{"as_of":"2026-08-21T08:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63fa8c03c5af8d0d31f0f382e93c504a6d2b73b8f887f61836e836f1ce211ff7","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:55:03.138707Z","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":"2026-07-04T15:59:57.454506Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-08-16T10:55:03.138707Z","title":"Dynamic token reduction dur- ing generation for vision language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.17040","last_updated":"2025-05-10T22:42:28Z","snapshot_observed_at":"2026-08-18T15:49:00.345741Z","submitted_at":"2025-04-23T18:38:18Z","title":"DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T10:55:03.138707Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2504.17040"},"observation_digest":"sha256:a97e0c56ffbb337448c82ece10b51db25cca9d8da7dbc25b4d4f5b54cb05d77b","observation_id":"a3fafa79-a736-4180-be21-2d75faebf6c6","resolution":{"observed_at":"2026-08-16T10:55:03.138707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-08-07T00:42:53.653335Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13166","last_updated":"2025-06-16T07:21:11Z","snapshot_observed_at":"2026-08-18T04:15:29.725385Z","submitted_at":"2025-06-16T07:21:11Z","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T00:42:53.653335Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2506.13166"},"observation_digest":"sha256:4012da815a2605bfc325a4ad5734185343c5accf6d7e2f8a886d907d4b1773e7","observation_id":"d7c2a526-d729-4429-b403-e74d6e6bf84a","resolution":{"observed_at":"2026-08-07T00:42:53.653335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-08-06T05:37:35.505014Z","title":"Dynamic token reduction during generation for vision language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01548","last_updated":"2025-08-03T02:15:43Z","snapshot_observed_at":"2026-08-08T11:58:42.307183Z","submitted_at":"2025-08-03T02:15:43Z","title":"A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T05:37:35.505014Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2508.01548"},"observation_digest":"sha256:fa2b78f01c26f91852ed19cdd2e6e62adb893f4df37cf506f2c981a6a0a559a1","observation_id":"9f3a99d5-35ea-412c-bcd6-88b04ee4bffb","resolution":{"observed_at":"2026-08-06T05:37:35.505014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":"2501.14204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-07-04T15:59:57.454506Z","title":"arXiv preprint arXiv:2501.14204 (2025)","venue":null,"work_id":"aadd82ac-83ac-449a-b3b2-9f508ea00452","year":2025},"citing_paper":{"arxiv_id":"2605.25343","last_updated":"2026-05-25T01:57:43Z","snapshot_observed_at":"2026-07-06T23:35:16.647496Z","submitted_at":"2026-05-25T01:57:43Z","title":"Toward Native Multimodal Modeling: A Roadmap","version":1},"reference_index":263,"source":"pdf_text","source_observed_at":"2026-06-29T22:58:38.610609Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2605.25343"},"observation_digest":"sha256:52cc887fbfc16d271abe760c61163501e2a507b76d8d99a7ef1ab995d8d2d319","observation_id":"1c32186c-658f-4b70-a6dd-c9461099595f","resolution":{"observed_at":"2026-06-29T23:04:01.843367Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":"2501.14204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-07-04T15:59:57.454506Z","title":"arXiv preprint arXiv:2501.14204 (2025)","venue":null,"work_id":"aadd82ac-83ac-449a-b3b2-9f508ea00452","year":2025},"citing_paper":{"arxiv_id":"2605.28051","last_updated":"2026-05-27T06:52:08Z","snapshot_observed_at":"2026-08-13T06:30:59.814052Z","submitted_at":"2026-05-27T06:52:08Z","title":"Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T13:07:21.789901Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2605.28051"},"observation_digest":"sha256:720c5a5441babee3a1b4f173cfad777d314645bb062e877882853f66884224f3","observation_id":"40e4419f-b1f4-4722-b120-0e96e6636904","resolution":{"observed_at":"2026-06-29T13:13:27.389323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":"2501.14204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-07-04T15:59:57.454506Z","title":"arXiv preprint arXiv:2501.14204 (2025)","venue":null,"work_id":"aadd82ac-83ac-449a-b3b2-9f508ea00452","year":2025},"citing_paper":{"arxiv_id":"2606.24156","last_updated":"2026-06-23T05:24:50Z","snapshot_observed_at":"2026-08-08T04:43:36.112271Z","submitted_at":"2026-06-23T05:24:50Z","title":"Accelerating Multimodal Large Language Models with Prior-Corrected Token Reduction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-26T01:10:00.373247Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2606.24156"},"observation_digest":"sha256:a9182913eea663a37cf61fb67f6fc3c8634571a11a8a32a5e3edc024601e3e73","observation_id":"d61d493f-74a0-465d-84d3-7c1510aa13fb","resolution":{"observed_at":"2026-07-04T15:59:56.767924Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":"2501.14204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-07-04T15:59:57.454506Z","title":"arXiv preprint arXiv:2501.14204 (2025)","venue":null,"work_id":"aadd82ac-83ac-449a-b3b2-9f508ea00452","year":2025},"citing_paper":{"arxiv_id":"2606.24165","last_updated":"2026-06-23T05:39:52Z","snapshot_observed_at":"2026-08-16T18:47:48.681086Z","submitted_at":"2026-06-23T05:39:52Z","title":"Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-26T01:04:20.802531Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2606.24165"},"observation_digest":"sha256:45436b2a380d9b80c3914aa8df0af84164327b5aefb6fdecb3330258657b42e3","observation_id":"0b4773b2-05ba-4539-94f3-ee157cf48f79","resolution":{"observed_at":"2026-07-04T15:59:57.456505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-07-12T00:17:46.528896Z","title":"Dy- namic Token Reduction During Generation for Vision Language Models.arXiv preprint arXiv:2501.14204, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.03738","last_updated":"2026-07-04T06:53:35Z","snapshot_observed_at":"2026-08-08T15:43:17.288449Z","submitted_at":"2026-07-04T06:53:35Z","title":"Attending to Multimodal Generation One Token at a Time","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-12T00:17:46.528896Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2607.03738"},"observation_digest":"sha256:61e6f4b5f39a7007c34ac0447cdbb5293a66d2c4d8cf1714f668c5562b4353b5","observation_id":"977d2468-8378-4443-8248-fc8081ad1199","resolution":{"observed_at":"2026-07-12T00:17:46.528896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for Vision Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14204","snapshot_observed_at":"2026-08-04T17:18:16.105663Z","title":"Dynamic token reduction during generation for vision language models.arXiv preprint arXiv:2501.14204, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01985","last_updated":"2026-08-03T09:46:32Z","snapshot_observed_at":"2026-08-07T19:51:18.997802Z","submitted_at":"2026-08-03T09:46:32Z","title":"DiffPrune: differentiable information throttling for token pruning in vision-language models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T17:18:16.105663Z"},"links":{"cited_paper":"/paper/2501.14204","citing_paper":"/paper/2608.01985"},"observation_digest":"sha256:b2e17d80e0ce8a39322970c5aea58096a8ebb2a71407be7ba6c34c3ae6bf7e49","observation_id":"905fd507-6e98-444c-8906-6eb1d3ab4734","resolution":{"observed_at":"2026-08-04T17:18:16.105663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.14204/citation-record","integrity":"/paper/2501.14204/integrity","json":"/paper/2501.14204/citation-record.json","paper":"/paper/2501.14204"},"outbound":[],"paper":{"arxiv_id":"2501.14204","last_updated":"2025-01-24T03:20:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T12:38:55.053933Z","submitted_at":"2025-01-24T03:20:37Z","title":"Dynamic Token Reduction during Generation for 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2501.14204."}