{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:EQTTRFPURQXCJEUP6HQE4OPNJJ","short_pith_number":"pith:EQTTRFPU","canonical_record":{"source":{"id":"1904.02874","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-04-05T05:26:59Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"959aa757843f40c3a6ec698357ca0bfac159a119d29ffad17f45963dd5749459","abstract_canon_sha256":"83b1556cee7366a545bd2c5cc8c73b937d7e5050816d3a69e05a65ce8e213775"},"schema_version":"1.0"},"canonical_sha256":"24273895f48c2e24928ff1e04e39ed4a41144a5c3cc452e9053a6feaf26760ec","source":{"kind":"arxiv","id":"1904.02874","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02874","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02874v3","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02874","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"EQTTRFPURQXC","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_16","alias_value":"EQTTRFPURQXCJEUP","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_8","alias_value":"EQTTRFPU","created_at":"2026-07-05T02:56:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:EQTTRFPURQXCJEUP6HQE4OPNJJ","target":"record","payload":{"canonical_record":{"source":{"id":"1904.02874","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-04-05T05:26:59Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"959aa757843f40c3a6ec698357ca0bfac159a119d29ffad17f45963dd5749459","abstract_canon_sha256":"83b1556cee7366a545bd2c5cc8c73b937d7e5050816d3a69e05a65ce8e213775"},"schema_version":"1.0"},"canonical_sha256":"24273895f48c2e24928ff1e04e39ed4a41144a5c3cc452e9053a6feaf26760ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:56:52.296169Z","signature_b64":"l1HM6ozbPSG/CNSS3RwvDW6ywqDZe/tGHpVIi3f7yAY4qrUt0pBHcY9V74+t8u34ANDy6HwNEmKvujMQuqy9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24273895f48c2e24928ff1e04e39ed4a41144a5c3cc452e9053a6feaf26760ec","last_reissued_at":"2026-07-05T02:56:52.295643Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:56:52.295643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.02874","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yskOwp7q/ewpFDjE/N4OLrj2fAuvRkYyLcvdYWwmRElRccK5Kdiiowkjlmk24xz5yxm+s28AkvemKN+L8c66Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T22:12:27.857275Z"},"content_sha256":"d4f92419234e21db60ef197a6188df99ecc1c79d2bd36cde474a3bb981d225c4","schema_version":"1.0","event_id":"sha256:d4f92419234e21db60ef197a6188df99ecc1c79d2bd36cde474a3bb981d225c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:EQTTRFPURQXCJEUP6HQE4OPNJJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Attentive Survey of Attention Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Gungor Polatkan, Rohan Ramanath, Sneha Chaudhari, Varun Mithal","submitted_at":"2019-04-05T05:26:59Z","abstract_excerpt":"Attention Model has now become an important concept in neural networks that has been researched within diverse application domains. This survey provides a structured and comprehensive overview of the developments in modeling attention. In particular, we propose a taxonomy which groups existing techniques into coherent categories. We review salient neural architectures in which attention has been incorporated, and discuss applications in which modeling attention has shown a significant impact. We also describe how attention has been used to improve the interpretability of neural networks. Final"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02874","kind":"arxiv","version":3},"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/1904.02874/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":"2026-07-05T02:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/VbyrOX7LO8NPG560/UQelqS4m91c+L7mAnTzii313O9EPrQe59WNaIH+26DdyPpexV77KudID+ZzdydY1CVCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T22:12:27.857793Z"},"content_sha256":"09285ce7f8bca900ccb967b13ebf87b495370cd3b5d959163c5c2889db3f79c3","schema_version":"1.0","event_id":"sha256:09285ce7f8bca900ccb967b13ebf87b495370cd3b5d959163c5c2889db3f79c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/bundle.json","state_url":"https://pith.science/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/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":"2026-08-20T22:12:27Z","links":{"resolver":"https://pith.science/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ","bundle":"https://pith.science/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/bundle.json","state":"https://pith.science/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EQTTRFPURQXCJEUP6HQE4OPNJJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EQTTRFPURQXCJEUP6HQE4OPNJJ","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":"83b1556cee7366a545bd2c5cc8c73b937d7e5050816d3a69e05a65ce8e213775","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-04-05T05:26:59Z","title_canon_sha256":"959aa757843f40c3a6ec698357ca0bfac159a119d29ffad17f45963dd5749459"},"schema_version":"1.0","source":{"id":"1904.02874","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.02874","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1904.02874v3","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02874","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"EQTTRFPURQXC","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_16","alias_value":"EQTTRFPURQXCJEUP","created_at":"2026-07-05T02:56:52Z"},{"alias_kind":"pith_short_8","alias_value":"EQTTRFPU","created_at":"2026-07-05T02:56:52Z"}],"graph_snapshots":[{"event_id":"sha256:09285ce7f8bca900ccb967b13ebf87b495370cd3b5d959163c5c2889db3f79c3","target":"graph","created_at":"2026-07-05T02:56:52Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1904.02874/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Attention Model has now become an important concept in neural networks that has been researched within diverse application domains. This survey provides a structured and comprehensive overview of the developments in modeling attention. In particular, we propose a taxonomy which groups existing techniques into coherent categories. We review salient neural architectures in which attention has been incorporated, and discuss applications in which modeling attention has shown a significant impact. We also describe how attention has been used to improve the interpretability of neural networks. Final","authors_text":"Gungor Polatkan, Rohan Ramanath, Sneha Chaudhari, Varun Mithal","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-04-05T05:26:59Z","title":"An Attentive Survey of Attention Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02874","kind":"arxiv","version":3},"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:d4f92419234e21db60ef197a6188df99ecc1c79d2bd36cde474a3bb981d225c4","target":"record","created_at":"2026-07-05T02:56:52Z","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":"83b1556cee7366a545bd2c5cc8c73b937d7e5050816d3a69e05a65ce8e213775","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2019-04-05T05:26:59Z","title_canon_sha256":"959aa757843f40c3a6ec698357ca0bfac159a119d29ffad17f45963dd5749459"},"schema_version":"1.0","source":{"id":"1904.02874","kind":"arxiv","version":3}},"canonical_sha256":"24273895f48c2e24928ff1e04e39ed4a41144a5c3cc452e9053a6feaf26760ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24273895f48c2e24928ff1e04e39ed4a41144a5c3cc452e9053a6feaf26760ec","first_computed_at":"2026-07-05T02:56:52.295643Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:56:52.295643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l1HM6ozbPSG/CNSS3RwvDW6ywqDZe/tGHpVIi3f7yAY4qrUt0pBHcY9V74+t8u34ANDy6HwNEmKvujMQuqy9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:56:52.296169Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.02874","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4f92419234e21db60ef197a6188df99ecc1c79d2bd36cde474a3bb981d225c4","sha256:09285ce7f8bca900ccb967b13ebf87b495370cd3b5d959163c5c2889db3f79c3"],"state_sha256":"3bb93ced19ed0b739c409a0a02790575b2097d4b2d81c8eb0581d787e33d4290"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8kvwfh+Wl9QyitXT1O3KDs6acR6hjIAyYz2CFOKi1O58Zirmr+0wWHZjZq+8hQhL2Pz0gazT4omsMmHfT5jACA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T22:12:27.863311Z","bundle_sha256":"1a7381b74e658966b483b6bcf4af32396e9f1265c0d4e343dc16a9de5f7a7f01"}}