{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OQZP7MLEXOUKJJLTX52AJ6YC4K","short_pith_number":"pith:OQZP7MLE","canonical_record":{"source":{"id":"2506.11440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T03:38:29Z","cross_cats_sorted":[],"title_canon_sha256":"198de4067ead7eb36d48e7b5fe3a6a602d0aea57e3a4fd423347470f9e471725","abstract_canon_sha256":"00219fb9fd545d9dfffe100f2929bf9d4bdacb739b3ce43a248bb721670f2257"},"schema_version":"1.0"},"canonical_sha256":"7432ffb164bba8a4a573bf7404fb02e2bea3b13a0961a2e4192a766615b56699","source":{"kind":"arxiv","id":"2506.11440","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11440","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11440v1","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11440","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_12","alias_value":"OQZP7MLEXOUK","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_16","alias_value":"OQZP7MLEXOUKJJLT","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_8","alias_value":"OQZP7MLE","created_at":"2026-07-05T11:21:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OQZP7MLEXOUKJJLTX52AJ6YC4K","target":"record","payload":{"canonical_record":{"source":{"id":"2506.11440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T03:38:29Z","cross_cats_sorted":[],"title_canon_sha256":"198de4067ead7eb36d48e7b5fe3a6a602d0aea57e3a4fd423347470f9e471725","abstract_canon_sha256":"00219fb9fd545d9dfffe100f2929bf9d4bdacb739b3ce43a248bb721670f2257"},"schema_version":"1.0"},"canonical_sha256":"7432ffb164bba8a4a573bf7404fb02e2bea3b13a0961a2e4192a766615b56699","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:04.546062Z","signature_b64":"0f5HD4ZDXCPFHe3BRctZ4oWDkH/y5eLKDItbpwicry8Te5Ga1u4TOhu1wUpckZEbwZ3mtxTLjOSdz7eRRYvUAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7432ffb164bba8a4a573bf7404fb02e2bea3b13a0961a2e4192a766615b56699","last_reissued_at":"2026-07-05T11:21:04.545557Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:04.545557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.11440","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":"2026-07-05T11:21:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8IIiE8A9Bv6+Pe/qpEYKDTZStPpNs5NgS9fIfl0XZgiLIHMSdBzxSOvLpRhRfEzANeosFJpePpVUNNK9USdBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:11.190468Z"},"content_sha256":"551bfb4f654e4ee176434fa2701887cbf73d6ed70e57ae50aef39bbe37bdf826","schema_version":"1.0","event_id":"sha256:551bfb4f654e4ee176434fa2701887cbf73d6ed70e57ae50aef39bbe37bdf826"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OQZP7MLEXOUKJJLTX52AJ6YC4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AbsenceBench: Language Models Can't Tell What's Missing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Ari Holtzman, Aryan Shrivastava, Chenhao Tan, Harvey Yiyun Fu, Jared Moore, Peter West","submitted_at":"2025-06-13T03:38:29Z","abstract_excerpt":"Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a Haystack (NIAH) test. However, while models excel at recalling surprising information, they still struggle to identify clearly omitted information. We introduce AbsenceBench to assesses LLMs' capacity to detect missing information across three domains: numerical sequences, poetry, and GitHub pull requests. AbsenceBench asks models to identify which pieces of a document were deliberately removed, given access to both "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11440","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/2506.11440/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":"2026-07-05T11:21:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tdt9Xal2RxfgpwEAEqTGS9eAGla6T4VEOQNW1WKcoejjzAAvrGTs/T8BHkJ1NKs/fb58Aw8WjkLdmGAN/LnLDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:32:11.191064Z"},"content_sha256":"8e3f6f488233f8f9812cc066304465b06db1e965bddc93029de680cd627aeb25","schema_version":"1.0","event_id":"sha256:8e3f6f488233f8f9812cc066304465b06db1e965bddc93029de680cd627aeb25"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/bundle.json","state_url":"https://pith.science/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/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":"2026-08-08T08:32:11Z","links":{"resolver":"https://pith.science/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K","bundle":"https://pith.science/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/bundle.json","state":"https://pith.science/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OQZP7MLEXOUKJJLTX52AJ6YC4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OQZP7MLEXOUKJJLTX52AJ6YC4K","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":"00219fb9fd545d9dfffe100f2929bf9d4bdacb739b3ce43a248bb721670f2257","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T03:38:29Z","title_canon_sha256":"198de4067ead7eb36d48e7b5fe3a6a602d0aea57e3a4fd423347470f9e471725"},"schema_version":"1.0","source":{"id":"2506.11440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11440","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11440v1","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11440","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_12","alias_value":"OQZP7MLEXOUK","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_16","alias_value":"OQZP7MLEXOUKJJLT","created_at":"2026-07-05T11:21:04Z"},{"alias_kind":"pith_short_8","alias_value":"OQZP7MLE","created_at":"2026-07-05T11:21:04Z"}],"graph_snapshots":[{"event_id":"sha256:8e3f6f488233f8f9812cc066304465b06db1e965bddc93029de680cd627aeb25","target":"graph","created_at":"2026-07-05T11:21:04Z","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/2506.11440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly capable of processing long inputs and locating specific information within them, as evidenced by their performance on the Needle in a Haystack (NIAH) test. However, while models excel at recalling surprising information, they still struggle to identify clearly omitted information. We introduce AbsenceBench to assesses LLMs' capacity to detect missing information across three domains: numerical sequences, poetry, and GitHub pull requests. AbsenceBench asks models to identify which pieces of a document were deliberately removed, given access to both ","authors_text":"Ari Holtzman, Aryan Shrivastava, Chenhao Tan, Harvey Yiyun Fu, Jared Moore, Peter West","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T03:38:29Z","title":"AbsenceBench: Language Models Can't Tell What's Missing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11440","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":"sha256:551bfb4f654e4ee176434fa2701887cbf73d6ed70e57ae50aef39bbe37bdf826","target":"record","created_at":"2026-07-05T11:21:04Z","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":"00219fb9fd545d9dfffe100f2929bf9d4bdacb739b3ce43a248bb721670f2257","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-06-13T03:38:29Z","title_canon_sha256":"198de4067ead7eb36d48e7b5fe3a6a602d0aea57e3a4fd423347470f9e471725"},"schema_version":"1.0","source":{"id":"2506.11440","kind":"arxiv","version":1}},"canonical_sha256":"7432ffb164bba8a4a573bf7404fb02e2bea3b13a0961a2e4192a766615b56699","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7432ffb164bba8a4a573bf7404fb02e2bea3b13a0961a2e4192a766615b56699","first_computed_at":"2026-07-05T11:21:04.545557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:04.545557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0f5HD4ZDXCPFHe3BRctZ4oWDkH/y5eLKDItbpwicry8Te5Ga1u4TOhu1wUpckZEbwZ3mtxTLjOSdz7eRRYvUAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:04.546062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:551bfb4f654e4ee176434fa2701887cbf73d6ed70e57ae50aef39bbe37bdf826","sha256:8e3f6f488233f8f9812cc066304465b06db1e965bddc93029de680cd627aeb25"],"state_sha256":"324f5a334f2ae17d1e6e298edc3f146bb830fd879263c15013da361da3baafd4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ltWRSM//3+E6uYVqwqEk36sxduPsYnPCPqjqXN878GoulplMsXWlG8Kua8SOiexeCb0T1syutpButxWQNxwTCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:32:11.195491Z","bundle_sha256":"1bd5f5c8f25c440a723298759b56f58b08984e2afe06c8893bd1ef890ffdc3d6"}}