{"as_of":"2026-08-19T09:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e4530455b1635b3b278d245ffcb30d422ca555e5deffd8f8c956fafa50c24c3","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:54:13.229201Z","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":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-12T19:54:19.056145Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.10242","last_updated":"2024-11-15T14:55:01Z","snapshot_observed_at":"2026-08-14T19:16:19.935555Z","submitted_at":"2024-11-15T14:55:01Z","title":"Measuring Non-Adversarial Reproduction of Training Data in Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:54:19.056145Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2411.10242"},"observation_digest":"sha256:46cf1bb76529d37295a32446589def8db00cbf919889d01097fb3dd2a6145e5a","observation_id":"719ccea3-9be8-4c00-8a33-b6b979c14df3","resolution":{"observed_at":"2026-08-12T19:54:19.056145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-08T20:08:32.592916Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05148","last_updated":"2025-02-07T18:26:01Z","snapshot_observed_at":"2026-08-18T01:29:06.026050Z","submitted_at":"2025-02-07T18:26:01Z","title":"An Annotated Reading of 'The Singer of Tales' in the LLM Era","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T20:08:32.592916Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2502.05148"},"observation_digest":"sha256:262acce38b9eacb5df8ab87fd1a6e80a997848c53d201938e2edf8398a923d5c","observation_id":"ea5d328e-95e1-4de9-ba74-8f5fe8ca1bf5","resolution":{"observed_at":"2026-08-08T20:08:32.592916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-07T19:07:25.285924Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.10200","last_updated":"2025-02-14T14:50:05Z","snapshot_observed_at":"2026-08-18T11:46:24.014084Z","submitted_at":"2025-02-14T14:50:05Z","title":"Dynamic Reinforcement Learning for Actors","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T19:07:25.285924Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2502.10200"},"observation_digest":"sha256:91fb9cc516bb30c63bb43c87da717de291243a17c3fe361efa25e52f9dc8ff3a","observation_id":"baa3fa8b-e7ae-4a56-b9f9-4bfb0d0b1347","resolution":{"observed_at":"2026-08-07T19:07:25.285924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-16T11:54:13.229201Z","title":"Ai as humanity's salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.14452","last_updated":"2025-07-17T18:57:22Z","snapshot_observed_at":"2026-08-18T13:13:41.535566Z","submitted_at":"2025-04-20T01:59:46Z","title":"ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T11:54:13.229201Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2504.14452"},"observation_digest":"sha256:ae0c829383b2efe397e188d00d6bde95ae6c675064bae1de3ebd6434aa25d8c3","observation_id":"578bf052-fdd1-4cc3-8e2a-128f14a270c8","resolution":{"observed_at":"2026-08-16T11:54:13.229201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-16T05:10:56.194438Z","title":"Ai as humanity's salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.00047","last_updated":"2025-09-13T00:52:27Z","snapshot_observed_at":"2026-08-18T20:45:59.654155Z","submitted_at":"2025-04-30T03:41:55Z","title":"Base Models Beat Aligned Models at Randomness and Creativity","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T05:10:56.194438Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2505.00047"},"observation_digest":"sha256:67e8702f9031985bdb6c025e7e595ad42e7edad94f3e463325b545f5d87fca42","observation_id":"730c2e3d-32d4-4745-b16c-fcdd7516a742","resolution":{"observed_at":"2026-08-16T05:10:56.194438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":"2410.04265","doi":"10.48550/arxiv.2410.04265","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":"arXiv (Cornell University)","work_id":"6e9b192d-a91f-4543-8f44-68964762a2f5","year":2024},"citing_paper":{"arxiv_id":"2505.24864","last_updated":"2025-05-30T17:59:01Z","snapshot_observed_at":"2026-08-07T07:17:16.299213Z","submitted_at":"2025-05-30T17:59:01Z","title":"ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T20:52:33.620041Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2505.24864"},"observation_digest":"sha256:25fc6aa636d79d6611deecfcf7e3ac60bd7622087dbf3db6a20eeb22306c5463","observation_id":"203275a8-477a-4007-8762-adad24320538","resolution":{"observed_at":"2026-05-18T20:52:33.719088Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-07T12:01:41.825345Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text.arXiv preprint arXiv:2410.04265, 2024","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00814","last_updated":"2025-06-06T02:23:52Z","snapshot_observed_at":"2026-08-13T13:11:15.503271Z","submitted_at":"2025-06-01T03:32:36Z","title":"GuessBench: Sensemaking Multimodal Creativity in the Wild","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T12:01:41.825345Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2506.00814"},"observation_digest":"sha256:d8ba62d4e92e9fa01ab3a354b5961103ecb1175fc67b430d7db70baf044419e5","observation_id":"4d1f55ea-0412-431e-a04f-c415d63ba13d","resolution":{"observed_at":"2026-08-07T12:01:41.825345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-07T11:11:58.352594Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03310","last_updated":"2025-06-03T18:50:22Z","snapshot_observed_at":"2026-08-18T11:15:08.070857Z","submitted_at":"2025-06-03T18:50:22Z","title":"The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative Writing","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T11:11:58.352594Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2506.03310"},"observation_digest":"sha256:40bebb2f1c1b015033047e7cfe7b3004e270423212e788b129e3567843c0139d","observation_id":"b91aa658-2c14-47f2-814b-ff0e734235e0","resolution":{"observed_at":"2026-08-07T11:11:58.352594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-04T08:34:26.375678Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text.CoRR, abs/2410.04265, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.20091","last_updated":"2026-07-01T21:48:10Z","snapshot_observed_at":"2026-08-13T07:02:52.621824Z","submitted_at":"2025-10-23T00:22:10Z","title":"CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T08:34:26.375678Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2510.20091"},"observation_digest":"sha256:b67d3c036a576df554db0eb43e29e650ee85ecfbcd29560207d6b82b765c1239","observation_id":"5fb3a617-7b3e-4565-8673-1d1bcf4aebde","resolution":{"observed_at":"2026-08-04T08:34:26.375678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":"2410.04265","doi":"10.48550/arxiv.2410.04265","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":"arXiv (Cornell University)","work_id":"6e9b192d-a91f-4543-8f44-68964762a2f5","year":2024},"citing_paper":{"arxiv_id":"2604.18031","last_updated":"2026-04-20T09:57:43Z","snapshot_observed_at":"2026-07-31T18:51:54.770007Z","submitted_at":"2026-04-20T09:57:43Z","title":"How Creative Are Large Language Models in Generating Molecules?","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-10T04:23:20.161703Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2604.18031"},"observation_digest":"sha256:5f9e225f8a046814e760657a1f52a7ea3e2eacb8ff644120924606f02667bfb8","observation_id":"78d4bb73-55a8-45f7-9e0f-610d87ddb175","resolution":{"observed_at":"2026-05-11T12:01:00.360216Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":"2410.04265","doi":"10.48550/arxiv.2410.04265","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":"arXiv (Cornell University)","work_id":"6e9b192d-a91f-4543-8f44-68964762a2f5","year":2024},"citing_paper":{"arxiv_id":"2605.06540","last_updated":"2026-05-07T16:38:17Z","snapshot_observed_at":"2026-08-14T23:34:56.821489Z","submitted_at":"2026-05-07T16:38:17Z","title":"Ex Ante Evaluation of AI-Induced Idea Diversity Collapse","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T09:49:57.122084Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2605.06540"},"observation_digest":"sha256:bc464fdd78094e386fa99ad919a824b324ee05464af2f31c61ba67e334fa2819","observation_id":"82b87f04-3392-4850-b76f-7a8801b5a879","resolution":{"observed_at":"2026-05-11T20:16:09.429718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text","version":2},"cited_work":{"arxiv_id":"2410.04265","doi":"10.48550/arxiv.2410.04265","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04265","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ai as humanity’s salieri: Quantifying linguistic creativity of language models via systematic attribution of machine text against web text","venue":"arXiv (Cornell University)","work_id":"6e9b192d-a91f-4543-8f44-68964762a2f5","year":2024},"citing_paper":{"arxiv_id":"2606.10113","last_updated":"2026-06-08T19:46:00Z","snapshot_observed_at":"2026-08-16T14:13:46.484120Z","submitted_at":"2026-06-08T19:46:00Z","title":"Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-27T16:09:08.317910Z"},"links":{"cited_paper":"/paper/2410.04265","citing_paper":"/paper/2606.10113"},"observation_digest":"sha256:954afe0af7ca17afed965ef9e7f9a02c1dc4c17cf63d81a6f6a86c48884bda7d","observation_id":"f2a8945d-a3df-4742-ad3f-0641bf32cbd1","resolution":{"observed_at":"2026-06-27T16:11:02.665717Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.04265/citation-record","integrity":"/paper/2410.04265/integrity","json":"/paper/2410.04265/citation-record.json","paper":"/paper/2410.04265"},"outbound":[],"paper":{"arxiv_id":"2410.04265","last_updated":"2025-01-12T05:32:57Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T11:14:43.019131Z","submitted_at":"2024-10-05T18:55:01Z","title":"AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.04265."}