{"as_of":"2026-08-07T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c1531ed97a1f9b36e829fe25c348db3d4386f573a3483728c85978a196f22423","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T21:13:14.743741Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-06T21:13:14.743741Z","title":"Learning to reason for long-form story generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00726","last_updated":"2025-08-27T22:56:13Z","snapshot_observed_at":"2026-08-07T16:07:47.854815Z","submitted_at":"2025-07-01T13:16:34Z","title":"Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T21:13:14.743741Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2507.00726"},"observation_digest":"sha256:358049412269f95242374a3e2f515707bfab6b3ef00a9e3114233f3d70bdf9d8","observation_id":"a27acc06-c949-4c8c-8792-6b2e0fbe7e01","resolution":{"observed_at":"2026-08-06T21:13:14.743741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-06T17:52:01.587596Z","title":"org/abs/2503.22828","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.10616","last_updated":"2025-07-25T11:09:53Z","snapshot_observed_at":"2026-08-06T17:46:01.198994Z","submitted_at":"2025-07-13T19:04:17Z","title":"Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:52:01.587596Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2507.10616"},"observation_digest":"sha256:de63c16eb5375ad40d5f9ad49c6d9eeaf90d692257bf7d7cdc92ec24b0c780ba","observation_id":"aefa57ea-aeb5-415b-8397-01a463fa3bba","resolution":{"observed_at":"2026-08-06T17:52:01.587596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-02T18:06:39.773455Z","title":"arXiv preprint arXiv:2503.22828 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.16410","last_updated":"2026-07-21T17:46:36Z","snapshot_observed_at":"2026-08-05T15:21:26.230532Z","submitted_at":"2026-03-17T11:45:04Z","title":"PlotTwist: A Creative Plot Generation Framework with Small Language Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T18:06:39.773455Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2603.16410"},"observation_digest":"sha256:dddc7a9f566c147f8f19fbcc56e367d75cc8a61c48fbe60cd9bde945ef582cb6","observation_id":"c3c0a4ee-ab0d-4674-a0e0-a4c00805dfa1","resolution":{"observed_at":"2026-08-02T18:06:39.773455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":"2503.22828","doi":"10.48550/arxiv.2503.22828","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"ArXiv.org","work_id":"7a981b4d-3650-4273-9feb-281eade10e38","year":2025},"citing_paper":{"arxiv_id":"2605.08503","last_updated":"2026-05-08T21:36:23Z","snapshot_observed_at":"2026-07-06T23:20:43.010758Z","submitted_at":"2026-05-08T21:36:23Z","title":"NARRA-Gym for Evaluating Interactive Narrative Agents","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-12T02:23:54.295733Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2605.08503"},"observation_digest":"sha256:bcc83bb7c424e6399e870e49edcc342bc451e5fa8fe98060abcce2d950bb7652","observation_id":"20ea069d-3c79-456d-8092-b44c749f5cba","resolution":{"observed_at":"2026-05-12T02:26:15.835838Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":"2503.22828","doi":"10.48550/arxiv.2503.22828","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"ArXiv.org","work_id":"7a981b4d-3650-4273-9feb-281eade10e38","year":2025},"citing_paper":{"arxiv_id":"2605.14169","last_updated":"2026-05-13T22:48:24Z","snapshot_observed_at":"2026-08-01T14:27:47.850473Z","submitted_at":"2026-05-13T22:48:24Z","title":"BOOKMARKS: Efficient Active Storyline Memory for Role-playing","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-15T04:51:44.394368Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2605.14169"},"observation_digest":"sha256:a75e9e2b708049cca1d3fa91ac92dbf955329ae4295629592b6c035b0ccd2ead","observation_id":"aa2b65e9-d250-4546-b41c-92b5604b04a8","resolution":{"observed_at":"2026-05-15T04:55:02.353178Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":"2503.22828","doi":"10.48550/arxiv.2503.22828","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"ArXiv.org","work_id":"7a981b4d-3650-4273-9feb-281eade10e38","year":2025},"citing_paper":{"arxiv_id":"2606.02293","last_updated":"2026-06-01T14:16:13Z","snapshot_observed_at":"2026-07-06T23:42:44.661608Z","submitted_at":"2026-06-01T14:16:13Z","title":"AI as a Tool for Simulation-Based Experiments in Literary Studies","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-28T14:54:14.909995Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2606.02293"},"observation_digest":"sha256:d65746d62bd5ae254cd101a12a1433eb0a2f8ca4948d3e1a9c50a5a802e7a36c","observation_id":"240912b8-8ab2-45c0-a046-912c712c4777","resolution":{"observed_at":"2026-06-28T15:02:19.072678Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation","version":2},"cited_work":{"arxiv_id":"2503.22828","doi":"10.48550/arxiv.2503.22828","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.22828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"ArXiv.org","work_id":"7a981b4d-3650-4273-9feb-281eade10e38","year":2025},"citing_paper":{"arxiv_id":"2606.09393","last_updated":"2026-06-08T12:09:20Z","snapshot_observed_at":"2026-07-06T23:48:44.159537Z","submitted_at":"2026-06-08T12:09:20Z","title":"CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T17:21:38.543724Z"},"links":{"cited_paper":"/paper/2503.22828","citing_paper":"/paper/2606.09393"},"observation_digest":"sha256:386f8dfd9446f5e6c517c5c674659340fd25f8716a81b2323775d31aeec3e3fc","observation_id":"d0c922e2-00f3-4cdf-b562-48aecb2ecd1c","resolution":{"observed_at":"2026-07-03T00:17:28.998812Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.22828/citation-record","integrity":"/paper/2503.22828/integrity","json":"/paper/2503.22828/citation-record.json","paper":"/paper/2503.22828"},"outbound":[],"paper":{"arxiv_id":"2503.22828","last_updated":"2025-09-08T02:43:27Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T16:29:20.966350Z","submitted_at":"2025-03-28T18:48:26Z","title":"Learning to Reason for Long-Form Story Generation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.22828."}