{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:J6J525IIBJI6HCODV2ON35YOZ2","short_pith_number":"pith:J6J525II","canonical_record":{"source":{"id":"2606.25232","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T23:19:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"80f228d14ade5338287263e706f925341e21ed126e51a64a51050e01f3f50ff1","abstract_canon_sha256":"a0b27e7058cec4d296ef53eb178e41848e895357212f6577468a7f34aa5cea75"},"schema_version":"1.0"},"canonical_sha256":"4f93dd75080a51e389c3ae9cddf70ece8982498a831847f820b6a1d94e70f3fc","source":{"kind":"arxiv","id":"2606.25232","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25232","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25232v1","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25232","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_12","alias_value":"J6J525IIBJI6","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_16","alias_value":"J6J525IIBJI6HCOD","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_8","alias_value":"J6J525II","created_at":"2026-06-25T00:18:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:J6J525IIBJI6HCODV2ON35YOZ2","target":"record","payload":{"canonical_record":{"source":{"id":"2606.25232","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T23:19:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"80f228d14ade5338287263e706f925341e21ed126e51a64a51050e01f3f50ff1","abstract_canon_sha256":"a0b27e7058cec4d296ef53eb178e41848e895357212f6577468a7f34aa5cea75"},"schema_version":"1.0"},"canonical_sha256":"4f93dd75080a51e389c3ae9cddf70ece8982498a831847f820b6a1d94e70f3fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T00:18:21.595417Z","signature_b64":"ExkplNBY//vo84BUhuExoqb2VoGZom6BBmJJIQf7Qabe61jQLVQzfeYMKLBTH17VJRLLzR1b8/qmffGOrB3nCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f93dd75080a51e389c3ae9cddf70ece8982498a831847f820b6a1d94e70f3fc","last_reissued_at":"2026-06-25T00:18:21.594850Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T00:18:21.594850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.25232","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":"2026-06-25T00:18:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+b68wAyG4NXb0rW6sMbDds8TR3I+fBdsLTZGnDvSrKMxNFH/7Nyqnrsi4drwVeKcZKgQFqIxTHWxhAG9Fp//Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T22:10:02.111821Z"},"content_sha256":"62b1a3b722f248b7332ac15e0439b9fac010303e74566efc512fd08c83928f30","schema_version":"1.0","event_id":"sha256:62b1a3b722f248b7332ac15e0439b9fac010303e74566efc512fd08c83928f30"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:J6J525IIBJI6HCODV2ON35YOZ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Erik Ayari, Manuel Traub, Martin V. Butz","submitted_at":"2026-06-23T23:19:12Z","abstract_excerpt":"Ordered bottlenecks aim to provide utility at flexible budgets by assigning coarse information to early tokens and task-relevant detail to later ones. Prior work, including tail dropping (TD), typically enforces ordering by means of a masking-based ordering pressure (MBOP): Late tokens are masked more frequently than early tokens and are therefore encouraged to store less essential fine details. We introduce predictive residual inference for ordered representations (PRIOR), a framework designed to address inherent weaknesses of MBOP. MBOP is prone to weak late-token utility because it lacks an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25232","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/2606.25232/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":"2026-06-25T00:18:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FpWKxUT+Slu8pu2DSdtTd0LdhoHQblXL2S3jZ0pheoiMb74LbTrdqJYKDAPKAD3eLCNY3zCYkjke5Ujgh91EDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T22:10:02.112203Z"},"content_sha256":"d38dac4f488d6f16dd67dfa30c1de6435a65972348010bd9e418a651956f7e41","schema_version":"1.0","event_id":"sha256:d38dac4f488d6f16dd67dfa30c1de6435a65972348010bd9e418a651956f7e41"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J6J525IIBJI6HCODV2ON35YOZ2/bundle.json","state_url":"https://pith.science/pith/J6J525IIBJI6HCODV2ON35YOZ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J6J525IIBJI6HCODV2ON35YOZ2/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":"2026-07-02T22:10:02Z","links":{"resolver":"https://pith.science/pith/J6J525IIBJI6HCODV2ON35YOZ2","bundle":"https://pith.science/pith/J6J525IIBJI6HCODV2ON35YOZ2/bundle.json","state":"https://pith.science/pith/J6J525IIBJI6HCODV2ON35YOZ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J6J525IIBJI6HCODV2ON35YOZ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:J6J525IIBJI6HCODV2ON35YOZ2","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":"a0b27e7058cec4d296ef53eb178e41848e895357212f6577468a7f34aa5cea75","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T23:19:12Z","title_canon_sha256":"80f228d14ade5338287263e706f925341e21ed126e51a64a51050e01f3f50ff1"},"schema_version":"1.0","source":{"id":"2606.25232","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25232","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25232v1","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25232","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_12","alias_value":"J6J525IIBJI6","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_16","alias_value":"J6J525IIBJI6HCOD","created_at":"2026-06-25T00:18:21Z"},{"alias_kind":"pith_short_8","alias_value":"J6J525II","created_at":"2026-06-25T00:18:21Z"}],"graph_snapshots":[{"event_id":"sha256:d38dac4f488d6f16dd67dfa30c1de6435a65972348010bd9e418a651956f7e41","target":"graph","created_at":"2026-06-25T00:18:21Z","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/2606.25232/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ordered bottlenecks aim to provide utility at flexible budgets by assigning coarse information to early tokens and task-relevant detail to later ones. Prior work, including tail dropping (TD), typically enforces ordering by means of a masking-based ordering pressure (MBOP): Late tokens are masked more frequently than early tokens and are therefore encouraged to store less essential fine details. We introduce predictive residual inference for ordered representations (PRIOR), a framework designed to address inherent weaknesses of MBOP. MBOP is prone to weak late-token utility because it lacks an","authors_text":"Erik Ayari, Manuel Traub, Martin V. Butz","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T23:19:12Z","title":"Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25232","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":"sha256:62b1a3b722f248b7332ac15e0439b9fac010303e74566efc512fd08c83928f30","target":"record","created_at":"2026-06-25T00:18:21Z","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":"a0b27e7058cec4d296ef53eb178e41848e895357212f6577468a7f34aa5cea75","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-23T23:19:12Z","title_canon_sha256":"80f228d14ade5338287263e706f925341e21ed126e51a64a51050e01f3f50ff1"},"schema_version":"1.0","source":{"id":"2606.25232","kind":"arxiv","version":1}},"canonical_sha256":"4f93dd75080a51e389c3ae9cddf70ece8982498a831847f820b6a1d94e70f3fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f93dd75080a51e389c3ae9cddf70ece8982498a831847f820b6a1d94e70f3fc","first_computed_at":"2026-06-25T00:18:21.594850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T00:18:21.594850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ExkplNBY//vo84BUhuExoqb2VoGZom6BBmJJIQf7Qabe61jQLVQzfeYMKLBTH17VJRLLzR1b8/qmffGOrB3nCg==","signature_status":"signed_v1","signed_at":"2026-06-25T00:18:21.595417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25232","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62b1a3b722f248b7332ac15e0439b9fac010303e74566efc512fd08c83928f30","sha256:d38dac4f488d6f16dd67dfa30c1de6435a65972348010bd9e418a651956f7e41"],"state_sha256":"a6d75fa83b44e4e67538dccffef665fbae6b97fd903ea070f18a441a138e4a8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PwKK548OR3GJ+t7xEpBa1FxgTaqPcfiVcPIfsGG2exemeQTFc6o28VaV2IBoOMgJsPenj/1ZIRPZLX3LOrkkAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T22:10:02.114224Z","bundle_sha256":"4ad256abc46115b87c15a08845c5af85ad81a47672501f165a40e37558b61ec1"}}