{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MMGLA2FYMUXWV443LRLTGDDY4U","short_pith_number":"pith:MMGLA2FY","canonical_record":{"source":{"id":"1707.07045","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T21:05:04Z","cross_cats_sorted":[],"title_canon_sha256":"7c7150428f1d3c532502365e247598fe0456512aa3f5f9c054df6eb13db3fc19","abstract_canon_sha256":"5583ca7139bed202e064c5befee62e276fab80a56c998722dac2070a50000e76"},"schema_version":"1.0"},"canonical_sha256":"630cb068b8652f6af39b5c57330c78e5371e4842b8a8a20b693a0467ffe63139","source":{"kind":"arxiv","id":"1707.07045","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07045","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07045v2","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07045","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"pith_short_12","alias_value":"MMGLA2FYMUXW","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MMGLA2FYMUXWV443","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MMGLA2FY","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MMGLA2FYMUXWV443LRLTGDDY4U","target":"record","payload":{"canonical_record":{"source":{"id":"1707.07045","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T21:05:04Z","cross_cats_sorted":[],"title_canon_sha256":"7c7150428f1d3c532502365e247598fe0456512aa3f5f9c054df6eb13db3fc19","abstract_canon_sha256":"5583ca7139bed202e064c5befee62e276fab80a56c998722dac2070a50000e76"},"schema_version":"1.0"},"canonical_sha256":"630cb068b8652f6af39b5c57330c78e5371e4842b8a8a20b693a0467ffe63139","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:52.413154Z","signature_b64":"t0Px8dfkAgYjijBJz0DUcNvAYqfZ/G6KYwr0qBfB2hzZ+8w9og3ZX/MFPBZvDJLlzlaOSSJ5X90QkAjmfjBeCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"630cb068b8652f6af39b5c57330c78e5371e4842b8a8a20b693a0467ffe63139","last_reissued_at":"2026-05-18T00:27:52.412681Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:52.412681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.07045","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:27:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Atcp7MFc2S4LzBPS1h/NKA4DBHeCCfcwcWr292XIV6UBI4Ji9IAl1X2F7MpyxcI0m1iu2i3Ethf9qP8cQnW+Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:25:48.262820Z"},"content_sha256":"ecac68031ca276002780e47856fc1275690f18af4a47aa86ce54724994f33799","schema_version":"1.0","event_id":"sha256:ecac68031ca276002780e47856fc1275690f18af4a47aa86ce54724994f33799"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MMGLA2FYMUXWV443LRLTGDDY4U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-end Neural Coreference Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Kenton Lee, Luheng He, Luke Zettlemoyer, Mike Lewis","submitted_at":"2017-07-21T21:05:04Z","abstract_excerpt":"We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector. The key idea is to directly consider all spans in a document as potential mentions and learn distributions over possible antecedents for each. The model computes span embeddings that combine context-dependent boundary representations with a head-finding attention mechanism. It is trained to maximize the marginal likelihood of gold antecedent spans from coreference clusters and is factored to enable aggr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07045","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:27:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GP37GmPaW3K8mIH9WePzyq/nRDdaKt73ZEjntcD9shVE06qN9RyKvv9NNiwPPa1qc1MqIdk1mBMuJymBqIcSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:25:48.263721Z"},"content_sha256":"3db59a67bd15153720aa0c2a72f68cf92e03e3adb05b6977bf254571aabdf5c3","schema_version":"1.0","event_id":"sha256:3db59a67bd15153720aa0c2a72f68cf92e03e3adb05b6977bf254571aabdf5c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMGLA2FYMUXWV443LRLTGDDY4U/bundle.json","state_url":"https://pith.science/pith/MMGLA2FYMUXWV443LRLTGDDY4U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMGLA2FYMUXWV443LRLTGDDY4U/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":"2026-05-25T16:25:48Z","links":{"resolver":"https://pith.science/pith/MMGLA2FYMUXWV443LRLTGDDY4U","bundle":"https://pith.science/pith/MMGLA2FYMUXWV443LRLTGDDY4U/bundle.json","state":"https://pith.science/pith/MMGLA2FYMUXWV443LRLTGDDY4U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMGLA2FYMUXWV443LRLTGDDY4U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MMGLA2FYMUXWV443LRLTGDDY4U","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5583ca7139bed202e064c5befee62e276fab80a56c998722dac2070a50000e76","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T21:05:04Z","title_canon_sha256":"7c7150428f1d3c532502365e247598fe0456512aa3f5f9c054df6eb13db3fc19"},"schema_version":"1.0","source":{"id":"1707.07045","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07045","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07045v2","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07045","created_at":"2026-05-18T00:27:52Z"},{"alias_kind":"pith_short_12","alias_value":"MMGLA2FYMUXW","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MMGLA2FYMUXWV443","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MMGLA2FY","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:3db59a67bd15153720aa0c2a72f68cf92e03e3adb05b6977bf254571aabdf5c3","target":"graph","created_at":"2026-05-18T00:27:52Z","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"},"paper":{"abstract_excerpt":"We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector. The key idea is to directly consider all spans in a document as potential mentions and learn distributions over possible antecedents for each. The model computes span embeddings that combine context-dependent boundary representations with a head-finding attention mechanism. It is trained to maximize the marginal likelihood of gold antecedent spans from coreference clusters and is factored to enable aggr","authors_text":"Kenton Lee, Luheng He, Luke Zettlemoyer, Mike Lewis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T21:05:04Z","title":"End-to-end Neural Coreference Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07045","kind":"arxiv","version":2},"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:ecac68031ca276002780e47856fc1275690f18af4a47aa86ce54724994f33799","target":"record","created_at":"2026-05-18T00:27:52Z","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":"5583ca7139bed202e064c5befee62e276fab80a56c998722dac2070a50000e76","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-07-21T21:05:04Z","title_canon_sha256":"7c7150428f1d3c532502365e247598fe0456512aa3f5f9c054df6eb13db3fc19"},"schema_version":"1.0","source":{"id":"1707.07045","kind":"arxiv","version":2}},"canonical_sha256":"630cb068b8652f6af39b5c57330c78e5371e4842b8a8a20b693a0467ffe63139","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"630cb068b8652f6af39b5c57330c78e5371e4842b8a8a20b693a0467ffe63139","first_computed_at":"2026-05-18T00:27:52.412681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:52.412681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t0Px8dfkAgYjijBJz0DUcNvAYqfZ/G6KYwr0qBfB2hzZ+8w9og3ZX/MFPBZvDJLlzlaOSSJ5X90QkAjmfjBeCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:52.413154Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.07045","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ecac68031ca276002780e47856fc1275690f18af4a47aa86ce54724994f33799","sha256:3db59a67bd15153720aa0c2a72f68cf92e03e3adb05b6977bf254571aabdf5c3"],"state_sha256":"30bc653a48cb2dd58a7f61a255df50f084c5f5b52522739474a041f388b7223a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VtHJmQ/BMvBHpRt+81tPYcsW5bEWqTqH/iglYIXOxcyYC8t5Y+25c4GDY8u0Ksl4PKlDOVTbUEBn115sGbRoDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T16:25:48.268528Z","bundle_sha256":"ff2ee9c24c061c6d487fb2d6c3f57a7b7dd81095d3b4d8b327aac65fb9896e6a"}}