{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:33MIV7RKODRBQHF6SBGTP6QT4F","short_pith_number":"pith:33MIV7RK","canonical_record":{"source":{"id":"2403.15123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-22T11:25:38Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8153e2de4451a707a742f8d89ab8d3f017a8fa3f474c8f3274a3bffdf6fa16a4","abstract_canon_sha256":"87bba9f6c280b5f44029d0560e25cd2d5d06dc82765d1bfb93b7a5365a9de5e8"},"schema_version":"1.0"},"canonical_sha256":"ded88afe2a70e2181cbe904d37fa13e164136ca6f9bf955cefb73cd41d8b76e6","source":{"kind":"arxiv","id":"2403.15123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15123","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15123v1","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15123","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_12","alias_value":"33MIV7RKODRB","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_16","alias_value":"33MIV7RKODRBQHF6","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_8","alias_value":"33MIV7RK","created_at":"2026-07-05T07:59:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:33MIV7RKODRBQHF6SBGTP6QT4F","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-22T11:25:38Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8153e2de4451a707a742f8d89ab8d3f017a8fa3f474c8f3274a3bffdf6fa16a4","abstract_canon_sha256":"87bba9f6c280b5f44029d0560e25cd2d5d06dc82765d1bfb93b7a5365a9de5e8"},"schema_version":"1.0"},"canonical_sha256":"ded88afe2a70e2181cbe904d37fa13e164136ca6f9bf955cefb73cd41d8b76e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:30.521978Z","signature_b64":"FpsUxgc3DEUOXqlyOC9hKahbkFDWaWJOO6aWe0RjicrCGILjUsvozpxDA7j1AcLMJZS5FS2cv15Hwv8nbpj4Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ded88afe2a70e2181cbe904d37fa13e164136ca6f9bf955cefb73cd41d8b76e6","last_reissued_at":"2026-07-05T07:59:30.521632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:30.521632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15123","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":"2026-07-05T07:59:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QsgmCwwZgo2w0w1kkYlGAAWphVw8v1BkD9buqQiqJ7+Hn2GAYT5zER8VjIY0kmmshrgD9qxJP8Acze6MxP8xDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:20:52.276112Z"},"content_sha256":"5cadf1e21a85dedaf5829cd62e48fe6bf33a45c5f9372240257e46533e109c3b","schema_version":"1.0","event_id":"sha256:5cadf1e21a85dedaf5829cd62e48fe6bf33a45c5f9372240257e46533e109c3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:33MIV7RKODRBQHF6SBGTP6QT4F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantification using Permutation-Invariant Networks based on Histograms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alejandro Moreo, Juan Jos\\'e del Coz, Olaya P\\'erez-Mon, Pablo Gonz\\'alez","submitted_at":"2024-03-22T11:25:38Z","abstract_excerpt":"Quantification, also known as class prevalence estimation, is the supervised learning task in which a model is trained to predict the prevalence of each class in a given bag of examples. This paper investigates the application of deep neural networks to tasks of quantification in scenarios where it is possible to apply a symmetric supervised approach that eliminates the need for classification as an intermediary step, directly addressing the quantification problem. Additionally, it discusses existing permutation-invariant layers designed for set processing and assesses their suitability for qu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15123","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/2403.15123/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":"2026-07-05T07:59:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UqSDnu17VAy6FceFCJSbNbFW+AnGQ7FvZCUbVl3A0a4cy50us2zI/zkcjTyk+CQUhbUIFwFN/7oHmJ9EABPkAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:20:52.277035Z"},"content_sha256":"5e8041577eb9b3bcdc328a70b2d0973ec8cb309ce9b93b6b5131d0f6753f3a53","schema_version":"1.0","event_id":"sha256:5e8041577eb9b3bcdc328a70b2d0973ec8cb309ce9b93b6b5131d0f6753f3a53"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/33MIV7RKODRBQHF6SBGTP6QT4F/bundle.json","state_url":"https://pith.science/pith/33MIV7RKODRBQHF6SBGTP6QT4F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/33MIV7RKODRBQHF6SBGTP6QT4F/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":"2026-08-05T15:20:52Z","links":{"resolver":"https://pith.science/pith/33MIV7RKODRBQHF6SBGTP6QT4F","bundle":"https://pith.science/pith/33MIV7RKODRBQHF6SBGTP6QT4F/bundle.json","state":"https://pith.science/pith/33MIV7RKODRBQHF6SBGTP6QT4F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/33MIV7RKODRBQHF6SBGTP6QT4F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:33MIV7RKODRBQHF6SBGTP6QT4F","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":"87bba9f6c280b5f44029d0560e25cd2d5d06dc82765d1bfb93b7a5365a9de5e8","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-22T11:25:38Z","title_canon_sha256":"8153e2de4451a707a742f8d89ab8d3f017a8fa3f474c8f3274a3bffdf6fa16a4"},"schema_version":"1.0","source":{"id":"2403.15123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15123","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15123v1","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15123","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_12","alias_value":"33MIV7RKODRB","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_16","alias_value":"33MIV7RKODRBQHF6","created_at":"2026-07-05T07:59:30Z"},{"alias_kind":"pith_short_8","alias_value":"33MIV7RK","created_at":"2026-07-05T07:59:30Z"}],"graph_snapshots":[{"event_id":"sha256:5e8041577eb9b3bcdc328a70b2d0973ec8cb309ce9b93b6b5131d0f6753f3a53","target":"graph","created_at":"2026-07-05T07:59:30Z","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/2403.15123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantification, also known as class prevalence estimation, is the supervised learning task in which a model is trained to predict the prevalence of each class in a given bag of examples. This paper investigates the application of deep neural networks to tasks of quantification in scenarios where it is possible to apply a symmetric supervised approach that eliminates the need for classification as an intermediary step, directly addressing the quantification problem. Additionally, it discusses existing permutation-invariant layers designed for set processing and assesses their suitability for qu","authors_text":"Alejandro Moreo, Juan Jos\\'e del Coz, Olaya P\\'erez-Mon, Pablo Gonz\\'alez","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-22T11:25:38Z","title":"Quantification using Permutation-Invariant Networks based on Histograms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15123","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":"sha256:5cadf1e21a85dedaf5829cd62e48fe6bf33a45c5f9372240257e46533e109c3b","target":"record","created_at":"2026-07-05T07:59:30Z","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":"87bba9f6c280b5f44029d0560e25cd2d5d06dc82765d1bfb93b7a5365a9de5e8","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-03-22T11:25:38Z","title_canon_sha256":"8153e2de4451a707a742f8d89ab8d3f017a8fa3f474c8f3274a3bffdf6fa16a4"},"schema_version":"1.0","source":{"id":"2403.15123","kind":"arxiv","version":1}},"canonical_sha256":"ded88afe2a70e2181cbe904d37fa13e164136ca6f9bf955cefb73cd41d8b76e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ded88afe2a70e2181cbe904d37fa13e164136ca6f9bf955cefb73cd41d8b76e6","first_computed_at":"2026-07-05T07:59:30.521632Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:30.521632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FpsUxgc3DEUOXqlyOC9hKahbkFDWaWJOO6aWe0RjicrCGILjUsvozpxDA7j1AcLMJZS5FS2cv15Hwv8nbpj4Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:30.521978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5cadf1e21a85dedaf5829cd62e48fe6bf33a45c5f9372240257e46533e109c3b","sha256:5e8041577eb9b3bcdc328a70b2d0973ec8cb309ce9b93b6b5131d0f6753f3a53"],"state_sha256":"d8033f20568f3c74cf19306bd92c10a68cbd79dd8054c2da04d34da308c2b759"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hfzp95rNiHh8BBxHaKSQbXuq69CsFVdxjhOssp6dTLDm/4QbO0SAbg77b9hqLVbNzh1/HoAvTJz1Z9zOTrceBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:20:52.283681Z","bundle_sha256":"98fe25a8b239d47262a181eb3015169a88afb259aafd41e0e5fe96f3148974de"}}