{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:4XKZ7UPPFQZLCBKZOO7SBYUTEW","short_pith_number":"pith:4XKZ7UPP","canonical_record":{"source":{"id":"1403.1713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2014-03-07T10:35:40Z","cross_cats_sorted":[],"title_canon_sha256":"cf95efae75429f32ba98868bfd552d3badef3d8d8679292898b8d67fe0db8f5f","abstract_canon_sha256":"c82f8ba7e486c4203521e4fec64d8b3e16443524164876d1d08e69f8bcc919e5"},"schema_version":"1.0"},"canonical_sha256":"e5d59fd1ef2c32b1055973bf20e2932590cf2b6441e3a0444b3d1c000de37694","source":{"kind":"arxiv","id":"1403.1713","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.1713","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1403.1713v1","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.1713","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"4XKZ7UPPFQZL","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"4XKZ7UPPFQZLCBKZ","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"4XKZ7UPP","created_at":"2026-05-18T12:28:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:4XKZ7UPPFQZLCBKZOO7SBYUTEW","target":"record","payload":{"canonical_record":{"source":{"id":"1403.1713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2014-03-07T10:35:40Z","cross_cats_sorted":[],"title_canon_sha256":"cf95efae75429f32ba98868bfd552d3badef3d8d8679292898b8d67fe0db8f5f","abstract_canon_sha256":"c82f8ba7e486c4203521e4fec64d8b3e16443524164876d1d08e69f8bcc919e5"},"schema_version":"1.0"},"canonical_sha256":"e5d59fd1ef2c32b1055973bf20e2932590cf2b6441e3a0444b3d1c000de37694","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:56:52.739476Z","signature_b64":"4klIiqQ0pbn0edTWpAeSSsPHxMm9dBc5poA8q//F2/8zwTo8ke+rLJQ6xGguYGCc7QP/k+F/0kg3iMlpBA2oDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5d59fd1ef2c32b1055973bf20e2932590cf2b6441e3a0444b3d1c000de37694","last_reissued_at":"2026-05-18T02:56:52.738793Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:56:52.738793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1403.1713","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":"2026-05-18T02:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T1zvuvkk+oAcbDWim/n6v96jmjIqWoXbmSEGER0nXZYgS91fU/NOzLgwSWzMroHCThBb+BZefI7z5g2ZAyawBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:50:02.200650Z"},"content_sha256":"1e3161db72680d85887ada8bda9d6fc3736be41fdc89551f04c283f121901965","schema_version":"1.0","event_id":"sha256:1e3161db72680d85887ada8bda9d6fc3736be41fdc89551f04c283f121901965"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:4XKZ7UPPFQZLCBKZOO7SBYUTEW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The time series forecasting: from the aspect of network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.data-an","authors_text":"Q. Liu, S. Chen, X. Lan, Y. Deng, Y. Hu","submitted_at":"2014-03-07T10:35:40Z","abstract_excerpt":"Forecasting can estimate the statement of events according to the historical data and it is considerably important in many disciplines. At present, time series models have been utilized to solve forecasting problems in various domains. In general, researchers use curve fitting and parameter estimation methods (moment estimation, maximum likelihood estimation and least square method) to forecast. In this paper, a new sight is given to the forecasting and a completely different method is proposed to forecast time series. Inspired by the visibility graph and link prediction, this letter converts "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.1713","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":"2026-05-18T02:56:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UpTwGB3FBX+I39FHZyAmYOd1vFYpfXGARIrxnRl6pDoQQ0LNlQqFFo/yVKTdowGOUWYm5GFpHfdha40/x3abAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T22:50:02.201249Z"},"content_sha256":"7b416ed15f18b53d7e5a26de8af982993718ab4988153e99cee7ccb32cf954f1","schema_version":"1.0","event_id":"sha256:7b416ed15f18b53d7e5a26de8af982993718ab4988153e99cee7ccb32cf954f1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/bundle.json","state_url":"https://pith.science/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/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":"2026-05-26T22:50:02Z","links":{"resolver":"https://pith.science/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW","bundle":"https://pith.science/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/bundle.json","state":"https://pith.science/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4XKZ7UPPFQZLCBKZOO7SBYUTEW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:4XKZ7UPPFQZLCBKZOO7SBYUTEW","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":"c82f8ba7e486c4203521e4fec64d8b3e16443524164876d1d08e69f8bcc919e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2014-03-07T10:35:40Z","title_canon_sha256":"cf95efae75429f32ba98868bfd552d3badef3d8d8679292898b8d67fe0db8f5f"},"schema_version":"1.0","source":{"id":"1403.1713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.1713","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"1403.1713v1","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.1713","created_at":"2026-05-18T02:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"4XKZ7UPPFQZL","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"4XKZ7UPPFQZLCBKZ","created_at":"2026-05-18T12:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"4XKZ7UPP","created_at":"2026-05-18T12:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:7b416ed15f18b53d7e5a26de8af982993718ab4988153e99cee7ccb32cf954f1","target":"graph","created_at":"2026-05-18T02:56:52Z","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"},"paper":{"abstract_excerpt":"Forecasting can estimate the statement of events according to the historical data and it is considerably important in many disciplines. At present, time series models have been utilized to solve forecasting problems in various domains. In general, researchers use curve fitting and parameter estimation methods (moment estimation, maximum likelihood estimation and least square method) to forecast. In this paper, a new sight is given to the forecasting and a completely different method is proposed to forecast time series. Inspired by the visibility graph and link prediction, this letter converts ","authors_text":"Q. Liu, S. Chen, X. Lan, Y. Deng, Y. Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2014-03-07T10:35:40Z","title":"The time series forecasting: from the aspect of network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.1713","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":"sha256:1e3161db72680d85887ada8bda9d6fc3736be41fdc89551f04c283f121901965","target":"record","created_at":"2026-05-18T02:56:52Z","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":"c82f8ba7e486c4203521e4fec64d8b3e16443524164876d1d08e69f8bcc919e5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2014-03-07T10:35:40Z","title_canon_sha256":"cf95efae75429f32ba98868bfd552d3badef3d8d8679292898b8d67fe0db8f5f"},"schema_version":"1.0","source":{"id":"1403.1713","kind":"arxiv","version":1}},"canonical_sha256":"e5d59fd1ef2c32b1055973bf20e2932590cf2b6441e3a0444b3d1c000de37694","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5d59fd1ef2c32b1055973bf20e2932590cf2b6441e3a0444b3d1c000de37694","first_computed_at":"2026-05-18T02:56:52.738793Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:56:52.738793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4klIiqQ0pbn0edTWpAeSSsPHxMm9dBc5poA8q//F2/8zwTo8ke+rLJQ6xGguYGCc7QP/k+F/0kg3iMlpBA2oDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:56:52.739476Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.1713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e3161db72680d85887ada8bda9d6fc3736be41fdc89551f04c283f121901965","sha256:7b416ed15f18b53d7e5a26de8af982993718ab4988153e99cee7ccb32cf954f1"],"state_sha256":"03eb5d402a8ae7483716173f0aa23cefa1d531fcec10569981a0a3a73d8be8cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vkQGlKjuXvEFtrsf+FrXIPaBPrb1oyp+y/8OY2NDboce21bpSrtffd4VuIHaYRMjU23YqGoGLIaCa1wIfSZsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T22:50:02.204307Z","bundle_sha256":"34b69a860953207b97a180a263cbabd85a3571f5c23428460d8e46bbcea1c590"}}