{"as_of":"2026-08-21T21:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7e2734f1a337af91a8da3095fb81ec0112e3acb8fe5a2376585565f05131d3ba","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:11:17.095431Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2412.00652/citation-record","integrity":"/paper/2412.00652/integrity","json":"/paper/2412.00652/citation-record.json","paper":"/paper/2412.00652"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:11:17.365910Z","title":"• Craft a detailed initial scenario description based on the chosen Initial Compromise card","venue":null,"work_id":"c0629186-74b2-4a07-a9a4-d968f0d1c6fe","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.021248Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:e4810094b87695f44756e602dd5e838409fc431e9617add9a11ae75d9b526526","observation_id":"6a3a07d7-cfd2-4558-b671-c868a36f1b83","resolution":{"observed_at":"2026-08-12T05:11:17.369943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.355068Z","title":"• Inform the Defenders of the initial setup, including which procedures are classified as Established vs","venue":null,"work_id":"6aa46b1f-31d9-4929-bc3b-46898bb7dd75","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.025311Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:2d2545ce377f427573015afa954f34f0f0660977d0d8e7373794d1ce519bf06a","observation_id":"bf3fcd6e-ee96-4a7b-a8ab-f9ef66212755","resolution":{"observed_at":"2026-08-12T05:11:17.358905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.343663Z","title":"• Remind Defenders of any Procedure cards on cooldown and therefore unavailable for selection","venue":null,"work_id":"6ae62d5f-7b8e-4c04-bb4c-6da4a794ee18","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.030532Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:39059ffc28b3fc7767aa112de59edfd9d323b361aea5ab958946fe25196eac85","observation_id":"5cc63c66-e21e-4617-86d3-0bb4ac29acc6","resolution":{"observed_at":"2026-08-12T05:11:17.347399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.333042Z","title":"Ap- ply the appropriate modifier based on the type of Pro- cedure selected: – Established Procedure: +3 modifier to the roll","venue":null,"work_id":"6fea93d0-d8a8-44fd-bb38-d69b7fb0a14b","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.034339Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:2fc55621819025c69ec8b309cab3cd0f61614cfc2180b478eda8bd24128a357f","observation_id":"977effe0-8b14-4cd4-b226-64c633e30d9a","resolution":{"observed_at":"2026-08-12T05:11:17.337018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.322217Z","title":"– If it matches, reveal that specific attack card to the Defenders","venue":null,"work_id":"eb4d5808-a433-423c-be8d-c108d1119eae","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.037966Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:c30302c6cf90e099da77d0febd568362585db43fc3f10dcf715568daf2263706","observation_id":"ffac3496-5bf4-4718-a528-4bc6ab7eb7c6","resolution":{"observed_at":"2026-08-12T05:11:17.325977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.310908Z","title":"• When an Inject is triggered, draw one card from the Inject pile and reveal it to all players","venue":null,"work_id":"7413df99-4136-4173-b498-ef0224f24ad9","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.041222Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:d87264c71460f5b8716f4925eb16c81b333cae99ce72201b7150d3f12d713b29","observation_id":"4bb7acc7-031f-4e11-9afb-0d3738efa24c","resolution":{"observed_at":"2026-08-12T05:11:17.315221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.299380Z","title":"• Track the turn count, ensuring the game does not ex- ceed 10 turns","venue":null,"work_id":"5806d318-200b-4b12-a806-551aea9570be","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.044516Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:51b9b25bf6282926d311055415a21d41b0abe0045fd18e08e0ab78f94ec4bab6","observation_id":"33548347-c96c-40dc-8e2c-bdd853fd4404","resolution":{"observed_at":"2026-08-12T05:11:17.303431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.289535Z","title":"• Loss: If the Defenders fail to reveal all attack cards by the end of the 10th turn, announce that the breach went undetected","venue":null,"work_id":"f79e2f94-4e19-4fbd-8510-11ef5b597bf3","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.047887Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:e3dff2fb05959c61188215c2efc15f5fd9041aa568844c3d8cd0666629d5ff87","observation_id":"5d61d386-fbda-46fc-b64a-cf9078e0e07f","resolution":{"observed_at":"2026-08-12T05:11:17.292982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.193406Z","title":null,"venue":null,"work_id":"44cd1579-dade-4f6b-9446-351ce53a7325","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.084436Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:53b13977d2ffdf23c9ec3323008fb4a06856914cf081f95f8100da667c0fb5af","observation_id":"003354b7-9e87-4d3e-a138-84473b985a4f","resolution":{"observed_at":"2026-08-12T05:11:17.197103Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.182110Z","title":"This misstep al- lowed stealthy malicious activity to persist undetected","venue":null,"work_id":"d40d11c6-b686-4b5d-9330-ee6b446d0b9a","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.088537Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:72c1652a7133b4a68d6dbc2fcf6cd385c811ba28ccb27fdb36f688bc4cfe5673","observation_id":"398a9291-2a45-49ab-bd89-9d86c2720faf","resolution":{"observed_at":"2026-08-12T05:11:17.185791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.171867Z","title":"This limited the team’s visibility into the attack","venue":null,"work_id":"175c099d-3467-4d9b-9672-2614c5566058","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.092122Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:995bb76d92f068c47a98c6a3d89dd0311da25003d8c01a6ae71f10d734ac313e","observation_id":"0fdfe72c-6a03-4c23-bf97-9104a50d5113","resolution":{"observed_at":"2026-08-12T05:11:17.175252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.279539Z","title":"This approach resulted in a lack of adap- tation to the complexities of insider threats","venue":null,"work_id":"b2e25f9f-cbcf-436f-b344-db6634dcaa8c","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.051456Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:b248e70be5b52fa75e016269f109a9aff87806e857ccb2160d01a0d4b88d2f92","observation_id":"80270d7e-3323-4433-bcd9-4c92b7d510f3","resolution":{"observed_at":"2026-08-12T05:11:17.283142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.269354Z","title":"This oversight delayed detection of critical attack stages","venue":null,"work_id":"9bdaf1b4-40a9-41cb-b8b8-0b92403e500b","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.055776Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:afae6150757ab27a43fd5020179b680b962cd3f3446c895bc294a54a047a5fc5","observation_id":"8463edca-3197-4db1-8234-47929476cbb5","resolution":{"observed_at":"2026-08-12T05:11:17.273272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.258886Z","title":"This led to missed opportunities to identify the breach early","venue":null,"work_id":"4cde7b41-1e11-4bdb-b87c-952c2da9b7db","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.059526Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:a99d0f35d44782234da02a3c0caba33fbe0664577985ed2a96acedd8b85bb3a3","observation_id":"d1e40f05-82f9-444e-9753-75cb2b37c6f3","resolution":{"observed_at":"2026-08-12T05:11:17.262540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.248577Z","title":"This mismatch resulted in an inability to address the breach’s unique characteristics","venue":null,"work_id":"835f46a6-9ce3-4782-ab07-5e313fbca079","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.063367Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:c7eba40f3390f736828cac8a449f4d048072f860ce9b5b67142f752c20a0d54b","observation_id":"a934bd5a-bf37-4841-bc93-b903ed3e64bb","resolution":{"observed_at":"2026-08-12T05:11:17.252256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.237500Z","title":"This failure delayed the detection of anomalous access patterns tied to compromised credentials","venue":null,"work_id":"72acda16-2076-4110-8b80-2cdc5cdb5dde","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.067278Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:e5e3b693940298ccf17a49bdb1db24614b87a4733868d3b6e376884efa4044b6","observation_id":"40725422-5b31-4998-a945-85455d9f0977","resolution":{"observed_at":"2026-08-12T05:11:17.241222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.226685Z","title":"This misstep allowed command and control communications to go undetected","venue":null,"work_id":"97d5f2ba-ac39-44fe-be94-6d8844c2d4dc","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.071520Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:9defa5e3a348541a2066318380fd110ee9dd5e75cf3e8d71a0e0d600abd73a59","observation_id":"2e76f17f-503f-4e76-ac0f-35bd8de7ff02","resolution":{"observed_at":"2026-08-12T05:11:17.230430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.215603Z","title":"This rigid strategy hindered their ability to uncover critical details about the attacker’s movements","venue":null,"work_id":"d0c81946-2c80-4435-8b6a-4b0e7d6fb443","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.075499Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:5608a3532b1a3f2167979a44bb1a4d56bfd76f87e584a9cc723e1d5982d623ad","observation_id":"4425c241-c8db-49d5-891d-381c835cb05e","resolution":{"observed_at":"2026-08-12T05:11:17.219761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.204388Z","title":"The team missed an early opportunity to identify compromised credentials","venue":null,"work_id":"c4d381bb-5b93-4cb4-9235-ee0c3843b7fd","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.079586Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:c443357f72d0e8292c2a098d72f19af81f3e740a5512c8fdbbcfbeac5bbba746","observation_id":"f13d349c-984d-475c-ad2f-38a4f4f9588c","resolution":{"observed_at":"2026-08-12T05:11:17.208010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-12T05:11:17.161259Z","title":"This oversight delayed the identification of suspicious login patterns and credential misuse","venue":null,"work_id":"1e5323d7-f89e-47f5-8d20-9e4c0663c117","year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.095431Z"},"links":{"citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:e9250ffc5665ec452921f3d66cd00f80293649b25d742ca3f56d8aeef16c5f6b","observation_id":"81cecb3b-a936-4069-8840-c150366a3047","resolution":{"observed_at":"2026-08-12T05:11:17.165061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02551","last_updated":"2025-02-26T13:51:56Z","snapshot_observed_at":"2026-08-21T20:44:31.404374Z","submitted_at":"2024-10-03T14:55:22Z","title":"ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration","version":2},"cited_work":{"arxiv_id":"2410.02551","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.02551","snapshot_observed_at":"2026-08-12T05:11:17.137127Z","title":"ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration","venue":"cs.LG","work_id":"5e9b661c-9fc1-4ecd-bd48-ccf713a09872","year":2024},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":302,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.013415Z"},"links":{"cited_paper":"/paper/2410.02551","citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:33f5c269a6f78029fb0d930338ccbf5b4a8877d5959ed5b0f8f35506b21335e8","observation_id":"bd267056-4e1f-478b-87f3-07f48cc1b198","resolution":{"observed_at":"2026-08-12T05:11:17.142609Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01680","last_updated":"2024-04-19T01:15:16Z","snapshot_observed_at":"2026-08-10T13:10:07.804621Z","submitted_at":"2024-01-21T23:36:14Z","title":"Large Language Model based Multi-Agents: A Survey of Progress and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01680","snapshot_observed_at":"2026-08-12T05:11:17.008995Z","title":"NIST Special Publication, 800(61): 1–147","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.008995Z"},"links":{"cited_paper":"/paper/2402.01680","citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:1a92d5eb0eb5d6fa634a32c082e3eec59d8dc530853b458e5fe9dbf39b1b6070","observation_id":"0a50ce11-c458-4871-9de3-742add21a4af","resolution":{"observed_at":"2026-08-12T05:11:17.008995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03644","last_updated":"2024-12-04T14:27:06Z","snapshot_observed_at":"2026-08-18T10:36:38.427675Z","submitted_at":"2024-05-06T17:07:28Z","title":"When LLMs Meet Cybersecurity: A Systematic Literature Review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03644","snapshot_observed_at":"2026-08-12T05:11:17.017409Z","title":"arXiv preprint arXiv:2405.03644","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T05:11:17.017409Z"},"links":{"cited_paper":"/paper/2405.03644","citing_paper":"/paper/2412.00652"},"observation_digest":"sha256:ad8f87f8393804766792f34af5eec74276a0956c78a9a8badee4da5ff0cc4c6b","observation_id":"1e744e7f-9b7b-450d-8dbb-5325a2ed6120","resolution":{"observed_at":"2026-08-12T05:11:17.017409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.00652","last_updated":"2024-12-27T05:32:11Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T16:50:15.437609Z","submitted_at":"2024-12-01T03:12:26Z","title":"Multi-Agent Collaboration in Incident Response with Large Language Models"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":23},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.00652."}