{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OZMGOBENUJWCWZZZEZRRNW5Z26","short_pith_number":"pith:OZMGOBEN","canonical_record":{"source":{"id":"2410.10739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T17:20:30Z","cross_cats_sorted":[],"title_canon_sha256":"7a16741d7a3ae77420688b170f2beb81f2045ae4a55796eba866fdedd83baea7","abstract_canon_sha256":"a13f6833a41c84cbe920a33e424773fbf8ea1c2c149f4f65cfd9f612b9716b2a"},"schema_version":"1.0"},"canonical_sha256":"765867048da26c2b6739266316dbb9d7ad4c30bccb8e8ef75b3b10e0dbe605f0","source":{"kind":"arxiv","id":"2410.10739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10739","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10739v1","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10739","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"OZMGOBENUJWC","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"OZMGOBENUJWCWZZZ","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"OZMGOBEN","created_at":"2026-07-05T09:20:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OZMGOBENUJWCWZZZEZRRNW5Z26","target":"record","payload":{"canonical_record":{"source":{"id":"2410.10739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T17:20:30Z","cross_cats_sorted":[],"title_canon_sha256":"7a16741d7a3ae77420688b170f2beb81f2045ae4a55796eba866fdedd83baea7","abstract_canon_sha256":"a13f6833a41c84cbe920a33e424773fbf8ea1c2c149f4f65cfd9f612b9716b2a"},"schema_version":"1.0"},"canonical_sha256":"765867048da26c2b6739266316dbb9d7ad4c30bccb8e8ef75b3b10e0dbe605f0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:20:20.448803Z","signature_b64":"NsfFfkMTlhBfTRz1u2AlUwxMRDm840UNjUOZ7g+TeEXTmnyoly8rlh8VdpCTKZQNL0peibxSGK9d46j0kHeCAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"765867048da26c2b6739266316dbb9d7ad4c30bccb8e8ef75b3b10e0dbe605f0","last_reissued_at":"2026-07-05T09:20:20.448347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:20:20.448347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.10739","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":"2026-07-05T09:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O+O2deXpH2X7nCIznqpejpi+cRsxr7l95m488jY8WBb2iCyoO3QuANQqVyxoFC8R59180jz2tB9TwWg3810DDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:23:31.706227Z"},"content_sha256":"1e4c5dc1d160766d4fb4bdd61745b328819554f21ae6e74a76acb83b430802e0","schema_version":"1.0","event_id":"sha256:1e4c5dc1d160766d4fb4bdd61745b328819554f21ae6e74a76acb83b430802e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OZMGOBENUJWCWZZZEZRRNW5Z26","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chandana Badrinath, Ishan Jindal, Lakkidi Vinay, Pranjal Bharti, Sachin Dev Sharma","submitted_at":"2024-10-14T17:20:30Z","abstract_excerpt":"Large Language Models (LLMs) for public use require continuous pre-training to remain up-to-date with the latest data. The models also need to be fine-tuned with specific instructions to maintain their ability to follow instructions accurately. Typically, LLMs are released in two versions: the Base LLM, pre-trained on diverse data, and the instruction-refined LLM, additionally trained with specific instructions for better instruction following. The question arises as to which model should undergo continuous pre-training to maintain its instruction-following abilities while also staying current"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10739","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/2410.10739/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":"2026-07-05T09:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B9MVKIR4Yg9fDYLvHQtyzSMsi+Xj6aNiEpF0T4h01lCMsuqdN/1JJKO2r3OJWm8+FYrMqAPYp63IqOmqsEFDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:23:31.706574Z"},"content_sha256":"819eca9205cb8adbb71051680c576804d4ec17d2267e9dd62edf5170010d300d","schema_version":"1.0","event_id":"sha256:819eca9205cb8adbb71051680c576804d4ec17d2267e9dd62edf5170010d300d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/bundle.json","state_url":"https://pith.science/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/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":"2026-08-19T18:23:31Z","links":{"resolver":"https://pith.science/pith/OZMGOBENUJWCWZZZEZRRNW5Z26","bundle":"https://pith.science/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/bundle.json","state":"https://pith.science/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OZMGOBENUJWCWZZZEZRRNW5Z26/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OZMGOBENUJWCWZZZEZRRNW5Z26","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":"a13f6833a41c84cbe920a33e424773fbf8ea1c2c149f4f65cfd9f612b9716b2a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T17:20:30Z","title_canon_sha256":"7a16741d7a3ae77420688b170f2beb81f2045ae4a55796eba866fdedd83baea7"},"schema_version":"1.0","source":{"id":"2410.10739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10739","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10739v1","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10739","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"OZMGOBENUJWC","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"OZMGOBENUJWCWZZZ","created_at":"2026-07-05T09:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"OZMGOBEN","created_at":"2026-07-05T09:20:20Z"}],"graph_snapshots":[{"event_id":"sha256:819eca9205cb8adbb71051680c576804d4ec17d2267e9dd62edf5170010d300d","target":"graph","created_at":"2026-07-05T09:20:20Z","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/2410.10739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) for public use require continuous pre-training to remain up-to-date with the latest data. The models also need to be fine-tuned with specific instructions to maintain their ability to follow instructions accurately. Typically, LLMs are released in two versions: the Base LLM, pre-trained on diverse data, and the instruction-refined LLM, additionally trained with specific instructions for better instruction following. The question arises as to which model should undergo continuous pre-training to maintain its instruction-following abilities while also staying current","authors_text":"Chandana Badrinath, Ishan Jindal, Lakkidi Vinay, Pranjal Bharti, Sachin Dev Sharma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T17:20:30Z","title":"Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10739","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":"sha256:1e4c5dc1d160766d4fb4bdd61745b328819554f21ae6e74a76acb83b430802e0","target":"record","created_at":"2026-07-05T09:20:20Z","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":"a13f6833a41c84cbe920a33e424773fbf8ea1c2c149f4f65cfd9f612b9716b2a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T17:20:30Z","title_canon_sha256":"7a16741d7a3ae77420688b170f2beb81f2045ae4a55796eba866fdedd83baea7"},"schema_version":"1.0","source":{"id":"2410.10739","kind":"arxiv","version":1}},"canonical_sha256":"765867048da26c2b6739266316dbb9d7ad4c30bccb8e8ef75b3b10e0dbe605f0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"765867048da26c2b6739266316dbb9d7ad4c30bccb8e8ef75b3b10e0dbe605f0","first_computed_at":"2026-07-05T09:20:20.448347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:20:20.448347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NsfFfkMTlhBfTRz1u2AlUwxMRDm840UNjUOZ7g+TeEXTmnyoly8rlh8VdpCTKZQNL0peibxSGK9d46j0kHeCAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:20:20.448803Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e4c5dc1d160766d4fb4bdd61745b328819554f21ae6e74a76acb83b430802e0","sha256:819eca9205cb8adbb71051680c576804d4ec17d2267e9dd62edf5170010d300d"],"state_sha256":"becf71b8727ed3de935aaa6f19c5847b1e64d62aa5837785503108bec258c8a2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p0g07RFMG2u5PW1j4MnNy3jVmcvP1PzgbTZoByATbAzS56EuG8Hk9pag9zqfBsIhuOsZRDYAjPSl7FkPB6kIAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:23:31.710363Z","bundle_sha256":"655b70708e15a16604e262cd2c1248c9b7e04106de803053940a1c7c252efb4e"}}