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Paper Citation Record · LEDGER

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering

As of 18 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2605.31062.

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

pith.paper-citation-record.v1
2605.31062 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:05:39.499691Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T05:07:40.106099Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T05:16:48.090191Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e25a1180-aebb-41c9-8f9e-0e906350cfa1 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T00:22:51.936792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:bc398ee81d855459944c1c4d5acdcb30033081925590d5edb55f6a6f60b9a67c

Observation efad3e90-50ed-479e-8c58-755ab30c9849 · outbound

This paper cites Overthink: Slowdown attacks on reasoning llms.

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering Overthink: Slowdown attacks on reasoning llms

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T00:22:51.933819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:a775ec43d0b365a886a9215eb2eeb7b27dcf6164ea268159a824bfccf6177560

Observation 680ad4ce-299c-49e5-9125-72348cf0ff8c · outbound

This paper cites InProceed- ings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1417–1436, Abu Dhabi, United Arab Emirates.

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering InProceed- ings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 1417–1436, Abu Dhabi, United Arab Emirates

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T00:22:51.931038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:702fbdb9cdde64da2b69004be1091a8cb4695ce15031ff77a1faa3bdeb9209fb

Observation 341fc86c-d635-4ef7-99b5-0286719e2279 · outbound

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

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-29T00:22:51.939291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:c6eb594908140942c8eace3011a5ef6f930c80eae9ed376dfcedf75474fe95a4

Observation 35ceace5-be86-4b53-8b2d-8a862cac0927 · outbound

This paper cites Denver" or.

AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering Denver" or

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T23:05:39.499691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:99d72afe084327d49fb4a7b4096b196fc00c7bd93f2ac4e435cb070ed4ab89bc

Pith citing papers

Observation cbdb5770-6e00-4341-98d8-226e05c37194 · inbound

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning cites this paper.

Switch-Reasoner: Learn When to Think in Multitask Mixtures via Reinforcement Learning AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-10T05:16:48.091457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-10T05:07:40.106099Z digest=sha256:8949a8f43e9a6ffe6455efb519843f3f29aab9a9eb749f1f45b5d4ba71db53eb