{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ALIMDVZQQ3HUHNBKZ4YQ6JOLV7","short_pith_number":"pith:ALIMDVZQ","canonical_record":{"source":{"id":"2608.01495","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:56:14Z","cross_cats_sorted":[],"title_canon_sha256":"c162a2f64de42361bd61547d934ae74651f93d86d0ddd7cacd69b365c931b5e6","abstract_canon_sha256":"5d6382e1919ace1b592c5f38f4c12c3521b5cb5440e88add55eb5faa866ce0e6"},"schema_version":"1.0"},"canonical_sha256":"02d0c1d73086cf43b42acf310f25cbafe95a88be566d67cada62020fbf4cb285","source":{"kind":"arxiv","id":"2608.01495","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01495","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01495v1","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01495","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"ALIMDVZQQ3HU","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"ALIMDVZQQ3HUHNBK","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"ALIMDVZQ","created_at":"2026-08-04T02:05:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ALIMDVZQQ3HUHNBKZ4YQ6JOLV7","target":"record","payload":{"canonical_record":{"source":{"id":"2608.01495","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:56:14Z","cross_cats_sorted":[],"title_canon_sha256":"c162a2f64de42361bd61547d934ae74651f93d86d0ddd7cacd69b365c931b5e6","abstract_canon_sha256":"5d6382e1919ace1b592c5f38f4c12c3521b5cb5440e88add55eb5faa866ce0e6"},"schema_version":"1.0"},"canonical_sha256":"02d0c1d73086cf43b42acf310f25cbafe95a88be566d67cada62020fbf4cb285","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:05:31.408080Z","signature_b64":"kZfBlMil4/laRpmnBkkS3Jir0ut9L1Ojo61Csm0/MFaUaEnv+HqGQourDz56z1CGcoplsPEHeXBr0p3TrsuiBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02d0c1d73086cf43b42acf310f25cbafe95a88be566d67cada62020fbf4cb285","last_reissued_at":"2026-08-04T02:05:31.405951Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:05:31.405951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.01495","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-04T02:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rcifNw2HM4wWZG4lARLmzuyWOqt5oi56AA50v4Vu/Pjk+PWmDSM31BFoMWPFij1yRHUKJyIxucqDtwVJCWt6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:19:25.326817Z"},"content_sha256":"2694c41854ed460c51c31c039b55c5989dabf16bfe6c46d18591135710090dd7","schema_version":"1.0","event_id":"sha256:2694c41854ed460c51c31c039b55c5989dabf16bfe6c46d18591135710090dd7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ALIMDVZQQ3HUHNBKZ4YQ6JOLV7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probing the 3D Object-Level Understanding of Pre-Trained Detection Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin M. Marlin, Colin Samplawski, Robin Kim","submitted_at":"2026-08-02T20:56:14Z","abstract_excerpt":"Detection transformer models, including DETR and its extensions, learn to output a set of object-level embeddings that can be simultaneously decoded into 2D bounding boxes and class distributions. In this paper, we investigate what pre-trained 2D detection transformers understand about the 3D properties of objects. Specifically, we investigate the extent to which properties including the depth of objects from the camera and the 3D location of objects relative to the camera can be recovered from object-level embeddings using linear and non-linear probes. Across a range of detection transformer "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01495","kind":"arxiv","version":1},"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/2608.01495/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":"2026-08-04T02:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wdfhPAw2PbnTMN/UbziGwbcTNqovXzTzKzWM/65MSi4WqWqLtObazmOc3/7TmOuvZpRs23WL39T239re6ec8Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:19:25.327369Z"},"content_sha256":"e1d9c6516881fbb86eb17d419f15c60b325a9b59ba9f9ce329eeef16ef6aa8a1","schema_version":"1.0","event_id":"sha256:e1d9c6516881fbb86eb17d419f15c60b325a9b59ba9f9ce329eeef16ef6aa8a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/bundle.json","state_url":"https://pith.science/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/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":"2026-08-07T05:19:25Z","links":{"resolver":"https://pith.science/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7","bundle":"https://pith.science/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/bundle.json","state":"https://pith.science/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALIMDVZQQ3HUHNBKZ4YQ6JOLV7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ALIMDVZQQ3HUHNBKZ4YQ6JOLV7","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":"5d6382e1919ace1b592c5f38f4c12c3521b5cb5440e88add55eb5faa866ce0e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:56:14Z","title_canon_sha256":"c162a2f64de42361bd61547d934ae74651f93d86d0ddd7cacd69b365c931b5e6"},"schema_version":"1.0","source":{"id":"2608.01495","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.01495","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2608.01495v1","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01495","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"ALIMDVZQQ3HU","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"ALIMDVZQQ3HUHNBK","created_at":"2026-08-04T02:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"ALIMDVZQ","created_at":"2026-08-04T02:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:e1d9c6516881fbb86eb17d419f15c60b325a9b59ba9f9ce329eeef16ef6aa8a1","target":"graph","created_at":"2026-08-04T02:05:31Z","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/2608.01495/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detection transformer models, including DETR and its extensions, learn to output a set of object-level embeddings that can be simultaneously decoded into 2D bounding boxes and class distributions. In this paper, we investigate what pre-trained 2D detection transformers understand about the 3D properties of objects. Specifically, we investigate the extent to which properties including the depth of objects from the camera and the 3D location of objects relative to the camera can be recovered from object-level embeddings using linear and non-linear probes. Across a range of detection transformer ","authors_text":"Benjamin M. Marlin, Colin Samplawski, Robin Kim","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:56:14Z","title":"Probing the 3D Object-Level Understanding of Pre-Trained Detection Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01495","kind":"arxiv","version":1},"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":"sha256:2694c41854ed460c51c31c039b55c5989dabf16bfe6c46d18591135710090dd7","target":"record","created_at":"2026-08-04T02:05:31Z","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":"5d6382e1919ace1b592c5f38f4c12c3521b5cb5440e88add55eb5faa866ce0e6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-02T20:56:14Z","title_canon_sha256":"c162a2f64de42361bd61547d934ae74651f93d86d0ddd7cacd69b365c931b5e6"},"schema_version":"1.0","source":{"id":"2608.01495","kind":"arxiv","version":1}},"canonical_sha256":"02d0c1d73086cf43b42acf310f25cbafe95a88be566d67cada62020fbf4cb285","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02d0c1d73086cf43b42acf310f25cbafe95a88be566d67cada62020fbf4cb285","first_computed_at":"2026-08-04T02:05:31.405951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:05:31.405951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kZfBlMil4/laRpmnBkkS3Jir0ut9L1Ojo61Csm0/MFaUaEnv+HqGQourDz56z1CGcoplsPEHeXBr0p3TrsuiBQ==","signature_status":"signed_v1","signed_at":"2026-08-04T02:05:31.408080Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.01495","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2694c41854ed460c51c31c039b55c5989dabf16bfe6c46d18591135710090dd7","sha256:e1d9c6516881fbb86eb17d419f15c60b325a9b59ba9f9ce329eeef16ef6aa8a1"],"state_sha256":"579a3d69ed80d37eeab0498fca18be91faccbd7f2a938bf1b63f47ec69d15bb9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g6HYiVv65FGh/V2Hixwu5PrC47zzj3WFPYEn6tKek+TcEv5ABU12Ocvo+XguqJOl97IEhSa3shGLE6+2hnf+Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:19:25.332659Z","bundle_sha256":"b73fcea5b4761020657904a588412f988e5e691e13124ad70378d1ca6c9d1dc8"}}