{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:JUDW7CW2HJBF4XGCULIF6QDMMK","short_pith_number":"pith:JUDW7CW2","schema_version":"1.0","canonical_sha256":"4d076f8ada3a425e5cc2a2d05f406c628cbedc07c019b88dac5ce33a9c1e592d","source":{"kind":"arxiv","id":"2102.12239","version":2},"attestation_state":"computed","paper":{"title":"State-of-the-Art in Human Scanpath Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Matthias Bethge, Matthias K\\\"ummerer","submitted_at":"2021-02-24T12:01:28Z","abstract_excerpt":"The last years have seen a surge in models predicting the scanpaths of fixations made by humans when viewing images. However, the field is lacking a principled comparison of those models with respect to their predictive power. In the past, models have usually been evaluated based on comparing human scanpaths to scanpaths generated from the model. Here, instead we evaluate models based on how well they predict each fixation in a scanpath given the previous scanpath history. This makes model evaluation closely aligned with the biological processes thought to underly scanpath generation and allow"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2102.12239","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-24T12:01:28Z","cross_cats_sorted":[],"title_canon_sha256":"ad1b9edc4fb48f1e0071c2ecc3a9fb6dc5761fb12dc48815038e543e32dcc19c","abstract_canon_sha256":"551474d7cd319b8cd46cff776afa8b0d63dacadd492eb5a354b636bb81e5346b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:19:42.147844Z","signature_b64":"ewugJWmR2htbzIIbKOLnALVo32d3XPloJTrGsDVweoZzr/hy4BozthHFMOOQB1uL0BD1VfKEsLpd54P33LeeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d076f8ada3a425e5cc2a2d05f406c628cbedc07c019b88dac5ce33a9c1e592d","last_reissued_at":"2026-07-05T03:19:42.147340Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:19:42.147340Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"State-of-the-Art in Human Scanpath Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Matthias Bethge, Matthias K\\\"ummerer","submitted_at":"2021-02-24T12:01:28Z","abstract_excerpt":"The last years have seen a surge in models predicting the scanpaths of fixations made by humans when viewing images. However, the field is lacking a principled comparison of those models with respect to their predictive power. In the past, models have usually been evaluated based on comparing human scanpaths to scanpaths generated from the model. Here, instead we evaluate models based on how well they predict each fixation in a scanpath given the previous scanpath history. This makes model evaluation closely aligned with the biological processes thought to underly scanpath generation and allow"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.12239","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/2102.12239/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2102.12239","created_at":"2026-07-05T03:19:42.147403+00:00"},{"alias_kind":"arxiv_version","alias_value":"2102.12239v2","created_at":"2026-07-05T03:19:42.147403+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.12239","created_at":"2026-07-05T03:19:42.147403+00:00"},{"alias_kind":"pith_short_12","alias_value":"JUDW7CW2HJBF","created_at":"2026-07-05T03:19:42.147403+00:00"},{"alias_kind":"pith_short_16","alias_value":"JUDW7CW2HJBF4XGC","created_at":"2026-07-05T03:19:42.147403+00:00"},{"alias_kind":"pith_short_8","alias_value":"JUDW7CW2","created_at":"2026-07-05T03:19:42.147403+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.08766","citing_title":"Follow My Eyes: Backdoor Attacks on Goal-Directed Scanpath Prediction","ref_index":30,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK","json":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK.json","graph_json":"https://pith.science/api/pith-number/JUDW7CW2HJBF4XGCULIF6QDMMK/graph.json","events_json":"https://pith.science/api/pith-number/JUDW7CW2HJBF4XGCULIF6QDMMK/events.json","paper":"https://pith.science/paper/JUDW7CW2"},"agent_actions":{"view_html":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK","download_json":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK.json","view_paper":"https://pith.science/paper/JUDW7CW2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2102.12239&json=true","fetch_graph":"https://pith.science/api/pith-number/JUDW7CW2HJBF4XGCULIF6QDMMK/graph.json","fetch_events":"https://pith.science/api/pith-number/JUDW7CW2HJBF4XGCULIF6QDMMK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK/action/storage_attestation","attest_author":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK/action/author_attestation","sign_citation":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK/action/citation_signature","submit_replication":"https://pith.science/pith/JUDW7CW2HJBF4XGCULIF6QDMMK/action/replication_record"}},"created_at":"2026-07-05T03:19:42.147403+00:00","updated_at":"2026-07-05T03:19:42.147403+00:00"}