{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:TJNRUYPQPYCAIDI5SNNTL7TRHA","short_pith_number":"pith:TJNRUYPQ","canonical_record":{"source":{"id":"1608.01298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-08-03T19:34:13Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"0bd6690d10d0a14fc234300a23f1f5a1cc9f21a2ee3b9fb0cbd9a0491eba233d","abstract_canon_sha256":"f0332c03157cc2a3e81a36389fb6dd68ea43ca9b8d1b188129e381c9b355dc26"},"schema_version":"1.0"},"canonical_sha256":"9a5b1a61f07e04040d1d935b35fe713824c2c7bfe919e9d070e3e0d7bf7dd1c4","source":{"kind":"arxiv","id":"1608.01298","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01298","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01298v1","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01298","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"TJNRUYPQPYCA","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"TJNRUYPQPYCAIDI5","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"TJNRUYPQ","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:TJNRUYPQPYCAIDI5SNNTL7TRHA","target":"record","payload":{"canonical_record":{"source":{"id":"1608.01298","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-08-03T19:34:13Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"0bd6690d10d0a14fc234300a23f1f5a1cc9f21a2ee3b9fb0cbd9a0491eba233d","abstract_canon_sha256":"f0332c03157cc2a3e81a36389fb6dd68ea43ca9b8d1b188129e381c9b355dc26"},"schema_version":"1.0"},"canonical_sha256":"9a5b1a61f07e04040d1d935b35fe713824c2c7bfe919e9d070e3e0d7bf7dd1c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:55.949226Z","signature_b64":"zdJhGZg/Fa/abUlS5H4OZy/K+SO568qlzvTCBCRlX/ZpMjs3wde1F1LjtI2s7/KbbtTu2CfYQKvfr0JWa9PeAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a5b1a61f07e04040d1d935b35fe713824c2c7bfe919e9d070e3e0d7bf7dd1c4","last_reissued_at":"2026-05-18T01:09:55.948351Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:55.948351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.01298","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":"2026-05-18T01:09:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JEupmIMQcf8EX6OSxon/JtTHaTcybuxA4f3Fv9ZP8ord1sWC6/WDAZkN5XMg/QTJbb6p7xXxRINNFKtHWOdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T08:47:28.685253Z"},"content_sha256":"f84def3b6f3a7f510b47a8524c07007fc93452c4d72c44e170d6a65a5440cd9c","schema_version":"1.0","event_id":"sha256:f84def3b6f3a7f510b47a8524c07007fc93452c4d72c44e170d6a65a5440cd9c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:TJNRUYPQPYCAIDI5SNNTL7TRHA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Physical Metaphor to Study Semantic Drift","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.CL","authors_text":"Efstratios Kontopoulos, Konstantinos Konstantinidis, Peter Wittek, S\\'andor Dar\\'anyi, Symeon Papadopoulos","submitted_at":"2016-08-03T19:34:13Z","abstract_excerpt":"In accessibility tests for digital preservation, over time we experience drifts of localized and labelled content in statistical models of evolving semantics represented as a vector field. This articulates the need to detect, measure, interpret and model outcomes of knowledge dynamics. To this end we employ a high-performance machine learning algorithm for the training of extremely large emergent self-organizing maps for exploratory data analysis. The working hypothesis we present here is that the dynamics of semantic drifts can be modeled on a relaxed version of Newtonian mechanics called soc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01298","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":""},"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":"2026-05-18T01:09:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3p7V3VlzY4sA60cra9EHA8ehqX5JdSNt5qKo2H7GrTPT3+re4y9lRJFkINXiqx9YxXZlof6TWyi38jk+kVUQAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T08:47:28.685830Z"},"content_sha256":"b9b795da77507d7980e0162f5cf5e2f5429bc079824ba26328370d0e28aea0db","schema_version":"1.0","event_id":"sha256:b9b795da77507d7980e0162f5cf5e2f5429bc079824ba26328370d0e28aea0db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/bundle.json","state_url":"https://pith.science/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/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":"2026-05-31T08:47:28Z","links":{"resolver":"https://pith.science/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA","bundle":"https://pith.science/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/bundle.json","state":"https://pith.science/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJNRUYPQPYCAIDI5SNNTL7TRHA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:TJNRUYPQPYCAIDI5SNNTL7TRHA","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":"f0332c03157cc2a3e81a36389fb6dd68ea43ca9b8d1b188129e381c9b355dc26","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-08-03T19:34:13Z","title_canon_sha256":"0bd6690d10d0a14fc234300a23f1f5a1cc9f21a2ee3b9fb0cbd9a0491eba233d"},"schema_version":"1.0","source":{"id":"1608.01298","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01298","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01298v1","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01298","created_at":"2026-05-18T01:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"TJNRUYPQPYCA","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"TJNRUYPQPYCAIDI5","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"TJNRUYPQ","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:b9b795da77507d7980e0162f5cf5e2f5429bc079824ba26328370d0e28aea0db","target":"graph","created_at":"2026-05-18T01:09:55Z","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":"In accessibility tests for digital preservation, over time we experience drifts of localized and labelled content in statistical models of evolving semantics represented as a vector field. This articulates the need to detect, measure, interpret and model outcomes of knowledge dynamics. To this end we employ a high-performance machine learning algorithm for the training of extremely large emergent self-organizing maps for exploratory data analysis. The working hypothesis we present here is that the dynamics of semantic drifts can be modeled on a relaxed version of Newtonian mechanics called soc","authors_text":"Efstratios Kontopoulos, Konstantinos Konstantinidis, Peter Wittek, S\\'andor Dar\\'anyi, Symeon Papadopoulos","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-08-03T19:34:13Z","title":"A Physical Metaphor to Study Semantic Drift"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01298","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:f84def3b6f3a7f510b47a8524c07007fc93452c4d72c44e170d6a65a5440cd9c","target":"record","created_at":"2026-05-18T01:09:55Z","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":"f0332c03157cc2a3e81a36389fb6dd68ea43ca9b8d1b188129e381c9b355dc26","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-08-03T19:34:13Z","title_canon_sha256":"0bd6690d10d0a14fc234300a23f1f5a1cc9f21a2ee3b9fb0cbd9a0491eba233d"},"schema_version":"1.0","source":{"id":"1608.01298","kind":"arxiv","version":1}},"canonical_sha256":"9a5b1a61f07e04040d1d935b35fe713824c2c7bfe919e9d070e3e0d7bf7dd1c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a5b1a61f07e04040d1d935b35fe713824c2c7bfe919e9d070e3e0d7bf7dd1c4","first_computed_at":"2026-05-18T01:09:55.948351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:09:55.948351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zdJhGZg/Fa/abUlS5H4OZy/K+SO568qlzvTCBCRlX/ZpMjs3wde1F1LjtI2s7/KbbtTu2CfYQKvfr0JWa9PeAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:09:55.949226Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.01298","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f84def3b6f3a7f510b47a8524c07007fc93452c4d72c44e170d6a65a5440cd9c","sha256:b9b795da77507d7980e0162f5cf5e2f5429bc079824ba26328370d0e28aea0db"],"state_sha256":"de99ca7aca891088386eb119297b2811ce43d8a59722540776f6325b13c12bf5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e79u2v4DSG65xPMWO+76oKPUeeA+8gK5Cd6pNyolF+APLONLzd0ZCHFvm59fhJwGZzR7NFJysCvVPhMrrlPuDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T08:47:28.688830Z","bundle_sha256":"6e7b5034a3d05193097bc38f776ece758b0ca0131ac4e409596f04b70238eaae"}}