{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:IMWWODC6JTMP7PGDX3ZAYIHJ4Z","short_pith_number":"pith:IMWWODC6","canonical_record":{"source":{"id":"2106.04419","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T12:05:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"768bc3cb86d02b946d98945299aea1d017c36f5031466eca4041f1a4472789ce","abstract_canon_sha256":"c8a7b89a751812b4f028e11c2b73c7c1522aaeee42e78d7c29a2d5e8f74dcc10"},"schema_version":"1.0"},"canonical_sha256":"432d670c5e4cd8ffbcc3bef20c20e9e659c60ee5a0b58c8b4c07748928180953","source":{"kind":"arxiv","id":"2106.04419","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.04419","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2106.04419v2","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.04419","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"IMWWODC6JTMP","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"IMWWODC6JTMP7PGD","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"IMWWODC6","created_at":"2026-07-05T02:50:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:IMWWODC6JTMP7PGDX3ZAYIHJ4Z","target":"record","payload":{"canonical_record":{"source":{"id":"2106.04419","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T12:05:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"768bc3cb86d02b946d98945299aea1d017c36f5031466eca4041f1a4472789ce","abstract_canon_sha256":"c8a7b89a751812b4f028e11c2b73c7c1522aaeee42e78d7c29a2d5e8f74dcc10"},"schema_version":"1.0"},"canonical_sha256":"432d670c5e4cd8ffbcc3bef20c20e9e659c60ee5a0b58c8b4c07748928180953","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:47.174066Z","signature_b64":"+AiiZm7thutJzEERQ2LJMdiQKXF5M7iOiuz2T4M7ZHDTwYtJtxPVliRTxn5tZyML8EY4e6uLwTkMW0CkLerUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"432d670c5e4cd8ffbcc3bef20c20e9e659c60ee5a0b58c8b4c07748928180953","last_reissued_at":"2026-07-05T02:50:47.173660Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:47.173660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.04419","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":"2026-07-05T02:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4FavupJVJxt5wWE/PkSqz6vCdO+/AgbCQuD+sbr41tMUpLRFrguSV2Yf/kmsdGU90kJOj6ayWF9vnzGqlpUNAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:13:29.807853Z"},"content_sha256":"cdb1e22723d20d5ddfa5dd2970c7e2d208abadfc35c6c63ea45edcc4d6c54758","schema_version":"1.0","event_id":"sha256:cdb1e22723d20d5ddfa5dd2970c7e2d208abadfc35c6c63ea45edcc4d6c54758"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:IMWWODC6JTMP7PGDX3ZAYIHJ4Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Asymmetrical Bi-RNN for pedestrian trajectory encoding","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Fabien Moutarde, Joseph Gesnouin, Rapha\\\"el Rozenberg","submitted_at":"2021-06-01T12:05:15Z","abstract_excerpt":"Pedestrian motion behavior involves a combination of individual goals and social interactions with other agents. In this article, we present an asymmetrical bidirectional recurrent neural network architecture called U-RNN to encode pedestrian trajectories and evaluate its relevance to replace LSTMs for various forecasting models. Experimental results on the Trajnet++ benchmark show that the U-LSTM variant yields better results regarding every available metrics (ADE, FDE, Collision rate) than common trajectory encoders for a variety of approaches and interaction modules, suggesting that the pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.04419","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/2106.04419/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":"2026-07-05T02:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aS0sKr7A1r/2EK6FsiiX5h/hmsAp1ASzHni1G6c9rPJzzbWAQ3wPyEoFFYuET/HpBOCNmiNK8NQ60b5rTuKxCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:13:29.808180Z"},"content_sha256":"c0255a1e66fc5e5e4a954fc563e5057e5f32c4dbe9e13d90fe78997960dce1b0","schema_version":"1.0","event_id":"sha256:c0255a1e66fc5e5e4a954fc563e5057e5f32c4dbe9e13d90fe78997960dce1b0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/bundle.json","state_url":"https://pith.science/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/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":"2026-08-21T13:13:29Z","links":{"resolver":"https://pith.science/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z","bundle":"https://pith.science/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/bundle.json","state":"https://pith.science/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IMWWODC6JTMP7PGDX3ZAYIHJ4Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:IMWWODC6JTMP7PGDX3ZAYIHJ4Z","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":"c8a7b89a751812b4f028e11c2b73c7c1522aaeee42e78d7c29a2d5e8f74dcc10","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T12:05:15Z","title_canon_sha256":"768bc3cb86d02b946d98945299aea1d017c36f5031466eca4041f1a4472789ce"},"schema_version":"1.0","source":{"id":"2106.04419","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.04419","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2106.04419v2","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.04419","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"IMWWODC6JTMP","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"IMWWODC6JTMP7PGD","created_at":"2026-07-05T02:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"IMWWODC6","created_at":"2026-07-05T02:50:47Z"}],"graph_snapshots":[{"event_id":"sha256:c0255a1e66fc5e5e4a954fc563e5057e5f32c4dbe9e13d90fe78997960dce1b0","target":"graph","created_at":"2026-07-05T02:50:47Z","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/2106.04419/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pedestrian motion behavior involves a combination of individual goals and social interactions with other agents. In this article, we present an asymmetrical bidirectional recurrent neural network architecture called U-RNN to encode pedestrian trajectories and evaluate its relevance to replace LSTMs for various forecasting models. Experimental results on the Trajnet++ benchmark show that the U-LSTM variant yields better results regarding every available metrics (ADE, FDE, Collision rate) than common trajectory encoders for a variety of approaches and interaction modules, suggesting that the pro","authors_text":"Fabien Moutarde, Joseph Gesnouin, Rapha\\\"el Rozenberg","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T12:05:15Z","title":"Asymmetrical Bi-RNN for pedestrian trajectory encoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.04419","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:cdb1e22723d20d5ddfa5dd2970c7e2d208abadfc35c6c63ea45edcc4d6c54758","target":"record","created_at":"2026-07-05T02:50:47Z","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":"c8a7b89a751812b4f028e11c2b73c7c1522aaeee42e78d7c29a2d5e8f74dcc10","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-01T12:05:15Z","title_canon_sha256":"768bc3cb86d02b946d98945299aea1d017c36f5031466eca4041f1a4472789ce"},"schema_version":"1.0","source":{"id":"2106.04419","kind":"arxiv","version":2}},"canonical_sha256":"432d670c5e4cd8ffbcc3bef20c20e9e659c60ee5a0b58c8b4c07748928180953","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"432d670c5e4cd8ffbcc3bef20c20e9e659c60ee5a0b58c8b4c07748928180953","first_computed_at":"2026-07-05T02:50:47.173660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:47.173660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+AiiZm7thutJzEERQ2LJMdiQKXF5M7iOiuz2T4M7ZHDTwYtJtxPVliRTxn5tZyML8EY4e6uLwTkMW0CkLerUCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:47.174066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.04419","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdb1e22723d20d5ddfa5dd2970c7e2d208abadfc35c6c63ea45edcc4d6c54758","sha256:c0255a1e66fc5e5e4a954fc563e5057e5f32c4dbe9e13d90fe78997960dce1b0"],"state_sha256":"daa03cb1c20d54b1e5e430343c1b3d66e58178e4ceb94b42c832821088a3d337"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Et2eVmLuG2lqhMxfaJ+1z0azq/ND4nKRhgOiwUDTTl4ui2jpoG4Cv0sqF0+8rWdngr8lH0iODiuGNmULhEQCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T13:13:29.811707Z","bundle_sha256":"303e342ab09e6772e31946da8a42ee0000acb8c92f28c535c9b2eba9d0be41a3"}}