{"as_of":"2026-08-15T00:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d7aea14e85bd30b54fc613db09e2b541291f5f12f1b7be28ffa2c5d08686fcc","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:13:44.072901Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T16:19:25.059081Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T14:38:28.618294Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":"2506.03189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-07-03T14:38:28.618294Z","title":"K., Arnab, A., Iscen, A., Castro, P","venue":null,"work_id":"91de8dc4-5c7b-4044-86ff-4ec8476b1b92","year":2025},"citing_paper":{"arxiv_id":"2604.12935","last_updated":"2026-07-23T09:47:36Z","snapshot_observed_at":"2026-08-11T02:23:43.614919Z","submitted_at":"2026-04-14T16:24:04Z","title":"Task Alignment: A Simple Proxy for Practical Model Merging Across Diverse Vision Tasks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T14:56:04.775995Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2604.12935"},"observation_digest":"sha256:d6a59f0e04434eda6ffbdcda230650d06fdeb836f7942721a89b00d1857edf1e","observation_id":"9f4fa37b-6fc2-4e6c-ac28-0de2d49d3eb6","resolution":{"observed_at":"2026-05-11T11:26:02.204702Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-08-02T16:19:25.059081Z","title":"arXiv preprint arXiv:2506.03189 (2025) 4","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.12935","last_updated":"2026-07-23T09:47:36Z","snapshot_observed_at":"2026-08-11T02:23:43.614919Z","submitted_at":"2026-04-14T16:24:04Z","title":"Task Alignment: A Simple Proxy for Practical Model Merging Across Diverse Vision Tasks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T16:19:25.059081Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2604.12935"},"observation_digest":"sha256:37347ab264f485564983cd8f68786662404500529e1beee19bf5d242d485f64e","observation_id":"a43963e3-ac4d-4175-a0c6-f3ca4611686e","resolution":{"observed_at":"2026-08-02T16:19:25.059081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":"2506.03189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-07-03T14:38:28.618294Z","title":"K., Arnab, A., Iscen, A., Castro, P","venue":null,"work_id":"91de8dc4-5c7b-4044-86ff-4ec8476b1b92","year":2025},"citing_paper":{"arxiv_id":"2605.12419","last_updated":"2026-05-12T17:14:04Z","snapshot_observed_at":"2026-08-14T12:41:23.219482Z","submitted_at":"2026-05-12T17:14:04Z","title":"ORBIT: Preserving Foundational Language Capabilities in GenRetrieval via Origin-Regulated Merging","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-13T05:07:59.947540Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2605.12419"},"observation_digest":"sha256:6f489c83a33dfcf6f99e7d806a0127db4581c4f391b90003f3a2ac0e2011aa48","observation_id":"f44fb004-3313-4fb6-a032-aa6675021ae4","resolution":{"observed_at":"2026-05-13T05:12:18.078464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":"2506.03189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-07-03T14:38:28.618294Z","title":"K., Arnab, A., Iscen, A., Castro, P","venue":null,"work_id":"91de8dc4-5c7b-4044-86ff-4ec8476b1b92","year":2025},"citing_paper":{"arxiv_id":"2606.12655","last_updated":"2026-06-10T20:27:06Z","snapshot_observed_at":"2026-08-14T22:10:43.746848Z","submitted_at":"2026-06-10T20:27:06Z","title":"Amnesia: A Stealthy Replay Attack on Continual Learning Dreams","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-06-27T09:02:44.548488Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2606.12655"},"observation_digest":"sha256:f06f272210ba7700d80ec95701eeef684d9597afecb30fc03981fa7bb2532e25","observation_id":"3699b2d5-7e38-4fc3-8200-0f92c437a7cb","resolution":{"observed_at":"2026-07-03T12:18:06.672725Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":"2506.03189","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-07-03T14:38:28.618294Z","title":"K., Arnab, A., Iscen, A., Castro, P","venue":null,"work_id":"91de8dc4-5c7b-4044-86ff-4ec8476b1b92","year":2025},"citing_paper":{"arxiv_id":"2607.02214","last_updated":"2026-07-02T14:22:46Z","snapshot_observed_at":"2026-07-07T00:07:42.752664Z","submitted_at":"2026-07-02T14:22:46Z","title":"Unlocking Speech-Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-03T14:35:17.004680Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2607.02214"},"observation_digest":"sha256:dd98bcca403bf42fc1d1d80d87cfe71a478244f03a14f407e7054c8fae45176f","observation_id":"b76f2e21-89fb-4c48-af4c-2fce9a9d651b","resolution":{"observed_at":"2026-07-03T14:38:28.619687Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.03189","snapshot_observed_at":"2026-08-02T00:57:43.881234Z","title":"Continual learning in vision-language models via aligned model merging.arXiv preprint arXiv:2506.03189, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.14852","last_updated":"2026-07-21T06:49:06Z","snapshot_observed_at":"2026-08-14T00:59:25.150499Z","submitted_at":"2026-07-16T11:22:06Z","title":"Towards Human-like Physical Intelligence: Lifelong Vision-Language-Action Learning for Robotic Manipulation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T00:57:43.881234Z"},"links":{"cited_paper":"/paper/2506.03189","citing_paper":"/paper/2607.14852"},"observation_digest":"sha256:f332ecb224039796a9e5b7db55ec6e7c42b6a92df6d459ebd90a0f83ccb46c7d","observation_id":"58294f10-753f-46e2-895f-e3ea0d455fe2","resolution":{"observed_at":"2026-08-02T00:57:43.881234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.03189/citation-record","integrity":"/paper/2506.03189/integrity","json":"/paper/2506.03189/citation-record.json","paper":"/paper/2506.03189"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:13:46.616265Z","title":null,"venue":null,"work_id":"0e41cd3c-6aed-481e-887a-a153a50db9bb","year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.024266Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:59d35cd3cd3ea4f22391fe71392809f52d53e718899391967f65257b3f45adf2","observation_id":"4ef75ae6-ac9c-4b8f-ba59-f93575baf2f6","resolution":{"observed_at":"2026-08-07T12:13:46.722563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03044","last_updated":"2022-04-06T18:54:48Z","snapshot_observed_at":"2026-08-14T17:34:36.101910Z","submitted_at":"2022-04-06T18:54:48Z","title":"Fusing finetuned models for better pretraining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03044","snapshot_observed_at":"2026-08-07T12:13:42.124288Z","title":"Choshen, E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.124288Z"},"links":{"cited_paper":"/paper/2204.03044","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:fda7bf20981590a873f5434f5129631c0f62d3eb643e9590326cb0758518ad3e","observation_id":"d49cf55c-dda8-4fe0-b900-f4b74541a716","resolution":{"observed_at":"2026-08-07T12:13:42.124288Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06712","last_updated":"2024-12-09T18:01:13Z","snapshot_observed_at":"2026-08-14T12:39:45.946347Z","submitted_at":"2024-12-09T18:01:13Z","title":"How to Merge Your Multimodal Models Over Time?","version":1},"cited_work":{"arxiv_id":"2412.06712","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.06712","snapshot_observed_at":"2026-08-07T12:13:44.584701Z","title":"How to Merge Your Multimodal Models Over Time?","venue":"cs.LG","work_id":"0cc3b375-d0cd-4fef-8920-3e5f2bc7d694","year":2024},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.442908Z"},"links":{"cited_paper":"/paper/2412.06712","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:402e43129bbfefccf5bab853036289d4798dae0d1ced618ffcc0b91659a5b5e1","observation_id":"afb968f0-77ff-4ff8-bb26-af2e3d0b0261","resolution":{"observed_at":"2026-08-07T12:13:44.658600Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:46.193632Z","title":"Kembhavi, M","venue":null,"work_id":"8e3e43ca-0091-4bf8-ab08-a3f1aab4621f","year":2016},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.827482Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:6ced407185dbc4e8fcf3b3a66cd1345a5e126c2458d64920641af46f2ae41913","observation_id":"4101a6c8-5453-44f8-b066-ae04db996fda","resolution":{"observed_at":"2026-08-07T12:13:46.291282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19611","last_updated":"2024-09-29T08:34:54Z","snapshot_observed_at":"2026-08-14T00:19:00.014825Z","submitted_at":"2024-09-29T08:34:54Z","title":"Learning Attentional Mixture of LoRAs for Language Model Continual Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19611","snapshot_observed_at":"2026-08-07T12:13:43.137652Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.137652Z"},"links":{"cited_paper":"/paper/2409.19611","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:03cdb97bd1efd2cc3cb1fbfb3b35df4a6dfe03b1143aa7c4f4560c3e6eba57d9","observation_id":"0d3ca982-d6ef-4874-9269-ad3aebe56ed6","resolution":{"observed_at":"2026-08-07T12:13:43.137652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13025","last_updated":"2024-12-02T06:40:50Z","snapshot_observed_at":"2026-08-12T22:21:29.853385Z","submitted_at":"2024-10-16T20:33:06Z","title":"LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13025","snapshot_observed_at":"2026-08-07T12:13:43.254006Z","title":"Prabhakar, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.254006Z"},"links":{"cited_paper":"/paper/2410.13025","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:0594205827fe36dccb7ff651838c2e746af259f611ad8c3a9185b2ad7878df23","observation_id":"e4380326-7d8a-488d-8a6c-fefd41b3b9b7","resolution":{"observed_at":"2026-08-07T12:13:43.254006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12766","last_updated":"2024-10-16T17:41:59Z","snapshot_observed_at":"2026-08-12T22:21:39.446887Z","submitted_at":"2024-10-16T17:41:59Z","title":"The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse","version":1},"cited_work":{"arxiv_id":"2410.12766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.12766","snapshot_observed_at":"2026-08-07T12:13:44.256514Z","title":"The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse","venue":"cs.LG","work_id":"43ff571d-9da2-4f5e-9545-d80ee908d17d","year":2024},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.501858Z"},"links":{"cited_paper":"/paper/2410.12766","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:3d4d70913ef69dce55eadf56d0f4b0d73a4622ca345d7bc938bb6571b8ab5c87","observation_id":"b5f8f3f7-5271-491b-9174-f91cfe0675f9","resolution":{"observed_at":"2026-08-07T12:13:44.334300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:45.599437Z","title":null,"venue":null,"work_id":"61959d4b-7c02-473c-8c88-63d2eb32c521","year":2023},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.622560Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:f3faf2b05a59997beb9411910424bfd1e90a98b179db7afeeff9edee1e08a558","observation_id":"f463f304-8578-4c88-a309-10c4972c1fda","resolution":{"observed_at":"2026-08-07T12:13:45.687330Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12148","last_updated":"2023-12-19T13:31:24Z","snapshot_observed_at":"2026-08-13T04:58:35.298301Z","submitted_at":"2023-12-19T13:31:24Z","title":"Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12148","snapshot_observed_at":"2026-08-07T12:13:43.689031Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.689031Z"},"links":{"cited_paper":"/paper/2312.12148","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:20bd4e041626a50263b4007a1e8bb7174a0ae411184c56d4cf3d2d570ff887c5","observation_id":"f8a668b0-9d71-4fde-8766-903060a4af11","resolution":{"observed_at":"2026-08-07T12:13:43.689031Z","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":"2026-08-07T12:13:45.436980Z","title":"We used the best hyperparameters reported by Beyer et al","venue":null,"work_id":"23755491-2534-4210-912c-237ddaec7adf","year":2024},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.780570Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:abbfe9b273d83497aa61125afdd4a9a1c0a3a1f8b1851bdaf2c9ef5d57312787","observation_id":"dd4a6e48-87b3-483c-b0b7-775d4fc9568c","resolution":{"observed_at":"2026-08-07T12:13:45.503630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:45.249167Z","title":"Baselines We used a LoRA rank of 32 for all baselines","venue":null,"work_id":"e5d5073b-13cf-4141-9b53-5550c5639377","year":2024},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.865608Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:1558ef7330062d69026779d46a1d9dce583d6b9bbfc0c5928608e94d49ee5d4e","observation_id":"6fba70f4-e967-47c3-b680-9a3390768025","resolution":{"observed_at":"2026-08-07T12:13:45.331014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:45.051257Z","title":"At each time step, we report the average forgetting on seen tasks so far (lower is better)","venue":null,"work_id":"2f51a8bb-db26-46d8-a6c0-48a3afec1b2f","year":2017},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.949613Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:560fa02658987180ade6c69af82491eb51adcb31040c1635cf03d3b943194ef1","observation_id":"28542678-6e95-4e94-80a8-4911dd39e937","resolution":{"observed_at":"2026-08-07T12:13:45.161725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:44.840282Z","title":"In contrast, merging demonstrates greater robustness to these task variations","venue":null,"work_id":"f1ec025e-a7d7-4ca2-b87d-ede843955d8c","year":2022},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:44.072901Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:aca12d747790cb4e2f72b2cad7df046f0c7b9a3a5a257d92f85bf7794658de59","observation_id":"9994f912-b970-4cd3-bdd1-93d17180029a","resolution":{"observed_at":"2026-08-07T12:13:44.927081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05559","last_updated":"2025-01-09T20:11:08Z","snapshot_observed_at":"2026-08-14T13:20:01.239912Z","submitted_at":"2025-01-09T20:11:08Z","title":"Soup to go: mitigating forgetting during continual learning with model averaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05559","snapshot_observed_at":"2026-08-07T12:13:42.925177Z","title":"Kleiman, G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.925177Z"},"links":{"cited_paper":"/paper/2501.05559","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:4b897248c48715ef3700d5b8297175b17ab1991be8fdb3683be7b9bb8c41e66d","observation_id":"5aa130d6-3a08-4964-a631-0b732ee1575a","resolution":{"observed_at":"2026-08-07T12:13:42.925177Z","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":"2026-08-07T12:13:46.389689Z","title":"Don’tforget, thereismorethanforgetting: new metrics for continual learning","venue":null,"work_id":"20d6ba9f-f109-4ab7-874b-4105cd01425d","year":2018},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.346481Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:816568a9a3ecfdd287cb332401fc976c9b3794d6b4625dd9987382eed5525633","observation_id":"6fe3712f-fcfb-429f-a207-fee8c2ba982f","resolution":{"observed_at":"2026-08-07T12:13:46.507830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04089","last_updated":"2023-03-31T15:27:01Z","snapshot_observed_at":"2026-08-13T03:27:01.609831Z","submitted_at":"2022-12-08T05:50:53Z","title":"Editing Models with Task Arithmetic","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04089","snapshot_observed_at":"2026-08-07T12:13:42.567852Z","title":"Ilharco, M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.567852Z"},"links":{"cited_paper":"/paper/2212.04089","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:32cb04bb697aa301a572f11b68d382022b897e2966e5d149ddb9bc5646070005","observation_id":"9175bb53-8694-447a-87aa-e80a26b1b2d9","resolution":{"observed_at":"2026-08-07T12:13:42.567852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10486","last_updated":"2019-06-04T07:59:35Z","snapshot_observed_at":"2026-08-14T17:10:23.167932Z","submitted_at":"2019-02-27T12:34:19Z","title":"On Tiny Episodic Memories in Continual Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10486","snapshot_observed_at":"2026-08-07T12:13:41.939706Z","title":"Chaudhry, M","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:41.939706Z"},"links":{"cited_paper":"/paper/1902.10486","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:68f1b0dad58690e5ced2e5752e8681c469caa42eefb185fadcbf96ab8e87ccf1","observation_id":"18f32e32-86e2-459f-97d7-219fd7d64e2f","resolution":{"observed_at":"2026-08-07T12:13:41.939706Z","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":"2026-08-07T12:13:45.790610Z","title":"icarl: Incrementalclassifierandrepresentation learning","venue":null,"work_id":"b4e221f9-6dbc-4554-a309-d3debf3df2c8","year":2001},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.381228Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:30aa1b7a6e232dac315afdcfa6b23eaec2bc75ea70de92a1a78a6a700b076bcb","observation_id":"79d3fe60-aae9-4339-8372-9a6011244763","resolution":{"observed_at":"2026-08-07T12:13:45.874169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05407","last_updated":"2019-02-25T14:18:11Z","snapshot_observed_at":"2026-08-14T19:36:09.254749Z","submitted_at":"2018-03-14T17:09:27Z","title":"Averaging Weights Leads to Wider Optima and Better Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05407","snapshot_observed_at":"2026-08-07T12:13:42.702115Z","title":"Izmailov, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.702115Z"},"links":{"cited_paper":"/paper/1803.05407","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:228dc58d14e0355ca075e1907f12bc2670ddee2a515617bf8790414c255d63fa","observation_id":"5d3df987-0317-48bb-b9f8-4349e98f1c8e","resolution":{"observed_at":"2026-08-07T12:13:42.702115Z","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":"2026-08-07T12:13:45.987648Z","title":null,"venue":null,"work_id":"2b67eec8-fb63-4a4b-9d19-e3302c512537","year":2025},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:43.035247Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:33eb80be481d3291f3bd87fea345c762cd8420a0ac90588e453d3ea62a6981b3","observation_id":"f80782f5-82fe-415d-a6af-19b27362809e","resolution":{"observed_at":"2026-08-07T12:13:46.071657Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-07T12:13:46.822093Z","title":null,"venue":null,"work_id":"573e91ff-3ba5-4c60-b3b7-f4685c9c5d43","year":1901},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:41.874808Z"},"links":{"citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:a9976fb078962c83e8fbf630a5f245708b773c3c671ab9dc8cfdfa49835a5f5c","observation_id":"0e4d076c-1cde-4c4f-9839-c86e4fd7d445","resolution":{"observed_at":"2026-08-07T12:13:46.905472Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T12:13:42.219343Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T12:13:42.219343Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2506.03189"},"observation_digest":"sha256:50a3a278d129ab1aaacb5227c33918799906fab97c661fc2df10907b818c1d56","observation_id":"e5093490-477b-4a7f-b7f4-8003fd429957","resolution":{"observed_at":"2026-08-07T12:13:42.219343Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.03189","last_updated":"2025-05-30T20:52:21Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T12:40:37.445467Z","submitted_at":"2025-05-30T20:52:21Z","title":"Continual Learning in Vision-Language Models via Aligned Model Merging"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":2,"verified_fuzzy":7},"total_outbound_references":22},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 6 inbound Pith citation observations for arXiv:2506.03189."}