{"as_of":"2026-08-09T02:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8be2e02fdbf09674b671d680dc48c568b136e7ffed879813339ab74d7e86efdf","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T18:32:57.044300Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-13T08:09:13.028557Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":"1910.11473","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Qasc: A dataset for question answering via sentence composition","venue":null,"work_id":"590ee526-ec80-495c-b11d-8efce3cf7c23","year":2020},"citing_paper":{"arxiv_id":"2211.09085","last_updated":"2022-11-16T18:06:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-11-16T18:06:33Z","title":"Galactica: A Large Language Model for Science","version":1},"reference_index":191,"source":"arxiv_source","source_observed_at":"2026-05-13T05:53:21.810346Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2211.09085"},"observation_digest":"sha256:bcc1cb077a2e18e02f9c32770ba3ff8840955d9e59b2c1110f867f99fee05c3c","observation_id":"70decb91-024e-4d4c-a158-48241d41897b","resolution":{"observed_at":"2026-05-13T05:53:22.196485Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":"1910.11473","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Qasc: A dataset for question answering via sentence composition","venue":null,"work_id":"590ee526-ec80-495c-b11d-8efce3cf7c23","year":2020},"citing_paper":{"arxiv_id":"2212.04089","last_updated":"2023-03-31T15:27:01Z","snapshot_observed_at":"2026-08-03T22:12:27.993418Z","submitted_at":"2022-12-08T05:50:53Z","title":"Editing Models with Task Arithmetic","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-13T08:09:12.716163Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2212.04089"},"observation_digest":"sha256:ac5007898193840093b9d7b94d52500fc6becc3d44e4f7fe1d0420ae2eae27a5","observation_id":"c8aeae3c-f8fa-4025-8297-3b0c39f53a36","resolution":{"observed_at":"2026-05-13T08:09:13.034368Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-07T18:32:57.044300Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.10339","last_updated":"2025-02-14T17:59:58Z","snapshot_observed_at":"2026-08-07T18:26:12.625845Z","submitted_at":"2025-02-14T17:59:58Z","title":"STAR: Spectral Truncation and Rescale for Model Merging","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T18:32:57.044300Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2502.10339"},"observation_digest":"sha256:0182cc0fdabf6ed0a70c5f51e1ddd800bd4a4f671befd85d8f572082c23184ae","observation_id":"58def7f9-752f-46aa-9a48-2adbe5eafe6e","resolution":{"observed_at":"2026-08-07T18:32:57.044300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-05T13:38:13.480040Z","title":"Qasc: A dataset for question answering via sentence composition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.00465","last_updated":"2025-08-30T11:42:26Z","snapshot_observed_at":"2026-08-06T18:22:49.738663Z","submitted_at":"2025-08-30T11:42:26Z","title":"Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning","version":1},"reference_index":206,"source":"pdf_text","source_observed_at":"2026-08-05T13:38:13.480040Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2509.00465"},"observation_digest":"sha256:4484da6768a47294514209f3ffc7420ed45db1c846064b3a2c3b152480f50a59","observation_id":"820c9bb4-7da4-4ab2-b0d1-8701fa3b5d64","resolution":{"observed_at":"2026-08-05T13:38:13.480040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-05T11:59:09.795065Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.02108","last_updated":"2025-09-12T06:41:56Z","snapshot_observed_at":"2026-08-09T02:34:48.168394Z","submitted_at":"2025-09-02T09:04:41Z","title":"DivMerge: A divergence-based model merging method for multi-tasking","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T11:59:09.795065Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2509.02108"},"observation_digest":"sha256:65cf1e20e544048ac1749a3de62ac5319e683a66a54029a171fbe1a161437fb9","observation_id":"e127b074-bf13-481f-af8b-ec335ebab6aa","resolution":{"observed_at":"2026-08-05T11:59:09.795065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-04T21:01:50.111539Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.08255","last_updated":"2025-09-10T03:20:56Z","snapshot_observed_at":"2026-08-07T23:55:40.448001Z","submitted_at":"2025-09-10T03:20:56Z","title":"Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T21:01:50.111539Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2509.08255"},"observation_digest":"sha256:3bec2e826b6ba43d164b7c2bd63af599b6e681eccf03337ea0a1114709de7f51","observation_id":"5fa49079-bb5b-42ed-b0bc-dc34bc065b6b","resolution":{"observed_at":"2026-08-04T21:01:50.111539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-02T23:56:45.953025Z","title":"org/CorpusID:266053836","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.12323","last_updated":"2026-07-08T02:28:44Z","snapshot_observed_at":"2026-08-07T11:55:49.583707Z","submitted_at":"2026-02-12T18:59:20Z","title":"The Appeal and Reality of Recycling LoRAs with Adaptive Merging","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T23:56:45.953025Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2602.12323"},"observation_digest":"sha256:d6d216e2ec67801e616f8c1c4e7176ee31e1aa92176a7443a4c13752f81c50e1","observation_id":"8e8a2391-ff5b-4b09-984e-09145c5fe35d","resolution":{"observed_at":"2026-08-02T23:56:45.953025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.11473","snapshot_observed_at":"2026-08-02T13:18:21.714747Z","title":"arXiv:1910.11473v2 , year =","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2607.21613","last_updated":"2026-05-25T03:54:43Z","snapshot_observed_at":"2026-08-05T19:56:10.288136Z","submitted_at":"2026-05-25T03:54:43Z","title":"The Hard Decision Layer: Evidence for Committed Inference in Transformers","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-02T13:18:21.714747Z"},"links":{"cited_paper":"/paper/1910.11473","citing_paper":"/paper/2607.21613"},"observation_digest":"sha256:6c577168c33f7249ab4ae697920fbbb97035636ca8a766b84b4fbfcc80066289","observation_id":"e93d6b5f-9c72-429d-b40b-b987ab49f30b","resolution":{"observed_at":"2026-08-02T13:18:21.714747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1910.11473/citation-record","integrity":"/paper/1910.11473/integrity","json":"/paper/1910.11473/citation-record.json","paper":"/paper/1910.11473"},"outbound":[],"paper":{"arxiv_id":"1910.11473","last_updated":"2020-02-04T23:43:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:44:37.422062Z","submitted_at":"2019-10-25T01:02:18Z","title":"QASC: A Dataset for Question Answering via Sentence Composition"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1910.11473."}