{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4H2X2UEGIFSROYY7SAKZMH5GGQ","short_pith_number":"pith:4H2X2UEG","canonical_record":{"source":{"id":"1704.04530","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-14T20:29:23Z","cross_cats_sorted":[],"title_canon_sha256":"a6430eadeeceed7354bf82fb79f3fc1f6257f3f7825c5c78469a488d875429d6","abstract_canon_sha256":"9d7d67608fbf6a3c1811b2e810bb44089541086ff008286a881743982c57a82e"},"schema_version":"1.0"},"canonical_sha256":"e1f57d5086416517631f9015961fa6340c3a8a78f76f1597ba7069698293b1cc","source":{"kind":"arxiv","id":"1704.04530","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04530","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04530v2","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04530","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"pith_short_12","alias_value":"4H2X2UEGIFSR","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"4H2X2UEGIFSROYY7","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"4H2X2UEG","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4H2X2UEGIFSROYY7SAKZMH5GGQ","target":"record","payload":{"canonical_record":{"source":{"id":"1704.04530","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-14T20:29:23Z","cross_cats_sorted":[],"title_canon_sha256":"a6430eadeeceed7354bf82fb79f3fc1f6257f3f7825c5c78469a488d875429d6","abstract_canon_sha256":"9d7d67608fbf6a3c1811b2e810bb44089541086ff008286a881743982c57a82e"},"schema_version":"1.0"},"canonical_sha256":"e1f57d5086416517631f9015961fa6340c3a8a78f76f1597ba7069698293b1cc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:41.483798Z","signature_b64":"A+TqCJHrGHzOjuENSC4X3eJehSz+qoDdEHkjIz/cCGTVDdZq2nXYBLXpnL8JALmggHU5vNNzKwOFLp3ljV/DDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1f57d5086416517631f9015961fa6340c3a8a78f76f1597ba7069698293b1cc","last_reissued_at":"2026-05-18T00:35:41.482953Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:41.482953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.04530","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":"2026-05-18T00:35:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e/U7d8+e4wSgtrrHBtRUn3oQIkaDsgKHWh9eyiYLphVzmT/43G5Qj0cooQj5g9/Hli9eOn4ToVBSvFdk0PZeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:46:08.319723Z"},"content_sha256":"6218b13efee1211f54a08294b970fcba84f834675349356591ff571a42a00304","schema_version":"1.0","event_id":"sha256:6218b13efee1211f54a08294b970fcba84f834675349356591ff571a42a00304"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4H2X2UEGIFSROYY7SAKZMH5GGQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Extractive Summarization with Side Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Mirella Lapata, Nikos Papasarantopoulos, Shashi Narayan, Shay B. Cohen","submitted_at":"2017-04-14T20:29:23Z","abstract_excerpt":"Most extractive summarization methods focus on the main body of the document from which sentences need to be extracted. However, the gist of the document may lie in side information, such as the title and image captions which are often available for newswire articles. We propose to explore side information in the context of single-document extractive summarization. We develop a framework for single-document summarization composed of a hierarchical document encoder and an attention-based extractor with attention over side information. We evaluate our model on a large scale news dataset. We show"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04530","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":"2026-05-18T00:35:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jHfTjDst9yaZ59oHX7HuSmWXJLWsix4tbuCx4d1Y8m4Z9rZWaMd9ogJ8OSTULIEgKn2rB4UFaRZLD3oiRtngCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T13:46:08.320464Z"},"content_sha256":"d7be77282a0866e6a9bc5bd5b2ed41b8c5cf7f075dccac4e6f11116e482ce46e","schema_version":"1.0","event_id":"sha256:d7be77282a0866e6a9bc5bd5b2ed41b8c5cf7f075dccac4e6f11116e482ce46e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/bundle.json","state_url":"https://pith.science/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/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":"2026-05-25T13:46:08Z","links":{"resolver":"https://pith.science/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ","bundle":"https://pith.science/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/bundle.json","state":"https://pith.science/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4H2X2UEGIFSROYY7SAKZMH5GGQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4H2X2UEGIFSROYY7SAKZMH5GGQ","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":"9d7d67608fbf6a3c1811b2e810bb44089541086ff008286a881743982c57a82e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-14T20:29:23Z","title_canon_sha256":"a6430eadeeceed7354bf82fb79f3fc1f6257f3f7825c5c78469a488d875429d6"},"schema_version":"1.0","source":{"id":"1704.04530","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04530","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04530v2","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04530","created_at":"2026-05-18T00:35:41Z"},{"alias_kind":"pith_short_12","alias_value":"4H2X2UEGIFSR","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"4H2X2UEGIFSROYY7","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"4H2X2UEG","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:d7be77282a0866e6a9bc5bd5b2ed41b8c5cf7f075dccac4e6f11116e482ce46e","target":"graph","created_at":"2026-05-18T00:35:41Z","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":"Most extractive summarization methods focus on the main body of the document from which sentences need to be extracted. However, the gist of the document may lie in side information, such as the title and image captions which are often available for newswire articles. We propose to explore side information in the context of single-document extractive summarization. We develop a framework for single-document summarization composed of a hierarchical document encoder and an attention-based extractor with attention over side information. We evaluate our model on a large scale news dataset. We show","authors_text":"Mirella Lapata, Nikos Papasarantopoulos, Shashi Narayan, Shay B. Cohen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-14T20:29:23Z","title":"Neural Extractive Summarization with Side Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04530","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":"sha256:6218b13efee1211f54a08294b970fcba84f834675349356591ff571a42a00304","target":"record","created_at":"2026-05-18T00:35:41Z","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":"9d7d67608fbf6a3c1811b2e810bb44089541086ff008286a881743982c57a82e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-04-14T20:29:23Z","title_canon_sha256":"a6430eadeeceed7354bf82fb79f3fc1f6257f3f7825c5c78469a488d875429d6"},"schema_version":"1.0","source":{"id":"1704.04530","kind":"arxiv","version":2}},"canonical_sha256":"e1f57d5086416517631f9015961fa6340c3a8a78f76f1597ba7069698293b1cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1f57d5086416517631f9015961fa6340c3a8a78f76f1597ba7069698293b1cc","first_computed_at":"2026-05-18T00:35:41.482953Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:41.482953Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A+TqCJHrGHzOjuENSC4X3eJehSz+qoDdEHkjIz/cCGTVDdZq2nXYBLXpnL8JALmggHU5vNNzKwOFLp3ljV/DDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:41.483798Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.04530","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6218b13efee1211f54a08294b970fcba84f834675349356591ff571a42a00304","sha256:d7be77282a0866e6a9bc5bd5b2ed41b8c5cf7f075dccac4e6f11116e482ce46e"],"state_sha256":"494d9e74e0cf88d3c664068663d8ab2f17be3f1e016f559fc5e9d14d41159d48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U8nfxiCS+Bhfqk6UVOug4A5qpas/RtpCvCrPHJrjG5D/Ybg+/LbyZ8jgYuFsvRkcyVcRdc0TpCCEBipe+ueJAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T13:46:08.324496Z","bundle_sha256":"c8961b345fcd5885c55576c4587651dc5ee2e4c264b2e12545f1ff2171396d1c"}}