{"as_of":"2026-08-10T13:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f8d43fa43bec42d1cc63b92fa7b4665f03d7c3fe438463562da01d0f14091e96","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:34:42.047774Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.10472/citation-record","integrity":"/paper/2507.10472/integrity","json":"/paper/2507.10472/citation-record.json","paper":"/paper/2507.10472"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.451897Z","title":"The impact of business process management and applicant tracking systems on recruiting process per- formance: an empirical study,","venue":null,"work_id":"57e84f9b-450a-4c5e-8aa2-2548febae101","year":2015},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.933956Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:8af905af5804002c618da3a3cd60cc91397369fcc3610f2b21864ccfeb297f27","observation_id":"bb92a13d-7c6c-4408-af69-0c5d0f65d4e4","resolution":{"observed_at":"2026-08-06T17:34:42.457248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1742-6596/1427/1/012008","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A structured approach to implementing robotic process automation in hr,","venue":"Journal of Physics Conference Series","work_id":"4db55586-b44e-4be3-bcbd-9faa92544cc1","year":2020},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.939052Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:b6495367ea0efc7c8e563e07370a39a866d7416ac9f1f9374083c74a6011384a","observation_id":"801d1ef3-e973-4184-932d-e73aba56c307","resolution":{"observed_at":"2026-08-06T17:34:42.099566Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:41.944769Z","title":"Robotic process automation for recruitment process,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.944769Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:d72f5bfd08fadbb42507dc1f2a26855651f1ca23f46acf44180b5e941603dc24","observation_id":"aa62d233-17e7-477a-9fac-b7472b384479","resolution":{"observed_at":"2026-08-06T17:34:41.944769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:41.949586Z","title":"A survey on hr process automation: Trends, technologies, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.949586Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:c9b55179bebf2efde7e1d50881f76771e9ffa33799c5c7890ced66a2ee80ad1a","observation_id":"e805309c-2742-4da7-9cfa-5559ccc31a3a","resolution":{"observed_at":"2026-08-06T17:34:41.949586Z","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":"2026-08-06T17:34:42.413487Z","title":"Robotic process automation for resume processing system,","venue":null,"work_id":"f411ddec-b053-4fc4-a307-9cbdfb6f4309","year":2021},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.954464Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:5d27fc3d179cf21257a8a2762aa631e618ff732ad3f8d5d8e0e699c34d3b04b5","observation_id":"5345ffdb-67a3-497d-ac18-e08e31ba25e3","resolution":{"observed_at":"2026-08-06T17:34:42.419321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:41.959675Z","title":"A deep learning bert- based approach to person-job fit in talent recruitment,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.959675Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:694c67128a54032383b93933b595ea234c7ba562364ac94afd0043d049776f87","observation_id":"7d2c9339-0a17-47f0-9025-f7b93d523d8c","resolution":{"observed_at":"2026-08-06T17:34:41.959675Z","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":"2026-08-06T17:34:42.384886Z","title":"Prospectcv: Llm-based advanced cv-jd evaluation platform,","venue":null,"work_id":"928d03b9-f169-44e5-8706-0f124acdcf18","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.965247Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:64a0c03352087483a968289739e32cd59cae81582dd7a47c121e8379ba4fb268","observation_id":"64751ad3-51d4-4b33-8afb-3e929d18ff3f","resolution":{"observed_at":"2026-08-06T17:34:42.390127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.368220Z","title":"Integration of artificial intelligence and robotic process automation: Literature review and proposal for a sustainable model,","venue":null,"work_id":"3ceba956-f2c8-4bb5-a1cd-b9e22cd13976","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.971418Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:aa6e12dc2e659b4f92b72d4bfce42e545657d403c555d50f12ab7c2fbdaad992","observation_id":"1bf2e4e4-2df2-411d-82b3-3a9240612f73","resolution":{"observed_at":"2026-08-06T17:34:42.374331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.350704Z","title":"Combining robotic process automation with artificial intelligence: Applications, terminology, benefits, and chal- lenges,","venue":null,"work_id":"023f40da-0b80-4570-8db3-007cec0c6ccf","year":2023},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.976549Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:9f9ec3df5e8903d6a8a8653017e3f07eac509c8dc9ed3f6be3f7e1de031cdc75","observation_id":"ed62e8e9-a35a-4b66-8a5e-f48bda0698a8","resolution":{"observed_at":"2026-08-06T17:34:42.356461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.333350Z","title":"Automated applicant ranking using hybrid nlp and machine learning techniques,","venue":null,"work_id":"d767fcb6-fa1d-4472-8da3-256c1937ff43","year":2021},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.981331Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:7d4c8fde8ae8de1bc8dd525cf89a0eaade47e1ac991c1563ff71176d5166b5bf","observation_id":"c4b5cde7-35e6-4107-a5ac-ffbb356a19bc","resolution":{"observed_at":"2026-08-06T17:34:42.338422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.315828Z","title":"Bajzikova and T","venue":null,"work_id":"b632df41-8608-4d08-9f9b-92ed2050f3e0","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.987050Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:4bf68b35468b0b0c13df988071490009f0a073d2a17cf687b423027c296ac0cd","observation_id":"3c7ab17b-bfe2-4a58-a69d-a96cecb8eb1f","resolution":{"observed_at":"2026-08-06T17:34:42.321581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18113","last_updated":"2025-06-26T06:33:55Z","snapshot_observed_at":"2026-07-06T18:21:18.150567Z","submitted_at":"2024-05-28T12:23:16Z","title":"MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18113","snapshot_observed_at":"2026-08-06T17:34:41.992176Z","title":"Facilitating multi-role and multi-behavior collaboration of large language models for online job seeking and recruiting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.992176Z"},"links":{"cited_paper":"/paper/2405.18113","citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:da5b37e020ef01f0e6a09dc7869149df7448fe57beb98b0fef22b758208f65bd","observation_id":"92ee4b11-e11e-435e-b294-9a73fa4282d2","resolution":{"observed_at":"2026-08-06T17:34:41.992176Z","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":"2026-08-06T17:34:42.297571Z","title":"Explainable rpa in hr: Integrating xai methods to enhance transparency in automated talent acquisition,","venue":null,"work_id":"ead58c64-4372-4821-8038-ca8a84fcfb81","year":2023},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:41.997196Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:a0ac340f058763272bc119a9550082b26f267c06b884d104a7dcd6fa527f7926","observation_id":"ae1c9349-8387-4646-86b3-749b6fb61f63","resolution":{"observed_at":"2026-08-06T17:34:42.303588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.278806Z","title":"Ats 2.0: Leveraging large language models for bias mitigation in automated hiring,","venue":null,"work_id":"fb325b97-e117-4b57-b0f1-c534263bf87f","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.002956Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:10d5ecf74f964b2c01202b63bc521bdfa44976e64dc8e70a4d33a0584d7b85b4","observation_id":"6428c5b7-cb12-4101-bf54-d57cb5fdcf48","resolution":{"observed_at":"2026-08-06T17:34:42.284271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.260245Z","title":"Robotic process automation: Contemporary themes and challenges,","venue":null,"work_id":"340e0e65-b2cb-4316-8e99-cacf641ee4e8","year":2020},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.007718Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:a681354ae6b6856b11250868d095fe0d71c8644e8d9d504dcc728fa0df0938a2","observation_id":"23ac011d-9c4c-41e2-bc9f-6b5df5a9538c","resolution":{"observed_at":"2026-08-06T17:34:42.267155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.237597Z","title":"Resume dataset,","venue":null,"work_id":"8a5edcec-b1cc-4546-b1c5-a46e22c0e6a3","year":2021},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.014909Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:c0f0bd58dc18af15acfb229a6c29169c0df94f14a014be786083b81579b05360","observation_id":"e831b6ea-8e33-433a-831a-84a255879aac","resolution":{"observed_at":"2026-08-06T17:34:42.243308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08315","last_updated":"2024-08-13T04:50:43Z","snapshot_observed_at":"2026-07-06T17:16:08.962172Z","submitted_at":"2024-01-16T12:30:56Z","title":"Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08315","snapshot_observed_at":"2026-08-06T17:34:42.022864Z","title":"Application of llm agents in recruitment: A novel framework for resume screening,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.022864Z"},"links":{"cited_paper":"/paper/2401.08315","citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:9bc73f699322828dd45f9a1d2871dd1644044a064a2b15d50bf42d4be0c62ad1","observation_id":"789f2226-b47f-4778-b1cd-2733e5e90215","resolution":{"observed_at":"2026-08-06T17:34:42.022864Z","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":"2026-08-06T17:34:42.218597Z","title":"Semantic matching of resumes and job descriptions using large-scale generative pre-trained transformers,","venue":null,"work_id":"1c0f42bd-bca5-42a7-b2e9-a64e6c8758cf","year":2023},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.029541Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:dc826fbcfc26ff053263060ace5aacc14122ed7fc635ee82666aadc491665dc4","observation_id":"9e9d2ee2-15be-45bb-82fb-2b911b1e0b1d","resolution":{"observed_at":"2026-08-06T17:34:42.225357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.198271Z","title":"Uipath - automation platform for rpa,","venue":null,"work_id":"7a69b053-54f3-4735-9a94-c43e94d3032b","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.034844Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:4307957c3173cbf7db34502b51ed087aa20082e1c3bbd1fb6d7fc67486cd7a31","observation_id":"f73bca7b-c448-4fb5-a847-69c24bb2438b","resolution":{"observed_at":"2026-08-06T17:34:42.204533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.181008Z","title":"Automation anywhere - rpa software used for ats,","venue":null,"work_id":"ad0db039-c83f-4b3c-9f85-1c05410ef8d7","year":2024},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.041428Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:dec717c23f274f1028096f26533942e3a14b3bf0cf4f14aecbf833a99a90e7c6","observation_id":"416faa37-aba7-4df3-8659-06ceac186855","resolution":{"observed_at":"2026-08-06T17:34:42.186621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:34:42.162945Z","title":"Identifying candidate tasks for robotic process automation in textual process descriptions,","venue":null,"work_id":"139cf9e6-6d16-460e-ae3a-c1309f98f64e","year":2018},"citing_paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:34:42.047774Z"},"links":{"citing_paper":"/paper/2507.10472"},"observation_digest":"sha256:013e404259d156c258ef439283a3f80d4afb65df10fdfd3c3a2373fcd066400f","observation_id":"d2d8add1-a0c8-418c-a10c-06e8f6739512","resolution":{"observed_at":"2026-08-06T17:34:42.168958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.10472","last_updated":"2025-07-14T16:53:19Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T00:54:24.217051Z","submitted_at":"2025-07-14T16:53:19Z","title":"MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":15},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.10472."}