Pith. sign in

Paper Citation Record · LEDGER

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.06828.

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

pith.paper-citation-record.v1
2608.06828 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:06:02.331963Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53dd88a8-c2db-46ad-9d65-bfd34414e8cb · outbound

This paper cites Foundations and trends®in information retrieval4(1-2), 1–174 (2009).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Foundations and trends®in information retrieval4(1-2), 1–174 (2009)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.659365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.235848Z digest=sha256:aa2ce7d4b661391fbf4cd48e3698fa941e31ec8cdd853337c128a74d19d85368

Observation 941b5b6b-4435-4375-a0d9-7de5aafac53a · outbound

This paper cites In: Burstein, J., Doran, C., Solorio, T.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Burstein, J., Doran, C., Solorio, T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.643947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.241098Z digest=sha256:3fe84124322450a035b1afada064a444d803aa34afabb64c3cff4372db3cc9aa

Observation 89c5b950-0074-4440-9dea-d854812b46d9 · outbound

This paper cites an unresolved cited work.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.245946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.245946Z digest=sha256:388549c820313ad69876f5a2ff5a20f6e782972f35ac30c5b0ded289258d4c12

Observation b50f91f3-47a8-4b35-9a7e-a2f675008bfb · outbound

This paper cites Advances in neural information processing systems 33, 9459–9474 (2020).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Advances in neural information processing systems 33, 9459–9474 (2020)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.250720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.250720Z digest=sha256:fdcb92c360825642c03cc754a501a621b469433efa39a353b979b71013149e02

Observation 5e1e6fe3-e900-4cea-b98e-4db83e94d28a · outbound

This paper cites In: 11 International Conference on Smart Computing and Informatics, pp.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: 11 International Conference on Smart Computing and Informatics, pp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.608824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.255798Z digest=sha256:836e848c381f53a9da34d98505806b1929e580e87c33de572ce8edde607f3b68

Observation ab4c2a9c-e99c-4ddf-ae55-e988e161ecea · outbound

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

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments LLaMA: Open and Efficient Foundation Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.260838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.260838Z digest=sha256:2120c895165cf4654a8cb813ffc0ec88d41964237ac254b0def64521e661053e

Observation 0cd2ea35-4f33-438e-ac13-d464ca7b1485 · outbound

This paper cites Human-Intelligent Systems Integration7(1), 87–98 (2025).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Human-Intelligent Systems Integration7(1), 87–98 (2025)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.593752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.266428Z digest=sha256:506efc02f2f2843260ffc5d7e91361db3f9cd2835ca7aa65b5391da99653041a

Observation 35155769-f87a-49a6-b2a1-5bbb2b8f707e · outbound

This paper cites Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.270853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.270853Z digest=sha256:83f6438e176f871d1e7f47b20660e7af28e4382b141fcad2e2f271b157535bff

Observation 29721fdc-0c7f-402e-9152-59223df57d2f · outbound

This paper cites IEEE Access (2025).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments IEEE Access (2025)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.578810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.275556Z digest=sha256:00cc6e9830bc336580b7a863df4f92eb95832948021cf1f66a100fa97099a573

Observation 8567a33e-7428-4625-a6fe-725a9d10a20b · outbound

This paper cites an unresolved cited work.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:06:02.564219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.280169Z digest=sha256:8ab4bb26a9eb847ca9661b94e099b7e384b19591fd79f75a69582bbae709cfcb

Observation ff677c20-cbb2-4a0e-847e-70a31bba25fe · outbound

This paper cites Applied Artificial Intelligence40(1), 2626097 (2026).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Applied Artificial Intelligence40(1), 2626097 (2026)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.548689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.284855Z digest=sha256:f1dfdbbb81fbc39b086d334c38ec638fa32a186b98db0d51e9fd2c9e2668d1ef

Observation a78ac2f9-7b22-4206-ba81-d1dd11f9759c · outbound

This paper cites Development of a Legal Document AI-Chatbot.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Development of a Legal Document AI-Chatbot

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T20:06:02.416236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.289468Z digest=sha256:1d4cdd1851ad055fa56fdb560e73d6eb10a9cf8c0959444fa49a0293833747df

Observation 43effaa3-35f5-4f4b-9223-7497225a4412 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.533032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.294517Z digest=sha256:f327558aea011e1d28d1d3660b5bf803fbf1c3b309c661c085af56b35cf2be89

Observation 57d3487f-60ca-448a-adcf-17b446c8a937 · outbound

This paper cites In: European Conference on Information Retrieval, pp.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: European Conference on Information Retrieval, pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.517675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.299037Z digest=sha256:a20f2454eda137707435ab5d268cccee491e6c2a83dcebfffa7b046527ab14f1

Observation c52f32c3-9c9c-4b17-9e29-d1729c8ee8f3 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: NAACL 2025, pp.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Findings of the Association for Computational Linguistics: NAACL 2025, pp

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.502583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.303475Z digest=sha256:b38972640aa0793053969b438d93b690fee23958d40fee5ee080b59af7d6470a

Observation 655d2f3d-5086-4af4-85d5-d467ff03b5d8 · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.307915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.307915Z digest=sha256:b28cf8f1585a82a052e75b691ec406d3c2742dcc5d740722c2de4c31026c50a1

Observation cccc68a7-3481-4da4-9b93-355d04307351 · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments SaulLM-7B: A pioneering Large Language Model for Law

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.312793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.312793Z digest=sha256:8000c661dca6e5be977d2f1f1a4d81611d5f1e3cbb5d2bbf117a30259974a335

Observation e17e2889-e689-42b4-9793-b358f29ab809 · outbound

This paper cites In: Proceedings of the Natural Legal Language Processing Workshop 2022, pp.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Proceedings of the Natural Legal Language Processing Workshop 2022, pp

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.486714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.317770Z digest=sha256:87a9b8e828ecadd3d077fc204c2441b832db13749f3c7efc094f96f6aa0d7689

Observation 4a893a45-d873-4668-a17c-038b4c17e5ae · outbound

This paper cites In: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, pp.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, pp

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.322473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.322473Z digest=sha256:f5650db0d1c05f2413cef988a1e0f2100919a9adf0363a44f95d1de5818b9c66

Observation 933652ae-6762-4322-b663-083970811dc8 · outbound

This paper cites Journal of Big Data10(1), 127 (2023).

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments Journal of Big Data10(1), 127 (2023)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:06:02.462201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:06:02.326877Z digest=sha256:1bf2fdab3fd112c8a023ead6013904ad56f993eb691a909d893f2dee69200a8f

Observation f14faf08-2d19-409e-bc87-866d678a71ed · outbound

This paper cites In: Aletras, N., Chalkidis, I., Barrett, L., Goant ,˘ a, C., Preot,iuc-Pietro, D.

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments In: Aletras, N., Chalkidis, I., Barrett, L., Goant ,˘ a, C., Preot,iuc-Pietro, D

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:06:02.331963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:06:02.331963Z digest=sha256:95e8ee659b0c97a34506736ad7880a2f8f77f23dbc64f0e57ae6bfef146b1dc5

Pith citing papers

No inbound Pith citation observations are available.