{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:AQ2UPV45IDNVS2VMWGZUI4SL4R","short_pith_number":"pith:AQ2UPV45","canonical_record":{"source":{"id":"2311.17776","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T16:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"a9820b5da8070209419fe647123681671efecb9a1bd4693c80ec51f9f83f2a74","abstract_canon_sha256":"f922033b006c590025c1d4c7a3b41e47b38b8fa84ea2131b517d420fd429ba9c"},"schema_version":"1.0"},"canonical_sha256":"043547d79d40db596aacb1b344724be45503eb669b72b5f616956cd6dcba382c","source":{"kind":"arxiv","id":"2311.17776","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17776","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17776v1","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17776","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_12","alias_value":"AQ2UPV45IDNV","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_16","alias_value":"AQ2UPV45IDNVS2VM","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_8","alias_value":"AQ2UPV45","created_at":"2026-07-05T07:18:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:AQ2UPV45IDNVS2VMWGZUI4SL4R","target":"record","payload":{"canonical_record":{"source":{"id":"2311.17776","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T16:23:06Z","cross_cats_sorted":[],"title_canon_sha256":"a9820b5da8070209419fe647123681671efecb9a1bd4693c80ec51f9f83f2a74","abstract_canon_sha256":"f922033b006c590025c1d4c7a3b41e47b38b8fa84ea2131b517d420fd429ba9c"},"schema_version":"1.0"},"canonical_sha256":"043547d79d40db596aacb1b344724be45503eb669b72b5f616956cd6dcba382c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:18:19.323248Z","signature_b64":"2HUQ+Yg9rbnb/3Tikd1gZBVloiXo9WF1r/Gxhoh178SAnBCJ077gYeZcIDY3iPYq+ciCShp0t/FLZF2LRp9cAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"043547d79d40db596aacb1b344724be45503eb669b72b5f616956cd6dcba382c","last_reissued_at":"2026-07-05T07:18:19.322638Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:18:19.322638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.17776","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":"2026-07-05T07:18:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hxKyu4RM4098HDaVGj21a77pTlaIfGNNFlAdN1dKTsXXAqhgCZIJMpUfZ+HofMVjM43JzKqW2KY2s7bQ8RQHCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:37:41.938111Z"},"content_sha256":"53ac288758155422d0faa4290f22da50b6a7bb4f181f5957358c5cbe9fcdcd2c","schema_version":"1.0","event_id":"sha256:53ac288758155422d0faa4290f22da50b6a7bb4f181f5957358c5cbe9fcdcd2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:AQ2UPV45IDNVS2VMWGZUI4SL4R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One-Shot Open Affordance Learning with Foundation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deqing Sun, Gen Li, Laura Sevilla-Lara, Varun Jampani","submitted_at":"2023-11-29T16:23:06Z","abstract_excerpt":"We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and affordances. While vision-language models excel at recognizing novel objects and scenes, they often struggle to understand finer levels of granularity such as affordances. To handle this issue, we conduct a comprehensive analysis of existing foundation models, to explore their inherent understanding of affordances and assess the potential for data-limited affordance learning. We then propose a vision-language framework wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17776","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/2311.17776/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":"2026-07-05T07:18:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3mKw71Oyv5XR0WhwcWLMIZyyXUPG6MhIY/UymIFudtfwXgp5pyNnrOtK6KHsyP01OhEwPXFN2Lipxbb45WSIDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:37:41.938990Z"},"content_sha256":"69369dc74a6d9e51aae6255f7bd0ef2401fe48634cfd5912af7cc7f16614f9c7","schema_version":"1.0","event_id":"sha256:69369dc74a6d9e51aae6255f7bd0ef2401fe48634cfd5912af7cc7f16614f9c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/bundle.json","state_url":"https://pith.science/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/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":"2026-08-07T19:37:41Z","links":{"resolver":"https://pith.science/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R","bundle":"https://pith.science/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/bundle.json","state":"https://pith.science/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AQ2UPV45IDNVS2VMWGZUI4SL4R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AQ2UPV45IDNVS2VMWGZUI4SL4R","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":"f922033b006c590025c1d4c7a3b41e47b38b8fa84ea2131b517d420fd429ba9c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T16:23:06Z","title_canon_sha256":"a9820b5da8070209419fe647123681671efecb9a1bd4693c80ec51f9f83f2a74"},"schema_version":"1.0","source":{"id":"2311.17776","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.17776","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"arxiv_version","alias_value":"2311.17776v1","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.17776","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_12","alias_value":"AQ2UPV45IDNV","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_16","alias_value":"AQ2UPV45IDNVS2VM","created_at":"2026-07-05T07:18:19Z"},{"alias_kind":"pith_short_8","alias_value":"AQ2UPV45","created_at":"2026-07-05T07:18:19Z"}],"graph_snapshots":[{"event_id":"sha256:69369dc74a6d9e51aae6255f7bd0ef2401fe48634cfd5912af7cc7f16614f9c7","target":"graph","created_at":"2026-07-05T07:18:19Z","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/2311.17776/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce One-shot Open Affordance Learning (OOAL), where a model is trained with just one example per base object category, but is expected to identify novel objects and affordances. While vision-language models excel at recognizing novel objects and scenes, they often struggle to understand finer levels of granularity such as affordances. To handle this issue, we conduct a comprehensive analysis of existing foundation models, to explore their inherent understanding of affordances and assess the potential for data-limited affordance learning. We then propose a vision-language framework wit","authors_text":"Deqing Sun, Gen Li, Laura Sevilla-Lara, Varun Jampani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T16:23:06Z","title":"One-Shot Open Affordance Learning with Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.17776","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":"sha256:53ac288758155422d0faa4290f22da50b6a7bb4f181f5957358c5cbe9fcdcd2c","target":"record","created_at":"2026-07-05T07:18:19Z","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":"f922033b006c590025c1d4c7a3b41e47b38b8fa84ea2131b517d420fd429ba9c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-29T16:23:06Z","title_canon_sha256":"a9820b5da8070209419fe647123681671efecb9a1bd4693c80ec51f9f83f2a74"},"schema_version":"1.0","source":{"id":"2311.17776","kind":"arxiv","version":1}},"canonical_sha256":"043547d79d40db596aacb1b344724be45503eb669b72b5f616956cd6dcba382c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"043547d79d40db596aacb1b344724be45503eb669b72b5f616956cd6dcba382c","first_computed_at":"2026-07-05T07:18:19.322638Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:18:19.322638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2HUQ+Yg9rbnb/3Tikd1gZBVloiXo9WF1r/Gxhoh178SAnBCJ077gYeZcIDY3iPYq+ciCShp0t/FLZF2LRp9cAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:18:19.323248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.17776","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53ac288758155422d0faa4290f22da50b6a7bb4f181f5957358c5cbe9fcdcd2c","sha256:69369dc74a6d9e51aae6255f7bd0ef2401fe48634cfd5912af7cc7f16614f9c7"],"state_sha256":"9f8e540c5b859b9c59e328e8cb494b9b8c23bbce139359a56e6c4517a9eba67c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GdCXQh71Cr6MVjctd0Ug68yPlHKR+Rl+n7wlKeMp3795dOz0KAN7y5nvKwgL5+2O2/FHB4SXLN6v5MDKxyDbDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:37:41.945828Z","bundle_sha256":"1d49f4167c29d069595570f1315b5d6521f3ac96f7e82fc2b915936bc3d18ca3"}}