818dc07c97b2f5b359d09aa50a9ba173a5c1547f8570cb4eef54d55d

Observation 5e306607-05ca-4e34-a57a-2a57bb5addd1 · outbound

This paper cites Proceedings of COLING 2016, the 26th international conference on Computational Linguistics: System Demonstrations , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of COLING 2016, the 26th international conference on Computational Linguistics: System Demonstrations , pages=

Reference 66

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source=arxiv_source observed=2026-08-01T14:17:27.771998Z digest=sha256:68da27fcfda9d457fcd32fcd59f15b2691a4801098610cb2b8096ee4e3e68295

Observation 2017d7e4-4205-45de-bdf3-587c3027dc79 · outbound

This paper cites Fine-tune BERT for Extractive Summarization.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Fine-tune BERT for Extractive Summarization

Reference 67

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source=arxiv_source observed=2026-08-01T14:17:27.928663Z digest=sha256:d74fa2c82084f20422611bec0a0421f98fc8a7b44bd67335374a1b8fed753b8a

Observation 36806b30-1a0a-4428-bdd2-2c95266baf9c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 68

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source=arxiv_source observed=2026-08-01T14:17:28.096324Z digest=sha256:cce490c18c2d38fdac95b6ab9b8ffa293cfe2241d9440551ab5191162833571e

Observation dfc56a5e-de26-47f1-af07-25d3e2eab0b4 · outbound

This paper cites Proceedings of NAACL-HLT , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Proceedings of NAACL-HLT , pages=

Reference 69

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source=arxiv_source observed=2026-08-01T14:17:28.225458Z digest=sha256:5afc8932d44f278bd2b7a5ea2a25c452f871f33be272a3add06885aa8ee6714c

Observation bc6c5423-d5c2-49ba-8f8f-75e11131535e · outbound

This paper cites Fact-based Court Judgment Prediction.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Fact-based Court Judgment Prediction

Reference 70

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source=arxiv_source observed=2026-08-01T14:17:28.384819Z digest=sha256:fb565390bcfa1ee1f972c7a9872c9bab286f4133215d879f9f7b4169642af858

Observation dd7314d1-8509-4f5c-a682-be079fc01755 · outbound

This paper cites Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

Reference 71

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source=arxiv_source observed=2026-08-01T14:17:28.523781Z digest=sha256:9aab21ab7a46a1a84b5c12fc2e02e762494bad1bb75b8e4afbf4a6a274f2aa72

Observation 16477e8f-a79c-443f-9ac7-9c5683e49f80 · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-08-01T14:17:28.673752Z digest=sha256:fe231235b5a44c0e4a69c10945047274af8f7a531630d376a2a693e7a126e07d

Observation 5da6e775-518e-4a20-af77-4ff75c0b979d · outbound

This paper cites Chandra and Dexter C.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Chandra and Dexter C

Reference 73

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source=arxiv_source observed=2026-08-01T14:17:28.817520Z digest=sha256:309775f1cfab993f27f9efde2ef432ffbe838b0739118cc647977edc2adf2169

Observation 8c6709a3-012a-4136-8b7a-fc116fe5af5f · outbound

This paper cites Scalable training of.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Scalable training of

Reference 74

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source=arxiv_source observed=2026-08-01T14:17:28.954280Z digest=sha256:e2fab9dbdbe6b6f186bbe0a4a8ebf0a4692963ee484e10d7269f37415303a3df

Observation b6abac22-bf62-499f-ba13-d1e95cc97c48 · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 75

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Observation b7d03d79-92c3-4bd6-9492-1136a3fb2fda · outbound

This paper cites Tetreault , title =.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Tetreault , title =

Reference 76

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Observation 7cdc61ed-c75c-4425-aed1-40033570cf54 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 77

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Observation 9cac180d-a884-4a37-8c3d-b9d90c016d0a · outbound

This paper cites 2024 , eprint=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2024 , eprint=

Reference 78

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source=arxiv_source observed=2026-08-01T14:17:29.388713Z digest=sha256:c73aa68e8e4cb512a7a1d4a8914d700b7b659d8f65ce20a62e90bd95f04b758a

Observation e3c87036-8e23-43a0-b70f-fd4adaf349ad · outbound

This paper cites One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Reference 79

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source=arxiv_source observed=2026-08-01T14:17:29.504094Z digest=sha256:92b6c2dadd27ee4af268e53f97cbb9a21eb7e01bf12b503d8aee1035528e041f

Observation 700ab607-9bcd-4753-9e62-35eb589b986a · outbound

This paper cites Advances in neural information processing systems , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Advances in neural information processing systems , volume=

Reference 80

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Observation a7f2e604-fc7b-4ddf-a78b-59284c282803 · outbound

This paper cites RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering

Reference 81

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source=arxiv_source observed=2026-08-01T14:17:29.802234Z digest=sha256:6e6bc99acdd50e5dd94bc6d2293ee0d39aabc5c1c0740e5358d13d4ea06bce57

Observation afed87f3-3d58-43a4-beba-6397e49d627a · outbound

This paper cites DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 82

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source=arxiv_source observed=2026-08-01T14:17:29.953054Z digest=sha256:1a7ecbd16188a4e2cdae7f9702078278dc063422702f5461d75ca6754deb38de

Observation 38a441f5-3ee3-4cc2-895d-989571c4982d · outbound

This paper cites , author=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System , author=

Reference 83

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source=arxiv_source observed=2026-08-01T14:17:30.095768Z digest=sha256:04e3f6b2ef5a67908bd022e3de2698b042bec78e0cd5943569e799d480d8bf40

Observation 6a2605a3-5a9c-47f4-a888-e3c3a4f91eaa · outbound

This paper cites Legal Judgment Reimagined: P red E x and the Rise of Intelligent AI Interpretation in I ndian Courts.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Legal Judgment Reimagined: P red E x and the Rise of Intelligent AI Interpretation in I ndian Courts

Reference 84

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source=arxiv_source observed=2026-08-01T14:17:30.287336Z digest=sha256:40985f19079807009524d7792e24bee5fb63987257fae1089136edcc2692d836

Observation b7ea635d-6d1d-4af6-8c19-9d1d4528dc05 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Finetuned Language Models Are Zero-Shot Learners

Reference 85

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source=arxiv_source observed=2026-08-01T14:17:30.402102Z digest=sha256:345e5727547c9f77f7b31d58aef458226ea792d82d241e7a508d10ec9691b10d

Observation c3078af3-0cdd-40b9-96bb-3eda1c08aa51 · outbound

This paper cites 2024 , journal=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System 2024 , journal=

Reference 86

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source=arxiv_source observed=2026-08-01T14:17:30.547897Z digest=sha256:2b892972dd0774464258c89357f9c0b06ddbbb73994c4222b5536e89c8d97610

Observation 8a5e9080-91af-4489-b497-053f2ee6593d · outbound

This paper cites Mixtral of Experts.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Mixtral of Experts

Reference 87

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source=arxiv_source observed=2026-08-01T14:17:30.632009Z digest=sha256:c7aa0b2745f448ede5b178031a53f35247340f9de3521fb13f3932469efe766a

Observation 847f691b-862e-4451-9767-955d443c1cd2 · outbound

This paper cites NPJ science of learning , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System NPJ science of learning , volume=

Reference 88

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source=arxiv_source observed=2026-08-01T14:17:30.729722Z digest=sha256:10968ce45070f1cc22e5cb97b747e7207564df332953271ed177e0b7bd2061dd

Observation e364ccef-e8ad-4025-ba06-033d0a52f7bd · outbound

This paper cites International Conference on Case-Based Reasoning , pages=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System International Conference on Case-Based Reasoning , pages=

Reference 89

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source=arxiv_source observed=2026-08-01T14:17:30.887271Z digest=sha256:40271f2065fbaa5778281973328c3a73d59f7d49d47bf4726ddb8940736b0d9f

Observation 7b0227e5-b9a6-4e62-a269-3e8747de9bfd · outbound

This paper cites Science and engineering ethics , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Science and engineering ethics , volume=

Reference 90

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source=arxiv_source observed=2026-08-01T14:17:30.982837Z digest=sha256:bd3d12478705914a6c756105ef616bc40ed00eceb1156beaca2260c28f7c6a86

Observation 0febe00f-c390-4859-bd94-e49bf53a15fb · outbound

This paper cites Artificial Intelligence , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Artificial Intelligence , volume=

Reference 91

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source=arxiv_source observed=2026-08-01T14:17:31.092449Z digest=sha256:128e253f25a8a4120d339b2adc8439a91477114210f6ae343c7cd419637807b2

Observation 7a51064e-2bac-4cde-895c-0eb98dfe5b1f · outbound

This paper cites International Review of Law, Computers & Technology , volume=.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System International Review of Law, Computers & Technology , volume=

Reference 92

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source=arxiv_source observed=2026-08-01T14:17:31.215358Z digest=sha256:77a5bc6b83b3e124574ce1034a4d35c72d1999ffdb1de425523c3eda11831cab

Observation 6adeec6f-2616-4449-b503-0e78501f0bae · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-01T14:17:31.350915Z digest=sha256:ae279f9819c7470eba2e505175f5e01f127e5e86f322218d0a10274bca92555b

Observation 22f94a64-2bd7-4d1a-b068-cee9a5faad9e · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 94

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source=arxiv_source observed=2026-08-01T14:17:31.471689Z digest=sha256:f626823439d6e10c8c34e971ce0a061f98add133c264b7480962553dc6a72d61

Observation a103e770-9e67-4e5f-9c18-9125032a5be8 · outbound

This paper cites Quasimonotonicity, regularity and duality for nonlinear systems of partial differential equations.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Quasimonotonicity, regularity and duality for nonlinear systems of partial differential equations

Reference 95

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source=arxiv_source observed=2026-08-01T14:17:31.634199Z digest=sha256:6d8fb5fcac5e79f5fc9648fdc5887a49ea0dd6e678e40593367869e730410e2f

Observation ed7b3ab7-9eff-4f4c-99d8-61943ec5a74f · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 96

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source=arxiv_source observed=2026-08-01T14:17:31.734425Z digest=sha256:439c677bd447fa924d7904b7cf55d4a1bf756c251f389ea7a674a95a6b39e9ba

Observation 3179faac-46c4-41fd-ac42-b33a322102d1 · outbound

This paper cites Software engineering---from auxiliary to key technologies.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Software engineering---from auxiliary to key technologies

Reference 97

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source=arxiv_source observed=2026-08-01T14:17:31.847850Z digest=sha256:89fb0c934ae6cf43639afaf3413cfdd3f15e318b438d5dbd7ccefc031ccd870a

Observation 74a63f01-a75a-4c68-8fd3-7b768ebfe8ef · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 98

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source=arxiv_source observed=2026-08-01T14:17:31.958784Z digest=sha256:e5b383117aef93eb072f775f69052fc3f79f3a164a750a22970d16197fd6a64c

Observation 741cf745-f878-4eb3-8177-a4bb74b9453b · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 99

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source=arxiv_source observed=2026-08-01T14:17:32.063093Z digest=sha256:0b292afa399508c99443961b7f1ea31ed6fd8921e9b543f4c5495df7ba7af6cd

Observation ec57fd32-59e6-4ac6-8b72-3fbe95e02990 · outbound

This paper cites an unresolved cited work.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System Unresolved cited work

Reference 100

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Pith citing papers

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