{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:XXHOID4LLTUZ663P4EYXBNEHZV","short_pith_number":"pith:XXHOID4L","canonical_record":{"source":{"id":"2212.09744","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:59:34Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"18710f5e35b50e8779a463e16b9bcfd7e6b4c2c85afec5d935a887aa2d074625","abstract_canon_sha256":"528a1110f277aaeaae6f6eb6251e4ced174a5070280a6189558e6053e8799c9b"},"schema_version":"1.0"},"canonical_sha256":"bdcee40f8b5ce99f7b6fe13170b487cd7c529076b98461f7b1e60d5d1f7ae007","source":{"kind":"arxiv","id":"2212.09744","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09744","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09744v3","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09744","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_12","alias_value":"XXHOID4LLTUZ","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_16","alias_value":"XXHOID4LLTUZ663P","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_8","alias_value":"XXHOID4L","created_at":"2026-07-05T07:21:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:XXHOID4LLTUZ663P4EYXBNEHZV","target":"record","payload":{"canonical_record":{"source":{"id":"2212.09744","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:59:34Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"title_canon_sha256":"18710f5e35b50e8779a463e16b9bcfd7e6b4c2c85afec5d935a887aa2d074625","abstract_canon_sha256":"528a1110f277aaeaae6f6eb6251e4ced174a5070280a6189558e6053e8799c9b"},"schema_version":"1.0"},"canonical_sha256":"bdcee40f8b5ce99f7b6fe13170b487cd7c529076b98461f7b1e60d5d1f7ae007","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:21:40.519262Z","signature_b64":"O6AeUZpeYtgOZ8OTXmO8U5ZNWlt8Vwapzd/xnVwytaL6Lf55dDSkzaEu9BFFhGlxWsmH3XtMWgtiz6h6NiYqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdcee40f8b5ce99f7b6fe13170b487cd7c529076b98461f7b1e60d5d1f7ae007","last_reissued_at":"2026-07-05T07:21:40.518801Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:21:40.518801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.09744","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:21:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XvLCtnW11YL4KHprnklwGtXSvZZ80NFTBTfLfynhX1kabeylfO2DtzTx2YPG+yg17FT9p6EI6+RSrfAtW+gSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:43:20.125921Z"},"content_sha256":"9be489af1ada90603607df1cfe337308c709c6f073e481f4c3050740f8481ee7","schema_version":"1.0","event_id":"sha256:9be489af1ada90603607df1cfe337308c709c6f073e481f4c3050740f8481ee7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:XXHOID4LLTUZ663P4EYXBNEHZV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DSI++: Updating Transformer Memory with New Documents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG"],"primary_cat":"cs.CL","authors_text":"Donald Metzler, Emma Strubell, Jai Gupta, Jinfeng Rao, Marc Najork, Mostafa Dehghani, Sanket Vaibhav Mehta, Vinh Q. Tran, Yi Tay","submitted_at":"2022-12-19T18:59:34Z","abstract_excerpt":"Differentiable Search Indices (DSIs) encode a corpus of documents in model parameters and use the same model to answer user queries directly. Despite the strong performance of DSI models, deploying them in situations where the corpus changes over time is computationally expensive because reindexing the corpus requires re-training the model. In this work, we introduce DSI++, a continual learning challenge for DSI to incrementally index new documents while being able to answer queries related to both previously and newly indexed documents. Across different model scales and document identifier re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09744","kind":"arxiv","version":3},"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/2212.09744/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":"2026-07-05T07:21:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HLgKJdNhOayPOgFgNrviwb3IewEm5mwUBc+KFgPCAHzgToOFXJAcWHfv9sied7yZKRO8AGnWzqio8+QRZgP6CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T09:43:20.126418Z"},"content_sha256":"d157ffa13c932563a7ef3d10657c338641f69f675a68dc633392a5fb436fb0c8","schema_version":"1.0","event_id":"sha256:d157ffa13c932563a7ef3d10657c338641f69f675a68dc633392a5fb436fb0c8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XXHOID4LLTUZ663P4EYXBNEHZV/bundle.json","state_url":"https://pith.science/pith/XXHOID4LLTUZ663P4EYXBNEHZV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XXHOID4LLTUZ663P4EYXBNEHZV/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":"2026-08-17T09:43:20Z","links":{"resolver":"https://pith.science/pith/XXHOID4LLTUZ663P4EYXBNEHZV","bundle":"https://pith.science/pith/XXHOID4LLTUZ663P4EYXBNEHZV/bundle.json","state":"https://pith.science/pith/XXHOID4LLTUZ663P4EYXBNEHZV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XXHOID4LLTUZ663P4EYXBNEHZV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:XXHOID4LLTUZ663P4EYXBNEHZV","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":"528a1110f277aaeaae6f6eb6251e4ced174a5070280a6189558e6053e8799c9b","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:59:34Z","title_canon_sha256":"18710f5e35b50e8779a463e16b9bcfd7e6b4c2c85afec5d935a887aa2d074625"},"schema_version":"1.0","source":{"id":"2212.09744","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.09744","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"arxiv_version","alias_value":"2212.09744v3","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.09744","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_12","alias_value":"XXHOID4LLTUZ","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_16","alias_value":"XXHOID4LLTUZ663P","created_at":"2026-07-05T07:21:40Z"},{"alias_kind":"pith_short_8","alias_value":"XXHOID4L","created_at":"2026-07-05T07:21:40Z"}],"graph_snapshots":[{"event_id":"sha256:d157ffa13c932563a7ef3d10657c338641f69f675a68dc633392a5fb436fb0c8","target":"graph","created_at":"2026-07-05T07:21:40Z","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/2212.09744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Differentiable Search Indices (DSIs) encode a corpus of documents in model parameters and use the same model to answer user queries directly. Despite the strong performance of DSI models, deploying them in situations where the corpus changes over time is computationally expensive because reindexing the corpus requires re-training the model. In this work, we introduce DSI++, a continual learning challenge for DSI to incrementally index new documents while being able to answer queries related to both previously and newly indexed documents. Across different model scales and document identifier re","authors_text":"Donald Metzler, Emma Strubell, Jai Gupta, Jinfeng Rao, Marc Najork, Mostafa Dehghani, Sanket Vaibhav Mehta, Vinh Q. Tran, Yi Tay","cross_cats":["cs.AI","cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:59:34Z","title":"DSI++: Updating Transformer Memory with New Documents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09744","kind":"arxiv","version":3},"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":"sha256:9be489af1ada90603607df1cfe337308c709c6f073e481f4c3050740f8481ee7","target":"record","created_at":"2026-07-05T07:21:40Z","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":"528a1110f277aaeaae6f6eb6251e4ced174a5070280a6189558e6053e8799c9b","cross_cats_sorted":["cs.AI","cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-19T18:59:34Z","title_canon_sha256":"18710f5e35b50e8779a463e16b9bcfd7e6b4c2c85afec5d935a887aa2d074625"},"schema_version":"1.0","source":{"id":"2212.09744","kind":"arxiv","version":3}},"canonical_sha256":"bdcee40f8b5ce99f7b6fe13170b487cd7c529076b98461f7b1e60d5d1f7ae007","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdcee40f8b5ce99f7b6fe13170b487cd7c529076b98461f7b1e60d5d1f7ae007","first_computed_at":"2026-07-05T07:21:40.518801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:40.518801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O6AeUZpeYtgOZ8OTXmO8U5ZNWlt8Vwapzd/xnVwytaL6Lf55dDSkzaEu9BFFhGlxWsmH3XtMWgtiz6h6NiYqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:40.519262Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.09744","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9be489af1ada90603607df1cfe337308c709c6f073e481f4c3050740f8481ee7","sha256:d157ffa13c932563a7ef3d10657c338641f69f675a68dc633392a5fb436fb0c8"],"state_sha256":"eba17a4a2aab2ee5d6ef07f0ba162b0f80e65e3fdfb6dbad7aec0105d3d92038"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"653g4KH10fHx0rJHATCLZ3xFAyTjIMqqdRectfG3A5y1dWQFKbn8unDVjZOWdGRNWng8XqVmZWSO/6JjH7G9Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T09:43:20.130175Z","bundle_sha256":"6309002b6d4e11254cfb54cfbd17a9f541004db9b6d620e82592919d673c1ff4"}}