{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:32LCVD7XM66AHDGVDDQ4AY2UYZ","short_pith_number":"pith:32LCVD7X","canonical_record":{"source":{"id":"2404.16726","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T16:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"16ae9835d098a993a8fb619f7283cbe633a00aa82ea9472076ab68136f58922a","abstract_canon_sha256":"492e92f67d915e47049df9eba55a05af84aca2f4e7b5b541a2e1c21835aafeaf"},"schema_version":"1.0"},"canonical_sha256":"de962a8ff767bc038cd518e1c06354c644592edaf65525275d6011893a428b92","source":{"kind":"arxiv","id":"2404.16726","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16726","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16726v2","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16726","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_12","alias_value":"32LCVD7XM66A","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_16","alias_value":"32LCVD7XM66AHDGV","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_8","alias_value":"32LCVD7X","created_at":"2026-07-05T08:13:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:32LCVD7XM66AHDGVDDQ4AY2UYZ","target":"record","payload":{"canonical_record":{"source":{"id":"2404.16726","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T16:39:32Z","cross_cats_sorted":[],"title_canon_sha256":"16ae9835d098a993a8fb619f7283cbe633a00aa82ea9472076ab68136f58922a","abstract_canon_sha256":"492e92f67d915e47049df9eba55a05af84aca2f4e7b5b541a2e1c21835aafeaf"},"schema_version":"1.0"},"canonical_sha256":"de962a8ff767bc038cd518e1c06354c644592edaf65525275d6011893a428b92","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:33.772242Z","signature_b64":"pJK2zltLJLexV+RgDHwlHROI5gr6Xc306C27pw5shbSkvaKk1X2Q0yjnyGHhabKhTxXGbVogvByU1NSpJjwIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de962a8ff767bc038cd518e1c06354c644592edaf65525275d6011893a428b92","last_reissued_at":"2026-07-05T08:13:33.771771Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:33.771771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.16726","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NYazBgXah0349YNIa1ZuQR1pYV0nav0Z3y43ogBarXUJaCy2uMcFuWv7C705/e99WtxP96L5WVe9XDugBOfaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:33:25.603125Z"},"content_sha256":"d569bd7895f18827b78728caf621faa7a16af49bef8da8ca655d5fdd7a392c5f","schema_version":"1.0","event_id":"sha256:d569bd7895f18827b78728caf621faa7a16af49bef8da8ca655d5fdd7a392c5f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:32LCVD7XM66AHDGVDDQ4AY2UYZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anett Schuelke, Christian Meilicke, Federico Errica, Heiner Stuckenschmidt, Julia Gastinger, Timo Sztyler","submitted_at":"2024-04-25T16:39:32Z","abstract_excerpt":"Temporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs. To this day, standardized evaluation protocols and rigorous comparison across TKG models are available, but the importance of simple baselines is often neglected in the evaluation, which prevents researchers from discerning actual and fictitious progress. We propose to close this gap by designing an intuitive baseline for TKG Forecasting based on predicting recurring facts. Compared to most TKG models, it requires little hyperparameter tuning and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16726","kind":"arxiv","version":2},"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/2404.16726/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":"2026-07-05T08:13:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iCmz7Dijiv0ya6vGNzDDcogut6uIB/VTx9p3exjLtr4AthqkkwEHghFquZPsqBhDZ1P3a6pWc8yBKHkhCCj1AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:33:25.603685Z"},"content_sha256":"e91e52de677b95d0ef733730732d09c268fa23e6153d41fac51a30f61dcf9376","schema_version":"1.0","event_id":"sha256:e91e52de677b95d0ef733730732d09c268fa23e6153d41fac51a30f61dcf9376"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/bundle.json","state_url":"https://pith.science/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/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":"2026-08-09T18:33:25Z","links":{"resolver":"https://pith.science/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ","bundle":"https://pith.science/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/bundle.json","state":"https://pith.science/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/32LCVD7XM66AHDGVDDQ4AY2UYZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:32LCVD7XM66AHDGVDDQ4AY2UYZ","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":"492e92f67d915e47049df9eba55a05af84aca2f4e7b5b541a2e1c21835aafeaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T16:39:32Z","title_canon_sha256":"16ae9835d098a993a8fb619f7283cbe633a00aa82ea9472076ab68136f58922a"},"schema_version":"1.0","source":{"id":"2404.16726","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.16726","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"arxiv_version","alias_value":"2404.16726v2","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.16726","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_12","alias_value":"32LCVD7XM66A","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_16","alias_value":"32LCVD7XM66AHDGV","created_at":"2026-07-05T08:13:33Z"},{"alias_kind":"pith_short_8","alias_value":"32LCVD7X","created_at":"2026-07-05T08:13:33Z"}],"graph_snapshots":[{"event_id":"sha256:e91e52de677b95d0ef733730732d09c268fa23e6153d41fac51a30f61dcf9376","target":"graph","created_at":"2026-07-05T08:13:33Z","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/2404.16726/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal Knowledge Graph (TKG) Forecasting aims at predicting links in Knowledge Graphs for future timesteps based on a history of Knowledge Graphs. To this day, standardized evaluation protocols and rigorous comparison across TKG models are available, but the importance of simple baselines is often neglected in the evaluation, which prevents researchers from discerning actual and fictitious progress. We propose to close this gap by designing an intuitive baseline for TKG Forecasting based on predicting recurring facts. Compared to most TKG models, it requires little hyperparameter tuning and ","authors_text":"Anett Schuelke, Christian Meilicke, Federico Errica, Heiner Stuckenschmidt, Julia Gastinger, Timo Sztyler","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T16:39:32Z","title":"History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.16726","kind":"arxiv","version":2},"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:d569bd7895f18827b78728caf621faa7a16af49bef8da8ca655d5fdd7a392c5f","target":"record","created_at":"2026-07-05T08:13:33Z","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":"492e92f67d915e47049df9eba55a05af84aca2f4e7b5b541a2e1c21835aafeaf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-04-25T16:39:32Z","title_canon_sha256":"16ae9835d098a993a8fb619f7283cbe633a00aa82ea9472076ab68136f58922a"},"schema_version":"1.0","source":{"id":"2404.16726","kind":"arxiv","version":2}},"canonical_sha256":"de962a8ff767bc038cd518e1c06354c644592edaf65525275d6011893a428b92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de962a8ff767bc038cd518e1c06354c644592edaf65525275d6011893a428b92","first_computed_at":"2026-07-05T08:13:33.771771Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:33.771771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pJK2zltLJLexV+RgDHwlHROI5gr6Xc306C27pw5shbSkvaKk1X2Q0yjnyGHhabKhTxXGbVogvByU1NSpJjwIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:33.772242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.16726","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d569bd7895f18827b78728caf621faa7a16af49bef8da8ca655d5fdd7a392c5f","sha256:e91e52de677b95d0ef733730732d09c268fa23e6153d41fac51a30f61dcf9376"],"state_sha256":"3a851faeeef68d562113594487f789177100fa22fd1073120ff56aaab869c68d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FBAOP82EEXDKJOXXLdCF9YqJYphpLikO/cTIaRFYGeshBZXzeBf0UhKH659p9qGfFKmi2cOl3RHTzRbFUePjCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:33:25.609522Z","bundle_sha256":"c839e75544961063e73ba2684537fc1ae08bd97467c9bf4ee9a1d23665d5c1f2"}}