{"as_of":"2026-08-13T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d09b3600bc7975e6afcbeee64ed275522ce6820df4099da29b4883ec55a0cb0","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T12:55:26.381460Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.16668/citation-record","integrity":"/paper/2411.16668/integrity","json":"/paper/2411.16668/citation-record.json","paper":"/paper/2411.16668"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T12:55:27.028130Z","title":"Robotic continuous grasping system by shape transformer-guided multiobject category-level 6-d pose estimation","venue":null,"work_id":"53da115f-66db-4c35-aaf7-91ca07e5fdff","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.178968Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:0969b93f70e145bb6e31eb05004697a2a39433df650ec09f9ab5860b72bb38cf","observation_id":"4fac44df-c218-440b-a8f0-f71b6792d807","resolution":{"observed_at":"2026-08-12T12:55:27.031679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:27.017363Z","title":"Challenges for monocular 6-d object pose estimation in robotics","venue":null,"work_id":"926c687e-afca-4151-a33b-f962ffde30bb","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.182759Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:166a2bc6f22806da977f5b9ca120ace1a1fd49497cbaca6e624987471cea8faf","observation_id":"7dc31047-0017-436a-8412-2f916de4e7ab","resolution":{"observed_at":"2026-08-12T12:55:27.020650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:27.005862Z","title":"Blenderproc: Reducing the reality gap with photorealistic rendering","venue":null,"work_id":"737abc7f-ae2c-4b05-9582-cd55efcca9b3","year":2020},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.186211Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:49330e6c61d6fc2e0d471c9050a6ce05dd5be4a8324652e83570b04fc0377a7a","observation_id":"07a2805a-0ae5-4c69-8f16-386451bbc741","resolution":{"observed_at":"2026-08-12T12:55:27.009540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.995268Z","title":"Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects","venue":null,"work_id":"9e1a6abc-ad20-4388-b55b-6fce35480e84","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.190313Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:ede27d4f92a36feffd6707e445f9423ca21a68fb1d542d214cbe5fa970fc0577","observation_id":"3f1f4889-f7bc-4668-9ee3-b83fea050c56","resolution":{"observed_at":"2026-08-12T12:55:26.998489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.985765Z","title":"Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation","venue":null,"work_id":"8a6042c9-517d-460c-a50e-7e11739634ed","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.193519Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:39f9a0f0fbc6671afccbb01d9ccee36063b6250597abb0ecf8feb3ec1e0de304","observation_id":"00a6a9a2-aa06-44de-8c0e-2416e16cef1f","resolution":{"observed_at":"2026-08-12T12:55:26.989048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.974342Z","title":"Zs6d: Zero-shot 6d object pose estimation using vision transformers","venue":null,"work_id":"ebdd3a0d-7644-42be-8d48-90c965155d0b","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.196879Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:b92b1aea70f3d039224ab031aa9e04a3c05448902122641eee137971729aef28","observation_id":"a9f09ebf-49a0-4720-819a-b288b4cf08a5","resolution":{"observed_at":"2026-08-12T12:55:26.978286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.963917Z","title":"Megapose: 6d pose estimation of novel objects via render & compare","venue":null,"work_id":"506ea004-efef-4ee4-a17d-d27fb7c4b7d5","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.200427Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:b74e5f760f56bd6b48ccb6173e67e15750005b10b8593aee09e136a1958d62a8","observation_id":"509b73c0-bc0e-4473-9b37-4d0f572bb113","resolution":{"observed_at":"2026-08-12T12:55:26.967264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.953636Z","title":"Foundpose: Unseen object pose estimation with foundation features","venue":null,"work_id":"9cef12d2-c414-4cce-8462-e5159efa98d3","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.203347Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:0af25a1017f3e3e2c1a5c360833eb75b510e57c5c4f06ae519cc9a5198f0c4d9","observation_id":"346390dd-e00c-4cdc-b5b1-6d30c22a23c2","resolution":{"observed_at":"2026-08-12T12:55:26.957070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.941962Z","title":"Osop: A multi-stage one shot object pose estimation framework","venue":null,"work_id":"6e1ea8d6-2551-499f-86a7-9f363fc2ab8a","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.206592Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:2c020767553e00e92ba497244e0c27ce8963a56979855bdff5c4190a0f0bc52a","observation_id":"ad4f0cd7-0a75-408a-8f88-18d856a966f2","resolution":{"observed_at":"2026-08-12T12:55:26.945625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.931898Z","title":"Foundationpose: Unified 6d pose estima- tion and tracking of novel objects","venue":null,"work_id":"308922bd-fd74-4546-9c55-3ee9f899e9bb","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.209730Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:3c93e037b58d9fecf0e4e1e7a762216b5d6c7a16147f347c51e7666af71e1383","observation_id":"cc78878b-4638-44a5-95a8-9a2dd8467759","resolution":{"observed_at":"2026-08-12T12:55:26.935257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14279","last_updated":"2024-07-30T09:56:26Z","snapshot_observed_at":"2026-08-13T00:48:48.615509Z","submitted_at":"2024-03-21T10:38:18Z","title":"Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14279","snapshot_observed_at":"2026-08-12T12:55:26.212580Z","title":"Zero123-6d: Zero-shot novel view syn- thesis for rgb category-level 6d pose estimation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.212580Z"},"links":{"cited_paper":"/paper/2403.14279","citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:79c46c5a64f40bd369d64affaa14bf2782d3fa1ebce74758a7cdcd95036f5f05","observation_id":"e45aa4cc-adfa-467e-ba44-3ee5675244d1","resolution":{"observed_at":"2026-08-12T12:55:26.212580Z","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":"2026-08-12T12:55:26.921031Z","title":"Emerging properties in self-supervised vision transformers","venue":null,"work_id":"1c50d55a-c094-4acc-a958-1b0e1f2bd283","year":2021},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.216169Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:ba15602319218ebab2502ceeae12047b92624840ca188d7ea880ca7a96aac793","observation_id":"33d27e80-1250-4ddf-8999-dcea3de3f5f0","resolution":{"observed_at":"2026-08-12T12:55:26.925046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.219100Z","title":"Epnp: An accurate o(n) solution to the pnp problem","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.219100Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:8a133dc1a6e2e56d0798fc8c6742e0e987a0da11b884071b10319dda3bd52530","observation_id":"c1cbad52-0629-4b17-9b2f-f3da76aa4ff1","resolution":{"observed_at":"2026-08-12T12:55:26.219100Z","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":"2026-08-12T12:55:26.905723Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":"47af775b-9226-41ef-90ed-732c82212f2c","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.222095Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:537ecd51b3168b8bf7a03605b0758a302ffbbd57e4c72c4cdd2bd44dd742fc90","observation_id":"3dcb0a9f-ecec-42b1-97e3-19aea4db73f2","resolution":{"observed_at":"2026-08-12T12:55:26.909113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.894846Z","title":"A tale of two features: Stable diffusion complements dino for zero- shot semantic correspondence","venue":null,"work_id":"12a47034-ff6d-4d40-ad48-6544d82b4765","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.225083Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:38174a465a033ff0cafe5042df4a16e8bee0f8829ef17c5e4afac3398b9624a2","observation_id":"0b687f1e-3faf-4a82-9ee3-d28c0f496de7","resolution":{"observed_at":"2026-08-12T12:55:26.898491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.884853Z","title":"Learning 6d object pose estimation using 3d object coordinates","venue":null,"work_id":"a2b22eb5-fcf2-409c-a249-d065677b222a","year":2014},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.228284Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:8440e13a58d93a11615a1e99da8d0a39d6fc5d12e09ff15d7a7b8b0966064317","observation_id":"ea8ac15a-dfc8-4b36-a569-a80d6b388d64","resolution":{"observed_at":"2026-08-12T12:55:26.888347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.875596Z","title":"Xiang, T","venue":null,"work_id":"83eefc11-4e2b-450d-92d1-03794e40de67","year":2018},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.231287Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:a7de66e868baac244e16cb96844448bbef525c424ba53596e5e4e07e033f7abc","observation_id":"9d35674e-be3a-4b2f-90e7-2a44152b84b7","resolution":{"observed_at":"2026-08-12T12:55:26.878694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.866200Z","title":"T-less: An rgb-d dataset for 6d pose estimation of texture-less objects","venue":null,"work_id":"e6a203e6-03eb-4c3f-865d-3f81d736f1d6","year":2017},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.234360Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:65a6b5e2e87213d7a993d4074f88a07dfaaa517b51c642e15286ac9120836e8b","observation_id":"b187bc13-65c0-4c69-8f88-56ce4899975e","resolution":{"observed_at":"2026-08-12T12:55:26.869526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.856242Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"a1d6ac34-1cf5-4501-ab6f-83f4d320fded","year":2021},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.237374Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:33c88529697a953d5cd95aea79a7273435535b4f5c7163b38e839b1b421110a6","observation_id":"ea817db8-9865-4fab-bc57-29cf34a75475","resolution":{"observed_at":"2026-08-12T12:55:26.859845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.846361Z","title":"Cad-model recognition and 6dof pose estimation using 3d cues","venue":null,"work_id":"2f4a2dde-aeb4-4137-b22c-e6cbcd27c88a","year":2011},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.240438Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:41cc5725a693fbc4afcca8b84520cfd078eced3f54243974fac13ca62ff1b465","observation_id":"9711c090-942f-4723-acec-4cfb66067d17","resolution":{"observed_at":"2026-08-12T12:55:26.849786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.836473Z","title":"Pose estimation using local structure-specific shape and appearance context","venue":null,"work_id":"292661f1-0f3c-4861-8158-fcbc5af99464","year":2013},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.243371Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:f6dee5e0f367462d09b54973480058ec0f7d898e410844b313faef1c2ac25245","observation_id":"6479493b-c954-4ab6-9846-18f51814ffe3","resolution":{"observed_at":"2026-08-12T12:55:26.839680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.827252Z","title":"Model globally, match locally: Ef- ficient and robust 3d object recognition","venue":null,"work_id":"da88a764-945d-4bb5-93ba-a298067846c6","year":2010},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.247426Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:1e6c41ee749351dabfd6c652622a01e40156a46d6d107d88c05e1287f23cc33d","observation_id":"d87176ad-7aa3-4aa5-ad99-e32a294ae1c4","resolution":{"observed_at":"2026-08-12T12:55:26.830525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.817828Z","title":"Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes","venue":null,"work_id":"1f85e229-c9fe-41c3-942c-308e00a18ba8","year":2012},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.251339Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:6241167ed11d0367a52813210e44f3aad47d1f57d838126baf356c16ccb35816","observation_id":"ba8e1a21-98b3-4254-9736-7dc9976788ab","resolution":{"observed_at":"2026-08-12T12:55:26.821335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.807676Z","title":"Faster and finer pose estimation for multiple instance objects in a single rgb image","venue":null,"work_id":"b6ed6874-6167-4a98-be91-07787ba59e0f","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.254324Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:d7d91a81526419f3678ce3c4079b2c1de8907fe2e009746257e5824fa76a8e61","observation_id":"e91d7379-77af-4e13-afb1-83ccc378d723","resolution":{"observed_at":"2026-08-12T12:55:26.811457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.796492Z","title":"Irpe: Instance-level reconstruction-based 6d pose estimator","venue":null,"work_id":"29998f3f-51ca-450b-a86b-814afb876082","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.257395Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:933f6fd4d971c228ac7caa9dd3b0d4b37ab171d9e743b24746417b9ed44c6786","observation_id":"810f6b3e-7253-4d92-8574-9a9ec0318d25","resolution":{"observed_at":"2026-08-12T12:55:26.800144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.786385Z","title":"Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again","venue":null,"work_id":"a4e5dca9-c232-4458-a520-8a63b12e62e5","year":2017},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.260886Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:0f50f9f23ba08161170ad30790b14239c7e044784d6f3a567465654fc3922b0a","observation_id":"30657a46-2c65-4284-9df1-22ac4308b082","resolution":{"observed_at":"2026-08-12T12:55:26.789512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.776787Z","title":"Cosypose: Consistent multi-view multi-object 6d pose estimation","venue":null,"work_id":"380e5c2a-0a71-47bf-9af3-4a3992a03c55","year":2020},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.263969Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:20e718c961102b3048ee564261d5b2a1f22df1e925487944c05aceff9df47e86","observation_id":"27efa765-fe94-431a-b352-ba579658ba22","resolution":{"observed_at":"2026-08-12T12:55:26.779964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.766304Z","title":"A dynamic keypoint selection network for 6dof pose estimation","venue":null,"work_id":"ab6e8315-fb21-4dda-a1cf-4c4488a78714","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.266934Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:76f9e5b2f7267473b10fb93553d8c4193a1f18015c5df8bcdbac73d0b50d1dab","observation_id":"f06bd149-1f70-4b04-a91f-42ce460e0089","resolution":{"observed_at":"2026-08-12T12:55:26.769804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.756792Z","title":"Real-time seamless single shot 6d object pose prediction","venue":null,"work_id":"a2217fd9-1df6-44bd-9487-b4bc99bbfb9f","year":2018},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.269923Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:39bac0958a5af77a6f7df415ef0486b83aee4a0e3fb9a4004d514ca2871c998d","observation_id":"f2ac44ca-2316-413a-9c87-f8e39bdbca86","resolution":{"observed_at":"2026-08-12T12:55:26.760141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.746858Z","title":"Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation","venue":null,"work_id":"a8fae5ad-e1bf-4a39-908a-be82357940f8","year":2021},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.273786Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:d1858d3986c1ee62419a03283d2d109c7a79b46bc745340442741914fd5190ae","observation_id":"47cb45d3-121f-46a6-91b9-02cd8a101403","resolution":{"observed_at":"2026-08-12T12:55:26.750163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.737449Z","title":"Oa-pose: Occlusion-aware monoc- ular 6-dof object pose estimation under geometry alignment for robot manipulation","venue":null,"work_id":"a8caf8e3-d027-4308-97b4-233523ce9618","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.277514Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:fa8b9dd4b65a6821f496eaac2c3da68d9085d27e7862d424c14a4edaf4ed7861","observation_id":"e17c9e79-f244-4d64-a0ab-9c52a0e34673","resolution":{"observed_at":"2026-08-12T12:55:26.740834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.727484Z","title":"Multiple geometry representations for 6d object pose estimation in occluded or truncated scenes","venue":null,"work_id":"e9a7d7e9-bae2-46de-876a-694de9a797a3","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.280577Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:1b691cb3d99a33dae794b2df8c249858dd8a8ac30878c23c46f1b2414d48fb28","observation_id":"ee71cfe4-2db8-4ed8-9ee1-768433e3ddf9","resolution":{"observed_at":"2026-08-12T12:55:26.731098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.717660Z","title":"Geometric-aware dense matching network for 6d pose estimation of objects from rgb-d images","venue":null,"work_id":"8ac74d93-84c3-494c-afce-ae85ea737e6f","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.283791Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:03d279f25256ed47d663e2b84db045f85067002549c90847e4ac90e8c27e714a","observation_id":"60624c89-c254-4422-aa6b-de4a6580fc5b","resolution":{"observed_at":"2026-08-12T12:55:26.721038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.707546Z","title":"Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting","venue":null,"work_id":"550cccce-c7e0-4d12-bed0-fdec9570d3c3","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.286946Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:164eababd4eb9a1e94e9b5b61b9d16d136b5cdfd53a959d4ff1deb3eabb0cc09","observation_id":"cef48ae1-adf4-4a05-b945-0e2fb9f31d1a","resolution":{"observed_at":"2026-08-12T12:55:26.710707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.697439Z","title":"i2c-net: using instance-level neural networks for monocular category-level 6d pose estimation","venue":null,"work_id":"8d47b38c-ea2f-48b9-ae44-dbe9370579b7","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.290771Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:5e08db480805c02471869d802e1f14b502b376256a97fc1a25380c0150e2ffb5","observation_id":"fef13deb-9572-4f5f-a866-5852dea950bb","resolution":{"observed_at":"2026-08-12T12:55:26.700697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.687916Z","title":"Normalized object coordinate space for category-level 6d object pose and size estimation","venue":null,"work_id":"2bb174e4-4236-4ef1-90ff-6c85b1d5d8d0","year":2019},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.294290Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:d1bd7db254d9fd660217978e9e43fac76823c04b1a2359f54c85b4181315e386","observation_id":"a4ad80ea-f634-45c5-82e4-d9872518323b","resolution":{"observed_at":"2026-08-12T12:55:26.691332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.678005Z","title":"Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions","venue":null,"work_id":"6259ff70-07bf-4603-9b3c-4f25c7c7b18e","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.297516Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:074ec0d597c3d3a0b26c722b3ef1aa7f345e9cfb7107ddc55842d42c17b25699","observation_id":"11df4b99-f327-4c57-acd8-fdd849050869","resolution":{"observed_at":"2026-08-12T12:55:26.681602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.667479Z","title":"Self- supervised vision transformers for 3d pose estimation of novel objects","venue":null,"work_id":"2e9f5686-6b45-4602-8311-8ca36044bf00","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.300522Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:33c22abada5ce0c06504a2d189b9bbaf4c54a128733a52ee28c43b0055f45942","observation_id":"a85a6e07-4639-46db-b267-2aac3fbd70ab","resolution":{"observed_at":"2026-08-12T12:55:26.670651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.657359Z","title":"Zero-shot category-level object pose estimation","venue":null,"work_id":"b90a56d1-3ce5-49f7-9909-7f38da4dba9b","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.303605Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:124615dac8cf649f0c678843daf73e4a3cbe2d19d90513ebb5dcbeb7bf0e59cc","observation_id":"b7a77d79-9564-4902-a5cd-aa4d1e2b8d64","resolution":{"observed_at":"2026-08-12T12:55:26.660754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.646550Z","title":"Gigapose: Fast and robust novel object pose estimation via one correspondence","venue":null,"work_id":"6c3619b2-5c7e-451a-bb96-18221d71a0e8","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.306384Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:899258a31bc94caac16c24cad0b87d1d3ad5961ebea3bd40588359cc10ae4d88","observation_id":"f49ca186-0d84-43cb-a338-f913c4619454","resolution":{"observed_at":"2026-08-12T12:55:26.649897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.636888Z","title":"Sam-6d: Segment anything model meets zero-shot 6d object pose estimation","venue":null,"work_id":"6b16ef25-accf-45d5-a32c-407e0d419356","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.309683Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:406e597074ff7fc00dc57eebcece221471c565548e8e791127c723261b2a343e","observation_id":"798107a3-7084-40f5-af3e-ce4c04702889","resolution":{"observed_at":"2026-08-12T12:55:26.640420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.626736Z","title":"6d-diff: A keypoint diffusion framework for 6d object pose estimation","venue":null,"work_id":"ccbf497f-826d-44b6-90cb-3c88b61cc90f","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.312723Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:db831a8d8e4f5414c6b927d7c3b6db925a46657a403d8bd735c5873194aefa28","observation_id":"f5ca74b6-fa96-4328-851d-51ad305ff7bd","resolution":{"observed_at":"2026-08-12T12:55:26.630352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.615196Z","title":"Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation","venue":null,"work_id":"425342cb-1bc4-4475-b76a-fb3b53ab9f92","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.316160Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:e1f5eaac498413c98267d899f99d4bdcc602c1c5e542845e43b74b49a08f91ad","observation_id":"bd2de4a1-b1dd-46d6-9b45-4f1afe873d9d","resolution":{"observed_at":"2026-08-12T12:55:26.618817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.605056Z","title":"Segment anything","venue":null,"work_id":"98b29c97-c827-4e7b-b015-885d82d0a5c1","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.319684Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:2c32bbe728844a8833e5fe9b9052231d76cc1aeee74cd4e259a3c91705338d7d","observation_id":"8a30b4d3-b22f-4e8d-907b-38b454f29cc2","resolution":{"observed_at":"2026-08-12T12:55:26.608643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.594868Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":"87cb2cb7-2adc-49fb-8df3-2375338dfb11","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.322976Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:44dca33f3808c177c9358e5526ce2ba3df10a2f3b714f39a91e1d29025d84e3d","observation_id":"5c35ee50-8a5f-4ad1-af78-2bf171e4ae43","resolution":{"observed_at":"2026-08-12T12:55:26.598180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.584835Z","title":"A general protocol to probe large vision models for 3d physical understanding","venue":null,"work_id":"36c18126-ccc0-4e28-8150-450fe1715862","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.326752Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:571570df68774972c3858c6e926c194b625e2f28cf85b65b5940b218d2648fab","observation_id":"bd92e03b-da1f-4c7a-8c42-182bc1f15ace","resolution":{"observed_at":"2026-08-12T12:55:26.588163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.573408Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"a953fbb6-c2a8-4079-88f7-2db1a9b7d13a","year":2017},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.330206Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:9de44ee40ccf09761e0b602c35979f03bddfc1be94d1ebf30e9658fcaf8bb6ca","observation_id":"69193c81-1526-4cae-8d8b-5a547520057d","resolution":{"observed_at":"2026-08-12T12:55:26.577727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.563394Z","title":"Glipv2: Unifying localization and vision- language understanding","venue":null,"work_id":"d141db19-de01-4f01-a9fb-e5c56446a85a","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.333231Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:2d6d2151ebd69b73a285a7dfe0363ec755261832eac307759e0764a5a5a8ee7b","observation_id":"787dbc79-55de-44e4-8557-0c6c36fdbde0","resolution":{"observed_at":"2026-08-12T12:55:26.566927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.552702Z","title":"Open x-embodiment: Robotic learning datasets and rt-x models","venue":null,"work_id":"822a0eea-6ae3-4504-9a84-8f2a91439ab9","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.335893Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:9a54a6f33bf643978e9272f810e3226b8a1d86b78ae130c898785363bd1a66f9","observation_id":"5d33a8ac-ab6f-4425-ad85-164e25f80e45","resolution":{"observed_at":"2026-08-12T12:55:26.556275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.338799Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.338799Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:f9db0efbcad95dddebcef7c86e5cdc553227d9ba2970025599298d5f22a0f81b","observation_id":"7524413e-9d48-4609-9d38-63a84a4ba51c","resolution":{"observed_at":"2026-08-12T12:55:26.338799Z","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":"2026-08-12T12:55:26.534988Z","title":"Repaint: Inpainting using denoising diffusion probabilistic models","venue":null,"work_id":"e0ff473f-7af8-44cb-a76a-37b7ea48f316","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.341503Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:6e913ff27b000edd4cbfe98d010620a0a0c841526db3123e79685abd75a8a7e2","observation_id":"31804923-4609-451d-a0ae-305851ce8ad1","resolution":{"observed_at":"2026-08-12T12:55:26.539063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.525145Z","title":"Implicit diffusion models for continuous super-resolution","venue":null,"work_id":"4e27e641-42c8-41e5-acb9-0c39a45deb9b","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.344698Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:7909efa5bac8ea616529aed80e84176155e800458e7716fc191a0da182341ad0","observation_id":"b75e3dbd-1db3-415a-bf1b-8b252579def9","resolution":{"observed_at":"2026-08-12T12:55:26.528881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.515792Z","title":"Inversion-based style transfer with diffusion models","venue":null,"work_id":"53828f85-bd48-4168-8851-f11c48a9f1b9","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.348131Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:7dddb8000b17231300dde42b02529df9afe76709e357f62077fe396d54e55156","observation_id":"60c68042-e4ac-4859-8108-c2cfa552fc68","resolution":{"observed_at":"2026-08-12T12:55:26.519133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.506157Z","title":"Diffusion hyperfeatures: Searching through time and space for semantic correspondence","venue":null,"work_id":"6daf6b55-dd6e-4e74-ba87-79275bf73d83","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.351375Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:f68a5787d52678351e0d5344b34511b77686a5741c582ac4da5b4ecb700a071e","observation_id":"4d2357f8-9ece-494c-9c09-1d2aa38fd786","resolution":{"observed_at":"2026-08-12T12:55:26.509418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.495052Z","title":"Click to grasp: Zero-shot precise manipulation via visual diffusion descriptors, 2024","venue":null,"work_id":"3b12bf58-9afb-468d-a302-c85feecc535f","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.354759Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:a45bb3214e07a2ac3b031d52acc5a6cb7675b4f22c9797a1dbb390ce9a2ee932","observation_id":"76c3d44c-a626-43fc-88be-b54cfb21975e","resolution":{"observed_at":"2026-08-12T12:55:26.498857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.485085Z","title":"U-net: Convolutional networks for biomed- ical image segmentation","venue":null,"work_id":"f9e99e72-6c35-4b55-8ab9-256d8436620b","year":2015},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.358372Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:f6ecf15e1bca95078a8686a1a4fa15b97ade4d53d98d39f2145f0031e698e6ea","observation_id":"b432c5a4-72f5-460c-909a-e1afc173d43e","resolution":{"observed_at":"2026-08-12T12:55:26.488340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.475464Z","title":"Multiple View Geometry in Computer Vision","venue":null,"work_id":"66af91ee-fdaf-4b10-9ada-562738272ab7","year":2003},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.361205Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:b5a532f1114c9f4c73926411d34c453db68b78b7b871ecc5241bafde7576a8b5","observation_id":"3130400e-c2fc-4ed5-bfda-147a7769e4de","resolution":{"observed_at":"2026-08-12T12:55:26.478756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.464609Z","title":"Cnos: A strong baseline for cad-based novel object segmentation","venue":null,"work_id":"92aa63a8-886f-4d00-b9b4-53fcfcc75eff","year":2023},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.364220Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:960ddcc2c3c8042517c796e223286e65bc55885a2cd1385ffbe2a044665b42ab","observation_id":"311a2e21-77be-487e-908d-33fa9c6db30d","resolution":{"observed_at":"2026-08-12T12:55:26.467862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.454867Z","title":"Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation","venue":null,"work_id":"3e9fb33b-50cf-44d9-a0fc-ea693a012198","year":2019},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.367868Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:71c640d05cf66806fbffb9359aadc032ea425bf73d94429a4cd8e4148c00f0f6","observation_id":"c360c71f-464f-4c13-8032-fe5731f9e638","resolution":{"observed_at":"2026-08-12T12:55:26.458220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.444241Z","title":"Laion-5b: An open large-scale dataset for training next generation image-text models","venue":null,"work_id":"3befa9bd-a806-4e1f-8763-f3cf9737be14","year":2022},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.371685Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:8e032c4e9b7136b6e4348aa7541e9ac08aadd4b4a2ccc129b2054ede35f0364c","observation_id":"82084d06-2378-40a2-85fc-daddf1493289","resolution":{"observed_at":"2026-08-12T12:55:26.448204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10759","last_updated":"2022-04-18T12:26:06Z","snapshot_observed_at":"2026-07-06T12:20:47.369918Z","submitted_at":"2021-12-20T18:59:40Z","title":"3D-aware Image Synthesis via Learning Structural and Textural Representations","version":2},"cited_work":{"arxiv_id":"2112.10759","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.10759","snapshot_observed_at":"2026-08-12T12:55:26.405637Z","title":"3D-aware Image Synthesis via Learning Structural and Textural Representations","venue":"cs.CV","work_id":"78a20c98-10fd-4c86-b519-f026eab6dd3c","year":2021},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.374726Z"},"links":{"cited_paper":"/paper/2112.10759","citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:619a3da97b1cc3185226b5075868b6d903a8cfa0ecece95a30cb312a7bfb4917","observation_id":"37da5593-f2cb-44cd-bc0f-b1242ee7afba","resolution":{"observed_at":"2026-08-12T12:55:26.410745Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T12:55:26.378360Z","title":"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.378360Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:a9dbf5a3ab9d3f4d1e959165fc61e70ab0eceec62bded6b3dba3360e53f03937","observation_id":"c43f4af4-0d3d-4e58-a1cf-f2d833a17c03","resolution":{"observed_at":"2026-08-12T12:55:26.378360Z","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":"2026-08-12T12:55:26.428229Z","title":"Telling left from right: Identifying geometry-aware semantic correspondence","venue":null,"work_id":"fdcbe5b8-b55c-407a-9f21-a78da2024782","year":2024},"citing_paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T12:55:26.381460Z"},"links":{"citing_paper":"/paper/2411.16668"},"observation_digest":"sha256:44c6d9f96c5fc189cb9f454f0e4af414fd5b50c4f77aac0c44b28cec75d4d937","observation_id":"6cba4d07-1bd5-4a97-a485-394c193d179a","resolution":{"observed_at":"2026-08-12T12:55:26.431702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16668","last_updated":"2024-11-25T18:53:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T06:20:09.911039Z","submitted_at":"2024-11-25T18:53:56Z","title":"Diffusion Features for Zero-Shot 6DoF Object Pose Estimation"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":58},"total_outbound_references":63},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.16668."}