{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5PV7EI4KZBLUZA5SWDBGDIF42T","short_pith_number":"pith:5PV7EI4K","canonical_record":{"source":{"id":"2002.02609","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-07T03:45:25Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"dabdf328dbf355861f9f38a220aff889f9af3654c6132663b776fe1559ed76b5","abstract_canon_sha256":"bcb369b6729d89952eb9b9b32e60efbd47ad24e02511174da349cdc1c67080df"},"schema_version":"1.0"},"canonical_sha256":"ebebf2238ac8574c83b2b0c261a0bcd4ec69e52fa7b7d960b5d8c0d10f2cb927","source":{"kind":"arxiv","id":"2002.02609","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.02609","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"2002.02609v2","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.02609","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"5PV7EI4KZBLU","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_16","alias_value":"5PV7EI4KZBLUZA5S","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_8","alias_value":"5PV7EI4K","created_at":"2026-07-05T01:39:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5PV7EI4KZBLUZA5SWDBGDIF42T","target":"record","payload":{"canonical_record":{"source":{"id":"2002.02609","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-07T03:45:25Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"dabdf328dbf355861f9f38a220aff889f9af3654c6132663b776fe1559ed76b5","abstract_canon_sha256":"bcb369b6729d89952eb9b9b32e60efbd47ad24e02511174da349cdc1c67080df"},"schema_version":"1.0"},"canonical_sha256":"ebebf2238ac8574c83b2b0c261a0bcd4ec69e52fa7b7d960b5d8c0d10f2cb927","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:39:56.110044Z","signature_b64":"cO6hkRZbtNoc2GeePBwA4B5GhTMjFJ0pDTylHHczq8lfU9fzK1Q4h5Fiu83yqFy/MTvpLAKqyLGe3w7u+ATFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebebf2238ac8574c83b2b0c261a0bcd4ec69e52fa7b7d960b5d8c0d10f2cb927","last_reissued_at":"2026-07-05T01:39:56.109547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:39:56.109547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.02609","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":"2026-07-05T01:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWNkTMrZqp/sI1FqX7VI1EXKgPAKbBDcZkKx14PEIboWEu3AY4whMSiQZeDWDT7mE8hjgqtnLXxFZ1jwwK7XBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:04:29.672255Z"},"content_sha256":"f8ef2113b512c87db8eb683ef0dbb1cea9a90ecfa81f5c50e6908a30bacec1eb","schema_version":"1.0","event_id":"sha256:f8ef2113b512c87db8eb683ef0dbb1cea9a90ecfa81f5c50e6908a30bacec1eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5PV7EI4KZBLUZA5SWDBGDIF42T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Fine-grained Inpainting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Jie Li, Xinbo Gao, Xiumei Wang, Zheng Hui","submitted_at":"2020-02-07T03:45:25Z","abstract_excerpt":"Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from completed results with unreasonable structure or blurriness. To mitigate this problem, in this paper, we present a one-stage model that utilizes dense combinations of dilated convolutions to obtain larger and more effective receptive fields. Benefited from the property of this network, we can more easily recover large regions in an incomplete image. To better train this efficient generator, except for frequently-used VGG "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.02609","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2002.02609/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":"2026-07-05T01:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ODjFMbMPRVjrKEq/eS5mdGGzsAJTCUcyc0sOL7ECZAs5tv/ZW6vcefx9sNR6Di80Ebu9wlmotMj4x2rnrJhuDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:04:29.672785Z"},"content_sha256":"01a7d33cf540ed3f08e9edb5796e5c929c9358914a82a9cc6166924118bc0a4f","schema_version":"1.0","event_id":"sha256:01a7d33cf540ed3f08e9edb5796e5c929c9358914a82a9cc6166924118bc0a4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/bundle.json","state_url":"https://pith.science/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/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":"2026-08-07T18:04:29Z","links":{"resolver":"https://pith.science/pith/5PV7EI4KZBLUZA5SWDBGDIF42T","bundle":"https://pith.science/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/bundle.json","state":"https://pith.science/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PV7EI4KZBLUZA5SWDBGDIF42T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5PV7EI4KZBLUZA5SWDBGDIF42T","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":"bcb369b6729d89952eb9b9b32e60efbd47ad24e02511174da349cdc1c67080df","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-07T03:45:25Z","title_canon_sha256":"dabdf328dbf355861f9f38a220aff889f9af3654c6132663b776fe1559ed76b5"},"schema_version":"1.0","source":{"id":"2002.02609","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.02609","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"2002.02609v2","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.02609","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"5PV7EI4KZBLU","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_16","alias_value":"5PV7EI4KZBLUZA5S","created_at":"2026-07-05T01:39:56Z"},{"alias_kind":"pith_short_8","alias_value":"5PV7EI4K","created_at":"2026-07-05T01:39:56Z"}],"graph_snapshots":[{"event_id":"sha256:01a7d33cf540ed3f08e9edb5796e5c929c9358914a82a9cc6166924118bc0a4f","target":"graph","created_at":"2026-07-05T01:39:56Z","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/2002.02609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from completed results with unreasonable structure or blurriness. To mitigate this problem, in this paper, we present a one-stage model that utilizes dense combinations of dilated convolutions to obtain larger and more effective receptive fields. Benefited from the property of this network, we can more easily recover large regions in an incomplete image. To better train this efficient generator, except for frequently-used VGG ","authors_text":"Jie Li, Xinbo Gao, Xiumei Wang, Zheng Hui","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-07T03:45:25Z","title":"Image Fine-grained Inpainting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.02609","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:f8ef2113b512c87db8eb683ef0dbb1cea9a90ecfa81f5c50e6908a30bacec1eb","target":"record","created_at":"2026-07-05T01:39:56Z","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":"bcb369b6729d89952eb9b9b32e60efbd47ad24e02511174da349cdc1c67080df","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-07T03:45:25Z","title_canon_sha256":"dabdf328dbf355861f9f38a220aff889f9af3654c6132663b776fe1559ed76b5"},"schema_version":"1.0","source":{"id":"2002.02609","kind":"arxiv","version":2}},"canonical_sha256":"ebebf2238ac8574c83b2b0c261a0bcd4ec69e52fa7b7d960b5d8c0d10f2cb927","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebebf2238ac8574c83b2b0c261a0bcd4ec69e52fa7b7d960b5d8c0d10f2cb927","first_computed_at":"2026-07-05T01:39:56.109547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:39:56.109547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cO6hkRZbtNoc2GeePBwA4B5GhTMjFJ0pDTylHHczq8lfU9fzK1Q4h5Fiu83yqFy/MTvpLAKqyLGe3w7u+ATFCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:39:56.110044Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.02609","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8ef2113b512c87db8eb683ef0dbb1cea9a90ecfa81f5c50e6908a30bacec1eb","sha256:01a7d33cf540ed3f08e9edb5796e5c929c9358914a82a9cc6166924118bc0a4f"],"state_sha256":"b5c4a33dedf4af37a42e45c0c8dccafeb83a802bb8005fc6cb9b7e1563c55f21"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qiKgMQ70heFRLOkcLngsrHa5K08N04ukknz///hjxMsPQJ4rZjiIbZYg5Bbmk0wbiknSeE7sU9Jd9moulMZeAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:04:29.678970Z","bundle_sha256":"74931a2f6f020cd87500e23a0ef6f951bd7b9ba25b8c54c940b72e03e65607d7"}}