{"as_of":"2026-08-07T18:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6cd55fc8227410ec8aa703bf8914a569a69626fb6ead0a94bf85dae5c12242c","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T15:32:26.359465Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2604.12331/citation-record","integrity":"/paper/2604.12331/integrity","json":"/paper/2604.12331/citation-record.json","paper":"/paper/2604.12331"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"GeForce RTX 4090","venue":null,"work_id":"78126066-c2ab-4ba6-8be3-41a89e485392","year":2025},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:e1b93c4ebda092c78a48e3976bb6531e90abafcfb9e6c6a662d936260be4d6e2","observation_id":"7ac45b43-4f33-4ba2-a79e-e939192f1bcf","resolution":{"observed_at":"2026-05-17T20:35:14.321113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2103.08116","last_updated":"2021-09-23T14:00:04Z","snapshot_observed_at":"2026-07-06T10:49:52.234910Z","submitted_at":"2021-03-15T03:26:06Z","title":"Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2103.08116","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.08116","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"2911a8f0-e762-49f2-942c-84595d6eed5e","year":2021},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"cited_paper":"/paper/2103.08116","citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:de7d2bcbea5c7197c9962d09a44134ac61201d8aa3c05d07800fdbcc3a302306","observation_id":"a2488373-541b-40ee-b492-1ed27fe35052","resolution":{"observed_at":"2026-05-11T10:21:01.522971Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f757d4fe-fb59-4714-af23-d477945ab995","year":2019},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:d4d94f73149b16078307e6b580d96dedeabc1e4f51ad2dd7079d7a1505ecdb4c","observation_id":"7acf32b0-44ec-4ed1-9bb7-880ffc084e6d","resolution":{"observed_at":"2026-05-17T20:35:14.341736Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3f17c4eb-6f6d-414b-89b6-40b6e12e31df","year":2019},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:b80145c71cd4f98e31abb3b369ecac01e13bb6727b4938bd00478c8286843233","observation_id":"00e29f37-c071-4dea-994e-17e7cbbbfa47","resolution":{"observed_at":"2026-05-17T20:35:14.333627Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"98084555-df8b-40d7-bae8-e2657225c797","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:96ecc75783d9e6eee8b03ae341815d7e0dec07af56226634f37c59ca76d2be24","observation_id":"68228900-ddf2-467f-bbfe-db9c8e9c6501","resolution":{"observed_at":"2026-05-17T20:35:14.369681Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d4218908-82e9-4f90-a36c-17c1fa96686a","year":2020},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:29304fa44ab5874f8a4824efdff7b64a83381bd7c61f3a004b560f4e9cb0e3b9","observation_id":"2d17904a-5d7a-4c65-9226-734d382b52de","resolution":{"observed_at":"2026-05-17T20:35:14.309392Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1480a79f-891a-4499-89c4-525b3b58a749","year":2021},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:0befa5ee7190d873f6af6f49b297fae9f37b9102c6346370e18493fa99fdae04","observation_id":"58c448ee-e6d9-4c20-b1e4-55d1eded1f2c","resolution":{"observed_at":"2026-05-17T20:35:14.353018Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fb58f349-b2f5-4b6b-977a-187a304be336","year":2018},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:a744676c03860a1719769c6e5d4b4bf0c0285303697a80e23f5b23561e214768","observation_id":"89d01fba-e1d9-42a6-961c-986b426bd501","resolution":{"observed_at":"2026-05-17T20:35:14.358807Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bd085554-cf80-4b4d-af6e-af5c28b630ed","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:6a8de17f9301da7efead5f6173d8e918594531d7dd1badc98dc20c7810a595cd","observation_id":"8340b455-cd31-4760-8852-c6ce73f9761a","resolution":{"observed_at":"2026-05-17T20:35:14.394584Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c991d707-fe56-444d-a190-a8f8281874be","year":2023},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:a3be13c59c0b50b512bcfb67f5655e19f22678894172a3709e25eaeeb6c1a2ba","observation_id":"ff20b7cd-6070-47d5-abb9-b32a186e276a","resolution":{"observed_at":"2026-05-17T20:35:14.364217Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b7486b40-2bf8-4ea3-9362-b1be3ce691b4","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:5f86a9dcef3fb8d5a2fb931021c04a32afbf1c1255e130f85c729a54cfaf0b60","observation_id":"90c31b2c-e286-4ac9-ba18-faefd448108a","resolution":{"observed_at":"2026-05-17T20:35:14.312280Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1616e0dd-1e6d-4884-b432-bb98f05611cd","year":2009},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:f6ec358fd648c0712ce8225f636873070ecc03ff72ebf08413cdb797778b0c1b","observation_id":"e3264c43-6ae1-4f05-adb6-e24c2e604330","resolution":{"observed_at":"2026-05-17T20:35:14.361533Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"344477c9-8b74-4d19-9757-81e2d8fdfde9","year":2020},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:731af5b9236e03c7ecf6266f67b37933303eb4240fef0823a7999454537bfae2","observation_id":"274355a8-f65f-40cd-8a1a-1295c7b31968","resolution":{"observed_at":"2026-05-17T20:35:14.389215Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4ec9206d-c61d-4f13-83e2-bb66ef01ff98","year":2018},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:2b4032eb881c4675e3b69da0040811c84d678b0666d3c3e298475da3c26afec8","observation_id":"ca7992ed-d60f-4eb0-b83d-7c3c5330e862","resolution":{"observed_at":"2026-05-17T20:35:14.402418Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"50e72787-faee-43e5-ae56-cc1506c0abb4","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:10aea1294fe109de1d901cffb8a4c1d74256574f318af8dda80cfdba93d5c709","observation_id":"edd892f7-ee65-4564-8af4-aec3580ce893","resolution":{"observed_at":"2026-05-17T20:35:14.318026Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"be1a2f2b-4569-47ea-bcd4-9c052a65f2eb","year":2023},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:252c2b074f2cacf8b7678636f70473d70f48cb2b134c1b50b884e39c8728ff9f","observation_id":"e3de8a09-c258-4b00-9fdf-470eff266743","resolution":{"observed_at":"2026-05-17T20:35:14.397447Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5efff310-a184-46b1-8bdb-7d6b8dc01578","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:f53d5ca99b103afc6232fddeb35f635707ab5da09a66fad8429fa24b980aa552","observation_id":"ace0d5af-b2a2-4689-b53f-52d99175e6cd","resolution":{"observed_at":"2026-05-17T20:35:14.303432Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9cad2143-e353-4db7-b95c-80f0008b4d37","year":null},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:f1552f9b53b9e6411123624bf24ee00d31814a98f1115f3bdaaf1340764cb6a6","observation_id":"b81c183e-aa53-43dc-97c6-35b3b8b69001","resolution":{"observed_at":"2026-05-17T20:35:14.306349Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"e3c0cf4c-6374-4836-a8e2-83299a8c461c","year":null},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:b065049ffa6d7773116b5ce599a88474d8d87ee5077380380aaaf6df72fa96f5","observation_id":"6c55d0f2-62a9-430e-924d-9ab9a540f968","resolution":{"observed_at":"2026-05-17T20:35:14.336511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2024.Efficient Perception and Forecasting for Autonomous Vehicles","venue":null,"work_id":"051196ee-412b-4195-8940-0f8cd41d35ad","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:5371557a4d17263fa23bb109cbe4fdeed6fd4f3b96b70d604f5e31dd4225a088","observation_id":"334bee4e-2baf-40f6-8c29-97ada68af4bb","resolution":{"observed_at":"2026-05-17T20:35:14.381465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6ffde7bf-b0b6-4ae7-abb3-6a8d66c27271","year":null},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:119199e96b92532dfe5a8dfe3620ba15424da7f8d88a98f8d8a32e1e5883c8b5","observation_id":"bc36f1af-771b-43f3-879c-fd21ba90d922","resolution":{"observed_at":"2026-05-17T20:35:14.372465Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8e1bbd7e-8301-4122-a74b-440977f68ab7","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:cbeeb37a2299e795b89c23484dfd7d437415bc0eb81cf1cd235b436863a77f14","observation_id":"95a2c57b-72d4-42ed-bed6-521497953717","resolution":{"observed_at":"2026-05-17T20:35:14.315191Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"317f0cad-786a-469b-a1db-91a1f35e28e2","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:ba34dda1fe3ca546504b7dacddf8206eea6d8b50d09d2c82dd790f6e1f6a7ad4","observation_id":"f35c1f17-784f-42fd-8452-9d5b05d3e955","resolution":{"observed_at":"2026-05-17T20:35:14.344443Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"21f11fb0-67b5-4f49-b028-a9c3b0943310","year":1989},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:f65a575757d02431ffe4336a681693807ea575aad225a94a0a9f3212fd9dbdab","observation_id":"8df19b67-647b-4533-a3e8-a092feb128b8","resolution":{"observed_at":"2026-05-17T20:35:14.347554Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c71fe72d-28db-4ae2-b5cb-96cf8844874b","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:ce684799e64cc34cc75e81bc1464945eb6db1b531058492a5190359363ca6adf","observation_id":"b3bc26ad-919a-4f1b-abe8-bfae1cb7ef1e","resolution":{"observed_at":"2026-05-17T20:35:14.327507Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"de38864a-0c0c-44b4-af63-dbad058157dd","year":2021},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:dc1439afc3827e781d15d8effbb125e00bda16697a9602c6b61bd5c969a8b209","observation_id":"b44f985f-0e2d-431e-8b5b-e5e8afd27c5e","resolution":{"observed_at":"2026-05-17T20:35:14.339204Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9f6c17bb-26a9-42c2-9c4a-dbe0c1a37058","year":2025},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:a8a892b07913410e3c696de8b3445ac956ac863bd0be29abf6f6327a12f57132","observation_id":"12ef2f78-9fdb-4ec4-8cc4-4517dcc0bf14","resolution":{"observed_at":"2026-05-17T20:35:14.366813Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ae399989-c089-4d25-bb65-b4c3c8465aad","year":2025},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:5b1053d3b99cc4f257ebb543be590657afc216ac207ffc99bda2542915d7539d","observation_id":"e0c93ac9-4870-403a-99e3-aed9aed4c566","resolution":{"observed_at":"2026-05-17T20:35:14.405358Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"62402b91-c127-4a8c-8e87-8062ee5a908b","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:7eb725ae98c821ef04a39d45323899e67990cf7752e3e2f03ef0b8122f74f43a","observation_id":"6552807b-2465-4fe0-bf97-b1f007218e41","resolution":{"observed_at":"2026-05-17T20:35:14.407871Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e1d87b78-6286-4805-9443-54dd986c781b","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:1b60b49256f60960a7d5b103431d5ec97027fcf123dfd5535fb7eafdf9dba2eb","observation_id":"2092c876-9068-4305-8a71-bbc0eb21bd62","resolution":{"observed_at":"2026-05-17T20:35:14.355904Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9a5b614c-9b33-4cab-b3e3-7487ffaedfc7","year":2023},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:67945ccdea95f371ebfdd574f3dfee436a0122d1305d22ca506e13c4dab1a8cc","observation_id":"38509bc0-6907-4771-9229-ddf15173134c","resolution":{"observed_at":"2026-05-17T20:35:14.391860Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1c2af9e9-93de-4ec5-ab24-221643c3f411","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:ef16ed6bdd0444551166c546ac3b4db76b159d4f36f2a50f5f200d8c54d3d81c","observation_id":"2398cc25-f800-4f6b-9b51-74266347ac58","resolution":{"observed_at":"2026-05-17T20:35:14.330698Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3526241","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Rahmani, and Nikil Dutt","venue":null,"work_id":"d2b0208e-b5b7-4e98-88ab-6a3938837667","year":2022},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:e428f830741cdb1b6cfe87a36fa385d9ad2fa752c1e7550be6926d7e33a62438","observation_id":"c9b2a322-c30a-409f-9a78-7704388989e7","resolution":{"observed_at":"2026-05-10T15:35:33.269347Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"11954c02-109d-4f75-b181-570c956cf216","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:4090f5625dd0d8cddc61c70de799a67d0d8b463a7788fcc47f6297e0c3117e5e","observation_id":"3d7cec8e-3557-4933-994d-2596203ce615","resolution":{"observed_at":"2026-05-17T20:35:14.384049Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"72e81d5b-0ec6-4beb-8933-e15e0819496c","year":2021},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:95dc0b546d237f7c180c7dab9392293963c0f0e3fcc3ff56c433d51744f62b96","observation_id":"236d7a00-d52e-4598-9266-476d7568e5c7","resolution":{"observed_at":"2026-05-17T20:35:14.324201Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f9c2a4db-bbb9-47d3-9fb6-643e433739d7","year":2025},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:69bc54014c7cb9820604aaef6f879f6d655c6e9e3b382b695250833bdf9a56a3","observation_id":"2ad992a3-e5a1-488c-ae47-96688150b267","resolution":{"observed_at":"2026-05-17T20:35:14.350522Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6c347837-eb50-4ed7-ae88-b04c46bd97e7","year":2023},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:8cb539968e57d36a39d8ac911f4dda0e659d8aa3f7fcaa9f87c2dee39e11aa96","observation_id":"e5916bc1-6a65-419f-8d88-baa93d2372dc","resolution":{"observed_at":"2026-05-17T20:35:14.386688Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2406.16279","last_updated":"2024-12-03T12:09:33Z","snapshot_observed_at":"2026-07-06T18:35:45.699877Z","submitted_at":"2024-06-24T03:01:08Z","title":"SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud","version":3},"cited_work":{"arxiv_id":"2406.16279","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.16279","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c5faa966-c650-4567-9257-2ad5902ef1b2","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"cited_paper":"/paper/2406.16279","citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:dfb60ed032406fafef0f8f11b0b395927cfd0afa96c4837458d9b9cb6e25ac6b","observation_id":"888c6fe1-5470-4434-b05b-57bd02bfdd91","resolution":{"observed_at":"2026-05-11T10:21:01.544507Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e7a4f5e1-3e32-4d23-a4fc-18524e99ebdd","year":2020},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:90312e79eae521469d3bac87e3f9b008ba93c3e080a7cdad65a93eb2b8fa7910","observation_id":"c7836b05-7261-4c96-bcd6-a095246e7422","resolution":{"observed_at":"2026-05-17T20:35:14.375342Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"280f3d98-03ea-44fe-9e22-3550a9eda508","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:6e5772ebf10763f6efa28b2f687af44b54fb7311bdd0b1c9a4ee9b8b07fa70db","observation_id":"6e6fa724-011f-4ea9-85ae-f93ffc72f14f","resolution":{"observed_at":"2026-05-17T20:35:14.378310Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2403.04759","last_updated":"2024-03-07T18:56:33Z","snapshot_observed_at":"2026-07-06T17:41:10.677334Z","submitted_at":"2024-03-07T18:56:33Z","title":"Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing","version":1},"cited_work":{"arxiv_id":"2403.04759","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.04759","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"06a11128-59e0-4050-9ef3-32ea2b955ffc","year":2024},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"cited_paper":"/paper/2403.04759","citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:5c09ad10dbdb85637a385c2c2cf6c3537e7ebe34a74a736d7bb5700d16f0ad81","observation_id":"8edc3ad8-a826-47e3-bb5e-ccf5d9cdf765","resolution":{"observed_at":"2026-05-11T10:21:01.536374Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"541735f3-0dbd-4257-81de-7c4b09c40f9a","year":2021},"citing_paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T15:32:26.359465Z"},"links":{"citing_paper":"/paper/2604.12331"},"observation_digest":"sha256:4494f632ce782f1c85917c738803d7c035d3d225612f27a8b5899f585a64e1c7","observation_id":"f7e1498d-f192-43fb-8a45-29162e882943","resolution":{"observed_at":"2026-05-17T20:35:14.399968Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}}],"paper":{"arxiv_id":"2604.12331","last_updated":"2026-04-14T06:14:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:14:00Z","title":"HyperLiDAR: Adaptive Post-Deployment LiDAR Segmentation via Hyperdimensional Computing"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":4,"verified_fuzzy":3},"total_outbound_references":42},"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 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2604.12331."}