{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:DV55BN67YBRFA73EN7XR2D5NCX","short_pith_number":"pith:DV55BN67","canonical_record":{"source":{"id":"1105.4224","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-05-21T07:37:47Z","cross_cats_sorted":["cs.LO"],"title_canon_sha256":"2843cfd5ed906e53cf2098d38496bb48c32af0d30e56cfca9426e1ad9e833a8e","abstract_canon_sha256":"1d3083593baf04d941f47bc74667636e9c34bdd129d148e56ac0e2edd85fdf68"},"schema_version":"1.0"},"canonical_sha256":"1d7bd0b7dfc062507f646fef1d0fad15f90d1c4c53caa36b1b6263e62cd044f0","source":{"kind":"arxiv","id":"1105.4224","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1105.4224","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"arxiv_version","alias_value":"1105.4224v1","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1105.4224","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"pith_short_12","alias_value":"DV55BN67YBRF","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"DV55BN67YBRFA73E","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"DV55BN67","created_at":"2026-05-18T12:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:DV55BN67YBRFA73EN7XR2D5NCX","target":"record","payload":{"canonical_record":{"source":{"id":"1105.4224","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-05-21T07:37:47Z","cross_cats_sorted":["cs.LO"],"title_canon_sha256":"2843cfd5ed906e53cf2098d38496bb48c32af0d30e56cfca9426e1ad9e833a8e","abstract_canon_sha256":"1d3083593baf04d941f47bc74667636e9c34bdd129d148e56ac0e2edd85fdf68"},"schema_version":"1.0"},"canonical_sha256":"1d7bd0b7dfc062507f646fef1d0fad15f90d1c4c53caa36b1b6263e62cd044f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:21:29.569406Z","signature_b64":"c3K/MRGBCY8LY1MR2SB0R58gjW5IB9wjDJgj878twtINau4C588Lh7+mJRsBmoBym83vyXTp/4uNR1a3DP4ZAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d7bd0b7dfc062507f646fef1d0fad15f90d1c4c53caa36b1b6263e62cd044f0","last_reissued_at":"2026-05-18T04:21:29.569046Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:21:29.569046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1105.4224","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":"2026-05-18T04:21:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q5XDbcRtMQpvidKT5PbIfl6thRFQ2GRJErUlHrLZqAdC1cKfO/RGzDRFVsMZ62PEdqqzxb0bHZ7bUrbPEzxTCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T21:00:08.100734Z"},"content_sha256":"29d7e562804dc7508eab73a4d9b98c78d8a040b134e5707baabab2f04db337d7","schema_version":"1.0","event_id":"sha256:29d7e562804dc7508eab73a4d9b98c78d8a040b134e5707baabab2f04db337d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:DV55BN67YBRFA73EN7XR2D5NCX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On A Semi-Automatic Method for Generating Composition Tables","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LO"],"primary_cat":"cs.AI","authors_text":"Sanjiang Li, Weiming Liu","submitted_at":"2011-05-21T07:37:47Z","abstract_excerpt":"Originating from Allen's Interval Algebra, composition-based reasoning has been widely acknowledged as the most popular reasoning technique in qualitative spatial and temporal reasoning. Given a qualitative calculus (i.e. a relation model), the first thing we should do is to establish its composition table (CT). In the past three decades, such work is usually done manually. This is undesirable and error-prone, given that the calculus may contain tens or hundreds of basic relations. Computing the correct CT has been identified by Tony Cohn as a challenge for computer scientists in 1995. This pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1105.4224","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":""},"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":"2026-05-18T04:21:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6GV7kmPowpGsVJh7bjIspxaw0aZLYtJJrpIm08Xzu2mMnmyeFNeXFWjeqP4ApjDFx8nEsinwFwMFlCmMd5b0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T21:00:08.101244Z"},"content_sha256":"a167f818c770d3add2ce7ffc42cdd8d0b29ba0a71731b6a808c9ccd4ce0a4b56","schema_version":"1.0","event_id":"sha256:a167f818c770d3add2ce7ffc42cdd8d0b29ba0a71731b6a808c9ccd4ce0a4b56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DV55BN67YBRFA73EN7XR2D5NCX/bundle.json","state_url":"https://pith.science/pith/DV55BN67YBRFA73EN7XR2D5NCX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DV55BN67YBRFA73EN7XR2D5NCX/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":"2026-06-02T21:00:08Z","links":{"resolver":"https://pith.science/pith/DV55BN67YBRFA73EN7XR2D5NCX","bundle":"https://pith.science/pith/DV55BN67YBRFA73EN7XR2D5NCX/bundle.json","state":"https://pith.science/pith/DV55BN67YBRFA73EN7XR2D5NCX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DV55BN67YBRFA73EN7XR2D5NCX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:DV55BN67YBRFA73EN7XR2D5NCX","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":"1d3083593baf04d941f47bc74667636e9c34bdd129d148e56ac0e2edd85fdf68","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-05-21T07:37:47Z","title_canon_sha256":"2843cfd5ed906e53cf2098d38496bb48c32af0d30e56cfca9426e1ad9e833a8e"},"schema_version":"1.0","source":{"id":"1105.4224","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1105.4224","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"arxiv_version","alias_value":"1105.4224v1","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1105.4224","created_at":"2026-05-18T04:21:29Z"},{"alias_kind":"pith_short_12","alias_value":"DV55BN67YBRF","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"DV55BN67YBRFA73E","created_at":"2026-05-18T12:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"DV55BN67","created_at":"2026-05-18T12:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:a167f818c770d3add2ce7ffc42cdd8d0b29ba0a71731b6a808c9ccd4ce0a4b56","target":"graph","created_at":"2026-05-18T04:21:29Z","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"},"paper":{"abstract_excerpt":"Originating from Allen's Interval Algebra, composition-based reasoning has been widely acknowledged as the most popular reasoning technique in qualitative spatial and temporal reasoning. Given a qualitative calculus (i.e. a relation model), the first thing we should do is to establish its composition table (CT). In the past three decades, such work is usually done manually. This is undesirable and error-prone, given that the calculus may contain tens or hundreds of basic relations. Computing the correct CT has been identified by Tony Cohn as a challenge for computer scientists in 1995. This pa","authors_text":"Sanjiang Li, Weiming Liu","cross_cats":["cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-05-21T07:37:47Z","title":"On A Semi-Automatic Method for Generating Composition Tables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1105.4224","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":"sha256:29d7e562804dc7508eab73a4d9b98c78d8a040b134e5707baabab2f04db337d7","target":"record","created_at":"2026-05-18T04:21:29Z","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":"1d3083593baf04d941f47bc74667636e9c34bdd129d148e56ac0e2edd85fdf68","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-05-21T07:37:47Z","title_canon_sha256":"2843cfd5ed906e53cf2098d38496bb48c32af0d30e56cfca9426e1ad9e833a8e"},"schema_version":"1.0","source":{"id":"1105.4224","kind":"arxiv","version":1}},"canonical_sha256":"1d7bd0b7dfc062507f646fef1d0fad15f90d1c4c53caa36b1b6263e62cd044f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d7bd0b7dfc062507f646fef1d0fad15f90d1c4c53caa36b1b6263e62cd044f0","first_computed_at":"2026-05-18T04:21:29.569046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:21:29.569046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c3K/MRGBCY8LY1MR2SB0R58gjW5IB9wjDJgj878twtINau4C588Lh7+mJRsBmoBym83vyXTp/4uNR1a3DP4ZAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:21:29.569406Z","signed_message":"canonical_sha256_bytes"},"source_id":"1105.4224","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29d7e562804dc7508eab73a4d9b98c78d8a040b134e5707baabab2f04db337d7","sha256:a167f818c770d3add2ce7ffc42cdd8d0b29ba0a71731b6a808c9ccd4ce0a4b56"],"state_sha256":"2c3b43b3bf86f9729a46670f05340267a1f2b05374b67b3bfe1b77df6de524eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lJyLfvrrXYoe+LxKYE8P6hp8plJYgbcT2ICAWLx3zq6upM3iEC6susjHTLS4AGmrXU0qt4gVJXdack2AGKI5Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T21:00:08.103996Z","bundle_sha256":"9848b7a646b241ee39c649ee05b0aaadcdf2036419587a14f3d3bc80b93a95db"}}