{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:PHTGHNC7DZRDMDNYJEJETZRIYU","short_pith_number":"pith:PHTGHNC7","canonical_record":{"source":{"id":"1612.01756","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-12-06T11:15:28Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"36882ffbd3d3c46768bed2ec80026bf2755425b490d8daf9b3ac5d807dd264f9","abstract_canon_sha256":"0c2489e1236633f365dd74093a8bcfbd05f3fde44fd1197513c1f19284837f1e"},"schema_version":"1.0"},"canonical_sha256":"79e663b45f1e62360db8491249e628c52fab08411e62404023a064aa94e599ed","source":{"kind":"arxiv","id":"1612.01756","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.01756","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"arxiv_version","alias_value":"1612.01756v3","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.01756","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"pith_short_12","alias_value":"PHTGHNC7DZRD","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PHTGHNC7DZRDMDNY","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PHTGHNC7","created_at":"2026-05-18T12:30:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:PHTGHNC7DZRDMDNYJEJETZRIYU","target":"record","payload":{"canonical_record":{"source":{"id":"1612.01756","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-12-06T11:15:28Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"36882ffbd3d3c46768bed2ec80026bf2755425b490d8daf9b3ac5d807dd264f9","abstract_canon_sha256":"0c2489e1236633f365dd74093a8bcfbd05f3fde44fd1197513c1f19284837f1e"},"schema_version":"1.0"},"canonical_sha256":"79e663b45f1e62360db8491249e628c52fab08411e62404023a064aa94e599ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:41.908979Z","signature_b64":"+31LoZ3GnkMqo/4O402BKZ4AfyuY2GPytCor/2v9Oyqbv4r/+nV7+/8129NUWS/Bu1CWzY5zEVrjmmRhhIF9DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79e663b45f1e62360db8491249e628c52fab08411e62404023a064aa94e599ed","last_reissued_at":"2026-05-18T00:53:41.908515Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:41.908515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.01756","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:53:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"36erseVo9pLjpmnKOw2PayUi2DxvmxRIu2ChJ++aS60FevmvIosJgTBebmTTGKFQN0WIfzfK7ZjnOLdRMGZgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:50:38.075807Z"},"content_sha256":"6a5ceb5992ede78ddc6e7b68223d24875ec7bac25fa8a82ac712a8414fd841f9","schema_version":"1.0","event_id":"sha256:6a5ceb5992ede78ddc6e7b68223d24875ec7bac25fa8a82ac712a8414fd841f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:PHTGHNC7DZRDMDNYJEJETZRIYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Ladder Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Emre Aksu, Francesco Cricri, Mikko Honkala, Moncef Gabbouj, Xingyang Ni","submitted_at":"2016-12-06T11:15:28Z","abstract_excerpt":"We present the Video Ladder Network (VLN) for efficiently generating future video frames. VLN is a neural encoder-decoder model augmented at all layers by both recurrent and feedforward lateral connections. At each layer, these connections form a lateral recurrent residual block, where the feedforward connection represents a skip connection and the recurrent connection represents the residual. Thanks to the recurrent connections, the decoder can exploit temporal summaries generated from all layers of the encoder. This way, the top layer is relieved from the pressure of modeling lower-level spa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.01756","kind":"arxiv","version":3},"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":"2026-05-18T00:53:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsiVYmXM6YarP+pGgyTjpL4EugxxFW/1Bbp+QSnxTIN6qomGtyVR0/Dboogngvsyt69FFnj+EJY320x+3wMHBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:50:38.076154Z"},"content_sha256":"ea38ee5fd653bb513a4db2d3426a01a1cba11f7985057ceac0229d9423a6df84","schema_version":"1.0","event_id":"sha256:ea38ee5fd653bb513a4db2d3426a01a1cba11f7985057ceac0229d9423a6df84"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/bundle.json","state_url":"https://pith.science/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/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":"2026-05-28T09:50:38Z","links":{"resolver":"https://pith.science/pith/PHTGHNC7DZRDMDNYJEJETZRIYU","bundle":"https://pith.science/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/bundle.json","state":"https://pith.science/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PHTGHNC7DZRDMDNYJEJETZRIYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PHTGHNC7DZRDMDNYJEJETZRIYU","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":"0c2489e1236633f365dd74093a8bcfbd05f3fde44fd1197513c1f19284837f1e","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-12-06T11:15:28Z","title_canon_sha256":"36882ffbd3d3c46768bed2ec80026bf2755425b490d8daf9b3ac5d807dd264f9"},"schema_version":"1.0","source":{"id":"1612.01756","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.01756","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"arxiv_version","alias_value":"1612.01756v3","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.01756","created_at":"2026-05-18T00:53:41Z"},{"alias_kind":"pith_short_12","alias_value":"PHTGHNC7DZRD","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PHTGHNC7DZRDMDNY","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PHTGHNC7","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:ea38ee5fd653bb513a4db2d3426a01a1cba11f7985057ceac0229d9423a6df84","target":"graph","created_at":"2026-05-18T00:53:41Z","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":"We present the Video Ladder Network (VLN) for efficiently generating future video frames. VLN is a neural encoder-decoder model augmented at all layers by both recurrent and feedforward lateral connections. At each layer, these connections form a lateral recurrent residual block, where the feedforward connection represents a skip connection and the recurrent connection represents the residual. Thanks to the recurrent connections, the decoder can exploit temporal summaries generated from all layers of the encoder. This way, the top layer is relieved from the pressure of modeling lower-level spa","authors_text":"Emre Aksu, Francesco Cricri, Mikko Honkala, Moncef Gabbouj, Xingyang Ni","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-12-06T11:15:28Z","title":"Video Ladder Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.01756","kind":"arxiv","version":3},"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":"sha256:6a5ceb5992ede78ddc6e7b68223d24875ec7bac25fa8a82ac712a8414fd841f9","target":"record","created_at":"2026-05-18T00:53:41Z","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":"0c2489e1236633f365dd74093a8bcfbd05f3fde44fd1197513c1f19284837f1e","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-12-06T11:15:28Z","title_canon_sha256":"36882ffbd3d3c46768bed2ec80026bf2755425b490d8daf9b3ac5d807dd264f9"},"schema_version":"1.0","source":{"id":"1612.01756","kind":"arxiv","version":3}},"canonical_sha256":"79e663b45f1e62360db8491249e628c52fab08411e62404023a064aa94e599ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79e663b45f1e62360db8491249e628c52fab08411e62404023a064aa94e599ed","first_computed_at":"2026-05-18T00:53:41.908515Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:41.908515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+31LoZ3GnkMqo/4O402BKZ4AfyuY2GPytCor/2v9Oyqbv4r/+nV7+/8129NUWS/Bu1CWzY5zEVrjmmRhhIF9DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:41.908979Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.01756","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a5ceb5992ede78ddc6e7b68223d24875ec7bac25fa8a82ac712a8414fd841f9","sha256:ea38ee5fd653bb513a4db2d3426a01a1cba11f7985057ceac0229d9423a6df84"],"state_sha256":"e8b59d5ed848fca59915bf308490b1a4f19674ab4241bb6e0b15f2d5c61715e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2MH8YCA67ey/tRKXzSQOLpI6xKamcDBj+khXlfJvDbP0Ymntq+ElItgdco4uSbenbpctzGdT8H40jHuQzt/BBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T09:50:38.078097Z","bundle_sha256":"d793b58a61f6b04aa67d880816b9982b1323225adbe8105cce9efb293794eea4"}}