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Paper Citation Record · LEDGER

Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.21659.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.21659 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:49.311777Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T06:43:05.908126Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5ee1de2d-fb97-4afc-95a1-da8bec5a4802 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T01:29:57.541153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:2bf652e89af1a769c1beff4458fb6236895d72976373e4492209df73a1c28d47

Observation 08e0a050-fa8c-415b-b2c9-ce9234ff991b · inbound

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning cites this paper.

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:49.311777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:49.311777Z digest=sha256:e01dc6071375d3690984fb9e02eb49ec03a4641952cec0753dba84705cae3d34

Observation a9e77dd1-3aa5-4f47-b355-91ecccc2515c · inbound

VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.

VeriThinker: Learning to Verify Makes Reasoning Model Efficient Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:13.128277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:13.128277Z digest=sha256:e48fe0078b8b7f917479759b4bb1961ffbd3f4e220ae4545561973163c7c7e09

Observation 8b8a7f06-fb79-4d11-822e-3dbd180aeaee · inbound

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:21.637161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:21.637161Z digest=sha256:69fe2ad5b80f2f997f760761d814ab7abab0159309f4f0afe3becb8fdd2962d4

Observation 2e5396e3-7c3b-4415-9f98-5bb060ff807b · inbound

Optimizing Length Compression in Large Reasoning Models cites this paper.

Optimizing Length Compression in Large Reasoning Models Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:12.490313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:56:12.490313Z digest=sha256:e123bc5be5d301a7877343aa052312c8a5bd8420d3f823cdf4b3357817830b22

Observation 00c8ce7c-3dd3-42e8-b0ed-539d688e4a89 · inbound

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control cites this paper.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:56:10.895596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:10.895596Z digest=sha256:3d8c7cd993dfdde312f26f3b274a1df323bc036b0c3018910c350ceb63fdd820

Observation ec397cf8-4ff5-4eb7-a38a-e745357bfe37 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.403889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.403889Z digest=sha256:63e15b2f06770a5268038028e9231bb04cc2f5cf202ed93eb1b09b3a83edc695

Observation 654af3aa-6f2c-41fa-996d-4700f77a7272 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 228

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:06:10.012852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:ad07584ae8f9dcdf6839dcbc7bb4c0f69e46ffe4dc9b4f8e825c4387fcd21bf5

Observation 534beaef-e6af-40f5-af47-b2c56d89a322 · inbound

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning cites this paper.

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:43:05.910044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-20T06:40:06.103206Z digest=sha256:237b099d4c00681b07cda05a376da755905476e3f4e57da4ee544367c5b265d6