{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:43YT7OJMA62RJA2CECTO6XYDZU","short_pith_number":"pith:43YT7OJM","canonical_record":{"source":{"id":"2506.15228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-18T08:11:27Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"6301690ec9489b717c61e3572b5b1101c85f9d56a2ee4a119773794a53cd2e93","abstract_canon_sha256":"b5423ad2d9b803fbb19b1d088fb2a56274205775501905ab9389fa290129f6b8"},"schema_version":"1.0"},"canonical_sha256":"e6f13fb92c07b514834220a6ef5f03cd0e0e63ef62031212f3a06f1663af7711","source":{"kind":"arxiv","id":"2506.15228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15228","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15228v1","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15228","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_12","alias_value":"43YT7OJMA62R","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_16","alias_value":"43YT7OJMA62RJA2C","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_8","alias_value":"43YT7OJM","created_at":"2026-07-05T11:23:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:43YT7OJMA62RJA2CECTO6XYDZU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.15228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-18T08:11:27Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"6301690ec9489b717c61e3572b5b1101c85f9d56a2ee4a119773794a53cd2e93","abstract_canon_sha256":"b5423ad2d9b803fbb19b1d088fb2a56274205775501905ab9389fa290129f6b8"},"schema_version":"1.0"},"canonical_sha256":"e6f13fb92c07b514834220a6ef5f03cd0e0e63ef62031212f3a06f1663af7711","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:39.777225Z","signature_b64":"Ad1wfuAFi6YexDBTIMR6gJt3B/6iL8T3wHOk43YrTo4EwYdoLFzaXACmm54DUHoz5kHM/3hV+DlqhtW8bY8iAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6f13fb92c07b514834220a6ef5f03cd0e0e63ef62031212f3a06f1663af7711","last_reissued_at":"2026-07-05T11:23:39.776634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:39.776634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.15228","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":"2026-07-05T11:23:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eCEGIans+NqBXMKnXuqDcf8Zy2wXuVwPj3PRgnuaNTpOerheppeY7f3CVNiXriFF5qiDwN+lBGc0unPJs8rUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:51:50.085625Z"},"content_sha256":"e65c7ded9a5c3f39d5b871cdbad68b70635ab0388d9bbadea79d9637617da5e4","schema_version":"1.0","event_id":"sha256:e65c7ded9a5c3f39d5b871cdbad68b70635ab0388d9bbadea79d9637617da5e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:43YT7OJMA62RJA2CECTO6XYDZU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"eess.IV","authors_text":"Hang Yu, Jianguo Li, Junhui Hou, Shizhan Liu, Weiyao Lin, Wenrui Dai, Yufeng Zhang","submitted_at":"2025-06-18T08:11:27Z","abstract_excerpt":"Neural Image Compression (NIC) has revolutionized image compression with its superior rate-distortion performance and multi-task capabilities, supporting both human visual perception and machine vision tasks. However, its widespread adoption is hindered by substantial computational demands. While existing approaches attempt to address this challenge through module-specific optimizations or pre-defined complexity levels, they lack comprehensive control over computational complexity. We present ABC (Adaptive BayesNet structure learning for computational scalable multi-task image Compression), a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15228","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/2506.15228/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":"2026-07-05T11:23:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4KUROqwAC25qSo3Buj1SbcVB8/yGaBd7HDFAO+f8m9OfW4LZlqG5glFHyBtbnWTm7zH/7kiMzElHoYaeF9sAAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:51:50.086109Z"},"content_sha256":"5958216264053ffd75e130a5e16ca3b7b34373637af67bce61e44f870cbcc711","schema_version":"1.0","event_id":"sha256:5958216264053ffd75e130a5e16ca3b7b34373637af67bce61e44f870cbcc711"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/43YT7OJMA62RJA2CECTO6XYDZU/bundle.json","state_url":"https://pith.science/pith/43YT7OJMA62RJA2CECTO6XYDZU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/43YT7OJMA62RJA2CECTO6XYDZU/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":"2026-08-18T19:51:50Z","links":{"resolver":"https://pith.science/pith/43YT7OJMA62RJA2CECTO6XYDZU","bundle":"https://pith.science/pith/43YT7OJMA62RJA2CECTO6XYDZU/bundle.json","state":"https://pith.science/pith/43YT7OJMA62RJA2CECTO6XYDZU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/43YT7OJMA62RJA2CECTO6XYDZU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:43YT7OJMA62RJA2CECTO6XYDZU","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":"b5423ad2d9b803fbb19b1d088fb2a56274205775501905ab9389fa290129f6b8","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-18T08:11:27Z","title_canon_sha256":"6301690ec9489b717c61e3572b5b1101c85f9d56a2ee4a119773794a53cd2e93"},"schema_version":"1.0","source":{"id":"2506.15228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15228","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15228v1","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15228","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_12","alias_value":"43YT7OJMA62R","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_16","alias_value":"43YT7OJMA62RJA2C","created_at":"2026-07-05T11:23:39Z"},{"alias_kind":"pith_short_8","alias_value":"43YT7OJM","created_at":"2026-07-05T11:23:39Z"}],"graph_snapshots":[{"event_id":"sha256:5958216264053ffd75e130a5e16ca3b7b34373637af67bce61e44f870cbcc711","target":"graph","created_at":"2026-07-05T11:23:39Z","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/2506.15228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural Image Compression (NIC) has revolutionized image compression with its superior rate-distortion performance and multi-task capabilities, supporting both human visual perception and machine vision tasks. However, its widespread adoption is hindered by substantial computational demands. While existing approaches attempt to address this challenge through module-specific optimizations or pre-defined complexity levels, they lack comprehensive control over computational complexity. We present ABC (Adaptive BayesNet structure learning for computational scalable multi-task image Compression), a ","authors_text":"Hang Yu, Jianguo Li, Junhui Hou, Shizhan Liu, Weiyao Lin, Wenrui Dai, Yufeng Zhang","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15228","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:e65c7ded9a5c3f39d5b871cdbad68b70635ab0388d9bbadea79d9637617da5e4","target":"record","created_at":"2026-07-05T11:23:39Z","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":"b5423ad2d9b803fbb19b1d088fb2a56274205775501905ab9389fa290129f6b8","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-06-18T08:11:27Z","title_canon_sha256":"6301690ec9489b717c61e3572b5b1101c85f9d56a2ee4a119773794a53cd2e93"},"schema_version":"1.0","source":{"id":"2506.15228","kind":"arxiv","version":1}},"canonical_sha256":"e6f13fb92c07b514834220a6ef5f03cd0e0e63ef62031212f3a06f1663af7711","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6f13fb92c07b514834220a6ef5f03cd0e0e63ef62031212f3a06f1663af7711","first_computed_at":"2026-07-05T11:23:39.776634Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:39.776634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ad1wfuAFi6YexDBTIMR6gJt3B/6iL8T3wHOk43YrTo4EwYdoLFzaXACmm54DUHoz5kHM/3hV+DlqhtW8bY8iAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:39.777225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e65c7ded9a5c3f39d5b871cdbad68b70635ab0388d9bbadea79d9637617da5e4","sha256:5958216264053ffd75e130a5e16ca3b7b34373637af67bce61e44f870cbcc711"],"state_sha256":"942e4008d131c6d635191ea3e5abe7c8316d245365c8664139ba987c66283d92"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NHx7n7qyLtcgafU5w/XQEITlxF8LOURwVnTyMghiqMmy4xeZrL51YJyLNQGktoVhzNeyc5TuK1OVmt/2/HNsAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T19:51:50.089622Z","bundle_sha256":"573a01c6f48be03e3dd5b0a6a5da00ae4bea9ea8a841c9adb788ec13021c953f"}}