{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","short_pith_number":"pith:DZZSXEEW","canonical_record":{"source":{"id":"2605.19275","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T02:46:35Z","cross_cats_sorted":[],"title_canon_sha256":"e796cccb97d8160d2b325b450a5b87d0d78687765cbf85cec3ce8c8817b26ade","abstract_canon_sha256":"f30cd3d47841d67750c89c353328358327b4713d310a615315512908ac66b206"},"schema_version":"1.0"},"canonical_sha256":"1e732b9096f9de3264600ffbc97284a224dffdd907bed410480a175da93e17f1","source":{"kind":"arxiv","id":"2605.19275","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19275","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19275v1","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19275","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_12","alias_value":"DZZSXEEW7HPD","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_16","alias_value":"DZZSXEEW7HPDEZDA","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_8","alias_value":"DZZSXEEW","created_at":"2026-05-20T01:05:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"record","payload":{"canonical_record":{"source":{"id":"2605.19275","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T02:46:35Z","cross_cats_sorted":[],"title_canon_sha256":"e796cccb97d8160d2b325b450a5b87d0d78687765cbf85cec3ce8c8817b26ade","abstract_canon_sha256":"f30cd3d47841d67750c89c353328358327b4713d310a615315512908ac66b206"},"schema_version":"1.0"},"canonical_sha256":"1e732b9096f9de3264600ffbc97284a224dffdd907bed410480a175da93e17f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:05:37.078666Z","signature_b64":"nLic/vvZFBBeeic8C9dHGtPdp+YNAyCzARhzKPkFkY8PHnR+X6aPueJR5PVaTpuEyYO2I1Xa8Xraf+C+RcoVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e732b9096f9de3264600ffbc97284a224dffdd907bed410480a175da93e17f1","last_reissued_at":"2026-05-20T01:05:37.078128Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:05:37.078128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.19275","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T01:05:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"53TXpET2AVcoK1KNL8ePbpFVdTROX0nJ6eHb7INdDILaksw2XJFVgcG4DOzoNGqixifLrCvESaHObOT90ER8AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.292716Z"},"content_sha256":"5e31dc44bc03ab2f877acbd2fd047773103f35e460cf5aff21d4243b3be27df8","schema_version":"1.0","event_id":"sha256:5e31dc44bc03ab2f877acbd2fd047773103f35e460cf5aff21d4243b3be27df8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Open-Weight LLMs Are Often Competitive with Commercial APIs for Political Science Text Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Hanno Hilbig","submitted_at":"2026-05-19T02:46:35Z","abstract_excerpt":"Can researchers use local open-weight models instead of commercial APIs for LLM text classification? Local models avoid marginal API charges, keep data on the researcher's machine, and make exact model versions easier to preserve. I benchmark five local models against four commercial API models on 34 political science classification tasks. Local models are often competitive, especially on simpler tasks. In a task-specific oracle comparison, local models match or exceed API performance on 9 tasks; on average, the best API model exceeds the best local model by 0.015 F1. The four strongest observ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19275","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.19275/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T01:05:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MEAc2aeTrfVqTayYLJuc4++rfMlQKQaJdzSb7mvBbafhPlEq1nHkyeQLY5X4exfcmErmYnefd1lHGRbmtRKGAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.293106Z"},"content_sha256":"b74747d6013cae86e7e26bc6b0a88b5a5c310ff01a63136097cc9a02cba4b82f","schema_version":"1.0","event_id":"sha256:b74747d6013cae86e7e26bc6b0a88b5a5c310ff01a63136097cc9a02cba4b82f"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1038/s41597-025-05228-w.Companion) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"https://doi.org/10.1038/s41597- 025-05228-w. Companion materials Prompt sources, batching details, summary CSVs, and reproduction instructions are on the GitHub repository at https://github.com/hhilbig/polsci-open-bench. 11 Tasks Table 2: T","arxiv_id":"2605.19275","detector":"doi_compliance","evidence":{"ref_index":22,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"https://doi.org/10.1038/s41597- 025-05228-w. Companion materials Prompt sources, batching details, summary CSVs, and reproduction instructions are on the GitHub repository at https://github.com/hhilbig/polsci-open-bench. 11 Tasks Table 2: T","reconstructed_doi":"10.1038/s41597-025-05228-w.Companion"},"severity":"advisory","ref_index":22,"audited_at":"2026-05-20T03:01:00.891622Z","event_type":"pith.integrity.v1","detected_doi":"10.1038/s41597-025-05228-w.Companion","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"9f4c979b9f65caf5c1c4b7a7add129f9bafe123e20cc63cc2d70ade1dc2f2d53","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4450,"payload_sha256":"e75719a6bba355c2aa14b59226eeeb6c021147b5d7f92a3926dbb6c500cdc0e9","signature_b64":"3j6jzklXD+f2mk90p9mM6XzlGGiU5Xbg6oyN7fBocdFKFTTLeah8fp2fQ6dn4QVG3WHRjdvK6TMqJRxSZOnjBw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T03:02:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YxkwYWOg9hNrW6v5w2yDq0Vcctc9EJWj8YJBPQ9JPUO9RafZ3k3IxgCt4Z4FNY9Bl9Jy/IgjxkAO6nQq2YPYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.294308Z"},"content_sha256":"a2230641f1b14de169b6470172991c98aa117fd65232b66ff8196236245032d4","schema_version":"1.0","event_id":"sha256:a2230641f1b14de169b6470172991c98aa117fd65232b66ff8196236245032d4"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1177/2158244020919447.Zhang) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"“The Dynamics of Political Incivility on Twitter.”SAGE Open10 (2): 2158244020919447. https://doi.org/10.1177/21582440 20919447. Zhang, Meiqing, Furkan Cakmak, Markus Neumann, et al","arxiv_id":"2605.19275","detector":"doi_compliance","evidence":{"ref_index":20,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"“The Dynamics of Political Incivility on Twitter.”SAGE Open10 (2): 2158244020919447. https://doi.org/10.1177/21582440 20919447. Zhang, Meiqing, Furkan Cakmak, Markus Neumann, et al","reconstructed_doi":"10.1177/2158244020919447.Zhang"},"severity":"advisory","ref_index":20,"audited_at":"2026-05-20T03:01:00.891622Z","event_type":"pith.integrity.v1","detected_doi":"10.1177/2158244020919447.Zhang","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"aca58fb0a8fc9150bf469b071da307642d4ab9250736272fc0c20d9cbefa11d5","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4449,"payload_sha256":"c7ee4addc6b5ddcf05ce7389179098941b5cbb49a66cb215277e8f97b3d66247","signature_b64":"sBYRsU5Z2TbCUNKnf5znppE9QUK99Y+A7HXgX6ffeOxSXdezm6CQhFnEzlmtJ9N0zSSG6Bfmpsu9b8CMAyOOBw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T03:02:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9ghDLVLD8vxrfN7Ap14LXS190RlWRqpdpt1qyt02EG0jDp/nmjWb7jo//iiQC3U0x9ZNCwhgupbfgogCh+t6DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.294628Z"},"content_sha256":"981496fb509ebff4cb815fbf14bb256bbb8cdd17f464dd4a5f3363b67a460340","schema_version":"1.0","event_id":"sha256:981496fb509ebff4cb815fbf14bb256bbb8cdd17f464dd4a5f3363b67a460340"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1017/pan.2025.10017.Haunss) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"“Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts.”Political Analysis34 (2): 188–204. https://doi.org/10.1017/pan.20 25.10017. Haunss, Sebastian, Priska Daphi, Jan Matti Dollbaum, Lidiya Hristova, Pál Susán","arxiv_id":"2605.19275","detector":"doi_compliance","evidence":{"ref_index":12,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"“Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts.”Political Analysis34 (2): 188–204. https://doi.org/10.1017/pan.20 25.10017. Haunss, Sebastian, Priska Daphi, Jan Matti Dollbaum, Lidiya Hristova, Pál Susán","reconstructed_doi":"10.1017/pan.2025.10017.Haunss"},"severity":"advisory","ref_index":12,"audited_at":"2026-05-20T03:01:00.891622Z","event_type":"pith.integrity.v1","detected_doi":"10.1017/pan.2025.10017.Haunss","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"e338f35f7c3cd6012a09f3a0fd1dc7ce0d2d8080218d58cd9ba5e257a95630f8","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4448,"payload_sha256":"3a8da3e8c275b4226c3ad9554e3a82962ad92d2bc73b57e755485b6294058230","signature_b64":"QxzFS7BMJ4ywt/KthlrXaEQZBgWlLb0WgvvUP5wUxdFWoT9VajJLAmWHmh1NSsn5hF4qpOpDJUfhvE0kNg9QDA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T03:02:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/rjvqNbiEqJSFInYE6T1LrI9HpF0UFMRZd0ftYAq6SNvCSyzuozQ8Fq61CzClpymRORDV/skc6WlJwLJe0GxBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.294919Z"},"content_sha256":"41b5078f0a927318f73b759556f3996e94063b0fb2574b04b746203806f6acb4","schema_version":"1.0","event_id":"sha256:41b5078f0a927318f73b759556f3996e94063b0fb2574b04b746203806f6acb4"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1017/pan.2022.10.Brandt) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"“Sentiment Is Not Stance: Target-Aware Opinion Classification for Political Text Analysis.”Political Analysis31 (2): 235–56. https://doi.org/10.1017/pan. 2022.10. Brandt, Patrick T., Sultan Alsarra, Vito D’Orazio, et al","arxiv_id":"2605.19275","detector":"doi_compliance","evidence":{"ref_index":2,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"“Sentiment Is Not Stance: Target-Aware Opinion Classification for Political Text Analysis.”Political Analysis31 (2): 235–56. https://doi.org/10.1017/pan. 2022.10. Brandt, Patrick T., Sultan Alsarra, Vito D’Orazio, et al","reconstructed_doi":"10.1017/pan.2022.10.Brandt"},"severity":"advisory","ref_index":2,"audited_at":"2026-05-20T03:01:00.891622Z","event_type":"pith.integrity.v1","detected_doi":"10.1017/pan.2022.10.Brandt","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"2ddf9bb58aeddaf9a60dbfeebcacfac3b5176585e7fbb349d3c00cf58cef3f89","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4447,"payload_sha256":"db1a73cb7aa7a1c169c2fc3f5f58d90723da231c51af323a406092017e9253ff","signature_b64":"NEmLDagSuQ+X5mIFzIyMSFaED/5RsJG5mfIpyXxHNv/L5BnN35TcYbP0tzr4g8DYMs9qyjG+FYzVdTWYjN9mAA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T03:02:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ic5FkOZlUtC23LzlsVPk42eXoAy8y0kXlx30DChUc4hzV10ed6qyNX3Buv3pa0jDapixaU78eVKd7kJiA0rQAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.295203Z"},"content_sha256":"7cadabcbcbf2b6e3369116ed35fc9db4af01708334b4bcd2de1c2d4a987ead9c","schema_version":"1.0","event_id":"sha256:7cadabcbcbf2b6e3369116ed35fc9db4af01708334b4bcd2de1c2d4a987ead9c"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1177/1532673X221109516.Bestvater) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"“Incivility in Congressional Tweets.”American Politics Research50 (6): 769–80. https://doi.org/10.1177/1532673X 221109516. Bestvater, Samuel E., and Burt L. Monroe","arxiv_id":"2605.19275","detector":"doi_compliance","evidence":{"ref_index":1,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"“Incivility in Congressional Tweets.”American Politics Research50 (6): 769–80. https://doi.org/10.1177/1532673X 221109516. Bestvater, Samuel E., and Burt L. Monroe","reconstructed_doi":"10.1177/1532673X221109516.Bestvater"},"severity":"advisory","ref_index":1,"audited_at":"2026-05-20T03:01:00.891622Z","event_type":"pith.integrity.v1","detected_doi":"10.1177/1532673X221109516.Bestvater","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"a007e10d0de4911518152813e4d8e2f8230c10adacb466cc461af1a60a08e8ad","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4446,"payload_sha256":"9081c69b42d904e5f9eec7b23ef6d13f399b002537e94a50ad7b8cca423ab6b7","signature_b64":"YBaIatrNZUoRXyZUT/dBTfd4ku8QvTDga/f/Q6V1waYkn6ibVEoDLP/jgwhVaDsU+NgHBl0nmGznM1mShSQIAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T03:02:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"831kUd1+S4z9I/JEWKb9Jdzt4xUI0fsxlJfPiQ30F2Xl0Di2iI/tynvrtOUMEtHIszOBcv/xeaHBrV8QfWiwDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T13:23:28.295513Z"},"content_sha256":"cc4abf921280b11b93b7292a62d7d9f2f1ab5357d18168437743e6a4903ab748","schema_version":"1.0","event_id":"sha256:cc4abf921280b11b93b7292a62d7d9f2f1ab5357d18168437743e6a4903ab748"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DZZSXEEW7HPDEZDAB754S4UEUI/bundle.json","state_url":"https://pith.science/pith/DZZSXEEW7HPDEZDAB754S4UEUI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DZZSXEEW7HPDEZDAB754S4UEUI/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-21T13:23:28Z","links":{"resolver":"https://pith.science/pith/DZZSXEEW7HPDEZDAB754S4UEUI","bundle":"https://pith.science/pith/DZZSXEEW7HPDEZDAB754S4UEUI/bundle.json","state":"https://pith.science/pith/DZZSXEEW7HPDEZDAB754S4UEUI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DZZSXEEW7HPDEZDAB754S4UEUI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DZZSXEEW7HPDEZDAB754S4UEUI","merge_version":"pith-open-graph-merge-v1","event_count":7,"valid_event_count":7,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f30cd3d47841d67750c89c353328358327b4713d310a615315512908ac66b206","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T02:46:35Z","title_canon_sha256":"e796cccb97d8160d2b325b450a5b87d0d78687765cbf85cec3ce8c8817b26ade"},"schema_version":"1.0","source":{"id":"2605.19275","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.19275","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"arxiv_version","alias_value":"2605.19275v1","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.19275","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_12","alias_value":"DZZSXEEW7HPD","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_16","alias_value":"DZZSXEEW7HPDEZDA","created_at":"2026-05-20T01:05:37Z"},{"alias_kind":"pith_short_8","alias_value":"DZZSXEEW","created_at":"2026-05-20T01:05:37Z"}],"graph_snapshots":[{"event_id":"sha256:b74747d6013cae86e7e26bc6b0a88b5a5c310ff01a63136097cc9a02cba4b82f","target":"graph","created_at":"2026-05-20T01:05:37Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.19275/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Can researchers use local open-weight models instead of commercial APIs for LLM text classification? Local models avoid marginal API charges, keep data on the researcher's machine, and make exact model versions easier to preserve. I benchmark five local models against four commercial API models on 34 political science classification tasks. Local models are often competitive, especially on simpler tasks. In a task-specific oracle comparison, local models match or exceed API performance on 9 tasks; on average, the best API model exceeds the best local model by 0.015 F1. The four strongest observ","authors_text":"Hanno Hilbig","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T02:46:35Z","title":"Open-Weight LLMs Are Often Competitive with Commercial APIs for Political Science Text Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.19275","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:5e31dc44bc03ab2f877acbd2fd047773103f35e460cf5aff21d4243b3be27df8","target":"record","created_at":"2026-05-20T01:05:37Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f30cd3d47841d67750c89c353328358327b4713d310a615315512908ac66b206","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2026-05-19T02:46:35Z","title_canon_sha256":"e796cccb97d8160d2b325b450a5b87d0d78687765cbf85cec3ce8c8817b26ade"},"schema_version":"1.0","source":{"id":"2605.19275","kind":"arxiv","version":1}},"canonical_sha256":"1e732b9096f9de3264600ffbc97284a224dffdd907bed410480a175da93e17f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e732b9096f9de3264600ffbc97284a224dffdd907bed410480a175da93e17f1","first_computed_at":"2026-05-20T01:05:37.078128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:05:37.078128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nLic/vvZFBBeeic8C9dHGtPdp+YNAyCzARhzKPkFkY8PHnR+X6aPueJR5PVaTpuEyYO2I1Xa8Xraf+C+RcoVDw==","signature_status":"signed_v1","signed_at":"2026-05-20T01:05:37.078666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.19275","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:41b5078f0a927318f73b759556f3996e94063b0fb2574b04b746203806f6acb4","sha256:7cadabcbcbf2b6e3369116ed35fc9db4af01708334b4bcd2de1c2d4a987ead9c","sha256:981496fb509ebff4cb815fbf14bb256bbb8cdd17f464dd4a5f3363b67a460340","sha256:a2230641f1b14de169b6470172991c98aa117fd65232b66ff8196236245032d4","sha256:cc4abf921280b11b93b7292a62d7d9f2f1ab5357d18168437743e6a4903ab748"]}],"invalid_events":[],"applied_event_ids":["sha256:5e31dc44bc03ab2f877acbd2fd047773103f35e460cf5aff21d4243b3be27df8","sha256:b74747d6013cae86e7e26bc6b0a88b5a5c310ff01a63136097cc9a02cba4b82f"],"state_sha256":"e2670ab3c7a26bb7ac03e3a2a48cc438d1e4d785fc0332d5f8a446ed1892e238"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"++r0yglG2KxfBbYL1k3h527jXkc4WKZmTphr4BTJP66TpZbQFIrtN2Posb/2igppVBL/+j1PfEQZjvIVT1/gAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T13:23:28.298829Z","bundle_sha256":"440f262dfb5026a667665196976ec1b2f8ecdbd6ada31e87d1b1da2bbf36b845"}}