{"as_of":"2026-08-05T02:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15b0410c8d45d039cf778e9903ac603fe5657dc1509e930b40ab1a5e26419a87","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T05:18:41.987170Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-08-02T13:34:39.675199Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.17654","snapshot_observed_at":"2026-08-02T13:34:39.675199Z","title":"Ramanujam and Shirley Wu and Hengyuan Hu and Noah Goodman and Dorsa Sadigh and Chelsea Finn , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20468","last_updated":"2026-05-20T15:55:21Z","snapshot_observed_at":"2026-08-02T13:34:35.902373Z","submitted_at":"2026-05-20T15:55:21Z","title":"InferenceBench: A Benchmark for Open-Ended LLM Inference Optimization by AI Agents","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-02T13:34:39.675199Z"},"links":{"cited_paper":"/paper/2604.17654","citing_paper":"/paper/2607.20468"},"observation_digest":"sha256:5eff5ce9edee48d5a4f9d7cde8cbd5f735fd9ba8bc6873b8117f8f5d2c43df7b","observation_id":"9809c917-3228-439f-b51c-3afbcac4f46b","resolution":{"observed_at":"2026-08-02T13:34:39.675199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.17654/citation-record","integrity":"/paper/2604.17654/integrity","json":"/paper/2604.17654/citation-record.json","paper":"/paper/2604.17654"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.13914","doi":"10.48550/arxiv.2504.13914","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Seed1.5-thinking: Advancing superb reasoning models with reinforce- ment learning","venue":null,"work_id":"1eaca2b2-5ee7-4243-b8f5-117441248181","year":2025},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:8c20c5ca404acb57f61a3360bf8750eafb5a8b07c602952b1f66ceb1ea89424b","observation_id":"c564b17e-7dc3-47cb-a998-0c4ba4a4edf5","resolution":{"observed_at":"2026-05-10T09:28:39.111971Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"228462d1-2e14-4ee0-8da2-eb2f23fd860e","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:610735240bdbaf3e8a41f796e7d651712f6578531a55958072298b35d62a322b","observation_id":"2c099cea-425a-4245-aa7d-fc397f30266c","resolution":{"observed_at":"2026-05-21T21:30:40.148231Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Each response contains a reasoning process and final answer","venue":null,"work_id":"6e2d8c4a-8326-4942-90db-ed1f25621378","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:00521baff2cdd510e659cb2fed0a12ae9c20369cc73a2447928bd3306c9ca1cf","observation_id":"fc7dbb25-cc24-4105-a493-0b342a148eb2","resolution":{"observed_at":"2026-05-21T21:30:40.138669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"1\", \"2\"","venue":null,"work_id":"6a0c3fe4-3155-4074-8916-edc9d1755518","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:4156448df38e5036cb989a6ef4b7f6d2c84b61bb0dc73a65ffd231f8654625d3","observation_id":"bcada313-bea9-4c43-b712-92b374a9915f","resolution":{"observed_at":"2026-05-21T21:30:40.150308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"chain_of_thought","venue":null,"work_id":"447fed86-4d60-4dcb-8b97-bda6598c2d28","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:cef926e34fb659c6b0451652e1e740a1b506ad176ac1da3fb0005124a4dff099","observation_id":"83f9c4e3-b8e1-4954-bf56-e3c8004da013","resolution":{"observed_at":"2026-05-21T21:30:40.158519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"**Few-Shot Example 1:** **Context:** What is the smallest value of x such that 5x - 1 = 3x + 2? **Responses:**","venue":null,"work_id":"cad0324c-d3ab-4f4f-aedc-470f7aa58a65","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:97e1b1126d3cedd3187346b669a674b64d0a134c61862e6682bfd1b2cbb658f4","observation_id":"75585167-197b-451a-b1a2-dfecbcbcff6a","resolution":{"observed_at":"2026-05-21T21:30:40.143586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Solving the first gives 2x = 3 so x = 1.5","venue":null,"work_id":"095e5424-188e-4839-9c59-f049597e807f","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:38d24b549ad133f713e0e75300f742c1e0664974e9e68fce70579e0bee769801","observation_id":"f81d9f6b-852c-4bf6-9ccd-a9e870b428c2","resolution":{"observed_at":"2026-05-21T21:30:40.145745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"For x < -2/3, we have -(5x-1) = -(3x+2)","venue":null,"work_id":"83c4e3b7-11bf-408e-88a4-25d8948212a1","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:a9e65ee0fcf21e2e0679f038ab53e8aa9f3561bf1532b2c787a334d34459da19","observation_id":"f3306c61-6937-446f-8e50-fb84f5084680","resolution":{"observed_at":"2026-05-21T21:30:40.160775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"So the answer is x = -0.125 21","venue":null,"work_id":"89a2522e-4d61-4b88-a517-26160caf764b","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:d4c03f66d0991e1efc5849a5ac79639f2824c6df92ba54d703b9a2ad488bf791","observation_id":"38bfe1c9-b078-45ff-a422-2ed5dc7c07b6","resolution":{"observed_at":"2026-05-21T21:30:40.156567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"This expands to 25x^2 - 10x + 1 = 9x^2 + 12x + 4","venue":null,"work_id":"03fc5d11-ce85-42e3-a464-eba5990edab5","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:41fd8c8978c24a5bdc8e9f8c66adb5aac527ad89ed1508f43195ce9168727eb3","observation_id":"f8995a45-7041-49d6-a2b0-c16acc2449e6","resolution":{"observed_at":"2026-05-21T21:30:40.140969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"This leads to x = 3/2 and x = 0","venue":null,"work_id":"91b40ccb-49fe-4055-a3c4-30f4483c6e4d","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:7f3d44f6074f4e9af70ddfbece7c3e75993cc0ff26c56226445a78c10d617bda","observation_id":"cf54d982-a903-4a3a-add0-fddc21ac8f79","resolution":{"observed_at":"2026-05-21T21:30:40.154607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"800ef3dc-a758-46db-af39-de5f771b662b","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:15c8897056f6ae710c6ab3e6657d275404dde67c54cfbf4744c97cf15bb8ee0a","observation_id":"825c93c4-0be7-4a65-ac1a-40c7da4165bd","resolution":{"observed_at":"2026-05-21T21:30:40.152500Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"1\": {{\"chain_of_thought","venue":null,"work_id":"9eadc26a-0590-4309-9ff4-353a301b7e71","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:6df5457d30913f0ede39ecaecd7da467c074955abe97e1d1a2db10214b151b91","observation_id":"06cd9444-465c-4452-ab97-f38b2068821f","resolution":{"observed_at":"2026-05-21T21:30:40.124778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"96 = 2^5 * 3^1","venue":null,"work_id":"a5747d61-b346-46bd-be87-e638753e6b91","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:d9593cc2b20f5bee403cdb4421137d75e999ce94f2fa4cb9ba556e4fc3fce87d","observation_id":"d36b0da1-8aed-45c9-a590-c16e1ecd3161","resolution":{"observed_at":"2026-05-21T21:30:40.121695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Prime factors of 96: 2, 2, 2, 2, 2, 3","venue":null,"work_id":"46659d61-8607-4342-99fa-8ddb6704e230","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:dda909d22998693cf53cbc6a28c29d4f65aa1dc7c900b0bdb07180de4dddb55d","observation_id":"8c70f0fb-d56f-4efb-aa84-eee1de5ed316","resolution":{"observed_at":"2026-05-21T21:30:40.136278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"152fd0c1-c5e5-4615-9eda-ad16c8c28f88","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:9018d6d083ec1223e0830c9d6446c62a6912bc42f4db6422b3110228ddae5e45","observation_id":"880426b9-d659-4952-8eee-3755046154b6","resolution":{"observed_at":"2026-05-21T21:30:40.133999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d71066a4-7003-42e0-a5d0-4f81a848bb92","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:f9cf5efb02ebc93f6913013f9f838ee91b65e611074747e06b0284378e660ac2","observation_id":"ecf5c637-8b66-420b-b324-ac305fb29ee9","resolution":{"observed_at":"2026-05-21T21:30:40.129354Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"1\": {{\"chain_of_thought","venue":null,"work_id":"d0c46ac7-7c89-4db6-b741-090c3170ebc9","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:27c73f76ca2a49f792323858ca67aec50ead874053e1a216ec7f0a4da39deaaf","observation_id":"6d293eff-1959-4366-bc8a-c9e1f1ed91c1","resolution":{"observed_at":"2026-05-21T21:30:40.131645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"cluster 100","venue":null,"work_id":"830a1166-2682-4cda-a521-e0cfbba7ef29","year":null},"citing_paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T05:18:41.987170Z"},"links":{"citing_paper":"/paper/2604.17654"},"observation_digest":"sha256:e6446ab2f31d4731512a1e189a85e911cae754c9da99216894a6a67b875f8f9f","observation_id":"768841d0-504d-4ac5-beab-f6e2d8253dd0","resolution":{"observed_at":"2026-05-21T21:30:40.127146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.17654","last_updated":"2026-05-05T06:40:59Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T23:04:41.564912Z","submitted_at":"2026-04-19T22:54:19Z","title":"Poly-EPO: Training Exploratory Reasoning Models"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":3,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":19},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2604.17654."}