{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HDYUCFLTSAANTSDTJNCJRZ6LCU","short_pith_number":"pith:HDYUCFLT","canonical_record":{"source":{"id":"1906.09683","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-24T01:14:13Z","cross_cats_sorted":[],"title_canon_sha256":"cdce9953d4310892aa8947ec4856058514c46113f67ed623702cb8e85f73b239","abstract_canon_sha256":"aa202b71363a83d50343b8b6e06797dde57827ee8ae905fafb90e9d3ac79c50f"},"schema_version":"1.0"},"canonical_sha256":"38f14115739000d9c8734b4498e7cb1510dbe54cc27109817e25ef0bac58a726","source":{"kind":"arxiv","id":"1906.09683","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09683","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09683v2","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09683","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"HDYUCFLTSAAN","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HDYUCFLTSAANTSDT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HDYUCFLT","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HDYUCFLTSAANTSDTJNCJRZ6LCU","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09683","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-24T01:14:13Z","cross_cats_sorted":[],"title_canon_sha256":"cdce9953d4310892aa8947ec4856058514c46113f67ed623702cb8e85f73b239","abstract_canon_sha256":"aa202b71363a83d50343b8b6e06797dde57827ee8ae905fafb90e9d3ac79c50f"},"schema_version":"1.0"},"canonical_sha256":"38f14115739000d9c8734b4498e7cb1510dbe54cc27109817e25ef0bac58a726","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:01.988590Z","signature_b64":"b/hgtKi64BONMQnEPxqkEBwqP0MXcSx+D7+7c081CP54tipaSWF/YpHrQn87dr7x54w9Rgn/xBr9jk+Bq9aSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38f14115739000d9c8734b4498e7cb1510dbe54cc27109817e25ef0bac58a726","last_reissued_at":"2026-05-17T23:42:01.988054Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:01.988054Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09683","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jTGPxywPe8d9Sh8gfTsZAmMQKFXrnFDLGSgh90tuWErOoBG9mT8yaJk/J9z9S0B1G2+ah9+gFH4dhuDsIsIoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:35:41.215836Z"},"content_sha256":"c6a96a0d97d41a4a6d72b215575c05c1f45f393e19f11b665480f7d62a088902","schema_version":"1.0","event_id":"sha256:c6a96a0d97d41a4a6d72b215575c05c1f45f393e19f11b665480f7d62a088902"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HDYUCFLTSAANTSDTJNCJRZ6LCU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Image and Video Compression through Spatial-Temporal Energy Compaction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Heming Sun, Jiro Katto, Masaru Takeuchi, Zhengxue Cheng","submitted_at":"2019-06-24T01:14:13Z","abstract_excerpt":"Compression has been an important research topic for many decades, to produce a significant impact on data transmission and storage. Recent advances have shown a great potential of learning image and video compression. Inspired from related works, in this paper, we present an image compression architecture using a convolutional autoencoder, and then generalize image compression to video compression, by adding an interpolation loop into both encoder and decoder sides. Our basic idea is to realize spatial-temporal energy compaction in learning image and video compression. Thereby, we propose to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09683","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2pU2uNmG2OlYhJ3V6VWCcg+3RWDTzwEpyL67K9GfpEzEAJh7fcbjr7Vdr5dsY2v4qGHPxeqvb/Hp2NFGzh6MBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:35:41.216589Z"},"content_sha256":"8305ba5b17108b7e77fdccc3040917253a9a19a187c7e347151ce106cf9d216e","schema_version":"1.0","event_id":"sha256:8305ba5b17108b7e77fdccc3040917253a9a19a187c7e347151ce106cf9d216e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/bundle.json","state_url":"https://pith.science/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/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":"2026-05-26T08:35:41Z","links":{"resolver":"https://pith.science/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU","bundle":"https://pith.science/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/bundle.json","state":"https://pith.science/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HDYUCFLTSAANTSDTJNCJRZ6LCU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HDYUCFLTSAANTSDTJNCJRZ6LCU","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":"aa202b71363a83d50343b8b6e06797dde57827ee8ae905fafb90e9d3ac79c50f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-24T01:14:13Z","title_canon_sha256":"cdce9953d4310892aa8947ec4856058514c46113f67ed623702cb8e85f73b239"},"schema_version":"1.0","source":{"id":"1906.09683","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09683","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09683v2","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09683","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"HDYUCFLTSAAN","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HDYUCFLTSAANTSDT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HDYUCFLT","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:8305ba5b17108b7e77fdccc3040917253a9a19a187c7e347151ce106cf9d216e","target":"graph","created_at":"2026-05-17T23:42:01Z","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"},"paper":{"abstract_excerpt":"Compression has been an important research topic for many decades, to produce a significant impact on data transmission and storage. Recent advances have shown a great potential of learning image and video compression. Inspired from related works, in this paper, we present an image compression architecture using a convolutional autoencoder, and then generalize image compression to video compression, by adding an interpolation loop into both encoder and decoder sides. Our basic idea is to realize spatial-temporal energy compaction in learning image and video compression. Thereby, we propose to ","authors_text":"Heming Sun, Jiro Katto, Masaru Takeuchi, Zhengxue Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-24T01:14:13Z","title":"Learning Image and Video Compression through Spatial-Temporal Energy Compaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09683","kind":"arxiv","version":2},"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:c6a96a0d97d41a4a6d72b215575c05c1f45f393e19f11b665480f7d62a088902","target":"record","created_at":"2026-05-17T23:42:01Z","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":"aa202b71363a83d50343b8b6e06797dde57827ee8ae905fafb90e9d3ac79c50f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-24T01:14:13Z","title_canon_sha256":"cdce9953d4310892aa8947ec4856058514c46113f67ed623702cb8e85f73b239"},"schema_version":"1.0","source":{"id":"1906.09683","kind":"arxiv","version":2}},"canonical_sha256":"38f14115739000d9c8734b4498e7cb1510dbe54cc27109817e25ef0bac58a726","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38f14115739000d9c8734b4498e7cb1510dbe54cc27109817e25ef0bac58a726","first_computed_at":"2026-05-17T23:42:01.988054Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:01.988054Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b/hgtKi64BONMQnEPxqkEBwqP0MXcSx+D7+7c081CP54tipaSWF/YpHrQn87dr7x54w9Rgn/xBr9jk+Bq9aSAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:01.988590Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09683","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6a96a0d97d41a4a6d72b215575c05c1f45f393e19f11b665480f7d62a088902","sha256:8305ba5b17108b7e77fdccc3040917253a9a19a187c7e347151ce106cf9d216e"],"state_sha256":"dba43103361c6a18b2e3ed7668e4b90761420eaeb03e5f5f5047c85905e9578a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4QXyo1ddwJp7NGILqNPjxNyyI8kN4UklzJcp7MnUkvHI8vzmaB8VmB5jViCsppacCke3nOumIG8pVtjL/rKiCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T08:35:41.220489Z","bundle_sha256":"d84d839b083076b42547839c9c8f13f2d4b244cee9cea5401f212b7f52ed8b3c"}}