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Paper Citation Record · LEDGER

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.01058.

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

pith.paper-citation-record.v1
2507.01058 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:10.048838Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca237dc1-2e1b-46cd-8ff5-ce9526cdf883 · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:08.191396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57f9c54b-c350-4918-80e6-493250401af1 · outbound

This paper cites How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:08.251968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:08.251968Z digest=sha256:3dc27d9f815febbf395dfeb89422c85e45175a20d4007b03c7ffbf2f8bd5f57a

Observation 3ec10cbf-464d-4ce3-80d7-bf437d8b1c30 · outbound

This paper cites In: Legal Knowledge and Information Systems, pp.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval In: Legal Knowledge and Information Systems, pp

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:12.547018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:08.399013Z digest=sha256:650e75bb95b3b61d663217f3c9b77292b9d73e4a37135f6d4f194d15feeec259

Observation 87904b31-42e6-434c-8871-c7874a43872d · outbound

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

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Advances in neural information processing systems 33, 9459–9474 (2020)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:08.522396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:08.522396Z digest=sha256:3e66863fbeff3494349fb626b7e78b0cef7d933d7aa8aa803e49e4106e24ad0c

Observation c7f1274b-c52a-45bc-96ae-903a1ca40b37 · outbound

This paper cites In: International Conference on Machine Learning, pp.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval In: International Conference on Machine Learning, pp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:12.246296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:08.642910Z digest=sha256:1fafea24db7ce8584be2a9659a3345aaf67a3d0a8772207a172fd3b25280e7be

Observation 1616f11f-0953-4931-8b36-8a7f573629fd · outbound

This paper cites Text Summarization with Pretrained Encoders.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Text Summarization with Pretrained Encoders

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:08.755342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:08.755342Z digest=sha256:807ea12b2fef7724570f1972003efe13b7599987306658a2dbf9a93938ae1252

Observation a3991917-9f57-43dc-8567-cf74e2f07ead · outbound

This paper cites Named Entity Recognition in Indian court judgments.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Named Entity Recognition in Indian court judgments

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:59:10.773115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 975e4d73-8d24-4222-b04b-4c10a77f042c · outbound

This paper cites Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:59:10.526152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.033923Z digest=sha256:7ee0cd1084032ff1f37b2655f104a41d97e55781589ca9a3795f6ec25d6ff894

Observation f49b65de-7fc0-49c7-8c13-e346de6c39d4 · outbound

This paper cites Longformer: The Long-Document Transformer.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Longformer: The Long-Document Transformer

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:09.181408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:09.181408Z digest=sha256:efe92fef8b26c4cfc5612619dd8bb4654850edc70267a5c521da11986b57e8d6

Observation e1e03d1a-6ae8-4501-b620-ff863ac859dd · outbound

This paper cites LEGAL-BERT: The Muppets straight out of Law School.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval LEGAL-BERT: The Muppets straight out of Law School

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:09.289590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:09.289590Z digest=sha256:4bc372a0cced8faa196e9c17a8f5f7d0d0d44fc850fb80a4a4f29e98b109db94

Observation 82c2399b-7fe2-413b-8e22-e5cd768d5c97 · outbound

This paper cites Information Processing & Management 59(1), 102780 (2022).

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Information Processing & Management 59(1), 102780 (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:12.057083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.440077Z digest=sha256:629192523725376bec718bccf2cc908be51551f7427f9676f8795fe1175cb923

Observation 55bd74f4-8527-450d-9deb-d10342c7af51 · outbound

This paper cites Corpus for Automatic Structuring of Legal Documents.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Corpus for Automatic Structuring of Legal Documents

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:59:10.292043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.613519Z digest=sha256:fe1dce8593a01b4bdae491a237d47533715e64f3298fcdad4149a08f1521ade0

Observation 584dd6e8-e399-4705-a715-d8df436ac763 · outbound

This paper cites Journal of King Saud University-Computer and Information Sciences 34(5), 2141–2150 (2022).

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Journal of King Saud University-Computer and Information Sciences 34(5), 2141–2150 (2022)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:11.847034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.703558Z digest=sha256:090657ca7dbdddbf4d4f71c4acfcdfea8d8ab5d207b8676296c52bdb6ea305a8

Observation 7d654f00-a230-4263-ae03-622f27112bf3 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (volume 1: Long Papers), pp.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (volume 1: Long Papers), pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:11.633028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.853422Z digest=sha256:5510ed964bacaf860a8203a344cd0bb9ed9d2821929dbbb60a0ccebeb516b1b7

Observation 46d077db-0f97-45c9-ab0b-519e98fcef45 · outbound

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

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval In: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, pp

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:11.400761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:09.944821Z digest=sha256:41341b382b7d706b373fb5265e2be667a7329104a771abd6aaaba66439d36537

Observation b35f222b-988c-46f2-8c19-831e8e312e51 · outbound

This paper cites In: National Conference on CONTROL INSTRUMENTATION SYSTEM CONFERENCE, pp.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval In: National Conference on CONTROL INSTRUMENTATION SYSTEM CONFERENCE, pp

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:59:11.081310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:59:10.048838Z digest=sha256:2fe0f5694f10c1c9498a177a47cdc653123d122590e8b2bcd18791eb2a1f212d

Pith citing papers

No inbound Pith citation observations are available.