{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5PTSRVGB5YWBMDUDQX7EPYUSPX","short_pith_number":"pith:5PTSRVGB","canonical_record":{"source":{"id":"2002.10665","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-02-25T04:56:47Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a969d5e63702cbcd1f473aacf092392f6d967c4eb379bdfd01e5cb746175a7b6","abstract_canon_sha256":"17915dec4ae20e6f417d030bdd71a60e377e7f77660272ca25bf8f58563b88d9"},"schema_version":"1.0"},"canonical_sha256":"ebe728d4c1ee2c160e8385fe47e2927de681daabc94cfb6f879f67d7ad17c8c4","source":{"kind":"arxiv","id":"2002.10665","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10665","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10665v1","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10665","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"5PTSRVGB5YWB","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"5PTSRVGB5YWBMDUD","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"5PTSRVGB","created_at":"2026-07-05T00:43:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5PTSRVGB5YWBMDUDQX7EPYUSPX","target":"record","payload":{"canonical_record":{"source":{"id":"2002.10665","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-02-25T04:56:47Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a969d5e63702cbcd1f473aacf092392f6d967c4eb379bdfd01e5cb746175a7b6","abstract_canon_sha256":"17915dec4ae20e6f417d030bdd71a60e377e7f77660272ca25bf8f58563b88d9"},"schema_version":"1.0"},"canonical_sha256":"ebe728d4c1ee2c160e8385fe47e2927de681daabc94cfb6f879f67d7ad17c8c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:24.121199Z","signature_b64":"QwjlYk1FMdIXXvK6NZiehZm/dwSzBOVDLbSgjJi2TtWrsp8ejkNbSCFm2POjxzcZbxVOuGBsQbTZck4rghYxAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebe728d4c1ee2c160e8385fe47e2927de681daabc94cfb6f879f67d7ad17c8c4","last_reissued_at":"2026-07-05T00:43:24.120747Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:24.120747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.10665","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":"2026-07-05T00:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0CBsv9MSrWu9fMinVdq0zmFz9ReFmgMj89b5iGTzXb3UKsKuAmTWek8Qn5b4yuzdUmOzg8o7qV6woHIY9/dJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:12:15.657212Z"},"content_sha256":"f1321da5dd073880565dc0e8b00c268dbcd7a0d725f3e3468229127c0638804f","schema_version":"1.0","event_id":"sha256:f1321da5dd073880565dc0e8b00c268dbcd7a0d725f3e3468229127c0638804f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5PTSRVGB5YWBMDUDQX7EPYUSPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Declarative Memory-based Structure for the Representation of Text Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Pragya Kashmira, Shyamanta M Hazarika, Sumant Pushp","submitted_at":"2020-02-25T04:56:47Z","abstract_excerpt":"In the era of intelligent computing, computational progress in text processing is an essential consideration. Many systems have been developed to process text over different languages. Though, there is considerable development, they still lack in understanding of the text, i.e., instead of keeping text as knowledge, many treat text as a data. In this work we introduce a text representation scheme which is influenced by human memory infrastructure. Since texts are declarative in nature, a structural organization would foster efficient computation over text. We exploit long term episodic memory "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10665","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/2002.10665/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":"2026-07-05T00:43:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bHHk6s3IGJUzugCFEHrRM+lO6mifEJhoqn3f8doS3gF/qzrHZtppF7XpzULRHFscvYQ0eV87M2mPo1lOah5TDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T10:12:15.657732Z"},"content_sha256":"9bb51a53aac63621e8c098d3fa57e1744e1371696e5539ef270e0ab38d3df675","schema_version":"1.0","event_id":"sha256:9bb51a53aac63621e8c098d3fa57e1744e1371696e5539ef270e0ab38d3df675"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/bundle.json","state_url":"https://pith.science/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/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":"2026-08-06T10:12:15Z","links":{"resolver":"https://pith.science/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX","bundle":"https://pith.science/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/bundle.json","state":"https://pith.science/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PTSRVGB5YWBMDUDQX7EPYUSPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5PTSRVGB5YWBMDUDQX7EPYUSPX","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":"17915dec4ae20e6f417d030bdd71a60e377e7f77660272ca25bf8f58563b88d9","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-02-25T04:56:47Z","title_canon_sha256":"a969d5e63702cbcd1f473aacf092392f6d967c4eb379bdfd01e5cb746175a7b6"},"schema_version":"1.0","source":{"id":"2002.10665","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10665","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10665v1","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10665","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_12","alias_value":"5PTSRVGB5YWB","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_16","alias_value":"5PTSRVGB5YWBMDUD","created_at":"2026-07-05T00:43:24Z"},{"alias_kind":"pith_short_8","alias_value":"5PTSRVGB","created_at":"2026-07-05T00:43:24Z"}],"graph_snapshots":[{"event_id":"sha256:9bb51a53aac63621e8c098d3fa57e1744e1371696e5539ef270e0ab38d3df675","target":"graph","created_at":"2026-07-05T00:43:24Z","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/2002.10665/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of intelligent computing, computational progress in text processing is an essential consideration. Many systems have been developed to process text over different languages. Though, there is considerable development, they still lack in understanding of the text, i.e., instead of keeping text as knowledge, many treat text as a data. In this work we introduce a text representation scheme which is influenced by human memory infrastructure. Since texts are declarative in nature, a structural organization would foster efficient computation over text. We exploit long term episodic memory ","authors_text":"Pragya Kashmira, Shyamanta M Hazarika, Sumant Pushp","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-02-25T04:56:47Z","title":"Declarative Memory-based Structure for the Representation of Text Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10665","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:f1321da5dd073880565dc0e8b00c268dbcd7a0d725f3e3468229127c0638804f","target":"record","created_at":"2026-07-05T00:43:24Z","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":"17915dec4ae20e6f417d030bdd71a60e377e7f77660272ca25bf8f58563b88d9","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2020-02-25T04:56:47Z","title_canon_sha256":"a969d5e63702cbcd1f473aacf092392f6d967c4eb379bdfd01e5cb746175a7b6"},"schema_version":"1.0","source":{"id":"2002.10665","kind":"arxiv","version":1}},"canonical_sha256":"ebe728d4c1ee2c160e8385fe47e2927de681daabc94cfb6f879f67d7ad17c8c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebe728d4c1ee2c160e8385fe47e2927de681daabc94cfb6f879f67d7ad17c8c4","first_computed_at":"2026-07-05T00:43:24.120747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:43:24.120747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QwjlYk1FMdIXXvK6NZiehZm/dwSzBOVDLbSgjJi2TtWrsp8ejkNbSCFm2POjxzcZbxVOuGBsQbTZck4rghYxAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:43:24.121199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.10665","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1321da5dd073880565dc0e8b00c268dbcd7a0d725f3e3468229127c0638804f","sha256:9bb51a53aac63621e8c098d3fa57e1744e1371696e5539ef270e0ab38d3df675"],"state_sha256":"abee31ecf8fa6fe83a7a4ce477efefee2bbf01fda98786a3e56ef9c02d4defe0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZdErRzYqFYW3+XTFdw+AGJlqRE9Dx4oDiqxQAVonZ3ao6PWUGvxnB0xW70VY9WAvdRMw3bN8gzAB/32+uiofDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T10:12:15.661897Z","bundle_sha256":"4cd9dc4561ca5d483b9dd5eab54ddce9daba8a83d10a7c421504f80b9f93c32c"}}