{"as_of":"2026-08-20T23:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b36d8bab1422ceb8ab2cab8c33f066c6ef65e3700036a38b6f156d92e204e7fa","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:12:54.759401Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.16312/citation-record","integrity":"/paper/2504.16312/integrity","json":"/paper/2504.16312/citation-record.json","paper":"/paper/2504.16312"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.07998","last_updated":"2018-09-24T20:29:35Z","snapshot_observed_at":"2026-08-14T19:23:29.146303Z","submitted_at":"2018-04-21T17:02:20Z","title":"Generating Natural Language Adversarial Examples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07998","snapshot_observed_at":"2026-08-16T11:12:54.679674Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.679674Z"},"links":{"cited_paper":"/paper/1804.07998","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:5539dbb68c90b11954b1f825868290d445a841bb7834e7fce2b1c7a9384ad1b1","observation_id":"73e47b87-feb6-44f1-a6db-0ab2210c473a","resolution":{"observed_at":"2026-08-16T11:12:54.679674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12288","last_updated":"2024-05-26T17:45:21Z","snapshot_observed_at":"2026-08-18T12:34:52.153518Z","submitted_at":"2023-09-21T17:52:19Z","title":"The Reversal Curse: LLMs trained on \"A is B\" fail to learn \"B is A\"","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12288","snapshot_observed_at":"2026-08-16T11:12:54.684418Z","title":"a is b\" fail to learn","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.684418Z"},"links":{"cited_paper":"/paper/2309.12288","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:b72ca6611b4251347cc1cf81f888cf249c79380f73d44a15c72abc83e082365b","observation_id":"1c8dcd3f-76b2-4de1-9790-537595e5db9b","resolution":{"observed_at":"2026-08-16T11:12:54.684418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08164","last_updated":"2021-09-08T20:44:44Z","snapshot_observed_at":"2026-08-19T03:27:20.801850Z","submitted_at":"2021-04-16T15:24:42Z","title":"Editing Factual Knowledge in Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08164","snapshot_observed_at":"2026-08-16T11:12:54.688838Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.688838Z"},"links":{"cited_paper":"/paper/2104.08164","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:01aefeb59505a92e7c2df1258af1065a9b18fc0a5f23d2e81bdf82ba212e1c97","observation_id":"f42014f1-d73a-4634-8b49-732f3714c4fa","resolution":{"observed_at":"2026-08-16T11:12:54.688838Z","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":"2026-08-16T11:12:54.693476Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.693476Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:6c7e2513f234e344264d3b6a8be216ee476d96c7a148435e8918d1b98baa464d","observation_id":"d5fde5cf-2236-44b0-a2bc-a1cd4b59b528","resolution":{"observed_at":"2026-08-16T11:12:54.693476Z","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":"2026-08-16T11:12:55.023633Z","title":null,"venue":null,"work_id":"af8dcef7-7db9-4e15-b90b-b98d7e622aa9","year":2000},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.697391Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:5248a32243fcfe50d9aa3c93ec067b9a1e30bb625e52edb9a5d2b126bd5ef1c5","observation_id":"c6789b1d-082a-4246-a51b-090e3882dcb7","resolution":{"observed_at":"2026-08-16T11:12:55.027982Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T11:12:55.008578Z","title":null,"venue":null,"work_id":"60af087c-39aa-4789-b836-1cc1623456b6","year":2023},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.701110Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:9ae50cdaab42dea36253b9c48231a9514886e92a7edf178652b1979e64c56e57","observation_id":"2a410804-91de-44d6-8494-6cdcfe877272","resolution":{"observed_at":"2026-08-16T11:12:55.012846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T11:12:54.705482Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.705482Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:b820285d622f7db372831abe358d9e4c8cf8798245b92f5c83f2f82ef3ea6e29","observation_id":"c699b801-3b58-4c3b-8e92-0799f43398a3","resolution":{"observed_at":"2026-08-16T11:12:54.705482Z","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":"2026-08-16T11:12:54.995353Z","title":null,"venue":null,"work_id":"8c1854f4-402a-4402-88d3-e642310c4ca1","year":2022},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.709241Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:3a4235267499ea41b11c1e254593ba8af59f5e574dabb5a7036eb1174054456c","observation_id":"c2967dc4-5a28-4324-8848-b41142f899fe","resolution":{"observed_at":"2026-08-16T11:12:54.999144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T11:12:54.981632Z","title":null,"venue":null,"work_id":"32d8d28a-3a6f-4373-bb72-bbb075f9ff08","year":2022},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.712820Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:be1b32de796a49bc05b0f6a777f5c44821fc67c502927804409ef84ca3060e57","observation_id":"8ab81127-33d6-45f4-934b-96ec566e0e0d","resolution":{"observed_at":"2026-08-16T11:12:54.985931Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T11:12:54.716414Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.716414Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:083a04cbee459acbae58bb736c87f607a98777baaabeb14d762966d62e0a6564","observation_id":"0c2101a0-073d-4916-af4e-8fd14d87c6d3","resolution":{"observed_at":"2026-08-16T11:12:54.716414Z","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":"2026-08-16T11:12:54.720140Z","title":"Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.720140Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:91644ed51c8ae72921c95493466cf0d2022ad30757b06368810ef3607aa28bd3","observation_id":"12de185b-fe39-4332-87e5-51292f267f95","resolution":{"observed_at":"2026-08-16T11:12:54.720140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-08-14T05:02:11.716316Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-16T11:12:54.724135Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.724135Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:21889118db7e3df184b71dd687cc450cb477760a8511eaca624e1c419b4f33d5","observation_id":"9e241669-6ce1-462b-b25b-a4a22bb80353","resolution":{"observed_at":"2026-08-16T11:12:54.724135Z","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":"2026-08-16T11:12:54.968025Z","title":null,"venue":null,"work_id":"30dd242b-a4de-4305-b7bd-c6dd299209a5","year":2013},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.727706Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:60b658e03702e2e18fc19397827054aa3ac29782debdd959cd31cbf94b11a716","observation_id":"bd7ff8e9-3150-4242-8262-fa5455db5f54","resolution":{"observed_at":"2026-08-16T11:12:54.971895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T11:12:54.953606Z","title":null,"venue":null,"work_id":"84d804d5-d11f-4115-bb13-a08281ceaa6f","year":2020},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.731306Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:8021934c234105ecdc38edae2070df35a944df6ee21a7bfcd011ae33d5a86d38","observation_id":"324645ec-1572-4a20-b9c3-166e05c9d436","resolution":{"observed_at":"2026-08-16T11:12:54.958466Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.01172","last_updated":"2020-02-26T14:28:42Z","snapshot_observed_at":"2026-08-20T08:32:26.363931Z","submitted_at":"2019-04-02T02:09:01Z","title":"Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.01172","snapshot_observed_at":"2026-08-16T11:12:54.735098Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.735098Z"},"links":{"cited_paper":"/paper/1904.01172","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:7037d873049b589cdd066ec182af8e4fb757e47fb673d7de4d39946aaa28e7fa","observation_id":"bca56780-a860-4004-8cee-9c8a5b8c4b82","resolution":{"observed_at":"2026-08-16T11:12:54.735098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10197","last_updated":"2019-02-26T20:15:09Z","snapshot_observed_at":"2026-08-18T06:15:13.456287Z","submitted_at":"2019-02-26T20:15:09Z","title":"RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10197","snapshot_observed_at":"2026-08-16T11:12:54.739044Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.739044Z"},"links":{"cited_paper":"/paper/1902.10197","citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:194c758a7d175de3a76e3008a46f2ef95b348c01fc66cbfe5ac923561ed73c04","observation_id":"76c01029-33a3-4623-969f-5bf11ec4a7c9","resolution":{"observed_at":"2026-08-16T11:12:54.739044Z","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":"2026-08-16T11:12:54.743033Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.743033Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:4531ef9093a009185811eecd6ac8ddf1a2023aef15b935c39ed3e5b5d5bf9cd6","observation_id":"e8394c8d-3d33-4348-98ed-3f975f2074ae","resolution":{"observed_at":"2026-08-16T11:12:54.743033Z","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":"2026-08-16T11:12:54.746611Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.746611Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:4cc675692e1691dc78908365b212d47604f82de5ebe7037c219523daba11bb1f","observation_id":"8065f769-f016-46cf-a368-0e8870a26d9f","resolution":{"observed_at":"2026-08-16T11:12:54.746611Z","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":"2026-08-16T11:12:54.750274Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.750274Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:6c7918c08b2075f27044fff7790c805a54555b7b27843c6ac97404922f4b0f9a","observation_id":"0a71b4c0-813f-4ec5-89a9-4b4a1a6e7ba1","resolution":{"observed_at":"2026-08-16T11:12:54.750274Z","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":"2026-08-16T11:12:54.754486Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.754486Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:6fa01b1efdf7cee7461fa106681876241503274850fd7eaa722194faa5fefebe","observation_id":"b6c7792a-11a2-439c-9c3c-15451f58a7f6","resolution":{"observed_at":"2026-08-16T11:12:54.754486Z","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":"2026-08-16T11:12:54.759401Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T11:12:54.759401Z"},"links":{"citing_paper":"/paper/2504.16312"},"observation_digest":"sha256:936e1bb66b461fdd6b3c1e4dc15d69c6af0a936f43c3c4b3ece25b997029691f","observation_id":"f7961a7c-b220-4d09-a2e6-84bc6c4eb109","resolution":{"observed_at":"2026-08-16T11:12:54.759401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.16312","last_updated":"2025-04-22T23:11:50Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T15:42:26.279445Z","submitted_at":"2025-04-22T23:11:50Z","title":"Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.16312."}