{"as_of":"2026-08-08T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2884dcefc112e07af70689d2e3301ad43efca384229f2e8329f47392b602373","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:02:21.006903Z","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":"2026-07-04T09:59:44.696863Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-08-07T14:02:21.006903Z","title":"I think, therefore i am: Awareness in large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20120","last_updated":"2025-05-26T15:22:04Z","snapshot_observed_at":"2026-08-08T12:31:53.572379Z","submitted_at":"2025-05-26T15:22:04Z","title":"Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:21.006903Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2505.20120"},"observation_digest":"sha256:5dbd7e6d64f99e9929809aa5d5489ebc84dca87ca37e5dbd169168498d0b09c3","observation_id":"1814f7a2-bf6f-418c-8c18-2b90ea161c3e","resolution":{"observed_at":"2026-08-07T14:02:21.006903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-08-07T10:28:20.658807Z","title":"I think, therefore i am: Awareness in large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05109","last_updated":"2025-06-05T14:53:35Z","snapshot_observed_at":"2026-08-08T02:17:06.461305Z","submitted_at":"2025-06-05T14:53:35Z","title":"Truly Self-Improving Agents Require Intrinsic Metacognitive Learning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T10:28:20.658807Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2506.05109"},"observation_digest":"sha256:4a8a016ba958df3c2fb97840b61333eb34a5261d76e2b744165918f192a0a5e0","observation_id":"ba3a48cd-c8d5-4c2c-a5b6-45fde16add6b","resolution":{"observed_at":"2026-08-07T10:28:20.658807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-08-07T00:39:42.144625Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12958","last_updated":"2025-06-20T15:52:06Z","snapshot_observed_at":"2026-08-07T07:24:20.034880Z","submitted_at":"2025-06-15T20:42:45Z","title":"Domain Specific Benchmarks for Evaluating Multimodal Large Language Models","version":2},"reference_index":135,"source":"pdf_text","source_observed_at":"2026-08-07T00:39:42.144625Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2506.12958"},"observation_digest":"sha256:1a63930f3f6fb34f5b58da0cf44c61bbc2181f9f9909ffd2e09715bbee7951eb","observation_id":"aefbd018-7f2d-4e21-a74b-e26d9195f1b9","resolution":{"observed_at":"2026-08-07T00:39:42.144625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-08-06T23:49:26.402742Z","title":"I think, therefore i am: Benchmarking awareness of large language models using awarebench,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16064","last_updated":"2025-06-19T06:42:35Z","snapshot_observed_at":"2026-08-08T11:18:17.446928Z","submitted_at":"2025-06-19T06:42:35Z","title":"Self-Critique-Guided Curiosity Refinement: Enhancing Honesty and Helpfulness in Large Language Models via In-Context Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.402742Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2506.16064"},"observation_digest":"sha256:f586aabb32c670fd56ee94f504eceb2235f33b851c451c39d244adaaa93f2d87","observation_id":"de5a92b4-f639-4ba0-8086-4247c877ddae","resolution":{"observed_at":"2026-08-06T23:49:26.402742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":"2401.17882","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-07-04T09:59:44.696863Z","title":"arXiv preprint arXiv:2401.17882 (2024)","venue":null,"work_id":"70c6ccd9-6658-4d25-ae20-68add076e9a9","year":2024},"citing_paper":{"arxiv_id":"2603.03332","last_updated":"2026-04-16T23:41:41Z","snapshot_observed_at":"2026-08-04T02:21:24.392691Z","submitted_at":"2026-02-11T03:11:30Z","title":"Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T03:43:18.987241Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2603.03332"},"observation_digest":"sha256:ae94a5e7d80efe4e70bda441c4a260f5856e1f4b92f36bae87fb54d1c729be61","observation_id":"377ba697-8220-4d83-9192-a9e18d34e16b","resolution":{"observed_at":"2026-05-16T03:47:15.235544Z","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":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":"2401.17882","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-07-04T09:59:44.696863Z","title":"arXiv preprint arXiv:2401.17882 (2024)","venue":null,"work_id":"70c6ccd9-6658-4d25-ae20-68add076e9a9","year":2024},"citing_paper":{"arxiv_id":"2605.08942","last_updated":"2026-05-09T13:22:47Z","snapshot_observed_at":"2026-07-06T23:21:06.773761Z","submitted_at":"2026-05-09T13:22:47Z","title":"Decomposing and Steering Functional Metacognition in Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T02:57:09.180530Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2605.08942"},"observation_digest":"sha256:4604d23f10a747bf908071c189ff950fe85a48fc56a497f1553db7e351d7e5d9","observation_id":"ff15f7ff-a51a-4606-bede-b8d8d59d12db","resolution":{"observed_at":"2026-05-12T03:01:18.858226Z","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":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":"2401.17882","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-07-04T09:59:44.696863Z","title":"arXiv preprint arXiv:2401.17882 (2024)","venue":null,"work_id":"70c6ccd9-6658-4d25-ae20-68add076e9a9","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":2},"reference_index":221,"source":"arxiv_source","source_observed_at":"2026-06-26T09:19:50.623741Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:5ecde25930f78dd91a650e0a1f511e40569d755aafbb8d07c43d5d6734a3d5fb","observation_id":"8126cef3-c67f-4fa3-88b7-87763c0f24d5","resolution":{"observed_at":"2026-07-04T09:59:44.698346Z","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":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":"2401.17882","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-07-04T09:59:44.696863Z","title":"arXiv preprint arXiv:2401.17882 (2024)","venue":null,"work_id":"70c6ccd9-6658-4d25-ae20-68add076e9a9","year":2024},"citing_paper":{"arxiv_id":"2606.22873","last_updated":"2026-06-25T18:44:01Z","snapshot_observed_at":"2026-08-02T23:29:21.699637Z","submitted_at":"2026-06-22T05:37:43Z","title":"SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning","version":3},"reference_index":220,"source":"arxiv_source","source_observed_at":"2026-06-29T01:18:19.195007Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2606.22873"},"observation_digest":"sha256:8e7bdff6f73b6152b2ad3ec76fdf07afa4687cef3c74d0da15935353d3a0d5e6","observation_id":"3bd8a84f-0db7-46c7-809d-eab5890ff217","resolution":{"observed_at":"2026-07-01T18:55:59.621463Z","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":"2401.17882","last_updated":"2024-02-16T09:47:38Z","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17882","snapshot_observed_at":"2026-08-03T00:55:26.876886Z","title":"arXiv preprint arXiv:2401.17882 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28636","last_updated":"2026-05-19T13:56:13Z","snapshot_observed_at":"2026-08-06T00:38:04.006327Z","submitted_at":"2026-05-19T13:56:13Z","title":"Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-03T00:55:26.876886Z"},"links":{"cited_paper":"/paper/2401.17882","citing_paper":"/paper/2607.28636"},"observation_digest":"sha256:52cab2d2b124f2e07d7bbcf0987e505af7e365a9c5004b99f8c24feb7b175c6b","observation_id":"2703bcca-d960-490c-a58b-06d803421d62","resolution":{"observed_at":"2026-08-03T00:55:26.876886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.17882/citation-record","integrity":"/paper/2401.17882/integrity","json":"/paper/2401.17882/citation-record.json","paper":"/paper/2401.17882"},"outbound":[],"paper":{"arxiv_id":"2401.17882","last_updated":"2024-02-16T09:47:38Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:23:05.927644Z","submitted_at":"2024-01-31T14:41:23Z","title":"I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.17882."}