{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:X4YFWTGQK53YKIHY4H3HTN5GTU","short_pith_number":"pith:X4YFWTGQ","canonical_record":{"source":{"id":"2203.00937","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T08:39:33Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"4b419fd0cf6dc8760e4903e93ffa90e9b78d6dad4c3b0cdac03b2282b8759557","abstract_canon_sha256":"e8faf2af38f08cf8d87a75edf25b827ee794ffc7aef3cdac9a4764c209afbeb0"},"schema_version":"1.0"},"canonical_sha256":"bf305b4cd057778520f8e1f679b7a69d0661a9f231f899531b63c2d7a30c1406","source":{"kind":"arxiv","id":"2203.00937","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00937","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00937v1","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00937","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_12","alias_value":"X4YFWTGQK53Y","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_16","alias_value":"X4YFWTGQK53YKIHY","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_8","alias_value":"X4YFWTGQ","created_at":"2026-07-05T04:01:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:X4YFWTGQK53YKIHY4H3HTN5GTU","target":"record","payload":{"canonical_record":{"source":{"id":"2203.00937","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T08:39:33Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"4b419fd0cf6dc8760e4903e93ffa90e9b78d6dad4c3b0cdac03b2282b8759557","abstract_canon_sha256":"e8faf2af38f08cf8d87a75edf25b827ee794ffc7aef3cdac9a4764c209afbeb0"},"schema_version":"1.0"},"canonical_sha256":"bf305b4cd057778520f8e1f679b7a69d0661a9f231f899531b63c2d7a30c1406","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:01:35.595770Z","signature_b64":"zc60UGHI/wGzKfoBKesOQo73ys13ku+A9207APdh8JuaeDXfNnpE5cVEgbotaZiVOIp/hOjJ6UkQ9EwxMvw4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf305b4cd057778520f8e1f679b7a69d0661a9f231f899531b63c2d7a30c1406","last_reissued_at":"2026-07-05T04:01:35.595405Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:01:35.595405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.00937","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":"2026-07-05T04:01:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"atXUFa6qb5mDCMQ16tlJTz+/LbRb1dwRikRAiYvdL5MEDTKN+sWbYD3QZRuyITSdidK+Y3b1pKx1scIcoNYZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:15:54.980721Z"},"content_sha256":"e23fb49b686c1c3f322c3404c1b588d88c2e0c2b456f833eb8a1b5c0d637f1e3","schema_version":"1.0","event_id":"sha256:e23fb49b686c1c3f322c3404c1b588d88c2e0c2b456f833eb8a1b5c0d637f1e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:X4YFWTGQK53YKIHY4H3HTN5GTU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ES-dRNN with Dynamic Attention for Short-Term Load Forecasting","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.LG","authors_text":"Grzegorz Dudek, Pawe{\\l} Pe{\\l}ka, Slawek Smyl","submitted_at":"2022-03-02T08:39:33Z","abstract_excerpt":"Short-term load forecasting (STLF) is a challenging problem due to the complex nature of the time series expressing multiple seasonality and varying variance. This paper proposes an extension of a hybrid forecasting model combining exponential smoothing and dilated recurrent neural network (ES-dRNN) with a mechanism for dynamic attention. We propose a new gated recurrent cell -- attentive dilated recurrent cell, which implements an attention mechanism for dynamic weighting of input vector components. The most relevant components are assigned greater weights, which are subsequently dynamically "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00937","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/2203.00937/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":"2026-07-05T04:01:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KRYR5vBwMyfzJVA48f3PWi60gr/rBp5kID/oLkHyNndlC16JXXnBmqD6ia4gBkA6dWfLnQqeIY+UGw23zrZkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T20:15:54.981112Z"},"content_sha256":"7a2a817229f92df5c73d86b21b4d2e7dea36cc59621760b9d84c678eeeda3438","schema_version":"1.0","event_id":"sha256:7a2a817229f92df5c73d86b21b4d2e7dea36cc59621760b9d84c678eeeda3438"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/bundle.json","state_url":"https://pith.science/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/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":"2026-08-19T20:15:54Z","links":{"resolver":"https://pith.science/pith/X4YFWTGQK53YKIHY4H3HTN5GTU","bundle":"https://pith.science/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/bundle.json","state":"https://pith.science/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X4YFWTGQK53YKIHY4H3HTN5GTU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:X4YFWTGQK53YKIHY4H3HTN5GTU","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":"e8faf2af38f08cf8d87a75edf25b827ee794ffc7aef3cdac9a4764c209afbeb0","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T08:39:33Z","title_canon_sha256":"4b419fd0cf6dc8760e4903e93ffa90e9b78d6dad4c3b0cdac03b2282b8759557"},"schema_version":"1.0","source":{"id":"2203.00937","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00937","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00937v1","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00937","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_12","alias_value":"X4YFWTGQK53Y","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_16","alias_value":"X4YFWTGQK53YKIHY","created_at":"2026-07-05T04:01:35Z"},{"alias_kind":"pith_short_8","alias_value":"X4YFWTGQ","created_at":"2026-07-05T04:01:35Z"}],"graph_snapshots":[{"event_id":"sha256:7a2a817229f92df5c73d86b21b4d2e7dea36cc59621760b9d84c678eeeda3438","target":"graph","created_at":"2026-07-05T04:01:35Z","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/2203.00937/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Short-term load forecasting (STLF) is a challenging problem due to the complex nature of the time series expressing multiple seasonality and varying variance. This paper proposes an extension of a hybrid forecasting model combining exponential smoothing and dilated recurrent neural network (ES-dRNN) with a mechanism for dynamic attention. We propose a new gated recurrent cell -- attentive dilated recurrent cell, which implements an attention mechanism for dynamic weighting of input vector components. The most relevant components are assigned greater weights, which are subsequently dynamically ","authors_text":"Grzegorz Dudek, Pawe{\\l} Pe{\\l}ka, Slawek Smyl","cross_cats":["cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T08:39:33Z","title":"ES-dRNN with Dynamic Attention for Short-Term Load Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00937","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:e23fb49b686c1c3f322c3404c1b588d88c2e0c2b456f833eb8a1b5c0d637f1e3","target":"record","created_at":"2026-07-05T04:01:35Z","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":"e8faf2af38f08cf8d87a75edf25b827ee794ffc7aef3cdac9a4764c209afbeb0","cross_cats_sorted":["cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T08:39:33Z","title_canon_sha256":"4b419fd0cf6dc8760e4903e93ffa90e9b78d6dad4c3b0cdac03b2282b8759557"},"schema_version":"1.0","source":{"id":"2203.00937","kind":"arxiv","version":1}},"canonical_sha256":"bf305b4cd057778520f8e1f679b7a69d0661a9f231f899531b63c2d7a30c1406","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf305b4cd057778520f8e1f679b7a69d0661a9f231f899531b63c2d7a30c1406","first_computed_at":"2026-07-05T04:01:35.595405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:01:35.595405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zc60UGHI/wGzKfoBKesOQo73ys13ku+A9207APdh8JuaeDXfNnpE5cVEgbotaZiVOIp/hOjJ6UkQ9EwxMvw4BA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:01:35.595770Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.00937","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e23fb49b686c1c3f322c3404c1b588d88c2e0c2b456f833eb8a1b5c0d637f1e3","sha256:7a2a817229f92df5c73d86b21b4d2e7dea36cc59621760b9d84c678eeeda3438"],"state_sha256":"44607d75007006a2a557a913e226030a546be95206171aec5a21351715f397d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UrlxJvU+C7fWreu7OHyPzDYpREirBn0IpvTw79nKmTsa78A0gI0qHFLbDimr0h/vf4Vo/w5nCMnd7s2/3NOOCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T20:15:54.983774Z","bundle_sha256":"f172d81984482e1834c7ecfa537e2e1dd626de6fe6c37d3d1772fda03097405a"}}