{"as_of":"2026-08-11T19:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2de56e375c651c166a62229bdce4f2ba8fd02aa8bc5d8fccf81e595453cf5e4","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:41:04.951422Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-11T15:41:04.951422Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10837","last_updated":"2024-12-14T14:08:06Z","snapshot_observed_at":"2026-08-11T15:32:00.471439Z","submitted_at":"2024-12-14T14:08:06Z","title":"A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-11T15:41:04.951422Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2412.10837"},"observation_digest":"sha256:2266681a3883b5f7027c6204b3dfd62d98075749a88be3a37701a40a21775038","observation_id":"4117dfff-a95c-4dc3-a47b-784ef462d45d","resolution":{"observed_at":"2026-08-11T15:41:04.951422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-06T22:13:46.480784Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02940","last_updated":"2025-06-27T15:59:14Z","snapshot_observed_at":"2026-08-09T21:43:48.853193Z","submitted_at":"2025-06-27T15:59:14Z","title":"Towards a Comparative Framework for Compositional AI Models","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T22:13:46.480784Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2507.02940"},"observation_digest":"sha256:35df63a7d85e74605f4495418f2b3f8af2e4f51c20140659078737ce5e341d83","observation_id":"d551dde1-f93b-4608-ad1c-1f3230c9a7ee","resolution":{"observed_at":"2026-08-06T22:13:46.480784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":"2406.17583","doi":"10.48550/arxiv.2406.17583","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv , year =","venue":"arXiv (Cornell University)","work_id":"dbd17281-7558-46ad-8ad1-8204592877c6","year":1956},"citing_paper":{"arxiv_id":"2605.08891","last_updated":"2026-05-09T11:16:34Z","snapshot_observed_at":"2026-08-11T11:57:23.271369Z","submitted_at":"2026-05-09T11:16:34Z","title":"Bilinear autoencoders find interpretable manifolds","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-12T01:25:35.920367Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2605.08891"},"observation_digest":"sha256:7fe4d0e87ee6104ecd9ceb65dea20f53f348668fb3b2d76ca2981e33c6d2b175","observation_id":"12f5da98-1980-45f7-8046-5fdf0a30c9b7","resolution":{"observed_at":"2026-05-12T01:26:13.889388Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":"2406.17583","doi":"10.48550/arxiv.2406.17583","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv , year =","venue":"arXiv (Cornell University)","work_id":"dbd17281-7558-46ad-8ad1-8204592877c6","year":1956},"citing_paper":{"arxiv_id":"2605.08934","last_updated":"2026-06-16T20:17:16Z","snapshot_observed_at":"2026-08-11T08:05:03.537052Z","submitted_at":"2026-05-09T13:08:07Z","title":"From Mechanistic to Compositional Interpretability","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-12T02:42:26.173782Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2605.08934"},"observation_digest":"sha256:1f6f4d8aa18b3d4582bdbef935040e97d56a2a93611c2e9ed34d9d1321ec2da3","observation_id":"1fedaae5-e780-4f1e-b846-971e19b56ce6","resolution":{"observed_at":"2026-05-12T02:46:18.319514Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":"2406.17583","doi":"10.48550/arxiv.2406.17583","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv , year =","venue":"arXiv (Cornell University)","work_id":"dbd17281-7558-46ad-8ad1-8204592877c6","year":1956},"citing_paper":{"arxiv_id":"2606.12289","last_updated":"2026-06-10T16:26:22Z","snapshot_observed_at":"2026-08-08T04:41:26.139144Z","submitted_at":"2026-06-10T16:26:22Z","title":"The Standard Interpretable Model: A general theory of interpretable machine learning to deductively design interpretable methods using Lagrangian mechanics","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T10:51:25.700776Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2606.12289"},"observation_digest":"sha256:37fb5a0b344119f737c195557678f5ca2ebd61ba2d05bad78b3588860f05cb38","observation_id":"8a7345d0-96c6-4801-9abc-3a9df9ecd1b7","resolution":{"observed_at":"2026-07-03T08:17:45.542872Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":"2406.17583","doi":"10.48550/arxiv.2406.17583","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv , year =","venue":"arXiv (Cornell University)","work_id":"dbd17281-7558-46ad-8ad1-8204592877c6","year":1956},"citing_paper":{"arxiv_id":"2607.00365","last_updated":"2026-07-01T03:04:46Z","snapshot_observed_at":"2026-07-07T00:06:03.968882Z","submitted_at":"2026-07-01T03:04:46Z","title":"When AI meets quantum information: A comprehensive review","version":1},"reference_index":217,"source":"pdf_text","source_observed_at":"2026-07-02T12:41:14.114824Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2607.00365"},"observation_digest":"sha256:174d8d45c695da8e6c33096bc0b342fef3330144d949c371ac266cdec598f97a","observation_id":"3179bf61-48ca-4277-ae7d-fa7375ce58ba","resolution":{"observed_at":"2026-07-02T12:46:56.296583Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI","version":1},"cited_work":{"arxiv_id":"2406.17583","doi":"10.48550/arxiv.2406.17583","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17583","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv , year =","venue":"arXiv (Cornell University)","work_id":"dbd17281-7558-46ad-8ad1-8204592877c6","year":1956},"citing_paper":{"arxiv_id":"2607.01047","last_updated":"2026-07-01T15:08:02Z","snapshot_observed_at":"2026-08-07T14:53:02.059078Z","submitted_at":"2026-07-01T15:08:02Z","title":"Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-07-02T12:46:40.700728Z"},"links":{"cited_paper":"/paper/2406.17583","citing_paper":"/paper/2607.01047"},"observation_digest":"sha256:7501d8d0a3da15287e15e6b88952ba0c8bc611782cb5364124d91266c4982695","observation_id":"f64899e8-f982-49e4-ba63-8d1ef1fa5fca","resolution":{"observed_at":"2026-07-02T12:46:56.212830Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.17583/citation-record","integrity":"/paper/2406.17583/integrity","json":"/paper/2406.17583/citation-record.json","paper":"/paper/2406.17583"},"outbound":[],"paper":{"arxiv_id":"2406.17583","last_updated":"2024-06-25T14:27:03Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T22:36:32.690038Z","submitted_at":"2024-06-25T14:27:03Z","title":"Towards Compositional Interpretability for XAI"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.17583."}