{"as_of":"2026-08-17T23:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:caf711fb77fa8101b04ade61d895f1c9830832a64cde09124c1e312b4ff5fe3e","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:18:55.958059Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-15T22:18:55.958059Z","title":"Information flow routes: Automatically interpreting language models at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07528","last_updated":"2025-05-12T13:10:46Z","snapshot_observed_at":"2026-08-16T12:09:39.298273Z","submitted_at":"2025-05-12T13:10:46Z","title":"SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:18:55.958059Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2505.07528"},"observation_digest":"sha256:2c15dbd1004edc3eeb73f6ea458074426f6af5866260237d17bf28f8f3e6b699","observation_id":"fe91fb74-de08-4c39-a398-ef746591b493","resolution":{"observed_at":"2026-08-15T22:18:55.958059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-15T20:28:18.963665Z","title":"Ferrando and E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.12886","last_updated":"2025-05-19T09:16:40Z","snapshot_observed_at":"2026-08-15T20:22:03.928200Z","submitted_at":"2025-05-19T09:16:40Z","title":"Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:28:18.963665Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2505.12886"},"observation_digest":"sha256:a64c42bd6f32da48573e7ac223986768620c6fda45a09970ef81f1d5d5c2e907","observation_id":"31961683-f701-4bb6-b9e0-f504722d01e3","resolution":{"observed_at":"2026-08-15T20:28:18.963665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2506.13727","last_updated":"2026-05-07T16:37:45Z","snapshot_observed_at":"2026-08-13T10:46:49.331736Z","submitted_at":"2025-06-16T17:38:36Z","title":"Attribution-Guided Pruning for Insight and Control: Circuit Discovery and Targeted Correction in Small-scale LLMs","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T08:52:45.818050Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2506.13727"},"observation_digest":"sha256:ba0cab98bdc66e5c680a044b3697c84de0bbf91d74d04e94cad0b8d48aabc2aa","observation_id":"eec69f99-60cc-43b9-b10a-421c1dd10077","resolution":{"observed_at":"2026-05-19T08:53:04.110587Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-04T12:47:19.764534Z","title":"Information flow routes: Automatically interpreting language models at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.02524","last_updated":"2026-06-10T18:22:28Z","snapshot_observed_at":"2026-08-17T07:33:59.959071Z","submitted_at":"2025-10-02T19:52:19Z","title":"Unraveling Syntax: Language Modeling and the Substructure of Grammars","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T12:47:19.764534Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2510.02524"},"observation_digest":"sha256:95da31433973df97ccad9e985bdac8388d8ab1d0f25b0e271a143783520e5886","observation_id":"16916f46-d483-4e84-8381-fe0bc7fc91ef","resolution":{"observed_at":"2026-08-04T12:47:19.764534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-04T08:14:35.922218Z","title":"Information flow routes: Automatically interpreting language models at scale.arXiv preprint arXiv:2403.00824,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.22067","last_updated":"2026-05-29T17:43:25Z","snapshot_observed_at":"2026-08-06T06:21:50.480419Z","submitted_at":"2025-10-24T23:04:26Z","title":"Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T08:14:35.922218Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2510.22067"},"observation_digest":"sha256:418aa172c3d7940f8339bb366823e89344a3c6017d52e95afdb29388eba5a86e","observation_id":"19dfcfd5-bdc8-44fd-a210-9d3f803fef97","resolution":{"observed_at":"2026-08-04T08:14:35.922218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2604.08192","last_updated":"2026-04-09T12:44:19Z","snapshot_observed_at":"2026-08-15T19:01:08.201988Z","submitted_at":"2026-04-09T12:44:19Z","title":"Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T18:28:49.855280Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2604.08192"},"observation_digest":"sha256:310f6de18c36d8de28c894e0c5712a5d51da2dd501247725aa20de8519bca4c8","observation_id":"e0451e45-0e3f-444e-8fb1-92217fb3373a","resolution":{"observed_at":"2026-05-11T00:30:54.115340Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2605.10622","last_updated":"2026-05-11T14:16:25Z","snapshot_observed_at":"2026-08-17T15:07:11.268566Z","submitted_at":"2026-05-11T14:16:25Z","title":"Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-05-12T05:15:34.156717Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2605.10622"},"observation_digest":"sha256:4df99bd8d97efeede4c69c160691db49b7abbba1f36ad719ca55585425c09715","observation_id":"753585a1-fe72-4927-867e-16faccddc5cb","resolution":{"observed_at":"2026-05-12T05:16:24.303047Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2605.12299","last_updated":"2026-05-12T15:52:30Z","snapshot_observed_at":"2026-08-14T22:35:48.833458Z","submitted_at":"2026-05-12T15:52:30Z","title":"GKnow: Measuring the Entanglement of Gender Bias and Factual Gender","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-13T04:50:43.547037Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2605.12299"},"observation_digest":"sha256:166080bb464d6ffed6ee7c2806d5308844ca266cc832b0ffc74fbea63fa823d3","observation_id":"34260448-1cf7-4ca9-ad0a-53d2c972ecce","resolution":{"observed_at":"2026-05-13T04:52:16.748148Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2606.00831","last_updated":"2026-05-30T18:05:35Z","snapshot_observed_at":"2026-07-06T23:41:30.158879Z","submitted_at":"2026-05-30T18:05:35Z","title":"Subliminal Learning is a LoRA Artifact","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-28T18:28:42.513733Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2606.00831"},"observation_digest":"sha256:40decaf12968600e7b449b7f6b77598ff1233f063126d46e9564551ee11bd62b","observation_id":"fcc9d696-6781-4bb0-a2f5-d6eb8a37462c","resolution":{"observed_at":"2026-06-28T20:42:37.574837Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2606.07604","last_updated":"2026-05-29T09:40:38Z","snapshot_observed_at":"2026-08-03T04:00:50.272221Z","submitted_at":"2026-05-29T09:40:38Z","title":"Contribution Weights: A Geometrical Analysis of Self-Attention Transformers","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-06-28T23:29:02.457697Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2606.07604"},"observation_digest":"sha256:f4b52f33c1782a068bec3f86120ee66303ddc045c2d22130dd8fa8b62532fa4e","observation_id":"e3bd9e38-8d79-4d47-bd34-59d33bc2e570","resolution":{"observed_at":"2026-06-28T23:32:46.698125Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale","version":2},"cited_work":{"arxiv_id":"2403.00824","doi":"10.48550/arxiv.2403.00824","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.00824","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and V oita, E","venue":"arXiv (Cornell University)","work_id":"a5d34930-2ae0-4717-9ab9-190cbdf4384c","year":2024},"citing_paper":{"arxiv_id":"2606.29139","last_updated":"2026-06-28T01:00:22Z","snapshot_observed_at":"2026-08-15T09:56:09.383258Z","submitted_at":"2026-06-28T01:00:22Z","title":"How Token Influence Decays with Distance: A Green-Function View of Trained Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T08:20:19.514808Z"},"links":{"cited_paper":"/paper/2403.00824","citing_paper":"/paper/2606.29139"},"observation_digest":"sha256:7bf514385d79b7f79fa3897f7ac602264ac80a1eba4383e5ee1d7110d0554a15","observation_id":"56962fad-b42a-4956-b1a0-0b5c4ade6d89","resolution":{"observed_at":"2026-06-30T08:24:25.822034Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.00824/citation-record","integrity":"/paper/2403.00824/integrity","json":"/paper/2403.00824/citation-record.json","paper":"/paper/2403.00824"},"outbound":[],"paper":{"arxiv_id":"2403.00824","last_updated":"2024-04-16T23:32:38Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:15:06.273615Z","submitted_at":"2024-02-27T00:24:42Z","title":"Information Flow Routes: Automatically Interpreting Language Models at Scale"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.00824."}