{"as_of":"2026-08-08T01:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c94cfbc00faee1f84bf31268bc89d9abd9938b2029c71a1751e0c42c6f71d8ac","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:15:34.275567Z","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":"2026-07-04T03:09:30.195188Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-08-07T13:15:34.275567Z","title":"Schwing, and Alexander Kir- illov","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22209","last_updated":"2025-05-28T10:37:52Z","snapshot_observed_at":"2026-08-07T13:10:24.319252Z","submitted_at":"2025-05-28T10:37:52Z","title":"A Survey on Training-free Open-Vocabulary Semantic Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:15:34.275567Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2505.22209"},"observation_digest":"sha256:b32581aa1ed8798d0dd5cd118e9e17c7f3a16e7006e5a985b4c9a4b0382f8cf7","observation_id":"3a0e4d14-680c-42b5-bb33-d7e04e1ca2f9","resolution":{"observed_at":"2026-08-07T13:15:34.275567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-08-05T20:50:52.526895Z","title":"G.; and Kirillov, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.14087","last_updated":"2025-08-13T15:05:06Z","snapshot_observed_at":"2026-08-05T20:50:45.188921Z","submitted_at":"2025-08-13T15:05:06Z","title":"FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T20:50:52.526895Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2508.14087"},"observation_digest":"sha256:23b22ef7af54ac4612a15365bdbe134f1e447b18b98bcbc0475bba6f121180d2","observation_id":"0285d833-d741-4046-9645-38ae33cce55d","resolution":{"observed_at":"2026-08-05T20:50:52.526895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-08-05T15:17:26.850995Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20092","last_updated":"2025-08-27T17:57:17Z","snapshot_observed_at":"2026-08-06T05:27:49.919438Z","submitted_at":"2025-08-27T17:57:17Z","title":"GLOW: A Unified Particle Flow Transformer","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:17:26.850995Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2508.20092"},"observation_digest":"sha256:b9869bda9288d2be2f9c4b4d03680432f0992547408c11172afd972dd7b7f904","observation_id":"16bcc476-d9b9-4059-8156-4531312eb1e9","resolution":{"observed_at":"2026-08-05T15:17:26.850995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-08-04T17:57:09.319548Z","title":"Per- pixel classification is not all you need for semantic segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.10334","last_updated":"2026-06-08T10:40:53Z","snapshot_observed_at":"2026-08-07T10:09:45.168277Z","submitted_at":"2025-09-12T15:14:19Z","title":"I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T17:57:09.319548Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2509.10334"},"observation_digest":"sha256:cd90655e22d5b312e2f5f8c280136825f748acf82bb784932940390a46f3f59d","observation_id":"8d083fc1-7fdf-4214-8155-d6f61a0b1ec2","resolution":{"observed_at":"2026-08-04T17:57:09.319548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"2107.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-07-04T03:09:30.195188Z","title":"In: Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"7e2f2c81-e252-4fc8-9fc5-01db2913898c","year":2021},"citing_paper":{"arxiv_id":"2604.25072","last_updated":"2026-04-27T23:57:29Z","snapshot_observed_at":"2026-08-05T02:34:39.806032Z","submitted_at":"2026-04-27T23:57:29Z","title":"Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T04:08:41.452018Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2604.25072"},"observation_digest":"sha256:54dcf58ed8767af072d082557165d4fd6f4c09ce6e4017f5b74de6601ec2c5c9","observation_id":"1a1a0234-fbcc-43f6-bc53-f648d97fc3fc","resolution":{"observed_at":"2026-05-11T21:51:18.367378Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"2107.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-07-04T03:09:30.195188Z","title":"In: Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"7e2f2c81-e252-4fc8-9fc5-01db2913898c","year":2021},"citing_paper":{"arxiv_id":"2605.17630","last_updated":"2026-05-19T18:36:14Z","snapshot_observed_at":"2026-08-02T23:17:13.063897Z","submitted_at":"2026-05-17T19:51:32Z","title":"SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T13:51:35.769341Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2605.17630"},"observation_digest":"sha256:274b02c7038d2899db6f8d073ce9e746e0e5874fda863b60e4a0526f4cde2866","observation_id":"673fc802-d62b-4ca3-b88f-29488875c9e9","resolution":{"observed_at":"2026-05-20T13:53:19.800272Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"2107.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-07-04T03:09:30.195188Z","title":"In: Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"7e2f2c81-e252-4fc8-9fc5-01db2913898c","year":2021},"citing_paper":{"arxiv_id":"2605.17630","last_updated":"2026-05-19T18:36:14Z","snapshot_observed_at":"2026-08-02T23:17:13.063897Z","submitted_at":"2026-05-17T19:51:32Z","title":"SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T07:43:28.627414Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2605.17630"},"observation_digest":"sha256:6b9e7e3af0791bead85690369aea8391fc4e074a62beaceb8539c945e08f4c2c","observation_id":"dafb9eb3-c833-4c95-80a2-e4a483f9809d","resolution":{"observed_at":"2026-05-21T07:44:02.829802Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"2107.06278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.06278","snapshot_observed_at":"2026-07-04T03:09:30.195188Z","title":"In: Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"7e2f2c81-e252-4fc8-9fc5-01db2913898c","year":2021},"citing_paper":{"arxiv_id":"2606.20561","last_updated":"2026-06-18T17:59:48Z","snapshot_observed_at":"2026-07-30T08:20:30.484815Z","submitted_at":"2026-06-18T17:59:48Z","title":"TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living","version":1},"reference_index":197,"source":"arxiv_source","source_observed_at":"2026-06-26T18:22:13.147215Z"},"links":{"cited_paper":"/paper/2107.06278","citing_paper":"/paper/2606.20561"},"observation_digest":"sha256:8d84c5e5a05977ab8004e0bbea08b6770213c25a066855331649e16030b21284","observation_id":"a15add62-798b-403d-86ba-b609866141cc","resolution":{"observed_at":"2026-07-04T03:09:30.198024Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.06278/citation-record","integrity":"/paper/2107.06278/integrity","json":"/paper/2107.06278/citation-record.json","paper":"/paper/2107.06278"},"outbound":[],"paper":{"arxiv_id":"2107.06278","last_updated":"2021-10-31T17:41:44Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T11:28:47.290831Z","submitted_at":"2021-07-13T17:59:50Z","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2107.06278."}