{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JX2RAR7RFSN7FU4KOG4TFQMX6C","short_pith_number":"pith:JX2RAR7R","canonical_record":{"source":{"id":"2501.10324","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-17T17:56:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e2952265898f0d286d287349c2372cb65ef1496dace17b090b5a8283bde91fe0","abstract_canon_sha256":"6b2ae1bfc0383cc879466d63f90aa3120478dbd65054353ea776f2cbbc60f01b"},"schema_version":"1.0"},"canonical_sha256":"4df51047f12c9bf2d38a71b932c197f0b755cbc95cc5afb79cd58b4cc84f6eaa","source":{"kind":"arxiv","id":"2501.10324","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10324","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10324v1","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10324","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_12","alias_value":"JX2RAR7RFSN7","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_16","alias_value":"JX2RAR7RFSN7FU4K","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_8","alias_value":"JX2RAR7R","created_at":"2026-07-05T10:02:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JX2RAR7RFSN7FU4KOG4TFQMX6C","target":"record","payload":{"canonical_record":{"source":{"id":"2501.10324","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-17T17:56:27Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e2952265898f0d286d287349c2372cb65ef1496dace17b090b5a8283bde91fe0","abstract_canon_sha256":"6b2ae1bfc0383cc879466d63f90aa3120478dbd65054353ea776f2cbbc60f01b"},"schema_version":"1.0"},"canonical_sha256":"4df51047f12c9bf2d38a71b932c197f0b755cbc95cc5afb79cd58b4cc84f6eaa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:20.254896Z","signature_b64":"gJEtq3y7T3R4AVCRsHUcqbj8WO4qx6CkhRFnndovzM8s6RZSNzptjJSbvNWISbNvxxl/g857WYcP8nV1Hr4ACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4df51047f12c9bf2d38a71b932c197f0b755cbc95cc5afb79cd58b4cc84f6eaa","last_reissued_at":"2026-07-05T10:02:20.254478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:20.254478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.10324","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":"2026-07-05T10:02:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ggiaQ1tN8k0Vnc90yDIXgCuXAKMX1LyCOSdcXFoAy28mRO9x7rMQh/deAyHVNerMndPi70WKOmIwI34DvjPhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:12:44.102323Z"},"content_sha256":"a3ce8f52d2a8917643ae06326a5472d203ab64144198e692d302c7d44e901640","schema_version":"1.0","event_id":"sha256:a3ce8f52d2a8917643ae06326a5472d203ab64144198e692d302c7d44e901640"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JX2RAR7RFSN7FU4KOG4TFQMX6C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Andrea Avogaro, Andrea Toaiari, Franco Fummi, Luigi Capogrosso, Marco Cristani","submitted_at":"2025-01-17T17:56:27Z","abstract_excerpt":"The fast fashion industry's insatiable demand for new styles and rapid production cycles has led to a significant environmental burden. Overproduction, excessive waste, and harmful chemicals have contributed to the negative environmental impact of the industry. To mitigate these issues, a paradigm shift that prioritizes sustainability and efficiency is urgently needed. Integrating learning-based predictive analytics into the fashion industry represents a significant opportunity to address environmental challenges and drive sustainable practices. By forecasting fashion trends and optimizing pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10324","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/2501.10324/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":"2026-07-05T10:02:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5fjnwjI9f9SfwZkCBANY1Co/t45DofXLt8RgSNaBjXyJVEsEAs4za3/l1QGlRicaL+NZBDN6cceGpaE2EyFWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:12:44.103012Z"},"content_sha256":"664afadb7a0062eb707610744ae634e8bc2f7bc351be956107425d5e655cb2d8","schema_version":"1.0","event_id":"sha256:664afadb7a0062eb707610744ae634e8bc2f7bc351be956107425d5e655cb2d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/bundle.json","state_url":"https://pith.science/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/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":"2026-08-07T12:12:44Z","links":{"resolver":"https://pith.science/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C","bundle":"https://pith.science/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/bundle.json","state":"https://pith.science/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JX2RAR7RFSN7FU4KOG4TFQMX6C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JX2RAR7RFSN7FU4KOG4TFQMX6C","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":"6b2ae1bfc0383cc879466d63f90aa3120478dbd65054353ea776f2cbbc60f01b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-17T17:56:27Z","title_canon_sha256":"e2952265898f0d286d287349c2372cb65ef1496dace17b090b5a8283bde91fe0"},"schema_version":"1.0","source":{"id":"2501.10324","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.10324","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"arxiv_version","alias_value":"2501.10324v1","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.10324","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_12","alias_value":"JX2RAR7RFSN7","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_16","alias_value":"JX2RAR7RFSN7FU4K","created_at":"2026-07-05T10:02:20Z"},{"alias_kind":"pith_short_8","alias_value":"JX2RAR7R","created_at":"2026-07-05T10:02:20Z"}],"graph_snapshots":[{"event_id":"sha256:664afadb7a0062eb707610744ae634e8bc2f7bc351be956107425d5e655cb2d8","target":"graph","created_at":"2026-07-05T10:02:20Z","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/2501.10324/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The fast fashion industry's insatiable demand for new styles and rapid production cycles has led to a significant environmental burden. Overproduction, excessive waste, and harmful chemicals have contributed to the negative environmental impact of the industry. To mitigate these issues, a paradigm shift that prioritizes sustainability and efficiency is urgently needed. Integrating learning-based predictive analytics into the fashion industry represents a significant opportunity to address environmental challenges and drive sustainable practices. By forecasting fashion trends and optimizing pro","authors_text":"Andrea Avogaro, Andrea Toaiari, Franco Fummi, Luigi Capogrosso, Marco Cristani","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-17T17:56:27Z","title":"New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.10324","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:a3ce8f52d2a8917643ae06326a5472d203ab64144198e692d302c7d44e901640","target":"record","created_at":"2026-07-05T10:02:20Z","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":"6b2ae1bfc0383cc879466d63f90aa3120478dbd65054353ea776f2cbbc60f01b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-01-17T17:56:27Z","title_canon_sha256":"e2952265898f0d286d287349c2372cb65ef1496dace17b090b5a8283bde91fe0"},"schema_version":"1.0","source":{"id":"2501.10324","kind":"arxiv","version":1}},"canonical_sha256":"4df51047f12c9bf2d38a71b932c197f0b755cbc95cc5afb79cd58b4cc84f6eaa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4df51047f12c9bf2d38a71b932c197f0b755cbc95cc5afb79cd58b4cc84f6eaa","first_computed_at":"2026-07-05T10:02:20.254478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:20.254478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gJEtq3y7T3R4AVCRsHUcqbj8WO4qx6CkhRFnndovzM8s6RZSNzptjJSbvNWISbNvxxl/g857WYcP8nV1Hr4ACA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:20.254896Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.10324","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3ce8f52d2a8917643ae06326a5472d203ab64144198e692d302c7d44e901640","sha256:664afadb7a0062eb707610744ae634e8bc2f7bc351be956107425d5e655cb2d8"],"state_sha256":"85f74281657a7e24ef50297b4c48916a863042e8fbeec374b18b644e093d33c7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tWPL4MX7yxDxrQL6dBsM99fy4P+n5yQA0b8NvY+QUN5RdgbebBUJB28mn/9To+vw8cURAiB2g4Bz1SWY8BYdBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:12:44.112672Z","bundle_sha256":"01f2af8b441078edba0ee40c2e436fc5f3d73c882a74b44c8cac885335a91068"}}