Pith. sign in

Paper Citation Record · LEDGER

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

As of 5 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:41112ab1cb35087c0321cfb50a818a92803d689b0d0575f25e164c8e4c5e8246

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:ea796fc57d09d65853e99076fb241e6414760b7e25c890233ab9f2e1662265cc

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:19a60392b6e7e1493e4b2e97d38836c5b5345c82975565f4387e771c46f31c88

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:05:39.499691Z digest=sha256:ecb082584f07554dfc9b97ea26588eb17d8ce977e71e139a6f5be0d1256426b0

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:f10aca8121f990048230398c214711f22455ad4da298b386ac1b0559aac50ec4

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-10T05:07:40.106099Z digest=sha256:61a982d13e7b1d573bcca18da5003f2fdeecf5558c3309a74cda1a022207a994