{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7MZJZCEEYZH6FYX5XLANEBVAZD","short_pith_number":"pith:7MZJZCEE","canonical_record":{"source":{"id":"2409.00781","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-01T17:06:06Z","cross_cats_sorted":[],"title_canon_sha256":"fc7c71ada6ee35d5abc5d637a5b640d79de5363568ccb5d935cee73d47c3967c","abstract_canon_sha256":"d26b1bf5a9e8531eb0e2ca88e6f92cabd7d2f7a28ae0e1d7637b5a88ed952588"},"schema_version":"1.0"},"canonical_sha256":"fb329c8884c64fe2e2fdbac0d206a0c8ede1784c1b55544d4ce0d8ec621446c3","source":{"kind":"arxiv","id":"2409.00781","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00781","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00781v1","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00781","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_12","alias_value":"7MZJZCEEYZH6","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_16","alias_value":"7MZJZCEEYZH6FYX5","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_8","alias_value":"7MZJZCEE","created_at":"2026-07-05T09:01:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7MZJZCEEYZH6FYX5XLANEBVAZD","target":"record","payload":{"canonical_record":{"source":{"id":"2409.00781","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-01T17:06:06Z","cross_cats_sorted":[],"title_canon_sha256":"fc7c71ada6ee35d5abc5d637a5b640d79de5363568ccb5d935cee73d47c3967c","abstract_canon_sha256":"d26b1bf5a9e8531eb0e2ca88e6f92cabd7d2f7a28ae0e1d7637b5a88ed952588"},"schema_version":"1.0"},"canonical_sha256":"fb329c8884c64fe2e2fdbac0d206a0c8ede1784c1b55544d4ce0d8ec621446c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:53.345089Z","signature_b64":"uAGB33DBy1Lfey/tlShqkleGsc1DEpi/0l4DKBeQDH+6xszvk7usV8U3K3cm1KTKlGlcUGBtW8aCS2hkGKu7DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb329c8884c64fe2e2fdbac0d206a0c8ede1784c1b55544d4ce0d8ec621446c3","last_reissued_at":"2026-07-05T09:01:53.344659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:53.344659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.00781","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":"2026-07-05T09:01:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8iNk52ockYODXbYC8AtzUThNj2KcyU6JQTmq7AZpFMJpBixJjD2gpOEz+vsm9WbClJ860m6sjnfRE5C6MqMkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T13:56:45.671445Z"},"content_sha256":"0dd862ebc88bc35c563a2070aa53398969b0a20f67bbeb5baf151263a7b7054a","schema_version":"1.0","event_id":"sha256:0dd862ebc88bc35c563a2070aa53398969b0a20f67bbeb5baf151263a7b7054a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7MZJZCEEYZH6FYX5XLANEBVAZD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generating Media Background Checks for Automated Source Critical Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Michael Schlichtkrull","submitted_at":"2024-09-01T17:06:06Z","abstract_excerpt":"Not everything on the internet is true. This unfortunate fact requires both humans and models to perform complex reasoning about credibility when working with retrieved information. In NLP, this problem has seen little attention. Indeed, retrieval-augmented models are not typically expected to distrust retrieved documents. Human experts overcome the challenge by gathering signals about the context, reliability, and tendency of source documents - that is, they perform source criticism. We propose a novel NLP task focused on finding and summarising such signals. We introduce a new dataset of 6,7"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00781","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/2409.00781/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":"2026-07-05T09:01:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/w9T5zX0sEH+QAeifJNnHeGVdy8r0XFK64u8olqfk6r2TZS18y/wAvr8mb848aES0v+j7XBwHtTAlNLHHa4ZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T13:56:45.672130Z"},"content_sha256":"2d36357894be3c54bb6d1f8963febbad08c9670053ba9b1dc5a05b5287d34eaa","schema_version":"1.0","event_id":"sha256:2d36357894be3c54bb6d1f8963febbad08c9670053ba9b1dc5a05b5287d34eaa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/bundle.json","state_url":"https://pith.science/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/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":"2026-08-17T13:56:45Z","links":{"resolver":"https://pith.science/pith/7MZJZCEEYZH6FYX5XLANEBVAZD","bundle":"https://pith.science/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/bundle.json","state":"https://pith.science/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7MZJZCEEYZH6FYX5XLANEBVAZD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7MZJZCEEYZH6FYX5XLANEBVAZD","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":"d26b1bf5a9e8531eb0e2ca88e6f92cabd7d2f7a28ae0e1d7637b5a88ed952588","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-01T17:06:06Z","title_canon_sha256":"fc7c71ada6ee35d5abc5d637a5b640d79de5363568ccb5d935cee73d47c3967c"},"schema_version":"1.0","source":{"id":"2409.00781","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00781","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00781v1","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00781","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_12","alias_value":"7MZJZCEEYZH6","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_16","alias_value":"7MZJZCEEYZH6FYX5","created_at":"2026-07-05T09:01:53Z"},{"alias_kind":"pith_short_8","alias_value":"7MZJZCEE","created_at":"2026-07-05T09:01:53Z"}],"graph_snapshots":[{"event_id":"sha256:2d36357894be3c54bb6d1f8963febbad08c9670053ba9b1dc5a05b5287d34eaa","target":"graph","created_at":"2026-07-05T09:01:53Z","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/2409.00781/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Not everything on the internet is true. This unfortunate fact requires both humans and models to perform complex reasoning about credibility when working with retrieved information. In NLP, this problem has seen little attention. Indeed, retrieval-augmented models are not typically expected to distrust retrieved documents. Human experts overcome the challenge by gathering signals about the context, reliability, and tendency of source documents - that is, they perform source criticism. We propose a novel NLP task focused on finding and summarising such signals. We introduce a new dataset of 6,7","authors_text":"Michael Schlichtkrull","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-01T17:06:06Z","title":"Generating Media Background Checks for Automated Source Critical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00781","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":"sha256:0dd862ebc88bc35c563a2070aa53398969b0a20f67bbeb5baf151263a7b7054a","target":"record","created_at":"2026-07-05T09:01:53Z","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":"d26b1bf5a9e8531eb0e2ca88e6f92cabd7d2f7a28ae0e1d7637b5a88ed952588","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-09-01T17:06:06Z","title_canon_sha256":"fc7c71ada6ee35d5abc5d637a5b640d79de5363568ccb5d935cee73d47c3967c"},"schema_version":"1.0","source":{"id":"2409.00781","kind":"arxiv","version":1}},"canonical_sha256":"fb329c8884c64fe2e2fdbac0d206a0c8ede1784c1b55544d4ce0d8ec621446c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb329c8884c64fe2e2fdbac0d206a0c8ede1784c1b55544d4ce0d8ec621446c3","first_computed_at":"2026-07-05T09:01:53.344659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:53.344659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uAGB33DBy1Lfey/tlShqkleGsc1DEpi/0l4DKBeQDH+6xszvk7usV8U3K3cm1KTKlGlcUGBtW8aCS2hkGKu7DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:53.345089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00781","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dd862ebc88bc35c563a2070aa53398969b0a20f67bbeb5baf151263a7b7054a","sha256:2d36357894be3c54bb6d1f8963febbad08c9670053ba9b1dc5a05b5287d34eaa"],"state_sha256":"dc794f3b11ddc063a84335bd6ae63989a746d834357f0589606d9bde84dd9826"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S6sBiFS+fO400/vCq3oBrZb2m833vxZHmMd1ZkASZZLluiVvKl6jBXElgu3NTy1YgOwmSjMwYFfBPyTSpbtcCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T13:56:45.686022Z","bundle_sha256":"a622a19accc566d27b5a71261a7d4b0553dd252978fc40fed87a2672f538c60b"}}