{"as_of":"2026-08-10T18:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3455456e1b4475600e41f2856f26dad78e379e1fff0310ce957fa16434dc5416","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:39:01.282592Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:40:26.422021Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.07817","snapshot_observed_at":"2026-08-04T09:40:26.422021Z","title":"Google Online Security Blog","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.14113","last_updated":"2026-07-01T15:47:10Z","snapshot_observed_at":"2026-08-08T03:25:05.046700Z","submitted_at":"2025-10-15T21:34:58Z","title":"Toward Cybersecurity-Expert Small Language Models","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-04T09:40:26.422021Z"},"links":{"cited_paper":"/paper/2507.07817","citing_paper":"/paper/2510.14113"},"observation_digest":"sha256:35f22a962add8fc4fd3ecaca7b223c4081074da37260cc0933cd566143eccfd3","observation_id":"8034b70e-700c-47ee-bb2a-bf3a1b52a4e6","resolution":{"observed_at":"2026-08-04T09:40:26.422021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.07817/citation-record","integrity":"/paper/2507.07817/integrity","json":"/paper/2507.07817/citation-record.json","paper":"/paper/2507.07817"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:54.678596Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:54.678596Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:4c51d65ce645ae50f01852857c57772d4263ca908c312b0f531271f9d174eede","observation_id":"52180759-c1e1-4de9-94f1-c47ba846f76e","resolution":{"observed_at":"2026-08-06T18:38:54.678596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:54.738571Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:54.738571Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:931a385252c0f24b9fce8f1d7fb24c35673dbc921c41421bdcbb6e7a88e921b3","observation_id":"d4de4059-c157-4049-94b1-757b9f92115e","resolution":{"observed_at":"2026-08-06T18:38:54.738571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02465","last_updated":"2025-09-13T05:11:42Z","snapshot_observed_at":"2026-08-09T03:30:24.011808Z","submitted_at":"2024-10-03T13:15:19Z","title":"Revealing the Inherent Instructability of Pre-Trained Language Models","version":3},"cited_work":{"arxiv_id":"2410.02465","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.02465","snapshot_observed_at":"2026-08-06T18:39:02.506102Z","title":"Revealing the Inherent Instructability of Pre-Trained Language Models","venue":"cs.CL","work_id":"7c03f7dc-b1cf-4907-b59e-c16b90b53633","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:54.870834Z"},"links":{"cited_paper":"/paper/2410.02465","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:0c44607da201e0ca6c600d074cd9aeacb47b3cf60b79c852e343ae488467be08","observation_id":"4e881b73-1920-45d4-a053-b9e5ba6912ec","resolution":{"observed_at":"2026-08-06T18:39:02.555504Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:07.713317Z","title":"Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, and Donald Metzler","venue":null,"work_id":"c5bcc441-fb78-4c92-a11a-143ef4af2dff","year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.031082Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:e49ba789c408e7a2fff5c51a0eeb950823ad26471fa566de6755b088f2f7a665","observation_id":"d4a526ae-2e1f-40ef-9446-78d66257ef1f","resolution":{"observed_at":"2026-08-06T18:39:07.835578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:07.427131Z","title":"Chen, Laurel Orr, Neel Guha, Kush Bhatia, Ines Chami, and Christopher Re","venue":null,"work_id":"e1d0dba7-48df-4bcd-bec6-aa52157756bb","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.143439Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:07bf8a75abe741d294c20d75a4b9c32e453a4df393558fffdd0316c3463880bb","observation_id":"d8349867-e0b2-4d64-96e3-a475611ae6c7","resolution":{"observed_at":"2026-08-06T18:39:07.585777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:07.194780Z","title":null,"venue":null,"work_id":"5a8e68bc-c468-4de2-a69a-7217e06ee537","year":2020},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.229337Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:e7432682b5387df317fc340395c9d46ae9eae3e0e555e70012300f0ce5a7cfee","observation_id":"52608195-0f84-4457-9f94-ae788f4ec4c3","resolution":{"observed_at":"2026-08-06T18:39:07.311316Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:55.353619Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.353619Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:fd648020a2cdc9fe9fd8aa471a9cb4f59917ad998ce07d3fa464dec60bfe10bd","observation_id":"13c21061-ed4b-4017-bb75-4c0675c12a5b","resolution":{"observed_at":"2026-08-06T18:38:55.353619Z","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":"2026-08-06T18:39:06.942113Z","title":"Gonzalez, Ion Stoica, and Eric P","venue":null,"work_id":"cc2994c8-56cb-47d6-bd56-3011e654cb21","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.450333Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:5e40fcf4e54450acad5370a1043a86342063d5772dd08b91f96fdfc19ef3b7d8","observation_id":"c4b27c54-4005-4c67-83d6-23ec70906e47","resolution":{"observed_at":"2026-08-06T18:39:07.070232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:06.697766Z","title":"Le, Sergey Levine, and Yi Ma","venue":null,"work_id":"aae0f4ea-ea74-4a4d-9786-2b87dfa51083","year":2025},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.523293Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:030d822f6845eaedad998c0ebedca7e515c7db7f54d0741e2281084d6d96a774","observation_id":"fdd0fad1-c8f5-4219-9df4-324ee3925586","resolution":{"observed_at":"2026-08-06T18:39:06.828179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:06.486451Z","title":"Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V","venue":null,"work_id":"f8ee55ef-8b12-4dc2-b213-5714211e17ab","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.592876Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:5ef27afbdc21610603f2f52b3c4d6d0c88a2ed5499dcac395de5dbc0ac93c58d","observation_id":"70cdd3b8-3e93-41ea-ad5c-d6b314782018","resolution":{"observed_at":"2026-08-06T18:39:06.582869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:55.659485Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.659485Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:773f38f49eb7c84915e8a686d1eaafb15e703ce3325b28e95d1b63e3b6d8975a","observation_id":"d050c4ef-052d-458d-9b6a-9fa5268ac39e","resolution":{"observed_at":"2026-08-06T18:38:55.659485Z","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":"2026-08-06T18:39:06.275959Z","title":null,"venue":null,"work_id":"2ba8f345-3751-4130-b9bb-3e830471fed7","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.723265Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:7a238d34ab81cd51895d47b0da67f0a42f3b18276821e37c9fa2d75aa648a37a","observation_id":"b2ae10e1-5a98-46cd-830f-c3a978b4fa30","resolution":{"observed_at":"2026-08-06T18:39:06.370807Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:06.040952Z","title":null,"venue":null,"work_id":"2ecb908e-356c-4f3d-9ea0-fc0a0aca9a67","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.794286Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:ebd4056895dd434761743659242c819a344a4b93834df8b8be3021970c858119","observation_id":"c9521bef-2adb-44a9-9955-a86d13d61041","resolution":{"observed_at":"2026-08-06T18:39:06.144964Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:55.864675Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.864675Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:c3b8b05584da9eee1b71ea2756d0efddc499be6a493b74bac78ce78fefef4987","observation_id":"9f3c8466-6e3a-4b55-b03f-8acb1715bd2c","resolution":{"observed_at":"2026-08-06T18:38:55.864675Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:55.938742Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:55.938742Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:b3dfe2ffd12300278c9d438af2ba3404d53b0436d84514dcacc665278e036c88","observation_id":"fa646b71-1c20-40b3-a0fa-335f24ef05ca","resolution":{"observed_at":"2026-08-06T18:38:55.938742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:56.062907Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.062907Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:6982fc495b9f8a15b43e46927e962056d568a0ad8eb7cd5c9679503b525224cc","observation_id":"5a7d8836-0f8a-4a08-8fb3-8c6bea7b0643","resolution":{"observed_at":"2026-08-06T18:38:56.062907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:56.175350Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.175350Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:a564d3e6b660062588abe783fbee477025282ef43148a4a1716b996e8663cf33","observation_id":"a60e2bf7-cb82-42c2-91b4-641c7e68bb1e","resolution":{"observed_at":"2026-08-06T18:38:56.175350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.14254","last_updated":"2024-09-21T22:36:22Z","snapshot_observed_at":"2026-08-10T16:52:55.485477Z","submitted_at":"2024-09-21T22:36:22Z","title":"Instruction Following without Instruction Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.14254","snapshot_observed_at":"2026-08-06T18:38:56.252327Z","title":"Liu, Percy Liang, and Christopher D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.252327Z"},"links":{"cited_paper":"/paper/2409.14254","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:641a73482708c0b8f16338777f5237fbde7da66058e983d4dcf1ec9f7ed6f393","observation_id":"12721f7f-8853-4aaa-9b2a-5d66d467458d","resolution":{"observed_at":"2026-08-06T18:38:56.252327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:56.366173Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.366173Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:0572b3fabe19be927dbc4f7bb1e50bad539c00271736db4f99d7c09834a40c8a","observation_id":"3be05b8f-78c9-4a93-b39e-e01496f59e80","resolution":{"observed_at":"2026-08-06T18:38:56.366173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.10702","last_updated":"2023-11-20T02:01:33Z","snapshot_observed_at":"2026-08-09T03:30:59.643714Z","submitted_at":"2023-11-17T18:45:45Z","title":"Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.10702","snapshot_observed_at":"2026-08-06T18:38:56.434190Z","title":"Smith, Iz Beltagy, and Hannaneh Hajishirzi","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.434190Z"},"links":{"cited_paper":"/paper/2311.10702","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:79ad4c0aa73b2c66eaf0ce87eab72a97dbfd85ef8605a48d451e225aaf14510f","observation_id":"8a9be71a-6898-4a72-9189-cf22205c1faa","resolution":{"observed_at":"2026-08-06T18:38:56.434190Z","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":"2026-08-06T18:39:05.809069Z","title":"Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, and Tom Goldstein","venue":null,"work_id":"b5ead825-c3f2-4ce1-8a3b-a16dc6a1330f","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.522382Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:fb58caa18a3e3008d9aca902d4a3aa6f333cae06f39a75ac0e0df336b4a64a93","observation_id":"31506ad6-26e0-4be7-ac45-946e42f1d051","resolution":{"observed_at":"2026-08-06T18:39:05.929379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14742","last_updated":"2023-03-26T14:49:37Z","snapshot_observed_at":"2026-08-10T09:44:33.768213Z","submitted_at":"2023-03-26T14:49:37Z","title":"Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14742","snapshot_observed_at":"2026-08-06T18:38:56.605147Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.605147Z"},"links":{"cited_paper":"/paper/2303.14742","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:53aa54100f4a9477045b84eeb09288033b844174752bb8bac892273fe5353b61","observation_id":"ae540574-2e87-48fc-b57d-44d65ebbf887","resolution":{"observed_at":"2026-08-06T18:38:56.605147Z","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":"2026-08-06T18:39:05.551095Z","title":"o pf, Yannic Kilcher, Dimitri von R \\","venue":null,"work_id":"1a4408ef-473f-437f-ba02-64b862ebeb66","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.691678Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:8c5c55b08df243b777947d5a7f5c2fb394fa7da6e428ce52734f20e6bac922ce","observation_id":"fab1fb3b-8a66-4d26-99cf-5483cdaa78fa","resolution":{"observed_at":"2026-08-06T18:39:05.672669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.findings-emnlp.618","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"1c4e03e7-af85-4431-bad3-4c36e2e75f37","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.830094Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:47da0276466eb69c9e5535cab6ec7fcd0181be9670e81d0969e6aff9edb2ae81","observation_id":"7a981588-90bc-41ea-889f-07494d55d32d","resolution":{"observed_at":"2026-08-06T18:39:01.849604Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:05.292609Z","title":"Weston, and Mike Lewis","venue":null,"work_id":"93f32809-3fd3-4859-b828-430860b4eccd","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:56.943721Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:6f3f024392e8b55aa7845633d66217db6364727eae962c4dc16f321c40201e70","observation_id":"5a6b0ad2-0843-4449-8fac-70bf9e13de9a","resolution":{"observed_at":"2026-08-06T18:39:05.404642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:57.025320Z","title":"Hashimoto","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.025320Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:fd688c36cb89967a9bffe6c78d7189f80f30a5dfe41eb74abbbdad9d522b6654","observation_id":"5e28d2b7-a140-43b3-85a0-a7769731c893","resolution":{"observed_at":"2026-08-06T18:38:57.025320Z","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":"2026-08-06T18:39:05.021496Z","title":null,"venue":null,"work_id":"894d0629-6ee5-4e7a-bab5-99788fce646e","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.162735Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:bf0b8497287105609fa17c6d4e7b1ac6e90fcb98ed300e23ae4ef944556c4e75","observation_id":"599bb3ca-e2ae-45fb-b672-c9abe8fa205f","resolution":{"observed_at":"2026-08-06T18:39:05.151684Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:04.739493Z","title":"Le, Barret Zoph, Jason Wei, and Adam Roberts","venue":null,"work_id":"8f7b3856-29cf-4d82-866d-4d5e35e1120d","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.236136Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:c299471edf3b8185fd9e3c9887fc5f43e94654c6b4268a00c0c7d36530d502b9","observation_id":"b7273712-e3f5-4388-b8b5-6bf3d1e29432","resolution":{"observed_at":"2026-08-06T18:39:04.872787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:57.306620Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.306620Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:18c461614155d99aca51a21d3358b94842f6cc619e9c9a31e6263d8a22810d1c","observation_id":"2e9cf4e2-e9e3-494d-a5d0-9096f20bfc7b","resolution":{"observed_at":"2026-08-06T18:38:57.306620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.11045","last_updated":"2023-11-21T19:43:31Z","snapshot_observed_at":"2026-08-09T03:30:58.801577Z","submitted_at":"2023-11-18T11:44:52Z","title":"Orca 2: Teaching Small Language Models How to Reason","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.11045","snapshot_observed_at":"2026-08-06T18:38:57.399962Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.399962Z"},"links":{"cited_paper":"/paper/2311.11045","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:7f1fd737cd734d9d5ada7a2793945ea37a8192a97f75ee436eadf9c7aa448a4f","observation_id":"05aee944-6596-4c81-bef5-f473141eafdf","resolution":{"observed_at":"2026-08-06T18:38:57.399962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:57.517304Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.517304Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:306a211f1f998b474998056570e9755f8f2671a9f9235eb0f9c4982ce6d1f47d","observation_id":"9990a9e4-47e1-468d-b347-743007616d0a","resolution":{"observed_at":"2026-08-06T18:38:57.517304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02707","last_updated":"2023-06-05T08:58:39Z","snapshot_observed_at":"2026-08-09T03:29:22.849759Z","submitted_at":"2023-06-05T08:58:39Z","title":"Orca: Progressive Learning from Complex Explanation Traces of GPT-4","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02707","snapshot_observed_at":"2026-08-06T18:38:57.636924Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.636924Z"},"links":{"cited_paper":"/paper/2306.02707","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:4c5a6fff1294b5ae7bdbc037af99593a95a570e54bbf78a5a5aafbb8005b7ecd","observation_id":"a243e3b6-ccd7-4276-a695-3668e8e3857e","resolution":{"observed_at":"2026-08-06T18:38:57.636924Z","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":"2026-08-06T18:39:04.425979Z","title":null,"venue":null,"work_id":"8b0203fe-1d4b-45be-a896-35d16a598f95","year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.794255Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:b99ee365b87b40b88a4863d12caeebbefe689ce219e9274feda80281676b7aaf","observation_id":"1c428677-c8b9-4d46-b651-e34b7bc3c83c","resolution":{"observed_at":"2026-08-06T18:39:04.562265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.findings-acl.341","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"514bc90d-fe95-46a6-92ed-8e87635e8d6b","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:57.915689Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:830ffc533f6bc21928acc7163e08773fc923b944a538f8f9c360c1b77f3a4b54","observation_id":"e2960572-50be-4e7c-8545-2e8a4625523d","resolution":{"observed_at":"2026-08-06T18:39:01.632949Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:04.273765Z","title":null,"venue":null,"work_id":"18baf0f9-47dc-45c7-b51d-a977e4d48de9","year":2025},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.014818Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:bda46fa5f7a3c2c9056a6e890b14d2dbdc5be9b8c9ef9f749b309949c5c8f889","observation_id":"6c75196c-e23e-48b1-8a88-8b29c521ba2f","resolution":{"observed_at":"2026-08-06T18:39:04.347460Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03277","last_updated":"2023-04-06T17:58:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-06T17:58:09Z","title":"Instruction Tuning with GPT-4","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03277","snapshot_observed_at":"2026-08-06T18:38:58.135435Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.135435Z"},"links":{"cited_paper":"/paper/2304.03277","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:acca25f5440c676b1360dec1586f6ec6daa45b832973202150937ae375f15b67","observation_id":"2d57a8d5-5b86-42aa-b611-b764e9c0ff08","resolution":{"observed_at":"2026-08-06T18:38:58.135435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:58.242735Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.242735Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:6af2a90dbc68ac6d84c5c4e4f4ff36a64e7e11c0be05a318cccef7aa0b86d9ae","observation_id":"3d39664f-b989-49f1-8085-6bf38bf21563","resolution":{"observed_at":"2026-08-06T18:38:58.242735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:58.368745Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.368745Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:3ec91f746675feffacef5b410de849910c3923da4a620e4658866577c9ee92f2","observation_id":"f3da4b69-ba08-4109-9845-64dde92099e7","resolution":{"observed_at":"2026-08-06T18:38:58.368745Z","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":"2026-08-06T18:39:04.104945Z","title":null,"venue":null,"work_id":"9eca718d-e797-4bc1-8ae3-88b1bd3a08af","year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.512454Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:f3cf5d9a3ac69c8f8ffbab3e428c91a7259fa7300c4f89495050a547ef82a5e3","observation_id":"f9ccc152-589f-438c-bcb9-d5193efd6d98","resolution":{"observed_at":"2026-08-06T18:39:04.187530Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:03.907305Z","title":null,"venue":null,"work_id":"b4fe4bfc-6e17-41f4-bf8c-fb315129eb14","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.667929Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:18baa6b2299b86ba4ea878bbe736eae27081a632fc58ddcad978fbf902f00849","observation_id":"fa245173-9987-40ba-b717-abd9cf13ac40","resolution":{"observed_at":"2026-08-06T18:39:04.000381Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:03.609307Z","title":null,"venue":null,"work_id":"e8b83fda-25a5-428b-8879-564b3fa34502","year":2025},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.780516Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:19dad70ff7f76150b82b1e5ae3bbf86e28437079cb997b822bfcd8e74409e430","observation_id":"348635ac-e3ce-4120-8e16-64afa62ef221","resolution":{"observed_at":"2026-08-06T18:39:03.758532Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:58.895305Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:58.895305Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:05ac16e0cb27a893874b18b4f2f1de409df48964dbdd5da6168e0d018a53895d","observation_id":"a4e9e4ba-7baf-4876-823e-8b9b251a851b","resolution":{"observed_at":"2026-08-06T18:38:58.895305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:59.000434Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.000434Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:9fbfd75eca4b3807efa6499a4fb115a1cf8c98a60ebd4326a9eefe296296fcd8","observation_id":"ea79ea8e-115f-457d-810b-3fd55fd6a157","resolution":{"observed_at":"2026-08-06T18:38:59.000434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:59.120352Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.120352Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:081e9b6453a622bcfbf3826ecba812c86688a00d4275fc188ce7e24eacef5a9c","observation_id":"5bf321ce-9b60-44a7-a633-7882c5fe414c","resolution":{"observed_at":"2026-08-06T18:38:59.120352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-06T18:38:59.214667Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.214667Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:c81974ee9de86f053ff50f6fbe14fa3f40c045a0b4645bce4c828ed64d977d63","observation_id":"0eb06e13-2df2-4496-af57-f1fe6586bf67","resolution":{"observed_at":"2026-08-06T18:38:59.214667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:59.381533Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.381533Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:4671ab063a29a4d14f38978714443a847c46518a918968caa6398db979e9ebc9","observation_id":"6e6958e3-6fe4-45eb-bba6-8fc493420505","resolution":{"observed_at":"2026-08-06T18:38:59.381533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:59.532840Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.532840Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:d3b9e23060643e8de92180d36e03abc6f154836716529771a0143cb73ffde2dd","observation_id":"b16808fc-75fe-4697-84c2-9df7d48ab5e3","resolution":{"observed_at":"2026-08-06T18:38:59.532840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-07-06T12:50:22.773056Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-06T18:38:59.630390Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.630390Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:7f35d616953da79feac000739a36c4072013a763cd08ce872e59efa13b99fe40","observation_id":"fcd45a17-e3f1-4c3f-9455-09516e07d266","resolution":{"observed_at":"2026-08-06T18:38:59.630390Z","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":"2026-08-06T18:39:03.371186Z","title":"Smith, Iz Beltagy, and Hannaneh Hajishirzi","venue":null,"work_id":"6249a8cf-2895-4378-be70-5d6793f98bce","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.755939Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:28f5abfb32048955e23ab2156f272b5571892f51bbdc999be123b9f41dce6537","observation_id":"6928e347-6c51-422e-908a-fd1b6fe4e3c0","resolution":{"observed_at":"2026-08-06T18:39:03.475645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:38:59.943784Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T18:38:59.943784Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:92bf9c77c423881004c1ff46a240d647dace55e386e87bbb04634b3d5ec7f9a6","observation_id":"f54fbe1b-149b-4e31-b27d-5b36558c7bff","resolution":{"observed_at":"2026-08-06T18:38:59.943784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01700","last_updated":"2024-08-02T03:56:35Z","snapshot_observed_at":"2026-08-10T01:44:14.309326Z","submitted_at":"2023-12-04T07:42:16Z","title":"Data Management For Training Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01700","snapshot_observed_at":"2026-08-06T18:39:00.075360Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.075360Z"},"links":{"cited_paper":"/paper/2312.01700","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:09387d4b356bf2e11f6df4d7d25601d113e45f1555edd6437bb6bcd48693216a","observation_id":"4ec07e25-2e1b-4c60-a2f5-884e137ba013","resolution":{"observed_at":"2026-08-06T18:39:00.075360Z","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":"2026-08-06T18:39:03.169476Z","title":"Dai, and Quoc V","venue":null,"work_id":"bb70d556-d1da-4de9-8a29-4b745ed489a5","year":2022},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.205436Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:9a15f474f811c455db5ddba78bc3e11e7e890da0cb21b71c9130c83124d67f52","observation_id":"0bda8432-b75a-412b-8967-9148721c6476","resolution":{"observed_at":"2026-08-06T18:39:03.226905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00096","last_updated":"2024-08-27T01:21:53Z","snapshot_observed_at":"2026-07-06T19:08:26.637143Z","submitted_at":"2024-08-27T01:21:53Z","title":"Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data","version":1},"cited_work":{"arxiv_id":"2409.00096","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.00096","snapshot_observed_at":"2026-08-06T18:39:02.197791Z","title":"Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data","venue":"cs.CL","work_id":"2efe143d-9f8b-4cee-8fca-9b3a62284ba6","year":2024},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.401073Z"},"links":{"cited_paper":"/paper/2409.00096","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:e7ddb51441c2d50b7cf3b768d7eebcd2ff7412cebd0ed6fde480cb36a7333309","observation_id":"c347d377-719c-4bf3-b598-f2d9c3f16a84","resolution":{"observed_at":"2026-08-06T18:39:02.292953Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.01825","last_updated":"2023-09-13T03:57:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-03T15:34:01Z","title":"Scaling Relationship on Learning Mathematical Reasoning with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.01825","snapshot_observed_at":"2026-08-06T18:39:00.565921Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.565921Z"},"links":{"cited_paper":"/paper/2308.01825","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:1b92f84b6a778e9bef9241e738f2df1816001d788a793bd49cd269466e50302e","observation_id":"5e35cf4a-3b5c-46cc-8d2f-c2c8cda94287","resolution":{"observed_at":"2026-08-06T18:39:00.565921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:00.694837Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.694837Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:5fc95ce86b3e708b99ad71d47462bcbc448a7002ee0c0c519303511e5c467e0a","observation_id":"6a2fba4d-e846-4384-977d-1e8939faa2da","resolution":{"observed_at":"2026-08-06T18:39:00.694837Z","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":"2026-08-06T18:39:02.954198Z","title":null,"venue":null,"work_id":"099c16b9-a7e9-4b42-8b6b-c211a3555053","year":2021},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:00.845604Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:67283caefb1013d3c866ecb9c6fdc05ce3e478346e85511068e9464c7dbb00a7","observation_id":"dfedfad8-f290-4ab9-b5ea-e31257b1fe14","resolution":{"observed_at":"2026-08-06T18:39:03.078272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:39:01.007127Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:01.007127Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:cfee0eb4ecaa2d54d47ec845446d7748f50aeed12c0f114a237fd42dbab8ef23","observation_id":"7862a851-2a38-48ce-a4ed-92e1177420bf","resolution":{"observed_at":"2026-08-06T18:39:01.007127Z","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":"2026-08-06T18:39:02.712876Z","title":null,"venue":null,"work_id":"e5be9f05-9d8d-4828-82a0-7ebf3b817e3a","year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:01.119912Z"},"links":{"citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:4d530b7a4b849f0aea24f1e0628cf1bcb53a354a922cf9fff49eb4296baadee8","observation_id":"e1188704-713a-4ae9-872f-86a32a21fd8d","resolution":{"observed_at":"2026-08-06T18:39:02.856724Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07911","last_updated":"2023-11-14T05:13:55Z","snapshot_observed_at":"2026-07-06T16:47:08.877195Z","submitted_at":"2023-11-14T05:13:55Z","title":"Instruction-Following Evaluation for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07911","snapshot_observed_at":"2026-08-06T18:39:01.282592Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T18:39:01.282592Z"},"links":{"cited_paper":"/paper/2311.07911","citing_paper":"/paper/2507.07817"},"observation_digest":"sha256:9a6a81785a9c7d11f4dafd3783a4aaa397d69f9c8c021f4f54e4f2b72b9854ca","observation_id":"17f46728-4097-4e99-b4c6-84e6d49acfea","resolution":{"observed_at":"2026-08-06T18:39:01.282592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.07817","last_updated":"2025-07-15T11:42:05Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T20:16:45.396554Z","submitted_at":"2025-07-10T14:46:33Z","title":"On the Effect of Instruction Tuning Loss on Generalization"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":4,"verified_fuzzy":11},"total_outbound_references":59},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2507.07817."}