{"as_of":"2026-08-07T10:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:527d1a0b3a784fa58e71c14455ac3a4a5aafc2de73d8f8d824719740db3d9327","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:49:39.753920Z","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":"2026-07-02T11:46:55.510633Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-07T05:49:39.753920Z","title":"Think when you need: Self-adaptive chain-of-thought learning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07104","last_updated":"2025-09-10T09:03:04Z","snapshot_observed_at":"2026-08-07T05:39:49.423937Z","submitted_at":"2025-06-08T12:18:50Z","title":"How Far Are We from Optimal Reasoning Efficiency?","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:49:39.753920Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2506.07104"},"observation_digest":"sha256:ad8d76034f1302c61618a402f95738460daee4d4ac56091fb351a4569fe9330b","observation_id":"69f3e7db-693f-42a6-82b8-c1ec8f1dc793","resolution":{"observed_at":"2026-08-07T05:49:39.753920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-06T22:59:46.354179Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.20241","last_updated":"2025-06-25T08:36:12Z","snapshot_observed_at":"2026-08-06T22:50:57.383035Z","submitted_at":"2025-06-25T08:36:12Z","title":"Enhancing Large Language Models through Structured Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:59:46.354179Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2506.20241"},"observation_digest":"sha256:cb78a891fc9c12e373171e08c8239acd94e4dbf2c71e08f0d51662139f241cc6","observation_id":"6dbe2e32-61ce-4993-a8f4-e22562267a1b","resolution":{"observed_at":"2026-08-06T22:59:46.354179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-06T21:45:11.207138Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.23840","last_updated":"2025-06-30T13:30:33Z","snapshot_observed_at":"2026-08-07T09:54:31.000434Z","submitted_at":"2025-06-30T13:30:33Z","title":"Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T21:45:11.207138Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2506.23840"},"observation_digest":"sha256:bcb155f1a16835a826c74342a00e182424a3889473f6c885569b1680d09363a0","observation_id":"db3e6b06-037f-4f10-b78a-d18a448964aa","resolution":{"observed_at":"2026-08-06T21:45:11.207138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-06T17:54:17.949205Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09662","last_updated":"2025-07-13T14:51:59Z","snapshot_observed_at":"2026-08-07T01:15:50.475193Z","submitted_at":"2025-07-13T14:51:59Z","title":"Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey","version":1},"reference_index":219,"source":"arxiv_source","source_observed_at":"2026-08-06T17:54:17.949205Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2507.09662"},"observation_digest":"sha256:e09583147419126828b21e7b5923d57a394593370710108ebce0c0e2241f9d22","observation_id":"431956a3-8727-4bf3-8405-8386535f3cc6","resolution":{"observed_at":"2026-08-06T17:54:17.949205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-06T05:14:37.276706Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.02178","last_updated":"2026-06-29T02:19:28Z","snapshot_observed_at":"2026-08-07T08:59:17.298749Z","submitted_at":"2025-08-04T08:22:14Z","title":"Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T05:14:37.276706Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2508.02178"},"observation_digest":"sha256:46b26abfdb0bc60ea940d13483122732d8ae4802b489e825699cb11de1dbf155","observation_id":"d56244ad-1f16-4143-befb-e77354db10c1","resolution":{"observed_at":"2026-08-06T05:14:37.276706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-06T05:08:11.326869Z","title":"Think when you need: Self-adaptive chain- of-thought learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.02186","last_updated":"2025-08-04T08:31:45Z","snapshot_observed_at":"2026-08-07T08:59:18.880121Z","submitted_at":"2025-08-04T08:31:45Z","title":"Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T05:08:11.326869Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2508.02186"},"observation_digest":"sha256:bc8f42831d27367fe105ffd1cfc2f639fc8afc5a865ee891dd53694cdce2ddb7","observation_id":"ded8afa0-bb66-4199-8e42-bfb85be62ee5","resolution":{"observed_at":"2026-08-06T05:08:11.326869Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-08-04T11:17:49.446341Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.05969","last_updated":"2026-07-19T06:24:18Z","snapshot_observed_at":"2026-08-06T02:31:00.879860Z","submitted_at":"2025-10-07T14:24:32Z","title":"Probing the Difficulty Perception Mechanism of Large Language Models","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T11:17:49.446341Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2510.05969"},"observation_digest":"sha256:002e1d0a2259ff223073f1c649ffb11e06924579d3d77c0c904366480fa1514f","observation_id":"1bbe1eba-007c-449d-b823-5194e0517d3a","resolution":{"observed_at":"2026-08-04T11:17:49.446341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":"2504.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-07-02T11:46:55.510633Z","title":"Ye, C., Yu, Z., Zhang, Z., Chen, H., Sadagopan, N., Huang, J., Zhang, T., and Beniwal, A","venue":null,"work_id":"21e53634-ce7f-42b4-ac52-f9904074ffc7","year":2025},"citing_paper":{"arxiv_id":"2602.06475","last_updated":"2026-05-13T09:12:10Z","snapshot_observed_at":"2026-07-06T22:44:46.690576Z","submitted_at":"2026-02-06T08:03:11Z","title":"Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T07:21:01.335414Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2602.06475"},"observation_digest":"sha256:9b8174d350ba0ab87d4bf64a8e7d101c3e552feb54fe20da1bfa5fe5f41bd984","observation_id":"a4856d94-8cf5-422f-a483-759758445f0e","resolution":{"observed_at":"2026-05-16T07:22:31.150611Z","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":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":"2504.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-07-02T11:46:55.510633Z","title":"Ye, C., Yu, Z., Zhang, Z., Chen, H., Sadagopan, N., Huang, J., Zhang, T., and Beniwal, A","venue":null,"work_id":"21e53634-ce7f-42b4-ac52-f9904074ffc7","year":2025},"citing_paper":{"arxiv_id":"2604.14847","last_updated":"2026-04-16T10:33:00Z","snapshot_observed_at":"2026-07-06T23:02:31.717911Z","submitted_at":"2026-04-16T10:33:00Z","title":"TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T11:45:07.257159Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2604.14847"},"observation_digest":"sha256:c10e19ec6692ca9c87ce137c01b69d4ca6616afbf29dbf2fdfbae8e7438dca6d","observation_id":"5002f8ba-dad7-4d36-9dee-56e9e3c98a5d","resolution":{"observed_at":"2026-05-10T11:45:20.582761Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":"2504.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-07-02T11:46:55.510633Z","title":"Ye, C., Yu, Z., Zhang, Z., Chen, H., Sadagopan, N., Huang, J., Zhang, T., and Beniwal, A","venue":null,"work_id":"21e53634-ce7f-42b4-ac52-f9904074ffc7","year":2025},"citing_paper":{"arxiv_id":"2605.13165","last_updated":"2026-05-13T08:28:05Z","snapshot_observed_at":"2026-07-06T23:24:47.309044Z","submitted_at":"2026-05-13T08:28:05Z","title":"STOP: Structured On-Policy Pruning of Long-Form Reasoning in Low-Data Regimes","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-14T19:25:07.440630Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2605.13165"},"observation_digest":"sha256:c0b952f7fe60baefc4923ab63169546388d7d88a3434196a8ee839b647c54615","observation_id":"4a382e4f-44e7-4fa9-a2dc-53feb34085bc","resolution":{"observed_at":"2026-05-14T19:27:52.063984Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":"2504.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-07-02T11:46:55.510633Z","title":"Ye, C., Yu, Z., Zhang, Z., Chen, H., Sadagopan, N., Huang, J., Zhang, T., and Beniwal, A","venue":null,"work_id":"21e53634-ce7f-42b4-ac52-f9904074ffc7","year":2025},"citing_paper":{"arxiv_id":"2605.30832","last_updated":"2026-05-29T04:37:49Z","snapshot_observed_at":"2026-07-06T23:40:03.151978Z","submitted_at":"2026-05-29T04:37:49Z","title":"SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-28T22:27:30.783923Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2605.30832"},"observation_digest":"sha256:edda14fe38f8d64c1113175c5f5c2cffb7cf73baf3a68c670675fadfcb03a3a9","observation_id":"c58cf186-ca76-4342-8072-f9f4ec8425bf","resolution":{"observed_at":"2026-06-28T22:32:44.383884Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning","version":2},"cited_work":{"arxiv_id":"2504.03234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.03234","snapshot_observed_at":"2026-07-02T11:46:55.510633Z","title":"Ye, C., Yu, Z., Zhang, Z., Chen, H., Sadagopan, N., Huang, J., Zhang, T., and Beniwal, A","venue":null,"work_id":"21e53634-ce7f-42b4-ac52-f9904074ffc7","year":2025},"citing_paper":{"arxiv_id":"2606.05988","last_updated":"2026-06-04T10:30:58Z","snapshot_observed_at":"2026-07-06T23:45:51.910263Z","submitted_at":"2026-06-04T10:30:58Z","title":"Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-28T03:06:43.492669Z"},"links":{"cited_paper":"/paper/2504.03234","citing_paper":"/paper/2606.05988"},"observation_digest":"sha256:26c3e30052c88dcf3a91000950493fb012902e34ab02ba4f0428eba4301e4a59","observation_id":"62b14533-5519-42e3-9de2-9bf2e6c78b18","resolution":{"observed_at":"2026-07-02T11:46:55.512237Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2504.03234/citation-record","integrity":"/paper/2504.03234/integrity","json":"/paper/2504.03234/citation-record.json","paper":"/paper/2504.03234"},"outbound":[],"paper":{"arxiv_id":"2504.03234","last_updated":"2025-05-21T15:26:54Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T21:04:11.067292Z","submitted_at":"2025-04-04T07:34:01Z","title":"Think When You Need: Self-Adaptive Chain-of-Thought Learning"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2504.03234."}