{"as_of":"2026-08-09T16:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f867d2ba2b3d67f6bffb57a9d5041b95d6b6abbae5e7892be8e697f002ad53c","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T13:33:57.533127Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T18:57:16.528178Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-09T13:33:57.533127Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02061","last_updated":"2026-07-28T04:34:05Z","snapshot_observed_at":"2026-08-09T13:27:02.735069Z","submitted_at":"2025-02-04T07:17:54Z","title":"Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T13:33:57.533127Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2502.02061"},"observation_digest":"sha256:64d774a4bd3bfa2e265d31897e3acf20f52cb7f9db1fa3f9d922ee0443b57430","observation_id":"20b0f34a-db32-4f8e-b90f-dbc9367402ae","resolution":{"observed_at":"2026-08-09T13:33:57.533127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-08T19:48:54.001943Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05331","last_updated":"2025-02-13T17:27:15Z","snapshot_observed_at":"2026-08-08T23:36:49.714472Z","submitted_at":"2025-02-07T21:13:27Z","title":"Fine-Tuned LLMs are \"Time Capsules\" for Tracking Societal Bias Through Books","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T19:48:54.001943Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2502.05331"},"observation_digest":"sha256:57cbe360b60d09f8739f013d69321bebbcc38063510eea562b1d0116a03221b9","observation_id":"757942b7-cfab-40fe-b8ae-a0d129846483","resolution":{"observed_at":"2026-08-08T19:48:54.001943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-06T22:39:25.708291Z","title":"Text summarization using large language models: a comparative study of mpt-7b-instruct, falcon-7b-instruct, and openai chat-gpt models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21106","last_updated":"2025-06-26T09:04:55Z","snapshot_observed_at":"2026-08-08T16:29:58.763757Z","submitted_at":"2025-06-26T09:04:55Z","title":"PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:39:25.708291Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2506.21106"},"observation_digest":"sha256:d36013c825e390008bc9040273595b3d029404895604be957c2572f9a87b20f7","observation_id":"af9d0373-083d-4b90-816b-9d41bfb8ad33","resolution":{"observed_at":"2026-08-06T22:39:25.708291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-06T21:47:40.170916Z","title":"Bekbayev, A., Chun, S., Dulat, Y ., and Yamazaki, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.23377","last_updated":"2025-07-12T17:57:39Z","snapshot_observed_at":"2026-08-09T13:24:57.994206Z","submitted_at":"2025-06-29T19:26:37Z","title":"Perspective Dial: Measuring Perspective of Text and Guiding LLM Outputs","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T21:47:40.170916Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2506.23377"},"observation_digest":"sha256:6f4e323f42602924e8615b6afb56c0e9798d3dc45bca41be133049c686ecf29c","observation_id":"d5c343aa-2184-4db3-a5d4-9e15396dc163","resolution":{"observed_at":"2026-08-06T21:47:40.170916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-06T18:22:15.848717Z","title":"Text summarization using large language models: a compara- tive study of mpt-7b-instruct, falcon-7b-instruct, and openai chat-gpt models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08584","last_updated":"2025-07-11T13:29:32Z","snapshot_observed_at":"2026-08-06T18:12:37.071485Z","submitted_at":"2025-07-11T13:29:32Z","title":"To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:22:15.848717Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2507.08584"},"observation_digest":"sha256:e8972b6e3a3221589d0711b576825a431488c4ef8386f7689f8edf54b30889c0","observation_id":"09d3686b-dc35-4f5a-91ea-b8c606d8d4c8","resolution":{"observed_at":"2026-08-06T18:22:15.848717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-06T14:37:00.660732Z","title":"Basyal and M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18607","last_updated":"2025-07-24T17:43:40Z","snapshot_observed_at":"2026-08-06T14:36:59.394749Z","submitted_at":"2025-07-24T17:43:40Z","title":"Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:00.660732Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2507.18607"},"observation_digest":"sha256:f02d7cbcbc9677fb16db20139795b0ea235a01415568e910c2347d3651bf5ae3","observation_id":"f162b1ad-4502-4191-949b-76f6d3ab92fc","resolution":{"observed_at":"2026-08-06T14:37:00.660732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":"2310.10449","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-07-02T18:57:16.528178Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":"645abbfe-9c5d-4e83-a1f6-f8752d940d6c","year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T05:46:00.022722Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:77e908b7b83c8956ff459da560ba93b03392306b3dd873af993c4b890a3f9281","observation_id":"1a3345f1-5055-4adb-bf53-2ab9a33f341b","resolution":{"observed_at":"2026-07-02T08:46:49.049618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":"2310.10449","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-07-02T18:57:16.528178Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":"645abbfe-9c5d-4e83-a1f6-f8752d940d6c","year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T10:37:16.468139Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:ee689a777ecc7f201c954cf244161ceb431388d2bef3b331b71e32fde3e8c8af","observation_id":"72680b23-5437-4b79-8374-d05d5150bc17","resolution":{"observed_at":"2026-06-30T10:44:36.869301Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-07-14T18:27:47.460289Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T18:27:47.460289Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:10b84dd15f1b13b4bebc94aa2a702646bd21383b91a64bbcd070b5ad08d92404","observation_id":"2e90eb7a-f3d3-4bc3-9bb4-898108f0f172","resolution":{"observed_at":"2026-07-14T18:27:47.460289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-08-02T12:24:51.795113Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05494","last_updated":"2026-07-14T18:05:16Z","snapshot_observed_at":"2026-08-07T16:36:08.145737Z","submitted_at":"2026-06-03T22:34:40Z","title":"A Multi-Model Metric-based Selection Framework for Abstractive Text summarization","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T12:24:51.795113Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.05494"},"observation_digest":"sha256:110222c0571e5ae0231cea413618e35b1335aa0201eb60677031b7249529d8ab","observation_id":"48e95cc0-9f37-45c8-9dad-8695c50bd092","resolution":{"observed_at":"2026-08-02T12:24:51.795113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models","version":2},"cited_work":{"arxiv_id":"2310.10449","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.10449","snapshot_observed_at":"2026-07-02T18:57:16.528178Z","title":"Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,","venue":null,"work_id":"645abbfe-9c5d-4e83-a1f6-f8752d940d6c","year":2023},"citing_paper":{"arxiv_id":"2606.07722","last_updated":"2026-08-01T10:04:55Z","snapshot_observed_at":"2026-08-06T23:11:19.926616Z","submitted_at":"2026-06-05T16:04:39Z","title":"Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T21:50:16.817577Z"},"links":{"cited_paper":"/paper/2310.10449","citing_paper":"/paper/2606.07722"},"observation_digest":"sha256:1ac9f5468899ac98ae3f9fb4665380ce288d0d7f8e07e19789d2b870122f84b6","observation_id":"65f00786-590d-4bad-8ac3-d14f812c934a","resolution":{"observed_at":"2026-07-02T18:57:16.530078Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.10449/citation-record","integrity":"/paper/2310.10449/integrity","json":"/paper/2310.10449/citation-record.json","paper":"/paper/2310.10449"},"outbound":[],"paper":{"arxiv_id":"2310.10449","last_updated":"2023-10-17T19:54:16Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T11:13:16.678880Z","submitted_at":"2023-10-16T14:33:02Z","title":"Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.10449."}