{"as_of":"2026-08-08T13:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:564b36d0c25c1ba4ec5f5a2c134bb7ff69df6267e60ea8562c4b2fd918c38f20","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:41:58.852085Z","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":"2026-05-11T23:08:34.770696Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":"2407.00908","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2407.00908 , year=","venue":null,"work_id":"840a8a86-12ab-469e-9296-b49deddb6f09","year":2024},"citing_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-07-31T01:42:39.468673Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"reference_index":210,"source":"pdf_text","source_observed_at":"2026-05-11T23:08:34.312466Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2412.05579"},"observation_digest":"sha256:b8c493fd706f647946da251b68ecba69154691d03cb13fd144377c4b7eedce6d","observation_id":"1fa4ef17-dc9c-4f52-b323-1539b1556982","resolution":{"observed_at":"2026-05-11T23:08:34.776507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-08-06T20:41:58.852085Z","title":"doi:10.48550/ arXiv.2407.00908","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02145","last_updated":"2025-07-02T21:02:41Z","snapshot_observed_at":"2026-08-06T20:34:17.239888Z","submitted_at":"2025-07-02T21:02:41Z","title":"Reasoning or Not? A Comprehensive Evaluation of Reasoning LLMs for Dialogue Summarization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:41:58.852085Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2507.02145"},"observation_digest":"sha256:ee12ee6efba564953ac3ebe0fa614eca62059c14eb461e19b08d7c60a674a8ff","observation_id":"1f87a4d8-ac74-4873-b525-7f49a10ad371","resolution":{"observed_at":"2026-08-06T20:41:58.852085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-08-06T16:18:57.521246Z","title":"Finesure: Fine-grained summarization evaluation using llms,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22910","last_updated":"2025-07-18T13:40:01Z","snapshot_observed_at":"2026-08-06T16:11:49.091478Z","submitted_at":"2025-07-18T13:40:01Z","title":"Large Language Models in the Travel Domain: An Industrial Experience","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:18:57.521246Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2507.22910"},"observation_digest":"sha256:bce2a22898a7e85744a750a09afa0dbb8ff18bac14e2914fe40fcd8acf0cabfe","observation_id":"4ef6134c-8871-460c-a6c0-339b36c44190","resolution":{"observed_at":"2026-08-06T16:18:57.521246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-08-05T11:39:47.836951Z","title":"Finesure: Fine-grained summarization evaluation using LLMs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02401","last_updated":"2025-09-02T15:12:10Z","snapshot_observed_at":"2026-08-06T15:33:33.913142Z","submitted_at":"2025-09-02T15:12:10Z","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:47.836951Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2509.02401"},"observation_digest":"sha256:b662fc3c8a7e01ddf0c2e4685c3ca97d2a876fcf3ed9a491e13f837ed938a51a","observation_id":"e0eebb50-afde-45e5-b646-8ad908a3811c","resolution":{"observed_at":"2026-08-05T11:39:47.836951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-08-04T21:03:44.490351Z","title":"arXiv preprint arXiv:2407.00908 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08218","last_updated":"2025-09-10T01:22:39Z","snapshot_observed_at":"2026-08-07T11:49:58.571241Z","submitted_at":"2025-09-10T01:22:39Z","title":"PolicyStory: Leveraging Large Language Models to Generate Comprehensible Summaries of Policy-News in India","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T21:03:44.490351Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2509.08218"},"observation_digest":"sha256:d5383b88b4f213049e59bdfe75aa536e4ca8aa413a574259a12ec1a481538787","observation_id":"d1f78af5-6755-40f3-ae45-1315acdc0765","resolution":{"observed_at":"2026-08-04T21:03:44.490351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":"2407.00908","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2407.00908 , year=","venue":null,"work_id":"840a8a86-12ab-469e-9296-b49deddb6f09","year":2024},"citing_paper":{"arxiv_id":"2604.17197","last_updated":"2026-04-19T01:58:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-19T01:58:35Z","title":"Learning to Control Summaries with Score Ranking","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-10T06:41:27.954392Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2604.17197"},"observation_digest":"sha256:c913135a9837817a4eb2728ca2f0b38d146af817923d7f1b43ae9486fc1adf14","observation_id":"2cba2e52-f20e-4ce5-87f6-9b00285a885d","resolution":{"observed_at":"2026-05-10T06:41:36.342964Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs","version":3},"cited_work":{"arxiv_id":"2407.00908","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.00908","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2407.00908 , year=","venue":null,"work_id":"840a8a86-12ab-469e-9296-b49deddb6f09","year":2024},"citing_paper":{"arxiv_id":"2604.17200","last_updated":"2026-04-19T02:04:14Z","snapshot_observed_at":"2026-07-06T23:04:23.730478Z","submitted_at":"2026-04-19T02:04:14Z","title":"Calibrating Model-Based Evaluation Metrics for Summarization","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-05-10T06:36:55.334742Z"},"links":{"cited_paper":"/paper/2407.00908","citing_paper":"/paper/2604.17200"},"observation_digest":"sha256:cf74f0786bce311ea9c32b125f65cdaec8d1a1f5e5e019d3335a275e56abaf0d","observation_id":"c0a981f1-4df2-4fb1-b07a-96ac63a22f36","resolution":{"observed_at":"2026-05-10T06:41:36.982022Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.00908/citation-record","integrity":"/paper/2407.00908/integrity","json":"/paper/2407.00908/citation-record.json","paper":"/paper/2407.00908"},"outbound":[],"paper":{"arxiv_id":"2407.00908","last_updated":"2024-07-22T04:45:11Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:39:16.236400Z","submitted_at":"2024-07-01T02:20:28Z","title":"FineSurE: Fine-grained Summarization Evaluation using LLMs"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.00908."}