{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3PLUAHDM7Q6ZRC4LGRJH7NJLCZ","short_pith_number":"pith:3PLUAHDM","canonical_record":{"source":{"id":"2501.12330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-21T17:59:11Z","cross_cats_sorted":["cs.LG","math.IT"],"title_canon_sha256":"d972ff31a6efc366aea34db49e2ccd3d973068bf9e11e9fd2aa3183fe25c219f","abstract_canon_sha256":"265b03fef508651be35a02acf9b92324a8eec21049c1ed2b7f6f3009fee9a975"},"schema_version":"1.0"},"canonical_sha256":"dbd7401c6cfc3d988b8b34527fb52b16438c25aa3291165fec1ac92de1250ba2","source":{"kind":"arxiv","id":"2501.12330","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12330","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12330v1","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12330","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_12","alias_value":"3PLUAHDM7Q6Z","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_16","alias_value":"3PLUAHDM7Q6ZRC4L","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_8","alias_value":"3PLUAHDM","created_at":"2026-07-05T10:03:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3PLUAHDM7Q6ZRC4LGRJH7NJLCZ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.12330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-21T17:59:11Z","cross_cats_sorted":["cs.LG","math.IT"],"title_canon_sha256":"d972ff31a6efc366aea34db49e2ccd3d973068bf9e11e9fd2aa3183fe25c219f","abstract_canon_sha256":"265b03fef508651be35a02acf9b92324a8eec21049c1ed2b7f6f3009fee9a975"},"schema_version":"1.0"},"canonical_sha256":"dbd7401c6cfc3d988b8b34527fb52b16438c25aa3291165fec1ac92de1250ba2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:34.672725Z","signature_b64":"wWpmii/lXsqadbM3SO7X2FzgJTaUV95l4SFzLd/GXwooyWJhobJFvHhW1egzziOFcVnnam42Y8CCstqAYsWBDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dbd7401c6cfc3d988b8b34527fb52b16438c25aa3291165fec1ac92de1250ba2","last_reissued_at":"2026-07-05T10:03:34.672279Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:34.672279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.12330","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":"2026-07-05T10:03:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kLcG7BfDaPZv9xEhjAzkZee0CrBMjRFYHqeq+ojNk1rwOu/pjoGhVvOpxsf6Y17mpUvivwNxDSRe9RymihV6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:07:19.811524Z"},"content_sha256":"4ed2febe3a2f69052e88d0d5771383f1d4c0b08c540e2e4d2983a574c399de17","schema_version":"1.0","event_id":"sha256:4ed2febe3a2f69052e88d0d5771383f1d4c0b08c540e2e4d2983a574c399de17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3PLUAHDM7Q6ZRC4LGRJH7NJLCZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Gap Between Principle and Practice of Lossy Image Coding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","math.IT"],"primary_cat":"cs.IT","authors_text":"Dong Liu, Haotian Zhang","submitted_at":"2025-01-21T17:59:11Z","abstract_excerpt":"Lossy image coding is the art of computing that is principally bounded by the image's rate-distortion function. This bound, though never accurately characterized, has been approached practically via deep learning technologies in recent years. Indeed, learned image coding schemes allow direct optimization of the joint rate-distortion cost, thereby outperforming the handcrafted image coding schemes by a large margin. Still, it is observed that there is room for further improvement in the rate-distortion performance of learned image coding. In this article, we identify the gap between the ideal r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12330","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/2501.12330/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":"2026-07-05T10:03:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V2ZMzAAvzHQnEo7c06PYeHfAOjN1nN4cTutQjki/unsxZa22KBP2sE/N5Q9bmIVmW9H76mapAzfB1Q5maRA9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T16:07:19.812010Z"},"content_sha256":"68d6b60e5e5410033d6e78115dd3b3f62a4af15af18f6f9007b262822355fd1e","schema_version":"1.0","event_id":"sha256:68d6b60e5e5410033d6e78115dd3b3f62a4af15af18f6f9007b262822355fd1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/bundle.json","state_url":"https://pith.science/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/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":"2026-08-13T16:07:19Z","links":{"resolver":"https://pith.science/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ","bundle":"https://pith.science/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/bundle.json","state":"https://pith.science/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3PLUAHDM7Q6ZRC4LGRJH7NJLCZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3PLUAHDM7Q6ZRC4LGRJH7NJLCZ","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":"265b03fef508651be35a02acf9b92324a8eec21049c1ed2b7f6f3009fee9a975","cross_cats_sorted":["cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-21T17:59:11Z","title_canon_sha256":"d972ff31a6efc366aea34db49e2ccd3d973068bf9e11e9fd2aa3183fe25c219f"},"schema_version":"1.0","source":{"id":"2501.12330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.12330","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"arxiv_version","alias_value":"2501.12330v1","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.12330","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_12","alias_value":"3PLUAHDM7Q6Z","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_16","alias_value":"3PLUAHDM7Q6ZRC4L","created_at":"2026-07-05T10:03:34Z"},{"alias_kind":"pith_short_8","alias_value":"3PLUAHDM","created_at":"2026-07-05T10:03:34Z"}],"graph_snapshots":[{"event_id":"sha256:68d6b60e5e5410033d6e78115dd3b3f62a4af15af18f6f9007b262822355fd1e","target":"graph","created_at":"2026-07-05T10:03:34Z","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/2501.12330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lossy image coding is the art of computing that is principally bounded by the image's rate-distortion function. This bound, though never accurately characterized, has been approached practically via deep learning technologies in recent years. Indeed, learned image coding schemes allow direct optimization of the joint rate-distortion cost, thereby outperforming the handcrafted image coding schemes by a large margin. Still, it is observed that there is room for further improvement in the rate-distortion performance of learned image coding. In this article, we identify the gap between the ideal r","authors_text":"Dong Liu, Haotian Zhang","cross_cats":["cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-21T17:59:11Z","title":"The Gap Between Principle and Practice of Lossy Image Coding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.12330","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":"sha256:4ed2febe3a2f69052e88d0d5771383f1d4c0b08c540e2e4d2983a574c399de17","target":"record","created_at":"2026-07-05T10:03:34Z","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":"265b03fef508651be35a02acf9b92324a8eec21049c1ed2b7f6f3009fee9a975","cross_cats_sorted":["cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-21T17:59:11Z","title_canon_sha256":"d972ff31a6efc366aea34db49e2ccd3d973068bf9e11e9fd2aa3183fe25c219f"},"schema_version":"1.0","source":{"id":"2501.12330","kind":"arxiv","version":1}},"canonical_sha256":"dbd7401c6cfc3d988b8b34527fb52b16438c25aa3291165fec1ac92de1250ba2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dbd7401c6cfc3d988b8b34527fb52b16438c25aa3291165fec1ac92de1250ba2","first_computed_at":"2026-07-05T10:03:34.672279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:34.672279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wWpmii/lXsqadbM3SO7X2FzgJTaUV95l4SFzLd/GXwooyWJhobJFvHhW1egzziOFcVnnam42Y8CCstqAYsWBDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:34.672725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.12330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ed2febe3a2f69052e88d0d5771383f1d4c0b08c540e2e4d2983a574c399de17","sha256:68d6b60e5e5410033d6e78115dd3b3f62a4af15af18f6f9007b262822355fd1e"],"state_sha256":"261baf7d5bf43444f113395f4606c49a0ef3e0a71b4193303d8df7fb695b29bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JuvWYW30u0o4XhBp/G/BqqIGDwLlcIMyWwqsfH4CXhUosekIVizCI6tBufrZ0mtxMDkKHZ+0n3zr3HjsqTFdCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T16:07:19.815797Z","bundle_sha256":"4390dadbe51dfd1fb0f1baad77b17245fb4d310e38c1f1fe3d8c4500d4e6c195"}}