{"as_of":"2026-08-18T10:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1044adf01f26c294d7f607528d630380da8453c1f3422d9856a17762dfa03261","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T23:56:59.594270Z","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":"2026-05-25T04:35:21.499683Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-08-11T23:06:27.597585Z","title":"Test-time adaptation with clip reward for zero-shot gen- eralization in vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02837","last_updated":"2025-07-31T20:17:23Z","snapshot_observed_at":"2026-08-15T17:28:16.086638Z","submitted_at":"2024-12-03T21:02:14Z","title":"$\\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T23:06:27.597585Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2412.02837"},"observation_digest":"sha256:cb9154d263733fcd0ef498afa1134eba5c0ce235384f20610ba276422884a288","observation_id":"89fd8941-9c3d-4ad8-be36-37eba6574b2c","resolution":{"observed_at":"2026-08-11T23:06:27.597585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-08-09T13:31:23.648287Z","title":"Test-time adaptation with clip reward for zero-shot gen- eralization in vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02069","last_updated":"2025-02-04T07:40:26Z","snapshot_observed_at":"2026-08-11T13:07:16.734951Z","submitted_at":"2025-02-04T07:40:26Z","title":"LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-09T13:31:23.648287Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2502.02069"},"observation_digest":"sha256:884681b04c771c6e0c69951fcb44effe9bd5d26cced805ff0ad564bdf6318504","observation_id":"ef377054-74ec-4d64-bdbb-319de9ee1ab2","resolution":{"observed_at":"2026-08-09T13:31:23.648287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-08-08T17:05:17.757886Z","title":"Test-time adaptation with clip reward for zero-shot gen- eralization in vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06019","last_updated":"2025-02-09T20:25:42Z","snapshot_observed_at":"2026-08-15T20:40:27.713146Z","submitted_at":"2025-02-09T20:25:42Z","title":"Noise is an Efficient Learner for Zero-Shot Vision-Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T17:05:17.757886Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2502.06019"},"observation_digest":"sha256:95f21b1f3f9c29efa5833bac77baedc9c18baf5ae69ca3a8cdd374272aea3b91","observation_id":"454c9955-0255-47fa-882a-2e9bea8ec9eb","resolution":{"observed_at":"2026-08-08T17:05:17.757886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-08-15T23:56:59.594270Z","title":"Test-time adaptation with clip reward for zero-shot generalization in vision-language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03420","last_updated":"2025-05-11T15:47:48Z","snapshot_observed_at":"2026-08-17T18:52:09.727694Z","submitted_at":"2025-05-06T10:55:21Z","title":"Mitigating Image Captioning Hallucinations in Vision-Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:56:59.594270Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2505.03420"},"observation_digest":"sha256:c1b762667b9c9b1ba918c1fa83fbb3d2999fe0bd7e8f6dc2f60084fe93af5887","observation_id":"87f8fbe4-685e-4e72-9017-5a9c1cf87f6f","resolution":{"observed_at":"2026-08-15T23:56:59.594270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2305.18010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2305.18010 , year=","venue":null,"work_id":"e76d2736-3714-4f4c-b476-dbfca496bf3d","year":2023},"citing_paper":{"arxiv_id":"2604.26221","last_updated":"2026-04-29T01:57:21Z","snapshot_observed_at":"2026-08-15T00:14:51.387628Z","submitted_at":"2026-04-29T01:57:21Z","title":"Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-07T13:46:58.151230Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2604.26221"},"observation_digest":"sha256:36464fe7597335d86639e41735a19851a735430c3420a4915431e60e53e096cc","observation_id":"97aed157-de55-4cf2-993b-460a40147207","resolution":{"observed_at":"2026-05-12T08:46:26.711940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":"2305.18010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2305.18010 , year=","venue":null,"work_id":"e76d2736-3714-4f4c-b476-dbfca496bf3d","year":2023},"citing_paper":{"arxiv_id":"2605.23257","last_updated":"2026-05-22T05:59:36Z","snapshot_observed_at":"2026-07-06T23:33:29.550551Z","submitted_at":"2026-05-22T05:59:36Z","title":"Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-25T04:32:07.773122Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2605.23257"},"observation_digest":"sha256:782f36c16703e6a250ec0b3bbc3b9d7a3e2a3b2e9c632c1ae9539fcf8e9ede4e","observation_id":"1b390b0d-af58-4bd9-9156-0d70da7ae3a3","resolution":{"observed_at":"2026-05-25T04:35:21.502385Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.18010","snapshot_observed_at":"2026-08-07T20:37:46.318322Z","title":"arXiv preprint arXiv:2305.18010 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05945","last_updated":"2026-08-06T12:11:53Z","snapshot_observed_at":"2026-08-17T20:16:19.368071Z","submitted_at":"2026-08-06T12:11:53Z","title":"Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T20:37:46.318322Z"},"links":{"cited_paper":"/paper/2305.18010","citing_paper":"/paper/2608.05945"},"observation_digest":"sha256:54aff694a96c6942a5ba5c2a08b95e2f8794c42af37ec2deb727af32d95d6f0d","observation_id":"68a4c455-f8a4-4d0b-8674-89e78ac24ef4","resolution":{"observed_at":"2026-08-07T20:37:46.318322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.18010/citation-record","integrity":"/paper/2305.18010/integrity","json":"/paper/2305.18010/citation-record.json","paper":"/paper/2305.18010"},"outbound":[],"paper":{"arxiv_id":"2305.18010","last_updated":"2024-02-21T06:25:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:28:43.620260Z","submitted_at":"2023-05-29T11:03:59Z","title":"Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.18010."}