{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7ETXSNEE5K5UZMGSSYYUBVHGUY","short_pith_number":"pith:7ETXSNEE","canonical_record":{"source":{"id":"1804.02958","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T13:13:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6bc8518f517cfae4697ab423af0d609e45c134fca467e1867a969bc301da666a","abstract_canon_sha256":"65c30ff678b57d26aafc553ebd46f8ad280e3bbb66448d8c52f21200552d1326"},"schema_version":"1.0"},"canonical_sha256":"f927793484eabb4cb0d2963140d4e6a602e2251394fefa98898a5d1906399635","source":{"kind":"arxiv","id":"1804.02958","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02958","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02958v3","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02958","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"7ETXSNEE5K5U","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"7ETXSNEE5K5UZMGS","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"7ETXSNEE","created_at":"2026-07-04T23:58:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7ETXSNEE5K5UZMGSSYYUBVHGUY","target":"record","payload":{"canonical_record":{"source":{"id":"1804.02958","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T13:13:29Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6bc8518f517cfae4697ab423af0d609e45c134fca467e1867a969bc301da666a","abstract_canon_sha256":"65c30ff678b57d26aafc553ebd46f8ad280e3bbb66448d8c52f21200552d1326"},"schema_version":"1.0"},"canonical_sha256":"f927793484eabb4cb0d2963140d4e6a602e2251394fefa98898a5d1906399635","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:58:03.145990Z","signature_b64":"VtPw7jvPyaaD4x0gO5fD4PnRKLGiX2uRJktWZA0ezbcb9n0Wl3t/D46jA3G1xrL6GC6AbozFyHGdujUjEZxUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f927793484eabb4cb0d2963140d4e6a602e2251394fefa98898a5d1906399635","last_reissued_at":"2026-07-04T23:58:03.145491Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:58:03.145491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.02958","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":"2026-07-04T23:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/JYyxcrKchVzitDeIWi14dt9Tow2c1pxfyc9kiQcJXs4kqzHTH82Z6xVZtEgfPdDGJfH9vE4fJFRlFsUQzYhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T18:32:37.966670Z"},"content_sha256":"70d377b7e5af2e68658656f9dbf185fbe9bd9dbfe072adcedaee03b19dc6b58d","schema_version":"1.0","event_id":"sha256:70d377b7e5af2e68658656f9dbf185fbe9bd9dbfe072adcedaee03b19dc6b58d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7ETXSNEE5K5UZMGSSYYUBVHGUY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Adversarial Networks for Extreme Learned Image Compression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Eirikur Agustsson, Fabian Mentzer, Luc Van Gool, Michael Tschannen, Radu Timofte","submitted_at":"2018-04-09T13:13:29Z","abstract_excerpt":"We present a learned image compression system based on GANs, operating at extremely low bitrates. Our proposed framework combines an encoder, decoder/generator and a multi-scale discriminator, which we train jointly for a generative learned compression objective. The model synthesizes details it cannot afford to store, obtaining visually pleasing results at bitrates where previous methods fail and show strong artifacts. Furthermore, if a semantic label map of the original image is available, our method can fully synthesize unimportant regions in the decoded image such as streets and trees from"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02958","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1804.02958/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":"2026-07-04T23:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mc0jy0R2pW3NO5ux/nMpj+/MIYv8dPkHXCk0Njr0ww/K9j1HNFiFt81BsV8Jq9yXz/tqZH27f70bTZnFt1VfCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T18:32:37.967243Z"},"content_sha256":"1c4b67cc9c989b7cba1794aab210d1772f73f16e76f21ead14480fe95a1c654d","schema_version":"1.0","event_id":"sha256:1c4b67cc9c989b7cba1794aab210d1772f73f16e76f21ead14480fe95a1c654d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/bundle.json","state_url":"https://pith.science/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/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":"2026-08-13T18:32:37Z","links":{"resolver":"https://pith.science/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY","bundle":"https://pith.science/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/bundle.json","state":"https://pith.science/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7ETXSNEE5K5UZMGSSYYUBVHGUY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7ETXSNEE5K5UZMGSSYYUBVHGUY","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":"65c30ff678b57d26aafc553ebd46f8ad280e3bbb66448d8c52f21200552d1326","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T13:13:29Z","title_canon_sha256":"6bc8518f517cfae4697ab423af0d609e45c134fca467e1867a969bc301da666a"},"schema_version":"1.0","source":{"id":"1804.02958","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02958","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02958v3","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02958","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"7ETXSNEE5K5U","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"7ETXSNEE5K5UZMGS","created_at":"2026-07-04T23:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"7ETXSNEE","created_at":"2026-07-04T23:58:03Z"}],"graph_snapshots":[{"event_id":"sha256:1c4b67cc9c989b7cba1794aab210d1772f73f16e76f21ead14480fe95a1c654d","target":"graph","created_at":"2026-07-04T23:58:03Z","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/1804.02958/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a learned image compression system based on GANs, operating at extremely low bitrates. Our proposed framework combines an encoder, decoder/generator and a multi-scale discriminator, which we train jointly for a generative learned compression objective. The model synthesizes details it cannot afford to store, obtaining visually pleasing results at bitrates where previous methods fail and show strong artifacts. Furthermore, if a semantic label map of the original image is available, our method can fully synthesize unimportant regions in the decoded image such as streets and trees from","authors_text":"Eirikur Agustsson, Fabian Mentzer, Luc Van Gool, Michael Tschannen, Radu Timofte","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T13:13:29Z","title":"Generative Adversarial Networks for Extreme Learned Image Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02958","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":"sha256:70d377b7e5af2e68658656f9dbf185fbe9bd9dbfe072adcedaee03b19dc6b58d","target":"record","created_at":"2026-07-04T23:58:03Z","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":"65c30ff678b57d26aafc553ebd46f8ad280e3bbb66448d8c52f21200552d1326","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-09T13:13:29Z","title_canon_sha256":"6bc8518f517cfae4697ab423af0d609e45c134fca467e1867a969bc301da666a"},"schema_version":"1.0","source":{"id":"1804.02958","kind":"arxiv","version":3}},"canonical_sha256":"f927793484eabb4cb0d2963140d4e6a602e2251394fefa98898a5d1906399635","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f927793484eabb4cb0d2963140d4e6a602e2251394fefa98898a5d1906399635","first_computed_at":"2026-07-04T23:58:03.145491Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:58:03.145491Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VtPw7jvPyaaD4x0gO5fD4PnRKLGiX2uRJktWZA0ezbcb9n0Wl3t/D46jA3G1xrL6GC6AbozFyHGdujUjEZxUBw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:58:03.145990Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.02958","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70d377b7e5af2e68658656f9dbf185fbe9bd9dbfe072adcedaee03b19dc6b58d","sha256:1c4b67cc9c989b7cba1794aab210d1772f73f16e76f21ead14480fe95a1c654d"],"state_sha256":"796eca1e12149dd3f9b528237aba91062e233dba31121ae3f673fe352a183df4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cJ6aonHLqRHP4vgivaUHQ/ByXTnoHbpJVLur+HviyEk4rfYyGtkl/iefBloko05cXqJOLWEbhFAlj31T3oggCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T18:32:37.970462Z","bundle_sha256":"76ee11c0caa1c9f4c791bd75179d45235030f74e696287dd76534bdc0ecd5e05"}}