{"as_of":"2026-08-11T17:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ddd04d242984f4fee9cca74469d649fe567eae608fdde40bd91764c3e7f47b27","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:53:55.729176Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2607.18150/citation-record","integrity":"/paper/2607.18150/integrity","json":"/paper/2607.18150/citation-record.json","paper":"/paper/2607.18150"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:53:52.614374Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.614374Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:1520898b907dc656bf987203c80ac23687c94c4efb9bb4f86bcd0f08d0311e53","observation_id":"37c07ad6-add5-41ea-9de1-bc8fd3fc5568","resolution":{"observed_at":"2026-08-01T15:53:52.614374Z","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":"2026-08-01T15:53:52.745000Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.745000Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:b082723af398ba488f09a5067110c0a7d8ecbc52f05e8427fb1362bbb0966977","observation_id":"623e055b-a533-475c-aa93-791a3e550c75","resolution":{"observed_at":"2026-08-01T15:53:52.745000Z","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":"2026-08-01T15:53:52.793554Z","title":"Cheng, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.793554Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:5fa13070a429a58760df1e3aba2c7c8841aa250da1a79876d4b9f7e3ce9a12b6","observation_id":"14fff9d3-21b0-48b9-82d9-c32ed8ee9271","resolution":{"observed_at":"2026-08-01T15:53:52.793554Z","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":"2026-08-01T15:53:52.842061Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.842061Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:f0fba0f5714bfb4d44185c2384290208752accaf8c0ae22394845a5a7ceefff1","observation_id":"80db550e-2dcf-400c-8ab8-c5adafb7c981","resolution":{"observed_at":"2026-08-01T15:53:52.842061Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T15:53:52.888769Z","title":"Han and C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.888769Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:c8dea31ecc5fb51447f15f0793d158a6e40e15b1cf143d6e008060842950f19f","observation_id":"164742e9-55d0-417b-9aee-85eb2dbf746f","resolution":{"observed_at":"2026-08-01T15:53:52.888769Z","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":"2026-08-01T15:53:52.939568Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.939568Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:ced123067a4da7a3012f56bff8c26cc21a7f6de83063b77609c72fc85e650ad6","observation_id":"0dc803b2-901e-4fd1-ae7c-f2c17b8bdc62","resolution":{"observed_at":"2026-08-01T15:53:52.939568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.00149","last_updated":"2016-02-15T06:25:40Z","snapshot_observed_at":"2026-08-04T16:59:47.843960Z","submitted_at":"2015-10-01T09:03:44Z","title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.00149","snapshot_observed_at":"2026-08-01T15:53:52.982013Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:52.982013Z"},"links":{"cited_paper":"/paper/1510.00149","citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:85f43d6b107139c6f39aac0fb996fc7cef1ad59dd9f5e0620069124e05731b0d","observation_id":"f3005f3f-aa20-49fe-827e-477d97f59cf4","resolution":{"observed_at":"2026-08-01T15:53:52.982013Z","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":"2026-08-01T15:53:53.059119Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.059119Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:634ea090f34a0038acec240c80d8ce33478396e799661b2e7b374afbfc4094d3","observation_id":"c1f31af0-473f-47b4-8475-0ef37930c10d","resolution":{"observed_at":"2026-08-01T15:53:53.059119Z","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":"2026-08-01T15:53:53.132912Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.132912Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:25432c3ca3937086747cb4144aa08f8b6cc9469bb227e732227d37a38a0ea426","observation_id":"e4c1337f-347a-4594-896b-1cc17c6d57b1","resolution":{"observed_at":"2026-08-01T15:53:53.132912Z","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":"2026-08-01T15:53:53.201296Z","title":"Jacob, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.201296Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:b0b0dbf460a075d2b794855c652b5ee217128a530245e88e091bf249e066512d","observation_id":"d1149c01-8e04-4f1e-9319-30e5bdaae566","resolution":{"observed_at":"2026-08-01T15:53:53.201296Z","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":"2026-08-01T15:53:53.334356Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.334356Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:eb3ae5d184288a6071acf5fb7a4ca4f4a14115aa83866b7a944cf7d690dbf5dd","observation_id":"eff8bd03-2db1-4b2c-aa05-0bdc5e5479a1","resolution":{"observed_at":"2026-08-01T15:53:53.334356Z","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":"2026-08-01T15:53:53.401986Z","title":"Klacansky","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.401986Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:2658f1755777d02621eb3d6ba34ab3f65a9296dc1572c292111d690732d37828","observation_id":"c140f2db-a654-4b4d-bc8a-68007731a5b5","resolution":{"observed_at":"2026-08-01T15:53:53.401986Z","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":"2026-08-01T15:53:53.474965Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.474965Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:cb7a33608a7b8c47aae88094ae218bbb4b39556d5a2e1f94cd7a2a3c065ac7fc","observation_id":"8493a7b5-f5ef-499f-a8b2-b87d881222d2","resolution":{"observed_at":"2026-08-01T15:53:53.474965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17764","last_updated":"2024-02-27T18:56:19Z","snapshot_observed_at":"2026-08-03T00:59:01.026576Z","submitted_at":"2024-02-27T18:56:19Z","title":"The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17764","snapshot_observed_at":"2026-08-01T15:53:53.548518Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.548518Z"},"links":{"cited_paper":"/paper/2402.17764","citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:87ce249b0a90ce4563605cb436cd00abbf026b6c261bf1212a9604552ed138f3","observation_id":"5a60e36d-94c4-45ce-afba-15144cbbb758","resolution":{"observed_at":"2026-08-01T15:53:53.548518Z","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":"2026-08-01T15:53:53.615039Z","title":"Müller, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.615039Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:905e31e8680dbf438ef6b44b353c90718065f9792689f0ed9f44e7c4d606ca50","observation_id":"aac5ca32-897e-4a35-b375-93151da7320b","resolution":{"observed_at":"2026-08-01T15:53:53.615039Z","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":"2026-08-01T15:53:53.673394Z","title":"Punnappurath and M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.673394Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:f4fb0d700704e4aac5b11c985beb79841454cc52ff2edb2b1826c85b767ac9d0","observation_id":"183b55d6-6a80-4f85-a1e3-3492b85c0ff2","resolution":{"observed_at":"2026-08-01T15:53:53.673394Z","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":"2026-08-01T15:53:53.766997Z","title":"Shin and J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.766997Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:b00b83fd89ed5009da6d328f66be9e9505e35308c647a3fb363187d761f195bf","observation_id":"c217c669-b96f-4360-8697-fa3624d2b25a","resolution":{"observed_at":"2026-08-01T15:53:53.766997Z","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":"2026-08-01T15:53:53.853706Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.853706Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:fe6157dc8129987833d5152e79b1d67116d46b57b83aac357817d0223d40ae6f","observation_id":"995fa421-b923-4e43-ade9-e29ff87f54f4","resolution":{"observed_at":"2026-08-01T15:53:53.853706Z","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":"2026-08-01T15:53:53.938993Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.938993Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:9caa99cc7b4e98c07e4ac6c2dda15b971b23c5725cba0639aa71845b71b464c2","observation_id":"958f4fa7-67af-4c87-9e36-0bc5cd5cab2f","resolution":{"observed_at":"2026-08-01T15:53:53.938993Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T15:53:54.042817Z","title":"Tang and C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.042817Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:1360a4e2757146b424e67c6107dd6c00470c21aed77e5b7e67871cc80f946270","observation_id":"457a4fb8-911d-48c3-bbe5-104a3429f228","resolution":{"observed_at":"2026-08-01T15:53:54.042817Z","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":"10.1016/j.cag.2024.01","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:58:33.315271Z","title":"Tang and C","venue":null,"work_id":"5056a382-df4f-484e-b234-44e0bc6ae250","year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.148966Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:5b2b83eb021b4fcfd4ab42c33276649bca17405912fcc804744500575a26602a","observation_id":"b1b6ed73-faec-4278-85af-e6479d4b9109","resolution":{"observed_at":"2026-08-01T15:58:33.408028Z","resolver_source":"doi","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:53:54.260083Z","title":"Tang and C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.260083Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:2622fbcc74a2ed45c997cbec7b2c478f6040693b8a0a06633c6c07307eb73577","observation_id":"83edeca6-17c0-49d7-aaf6-a94bebe5d2ee","resolution":{"observed_at":"2026-08-01T15:53:54.260083Z","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":"2026-08-01T15:53:54.354455Z","title":"Tang and C","venue":null,"work_id":null,"year":2027},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.354455Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:7155381d9fe53207035d3a03fed805d13bc3d93a0e4cfff2225388d06d87bfd6","observation_id":"ca9e5a01-d299-4ed8-a98f-08de8314d6ff","resolution":{"observed_at":"2026-08-01T15:53:54.354455Z","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":"2026-08-01T15:53:54.451162Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.451162Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:e1b9058cdeb16d5699056e311ab5c589bb56e31cbb08ef1a13733d8879376758","observation_id":"e336fcbf-77a7-460a-b383-17c19391f0df","resolution":{"observed_at":"2026-08-01T15:53:54.451162Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T15:53:54.554522Z","title":"Wang and J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.554522Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:608f60ef0987082dd6557f03f4d7549b5785e73f774acc8c35cca8d5ac238419","observation_id":"0cde1a79-1da6-4d1b-ad9c-8ad383674212","resolution":{"observed_at":"2026-08-01T15:53:54.554522Z","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":"2026-08-01T15:53:54.626742Z","title":"Weiss, P","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.626742Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:c330b84ba2a6d9a42dd2ded1346e31db494001eaa930b2d90b704da8fc5e6695","observation_id":"b8e55ea8-8dee-4d8e-a490-00e79af6ac24","resolution":{"observed_at":"2026-08-01T15:53:54.626742Z","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":"2026-08-01T15:53:54.751187Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.751187Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:3f8e5c8faf5d0ae4de884f6ece657563c589debd5fb967fb5a1e3cbdb2527cec","observation_id":"23d41fbe-de05-4c8e-bc62-656bf6e28b28","resolution":{"observed_at":"2026-08-01T15:53:54.751187Z","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":"2026-08-01T15:53:54.753257Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.753257Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:4f65b8bf0887a865fb23db8192febb5da962a55baf633e12d870dee4bc8a7c2e","observation_id":"bc3d5742-6901-456d-9de0-7dc555c92e81","resolution":{"observed_at":"2026-08-01T15:53:54.753257Z","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":"2026-08-01T15:53:54.779560Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.779560Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:df20435f310aff8399aca0c11140c07489a87ce79e64fe25d5e652bae527be9a","observation_id":"95ac6a1e-ac6e-457c-b129-08dab5f4f8a1","resolution":{"observed_at":"2026-08-01T15:53:54.779560Z","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":"2026-08-01T15:53:55.062853Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:55.062853Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:9ff038517950674a40619a1d497031f5c29aafaab529817aa71761c8644babdd","observation_id":"e16da1e3-7a5b-4b1f-88e2-2d65a5299908","resolution":{"observed_at":"2026-08-01T15:53:55.062853Z","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":"2026-08-01T15:53:55.233585Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:55.233585Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:04b0c6887bcbc2ea646cba5541e5f4570622bf236e260ca11a7043cc763dd3ef","observation_id":"b290038a-186f-4008-8f97-5fd805536b43","resolution":{"observed_at":"2026-08-01T15:53:55.233585Z","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":"2026-08-01T15:53:55.457074Z","title":"Yao and C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:55.457074Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:ceb8bfb66a5379115fc285b8b30d523cf023045c61cdd06775339d0f741b7625","observation_id":"17d113f7-f102-49c6-a052-dab429b48cfc","resolution":{"observed_at":"2026-08-01T15:53:55.457074Z","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":"2026-08-01T15:53:55.605229Z","title":"Yao and C","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:55.605229Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:a0aee0b59a400062b7a128731245f5da38afb25978e6cb65a5600755b8b34ec9","observation_id":"354d14d5-78b1-4973-9340-7942b8b8e2e2","resolution":{"observed_at":"2026-08-01T15:53:55.605229Z","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":"2026-08-01T15:53:55.729176Z","title":"Zhang, P","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:55.729176Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:ac5cc2a41617c9458e0084b0ce28ee6b886737212e1a629045253dc7c05d8efa","observation_id":"6ce8cdc0-2fef-424f-954a-8304d26f67a4","resolution":{"observed_at":"2026-08-01T15:53:55.729176Z","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":"2026-08-01T15:53:53.268023Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:53.268023Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:c28edc10babaddeef3ed706b25de9d50f4cec68a8b11a29de410a33d0902ee5f","observation_id":"0e136a6c-fac5-4d58-9914-0214361b18ec","resolution":{"observed_at":"2026-08-01T15:53:53.268023Z","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":"2026-08-01T15:53:54.694508Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.694508Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:b251edccdd0b1bef4e1cc5bbca57139f9e838c664d7930920faf76ecf87d37d0","observation_id":"d5e86727-319c-4ea3-926f-23e515a29ec7","resolution":{"observed_at":"2026-08-01T15:53:54.694508Z","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":"2026-08-01T15:53:54.919964Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T15:53:54.919964Z"},"links":{"citing_paper":"/paper/2607.18150"},"observation_digest":"sha256:13d2fcc34fd6bc08573cca7481175f83431bd482e27f1923d04118143023b521","observation_id":"1dd13caa-1220-44dc-91ad-d487d679524e","resolution":{"observed_at":"2026-08-01T15:53:54.919964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18150","last_updated":"2026-07-20T16:50:15Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T03:46:42.162753Z","submitted_at":"2026-07-20T16:50:15Z","title":"Lossless-INR: Lossless Volumetric Implicit Neural Representations"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":33,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":37},"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 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.18150."}