{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:R3AQWZVKT3IHBKS3OBKDZ377W3","short_pith_number":"pith:R3AQWZVK","canonical_record":{"source":{"id":"1807.10037","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-26T09:45:36Z","cross_cats_sorted":[],"title_canon_sha256":"ec91ef31738228d1a4c35ca25579f0d16b9c5bf814b338097a513af6afff25f4","abstract_canon_sha256":"928a138a0c236351c634ae7d1695b950effe9e5c937f132d8d83432379a83619"},"schema_version":"1.0"},"canonical_sha256":"8ec10b66aa9ed070aa5b70543cefffb6f973794fec9651fa085354952ca8415d","source":{"kind":"arxiv","id":"1807.10037","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10037","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10037v2","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10037","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"pith_short_12","alias_value":"R3AQWZVKT3IH","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"R3AQWZVKT3IHBKS3","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"R3AQWZVK","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:R3AQWZVKT3IHBKS3OBKDZ377W3","target":"record","payload":{"canonical_record":{"source":{"id":"1807.10037","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-26T09:45:36Z","cross_cats_sorted":[],"title_canon_sha256":"ec91ef31738228d1a4c35ca25579f0d16b9c5bf814b338097a513af6afff25f4","abstract_canon_sha256":"928a138a0c236351c634ae7d1695b950effe9e5c937f132d8d83432379a83619"},"schema_version":"1.0"},"canonical_sha256":"8ec10b66aa9ed070aa5b70543cefffb6f973794fec9651fa085354952ca8415d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:09.027391Z","signature_b64":"+Nxlx8WZEteyu/DCFvRRe0y2k9zo//6OJbVyK6KlKe3UGwA7Rnb/VI1wgpWBkW8gaT/pcwP4hAU+HIdTFiSMCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ec10b66aa9ed070aa5b70543cefffb6f973794fec9651fa085354952ca8415d","last_reissued_at":"2026-05-18T00:09:09.026938Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:09.026938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.10037","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":"2026-05-18T00:09:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9RUGj4kt21fVsw6tagDeLV6eSCiFCuUZ+djcNSaxpcKAy+oyHKh3ek+qKjqc/HBHxZ8xHzd6V18D+yppQy0mAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T23:20:53.704405Z"},"content_sha256":"cf15ae90c7a1050162a315582f5c11bfe4372b32cbfff87c41b8affeb10fa7ce","schema_version":"1.0","event_id":"sha256:cf15ae90c7a1050162a315582f5c11bfe4372b32cbfff87c41b8affeb10fa7ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:R3AQWZVKT3IHBKS3OBKDZ377W3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Motion Feature Network: Fixed Motion Filter for Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gyutae Park, Myunggi Lee, Nojun Kwak, Seungeui Lee, Sungjoon Son","submitted_at":"2018-07-26T09:45:36Z","abstract_excerpt":"Spatio-temporal representations in frame sequences play an important role in the task of action recognition. Previously, a method of using optical flow as a temporal information in combination with a set of RGB images that contain spatial information has shown great performance enhancement in the action recognition tasks. However, it has an expensive computational cost and requires two-stream (RGB and optical flow) framework. In this paper, we propose MFNet (Motion Feature Network) containing motion blocks which make it possible to encode spatio-temporal information between adjacent frames in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10037","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":"2026-05-18T00:09:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CApO24Jf2Szv9VoOJP7XFNZwKr7H3n/RH8AawzgnkOQvGweYhNcxMYL6j0MekFeqEHhhHxp26FA6saE6P0C7CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T23:20:53.704753Z"},"content_sha256":"18ec37f5f0e1bdc1902e7c609362349d0250cf7b1b5f7220061932d9cc2591ec","schema_version":"1.0","event_id":"sha256:18ec37f5f0e1bdc1902e7c609362349d0250cf7b1b5f7220061932d9cc2591ec"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/bundle.json","state_url":"https://pith.science/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/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":"2026-06-27T23:20:53Z","links":{"resolver":"https://pith.science/pith/R3AQWZVKT3IHBKS3OBKDZ377W3","bundle":"https://pith.science/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/bundle.json","state":"https://pith.science/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R3AQWZVKT3IHBKS3OBKDZ377W3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:R3AQWZVKT3IHBKS3OBKDZ377W3","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":"928a138a0c236351c634ae7d1695b950effe9e5c937f132d8d83432379a83619","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-26T09:45:36Z","title_canon_sha256":"ec91ef31738228d1a4c35ca25579f0d16b9c5bf814b338097a513af6afff25f4"},"schema_version":"1.0","source":{"id":"1807.10037","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10037","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10037v2","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10037","created_at":"2026-05-18T00:09:09Z"},{"alias_kind":"pith_short_12","alias_value":"R3AQWZVKT3IH","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"R3AQWZVKT3IHBKS3","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"R3AQWZVK","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:18ec37f5f0e1bdc1902e7c609362349d0250cf7b1b5f7220061932d9cc2591ec","target":"graph","created_at":"2026-05-18T00:09:09Z","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":"Spatio-temporal representations in frame sequences play an important role in the task of action recognition. Previously, a method of using optical flow as a temporal information in combination with a set of RGB images that contain spatial information has shown great performance enhancement in the action recognition tasks. However, it has an expensive computational cost and requires two-stream (RGB and optical flow) framework. In this paper, we propose MFNet (Motion Feature Network) containing motion blocks which make it possible to encode spatio-temporal information between adjacent frames in ","authors_text":"Gyutae Park, Myunggi Lee, Nojun Kwak, Seungeui Lee, Sungjoon Son","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-26T09:45:36Z","title":"Motion Feature Network: Fixed Motion Filter for Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10037","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:cf15ae90c7a1050162a315582f5c11bfe4372b32cbfff87c41b8affeb10fa7ce","target":"record","created_at":"2026-05-18T00:09:09Z","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":"928a138a0c236351c634ae7d1695b950effe9e5c937f132d8d83432379a83619","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-26T09:45:36Z","title_canon_sha256":"ec91ef31738228d1a4c35ca25579f0d16b9c5bf814b338097a513af6afff25f4"},"schema_version":"1.0","source":{"id":"1807.10037","kind":"arxiv","version":2}},"canonical_sha256":"8ec10b66aa9ed070aa5b70543cefffb6f973794fec9651fa085354952ca8415d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ec10b66aa9ed070aa5b70543cefffb6f973794fec9651fa085354952ca8415d","first_computed_at":"2026-05-18T00:09:09.026938Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:09.026938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Nxlx8WZEteyu/DCFvRRe0y2k9zo//6OJbVyK6KlKe3UGwA7Rnb/VI1wgpWBkW8gaT/pcwP4hAU+HIdTFiSMCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:09.027391Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.10037","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf15ae90c7a1050162a315582f5c11bfe4372b32cbfff87c41b8affeb10fa7ce","sha256:18ec37f5f0e1bdc1902e7c609362349d0250cf7b1b5f7220061932d9cc2591ec"],"state_sha256":"fd3b82da37978e26920005d47801c734609a9af96e60a1a0637ad018e3f236cc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6/7bJM6lIQ/b4s1aiQheeUyTWC8UhxBZP/jDxhisyzmFiriyxr/L9NP+nI4/Bu5C77mkIfzM8CjGY2QhXFU7Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T23:20:53.706658Z","bundle_sha256":"b14151195f24f3af17a562bfe39e3885c1a71223950de0016c1cc522a1c1e383"}}