{"as_of":"2026-08-10T10:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:448c961744b6344647b7a96b8d193b4b0ead11ad0566ec4e363777503f8805bc","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:46:26.412802Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T22:23:32.430191Z","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":"2026-07-01T19:36:08.264718Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"cited_work":{"arxiv_id":"2505.17571","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17571","snapshot_observed_at":"2026-07-01T19:36:08.264718Z","title":"Reasoning meets personalization: Unleashing the potential of large reasoning model for personalized generation","venue":null,"work_id":"2ae34505-c286-4184-a0b7-d66c564041d3","year":null},"citing_paper":{"arxiv_id":"2605.31545","last_updated":"2026-05-29T17:00:55Z","snapshot_observed_at":"2026-08-06T08:00:32.641601Z","submitted_at":"2026-05-29T17:00:55Z","title":"Preference-Aware Rubric Learning for Personalized Evaluation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T22:23:32.430191Z"},"links":{"cited_paper":"/paper/2505.17571","citing_paper":"/paper/2605.31545"},"observation_digest":"sha256:a4d853d5b5614c139a7d93dcbecccd591a56cd4b05a0b02f9be0572054530f1c","observation_id":"f20232c5-d3e1-4f33-a7b0-a6cc4c42b2ae","resolution":{"observed_at":"2026-07-01T19:36:08.266332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.17571/citation-record","integrity":"/paper/2505.17571/integrity","json":"/paper/2505.17571/citation-record.json","paper":"/paper/2505.17571"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T14:46:22.190235Z","title":"Achiam, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.190235Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:dd1a9b4d1170a94ff6a234358620b958ac3ce54c5609bea6b64c7b4961480a5f","observation_id":"8cd716cf-6055-4072-a50e-1661d5c097ce","resolution":{"observed_at":"2026-08-07T14:46:22.190235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10403","last_updated":"2023-09-13T20:35:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T17:46:53Z","title":"PaLM 2 Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10403","snapshot_observed_at":"2026-08-07T14:46:22.253331Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.253331Z"},"links":{"cited_paper":"/paper/2305.10403","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:ca0dffa74b6a18551b7fbeae4825f5d61d1e7842677f5429358a1545e8f6a010","observation_id":"d0ef8d13-b4cc-43e7-be8c-a9c511cdf5c2","resolution":{"observed_at":"2026-08-07T14:46:22.253331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:30.530007Z","title":"Araujo and N","venue":null,"work_id":"b9fb2e19-4364-40c6-bb06-18d6e0245d2e","year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.334382Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:2f8485ae1e0392fa67c37423b9dde72f7f339c66bde84f83dc9a175a7c5b803b","observation_id":"5acaab39-63c3-4be6-a60d-ee82521bacc1","resolution":{"observed_at":"2026-08-07T14:46:30.581527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:22.392405Z","title":"Brown, B","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.392405Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:7bffb25093b28c2f36f4feabdeab73bcdbc78397c2f301976e003be29f4d278d","observation_id":"20452d39-4f7a-4167-ad38-9035173be145","resolution":{"observed_at":"2026-08-07T14:46:22.392405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:30.447568Z","title":null,"venue":null,"work_id":"24220a0e-7c3c-483a-812c-10069e9007ec","year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.449430Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:ad0916abab3019fab9b331fcb11073958e1a4337574e544dcc9b5ab0cd811544","observation_id":"c9d56e38-2100-4d14-a1c4-a7a29990d052","resolution":{"observed_at":"2026-08-07T14:46:30.484725Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:30.237028Z","title":"Deepseek-r1","venue":null,"work_id":"e81936e3-507d-4f28-81b4-e076f136c250","year":2025},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.530966Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:d47609ea3c1e6e40c306f5d2af234c6bee5f1e277db6646fc4d02784aa8163be","observation_id":"2c4490b5-ff53-4080-814b-ff918f701747","resolution":{"observed_at":"2026-08-07T14:46:30.340513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T14:46:22.625199Z","title":"Grattafiori, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.625199Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:ad5c70a45e8f170fcac82f9bab12ff0b2ae6469632fa0c372139676bc2d3f331","observation_id":"f2fa5ff7-d1ac-43e7-8669-9164fdbf03cc","resolution":{"observed_at":"2026-08-07T14:46:22.625199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:30.020848Z","title":null,"venue":null,"work_id":"9b784459-f456-4fa2-974f-a2766bdcd926","year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.691161Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:4804c7f080a7914bb776a2cd1850bb6678d57c268b5f71dff7337ed8bb57aaeb","observation_id":"cbb86d61-86c3-4687-b3e5-f054768df0be","resolution":{"observed_at":"2026-08-07T14:46:30.123360Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T14:46:22.788900Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.788900Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:a327082fe95dda727ea2cac271fcd9f059e14dd83363654bf1c319d9d815af86","observation_id":"1c60d297-6329-453e-a95d-0eadd8331605","resolution":{"observed_at":"2026-08-07T14:46:22.788900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:29.791445Z","title":"Huang and K","venue":null,"work_id":"a3ccdd5d-4e10-40b2-9bd4-e00ecbec0ed4","year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.850906Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:d336307354f464ba317426f7272ad79a2a9c4fa3d1a006ab51930b8637d94aa1","observation_id":"ceee63f0-551c-4648-ae15-ca7d314c5035","resolution":{"observed_at":"2026-08-07T14:46:29.900864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:29.566289Z","title":"Huang, S","venue":null,"work_id":"2e84db3e-9a9f-44a9-a2de-fb12edd13f50","year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.918287Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:914640ad0c99ca196a6d6d0f5d2b7e3ac1ccc6b97a25c4d0ae4d811a8b61e345","observation_id":"617b4f8c-3126-4570-88f9-5df1fbc65d06","resolution":{"observed_at":"2026-08-07T14:46:29.667981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16720","last_updated":"2026-04-30T02:46:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-21T18:04:31Z","title":"OpenAI o1 System Card","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16720","snapshot_observed_at":"2026-08-07T14:46:22.999568Z","title":"Jaech, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:22.999568Z"},"links":{"cited_paper":"/paper/2412.16720","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:97cdda3bd6d082ec43e4feb7f5b7cf06dd0d11bd469073f61228e28c9d4bff5a","observation_id":"06863e37-a0bc-42c5-b4ad-8d6de6905cfb","resolution":{"observed_at":"2026-08-07T14:46:22.999568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:29.386728Z","title":null,"venue":null,"work_id":"89e280dd-3024-48f2-8338-1f0eebbc629b","year":2007},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.075849Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:a454579e1ae413b867092ae4db446b14a92a194560868dcf33b89fd6c663169e","observation_id":"bbeaab85-ce42-4464-b9df-7544795a2c3c","resolution":{"observed_at":"2026-08-07T14:46:29.463268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-08-08T06:16:25.839566Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-08-07T14:46:23.148509Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.148509Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:233a99930fe40734f95a7ce7449bf2079311d3e610376f7fa970cfbd876defba","observation_id":"cd471be6-c1be-4660-a3a8-f4a7f7ef96aa","resolution":{"observed_at":"2026-08-07T14:46:23.148509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:29.357859Z","title":null,"venue":null,"work_id":"1d1d1e6c-0742-4ffb-9a1e-a30af77497ba","year":2019},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.150830Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:f84f9d4a6b494be8200b519806bc9b8c2fb1cde4c8ea8767e378394e0788afdf","observation_id":"40b4843f-4ff7-482b-8325-690a3c797de6","resolution":{"observed_at":"2026-08-07T14:46:29.381403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:23.233053Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.233053Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:dae407bbf7eb67479176d773ac925b81d8c9ac55cfa00041fbc6ec4da564c610","observation_id":"33aafd19-d881-47c5-9924-defb03e5717b","resolution":{"observed_at":"2026-08-07T14:46:23.233053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:23.478225Z","title":"Lewis, E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.478225Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:3a065571a9ed04f7f6eed457811be36ddb34f3cbbe116b4c8201f64b57cbd5d5","observation_id":"2ffc4bd9-a758-4e11-92a8-89073c4ffc8b","resolution":{"observed_at":"2026-08-07T14:46:23.478225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:23.595362Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.595362Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:198ece8733c0930478163208d9be2f9a243cc82e0c8e02c2fa22f7bed2f3f647","observation_id":"d5be3b24-333a-4bb3-9dea-e6d142d7b268","resolution":{"observed_at":"2026-08-07T14:46:23.595362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:23.722973Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.722973Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:eeecba8504d68dbd64ae70cf4af99dd35caffb8ddef31de12742e08e099db142","observation_id":"b23b88c8-9f03-40f6-b192-0859f7480a93","resolution":{"observed_at":"2026-08-07T14:46:23.722973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:29.155512Z","title":null,"venue":null,"work_id":"da571f4c-0c99-4811-af7f-14c426884ddc","year":2022},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:23.914932Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:e48e1f64ce4b7339abbb914ebaab5df9424f51461d977e8fed7a4b2619bf0d64","observation_id":"f3106a64-0b59-4d21-ab9b-3e0191c5943e","resolution":{"observed_at":"2026-08-07T14:46:29.251692Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.973115Z","title":null,"venue":null,"work_id":"97db36a2-4ce2-44b3-8e84-c31cc9364103","year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.055895Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:2412056dddf0d27768055c76ef31c67ce748a724ac70f835a853c131b6eea21e","observation_id":"4c60f047-9282-464d-9d06-b48b1f062101","resolution":{"observed_at":"2026-08-07T14:46:29.039390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:24.210101Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.210101Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:135fd580406e44a83be1f6b5b45b63b8cbe37a8b37faf1dbd6930f9939be2af0","observation_id":"1d84a0f5-deec-4be3-8f5c-6fdc0f882062","resolution":{"observed_at":"2026-08-07T14:46:24.210101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20081","last_updated":"2023-10-30T23:40:41Z","snapshot_observed_at":"2026-08-09T10:00:09.746053Z","submitted_at":"2023-10-30T23:40:41Z","title":"Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20081","snapshot_observed_at":"2026-08-07T14:46:24.388065Z","title":"Richardson, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.388065Z"},"links":{"cited_paper":"/paper/2310.20081","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:54ea6a56eb29fe0ea08a1e8b9d62f5e36acf4bf111e04ed5bfc743f5461625ce","observation_id":"e126e7e4-b85a-4dcf-b5dc-acd853573c7c","resolution":{"observed_at":"2026-08-07T14:46:24.388065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.791037Z","title":"Robertson, H","venue":null,"work_id":"00699bb8-2a39-44bc-b42d-77e40d301b9f","year":2009},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.527656Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:212a7738d3faa5c5c394ef7f3390f1261a72aaae0ec94ff37a85451b4d7a72b1","observation_id":"f0dd0fff-655a-4566-b21a-07493103ae23","resolution":{"observed_at":"2026-08-07T14:46:28.881317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.602409Z","title":"Salemi, S","venue":null,"work_id":"debba00b-3474-4fd6-b8b9-4bfd31369123","year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.644828Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:afa2710853c66cd3e8d2546e1b4a027f8a019e620e7084eb7d3865ff6c836eab","observation_id":"e612f25a-489c-440b-9ea8-5139602768c9","resolution":{"observed_at":"2026-08-07T14:46:28.710472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.406090Z","title":"Schiaffino and A","venue":null,"work_id":"2f5d50a7-0f44-4a23-855e-dd094c27c667","year":2004},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.745100Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:9531efa90945ab496210126144bea086138659ea4ce0d30946f7d67861ef3888","observation_id":"a2396a98-b7ed-40a7-a1ed-30b879dc083b","resolution":{"observed_at":"2026-08-07T14:46:28.528908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.204890Z","title":null,"venue":null,"work_id":"43246f00-2796-4878-843c-e80510aa74c1","year":2004},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.840417Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:e80022c5941442d22c90a7a81562c148ec344f5a67d565d6138e9be4e06dbda9","observation_id":"87a22c65-4e23-488c-a5fd-3b54c17fd344","resolution":{"observed_at":"2026-08-07T14:46:28.291746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-07T14:46:24.911358Z","title":"Touvron, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.911358Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:4164f3c32357d1ea6712859363f93e900aee86760deca242aec58e06f0f7ea46","observation_id":"221b3609-dbe4-448a-9f30-b93c02c9996f","resolution":{"observed_at":"2026-08-07T14:46:24.911358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-07T14:46:24.998238Z","title":"Touvron, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:24.998238Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:947e03ba691de1156f9680fd06f2bb378044160e1b3ba39899fdb4ab7237835f","observation_id":"c92180dc-c04e-47c5-b664-17e8541750c7","resolution":{"observed_at":"2026-08-07T14:46:24.998238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:28.041528Z","title":null,"venue":null,"work_id":"c777aece-3089-4738-af01-f34e4bc10714","year":null},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.136716Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:8fb628c71101c87414601ed03caf2b4712a5a0d56991dc238b03a6aa0ce56275","observation_id":"b3643e40-9864-41ed-987a-76bfc8c51abf","resolution":{"observed_at":"2026-08-07T14:46:28.116511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.898289Z","title":null,"venue":null,"work_id":"de025207-e21d-48dc-be25-27d6dbab8b54","year":null},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.287596Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:534b20ce148e8621ae0c84896ea938573b3b98db2264dad2928f5130dda33517","observation_id":"84517edf-2de2-4f58-aa38-dd535f97fc8b","resolution":{"observed_at":"2026-08-07T14:46:27.969601Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.759880Z","title":null,"venue":null,"work_id":"328e7d8e-a3b9-4674-82a1-29827d8e11a1","year":2022},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.406371Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:78f6ab1f361c2740a7c7b5d5c728e167dc6a9d17e62986c17256e9e87cc487e4","observation_id":"9bacd515-473c-4946-93d5-b1c495ae9934","resolution":{"observed_at":"2026-08-07T14:46:27.822607Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.544361Z","title":null,"venue":null,"work_id":"7bfb644d-e2b1-405f-bea5-4833cf4eae43","year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.567717Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:c74ea427bb0672b2aa7bfcda1f0f0c516729b5302e5d9e77a4436aff24724195","observation_id":"5c7702bc-2fc2-4931-94ab-afda9f550a89","resolution":{"observed_at":"2026-08-07T14:46:27.663319Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09686","snapshot_observed_at":"2026-08-07T14:46:25.684682Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.684682Z"},"links":{"cited_paper":"/paper/2501.09686","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:2a312567f950af65e2412c7ce3e51214368c1e37b35b87e7464e4576400b893f","observation_id":"6125f009-2eb2-42d1-acaa-aa0c7dad5050","resolution":{"observed_at":"2026-08-07T14:46:25.684682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T14:46:25.794589Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.794589Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:638ab70b285f7e0265053ce79bbf87dc0cc2b8a12d35db1d9bb801f29f616c42","observation_id":"2e2cdb95-cc23-4377-adf3-b4a323bcea47","resolution":{"observed_at":"2026-08-07T14:46:25.794589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.373815Z","title":null,"venue":null,"work_id":"4bd20d0c-12b0-4a0d-9435-cbd8896eba94","year":2023},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:25.953486Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:cb694fa825b107ff6bfa0d9ec11a52192da1fe1d3b5420b1e43c9bf0148ba591","observation_id":"82176751-c704-4755-b0e5-14d155353464","resolution":{"observed_at":"2026-08-07T14:46:27.457025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00027","last_updated":"2025-07-13T02:13:14Z","snapshot_observed_at":"2026-07-06T19:43:09.889618Z","submitted_at":"2024-10-29T04:01:11Z","title":"Personalization of Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00027","snapshot_observed_at":"2026-08-07T14:46:26.086977Z","title":"Zhang, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:26.086977Z"},"links":{"cited_paper":"/paper/2411.00027","citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:b3fc3cf3f978695928346a99012b7b979b01bb3cadf3e7830f0ada393534728f","observation_id":"d14147b1-0608-40cd-a04d-c6350684b1a8","resolution":{"observed_at":"2026-08-07T14:46:26.086977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.225721Z","title":null,"venue":null,"work_id":"3f5c5e5e-f018-48bf-adce-af67d900e645","year":null},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:26.211746Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:6e135a7b7009f4a2ea94f277420b46bc82d0f3d9284fb4584432e9eb7ceeefbd","observation_id":"7f45238d-b815-4ff7-89fc-4f0fc66aae4c","resolution":{"observed_at":"2026-08-07T14:46:27.296190Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:27.050963Z","title":null,"venue":null,"work_id":"03edafb8-e029-43b6-8020-3f5ffa8f6832","year":2012},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:26.300989Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:6340ea6c50db88a692dea962428676de795c2bac9703fc8fd9fe1427d3e81302","observation_id":"68eb5e3e-be51-4984-8ccb-dcf5c26bc41f","resolution":{"observed_at":"2026-08-07T14:46:27.142708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:46:26.792554Z","title":"answer only","venue":null,"work_id":"456211fc-796f-4ecf-81c7-b2c7d7b953e6","year":null},"citing_paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:26.412802Z"},"links":{"citing_paper":"/paper/2505.17571"},"observation_digest":"sha256:91a694d0e6bcf5b403a3165b345f580845641001b2f2e7d163470f583c3aa383","observation_id":"8079796e-189e-41ac-8bf3-be3633f860df","resolution":{"observed_at":"2026-08-07T14:46:26.909266Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17571","last_updated":"2025-05-23T07:30:13Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T10:00:51.380455Z","submitted_at":"2025-05-23T07:30:13Z","title":"Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":40},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.17571."}