{"as_of":"2026-08-09T01:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c18b4b86cb4c5434d86f28ac5078d0dbaa819ef1458e6a8e0a2cc36a37bf77c3","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:40:38.957384Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T14:19:53.812703Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-06T23:40:38.957384Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16555","last_updated":"2025-06-19T19:19:27Z","snapshot_observed_at":"2026-08-06T23:35:49.797948Z","submitted_at":"2025-06-19T19:19:27Z","title":"An Optimization-Augmented Control Framework for Single and Coordinated Multi-Arm Robotic Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:40:38.957384Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2506.16555"},"observation_digest":"sha256:d357afee489b607bf93ec5d2e6ef03e374b445f6a77d66e7cdad42656d0a3078","observation_id":"7a596130-d20a-4826-b1e9-1a88bbf6e935","resolution":{"observed_at":"2026-08-06T23:40:38.957384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-06T19:29:28.679955Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.05555","last_updated":"2025-07-08T00:35:28Z","snapshot_observed_at":"2026-08-06T19:21:16.373357Z","submitted_at":"2025-07-08T00:35:28Z","title":"PAPRLE (Plug-And-Play Robotic Limb Environment): A Modular Ecosystem for Robotic Limbs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:29:28.679955Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2507.05555"},"observation_digest":"sha256:4b947c45437d6126d7cd48d91e8d34c39073fc53b087ce897ddc6a33211e7ab6","observation_id":"898f5dfe-fa3c-4db8-bbcb-115ed77fa8da","resolution":{"observed_at":"2026-08-06T19:29:28.679955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-04T21:29:10.006454Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07962","last_updated":"2025-09-09T17:50:37Z","snapshot_observed_at":"2026-08-04T21:29:05.648300Z","submitted_at":"2025-09-09T17:50:37Z","title":"TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T21:29:10.006454Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2509.07962"},"observation_digest":"sha256:4be1b675321a7eb45d945a1b9f93da74eda74960810b93113f04933b8d78ef5c","observation_id":"2e7e11f7-bbb8-4ae0-9bf9-74c8cdd78b37","resolution":{"observed_at":"2026-08-04T21:29:10.006454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-04T21:05:27.119135Z","title":"FACTR: Force-attending curriculum tr aining for contact-rich policy learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08226","last_updated":"2025-09-10T01:59:00Z","snapshot_observed_at":"2026-08-04T21:05:19.133506Z","submitted_at":"2025-09-10T01:59:00Z","title":"Input-gated Bilateral Teleoperation: An Easy-to-implement Force Feedback Teleoperation Method for Low-cost Hardware","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T21:05:27.119135Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2509.08226"},"observation_digest":"sha256:f68026ae1bbf0b5dd51d93db38e68f59588e1949e57d931483ba6e616632f607","observation_id":"18e3e9f4-0da8-4f6b-89ba-3d1e230fe390","resolution":{"observed_at":"2026-08-04T21:05:27.119135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2510.02738","last_updated":"2026-04-16T01:39:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-03T05:40:58Z","title":"Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T11:07:57.386640Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2510.02738"},"observation_digest":"sha256:09634768296f2cce7efe190ae47f334241b33edf459de865c4e762e260385116","observation_id":"71cc721e-2dec-467a-9110-6f4564bb84a3","resolution":{"observed_at":"2026-05-18T11:11:18.008272Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2512.07371","last_updated":"2026-04-26T08:11:21Z","snapshot_observed_at":"2026-08-02T04:55:04.725448Z","submitted_at":"2025-12-08T10:08:33Z","title":"ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-17T01:10:30.066045Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2512.07371"},"observation_digest":"sha256:03e595cae7931dbf9c50449bad33010e7a3ebedac6a98ca64cefd6e4bd88d6d9","observation_id":"25f06882-9fa1-49ed-bf72-39604384e77d","resolution":{"observed_at":"2026-05-17T01:11:24.422063Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-03T17:05:08.028303Z","title":"Factr: Force-attending curriculum train- ing for contact-rich policy learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.10946","last_updated":"2026-07-21T09:04:48Z","snapshot_observed_at":"2026-08-06T21:43:01.698535Z","submitted_at":"2025-12-11T18:59:46Z","title":"ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T17:05:08.028303Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2512.10946"},"observation_digest":"sha256:e3dd5ddd764650cdb2f9f6402ade33f8158d9933269de9d8d5f3ef1b0500fd8a","observation_id":"0c616adc-04e6-4a23-bf84-fc5cdb89effa","resolution":{"observed_at":"2026-08-03T17:05:08.028303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2602.13833","last_updated":"2026-05-03T09:35:55Z","snapshot_observed_at":"2026-07-06T22:45:53.926021Z","submitted_at":"2026-02-14T16:05:08Z","title":"Semantic-Contact Fields for Category-Level Generalizable Tactile Tool Manipulation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-15T22:19:37.869463Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2602.13833"},"observation_digest":"sha256:204a816ea2cfa1659b514258e9df133dc6049709ac6d3a1ef61d74fa45b28f67","observation_id":"b76e8ba3-cf2d-45de-9d3c-2b525b69fcc1","resolution":{"observed_at":"2026-05-15T22:20:22.591418Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2604.16850","last_updated":"2026-04-18T05:51:46Z","snapshot_observed_at":"2026-08-02T22:33:48.636764Z","submitted_at":"2026-04-18T05:51:46Z","title":"Refinement of Accelerated Demonstrations via Incremental Iterative Reference Learning Control for Fast Contact-Rich Imitation Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T07:05:33.419223Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2604.16850"},"observation_digest":"sha256:45780d4665c103db583b44687e2da30d7d312db6870b96ca25b67dbb5dfdb5c7","observation_id":"9d14bf5e-e1ae-4c85-bee5-3205799fcf2e","resolution":{"observed_at":"2026-05-10T07:06:52.879355Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2605.02600","last_updated":"2026-05-12T11:25:37Z","snapshot_observed_at":"2026-08-02T10:06:25.950554Z","submitted_at":"2026-05-04T13:49:19Z","title":"CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T18:23:49.597397Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2605.02600"},"observation_digest":"sha256:a4426b6e9a3f66a23641fac9a5469c189c8234ad14592c58ff1c6e6088b41100","observation_id":"c87fa6c7-17be-4119-997c-fca49f8c602f","resolution":{"observed_at":"2026-05-09T06:30:42.684909Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2605.02600","last_updated":"2026-05-12T11:25:37Z","snapshot_observed_at":"2026-08-02T10:06:25.950554Z","submitted_at":"2026-05-04T13:49:19Z","title":"CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-13T06:28:53.126219Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2605.02600"},"observation_digest":"sha256:4bf3442aa99da3535abaa186f125120e3d0bc7b4a35ad22f2a331181445c3f1f","observation_id":"b7fb1d1e-83b0-40d9-9b24-59db64299f00","resolution":{"observed_at":"2026-05-13T06:32:24.625886Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2605.16257","last_updated":"2026-05-15T17:59:51Z","snapshot_observed_at":"2026-07-06T23:27:24.957966Z","submitted_at":"2026-05-15T17:59:51Z","title":"DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-20T17:49:35.834736Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2605.16257"},"observation_digest":"sha256:78b0eed17a6c1ac057a181b3ed22261b6a7fff918e33a0586bf07a94243668a9","observation_id":"ff727fd0-283f-4c5b-8c27-78ea1cf8033e","resolution":{"observed_at":"2026-05-20T17:53:36.669894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2605.21976","last_updated":"2026-05-21T04:11:03Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:11:03Z","title":"TacO: Benchmarking Tactile Sensors for Object Manipulation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-22T05:46:14.233407Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2605.21976"},"observation_digest":"sha256:166159438fe878fd2e493a86f09c7fe960a6be970befc5b8b98d2ea8336df3a4","observation_id":"a2439225-f44d-459d-a7f8-e6d77c1ea42c","resolution":{"observed_at":"2026-05-22T05:51:09.229952Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2606.06461","last_updated":"2026-06-04T17:51:12Z","snapshot_observed_at":"2026-07-06T23:46:15.936608Z","submitted_at":"2026-06-04T17:51:12Z","title":"Flow-based Policy Adaptation without Policy Updates","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-28T01:18:08.001674Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2606.06461"},"observation_digest":"sha256:9623f18af211dc7ce0f7b7e1c95b166b42975f84a89eed0fc786174a18da3d43","observation_id":"a684d466-dc66-4af6-b3ad-45b78e929234","resolution":{"observed_at":"2026-07-02T13:26:59.148034Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2606.10818","last_updated":"2026-06-09T13:00:56Z","snapshot_observed_at":"2026-07-06T23:49:56.404171Z","submitted_at":"2026-06-09T13:00:56Z","title":"IMPACT: Learning Internal-Model Predictive Control for Forceful Robotic Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T13:04:17.761552Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2606.10818"},"observation_digest":"sha256:284bb2c23f43a0af0cf6bb5c02ef97620e5f8c537917fdd7052985e5cca8e57a","observation_id":"aa727b20-f07c-47d0-962c-9d5b920504af","resolution":{"observed_at":"2026-07-03T05:47:41.720322Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2606.27375","last_updated":"2026-06-25T17:59:57Z","snapshot_observed_at":"2026-08-05T07:04:21.472262Z","submitted_at":"2026-06-25T17:59:57Z","title":"Scalable Behavior Cloning with Open Data, Training, and Evaluation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-26T04:15:34.832025Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2606.27375"},"observation_digest":"sha256:900fcf2e759f7a4e282153d2edd3edf90bdb6d457a856e256907ba0d331875ec","observation_id":"75ace37e-f743-479a-b955-76a89dbcdd60","resolution":{"observed_at":"2026-07-04T14:19:53.814326Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":"2502.17432","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-04T14:19:53.812703Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning","venue":null,"work_id":"0f5d0ddc-8dcb-4175-9b58-88dcc7a286bb","year":2025},"citing_paper":{"arxiv_id":"2606.29941","last_updated":"2026-06-29T08:20:18Z","snapshot_observed_at":"2026-08-06T16:16:32.268412Z","submitted_at":"2026-06-29T08:20:18Z","title":"Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-30T05:55:54.345160Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2606.29941"},"observation_digest":"sha256:48f67c231355cdd19816d8c7195db574e27a37fc2ebb0b0e6aa37f9f557c898b","observation_id":"63de8b3c-9ad3-48c5-984f-20fc4ea5fe8d","resolution":{"observed_at":"2026-06-30T13:24:41.105835Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-12T00:23:04.763773Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03723","last_updated":"2026-07-04T06:11:03Z","snapshot_observed_at":"2026-08-01T06:38:23.685403Z","submitted_at":"2026-07-04T06:11:03Z","title":"OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-12T00:23:04.763773Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2607.03723"},"observation_digest":"sha256:e147d91e6c89006d19138ae8deac168b575bc53a74b47a773ac3fdbb74cc269f","observation_id":"ad7696c1-24bc-4635-9b5d-afd69a5cd853","resolution":{"observed_at":"2026-07-12T00:23:04.763773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-02T02:46:02.658687Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14236","last_updated":"2026-07-15T18:01:05Z","snapshot_observed_at":"2026-08-07T06:07:44.357910Z","submitted_at":"2026-07-15T18:01:05Z","title":"Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T02:46:02.658687Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2607.14236"},"observation_digest":"sha256:35af53462ae27594064922a933f532c797eebf85d7448e8728468face622d00c","observation_id":"01e68c02-f765-4a67-807f-bca4c087afb0","resolution":{"observed_at":"2026-08-02T02:46:02.658687Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-01T04:28:11.629454Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22530","last_updated":"2026-07-24T17:59:33Z","snapshot_observed_at":"2026-08-07T23:28:12.417967Z","submitted_at":"2026-07-24T17:59:33Z","title":"ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T04:28:11.629454Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2607.22530"},"observation_digest":"sha256:d633fc65dd33ba91e82c631f407eeb776ff4a60d573c33e7bda74de1e6e4a9e5","observation_id":"d50f8cbd-c4d6-4dc9-b8cd-73e7e2b38d0f","resolution":{"observed_at":"2026-08-01T04:28:11.629454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-07-31T02:45:35.526751Z","title":"Factr: Force-attending curriculum training for contact-rich policy learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28596","last_updated":"2026-07-30T17:47:49Z","snapshot_observed_at":"2026-08-07T01:38:02.068368Z","submitted_at":"2026-07-30T17:47:49Z","title":"FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-31T02:45:35.526751Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2607.28596"},"observation_digest":"sha256:d61169db0222f58323a5fd33ad69362a90dfe310fcb2301594bb224fce73bf58","observation_id":"6903df48-b947-4942-bfac-4f78a945187c","resolution":{"observed_at":"2026-07-31T02:45:35.526751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17432","snapshot_observed_at":"2026-08-06T00:16:22.639878Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01402","last_updated":"2026-08-02T17:34:19Z","snapshot_observed_at":"2026-08-06T23:26:25.450977Z","submitted_at":"2026-08-02T17:34:19Z","title":"Demystifying When and Why VLAs Fail in Contact-Rich Tasks and How to Fix Them","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T00:16:22.639878Z"},"links":{"cited_paper":"/paper/2502.17432","citing_paper":"/paper/2608.01402"},"observation_digest":"sha256:62969deefe7dbe89ac8f02b1af3d9c8730d178ca21fdf8603988edec0c8efc31","observation_id":"75a8c975-9a28-4966-b805-38cabafe0623","resolution":{"observed_at":"2026-08-06T00:16:22.639878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.17432/citation-record","integrity":"/paper/2502.17432/integrity","json":"/paper/2502.17432/citation-record.json","paper":"/paper/2502.17432"},"outbound":[],"paper":{"arxiv_id":"2502.17432","last_updated":"2025-04-24T18:26:19Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T17:52:18.738988Z","submitted_at":"2025-02-24T18:59:07Z","title":"FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2502.17432."}