{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UZNRNYMTNQSFGXFSKXUKFB2VAD","short_pith_number":"pith:UZNRNYMT","canonical_record":{"source":{"id":"2509.10366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T15:59:55Z","cross_cats_sorted":[],"title_canon_sha256":"9a77bb398487a9a05a8c3a322211055f4d12242a0fa0a7c7845d0886150d814b","abstract_canon_sha256":"b3bd58bac355c70f00ff0ea9db7ad5e1f59f8f5430fbcf17d405de93549ba82a"},"schema_version":"1.0"},"canonical_sha256":"a65b16e1936c24535cb255e8a2875500dd279f9b6b0838e884ead3b1fe0835d2","source":{"kind":"arxiv","id":"2509.10366","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10366","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10366v1","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10366","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"UZNRNYMTNQSF","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"UZNRNYMTNQSFGXFS","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"UZNRNYMT","created_at":"2026-07-05T12:11:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UZNRNYMTNQSFGXFSKXUKFB2VAD","target":"record","payload":{"canonical_record":{"source":{"id":"2509.10366","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T15:59:55Z","cross_cats_sorted":[],"title_canon_sha256":"9a77bb398487a9a05a8c3a322211055f4d12242a0fa0a7c7845d0886150d814b","abstract_canon_sha256":"b3bd58bac355c70f00ff0ea9db7ad5e1f59f8f5430fbcf17d405de93549ba82a"},"schema_version":"1.0"},"canonical_sha256":"a65b16e1936c24535cb255e8a2875500dd279f9b6b0838e884ead3b1fe0835d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:08.482079Z","signature_b64":"DZvhhS2Mvdeialpw6ziGHneDUaqIK2qX9UFZMlT26TbNPlyNczIEdrjAWfVaqoS/4uYb4gr3izzACOVd0aeCAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a65b16e1936c24535cb255e8a2875500dd279f9b6b0838e884ead3b1fe0835d2","last_reissued_at":"2026-07-05T12:11:08.481572Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:08.481572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.10366","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":"2026-07-05T12:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"76KnFqY72wCVJK91ApRGXj78hWxs5bP1H4eD2bUzPtXlKMf8P8qlJ/B7AH2ogMgtpYI3qmdYvfeproiakuRnBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:41:37.446175Z"},"content_sha256":"db3b7b029142e42e19a83d45b7ed6e446593f7351fa28860199aea70d2e5678b","schema_version":"1.0","event_id":"sha256:db3b7b029142e42e19a83d45b7ed6e446593f7351fa28860199aea70d2e5678b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UZNRNYMTNQSFGXFSKXUKFB2VAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Learned Image Compression Through Knowledge Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alaa Eddine Mazouz, Attilio Fiandrotti, Fabien Allemand, Sumanta Chaudhuri","submitted_at":"2025-09-12T15:59:55Z","abstract_excerpt":"Learned image compression sits at the intersection of machine learning and image processing. With advances in deep learning, neural network-based compression methods have emerged. In this process, an encoder maps the image to a low-dimensional latent space, which is then quantized, entropy-coded into a binary bitstream, and transmitted to the receiver. At the receiver end, the bitstream is entropy-decoded, and a decoder reconstructs an approximation of the original image. Recent research suggests that these models consistently outperform conventional codecs. However, they require significant p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10366","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/2509.10366/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":"2026-07-05T12:11:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MieGdLq/aLHH1OwKVjMxYZ+tYLlfXYPpVcWyJwR05qVVWzWj7LcequbW2YX/mfsqebcWdRsSdvuEzyYuUKTfDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T12:41:37.446664Z"},"content_sha256":"5bcd2b09ef118f1b40107184b49c81e5e1ff051f843a4e72aea834f39fd252b4","schema_version":"1.0","event_id":"sha256:5bcd2b09ef118f1b40107184b49c81e5e1ff051f843a4e72aea834f39fd252b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/bundle.json","state_url":"https://pith.science/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/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":"2026-08-20T12:41:37Z","links":{"resolver":"https://pith.science/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD","bundle":"https://pith.science/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/bundle.json","state":"https://pith.science/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UZNRNYMTNQSFGXFSKXUKFB2VAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UZNRNYMTNQSFGXFSKXUKFB2VAD","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":"b3bd58bac355c70f00ff0ea9db7ad5e1f59f8f5430fbcf17d405de93549ba82a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T15:59:55Z","title_canon_sha256":"9a77bb398487a9a05a8c3a322211055f4d12242a0fa0a7c7845d0886150d814b"},"schema_version":"1.0","source":{"id":"2509.10366","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.10366","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"arxiv_version","alias_value":"2509.10366v1","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.10366","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_12","alias_value":"UZNRNYMTNQSF","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_16","alias_value":"UZNRNYMTNQSFGXFS","created_at":"2026-07-05T12:11:08Z"},{"alias_kind":"pith_short_8","alias_value":"UZNRNYMT","created_at":"2026-07-05T12:11:08Z"}],"graph_snapshots":[{"event_id":"sha256:5bcd2b09ef118f1b40107184b49c81e5e1ff051f843a4e72aea834f39fd252b4","target":"graph","created_at":"2026-07-05T12:11:08Z","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/2509.10366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learned image compression sits at the intersection of machine learning and image processing. With advances in deep learning, neural network-based compression methods have emerged. In this process, an encoder maps the image to a low-dimensional latent space, which is then quantized, entropy-coded into a binary bitstream, and transmitted to the receiver. At the receiver end, the bitstream is entropy-decoded, and a decoder reconstructs an approximation of the original image. Recent research suggests that these models consistently outperform conventional codecs. However, they require significant p","authors_text":"Alaa Eddine Mazouz, Attilio Fiandrotti, Fabien Allemand, Sumanta Chaudhuri","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T15:59:55Z","title":"Efficient Learned Image Compression Through Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.10366","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:db3b7b029142e42e19a83d45b7ed6e446593f7351fa28860199aea70d2e5678b","target":"record","created_at":"2026-07-05T12:11:08Z","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":"b3bd58bac355c70f00ff0ea9db7ad5e1f59f8f5430fbcf17d405de93549ba82a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-12T15:59:55Z","title_canon_sha256":"9a77bb398487a9a05a8c3a322211055f4d12242a0fa0a7c7845d0886150d814b"},"schema_version":"1.0","source":{"id":"2509.10366","kind":"arxiv","version":1}},"canonical_sha256":"a65b16e1936c24535cb255e8a2875500dd279f9b6b0838e884ead3b1fe0835d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a65b16e1936c24535cb255e8a2875500dd279f9b6b0838e884ead3b1fe0835d2","first_computed_at":"2026-07-05T12:11:08.481572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:11:08.481572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DZvhhS2Mvdeialpw6ziGHneDUaqIK2qX9UFZMlT26TbNPlyNczIEdrjAWfVaqoS/4uYb4gr3izzACOVd0aeCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:11:08.482079Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.10366","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db3b7b029142e42e19a83d45b7ed6e446593f7351fa28860199aea70d2e5678b","sha256:5bcd2b09ef118f1b40107184b49c81e5e1ff051f843a4e72aea834f39fd252b4"],"state_sha256":"24dd8b6ab57d554d210500c2a1a7c28044e8af05de7741e706d30594433c8ee1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7XaCvJUxf1vLQLCmDd3/gNX62d0asTif5kukDHBWb5fiZ05RewuVmlzfNqu+CR1s5YEujPuMlc0UY14oi6xpAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T12:41:37.450196Z","bundle_sha256":"ff7d5e94f4c965a585afe9ae9ab3b88de14e43b2556ff8756f6e6ba5c92fa8fa"}}