{"as_of":"2026-08-21T14:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c83da861233206ceafc731f774537d6402e477f897ae780a13433777dbc010f","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":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":13,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:41:46.185636Z","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":"2026-07-04T16:29:57.446888Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-10T18:41:46.185636Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11124","last_updated":"2025-04-30T03:42:25Z","snapshot_observed_at":"2026-08-16T03:48:45.127682Z","submitted_at":"2025-01-19T17:31:40Z","title":"Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T18:41:46.185636Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2501.11124"},"observation_digest":"sha256:0f14114fa868363267719427dc291565001e11114923e9a93fcf5b2322dcf9b5","observation_id":"7c83ef48-7249-4236-a916-7e4cd6ae1362","resolution":{"observed_at":"2026-08-10T18:41:46.185636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T15:42:21.230838Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14068","last_updated":"2025-06-05T12:31:11Z","snapshot_observed_at":"2026-08-17T22:01:35.941354Z","submitted_at":"2025-05-20T08:16:37Z","title":"Place Recognition Meet Multiple Modalitie: A Comprehensive Review, Current Challenges and Future Directions","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:21.230838Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2505.14068"},"observation_digest":"sha256:06d8824c38151c80ff327d296d57493594c40dda03993db2e691a84244ce9a5d","observation_id":"795e4a3f-6735-48d2-8a02-3b8d42b1223f","resolution":{"observed_at":"2026-08-07T15:42:21.230838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T14:37:41.768835Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18364","last_updated":"2025-08-08T01:18:25Z","snapshot_observed_at":"2026-08-19T09:43:01.410249Z","submitted_at":"2025-05-23T20:47:46Z","title":"ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:41.768835Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2505.18364"},"observation_digest":"sha256:4df4be04544ce2080aa59d0502605dc251411e643c2f897860af21e91873e01c","observation_id":"c4c2517f-a1d0-48c8-b2e8-cdf0a355043c","resolution":{"observed_at":"2026-08-07T14:37:41.768835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T00:56:08.713463Z","title":"arXiv preprint arXiv:2402.14505 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12401","last_updated":"2025-06-14T08:32:55Z","snapshot_observed_at":"2026-08-18T12:57:06.357471Z","submitted_at":"2025-06-14T08:32:55Z","title":"Feature Complementation Architecture for Visual Place Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:08.713463Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2506.12401"},"observation_digest":"sha256:92edae657742859f56616e59367c905f06efa763a027826338705a92e78e6644","observation_id":"6360eb23-d16f-4019-ac1b-2544a9afd5f1","resolution":{"observed_at":"2026-08-07T00:56:08.713463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T00:42:48.798998Z","title":"Towards seamless adapta- tion of pre-trained models for visual place recognition.arXiv preprint arXiv:2402.14505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13073","last_updated":"2025-06-16T03:40:49Z","snapshot_observed_at":"2026-08-18T03:42:01.593766Z","submitted_at":"2025-06-16T03:40:49Z","title":"SuperPlace: The Renaissance of Classical Feature Aggregation for Visual Place Recognition in the Era of Foundation Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T00:42:48.798998Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2506.13073"},"observation_digest":"sha256:75dea3ef0ea3109c5b13ac276f7f3e0403f44317a9d9243e4c2191786d5355d0","observation_id":"c0dc21c4-2409-47b6-8669-b56c27ecda59","resolution":{"observed_at":"2026-08-07T00:42:48.798998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-07T00:40:42.424333Z","title":"Towards seamless adapta- tion of pre-trained models for visual place recognition.arXiv preprint arXiv:2402.14505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13133","last_updated":"2025-06-16T06:40:12Z","snapshot_observed_at":"2026-08-08T15:22:18.413695Z","submitted_at":"2025-06-16T06:40:12Z","title":"EmbodiedPlace: Learning Mixture-of-Features with Embodied Constraints for Visual Place Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:42.424333Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2506.13133"},"observation_digest":"sha256:676fe871945cae8030018f6b52c8c919eb39cd1a045e9dc61e6d022ab857d538","observation_id":"4efbd6dd-a108-496a-8fed-aaf85c298fed","resolution":{"observed_at":"2026-08-07T00:40:42.424333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-06T21:16:46.304742Z","title":"Towards seamless adapta- tion of pre-trained models for visual place recognition.arXiv preprint arXiv:2402.14505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-18T09:27:53.850228Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.304742Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:ba265666a365c2480685cd557ab7d3baf2cc7c3503ce45fc43f04c31d68a485f","observation_id":"c518d93a-2e89-46da-bc9d-fc59cc1869bf","resolution":{"observed_at":"2026-08-06T21:16:46.304742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-06T15:31:25.077512Z","title":", author Zhang, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15683","last_updated":"2025-07-21T14:47:56Z","snapshot_observed_at":"2026-08-18T09:51:44.820835Z","submitted_at":"2025-07-21T14:47:56Z","title":"Hi^2-GSLoc: Dual-Hierarchical Gaussian-Specific Visual Relocalization for Remote Sensing","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T15:31:25.077512Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2507.15683"},"observation_digest":"sha256:66f4d05a597097f23d20b34b40ec22d064e91d59b58fd33477b6fe5714cb1df1","observation_id":"afccaae4-9feb-4545-a6c4-a87255fd012d","resolution":{"observed_at":"2026-08-06T15:31:25.077512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":"2402.14505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-07-04T16:29:57.446888Z","title":"Towards seamless adaptation of pre-trained models for visual place recognition","venue":null,"work_id":"2b9da936-cba9-42e6-8e26-e0a14df890c7","year":2024},"citing_paper":{"arxiv_id":"2602.00841","last_updated":"2026-05-15T06:47:00Z","snapshot_observed_at":"2026-08-16T08:57:03.107201Z","submitted_at":"2026-01-31T18:12:29Z","title":"Beyond First-Order: Learning Riemannian Geometries for Invariant Visual Place Recognition","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T13:36:37.083800Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2602.00841"},"observation_digest":"sha256:84953cd50c53f05b980a1684fb35cb445ffa7048582af319df53d16c2bfd1b0a","observation_id":"f50e26a9-9110-494d-9fc2-68adb85c445d","resolution":{"observed_at":"2026-05-21T13:40:12.504912Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":"2402.14505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-07-04T16:29:57.446888Z","title":"Towards seamless adaptation of pre-trained models for visual place recognition","venue":null,"work_id":"2b9da936-cba9-42e6-8e26-e0a14df890c7","year":2024},"citing_paper":{"arxiv_id":"2605.20551","last_updated":"2026-05-19T23:01:57Z","snapshot_observed_at":"2026-08-16T14:14:18.843187Z","submitted_at":"2026-05-19T23:01:57Z","title":"Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-21T06:25:55.388361Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2605.20551"},"observation_digest":"sha256:78690737dcb5c5f2f703da0afaebc1bf4a13d49214a13b01c133da190decd2d3","observation_id":"cdf39b29-1f34-4f83-b281-f618bb2a1048","resolution":{"observed_at":"2026-05-21T06:29:42.183255Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":"2402.14505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-07-04T16:29:57.446888Z","title":"Towards seamless adaptation of pre-trained models for visual place recognition","venue":null,"work_id":"2b9da936-cba9-42e6-8e26-e0a14df890c7","year":2024},"citing_paper":{"arxiv_id":"2606.01892","last_updated":"2026-06-01T08:36:13Z","snapshot_observed_at":"2026-08-12T02:33:47.758717Z","submitted_at":"2026-06-01T08:36:13Z","title":"Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-28T14:58:10.771338Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2606.01892"},"observation_digest":"sha256:657edce2240a5c9fca96933198e08938d778a846f35514a583c8b57f180aac1e","observation_id":"0e1d48ab-f3f7-47f8-8ec1-cb6879e2c609","resolution":{"observed_at":"2026-07-01T22:56:19.445962Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":"2402.14505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-07-04T16:29:57.446888Z","title":"Towards seamless adaptation of pre-trained models for visual place recognition","venue":null,"work_id":"2b9da936-cba9-42e6-8e26-e0a14df890c7","year":2024},"citing_paper":{"arxiv_id":"2606.24234","last_updated":"2026-07-07T08:54:08Z","snapshot_observed_at":"2026-08-14T00:30:20.779909Z","submitted_at":"2026-06-23T07:22:54Z","title":"From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T00:35:38.735712Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2606.24234"},"observation_digest":"sha256:f340371c7338c7d56cbffbf187c1f533e78eec7d909d8b493d439bda59f57e18","observation_id":"ec625559-edbd-4f07-8487-babdef456709","resolution":{"observed_at":"2026-07-04T16:29:57.448388Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-07-12T12:35:16.147653Z","title":"Towards seamless adaptation of pre-trained models for visual place recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.24234","last_updated":"2026-07-07T08:54:08Z","snapshot_observed_at":"2026-08-14T00:30:20.779909Z","submitted_at":"2026-06-23T07:22:54Z","title":"From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-12T12:35:16.147653Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2606.24234"},"observation_digest":"sha256:9325d611ef18e3ca527d61d41a9d7389d5ba115c8ec5dac42720243ae6e92fc4","observation_id":"62a2f579-7319-4b3e-b2ac-d19e8fc668fd","resolution":{"observed_at":"2026-07-12T12:35:16.147653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.14505/citation-record","integrity":"/paper/2402.14505/integrity","json":"/paper/2402.14505/citation-record.json","paper":"/paper/2402.14505"},"outbound":[],"paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:16:16.262474Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2402.14505."}