{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BGSE4T47TKLVGT6PB3HJAHUXUD","short_pith_number":"pith:BGSE4T47","canonical_record":{"source":{"id":"2212.14397","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-29T18:07:56Z","cross_cats_sorted":[],"title_canon_sha256":"6683a621f8ed8503a46a1e3aa61ed740c688bf9bf23b5422d145cb5b429cce44","abstract_canon_sha256":"937e9dae52f1ff70d8d81893daaeea3748e7ed218e6ed83139a8a0663eca14b8"},"schema_version":"1.0"},"canonical_sha256":"09a44e4f9f9a97534fcf0ece901e97a0f5a59bb7cc0cb60068c98f3ee1697cba","source":{"kind":"arxiv","id":"2212.14397","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.14397","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2212.14397v3","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.14397","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"BGSE4T47TKLV","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"BGSE4T47TKLVGT6P","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"BGSE4T47","created_at":"2026-07-05T09:55:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BGSE4T47TKLVGT6PB3HJAHUXUD","target":"record","payload":{"canonical_record":{"source":{"id":"2212.14397","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-29T18:07:56Z","cross_cats_sorted":[],"title_canon_sha256":"6683a621f8ed8503a46a1e3aa61ed740c688bf9bf23b5422d145cb5b429cce44","abstract_canon_sha256":"937e9dae52f1ff70d8d81893daaeea3748e7ed218e6ed83139a8a0663eca14b8"},"schema_version":"1.0"},"canonical_sha256":"09a44e4f9f9a97534fcf0ece901e97a0f5a59bb7cc0cb60068c98f3ee1697cba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:55:05.730425Z","signature_b64":"BHSlTX6tQxgr+0kOXBzZhVkM5jbngTSxHYzLLMPKj5L9jjH9EKL3KSKO33wYgbe/FnFKED38APLCryljZd+9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09a44e4f9f9a97534fcf0ece901e97a0f5a59bb7cc0cb60068c98f3ee1697cba","last_reissued_at":"2026-07-05T09:55:05.729853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:55:05.729853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.14397","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":"2026-07-05T09:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F/HHGx86B15DdXLWaiMtzeu2L8bkI3Jn7kk3SalGAAwQ3Iz62Aty2NTK29qtw1w+vmX//xSpSqhOXCbU2JFqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:05:34.801721Z"},"content_sha256":"06a1814fa8847ba3ccef55fd7bd1219bf31a35e061402d80993605edbcc12189","schema_version":"1.0","event_id":"sha256:06a1814fa8847ba3ccef55fd7bd1219bf31a35e061402d80993605edbcc12189"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BGSE4T47TKLVGT6PB3HJAHUXUD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Annika M\\\"utze, Krzysztof Lis, Mathieu Salzmann, Matthias Rottmann, Pascal Fua, Sina Honari","submitted_at":"2022-12-29T18:07:56Z","abstract_excerpt":"In addition to impressive performance, vision transformers have demonstrated remarkable abilities to encode information they were not trained to extract. For example, this information can be used to perform segmentation or single-view depth estimation even though the networks were only trained for image recognition. We show that a similar phenomenon occurs when explicitly training transformers for semantic segmentation in a supervised manner for a set of categories: Once trained, they provide valuable information even about categories absent from the training set. This information can be used "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.14397","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/2212.14397/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":"2026-07-05T09:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HjgJUROeb+DyLhmD4ASL+nFNRKmeE4QArd1debbz0BD6TmP6MsEnC7zr25WSEdEuqrEgMdSM2wMTndotLrAAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:05:34.802752Z"},"content_sha256":"118fe65f7eddcb2be6824372061b0a8c0796538fac85cdc67d2a5f923f116825","schema_version":"1.0","event_id":"sha256:118fe65f7eddcb2be6824372061b0a8c0796538fac85cdc67d2a5f923f116825"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/bundle.json","state_url":"https://pith.science/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/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":"2026-08-04T14:05:34Z","links":{"resolver":"https://pith.science/pith/BGSE4T47TKLVGT6PB3HJAHUXUD","bundle":"https://pith.science/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/bundle.json","state":"https://pith.science/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BGSE4T47TKLVGT6PB3HJAHUXUD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BGSE4T47TKLVGT6PB3HJAHUXUD","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":"937e9dae52f1ff70d8d81893daaeea3748e7ed218e6ed83139a8a0663eca14b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-29T18:07:56Z","title_canon_sha256":"6683a621f8ed8503a46a1e3aa61ed740c688bf9bf23b5422d145cb5b429cce44"},"schema_version":"1.0","source":{"id":"2212.14397","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.14397","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2212.14397v3","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.14397","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"BGSE4T47TKLV","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"BGSE4T47TKLVGT6P","created_at":"2026-07-05T09:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"BGSE4T47","created_at":"2026-07-05T09:55:05Z"}],"graph_snapshots":[{"event_id":"sha256:118fe65f7eddcb2be6824372061b0a8c0796538fac85cdc67d2a5f923f116825","target":"graph","created_at":"2026-07-05T09:55:05Z","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/2212.14397/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In addition to impressive performance, vision transformers have demonstrated remarkable abilities to encode information they were not trained to extract. For example, this information can be used to perform segmentation or single-view depth estimation even though the networks were only trained for image recognition. We show that a similar phenomenon occurs when explicitly training transformers for semantic segmentation in a supervised manner for a set of categories: Once trained, they provide valuable information even about categories absent from the training set. This information can be used ","authors_text":"Annika M\\\"utze, Krzysztof Lis, Mathieu Salzmann, Matthias Rottmann, Pascal Fua, Sina Honari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-29T18:07:56Z","title":"AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.14397","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":"sha256:06a1814fa8847ba3ccef55fd7bd1219bf31a35e061402d80993605edbcc12189","target":"record","created_at":"2026-07-05T09:55:05Z","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":"937e9dae52f1ff70d8d81893daaeea3748e7ed218e6ed83139a8a0663eca14b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-29T18:07:56Z","title_canon_sha256":"6683a621f8ed8503a46a1e3aa61ed740c688bf9bf23b5422d145cb5b429cce44"},"schema_version":"1.0","source":{"id":"2212.14397","kind":"arxiv","version":3}},"canonical_sha256":"09a44e4f9f9a97534fcf0ece901e97a0f5a59bb7cc0cb60068c98f3ee1697cba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09a44e4f9f9a97534fcf0ece901e97a0f5a59bb7cc0cb60068c98f3ee1697cba","first_computed_at":"2026-07-05T09:55:05.729853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:55:05.729853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BHSlTX6tQxgr+0kOXBzZhVkM5jbngTSxHYzLLMPKj5L9jjH9EKL3KSKO33wYgbe/FnFKED38APLCryljZd+9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:55:05.730425Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.14397","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06a1814fa8847ba3ccef55fd7bd1219bf31a35e061402d80993605edbcc12189","sha256:118fe65f7eddcb2be6824372061b0a8c0796538fac85cdc67d2a5f923f116825"],"state_sha256":"b51fb065c4c2ae519d324aa983eb857dbf40c129ac11bec933065a91b39cb679"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B4puMB1+a6qXD2xPOzeoFeGYxxCaiMQOLu+NtuR5EfOO5xt5x0DohHExjCD8vdoHbWB3MJ0is6+5OExr+YB0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T14:05:34.841397Z","bundle_sha256":"ce9e080853df06aa27349db6f61697f94a637739bb045b86d04521bd70d296c5"}}