{"as_of":"2026-08-09T03:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cddbe451de11cccfc2e3efe8d40545a1383e8c061abe793886466c81d6bc8960","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:44:48.453946Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-17T02:23:52.753081Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03605","snapshot_observed_at":"2026-08-08T20:44:48.453946Z","title":"https://resources.nvidia.com/ en-us-blackwell-architecture","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.05003","last_updated":"2025-06-10T18:01:40Z","snapshot_observed_at":"2026-08-08T20:35:33.622207Z","submitted_at":"2025-02-07T15:23:34Z","title":"QuEST: Stable Training of LLMs with 1-Bit Weights and Activations","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T20:44:48.453946Z"},"links":{"cited_paper":"/paper/2404.03605","citing_paper":"/paper/2502.05003"},"observation_digest":"sha256:102413b6201c13e08386270ab2d9c638eb5db651a96973f77707b2eacd5f4212","observation_id":"66eb65f4-4be3-4c6e-bfd7-b0d519b51c49","resolution":{"observed_at":"2026-08-08T20:44:48.453946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03605","snapshot_observed_at":"2026-08-08T15:37:37.499961Z","title":"Mitigating the impact of outlier channels for language model quantization with activation regularization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06415","last_updated":"2025-02-26T01:59:40Z","snapshot_observed_at":"2026-08-08T15:29:19.875570Z","submitted_at":"2025-02-10T12:54:17Z","title":"Systematic Outliers in Large Language Models","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T15:37:37.499961Z"},"links":{"cited_paper":"/paper/2404.03605","citing_paper":"/paper/2502.06415"},"observation_digest":"sha256:8a4991fa7acaf1629b829107a71e9aca52c94dee1c39bcfb3db28ec833be3b40","observation_id":"af7eab10-dba9-414d-b441-8c4cdfbe98f2","resolution":{"observed_at":"2026-08-08T15:37:37.499961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03605","snapshot_observed_at":"2026-08-07T15:41:07.875870Z","title":"Mitigating the impact of outlier channels for language model quantization with activation regularization.arXiv preprint arXiv:2404.03605, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14302","last_updated":"2025-05-20T12:54:43Z","snapshot_observed_at":"2026-08-07T15:43:23.244437Z","submitted_at":"2025-05-20T12:54:43Z","title":"Scaling Law for Quantization-Aware Training","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:41:07.875870Z"},"links":{"cited_paper":"/paper/2404.03605","citing_paper":"/paper/2505.14302"},"observation_digest":"sha256:53c5dcf81755367c60eeb5a5ff6dc418a34d746a3434038cb06599fe460d8001","observation_id":"1eabd452-370b-430c-924e-e12ba898c7e7","resolution":{"observed_at":"2026-08-07T15:41:07.875870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization","version":2},"cited_work":{"arxiv_id":"2404.03605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03605","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization, August 2024","venue":null,"work_id":"2e829c0f-3d20-4ab9-89cf-cd51cec63b75","year":2024},"citing_paper":{"arxiv_id":"2512.02010","last_updated":"2026-05-09T05:39:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-01T18:59:45Z","title":"Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-17T02:23:01.845123Z"},"links":{"cited_paper":"/paper/2404.03605","citing_paper":"/paper/2512.02010"},"observation_digest":"sha256:721dbc082c3be6b4c7b68a1eba8ca8dc0ba3f60b1be682a6307fda149beff2f2","observation_id":"4c2f5fde-58dc-4487-8b00-df59ce45ca8e","resolution":{"observed_at":"2026-05-17T02:23:52.756137Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization","version":2},"cited_work":{"arxiv_id":"2404.03605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03605","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization, August 2024","venue":null,"work_id":"2e829c0f-3d20-4ab9-89cf-cd51cec63b75","year":2024},"citing_paper":{"arxiv_id":"2605.01330","last_updated":"2026-05-02T08:49:51Z","snapshot_observed_at":"2026-07-06T23:14:33.653260Z","submitted_at":"2026-05-02T08:49:51Z","title":"Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-09T14:24:54.946996Z"},"links":{"cited_paper":"/paper/2404.03605","citing_paper":"/paper/2605.01330"},"observation_digest":"sha256:e94c519faec8cdc986b097b2b4f1dc9653126d0fe7ba08d89c79bbebba96cea3","observation_id":"b1f3a281-2d17-4a2a-a66c-2cb5a069e11e","resolution":{"observed_at":"2026-05-11T16:56:07.850150Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.03605/citation-record","integrity":"/paper/2404.03605/integrity","json":"/paper/2404.03605/citation-record.json","paper":"/paper/2404.03605"},"outbound":[],"paper":{"arxiv_id":"2404.03605","last_updated":"2024-08-26T20:48:19Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T21:48:31.671465Z","submitted_at":"2024-04-04T17:25:30Z","title":"Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.03605."}