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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:13.128277Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:e55a6cdcf1593970a505df43556fad3257362195af194f4ee7819fb4cd09ef77

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:b92da5e6ca5f127bdd87400da72658829d0739b8f1d6952e0369c39ca63e5c3c

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:bc0ec3297dd776e37be117a21e9a9646b4a06e77d469554918b665b7d7fbf3c2

Observation 1e88d015-97c9-42d1-abe1-132fa0ae08f6 · 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 2026-08-07T00:16:35.851356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:16:35.851356Z digest=sha256:bdf2b8c7cb8c0ef839c84760da0ca6a94a6b85d848a76db3354ce8db4922ea1d

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:d7c6fca6df72199c1836815d9932bbda6a7acebda154f126b12a1cf31d500926

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=sha256:2a1336ddb564c21d926ee67adf6277124e8b364b39a56a215632fa2bba1e53aa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:a4ff22e0dca81200433b385d4d611ca80dab8da10457d9400f635e3533d11041

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T06:40:06.103206Z digest=sha256:3f5abddc389baa56f3a2ebd4eca0c42f74eee379453db416804c6dc05b04b037