{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:T6TR3JUVOTFXW6SEWW7OKB3ULO","short_pith_number":"pith:T6TR3JUV","canonical_record":{"source":{"id":"2608.08809","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-09T16:45:28Z","cross_cats_sorted":[],"title_canon_sha256":"956f0f5bb7f16c57a8db2f85172837bcd0b96e48a3f301dcfcc0087aa889444b","abstract_canon_sha256":"45525d5fd9287c54d78b667983c105559cfea0661e11fd4140c04a2a275389ba"},"schema_version":"1.0"},"canonical_sha256":"9fa71da69574cb7b7a44b5bee507745b98025540e32f4ee4d05374031cae2b83","source":{"kind":"arxiv","id":"2608.08809","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08809","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08809v1","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08809","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_12","alias_value":"T6TR3JUVOTFX","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_16","alias_value":"T6TR3JUVOTFXW6SE","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_8","alias_value":"T6TR3JUV","created_at":"2026-08-11T01:25:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:T6TR3JUVOTFXW6SEWW7OKB3ULO","target":"record","payload":{"canonical_record":{"source":{"id":"2608.08809","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-09T16:45:28Z","cross_cats_sorted":[],"title_canon_sha256":"956f0f5bb7f16c57a8db2f85172837bcd0b96e48a3f301dcfcc0087aa889444b","abstract_canon_sha256":"45525d5fd9287c54d78b667983c105559cfea0661e11fd4140c04a2a275389ba"},"schema_version":"1.0"},"canonical_sha256":"9fa71da69574cb7b7a44b5bee507745b98025540e32f4ee4d05374031cae2b83","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:25:24.236547Z","signature_b64":"3EmtCTyjN8tN0vXlJY6MiZFIivXX43XEHpVrLuVOO/zhfT0qLH89v52qjZky/wpoPMx7Ad83EB/n3ZPI43ZOAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fa71da69574cb7b7a44b5bee507745b98025540e32f4ee4d05374031cae2b83","last_reissued_at":"2026-08-11T01:25:24.234003Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:25:24.234003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.08809","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":"2026-08-11T01:25:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k4sEZKB9vh4zCCpQZ1SCdX2qztYezSyiCuyTLq2elLqLzG+FGRL+IGY0K0GBiNuMAsiamM5rv6yYiTCrnuytCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T03:42:40.169528Z"},"content_sha256":"6c7ca38ab76e856638184c0e943a1d07a2cc0e7ba4c9aefda096129f43906e3a","schema_version":"1.0","event_id":"sha256:6c7ca38ab76e856638184c0e943a1d07a2cc0e7ba4c9aefda096129f43906e3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:T6TR3JUVOTFXW6SEWW7OKB3ULO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jimmy Lin, Shengyao Zhuang, Vivek Srikumar, Xueguang Ma, Yu Wang, Zhichao Xu, Zongyu Wu","submitted_at":"2026-08-09T16:45:28Z","abstract_excerpt":"A single model scale challenges the flexibility of a production retrieval system: some settings need it faster, others need a smaller index, and the right trade-off changes with the workload. In the context of information retrieval (IR), a transformer-based model can be made smaller in three ways---using fewer layers, passing fewer tokens through the upper layers, or producing a shorter embedding---and each way saves a different compute resource. These options have been studied one at a time, each as its own method with its own code and training setup, which makes them hard to combine or adapt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08809","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/2608.08809/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":"2026-08-11T01:25:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"71yS52V897Rq+Zj+2hanMStK9O+DKfthPfPoHGf0k71vM6D091vARBKNMCwPKkSwD9k0SSwsYmrCp3GAr/6BBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T03:42:40.170461Z"},"content_sha256":"0bec9feb6771365b565690b532db1385f9359d8abb8233f7c4fd88f6e827e786","schema_version":"1.0","event_id":"sha256:0bec9feb6771365b565690b532db1385f9359d8abb8233f7c4fd88f6e827e786"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:T6TR3JUVOTFXW6SEWW7OKB3ULO","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1162/tacl_a_00276 resolves to 'Natural Questions: A Benchmark for Question Answering Research'. A reader following the printed text alone cannot reach it.","snippet":"Kwiatkowski, Tom and Palomaki, Jennimaria and Redfield, Olivia and Collins, Michael and Parikh, Ankur and Alberti, Chris and Epstein, Danielle and Polosukhin, Illia and Devlin, Jacob and Lee, Kenton and Toutanova, Kristina and Jones, Llion ","arxiv_id":"2608.08809","detector":"doi_compliance","evidence":{"ref_index":78,"verdict_class":"incontrovertible","resolved_title":"Natural Questions: A Benchmark for Question Answering Research","printed_excerpt":"10.1162/tacl","reconstructed_doi":"10.1162/tacl_a_00276"},"severity":"advisory","ref_index":78,"audited_at":"2026-08-14T04:58:37.882776Z","event_type":"pith.integrity.v1","detected_doi":"10.1162/tacl_a_00276","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"2701155c12fea5189d70b2e603892018b9ac5c29c78af3bf70872e5db6971a3a","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Natural Questions: A Benchmark for Question Answering Research","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":19544,"payload_sha256":"aa1d4b855f8f2fc6132e4ee19b59dee53d1e72a496f167886bb62c415afa855a","signature_b64":"iuBOEDBA5+5pG/zC8CZHZyg++743dOAXhbN6TA73HuK8BMQFQxOmgX2RVMjAHMUyElSjnW7aYmDutkgx7qIcDQ==","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":"2026-08-14T05:03:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M/XA53DaF0vSmXLHcLY0AHcW6de6j6nGeVLrpmlp0txXbKyLUtkIlkF/9n9pdTccQoIpJNFEZAIQiWsfoLdSBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T03:42:40.175084Z"},"content_sha256":"d1e82f671518533bab4800b31469e80d89ed298f85d16c7d939ef9c851213040","schema_version":"1.0","event_id":"sha256:d1e82f671518533bab4800b31469e80d89ed298f85d16c7d939ef9c851213040"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/bundle.json","state_url":"https://pith.science/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/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":"2026-08-15T03:42:40Z","links":{"resolver":"https://pith.science/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO","bundle":"https://pith.science/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/bundle.json","state":"https://pith.science/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6TR3JUVOTFXW6SEWW7OKB3ULO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:T6TR3JUVOTFXW6SEWW7OKB3ULO","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"45525d5fd9287c54d78b667983c105559cfea0661e11fd4140c04a2a275389ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-09T16:45:28Z","title_canon_sha256":"956f0f5bb7f16c57a8db2f85172837bcd0b96e48a3f301dcfcc0087aa889444b"},"schema_version":"1.0","source":{"id":"2608.08809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.08809","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"arxiv_version","alias_value":"2608.08809v1","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08809","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_12","alias_value":"T6TR3JUVOTFX","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_16","alias_value":"T6TR3JUVOTFXW6SE","created_at":"2026-08-11T01:25:24Z"},{"alias_kind":"pith_short_8","alias_value":"T6TR3JUV","created_at":"2026-08-11T01:25:24Z"}],"graph_snapshots":[{"event_id":"sha256:0bec9feb6771365b565690b532db1385f9359d8abb8233f7c4fd88f6e827e786","target":"graph","created_at":"2026-08-11T01:25:24Z","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/2608.08809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A single model scale challenges the flexibility of a production retrieval system: some settings need it faster, others need a smaller index, and the right trade-off changes with the workload. In the context of information retrieval (IR), a transformer-based model can be made smaller in three ways---using fewer layers, passing fewer tokens through the upper layers, or producing a shorter embedding---and each way saves a different compute resource. These options have been studied one at a time, each as its own method with its own code and training setup, which makes them hard to combine or adapt","authors_text":"Jimmy Lin, Shengyao Zhuang, Vivek Srikumar, Xueguang Ma, Yu Wang, Zhichao Xu, Zongyu Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-09T16:45:28Z","title":"Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08809","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":"sha256:6c7ca38ab76e856638184c0e943a1d07a2cc0e7ba4c9aefda096129f43906e3a","target":"record","created_at":"2026-08-11T01:25:24Z","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":"45525d5fd9287c54d78b667983c105559cfea0661e11fd4140c04a2a275389ba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-08-09T16:45:28Z","title_canon_sha256":"956f0f5bb7f16c57a8db2f85172837bcd0b96e48a3f301dcfcc0087aa889444b"},"schema_version":"1.0","source":{"id":"2608.08809","kind":"arxiv","version":1}},"canonical_sha256":"9fa71da69574cb7b7a44b5bee507745b98025540e32f4ee4d05374031cae2b83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fa71da69574cb7b7a44b5bee507745b98025540e32f4ee4d05374031cae2b83","first_computed_at":"2026-08-11T01:25:24.234003Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T01:25:24.234003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3EmtCTyjN8tN0vXlJY6MiZFIivXX43XEHpVrLuVOO/zhfT0qLH89v52qjZky/wpoPMx7Ad83EB/n3ZPI43ZOAQ==","signature_status":"signed_v1","signed_at":"2026-08-11T01:25:24.236547Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.08809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c7ca38ab76e856638184c0e943a1d07a2cc0e7ba4c9aefda096129f43906e3a","sha256:0bec9feb6771365b565690b532db1385f9359d8abb8233f7c4fd88f6e827e786","sha256:d1e82f671518533bab4800b31469e80d89ed298f85d16c7d939ef9c851213040"],"state_sha256":"6a9727994153bf2bf5a6040ce0beda044784b7ac8a6c9d46f84d7b85a0e3af07"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dE67thQC7soFj8qjHfXYp2oZTHVTzfYNF8faLTBDGjLXqkuaCudXX90mRJvOG3ntb8+Xv3iqOrKKGjC1CbWzAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T03:42:40.179210Z","bundle_sha256":"4c43fa5a6ea6e899d315141c344b9f24af523c8a07619df77f9895ae0380ba38"}}