{"as_of":"2026-08-15T01:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07f9368f9d118e03f39db9438c2e369a2485fdc40cff77cb04f6d0e3369c0eb4","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:24:15.098291Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T04:19:38.838228Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T04:20:38.770680Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"cited_work":{"arxiv_id":"2507.00214","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.00214","snapshot_observed_at":"2026-08-10T04:20:38.770680Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","venue":"cs.CL","work_id":"d2775270-9ba4-408c-95f0-824da433ac89","year":2025},"citing_paper":{"arxiv_id":"2608.06609","last_updated":"2026-08-10T10:47:12Z","snapshot_observed_at":"2026-08-13T23:40:51.501529Z","submitted_at":"2026-08-06T21:52:18Z","title":"Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T04:20:37.465711Z"},"links":{"cited_paper":"/paper/2507.00214","citing_paper":"/paper/2608.06609"},"observation_digest":"sha256:c9331271f2be38aad9e21bde51a208a8de242cab1721e9d28910a3e8169406ea","observation_id":"9e0e56dc-e793-4bab-aeee-06f6687bb1b0","resolution":{"observed_at":"2026-08-10T04:20:38.775257Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00214","snapshot_observed_at":"2026-08-11T04:19:38.838228Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06609","last_updated":"2026-08-10T10:47:12Z","snapshot_observed_at":"2026-08-13T23:40:51.501529Z","submitted_at":"2026-08-06T21:52:18Z","title":"Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T04:19:38.838228Z"},"links":{"cited_paper":"/paper/2507.00214","citing_paper":"/paper/2608.06609"},"observation_digest":"sha256:96afcf3f6077b68deaef95ce9dc7f42b69ad1c0e8d0a6bdd83d7d2a984a857f6","observation_id":"875fdb2c-3ae5-4bed-9f40-11169a2a50a6","resolution":{"observed_at":"2026-08-11T04:19:38.838228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00214/citation-record","integrity":"/paper/2507.00214/integrity","json":"/paper/2507.00214/citation-record.json","paper":"/paper/2507.00214"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:17.454516Z","title":"Meta llama 3.2: A 1.4t parameter class of language models","venue":null,"work_id":"79a04847-aa87-4dab-b00d-b9e293d53597","year":2024},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:13.550165Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:8e578d908ec957bbf0107893047a74b7d71a2435bb074f10844068685cd68a59","observation_id":"68c0f5d8-697f-4d1e-adbb-e7c39f09bca1","resolution":{"observed_at":"2026-08-06T21:24:17.583559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-06T21:24:13.668124Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:13.668124Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:885063c080fd996fa0a10016984a61dbcff88f63f2d560fed68a9ef39298fc7a","observation_id":"0c31d66a-8405-4512-be6f-4d5cb26628ff","resolution":{"observed_at":"2026-08-06T21:24:13.668124Z","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":"2026-08-06T21:24:17.154019Z","title":"e-snli: Natural language inference with natural language explanations","venue":null,"work_id":"0d3f6ab5-7540-4abc-a999-4f7bb5be41bb","year":2018},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:13.841196Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:16795c2666a2df773246ffc6fa0ba89d77ffd7cdf160a9d3e1a0cb3f3ebff320","observation_id":"80e9fbb4-04b0-4111-b6bb-22b9cc2c555e","resolution":{"observed_at":"2026-08-06T21:24:17.278400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:24:16.924652Z","title":"Speech and language processing: An introduction to natural language processing, computational linguis- tics, and speech recognition","venue":null,"work_id":"23ab992d-c639-43b1-a8fa-c5f65e4197b0","year":2000},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:13.966008Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:5e60e632c42e73681b135430b604e2d534dadc5955727dde35da2a73fc9839fb","observation_id":"aede28e9-e95e-46b4-855b-40ecd1e14082","resolution":{"observed_at":"2026-08-06T21:24:17.028383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.11916","last_updated":"2023-01-29T05:14:17Z","snapshot_observed_at":"2026-08-13T05:54:24.242465Z","submitted_at":"2022-05-24T09:22:26Z","title":"Large Language Models are Zero-Shot Reasoners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.11916","snapshot_observed_at":"2026-08-06T21:24:14.106002Z","title":"Large language models are zero-shot reasoners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.106002Z"},"links":{"cited_paper":"/paper/2205.11916","citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:f0223cd7efac579475ccc116f6ffbc29b2f2bb61ecf5c465a937766a8a09d47d","observation_id":"d3b1d927-3db0-4c6b-b3a0-9acacc65efac","resolution":{"observed_at":"2026-08-06T21:24:14.106002Z","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":"2026-08-06T21:24:16.633271Z","title":"Rationalizing neural predictions","venue":null,"work_id":"bf26a517-4d06-437b-abd2-68705c036ccf","year":2016},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.261798Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:6b3dbd1567a6a832ca227d27e8078a5056571d17479a0791b7f5a936c963dda3","observation_id":"40d361ea-56f6-49e0-a15c-44f370f7add3","resolution":{"observed_at":"2026-08-06T21:24:16.788093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:24:16.322180Z","title":"Explain yourself! : Leveraging language models for faithful rationalization","venue":null,"work_id":"c7cde4e2-e460-4c06-95ed-8e094a8ca794","year":2019},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.406188Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:69bc8b31131dbdd35b6ea6561e3cc0d715f9edde982e1f1a006ec684d2c157f1","observation_id":"8fb9bdad-175f-4d4f-84f0-9225a02e83c4","resolution":{"observed_at":"2026-08-06T21:24:16.489705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:24:16.045851Z","title":"”why should i trust you?”: Explaining the predictions of any classifier","venue":null,"work_id":"41d659bb-bd0c-4bad-a4e0-9dea6180ce23","year":2016},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.555815Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:136f8546465c76dbd46bea2c3a3389da6e2947b446ccc816c318773e0df22699","observation_id":"1f29e859-432e-4006-929a-2e87d373e5ae","resolution":{"observed_at":"2026-08-06T21:24:16.207005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:24:15.716195Z","title":"A survey on image data augmentation for deep learning","venue":null,"work_id":"736356dd-436e-445f-a5a8-54d2e58cf98d","year":2019},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.687108Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:b44a8bd122768acd7e3393054e39f9fbdbbebedff5a23d6c0fff6829184910d0","observation_id":"c16c6999-ecf5-49fa-9049-7a578abee7de","resolution":{"observed_at":"2026-08-06T21:24:15.913864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:24:14.795218Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.795218Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:79d903992a1c658cd41e2c2661ecfbe7ff37d47b0a633f5f3fb88ce886640337","observation_id":"11ec0221-b304-4f83-b3be-d36443d31fa7","resolution":{"observed_at":"2026-08-06T21:24:14.795218Z","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":"2026-08-06T21:24:15.535664Z","title":"Chain-of-thought prompting elicits rea- soning in large language models","venue":null,"work_id":"06750047-848f-4986-838f-d77a27017ebd","year":2022},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:14.937937Z"},"links":{"citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:ddf786a70a424ea51366135c034eeca301dff054f2f414ae4b9c4cc8a6ec2e34","observation_id":"b3869cd2-f97b-4392-9b48-9a003c7a6a40","resolution":{"observed_at":"2026-08-06T21:24:15.588195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.12741","last_updated":"2021-02-25T09:10:51Z","snapshot_observed_at":"2026-08-09T14:32:31.741279Z","submitted_at":"2021-02-25T09:10:51Z","title":"Spiraling of sub-Riemannian geodesics around the Reeb flow in the 3D contact case","version":1},"cited_work":{"arxiv_id":"2102.12741","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.12741","snapshot_observed_at":"2026-08-06T21:24:15.245727Z","title":"Spiraling of sub-Riemannian geodesics around the Reeb flow in the 3D contact case","venue":"math.DG","work_id":"67ad2178-0320-4c2a-bede-c7241c2beeec","year":2021},"citing_paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:15.098291Z"},"links":{"cited_paper":"/paper/2102.12741","citing_paper":"/paper/2507.00214"},"observation_digest":"sha256:f0ee64b2a8dc824733962dd551ea46dc4fec88d9f4ab57259e1eaf7e15ab0166","observation_id":"a3bf2887-271a-43c9-8933-374b8833e871","resolution":{"observed_at":"2026-08-06T21:24:15.341675Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00214","last_updated":"2025-06-30T19:34:57Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T21:19:06.340648Z","submitted_at":"2025-06-30T19:34:57Z","title":"Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":12},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2507.00214."}