Paper Citation Record · LEDGER

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2509.08218.

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

pith.paper-citation-record.v1
2509.08218 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:03:45.730206Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T17:11:50.540450Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:13:01.153039Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy27
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7632207-8ba0-4299-b1b3-db9f19d9c366 · outbound

This paper cites International Journal of Indian Psychology12(3) (2024).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India International Journal of Indian Psychology12(3) (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:51.448827Z

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.

Observation 059fc1f6-dcf8-42e6-a0b0-43ea049929e6 · outbound

This paper cites Harlequin, ??? (2023).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Harlequin, ??? (2023)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:51.270653Z

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.

Observation 73d66324-a0ec-488c-bb29-d00080ad599f · outbound

This paper cites Review of Agrarian Studies12(1), 161–173 (2022) 14.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Review of Agrarian Studies12(1), 161–173 (2022) 14

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:51.121437Z

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.

Observation 295de14d-3b37-4b5c-8868-5c3b180a0fca · outbound

This paper cites https://neural-times.vercel.app/.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India https://neural-times.vercel.app/

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:50.728563Z

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.

Observation 5dd613ba-6176-4b25-892c-b7bd8c3831ef · outbound

This paper cites In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:50.533064Z

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.

Observation a2d48b5f-6205-4dc7-8095-c53179743406 · outbound

This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media, vol.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the International AAAI Conference on Web and Social Media, vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:50.295329Z

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.

Observation de27cc26-a6a8-412a-bb84-21b25b431f32 · outbound

This paper cites In: Proceedings of the 15th International Conference on Intelligent User Interfaces, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the 15th International Conference on Intelligent User Interfaces, pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:50.070453Z

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.

Observation 54bfebb7-9623-478c-a65f-6006d53715ce · outbound

This paper cites In: Handbook of Digital Journalism: Perspectives from South Asia, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Handbook of Digital Journalism: Perspectives from South Asia, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:49.874197Z

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.

Observation 9ea3cf14-b832-4155-9a98-cfa0814474e7 · outbound

This paper cites Journal of biomedical informatics151, 104606 (2024).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Journal of biomedical informatics151, 104606 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:49.668887Z

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.

Observation cdb6e4cf-5206-4963-a225-ab2497467d39 · outbound

This paper cites Applying Automatic Text Summarization for Fake News Detection.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Applying Automatic Text Summarization for Fake News Detection

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T21:03:46.034757Z

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.

Observation 793476ff-c691-4b92-94a8-ceea78865a60 · outbound

This paper cites In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:49.481782Z

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.

Observation d05c6225-cdf7-4a66-8c88-24d7e1fce32b · outbound

This paper cites Expert Systems with Applications192, 116292 (2022).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Expert Systems with Applications192, 116292 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:49.259348Z

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.

Observation 409dee3a-b88e-43f3-adf2-00b8900b7f22 · outbound

This paper cites In: 2024 IEEE International Conference on Artificial Intelligence Testing (AITest), pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: 2024 IEEE International Conference on Artificial Intelligence Testing (AITest), pp

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:44.163916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebb9f26-90bd-4cc6-ae47-525b2291110d · outbound

This paper cites Multi-LLM Text Summarization.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Multi-LLM Text Summarization

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T21:03:45.949188Z

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.

Observation 62f0c9cd-ddcc-4cac-89cc-f3ca13b63975 · outbound

This paper cites Authorea Preprints (2025).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Authorea Preprints (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:49.045341Z

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.

Observation bcd21346-6abb-43ea-8e07-cb3e617c06e9 · outbound

This paper cites A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T21:03:45.859517Z

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.

Observation d1f78af5-6755-40f3-ae45-1315acdc0765 · outbound

This paper cites FineSurE: Fine-grained Summarization Evaluation using LLMs.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India FineSurE: Fine-grained Summarization Evaluation using LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:44.490351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af3a1426-b13c-4a9f-b2ae-da7841e30806 · outbound

This paper cites In: Pacific Rim International Conference on Artificial Intelligence, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Pacific Rim International Conference on Artificial Intelligence, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:48.720294Z

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.

Observation 5dcd0944-1eda-42b5-8f20-9833945f4150 · outbound

This paper cites Journalism Practice3(1), 1–12 (2009).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Journalism Practice3(1), 1–12 (2009)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:48.438961Z

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.

Observation e7fdcbf8-6497-4682-8fc8-bede0590e24d · outbound

This paper cites European journal of communication6(4), 499–522 (1991).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India European journal of communication6(4), 499–522 (1991)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:48.221619Z

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.

Observation 4fddfb57-985e-47a1-bb10-a99d4bda13fd · outbound

This paper cites Journalism Quarterly69(2), 436–446 (1992).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Journalism Quarterly69(2), 436–446 (1992)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:47.917275Z

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.

Observation 251343fb-cd28-4876-91a0-2856080d593c · outbound

This paper cites American Journal of Industrial and Business Management04, 567–572 (2014).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India American Journal of Industrial and Business Management04, 567–572 (2014)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:47.733065Z

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.

Observation 526548bb-b113-4d5f-9320-0772683b181a · outbound

This paper cites International Journal of Human-Computer Interaction30, 343–368 (2014).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India International Journal of Human-Computer Interaction30, 343–368 (2014)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:47.425671Z

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.

Observation 6966fb1f-fe16-40f5-aeb5-57edae6b4a51 · outbound

This paper cites Social Science Quarterly101(2), 811–824 (2020).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Social Science Quarterly101(2), 811–824 (2020)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:47.190330Z

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.

Observation 2ea1b96b-e0b7-49b2-82a2-bb3e4d24c2cb · outbound

This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media, vol.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the International AAAI Conference on Web and Social Media, vol

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:50.965965Z

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.

Observation 2315e2fb-1b4a-43bd-b96e-4cd233bdf87e · outbound

This paper cites Reuters (2024).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Reuters (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:47.062297Z

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.

Observation 3cfe37de-696b-4d95-9bf9-1eb2f027e509 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:45.434388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc49ce1-4ba1-4771-be05-a176831c03a8 · outbound

This paper cites The Llama 3 Herd of Models.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India The Llama 3 Herd of Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:45.510601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd289363-8c67-443a-9490-fd8d62bc9f5b · outbound

This paper cites https://drive.google.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India https://drive.google

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.884795Z

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.

Observation eba1c8ef-e933-4449-bbe5-71a4520861e5 · outbound

This paper cites Newspaper Research Journal42(2), 162–181 (2021).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Newspaper Research Journal42(2), 162–181 (2021)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.640184Z

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.

Observation b3615eb0-5bc7-4ca3-bb99-d82f948d41a6 · outbound

This paper cites Humanities and Social Sciences Communications11(1), 1–12 (2024).

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Humanities and Social Sciences Communications11(1), 1–12 (2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.501033Z

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.

Observation c6f08245-c4ac-4c71-b411-c4ed5f54836e · outbound

This paper cites In: Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.318985Z

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.

Observation 422ce5b4-8f8b-45bd-ab8a-8d4970bea74c · outbound

This paper cites In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.250636Z

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.

Observation effad047-627a-467d-b2e0-39a79aab3a55 · outbound

This paper cites Reading in a foreign language 23(1), 84–101 (2011) 17.

PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India Reading in a foreign language 23(1), 84–101 (2011) 17

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:03:46.123978Z

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.

Pith citing papers

Observation 2ec7234e-c444-4c17-b75a-da3e46e4772f · inbound

Method for Aggregating Unstructured Data Using Large Language Models cites this paper.

Method for Aggregating Unstructured Data Using Large Language Models PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:13:01.154435Z

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.