{"as_of":"2026-08-08T20:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6fd096095e046f7107a4bb3b00bf2fcb155bd691b8bf6b521d1a1318a273e65f","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:01:16.724642Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2509.03565/citation-record","integrity":"/paper/2509.03565/integrity","json":"/paper/2509.03565/citation-record.json","paper":"/paper/2509.03565"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:12.793407Z","title":"Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:12.793407Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:63d905023d510a9b19711651c16a5e775c88065759f7e7ff8dc48de04ad46c89","observation_id":"418508c9-66ef-43cf-a72d-b38d5147cbe2","resolution":{"observed_at":"2026-08-05T11:01:12.793407Z","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":"2026-08-05T11:01:18.067842Z","title":"Simvpv2: Towards simple yet powerful spatiotemporal predictive learning.IEEE Transactions on Multimedia, 2025","venue":null,"work_id":"0fffb82d-3ea8-46c7-bd9a-eb5d05cc6f2e","year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:12.839766Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:446086a1d66641d02158e14b565765ddbec93bcda18cc971ee64c1c1a252664a","observation_id":"67a96760-50ac-4e65-92e5-ceaa0135217d","resolution":{"observed_at":"2026-08-05T11:01:18.075779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:18.044894Z","title":"Openstl: A comprehensive benchmark of spatio- temporal predictive learning","venue":null,"work_id":"51c258fa-089f-47b7-9aa6-8f8a148c14eb","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:12.926040Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:4d937eabe187dff132ac4a1e7df2089f09e4f4ebf19efd102e9fd658edf0d1fc","observation_id":"524ce4e0-d07b-4276-8393-35846c951fde","resolution":{"observed_at":"2026-08-05T11:01:18.051231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:18.004741Z","title":"Peek across: Improving multi-document modeling via cross-document question- answering","venue":null,"work_id":"23e94cdc-c497-4396-a404-60ec1e248b71","year":1970},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.001296Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:d5f911c8ec27ce6b2100377cfff4d2f465dd383902a3166fef4606dc2ae3a95c","observation_id":"ea5fb69d-77e6-4e71-bd2d-22b10bad14f3","resolution":{"observed_at":"2026-08-05T11:01:18.022327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.979943Z","title":"Compressed heterogeneous graph for abstractive multi-document summarization","venue":null,"work_id":"ff24a561-08b7-431a-bc12-a361937eec62","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.096139Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:778691bb6a55aff25efbee6c9729e4baf9197dda51162a2f75adc8f88b32cfa0","observation_id":"689f15e7-e7c1-49f9-bfe3-461b97933cf8","resolution":{"observed_at":"2026-08-05T11:01:17.991813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.951903Z","title":"Structvrm: Aligning multimodal reasoning with structured and verifiable reward models, 2025","venue":null,"work_id":"cbb7f4f7-f1a9-4cee-8ad7-d2dc7cc17b40","year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.220481Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:2c6c67f986b7046eb2c7beb9070c7e869aae732996cbd648e9251e0234913089","observation_id":"be4360db-1e3f-4725-a547-2ac70e36daf9","resolution":{"observed_at":"2026-08-05T11:01:17.961336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.919876Z","title":"Text summarization with pretrained encoders","venue":null,"work_id":"4d11746c-8d8a-40a9-bdbd-ff64ca9856a9","year":2019},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.310968Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:5baadf9b5838a12f9bfa46369427b39a46b50c5842757932bf3f5c5ca94f1e21","observation_id":"947e3546-7c4a-482b-a755-efe21e11c16b","resolution":{"observed_at":"2026-08-05T11:01:17.926369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.879889Z","title":"Long-span summarization via local attention and content selection","venue":null,"work_id":"d5b9e0e1-4558-4342-a728-102d84ee7ae0","year":2021},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.365364Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:fc36fc53de60f765fd80e0dfd8fcd4631bd5e3eb0819a884d18dc3f24aad4ecd","observation_id":"62865f59-779c-40d8-8e9f-0ebeebc5b6a8","resolution":{"observed_at":"2026-08-05T11:01:17.893644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.859577Z","title":"Hegel: Hypergraph transformer for long document summarization","venue":null,"work_id":"6d14a610-3754-4158-bcc3-455bdd84eb93","year":2022},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.437754Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:b1c8166d743cf79c040303b589a89e587bb201c3affc810a83d1c376e4dc48f0","observation_id":"192a074b-46ce-45fb-a4d9-a204b7fee649","resolution":{"observed_at":"2026-08-05T11:01:17.866398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.834809Z","title":"Hierarchical attention graph for scientific document summarization in global and local level","venue":null,"work_id":"cc3efe39-49ee-498e-93e5-47c24578daf9","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.556064Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:7682b1de6e6baf511106054d057a01c8512a90544e445eff524fc8ae2263ffad","observation_id":"68490897-0de6-4c98-b653-43c6ba794e2e","resolution":{"observed_at":"2026-08-05T11:01:17.841854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04580","last_updated":"2023-02-09T11:42:07Z","snapshot_observed_at":"2026-08-03T18:48:59.484824Z","submitted_at":"2023-02-09T11:42:07Z","title":"Generating a Structured Summary of Numerous Academic Papers: Dataset and Method","version":1},"cited_work":{"arxiv_id":"2302.04580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.04580","snapshot_observed_at":"2026-08-05T11:01:17.311849Z","title":"Generating a Structured Summary of Numerous Academic Papers: Dataset and Method","venue":"cs.CL","work_id":"4c80c8ae-c3a1-4e96-9605-0352260b038d","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.648524Z"},"links":{"cited_paper":"/paper/2302.04580","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:cbb1a4d23cebacc91a2eaafbda4419e2d244a1b24616badbaaf38f6df9ac7984","observation_id":"a9419d92-5cad-4506-9241-d1f649abd549","resolution":{"observed_at":"2026-08-05T11:01:17.319277Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.818463Z","title":"Chime: Llm-assisted hierarchical organization of scientific studies for literature review support","venue":null,"work_id":"4123ca36-e397-454c-bf59-0eac8b0da215","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.704636Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:791b0d25777f485e41767382c6a62c992cd6a96cf8d18cd88a981a6e4ff24fe4","observation_id":"43b8ff66-fb6e-4a61-8644-a83204bf18a2","resolution":{"observed_at":"2026-08-05T11:01:17.823087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.804082Z","title":"Autosurvey: Large language models can automatically write surveys","venue":null,"work_id":"4eafe9ac-ca7c-4585-8f98-3e19d6c5e870","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.795163Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:7f9a6b3e7c7e13058e0d061461016770e93c4d23249e2178ca8ffa6ec29cf39c","observation_id":"ec854a7c-df28-47cb-9c3c-71a76de0a1e0","resolution":{"observed_at":"2026-08-05T11:01:17.808547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14776","last_updated":"2025-02-27T06:30:11Z","snapshot_observed_at":"2026-08-07T18:01:14.512854Z","submitted_at":"2025-02-20T17:59:45Z","title":"SurveyX: Academic Survey Automation via Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14776","snapshot_observed_at":"2026-08-05T11:01:13.864438Z","title":"Surveyx: Academic survey automation via large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.864438Z"},"links":{"cited_paper":"/paper/2502.14776","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:81db97253a9c7536aee9e4a76dd46ba20bf616d7153f8de6c2883b2b331d55fc","observation_id":"8f8968c3-62cc-44df-813b-0e80ae1df912","resolution":{"observed_at":"2026-08-05T11:01:13.864438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03916","last_updated":"2025-04-09T16:27:02Z","snapshot_observed_at":"2026-07-06T20:17:43.203959Z","submitted_at":"2025-01-07T16:31:10Z","title":"Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03916","snapshot_observed_at":"2026-08-05T11:01:13.955862Z","title":"Dolphin: Closed-loop open-ended auto-research through thinking, practice, and feedback","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:13.955862Z"},"links":{"cited_paper":"/paper/2501.03916","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:5f8b4ba41d043c9ee71162579cab4eba36bb71a99ffc22aaec6dd6d0202d6ea4","observation_id":"17c57236-a69a-49ea-b425-742bb786e7cf","resolution":{"observed_at":"2026-08-05T11:01:13.955862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07738","last_updated":"2025-02-09T08:15:44Z","snapshot_observed_at":"2026-07-06T17:58:52.016903Z","submitted_at":"2024-04-11T13:36:29Z","title":"ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07738","snapshot_observed_at":"2026-08-05T11:01:14.023009Z","title":"Re- searchagent: Iterative research idea generation over scientific literature with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.023009Z"},"links":{"cited_paper":"/paper/2404.07738","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:e8278999767dcf5ce4425acd816ed60c8cc74244781652aeecd30ad27389f20d","observation_id":"fa5d9654-af0d-41c0-9c94-d1f492252c6b","resolution":{"observed_at":"2026-08-05T11:01:14.023009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04644","last_updated":"2025-07-14T20:06:23Z","snapshot_observed_at":"2026-07-06T20:32:39.321377Z","submitted_at":"2025-02-07T04:08:46Z","title":"Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04644","snapshot_observed_at":"2026-08-05T11:01:14.071295Z","title":"Agentic reasoning: Reasoning llms with tools for the deep research","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.071295Z"},"links":{"cited_paper":"/paper/2502.04644","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:f7821e9aab857202f6ff2d12b94e4d0ee45fae3d8d236ec51718387ec2be4c3d","observation_id":"aa211f0a-6f6a-4774-a88f-fd3d61248ae0","resolution":{"observed_at":"2026-08-05T11:01:14.071295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01237","last_updated":"2025-08-02T07:22:51Z","snapshot_observed_at":"2026-08-07T20:13:17.608989Z","submitted_at":"2025-08-02T07:22:51Z","title":"SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01237","snapshot_observed_at":"2026-08-05T11:01:14.152470Z","title":"Sketchagent: Generating structured diagrams from hand-drawn sketches","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.152470Z"},"links":{"cited_paper":"/paper/2508.01237","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:e1e74f5dfa14371afd1fda759cdf5bf5eb9b78f34f6e5ab7f79aed81dd95b5eb","observation_id":"042b2d6c-ea47-4d48-a0d5-33d16b08c601","resolution":{"observed_at":"2026-08-05T11:01:14.152470Z","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":"2026-08-05T11:01:17.783754Z","title":"From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing","venue":null,"work_id":"e87b12b2-066f-4d8c-891c-4041f1a0f218","year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.237229Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:9417bac9ff8dcad6876d9fd948326b16e24e34decc3e7d8c2d4a2fd5cf335068","observation_id":"a2c7fb46-0691-40b9-9716-7a63cb683704","resolution":{"observed_at":"2026-08-05T11:01:17.791225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03160","last_updated":"2025-04-17T04:46:08Z","snapshot_observed_at":"2026-07-06T21:04:06.413573Z","submitted_at":"2025-04-04T04:41:28Z","title":"DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03160","snapshot_observed_at":"2026-08-05T11:01:14.352830Z","title":"Deepresearcher: Scaling deep research via reinforcement learning in real-world environments","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.352830Z"},"links":{"cited_paper":"/paper/2504.03160","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:9565dee00905f2bc21ffa1ef93c21bb0859ec9bd86b2b95f27b259053a5cc439","observation_id":"0f476359-0503-4aff-94ea-25d37b88562d","resolution":{"observed_at":"2026-08-05T11:01:14.352830Z","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":"2026-08-05T11:01:17.767505Z","title":"Textrank: Bringing order into text","venue":null,"work_id":"bb05296e-4366-41b3-8a6f-eed9d41730de","year":2004},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.404699Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:47ab03fed086017794d412ca0eeb20643811de1d29abc5429e8fda5d274505a4","observation_id":"21062215-8bb7-4eb7-8a1d-525b1841bee7","resolution":{"observed_at":"2026-08-05T11:01:17.773241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.741704Z","title":"Lexrank: Graph-based lexical centrality as salience in text summarization","venue":null,"work_id":"c021f8f2-5e81-4faf-8dc7-a1fc57124376","year":2004},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.472299Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:e1b6c6598d0c14b5bc2b28b25c8b2ebb0ce4705a058a1b517a67410ccda3d295","observation_id":"83457be8-3420-4843-bea7-972a1845f9de","resolution":{"observed_at":"2026-08-05T11:01:17.748716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.711450Z","title":"An empirical survey on long document summarization: Datasets, models, and metrics","venue":null,"work_id":"64e14b6d-e46f-465e-a59e-d8cda3e97661","year":2022},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.551517Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:a72ccbca0e41fe6a81acf11571c8e1c5e10cca408b62413bf3a67acafdbb9cd6","observation_id":"5e42fc3b-a0c0-4ab4-b4b4-37ef97638d68","resolution":{"observed_at":"2026-08-05T11:01:17.717728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.688836Z","title":"Extractive summarization using extended textrank algorithm","venue":null,"work_id":"f6e094ab-1e41-465e-9aaf-25abe3c095c4","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.637922Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:c8f21132ee3fdc21aad695bc15ab76236fca16500b84cb9c8423cce3eeafd0d0","observation_id":"1b6efdb5-5cc3-43fc-a03f-aa93835c314e","resolution":{"observed_at":"2026-08-05T11:01:17.694010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.672245Z","title":"Dependency- based discourse parser for single-document summarization","venue":null,"work_id":"cc8df633-a195-4a89-8c17-906718f1ca26","year":2014},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.750063Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:d15347191678f6caf82b54a5476f90103e4b1c2e2b7cddea7a95729efba35120","observation_id":"91531278-f1ef-457a-ae5e-ac5c7adf25d6","resolution":{"observed_at":"2026-08-05T11:01:17.677621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.650259Z","title":"Learning-based single- document summarization with compression and anaphoricity constraints","venue":null,"work_id":"6e255468-9d06-402c-bc2c-6ae426d6d016","year":1998},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.832658Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:7e3893944a1b6d35eef38cba4d7dc1c4ffae79b70498c65163b9629d03717e07","observation_id":"a5f2bfcf-ee64-4974-b42f-5dbe36f65732","resolution":{"observed_at":"2026-08-05T11:01:17.657916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.622462Z","title":"Single-document abstractive text summarization: A systematic literature review","venue":null,"work_id":"3e26bd07-4ae8-4994-8785-faf551ea1ecc","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:14.961975Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:b59cca0a0bcadc1d3bbe191c318506176ec6f57865f23a62286e2df55f94a40a","observation_id":"15566b5c-4143-43ad-99e3-3529ff88f5d1","resolution":{"observed_at":"2026-08-05T11:01:17.630076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00785","last_updated":"2024-04-13T22:02:23Z","snapshot_observed_at":"2026-08-04T16:19:28.848684Z","submitted_at":"2023-10-01T20:46:44Z","title":"BooookScore: A systematic exploration of book-length summarization in the era of LLMs","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00785","snapshot_observed_at":"2026-08-05T11:01:15.014552Z","title":"Booookscore: A systematic exploration of book-length summarization in the era of llms","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.014552Z"},"links":{"cited_paper":"/paper/2310.00785","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:7d327f822d7d4bf6b38f3db5a4086e84f1029413f8961e10ed407a782a42aed0","observation_id":"5abd86a5-6a79-40a4-89db-a550e8cf0eac","resolution":{"observed_at":"2026-08-05T11:01:15.014552Z","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":"2026-08-05T11:01:17.600291Z","title":"Long document summarization with top-down and bottom-up inference","venue":null,"work_id":"909f7f6c-995d-4f31-a23a-3c521a7a67eb","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.160892Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:4bac58b113305e8d91b3801c777a1b04d922073f3874755bb809663d077f59c2","observation_id":"c39845a5-1cef-4b22-9e43-6d74151e8e3d","resolution":{"observed_at":"2026-08-05T11:01:17.606780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03203","last_updated":"2024-01-06T12:32:25Z","snapshot_observed_at":"2026-07-31T19:09:08.910925Z","submitted_at":"2024-01-06T12:32:25Z","title":"Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping","version":1},"cited_work":{"arxiv_id":"2401.03203","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.03203","snapshot_observed_at":"2026-08-05T11:01:17.091344Z","title":"Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping","venue":"cs.CV","work_id":"117287d8-23f3-47e1-85d0-30b46d9fd1c5","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.324449Z"},"links":{"cited_paper":"/paper/2401.03203","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:0dee03c0d0f8df8cf67a5088545e23c0a7239e57b6ffb7b46a7f8c911c11234e","observation_id":"863de7e5-3c4e-451e-852c-400ba6b5047f","resolution":{"observed_at":"2026-08-05T11:01:17.098186Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17311","last_updated":"2024-09-27T05:38:03Z","snapshot_observed_at":"2026-07-06T17:36:01.939242Z","submitted_at":"2024-02-27T08:33:31Z","title":"SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization","version":2},"cited_work":{"arxiv_id":"2402.17311","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.17311","snapshot_observed_at":"2026-08-05T11:01:17.037706Z","title":"SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization","venue":"cs.CL","work_id":"22806a32-6c4a-4186-a6ba-c6ee7f8e7763","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.440362Z"},"links":{"cited_paper":"/paper/2402.17311","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:ee3f0820a4c22ef1b1da27cf1df957ea2b5d133fe235dc6ba989df5bec8ea16c","observation_id":"e8a06eb9-cb7c-425d-8892-4cbea7430d78","resolution":{"observed_at":"2026-08-05T11:01:17.069548Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.573756Z","title":"Improving multi-document summarization through referenced flexible extraction with credit-awareness","venue":null,"work_id":"7ffcf47a-09db-4c46-bf71-6a0db0c413a9","year":2022},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.597777Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:8237f3c4ef0104be7893c000072c4891416631ea54a7cac90d15aea712939f0a","observation_id":"9e9f26a7-35a8-427d-96b5-bfaabfbb9605","resolution":{"observed_at":"2026-08-05T11:01:17.581657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.550683Z","title":"Super- vising the centroid baseline for extractive multi-document summarization","venue":null,"work_id":"7a49a838-4a1b-45d3-8174-0520a12f0ba0","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.780681Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:ab73ff5a0b11086d128045b1107eea7a49a1479da327a5d645e63539cef7a33e","observation_id":"17d721a6-4918-489a-ba0a-7964a242c856","resolution":{"observed_at":"2026-08-05T11:01:17.556560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.525226Z","title":"Enhancing multi-document summarization with cross-document graph- based information extraction","venue":null,"work_id":"b615a03b-b4cf-4e95-9fb5-4fa519e0305c","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:15.920947Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:e88a3f28924b28c519a70d6a20e16302f22c4b0666b1fc9450e292302ee028f0","observation_id":"17e00a22-803a-4835-9f24-1daa13958bb6","resolution":{"observed_at":"2026-08-05T11:01:17.532848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.506920Z","title":"Disentangling specificity for abstractive multi-document summarization","venue":null,"work_id":"071bfe98-a124-4e5d-9374-641238b76e2b","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.072227Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:41aa3f9def6bde5479d4215b3d48dbeabf6ce0a09eb83cb848e0e1d5daa3ed22","observation_id":"108d35fc-3b7b-4066-8a76-f64774676e73","resolution":{"observed_at":"2026-08-05T11:01:17.512481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.483603Z","title":"Embrace divergence for richer insights: A multi-document summarization benchmark and a case study on summarizing diverse information from news articles","venue":null,"work_id":"41b96da0-8c05-48f1-80d2-21ac3720b43f","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.239738Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:1970a854fe896684e5b6b21411adccf2160d5ade60c1443a7b52b5d8728e756a","observation_id":"e452f52b-366b-4368-985b-d41a93ecae09","resolution":{"observed_at":"2026-08-05T11:01:17.490842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13961","last_updated":"2025-04-26T03:27:18Z","snapshot_observed_at":"2026-07-06T19:35:35.229351Z","submitted_at":"2024-10-17T18:38:53Z","title":"From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13961","snapshot_observed_at":"2026-08-05T11:01:16.372999Z","title":"From single to multi: How llms hallucinate in multi- document summarization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.372999Z"},"links":{"cited_paper":"/paper/2410.13961","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:4d2a9fa0d65914392ef7aea9998cad106cd4768c32c65d1a1dcf8f6c51e6be02","observation_id":"cd1c8712-2413-41a7-88b4-f477093eb6bd","resolution":{"observed_at":"2026-08-05T11:01:16.372999Z","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":"2026-08-05T11:01:17.457161Z","title":"Assisting in writing wikipedia-like articles from scratch with large language models","venue":null,"work_id":"4885f738-380f-4589-84b4-ba37e78215ea","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.497452Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:4ab1ab531f611219dfe2aa1b766d4a75c6f71463d0d175d6575a9d394fa0d213","observation_id":"5007d1a3-968d-45aa-9fb6-ef6e90f45f85","resolution":{"observed_at":"2026-08-05T11:01:17.464414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.436739Z","title":"Chatcite: Llm agent with human workflow guidance for comparative literature summary","venue":null,"work_id":"b4d86dbf-404f-4fa8-81f0-5972aeef1bb7","year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.568908Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:27f2d6a6e0e7f702d99fefa73a35934ee336a9b675b8827e05cdca0ec6c98fb2","observation_id":"149a05c7-1d73-46f4-bb78-b4cdf56bbbb8","resolution":{"observed_at":"2026-08-05T11:01:17.443315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T11:01:16.618393Z","title":"Deepseek-r1: Incen- tivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.618393Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:fbacf9d8b8086f4b796258f1c3e78e079d560064a9fb82a2a96da9f2907e65da","observation_id":"b938ce18-1f22-4e74-9d41-af7e98dd349a","resolution":{"observed_at":"2026-08-05T11:01:16.618393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05592","last_updated":"2025-03-18T08:32:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-07T17:14:44Z","title":"R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05592","snapshot_observed_at":"2026-08-05T11:01:16.653533Z","title":"R1-searcher: Incentivizing the search capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.653533Z"},"links":{"cited_paper":"/paper/2503.05592","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:ddec014bddf4d43c9970e79f947276199f215b4c2e558fece2a1b80ced929069","observation_id":"ac6a2b37-8b82-4568-bcdc-6f2cf46ee915","resolution":{"observed_at":"2026-08-05T11:01:16.653533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-05T11:01:16.659228Z","title":"Gpt-4o system card","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.659228Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:ddfc171e3b2d92a7a5a7bff13cc937c8c1e2d490d95810e353fd80acbd27c8f4","observation_id":"85391fb2-9e47-4313-b7fa-ffbd98dac110","resolution":{"observed_at":"2026-08-05T11:01:16.659228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-07-06T17:41:42.995949Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-05T11:01:16.666344Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.666344Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:02a152a2c099d7663e26e2b748da44e9a853a0737caf98529a65a35c1e09b43f","observation_id":"8ddac94d-8dd6-483d-bd94-37aa89a65480","resolution":{"observed_at":"2026-08-05T11:01:16.666344Z","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":"2026-08-05T11:01:17.413419Z","title":"Gpt-4o: Advancing multimodal ai with real-time audio, vision, and text integration","venue":null,"work_id":"58294973-f79a-4cb5-bee5-06221ca92200","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.672296Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:4fee3f9f88b285b52bd083620834684db5a50d7504751db0e2bc860ffac76dfd","observation_id":"67e9fbbc-bf46-4794-bf07-92c6fd2abe3e","resolution":{"observed_at":"2026-08-05T11:01:17.418663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-05T11:01:16.679837Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.679837Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:f7454dc9720686393065aed8da7067cc1e78bec9eb0d243ae0279f24ea06ad83","observation_id":"f8fa884b-85cf-4157-9320-c312da596821","resolution":{"observed_at":"2026-08-05T11:01:16.679837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-05T11:01:16.694057Z","title":"Qwen technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.694057Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:c23376fc25891c823bd1664cc2f59844aa1bf4fb76d6bc0724c1927d285e370f","observation_id":"8c7fbad7-84ca-46de-9c58-1de59bd96b84","resolution":{"observed_at":"2026-08-05T11:01:16.694057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17297","last_updated":"2024-03-26T00:53:24Z","snapshot_observed_at":"2026-08-02T11:10:24.263044Z","submitted_at":"2024-03-26T00:53:24Z","title":"InternLM2 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17297","snapshot_observed_at":"2026-08-05T11:01:16.700701Z","title":"Internlm2 technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.700701Z"},"links":{"cited_paper":"/paper/2403.17297","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:bece57b720acef2c1a436fd94210601e6e3b45226cea2bcc2b5c0f9b7f871dd2","observation_id":"d39ed4e4-038b-4557-ac5a-95b13fd8fc40","resolution":{"observed_at":"2026-08-05T11:01:16.700701Z","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":"2026-08-05T11:01:17.391390Z","title":"Llama 3: Open foundation for generative ai","venue":null,"work_id":"8d4dafc4-4257-49df-ab47-771645e4de66","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.707443Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:7d135e904bb9afe555c4f17a2b420d31a710d94d66ea566a209657cf9dcf506e","observation_id":"52e10212-c8a4-4922-821a-54748ce489a0","resolution":{"observed_at":"2026-08-05T11:01:17.397578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.363475Z","title":"Codellama: Open foundation models for code","venue":null,"work_id":"0d4d5b60-8430-441f-aa04-1ceb4d8ec51d","year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.713143Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:b200e2491dc6090ad0ab1f2525397608a722eda2f11152076585cabdbe7b8246","observation_id":"06050abd-8665-466f-a4c4-4b39cb99a3b0","resolution":{"observed_at":"2026-08-05T11:01:17.372684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:01:17.336196Z","title":"The claude 3 model family: Opus, sonnet, haiku","venue":null,"work_id":"28c8df58-f61a-462e-b03b-1f01c1e9864d","year":2024},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.719543Z"},"links":{"citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:9e60dc31fde2380c0f51a13317ebf332b3ee7a3af8be2086ab34ceee940defbf","observation_id":"c4c0bdba-4863-4445-b92d-3ae9388c257b","resolution":{"observed_at":"2026-08-05T11:01:17.341014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T11:01:16.724642Z","title":"Gemini: a family of highly capable multimodal models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T11:01:16.724642Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2509.03565"},"observation_digest":"sha256:bc844ccdb28b3f33d0f6bef5726c4acc09944ddef8cf558359283d990f7d40dc","observation_id":"75db4376-b704-4723-a34d-a86c013d1fd9","resolution":{"observed_at":"2026-08-05T11:01:16.724642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.03565","last_updated":"2025-09-03T15:45:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T13:23:45.396815Z","submitted_at":"2025-09-03T15:45:03Z","title":"ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":3,"verified_fuzzy":31},"total_outbound_references":51},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.03565."}