Pith. sign in

Paper Citation Record · LEDGER

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.20641.

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

pith.paper-citation-record.v1
2503.20641 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:49.441760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.004239Z

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 0baf9318-dc02-45c4-b54d-e2d0cb351326 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 256

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.768478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:14e5df75f0bd6353fdab3257ca19d1d068c876f865a992b413f8fb7c617d840e

Observation b2b88516-9976-439a-aa1f-6ae32b4257d9 · 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 Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:49.441760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:49.441760Z digest=sha256:4bace980937a24e58cfe164744a20fed41250b7eda1553aef2d29ae105141bfd

Observation 0683c588-922b-45be-8c90-361e48c29c19 · inbound

AdaptThink: Reasoning Models Can Learn When to Think cites this paper.

AdaptThink: Reasoning Models Can Learn When to Think Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:21:29.376519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:21:29.376519Z digest=sha256:0d33e3eeefb0e566a8b76dc6d3cc05a23a50ad5ca932e0c6bf834c10dc63a1ac

Observation b3f68f8b-fa53-436f-93dc-151615958a5f · inbound

Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards cites this paper.

Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:03.004066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:03.004066Z digest=sha256:59cd7a30ad226186c6cf6d95c8333af29931437d14c4758e3e96114d2f03b958

Observation 1afad7da-1f0d-4265-b3ea-2c729940ee0a · inbound

Learning Composable Chains-of-Thought cites this paper.

Learning Composable Chains-of-Thought Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:42.297824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:42.297824Z digest=sha256:bfe766a5b9554cc0f3bd24f473ee2be36090a978317764166646ffba02ebfb32

Observation 7123be22-f343-4591-b8fc-350f7f20fd46 · inbound

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning cites this paper.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:19.669504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:19.669504Z digest=sha256:88cca5c0668eabb3c9daeffdbc4f6467d2391075719f43076d8d674cf5dbcc61

Observation 7d73ab5a-79c6-4af0-9257-b52489e2e304 · inbound

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants cites this paper.

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:46:22.633913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:46:22.633913Z digest=sha256:a0ab1681ce3bef03f82fbc35d035810aecca97125f438091a00dcbc2cd8eccaf

Observation b7e9225e-7221-469c-b540-fcaf5c94295f · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:12.588405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:12.588405Z digest=sha256:407fc439857c02fab05d8ab306d5a80e01bd29fc7c3e5e6ee065ca6f5eb01c13

Observation 60321640-9d35-46df-bd7f-a8b89bb24edb · 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 Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 203

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.864071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.864071Z digest=sha256:9967ee44eb84c606c354e9bfac7f015388b5defa96df7e6c2bc2cd8072cfc7ba

Observation 178cae99-eb4f-45a1-9c87-f08a431ad679 · inbound

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling cites this paper.

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:48:22.954670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:22.954670Z digest=sha256:0509ba855c1a539df391c8c031a80a9e9c32f74dfc61334589133836b782e67a

Observation f3d5fd41-eda2-4055-adc1-979b3f42a4c4 · inbound

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint cites this paper.

Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T23:10:21.374870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:10:21.374870Z digest=sha256:5d2800e646b5654f6f2dd0d3d26726c32653e4fffbbd880b110d4a57df8a56cb

Observation 1f8f8e13-5489-4187-9142-05aeaca121ac · inbound

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression cites this paper.

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:18:01.274611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T17:16:47.284564Z digest=sha256:7fe9e76a7f3229f952dbe4e46c2d8b9ab7c269c4b7ec8928b80426f431d355bb

Observation 769da997-c45d-4c57-b5ca-b69fbe1954b3 · inbound

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs cites this paper.

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:26:10.401670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T09:11:20.733960Z digest=sha256:86cb48cd41ddc01179d34a9f8f73f6e4b97bd8f72aa7b366e726be941315d9a4

Observation d37f5513-0d37-4354-90bf-5b456c5a4655 · inbound

Scalable Token-Level Hallucination Detection in Large Language Models cites this paper.

Scalable Token-Level Hallucination Detection in Large Language Models Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:52:22.412518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T05:49:23.534294Z digest=sha256:4e181b7d133f65cbb8ff088124bb1d0c99072202c31463191d951c709dcb9278

Observation ce2b4be7-395b-429d-8b74-42b815b11757 · inbound

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE cites this paper.

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:13:13.569817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T11:09:22.027588Z digest=sha256:1995b4bd2557be292d81a45ea572e67b14c94364cf6a9be76501189cb2a1d813

Observation 2dea40d5-f75f-4472-a8c0-5cd072c000eb · inbound

RogueMerge: Robust and Unified Attacks against LLM Model Merging cites this paper.

RogueMerge: Robust and Unified Attacks against LLM Model Merging Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:26:29.005982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T10:05:10.309553Z digest=sha256:3473aeecb21cbb1e2c55cf84a58ad2ef0c4d84b6f11242626631a02e331374ed

Observation 30600242-316a-405b-a0ac-4c6a19081cc4 · inbound

Fusion Training for Mathematical Generalization in Large Language Models cites this paper.

Fusion Training for Mathematical Generalization in Large Language Models Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T04:53:35.074701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:53:35.074701Z digest=sha256:0bd21a712814c9cfbafbbd4b0a44daf85384c8030aa4f5a063741cb4db85f43a

Observation 52af8757-cf33-4c91-ba81-cfde3ff8f216 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:17.149786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:24:17.149786Z digest=sha256:d5a3ba79630a56b9d7a27acd54200e2e974c3bdf2997eeb3119e78b3c0967623