{"as_of":"2026-08-08T03:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fc547bcfdad31bf604501cd4d02e9e51a9aca7345dcdc8917cd05a76f6189d3d","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T13:07:18.377992Z","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":"2026-06-28T17:22:24.607341Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-08-05T13:07:18.377992Z","title":"Tripcraft: A benchmark for spatio-temporally fine grained travel planning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.06980","last_updated":"2025-08-31T16:47:31Z","snapshot_observed_at":"2026-08-05T13:07:14.010109Z","submitted_at":"2025-08-31T16:47:31Z","title":"RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:07:18.377992Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2509.06980"},"observation_digest":"sha256:60d5f0b40860032778028ed1d5676deac223ed32353e6ec9cc8bc6277edd6a3b","observation_id":"8f37fafe-1ae4-47f6-9956-5a28792d3deb","resolution":{"observed_at":"2026-08-05T13:07:18.377992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-08-03T10:21:44.713100Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.10609","last_updated":"2026-07-14T05:59:00Z","snapshot_observed_at":"2026-08-04T21:20:49.164446Z","submitted_at":"2026-01-15T17:24:51Z","title":"iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T10:21:44.713100Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2601.10609"},"observation_digest":"sha256:621842e65f0a55233f128e64df2d099a3573b91732090e53abff4146ff0ceecf","observation_id":"b9fe42cb-dcfd-4544-b983-d9818c8b3c4b","resolution":{"observed_at":"2026-08-03T10:21:44.713100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-08-02T20:41:08.191074Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.22638","last_updated":"2026-06-10T08:57:04Z","snapshot_observed_at":"2026-08-02T20:41:07.202173Z","submitted_at":"2026-02-26T05:39:38Z","title":"MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T20:41:08.191074Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2602.22638"},"observation_digest":"sha256:20fc3df7d6b561aa6e27870676a4b1e6fa3bfab013a5fdba2ec9ed98106d923a","observation_id":"e138443c-ad29-4569-ad1a-a28de6dc139c","resolution":{"observed_at":"2026-08-02T20:41:08.191074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":"2502.20508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-06-28T17:22:24.607341Z","title":"Tripcraft: A benchmark for spatio-temporally fine grained travel planning.arXiv preprint arXiv:2502.20508","venue":null,"work_id":"8b57c81f-0d75-462d-a670-6b24ddf9af5b","year":2025},"citing_paper":{"arxiv_id":"2605.00276","last_updated":"2026-04-30T22:29:56Z","snapshot_observed_at":"2026-07-06T23:13:42.661364Z","submitted_at":"2026-04-30T22:29:56Z","title":"Agentic AI for Trip Planning Optimization Application","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T19:45:44.908058Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2605.00276"},"observation_digest":"sha256:90247059704eab2f98057b90385903d3ca869809772455bb0de90f1881853338","observation_id":"40f66d27-a7ea-4e85-927f-1c688cba72d1","resolution":{"observed_at":"2026-05-11T15:31:19.991274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":"2502.20508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-06-28T17:22:24.607341Z","title":"Tripcraft: A benchmark for spatio-temporally fine grained travel planning.arXiv preprint arXiv:2502.20508","venue":null,"work_id":"8b57c81f-0d75-462d-a670-6b24ddf9af5b","year":2025},"citing_paper":{"arxiv_id":"2605.03308","last_updated":"2026-05-05T02:56:25Z","snapshot_observed_at":"2026-07-29T20:35:21.357849Z","submitted_at":"2026-05-05T02:56:25Z","title":"Revisiting the Travel Planning Capabilities of Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-07T16:52:54.690422Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2605.03308"},"observation_digest":"sha256:242d0e53e8de3917cbd4e03441e2a58b57a48c32ef7ad0c2e30be1a3b5adeffb","observation_id":"ff339623-41b7-46c9-bd2d-09a903cdd34e","resolution":{"observed_at":"2026-05-12T10:46:31.029713Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":"2502.20508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-06-28T17:22:24.607341Z","title":"Tripcraft: A benchmark for spatio-temporally fine grained travel planning.arXiv preprint arXiv:2502.20508","venue":null,"work_id":"8b57c81f-0d75-462d-a670-6b24ddf9af5b","year":2025},"citing_paper":{"arxiv_id":"2605.10440","last_updated":"2026-05-11T12:11:30Z","snapshot_observed_at":"2026-07-06T23:22:23.287792Z","submitted_at":"2026-05-11T12:11:30Z","title":"TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agents","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T04:58:03.708461Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2605.10440"},"observation_digest":"sha256:86db9d861cc7c4dbfeb09a96926d6e18412e4b0a7fbb022197a6b1f95898e96d","observation_id":"a5896f48-6329-448e-b2fb-4be022b34780","resolution":{"observed_at":"2026-05-12T05:46:29.218074Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":"2502.20508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-06-28T17:22:24.607341Z","title":"Tripcraft: A benchmark for spatio-temporally fine grained travel planning.arXiv preprint arXiv:2502.20508","venue":null,"work_id":"8b57c81f-0d75-462d-a670-6b24ddf9af5b","year":2025},"citing_paper":{"arxiv_id":"2606.01046","last_updated":"2026-05-31T06:29:19Z","snapshot_observed_at":"2026-08-03T20:10:20.090765Z","submitted_at":"2026-05-31T06:29:19Z","title":"TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T17:20:29.096427Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2606.01046"},"observation_digest":"sha256:cf448fcb0cb6df367aceb7eb49cfc391eadebe6cc622b9da8e8f00740f85a3f1","observation_id":"1de54c3d-d1de-4bda-8afd-c3ea0f097f84","resolution":{"observed_at":"2026-06-28T17:22:24.608791Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.20508","snapshot_observed_at":"2026-07-30T15:14:05.326019Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26977","last_updated":"2026-07-29T14:35:29Z","snapshot_observed_at":"2026-08-06T03:59:45.914522Z","submitted_at":"2026-07-29T14:35:29Z","title":"TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-30T15:14:05.326019Z"},"links":{"cited_paper":"/paper/2502.20508","citing_paper":"/paper/2607.26977"},"observation_digest":"sha256:692c391691077f7f496c000327d4153a7ed7972946e44a25044696a07b1be735","observation_id":"a35672cb-12b4-4f0c-8042-806771f1ee00","resolution":{"observed_at":"2026-07-30T15:14:05.326019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.20508/citation-record","integrity":"/paper/2502.20508/integrity","json":"/paper/2502.20508/citation-record.json","paper":"/paper/2502.20508"},"outbound":[],"paper":{"arxiv_id":"2502.20508","last_updated":"2025-02-27T20:33:28Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T17:41:39.354491Z","submitted_at":"2025-02-27T20:33:28Z","title":"TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.20508."}