{"as_of":"2026-08-10T09:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9363c61a8f59ddec51742330bf28eb280231db48625c7d4327537af81d69b42","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:51:09.400051Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.15898/citation-record","integrity":"/paper/2506.15898/integrity","json":"/paper/2506.15898/citation-record.json","paper":"/paper/2506.15898"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.896606Z","title":"Subtrajectory clustering: Models and algorithms,","venue":null,"work_id":"d6f01a06-b314-4ba8-8e24-4ae5480b4415","year":2018},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.204292Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:963cd49d17e7bc17131738136755c0714e4d9d6e967196345ec428f4c5caf476","observation_id":"7102632c-8b1c-4cdb-9bcb-7cfc86c71cf0","resolution":{"observed_at":"2026-08-06T23:51:09.901295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.885592Z","title":"Fast large-scale trajectory clustering,","venue":null,"work_id":"7bb19767-a4ba-41a0-ac8d-34ca48477fc7","year":2019},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.209256Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:9b913d6748de84ce03ef29b64fd9cd18df9b0bf2b1491b7cced6496c75fbf6bd","observation_id":"e2463ec3-d1e3-42f1-b436-bedfb2528efb","resolution":{"observed_at":"2026-08-06T23:51:09.889265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.874615Z","title":"Clustering and aggregating clues of trajectories for mining trajectory patterns and routes,","venue":null,"work_id":"392efa48-fd21-4977-b09c-713728a23a5c","year":2015},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.214029Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:5785b5e0a6d2821b4fc42be06aeeae3be944e0baae4040274cf79af1f6ac7821","observation_id":"2959a41a-528b-4a7f-beb4-e6abfbf06c60","resolution":{"observed_at":"2026-08-06T23:51:09.878989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.863416Z","title":"A survey of trajectory distance measures and performance evaluation,","venue":null,"work_id":"d449ec7b-af85-463e-acbe-8886de488ab9","year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.217793Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:3d7a5054708dcf32d3f7c01a39b61458b3eb7fa7958afdf6b295a71a7e9973b4","observation_id":"b2cee927-cbb4-4076-bc13-c46bec4bd025","resolution":{"observed_at":"2026-08-06T23:51:09.867158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.852866Z","title":"When will you arrive? estimating travel time based on deep neural networks,","venue":null,"work_id":"7c13537f-1649-483d-b350-f7ee1a88fcaf","year":2018},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.222666Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:b8cbdde47fcf816cdf50fe3084402baadda08e9349876bff14c38cd781d36aac","observation_id":"d1ef78cd-a41a-48d0-b4f4-6b890a7db4e3","resolution":{"observed_at":"2026-08-06T23:51:09.856525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.842090Z","title":"Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories,","venue":null,"work_id":"dc2ed7ef-0283-45f6-b949-a5ed709e76d0","year":2015},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.226652Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:fad857ff279249bf0c70962be852d8ff98356ba49f1d4e5fb27e2aa18e2610cc","observation_id":"996679e9-d950-45d7-9fd7-546b8b07867b","resolution":{"observed_at":"2026-08-06T23:51:09.846383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.830868Z","title":"Discovering regions of different functions in a city using human mobility and pois,","venue":null,"work_id":"d700b09b-3f44-4c93-b22a-c95f4ea5a8eb","year":2012},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.230728Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:3240c6bcb88fbfdf6bc91dcdb28de512064fff68647e6996411bfc91a909fe1b","observation_id":"9f9f2505-031d-49ef-bda8-e6eb7fec3c53","resolution":{"observed_at":"2026-08-06T23:51:09.834590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.819989Z","title":"Epimob: Interactive visual analytics of citywide human mobility re- strictions for epidemic control,","venue":null,"work_id":"d68d07d3-8531-4393-9a2f-ccfb6a33d574","year":2022},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.234937Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:f34a05a92d87e4a17ff2a35970e2ebfd86f8c0d93fee067a13c26006d07b57c2","observation_id":"58276b4a-ace6-47e1-9251-0f92ac050ef1","resolution":{"observed_at":"2026-08-06T23:51:09.823652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.810206Z","title":"Trajectory clustering via deep representation learning,","venue":null,"work_id":"dc4c046f-17b9-4549-b669-db9e87b7490c","year":2017},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.238851Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:7f4f08fe3fa7737873da4b8046d9a39996b672000bce186034592047620c12da","observation_id":"59bd6572-b0c1-4476-a75f-3f7061f1038a","resolution":{"observed_at":"2026-08-06T23:51:09.813708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.799216Z","title":"Learning deep representation for trajectory clustering,","venue":null,"work_id":"ea3d5f2c-914d-4b95-b786-1ad14a3ad833","year":2018},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.242475Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:2941ea10aa44c5a8407cb75f823bf6360e043f9185858543c15018415885f614","observation_id":"28424b85-227e-4880-87e1-7651739d5e1c","resolution":{"observed_at":"2026-08-06T23:51:09.802858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.786896Z","title":"A survey on trajectory data management, analytics, and learning,","venue":null,"work_id":"bddcfe5e-8ec9-4c44-a462-ad3e07845311","year":2021},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.245938Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:afd8cca7d096bcb431220f37a24498496e2070b2e0d8d7ea84a3614fa61abe12","observation_id":"bed6c243-f157-4cef-a914-28d6013fae0f","resolution":{"observed_at":"2026-08-06T23:51:09.791834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.775182Z","title":"Tmn: trajectory matching networks for predicting similarity,","venue":null,"work_id":"4c0c83ea-6ff4-444d-8dc4-45fdfaa1839c","year":2022},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.250025Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:945dfa6312812d8d148b3d1bf1ddebf35b969ad2b051a8f00a8cdb10d0d62dd3","observation_id":"14c23122-cc7c-4880-8d65-94dcf0fdd8cb","resolution":{"observed_at":"2026-08-06T23:51:09.779403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.764465Z","title":"Trajectory outlier detection: Algorithms, taxonomies, evaluation, and open challenges,","venue":null,"work_id":"6f40360c-e91d-4529-bbb8-b0cc0e6643b7","year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.254223Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:e2792f130ac39429d611404ea343194cdd62778ed6d830d79b1d7f4a9a0c1ffe","observation_id":"656808ed-53e2-42e5-902b-a6a46aaaa6d3","resolution":{"observed_at":"2026-08-06T23:51:09.768484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.753295Z","title":"An overview on trajectory outlier detection,","venue":null,"work_id":"f8716eb6-ad3e-41f2-9787-459274496ac9","year":2019},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.258385Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:3aa55c56065506561e8678e8bbd91a442841138fd152a8f7cfbf8e47858df968","observation_id":"ce056857-469d-4136-a3c4-27cc8bd991b3","resolution":{"observed_at":"2026-08-06T23:51:09.757182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.741483Z","title":"Contrastive trajectory similarity learning with dual-feature attention,","venue":null,"work_id":"20d49aab-efe4-48c5-86c7-6698937d27c3","year":2023},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.262294Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:4ff7a000fd5f42e24ba10cfbe29fcccdc44b2dcd1c967e7f6902edc8c980f115","observation_id":"e5da4164-ebfe-435e-b6bf-c6c962332af5","resolution":{"observed_at":"2026-08-06T23:51:09.745619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.269471Z","title":"Computing discrete fr ´echet distance,","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.269471Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:26f8edf8e3501de146257b2f04ebbd7ca7c2e6b9c101799d7f7918582c853c1b","observation_id":"ac4eb40d-715c-4a84-8184-7a9a41d7d853","resolution":{"observed_at":"2026-08-06T23:51:09.269471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.272599Z","title":"A comparative analysis of trajectory similarity measures,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.272599Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:adf28cb34623b88c9be07acf2ca5a5dbb0c405f8ff6a7424179f36f62a71e1e4","observation_id":"9efbd699-b687-40a1-b4ee-ca418d9a295a","resolution":{"observed_at":"2026-08-06T23:51:09.272599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.705716Z","title":"A survey of traffic prediction: from spatio-temporal data to intelligent transportation,","venue":null,"work_id":"6c92988a-4845-4617-b76c-3b63f47eb8b3","year":2021},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.276487Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:4347cb579e0ea4ed94e5594dc39c2a5052754e4765554e70fd538f427d679c55","observation_id":"9a491a0c-4bce-4938-9309-4bf5f3aad23e","resolution":{"observed_at":"2026-08-06T23:51:09.710562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.694017Z","title":"Kgts: contrastive trajectory similarity learning over prompt knowledge graph embedding,","venue":null,"work_id":"80d09eab-e811-4b79-9dd9-0168ecd04b5c","year":2024},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.280605Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:e4aa55e56174647c911ed38f41142f9f6ef9c123b23ba41d93caecbce633ec63","observation_id":"7c5eac30-3c96-4ff7-a9bb-3f0e7233b9ce","resolution":{"observed_at":"2026-08-06T23:51:09.697875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.682858Z","title":"Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,","venue":null,"work_id":"952516c1-d4a7-4d08-ab19-ca6bc07fa4f7","year":2022},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.284983Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:fff9e5fb25d1ac32a47cf6485dff3478ec604e04efc94d8b5756466d04ddd001","observation_id":"74d855a6-3249-4a7e-99db-81e54092bed0","resolution":{"observed_at":"2026-08-06T23:51:09.686978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.288789Z","title":"node2vec: Scalable feature learning for networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.288789Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:eac14276a9ea2b90c838e10637a00fa6bbfea0d4036c3c182dafcecfd8c637b6","observation_id":"7ffa9d2c-63f9-40e9-a258-0cc7aad7ffac","resolution":{"observed_at":"2026-08-06T23:51:09.288789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.665021Z","title":"An overview of quadtrees, octrees, and related hierarchical data structures,","venue":null,"work_id":"af00ab8e-6d36-42fd-b84f-0f1c97b9f1ce","year":1988},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.292792Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:dbcae93d052bf77e6cf7f5e65069cb756fd4cd6dfe21d6eeb3ab74f4347bcca2","observation_id":"64c1286c-8578-47cf-9713-d62ca40f55b6","resolution":{"observed_at":"2026-08-06T23:51:09.669546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10197","last_updated":"2019-02-26T20:15:09Z","snapshot_observed_at":"2026-08-06T13:43:56.202740Z","submitted_at":"2019-02-26T20:15:09Z","title":"RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10197","snapshot_observed_at":"2026-08-06T23:51:09.296657Z","title":"Rotate: Knowledge graph embedding by relational rotation in complex space,","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.296657Z"},"links":{"cited_paper":"/paper/1902.10197","citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:b4e43e44a0fc68c271e17a22afd74e6d94c9b41a5ab8e385d85256b9bcd470f8","observation_id":"fb51fbbe-254b-4c9e-aa03-4313adc8b8ce","resolution":{"observed_at":"2026-08-06T23:51:09.296657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.730862Z","title":"Grlstm: trajectory similarity computation with graph-based residual lstm,","venue":null,"work_id":"891d4491-eb24-432a-9027-d5e958a2a683","year":2023},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.300679Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:d8e70607c4e454a2fd32a5d5bbf253afff41453f710d849537ddbfbb1cf7b483","observation_id":"24812562-bfaf-4d97-97fa-a96b750d3ec6","resolution":{"observed_at":"2026-08-06T23:51:09.734594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.304695Z","title":"Knowledge graph embedding by translating on hyperplanes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.304695Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:4a2861a89ffa998c70fab06784d369091a49c3fa5748ddd3815bf312f3dd2bc4","observation_id":"7d8aac36-0913-4f39-bdfe-929e895685db","resolution":{"observed_at":"2026-08-06T23:51:09.304695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.646697Z","title":"T3s: Effective representation learning for trajectory similarity computation,","venue":null,"work_id":"044f2e76-140d-43e6-b4af-4f56145700c4","year":2021},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.308449Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:b88f528a65724e8017017f8362a65763117ef3b8dd40fe6cd9e5ec99104f80ee","observation_id":"06357215-fb2a-4e58-90f8-605a0e07408f","resolution":{"observed_at":"2026-08-06T23:51:09.651594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.311824Z","title":"Long short-term memory,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.311824Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:32a01bf134537f0faa67abdc226f97b06ad42fd940a2143e1fc51a1e80f6aa82","observation_id":"5794fa77-5ecb-40ef-b2d6-7fc995a529ed","resolution":{"observed_at":"2026-08-06T23:51:09.311824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.315510Z","title":"Learning repre- sentations by back-propagating errors,","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.315510Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:278222765023697b2a4dec97e2da4894a80d7961033c8555a8400b4f84fccd2f","observation_id":"c7db6125-fd66-41c9-a91b-4091e0382de4","resolution":{"observed_at":"2026-08-06T23:51:09.315510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.624341Z","title":"Trajectory similarity learning with auxiliary supervision and optimal matching,","venue":null,"work_id":"b962da0e-2db0-4749-8c57-086ee9cdc0bf","year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.319165Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:d9379bf633ea4dacd792be3dcadd60abffe4d4fbab8a2d63ab0aaea031d9d76b","observation_id":"a7f6c54b-0fdf-43f3-9b73-f8ce1494869f","resolution":{"observed_at":"2026-08-06T23:51:09.627769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.612779Z","title":"Hypergraph hash learning for efficient trajectory similarity computation,","venue":null,"work_id":"f1be1b41-0fc6-4578-9c05-d9925e0db9f9","year":2024},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.323352Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:a39d35305b65512696459f1104bd26910391a47c1da7e604b77bb8bdbce7034d","observation_id":"ed61870a-9593-4fca-bf9e-ac3996cba166","resolution":{"observed_at":"2026-08-06T23:51:09.617543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.327693Z","title":"Hypergraph neural net- works,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.327693Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:63ced52396c30d974f986e8da4c06e8f4d017099beade0136d685d4aba61af82","observation_id":"c18c57d2-16ba-4fed-af36-0e8cfdda5272","resolution":{"observed_at":"2026-08-06T23:51:09.327693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.331757Z","title":"Bootstrap your own latent-a new approach to self-supervised learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.331757Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:ae113494bf080315d1d3cd339940cf8bcb5c8be7c0b60cd242c9c6cb76cdd2e5","observation_id":"324be790-4390-4e20-95ff-061ef5868ec9","resolution":{"observed_at":"2026-08-06T23:51:09.331757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.335561Z","title":"Pixel recurrent neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.335561Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:d3cb2ec7d4cf2145f1106914b7f700539cdf12a9dcff9756665a38b96a574cce","observation_id":"81ddd34e-5225-471a-a518-c924121d44b2","resolution":{"observed_at":"2026-08-06T23:51:09.335561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.582959Z","title":"Deep representation learning for trajectory similarity computation,","venue":null,"work_id":"e12375bd-99e3-4430-b75d-8ea2b13c5392","year":2018},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.339337Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:b2f01b3b7907604aee8daff62ea79f358800f55029b402b602e8e9fb95e8d224","observation_id":"61d43761-8a04-4bb3-ad4a-14f8baee2b3d","resolution":{"observed_at":"2026-08-06T23:51:09.587071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.3215","last_updated":"2014-12-14T20:59:51Z","snapshot_observed_at":"2026-08-02T03:58:50.109606Z","submitted_at":"2014-09-10T19:55:35Z","title":"Sequence to Sequence Learning with Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.3215","snapshot_observed_at":"2026-08-06T23:51:09.343600Z","title":"Sequence to sequence learning with neural networks,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.343600Z"},"links":{"cited_paper":"/paper/1409.3215","citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:3179c527844508a5c3f3b64a8dac3674766eaa18f16c13729d9cc704853e3e50","observation_id":"68061126-cbd4-4328-bacd-4365a58e0c2e","resolution":{"observed_at":"2026-08-06T23:51:09.343600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1406.1078","last_updated":"2014-09-03T00:25:02Z","snapshot_observed_at":"2026-07-06T03:45:28.546418Z","submitted_at":"2014-06-03T17:47:08Z","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.1078","snapshot_observed_at":"2026-08-06T23:51:09.348530Z","title":"Learning phrase representations using rnn encoder-decoder for statistical machine translation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.348530Z"},"links":{"cited_paper":"/paper/1406.1078","citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:3d78fa970893592a9277be1e3a55a3902a19188a5233b6a3f3435f3c6e56a1b4","observation_id":"fcadf686-cfde-4b78-8cd3-d0cc1ce703c4","resolution":{"observed_at":"2026-08-06T23:51:09.348530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.571641Z","title":"Efficient trajec- tory similarity computation with contrastive learning,","venue":null,"work_id":"72891bea-5e65-44bc-af52-ba23484c4398","year":2022},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.353420Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:a124c06887e40948aa7e03ca84261220b57ba128299c73df3bbd134d8a89e44b","observation_id":"e74e98fd-f49d-46cc-ae26-ed21d1518481","resolution":{"observed_at":"2026-08-06T23:51:09.576058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.357254Z","title":"A simple framework for contrastive learning of visual representations,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.357254Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:2f16d31f4ad44138dc4c333d8f850844bd791cfd6450b946d18dba0318e47f6b","observation_id":"dc555beb-502e-42e3-8b83-379bd50b67ad","resolution":{"observed_at":"2026-08-06T23:51:09.357254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.361229Z","title":"Momentum contrast for unsupervised visual representation learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.361229Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:c3e90e6164550246715a1f79938d4ab68de9609354dd65edfff0b254241d2775","observation_id":"8a8963ea-bd78-46b9-ab39-49ce24c47509","resolution":{"observed_at":"2026-08-06T23:51:09.361229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.364891Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.364891Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:f105c4a0127e372e6c15f390144cb2f2bf60c8dad3d16e5fed88e75a2850a2ba","observation_id":"aed1ecf2-6160-41e1-90b9-7ec1db64370b","resolution":{"observed_at":"2026-08-06T23:51:09.364891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.540298Z","title":"Score-based generative modeling through stochastic differential equations,","venue":null,"work_id":"7470a007-a41b-4a89-8265-d5cdc0b658f4","year":2021},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.368389Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:ca26fb1793c0393126fee74b296a0e7504b03dd7f3b63e80e6a4ef1e241b07b4","observation_id":"a2ff2a1f-b457-4bb2-b6f5-585f670914f9","resolution":{"observed_at":"2026-08-06T23:51:09.545037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.529422Z","title":null,"venue":null,"work_id":"d01fd0e7-fbc8-4bf2-bee2-5b2aa536003e","year":1984},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.371834Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:a41a693fb1a00ab34195608fdbb62d514e36f3b7e5a9c983642b9d0b8e904b62","observation_id":"c1097086-83d4-459e-8162-3bc5548fa2fd","resolution":{"observed_at":"2026-08-06T23:51:09.532965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.518948Z","title":null,"venue":null,"work_id":"17f229e1-391d-46b6-a86f-b8934a68877c","year":2000},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.375572Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:9e90f20fb932cea06966f762623fe05052cb7d10cc63b1b1310266651aec69db","observation_id":"5470888a-9746-4a6a-9138-d90fa28f121c","resolution":{"observed_at":"2026-08-06T23:51:09.522693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.508045Z","title":"Elucidating the design space of diffusion-based generative models,","venue":null,"work_id":"67126b5e-98e9-40fc-9801-4deea73def73","year":2022},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.379621Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:2c9f3d9b200722336d52d5ed6be2517a3ce2b0581f4dfd06c23910d18c2299e8","observation_id":"8c1d6ec9-989c-44fd-94c5-eea33ced4c8c","resolution":{"observed_at":"2026-08-06T23:51:09.511816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16948","last_updated":"2023-12-05T08:01:39Z","snapshot_observed_at":"2026-08-10T05:40:44.792363Z","submitted_at":"2023-09-29T03:24:24Z","title":"Denoising Diffusion Bridge Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16948","snapshot_observed_at":"2026-08-06T23:51:09.383795Z","title":"Denoising diffusion bridge models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.383795Z"},"links":{"cited_paper":"/paper/2309.16948","citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:cc410fd0bff6df1c1bbe983302cff03ddb077f22bac0fc75ea28900cb7f94372","observation_id":"9e225412-622f-4880-8ad9-e2494cbf272b","resolution":{"observed_at":"2026-08-06T23:51:09.383795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.497327Z","title":"Learning to rank: from pairwise approach to listwise approach,","venue":null,"work_id":"e3eef4f5-0af5-447d-937b-f32a1e8286d0","year":2007},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.387859Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:6b9053007e1c037d4f56b1cb2337de86089452aabb77736a3ffb03379ae284fb","observation_id":"e7a1cbf5-7efc-4a30-8289-ef51337294d3","resolution":{"observed_at":"2026-08-06T23:51:09.501020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.392321Z","title":"Geolife: A collaborative social networking service among user, location and trajectory","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.392321Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:5498f6733fc2e839bc2bc85bb5d71c6d89aea2d18453429e0ff1e8aff129f95b","observation_id":"78e40762-2434-4c85-b5b7-6704e93a0a82","resolution":{"observed_at":"2026-08-06T23:51:09.392321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.479053Z","title":"T- drive: driving directions based on taxi trajectories,","venue":null,"work_id":"ef3b3e64-e234-4f99-a9bf-30adc2c49a1a","year":2010},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.396186Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:5ddd80e53cce94de64f11443281322d619b7d50e3fcbc9f6c3cc85c312bfc76f","observation_id":"535b32a8-7a77-4797-94f7-14701c2e5cc8","resolution":{"observed_at":"2026-08-06T23:51:09.483190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:51:09.465964Z","title":"Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,","venue":null,"work_id":"dbec44cd-0438-463a-8232-0a3cc2ba9dc2","year":2019},"citing_paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:09.400051Z"},"links":{"citing_paper":"/paper/2506.15898"},"observation_digest":"sha256:2ee4b0c63660f1b3c8a013d5b857b7c89e754ff85112248d17c7075cf839fb5a","observation_id":"9f9e8989-f710-4d37-8166-ce1ee8246695","resolution":{"observed_at":"2026-08-06T23:51:09.471495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.15898","last_updated":"2025-06-18T21:52:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T12:22:52.369838Z","submitted_at":"2025-06-18T21:52:07Z","title":"TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":30},"total_outbound_references":49},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.15898."}