{"as_of":"2026-08-08T06:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f03cf53ad183ffaee410170e0198882e164a4dc4ed5bbf1617d46af308ab251","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:53:29.979294Z","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":"2026-05-21T11:24:08.440788Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-08-06T18:53:29.979294Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07030","last_updated":"2025-07-09T17:02:40Z","snapshot_observed_at":"2026-08-07T22:03:14.617539Z","submitted_at":"2025-07-09T17:02:40Z","title":"UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T18:53:29.979294Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2507.07030"},"observation_digest":"sha256:6ba3317cdaf5836470f2e2af709bf9b58d5984b28e0ea38ebb033db73d5a5ff2","observation_id":"249ef4b0-11a7-4e78-9787-9f6d96a56fab","resolution":{"observed_at":"2026-08-06T18:53:29.979294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-08-06T11:09:04.781541Z","title":"Conv-coa: Improving open-domain question answering in large language models via conversational chain-of-action","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23067","last_updated":"2025-09-06T03:03:04Z","snapshot_observed_at":"2026-08-06T21:10:43.960852Z","submitted_at":"2025-07-30T19:57:22Z","title":"FairReason: Balancing Reasoning and Social Bias in MLLMs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:09:04.781541Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2507.23067"},"observation_digest":"sha256:0209440606810d7f3db41dd1243632e007530a5d35f2b4c01b857d95087342c1","observation_id":"92c9a00e-a579-4354-a0a7-145138c403cc","resolution":{"observed_at":"2026-08-06T11:09:04.781541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-08-06T04:17:10.574459Z","title":"Conv-coa: Improving open-domain question answering in large language models via conversational chain-of-action","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03864","last_updated":"2025-09-06T00:06:39Z","snapshot_observed_at":"2026-08-06T04:16:29.928705Z","submitted_at":"2025-08-05T19:26:55Z","title":"Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T04:17:10.574459Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2508.03864"},"observation_digest":"sha256:b8ec0a6b5171f8c0cdca99a9f94b0bfaada1ba69968686530904c6827c12d686","observation_id":"7d953f70-da50-44d8-913c-25ea686208ab","resolution":{"observed_at":"2026-08-06T04:17:10.574459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-08-05T05:11:22.496787Z","title":"https://arxiv.org/abs/2405.17822","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05716","last_updated":"2025-09-06T13:38:03Z","snapshot_observed_at":"2026-08-05T05:11:17.569761Z","submitted_at":"2025-09-06T13:38:03Z","title":"A Survey of the State-of-the-Art in Conversational Question Answering Systems","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T05:11:22.496787Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2509.05716"},"observation_digest":"sha256:d32eb339378651f0950580297c5b587b81b3ec0323d3b2496eea04a6f65deeb5","observation_id":"760925ef-0f4e-49cf-b9c2-1c7883b7cc31","resolution":{"observed_at":"2026-08-05T05:11:22.496787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":"2405.17822","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Conv-coa: Improving open-domain ques- tion answering in large language models via conversational chain-of-action.arXiv preprint arXiv:2405.17822","venue":null,"work_id":"aeb0b3e0-bb26-4d39-97d8-723ab3d3ba78","year":null},"citing_paper":{"arxiv_id":"2603.17305","last_updated":"2026-05-19T16:22:05Z","snapshot_observed_at":"2026-07-06T22:49:28.866886Z","submitted_at":"2026-03-18T03:00:42Z","title":"Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-21T11:23:26.852673Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2603.17305"},"observation_digest":"sha256:f7d1d80944144874f5f828d05a3075fa279e29e46d8a049560402a3c567dc680","observation_id":"3df9b2a9-ce92-4559-ab0e-bcdd9c86ab64","resolution":{"observed_at":"2026-05-21T11:24:08.442687Z","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":"2405.17822","last_updated":"2024-05-28T04:46:52Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17822","snapshot_observed_at":"2026-07-14T04:23:21.000846Z","title":"arXiv preprint arXiv:2405.17822 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.11614","last_updated":"2026-07-13T14:37:24Z","snapshot_observed_at":"2026-08-07T12:33:44.646398Z","submitted_at":"2026-07-13T14:37:24Z","title":"Extending LLM Context via Associative Recurrent Memory","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-07-14T04:23:21.000846Z"},"links":{"cited_paper":"/paper/2405.17822","citing_paper":"/paper/2607.11614"},"observation_digest":"sha256:256045e6002214c7eb4d883f55fa4e33e729bf9bde42883036b062b75c9a96a5","observation_id":"e85e88f7-de5a-4ee5-be83-9e1b68d520e2","resolution":{"observed_at":"2026-07-14T04:23:21.000846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17822/citation-record","integrity":"/paper/2405.17822/integrity","json":"/paper/2405.17822/citation-record.json","paper":"/paper/2405.17822"},"outbound":[],"paper":{"arxiv_id":"2405.17822","last_updated":"2024-05-28T04:46:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T04:46:52Z","title":"Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action"},"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 6 inbound Pith citation observations for arXiv:2405.17822."}