{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WSN7TKYT7AWPFUPFEYIZ3WQZ5W","short_pith_number":"pith:WSN7TKYT","canonical_record":{"source":{"id":"2606.27863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T09:05:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c6fa6099693eabf2fbfbb694b91638ce2a1ec220bf2589420fa1ce3654de1c5e","abstract_canon_sha256":"81d580863e01c3fedbf20f6c1767bf6ab4241673a90baf058b325331dbf32a9c"},"schema_version":"1.0"},"canonical_sha256":"b49bf9ab13f82cf2d1e526119dda19ed8aa5b9fdd447dfb013a6c2a92758c537","source":{"kind":"arxiv","id":"2606.27863","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27863","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27863v1","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27863","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_12","alias_value":"WSN7TKYT7AWP","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_16","alias_value":"WSN7TKYT7AWPFUPF","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_8","alias_value":"WSN7TKYT","created_at":"2026-06-29T01:14:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WSN7TKYT7AWPFUPFEYIZ3WQZ5W","target":"record","payload":{"canonical_record":{"source":{"id":"2606.27863","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T09:05:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c6fa6099693eabf2fbfbb694b91638ce2a1ec220bf2589420fa1ce3654de1c5e","abstract_canon_sha256":"81d580863e01c3fedbf20f6c1767bf6ab4241673a90baf058b325331dbf32a9c"},"schema_version":"1.0"},"canonical_sha256":"b49bf9ab13f82cf2d1e526119dda19ed8aa5b9fdd447dfb013a6c2a92758c537","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:14:51.024221Z","signature_b64":"x0z0DJRmkieGlrhr1Ch0U1ALzQtiWc5QdDJIUJvFEFStYTzpoBdJ7QvgZ4TA0vCiCoDoK5ELfncSc8/CzBFmBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b49bf9ab13f82cf2d1e526119dda19ed8aa5b9fdd447dfb013a6c2a92758c537","last_reissued_at":"2026-06-29T01:14:51.023826Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:14:51.023826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.27863","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":"2026-06-29T01:14:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SJ/URzXzC6uZwg7tpcJ9M6jXXo9dzhu+3TmWXdO/He61LdrI8ULFutepRdxqqROEi3fcnxqOQg9INhXgHxzPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:47:12.378751Z"},"content_sha256":"fbd0188424f9415a6ec2ae324e1fb6e9b4cddb43ed2e6ec2dfe50f70dca89b10","schema_version":"1.0","event_id":"sha256:fbd0188424f9415a6ec2ae324e1fb6e9b4cddb43ed2e6ec2dfe50f70dca89b10"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WSN7TKYT7AWPFUPFEYIZ3WQZ5W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Anirudh Deodhar, Dagnachew Birru, Janak M. Patel","submitted_at":"2026-06-26T09:05:15Z","abstract_excerpt":"Demand forecasting at the bottom of a retail hierarchy requires predicting tens of thousands of correlated long-horizon series across products, stores, and regions. Modern systems must scale across massive catalogs, capture shared demand dynamics, and remain interpretable enough to be trusted. Classical statistical methods need a separate model per series and are hard to manage at scale; deep autoregressive models struggle as the joint state grows to tens of thousands of dimensions; and recent graph-based forecasters, while capturing cross-entity dependencies, often produce opaque long-horizon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27863","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/2606.27863/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":"2026-06-29T01:14:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vDDEFw2YgJ7QRn+7EkjwGbdrRwKskL7hYSvJwH1/p6Gvtxh8Uwb0mjvSG7DH3zPQr/LI/nyB2tRK1PMnyoTgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:47:12.379083Z"},"content_sha256":"3d9bcfd1a8e2d622d6d5ba09d43572a23c8efd5fa3e48e5a9b618fc7c763f7a6","schema_version":"1.0","event_id":"sha256:3d9bcfd1a8e2d622d6d5ba09d43572a23c8efd5fa3e48e5a9b618fc7c763f7a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/bundle.json","state_url":"https://pith.science/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/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":"2026-08-05T11:47:12Z","links":{"resolver":"https://pith.science/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W","bundle":"https://pith.science/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/bundle.json","state":"https://pith.science/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSN7TKYT7AWPFUPFEYIZ3WQZ5W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WSN7TKYT7AWPFUPFEYIZ3WQZ5W","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":"81d580863e01c3fedbf20f6c1767bf6ab4241673a90baf058b325331dbf32a9c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T09:05:15Z","title_canon_sha256":"c6fa6099693eabf2fbfbb694b91638ce2a1ec220bf2589420fa1ce3654de1c5e"},"schema_version":"1.0","source":{"id":"2606.27863","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27863","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27863v1","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27863","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_12","alias_value":"WSN7TKYT7AWP","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_16","alias_value":"WSN7TKYT7AWPFUPF","created_at":"2026-06-29T01:14:51Z"},{"alias_kind":"pith_short_8","alias_value":"WSN7TKYT","created_at":"2026-06-29T01:14:51Z"}],"graph_snapshots":[{"event_id":"sha256:3d9bcfd1a8e2d622d6d5ba09d43572a23c8efd5fa3e48e5a9b618fc7c763f7a6","target":"graph","created_at":"2026-06-29T01:14:51Z","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/2606.27863/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Demand forecasting at the bottom of a retail hierarchy requires predicting tens of thousands of correlated long-horizon series across products, stores, and regions. Modern systems must scale across massive catalogs, capture shared demand dynamics, and remain interpretable enough to be trusted. Classical statistical methods need a separate model per series and are hard to manage at scale; deep autoregressive models struggle as the joint state grows to tens of thousands of dimensions; and recent graph-based forecasters, while capturing cross-entity dependencies, often produce opaque long-horizon","authors_text":"Anirudh Deodhar, Dagnachew Birru, Janak M. Patel","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T09:05:15Z","title":"GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27863","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:fbd0188424f9415a6ec2ae324e1fb6e9b4cddb43ed2e6ec2dfe50f70dca89b10","target":"record","created_at":"2026-06-29T01:14:51Z","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":"81d580863e01c3fedbf20f6c1767bf6ab4241673a90baf058b325331dbf32a9c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-26T09:05:15Z","title_canon_sha256":"c6fa6099693eabf2fbfbb694b91638ce2a1ec220bf2589420fa1ce3654de1c5e"},"schema_version":"1.0","source":{"id":"2606.27863","kind":"arxiv","version":1}},"canonical_sha256":"b49bf9ab13f82cf2d1e526119dda19ed8aa5b9fdd447dfb013a6c2a92758c537","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b49bf9ab13f82cf2d1e526119dda19ed8aa5b9fdd447dfb013a6c2a92758c537","first_computed_at":"2026-06-29T01:14:51.023826Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:51.023826Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x0z0DJRmkieGlrhr1Ch0U1ALzQtiWc5QdDJIUJvFEFStYTzpoBdJ7QvgZ4TA0vCiCoDoK5ELfncSc8/CzBFmBQ==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:51.024221Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27863","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbd0188424f9415a6ec2ae324e1fb6e9b4cddb43ed2e6ec2dfe50f70dca89b10","sha256:3d9bcfd1a8e2d622d6d5ba09d43572a23c8efd5fa3e48e5a9b618fc7c763f7a6"],"state_sha256":"4e7d8ea4cdfccbba0046bc44ab73f60a73c6cf0a6015ee8b251cbca1b934d684"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RsUj25UtHTbsf+a+VSdzt5MK4iRpt09+McfBOcpiFaSWudM0zKnFbo2weuKh812nFmeYyBrD/VI/0W1LtQzUDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:47:12.382912Z","bundle_sha256":"34c6ddeb38bc640a4014c2634be4c2bc717eb5fd68df640370f662c8845d619a"}}