{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EVMD45UMGOLJOXGGTBEN2KPDOJ","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":"9d207edee49a44257a6ded85242b5f8a8f672bc3a99afae453c9e1d7841d5bc8","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-25T10:06:01Z","title_canon_sha256":"90968f80a2ad14b5e37db0a024c1c395912c14a932ede425022f7302cc7f3ae0"},"schema_version":"1.0","source":{"id":"2507.19125","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.19125","created_at":"2026-07-05T11:43:19Z"},{"alias_kind":"arxiv_version","alias_value":"2507.19125v1","created_at":"2026-07-05T11:43:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19125","created_at":"2026-07-05T11:43:19Z"},{"alias_kind":"pith_short_12","alias_value":"EVMD45UMGOLJ","created_at":"2026-07-05T11:43:19Z"},{"alias_kind":"pith_short_16","alias_value":"EVMD45UMGOLJOXGG","created_at":"2026-07-05T11:43:19Z"},{"alias_kind":"pith_short_8","alias_value":"EVMD45UM","created_at":"2026-07-05T11:43:19Z"}],"graph_snapshots":[{"event_id":"sha256:17be08aea9f8247829d5ba7120e9d7d79fce082647ee214abaaacc8843ad9c5d","target":"graph","created_at":"2026-07-05T11:43:19Z","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/2507.19125/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Context modeling is essential in learned image compression for accurately estimating the distribution of latents. While recent advanced methods have expanded context modeling capacity, they still struggle to efficiently exploit long-range dependency and diverse context information across different coding steps. In this paper, we introduce a novel Hierarchical Progressive Context Model (HPCM) for more efficient context information acquisition. Specifically, HPCM employs a hierarchical coding schedule to sequentially model the contextual dependencies among latents at multiple scales, which enabl","authors_text":"Dong Liu, Haotian Zhang, Li Li, Yuqi Li","cross_cats":["cs.CV","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-25T10:06:01Z","title":"Learned Image Compression with Hierarchical Progressive Context Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19125","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:ee4aa4745a1621218151e8baa07380a856fe616abe0e8a2de1b4ed48d4d39a92","target":"record","created_at":"2026-07-05T11:43:19Z","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":"9d207edee49a44257a6ded85242b5f8a8f672bc3a99afae453c9e1d7841d5bc8","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-07-25T10:06:01Z","title_canon_sha256":"90968f80a2ad14b5e37db0a024c1c395912c14a932ede425022f7302cc7f3ae0"},"schema_version":"1.0","source":{"id":"2507.19125","kind":"arxiv","version":1}},"canonical_sha256":"25583e768c3396975cc69848dd29e3725c21d0f7a7c5db9fbdc85cc4b5bfcc2a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"25583e768c3396975cc69848dd29e3725c21d0f7a7c5db9fbdc85cc4b5bfcc2a","first_computed_at":"2026-07-05T11:43:19.931405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:19.931405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GSOMHblTLXEGV8xrNU66/OMo0ZAT5rd/6B9Nxt+E5X/BAZ2gfGQ4Zsi9xZ/89dy2Yevj0kx/RE2pgq68v7MOAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:19.931889Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.19125","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee4aa4745a1621218151e8baa07380a856fe616abe0e8a2de1b4ed48d4d39a92","sha256:17be08aea9f8247829d5ba7120e9d7d79fce082647ee214abaaacc8843ad9c5d"],"state_sha256":"a791e4fbafa311301bcbfc365db05164c5e8ae23b56925a62405b2a45bfec113"}