{"as_of":"2026-08-18T20:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b893daebbcccbb160b2ea2a76a66fbbe473aa428a0ad3d8048c6b59c5a93cd99","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:47:46.954911Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2508.17751/citation-record","integrity":"/paper/2508.17751/integrity","json":"/paper/2508.17751/citation-record.json","paper":"/paper/2508.17751"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:47:47.435571Z","title":"Phi-3 technical report: A highly capable language model locally on your phone","venue":null,"work_id":"7025fb32-0a5c-4b23-a299-ed8a6e5a1128","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.808886Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:0d39c62b26becce432fc980c9f4709e429021dfb1ecdcfe6680c1c5a4107c0a0","observation_id":"690b37ac-af80-40b6-b9ff-c0b4e5ff506d","resolution":{"observed_at":"2026-08-05T16:47:47.438278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.427778Z","title":"Evaluating CLIP: Towards characterization of broader capabilities and downstream implications, 2021","venue":null,"work_id":"4a8b5ec7-98f5-4920-823b-f8a3d353ffad","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.812243Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:a8013cb00fa543ae4936e2cfa1299a32b26a81c364c6e43db0e7c456053f9c1e","observation_id":"3e133c2f-9471-41de-8ef7-c629f71b1092","resolution":{"observed_at":"2026-08-05T16:47:47.430557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:46.814962Z","title":"Flamingo: a visual language model for few-shot learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.814962Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:e229d7d276f7de1feaa29e0fff7d43ed0a52b877e07ea3daf603d125a566f8da","observation_id":"a2c210af-ba09-4750-bf09-2ab72890aaa8","resolution":{"observed_at":"2026-08-05T16:47:46.814962Z","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":"2026-08-05T16:47:47.412960Z","title":"VQA: Visual question answering","venue":null,"work_id":"20605e34-f857-427c-bd68-73ee2a7e0b74","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.817719Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:258305a1842c796d061e0d2218daae279bb753da54bf0c078a068ac4685d5b14","observation_id":"71740ef9-9217-4432-b804-eb1b0e82cddb","resolution":{"observed_at":"2026-08-05T16:47:47.415930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.403953Z","title":"Fair- ness and Machine Learning: Limitations and Opportunities","venue":null,"work_id":"fb47637f-71ba-41a9-9d3a-b8b9a4979b08","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.820303Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:caadacc12fdfec67f461ff3e81968f7350bd9ede90ca7c6717f5b83c3012258e","observation_id":"99639337-8d69-4ade-ab83-ec928676e03e","resolution":{"observed_at":"2026-08-05T16:47:47.407007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.394692Z","title":"A prompt array keeps the bias away: Debiasing vision-language models with adversar- ial learning","venue":null,"work_id":"2ad8e00a-de47-4609-a33c-b7cc91418299","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.823088Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:488f7c32c358ec70ac27afe16bbe1b5d6834f138cbde5625a27d257d751df858","observation_id":"e5b1bc34-8efe-474d-a690-890c8090f34f","resolution":{"observed_at":"2026-08-05T16:47:47.397513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.386571Z","title":"Multimodal datasets: misogyny, pornography, and ma- lignant stereotypes, 2021","venue":null,"work_id":"14ea0862-17ee-4852-9410-41d532d47b0f","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.825685Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:f9bd4aa975c4f64ca2c393db193a08b2202d29acc26d5982f30c68a7f02d35e3","observation_id":"71ceb0d1-9e11-4023-9308-15c6d605d378","resolution":{"observed_at":"2026-08-05T16:47:47.389350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.378654Z","title":"In- structPix2Pix: Learning to follow image editing instructions","venue":null,"work_id":"27fe9579-67ec-4f12-9e7d-acad3ed0b51f","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.828385Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:fb7983d924e09da20d66d8d98ddbd01fb848de1b20471bb0686e440c58cc6439","observation_id":"8774dc7b-787b-4e18-b780-e7562cfc3856","resolution":{"observed_at":"2026-08-05T16:47:47.381305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.370883Z","title":"Evaluating bias and fairness in gender- neutral pretrained vision-and-language models","venue":null,"work_id":"4c21e80a-7907-4c77-9e03-c98e4254c027","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.830728Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:07e4ba1ed76b93b9d611a2c7a552732d4e37e066e3196d941445a3853e0f872a","observation_id":"0dedbf4e-4fa4-41f3-8671-b6b563d5c599","resolution":{"observed_at":"2026-08-05T16:47:47.373460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.363120Z","title":"Microsoft COCO captions: Data collection and evaluation server, 2015","venue":null,"work_id":"85afe7f9-8156-404f-8a65-057f115d41fb","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.833204Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:bfcdc7c67127dd2450217d721299ebbbdd26ab477fbdc54c7651bd4c4a953ea9","observation_id":"3f3b40a7-5d4e-4449-b0aa-2f19b3cd6b3f","resolution":{"observed_at":"2026-08-05T16:47:47.365824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:46.835533Z","title":"Reproducible scal- ing laws for contrastive language-image learning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.835533Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:4d4b49a8066187c5b64b51bb4b431dbd05ab5f4e50a05825a23831b5aa1a4359","observation_id":"0600c703-b863-4379-8415-84bef30e5f66","resolution":{"observed_at":"2026-08-05T16:47:46.835533Z","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":"2026-08-05T16:47:47.349773Z","title":"Debiasing vision-language models via biased prompts, 2023","venue":null,"work_id":"2bf9749a-53ad-431d-b49b-a1cb2ca03389","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.838338Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:371b0097d73c557627e58f9000a409dd250c1020760e40464165fe1250cf43e7","observation_id":"cea08688-2b89-4c14-9eda-2549f6339d92","resolution":{"observed_at":"2026-08-05T16:47:47.352326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.342473Z","title":"Utility-fairness trade-offs and how to find them","venue":null,"work_id":"a5f55074-3990-4eda-b9c1-4b788652d579","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.840848Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:23849f3d1c63ea30518328683b857c8421f602697a264ad98e24b46821bb3498","observation_id":"ddfb0b9b-8d1a-4eff-9ec7-9f8e37a89f69","resolution":{"observed_at":"2026-08-05T16:47:47.344946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.335046Z","title":"FairerCLIP: Debiasing clip’s zero-shot predictions us- ing functions in RKHSs","venue":null,"work_id":"f814e0c9-d4e2-493e-a269-6d3c0d7dd734","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.843393Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:651b3e3d9d78005dd7a38be01ebeae6fd241735f9faa4558b095b8231b28a8fd","observation_id":"2d53ff5b-1b9a-4628-ac91-95de5a41db94","resolution":{"observed_at":"2026-08-05T16:47:47.337563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.327427Z","title":"BERT: Pre-training of deep bidirectional Trans- formers for language understanding","venue":null,"work_id":"a5eab338-e601-447c-82f6-fc57d43616c1","year":2019},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.845877Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:72012447a21dccdc85190c193ac76077c5a4c958435f4c5a0806b590b5909f9f","observation_id":"f36202a8-e94f-4560-940e-d77386da8da0","resolution":{"observed_at":"2026-08-05T16:47:47.330077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.320201Z","title":"From captions to vi- sual concepts and back","venue":null,"work_id":"c1b4c421-d16b-4ccf-87b4-5f04303f1c54","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.848212Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:3130e5d8730d8b1f9eb442a6ebed120d9c6ba705ef16b50a89f73b2cc0a7150f","observation_id":"aac3223f-945d-41ff-b46f-561a1f84f088","resolution":{"observed_at":"2026-08-05T16:47:47.322634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.312637Z","title":"Certifying and removing disparate impact","venue":null,"work_id":"be868638-1614-4def-8323-50c4ef5c5266","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.850550Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:bebac49c1eed561fa89704895e6e7727a437f547c30191f92dfa0d9d7c366047","observation_id":"0e99166c-7f2a-4ecf-8640-f7464b95db92","resolution":{"observed_at":"2026-08-05T16:47:47.315265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.305310Z","title":"Interpreting CLIP’s image representation via text-based de- composition","venue":null,"work_id":"4e2df4ec-58df-4597-ba1e-6ca6ffbcddd8","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.852805Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ef278390fd8bc43ef8870ab7d793921e61366b1e0270e5c48d60dd03154bd25f","observation_id":"52c0b791-776b-49c6-ba28-a5df8a7733de","resolution":{"observed_at":"2026-08-05T16:47:47.307883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.297652Z","title":"Uncurated image-text datasets: Shedding light on demographic bias","venue":null,"work_id":"4b4eda94-811d-4898-8e2a-ffecf7f614e5","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.855081Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:63ecf3fde0b18b53f36ebbfea8cb0744f7e8bcb3b0c924a612706e5b990c63e6","observation_id":"336c171b-8de3-4792-91a8-e95e94d0f06e","resolution":{"observed_at":"2026-08-05T16:47:47.300371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.290128Z","title":"Fairness-aware ranking in search & recommendation systems with application to linkedin talent search","venue":null,"work_id":"d87f6e3a-007e-4ba3-803f-2f9a42e7c743","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.857722Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:98b270590836a66f67c87a2d9b139e802fbaec8eb0a665717b838ab6a59d65c4","observation_id":"4b586c46-57a0-417a-8e22-94a708f38413","resolution":{"observed_at":"2026-08-05T16:47:47.292933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.282978Z","title":"Biases propagate in encoder-based vision- language models: A systematic analysis from intrinsic mea- sures to zero-shot retrieval outcomes, 2025","venue":null,"work_id":"2fdabc9b-2264-47c8-9dcc-e32375d64789","year":2025},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.860249Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:d115f4b406e0152385f9ff3b1f7d48daf94c77ccabcf4f39c56cbcc40471a7ab","observation_id":"0f3cbe6e-8336-40c3-898f-93164b88fbbe","resolution":{"observed_at":"2026-08-05T16:47:47.285530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.275219Z","title":"Making the V in VQA matter: El- evating the role of image understanding in visual question answering","venue":null,"work_id":"be817afa-d82d-484a-a983-27e28f735f04","year":2017},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.862737Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:1e2470d1bdfef48bcec3a18be2fc3ef421c01bca033ae3fd239428ebc5f6707d","observation_id":"ce3913d7-0f22-4120-880e-089db377952d","resolution":{"observed_at":"2026-08-05T16:47:47.277747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.268034Z","title":"Equality of op- portunity in supervised learning","venue":null,"work_id":"16d8af43-2fc1-4fed-8e26-d34fc1fd22b0","year":2016},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.864995Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:152b3378f3b4573ea115f5c82c380d3e651571505e60d3244f19201f09bf40a8","observation_id":"daa16c0f-fa37-4cf6-8984-3c8c977a40c0","resolution":{"observed_at":"2026-08-05T16:47:47.270551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.260765Z","title":"The bias of harmful label associations in vision- language models","venue":null,"work_id":"b14ce601-b4ec-4cad-b847-514711482626","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.867361Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ae2d8daf742b91011c61ebc7a40497d08e5e5f76e1844bd202144f04e3af6ffa","observation_id":"393fc66a-3ae0-420e-a420-afdad91f334d","resolution":{"observed_at":"2026-08-05T16:47:47.263333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.253463Z","title":"Gaussian Error Linear Units (GELUs), 2023","venue":null,"work_id":"347941ab-95e5-46ca-8c97-9fa247d89128","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.869628Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:0aec68a089121453f69e0d1607f2c575a3bd1d45c5d8c044948a0f13d8358ecf","observation_id":"df98b082-6df4-4bc0-ac08-32ef05885133","resolution":{"observed_at":"2026-08-05T16:47:47.255907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.246081Z","title":"Quantify- ing societal bias amplification in image captioning","venue":null,"work_id":"f4a1c847-2ddf-4f05-9409-db2f4d5d2524","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.871928Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:a824b4e09918364c09dd85925fe288734526cd24924c2f7c8fc2aa5e0140d3ed","observation_id":"482dd66d-5cb9-4eac-b5d9-f9fec20e3609","resolution":{"observed_at":"2026-08-05T16:47:47.248722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.238848Z","title":"GQA: A new dataset for real-world visual reasoning and compositional question answering","venue":null,"work_id":"c8ff36ed-37e9-45d5-a178-80ff67c38bda","year":2019},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.874574Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:788c846aef2b2aaf3c29a870aa9b7a6f1f973d5d080a2517ea7827c0555de28f","observation_id":"8158f9e1-7767-4a10-8518-9f64f770051f","resolution":{"observed_at":"2026-08-05T16:47:47.241433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.231693Z","title":"FairFace: Face at- tribute dataset for balanced race, gender, and age for bias measurement and mitigation","venue":null,"work_id":"bf689f39-b66a-435f-bffe-fbe16d9c79c1","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.876914Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ed826c0ca99dc6e8fa97f7926863f47cd37c79c9de8f66c655c7073b7b8020e2","observation_id":"6e0df9da-d74c-44d6-8c59-1d983f5762c3","resolution":{"observed_at":"2026-08-05T16:47:47.234166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.224509Z","title":"Deep visual-semantic align- ments for generating image descriptions","venue":null,"work_id":"41e57c36-89e4-441d-9c9f-7208d37b10c0","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.879241Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ae01b836a7c1c88a43992dfa4e58d32ee34aa8585e5ecacb8079be53d31de85a","observation_id":"d29e842d-70e6-4bd1-a766-68b945fda4a0","resolution":{"observed_at":"2026-08-05T16:47:47.227078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.216908Z","title":"Microsoft COCO: Common objects in context","venue":null,"work_id":"ae16ddd2-198b-46f1-ada1-5739f49930b3","year":2014},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.881653Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:2868d2ef1bad374a0719c022aa03f47d16f5e01c33a2b0a707e8d31f9909ff42","observation_id":"cdda01af-37d2-40ef-8495-51839d8db0c2","resolution":{"observed_at":"2026-08-05T16:47:47.219622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.209874Z","title":"Visual instruction tuning","venue":null,"work_id":"2079bc7a-4dee-46db-8ff2-025f363a81be","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.884112Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:6c57a528c294c7f3b6f51f341e2e0e240e5b101340e056f091c4b2b084b16540","observation_id":"c9839df6-374b-438f-9b2b-de07249f2f5c","resolution":{"observed_at":"2026-08-05T16:47:47.212210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.202699Z","title":"Learning adversarially fair and transferable represen- tations","venue":null,"work_id":"718a8ec2-89cc-40dd-9659-3a653188db80","year":2018},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.886364Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:e86c18db2a27fb06a0e998970235f7108bd65104a8a9455c050c9f73e09b6f7e","observation_id":"14e920ba-30a8-4728-a1c0-049ea330a4c6","resolution":{"observed_at":"2026-08-05T16:47:47.205202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.195271Z","title":"Gen- der bias in multimodal models: A transnational feminist ap- proach considering geographical region and culture, 2023","venue":null,"work_id":"39af9a10-702f-47d2-9b14-8736a5e0b271","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.888651Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ff1daab90b958fd3a723ab1b4a0265ae48231562aa027d3e970fc52e6a7b4ea5","observation_id":"380d6538-3060-47b0-92bc-0c455d7399bd","resolution":{"observed_at":"2026-08-05T16:47:47.197770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.187923Z","title":"OK-VQA: A visual question answering benchmark requiring external knowledge","venue":null,"work_id":"37bf6020-8f75-4f8e-b967-256f0da9efc4","year":2019},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.891021Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:f4edf2d98e4e62eac36fa2f82fcec7753a085833cc080e62c79acb8c28309eb9","observation_id":"9e7c0e71-6e73-4753-993d-3d0679d6c8a0","resolution":{"observed_at":"2026-08-05T16:47:47.190548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.180646Z","title":"Provably fair representations, 2017","venue":null,"work_id":"c480d163-9b94-44d2-a36a-78cb934ef8b3","year":2017},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.893411Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:a8a214dc425efa792f6db4dc48a6fe4b94c3680be2a81dd4d68064605437eccd","observation_id":"0649812d-b35b-4503-b450-067c716e6ed9","resolution":{"observed_at":"2026-08-05T16:47:47.183183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.173510Z","title":"Gender arti- facts in visual datasets","venue":null,"work_id":"4e2bf772-7c00-48fc-ae3c-f7cc2dcd43c5","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.895770Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:c37cd2046f8736fe371c07155aa53920b3b63f196780174fc2879c0af56348f2","observation_id":"ce6a9334-581a-49cb-81d5-59fd2178cc37","resolution":{"observed_at":"2026-08-05T16:47:47.176054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.166267Z","title":"Null-text inversion for editing real images using guided diffusion models","venue":null,"work_id":"0f23339b-2bcf-4039-ab84-8180ed6afdb5","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.898150Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:bb27d346730e78287247a437f40b2c5b61a32e7727b3a4af48bd6a344a700569","observation_id":"d349c7cc-550f-4c3a-8598-2ffbe60609df","resolution":{"observed_at":"2026-08-05T16:47:47.168845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.158406Z","title":"Im2Text: Describing images using 1 million captioned pho- tographs","venue":null,"work_id":"00215197-a598-4341-9142-9378590be546","year":2011},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.900578Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:31e13382d4681ce889c4faeabe3683a8d377924f99d89a292bcc531abce65622","observation_id":"4376dec1-1e26-4df4-a12b-d461059a0845","resolution":{"observed_at":"2026-08-05T16:47:47.161039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.150965Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"6b08cd22-3dac-42d1-9d6d-f7cc7137d63f","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.902967Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:b439da638d9a8a072e43e70f80522aa7f88006b71faaac7f09ea10f736c964ea","observation_id":"30f972d7-441e-4b9e-b97d-e7db6d63313f","resolution":{"observed_at":"2026-08-05T16:47:47.153445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.143471Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":"0c5ef278-ee5b-4329-b20c-73d9f76fb478","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.905321Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:91c6acb58c38aaf52be3441d707fc49007af01116a42b37551d21f28d8063c23","observation_id":"de70d587-d9c1-4313-87f4-33f1a512f1f1","resolution":{"observed_at":"2026-08-05T16:47:47.145991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.135811Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"66da76de-b131-45e3-968e-a41c6ef15125","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.907967Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:94bddd73a684bd2b2ea6789d58367d5558cd717e1853343fb9bbc2a8b9aa07e7","observation_id":"401ec320-c01c-4229-b811-142ffee67daf","resolution":{"observed_at":"2026-08-05T16:47:47.138567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.128118Z","title":"Distributionally robust neural networks for group shifts: On the importance of regularization for worst- case generalization","venue":null,"work_id":"abc9c9a5-4492-450d-b6e8-20505b53508c","year":2020},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.910213Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:deb178d1ed18cf71a04b322ce5071206634a25c46f9576e8e62e35516e000aa7","observation_id":"4e22c348-e71e-491f-90c1-9b61e1567584","resolution":{"observed_at":"2026-08-05T16:47:47.130829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.120318Z","title":"LAION-5B: An open large-scale dataset for train- ing next generation image-text models","venue":null,"work_id":"556c7179-9256-4ac1-bdd6-13fe3daa8189","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.912602Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:d36fe8c0d429043ba15f12b7017d9d08df049e6ea8d4c34e7aaf81c9980246a4","observation_id":"1f1ddd3a-2cb9-41d2-9398-1bcc328a8c9f","resolution":{"observed_at":"2026-08-05T16:47:47.123157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.113108Z","title":"A-OKVQA: A benchmark for visual question answering using world knowl- edge","venue":null,"work_id":"12df9bca-3d02-4173-9de0-e664db632963","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.914864Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:0f9152d8fb4b2e900a9ac43968d1f731d028769e9a4e78dc7a099e4e41c301e2","observation_id":"476c0974-b09c-4dbf-9e4e-e4ca76d27417","resolution":{"observed_at":"2026-08-05T16:47:47.115648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.105655Z","title":"Conceptual Captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning","venue":null,"work_id":"0b375837-866c-406d-aaf8-58305f36fe10","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.917217Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:e5a89444ead80ee01bbffeb6576887a72b6e31c93e9368b761293ecb2efa449c","observation_id":"7003d940-ccb7-418a-8d26-6f2050e967fc","resolution":{"observed_at":"2026-08-05T16:47:47.108235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.097799Z","title":"Fair representation: guaranteeing approximate multiple group fairness for unknown tasks","venue":null,"work_id":"742ca9e6-a2b8-4c82-b31a-dac6ae68b2ac","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.919926Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:896305a7b62869f601377040ca96d788119a8290093f5c192a95b22a1057dc50","observation_id":"e8b0c10c-6118-474f-af8c-cfae591df915","resolution":{"observed_at":"2026-08-05T16:47:47.100653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.090377Z","title":"Towards VQA models that can read","venue":null,"work_id":"8ace20cd-10a0-462d-91fe-09bc96518ebe","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.922178Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:633663cc4e0a911096b1a540722a452b78cfaa019deb1a6ab6a73fb997360fe6","observation_id":"433bf8be-ce38-485a-b633-c22b7ef8edcb","resolution":{"observed_at":"2026-08-05T16:47:47.092979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.082570Z","title":"Upstream mitigation is not all you need: Testing the bias transfer hypothesis in pre-trained language models","venue":null,"work_id":"35544526-4bb3-4412-af75-d98ce50d73f1","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.924576Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:4a2b102e676d43601f90a1f4a83000c7d72ceaa5bacff97edbfd0aa81f016824","observation_id":"31131a89-1534-44a8-93f5-d70e320ee32e","resolution":{"observed_at":"2026-08-05T16:47:47.085237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.075255Z","title":"CIDEr: Consensus-based image description evalu- ation","venue":null,"work_id":"22e96219-a4e2-4252-9c81-130b09f7f87a","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.926925Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:4512d1e54b9bc58e0f18473ae201a07d547aa2229b36df51bb27a3f2a6f34be3","observation_id":"add17087-f930-49bc-b009-e464596feacf","resolution":{"observed_at":"2026-08-05T16:47:47.077721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.067968Z","title":"Show and tell: A neural image caption gen- erator","venue":null,"work_id":"03d16cfb-4e36-456e-b31b-1c6d1bf17974","year":2015},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.929167Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:b5076af056e0bdcadf081d07a430f6d7158c4e3a96a86f4c8287ae3771a0b64b","observation_id":"9f6bb619-536f-49f5-acb9-0025e53a0139","resolution":{"observed_at":"2026-08-05T16:47:47.070599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.060072Z","title":"Directional bias am- plification","venue":null,"work_id":"b9e2e553-2893-4c1d-b9ba-58d1e57c9c70","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.931474Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:e021a6c7837913dfffeaad395a0fef353812504395f4d880913e76ca031621dd","observation_id":"2f5bec65-c783-4f24-9d43-11e7364657c7","resolution":{"observed_at":"2026-08-05T16:47:47.062905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.052395Z","title":"Overwriting pre- trained bias with finetuning data","venue":null,"work_id":"16bfb131-68b1-482d-ad85-50b66774dbca","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.933796Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:744951b268318f6a86e598c4d2cdf66ba0da1b01cf71effb060700ab40a494dc","observation_id":"04e7bd17-2829-4a1f-bced-f6c423e54be1","resolution":{"observed_at":"2026-08-05T16:47:47.055078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.044537Z","title":"Are gender-neutral queries really gender-neutral? Mitigating gender bias in im- age search","venue":null,"work_id":"778009ba-ba75-4966-8b6b-4aa30546b3f6","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.936010Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ed3d1675852757a59ef9d0c285df0c7b17f8025f84d110b17d5d876442167e0b","observation_id":"56a2476c-0dd4-405b-b9e4-80dae31b9f20","resolution":{"observed_at":"2026-08-05T16:47:47.047346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.036803Z","title":"American == white in multimodal language-and-image AI","venue":null,"work_id":"130c875e-1082-4f7b-9d90-a7d4b29b77f6","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.938429Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:42c7536eb697ad788bc41971193fe7bbf957726e91350ee39562d1c6c8ccc882","observation_id":"014ec216-63e4-4bbe-9ba5-347dbbcae806","resolution":{"observed_at":"2026-08-05T16:47:47.039433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.028652Z","title":"Markedness in visual se- mantic AI","venue":null,"work_id":"2238d172-aca0-4fc2-b39d-35a83370cc92","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.940819Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:3612829156f992cedde7b24ad131ed5ecd132a2d17fd66ae61ee79694e002d98","observation_id":"1598465a-63b3-486c-a4a2-c99fbecc4a14","resolution":{"observed_at":"2026-08-05T16:47:47.031744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.020113Z","title":"Contrastive language-vision AI models pretrained on web- scraped multimodal data exhibit sexual objectification bias","venue":null,"work_id":"ff48268c-00af-434d-ad44-d077e105fae5","year":2023},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.943089Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:ec6e4f3abacb73ec63aefb8f686a2bc3060bc6ca0229aa37fff07eb6dec464d2","observation_id":"90080e4b-ed35-4d91-8bc0-b72190c83a88","resolution":{"observed_at":"2026-08-05T16:47:47.023160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.011785Z","title":"mPLUG-Owl: Modularization empowers large language models with multimodality, 2024","venue":null,"work_id":"409f1f62-aed2-4f9a-8cd3-12d6ec25e40d","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.945425Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:7a93823c527a0609e60b8d21d8765957aa9266ed7e886c894e57c75760188eeb","observation_id":"a2211749-b27b-421e-bffd-0f69625e3673","resolution":{"observed_at":"2026-08-05T16:47:47.014520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:47.004171Z","title":"Yi: Open foundation models by 01.ai,","venue":null,"work_id":"88cefe2d-960e-411a-b7ad-4bb8954342bb","year":null},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.947777Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:14fd7844a6318fba7213520372066f26f2247a62a761a2b58305418cdf7fe974","observation_id":"f06629ae-b66b-4b42-b391-db17f95c6172","resolution":{"observed_at":"2026-08-05T16:47:47.006707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:46.995942Z","title":"Under- standing and evaluating racial biases in image captioning","venue":null,"work_id":"fb5497a4-bf8e-4f2b-aa92-5f2e36cf3de6","year":2021},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.950153Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:e14af9c58f616b328c2f5e96fb4f29e68bffaf651a4166ad1945dc1d34441f51","observation_id":"ac4ebf09-1c89-42a5-9531-014b6f306bd7","resolution":{"observed_at":"2026-08-05T16:47:46.998789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:46.987998Z","title":"Inherent tradeoffs in learning fair representations","venue":null,"work_id":"a99b91f3-c4aa-4e4e-9a08-333942ab78da","year":2022},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.952491Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:038d00ff671243aa79b5a906a319fb162c756b1cec7b375a45ded03759dc9023","observation_id":"ccb5eeb6-6347-405d-903c-de2480ce0250","resolution":{"observed_at":"2026-08-05T16:47:46.990715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-05T16:47:46.977707Z","title":"TinyLLaV A: A framework of small-scale large multimodal models, 2024","venue":null,"work_id":"84a20c3e-b094-40a4-9ce6-da2a9f1b22af","year":2024},"citing_paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T16:47:46.954911Z"},"links":{"citing_paper":"/paper/2508.17751"},"observation_digest":"sha256:6d2071aef2cf047c702152d4425ea2483a8948799059a8629f69b031d40a7ce3","observation_id":"2cb315d0-520e-4bf3-b7b8-30879cf7acf5","resolution":{"observed_at":"2026-08-05T16:47:46.982341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.17751","last_updated":"2025-08-25T07:44:35Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T01:19:17.047012Z","submitted_at":"2025-08-25T07:44:35Z","title":"Multi-layer Abstraction for Nested Generation of Options (MANGO) in Hierarchical Reinforcement Learning"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":59},"total_outbound_references":61},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2508.17751."}