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Paper Citation Record · LEDGER

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 6 inbound Pith citation observations for arXiv:2507.10616.

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

pith.paper-citation-record.v1
2507.10616 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:52:01.734792Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:21:08.532925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:31:24.957001Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15f1e1a1-4a69-4f00-97d0-79b3a640d466 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Mechanistic Interpretability for AI Safety -- A Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.541750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.541750Z digest=sha256:03618d31f093539d6aa4eec500360bb71b0c10895af20bdb724be76571a54e11

Observation 2275602e-b19f-449a-a49b-510d45f03549 · outbound

This paper cites Iteration Head: A Mechanistic Study of Chain-of-Thought.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Iteration Head: A Mechanistic Study of Chain-of-Thought

Reference 6

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no resolver link, observed 2026-08-06T17:52:01.557005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.557005Z digest=sha256:5f6960b4eac344707f7fb4d2fe1209d1df42aa17ccde0cb1dd6a2f615f69d8cb

Observation 57e9a16c-e03b-40da-99b0-e566e1ccce71 · outbound

This paper cites Rethinking Reflection in Pre-Training.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Rethinking Reflection in Pre-Training

Reference 8

Resolution
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no resolver link, observed 2026-08-06T17:52:01.565519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.565519Z digest=sha256:f3c5cdb35363c2b701ed48b1d14f8d15f5dc6c9912607c295ec5fa1bd12740b3

Observation 58395d0a-9847-4558-8b9d-471c84e687ec · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.569741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.569741Z digest=sha256:7d0440426d419ee6995131cb069b0c916b0332eaf2d93bebd599caffe8d00579

Observation 031badbe-1f1f-4efe-9197-02f111fce574 · outbound

This paper cites Geva, M., Schuster, R., Berant, J., and Levy, O.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Geva, M., Schuster, R., Berant, J., and Levy, O

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.607100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.574371Z digest=sha256:b83c8c63245166eaef8a4c7922dc37a82f2f2cce296631de1efd61a7ebf113bf

Observation 8d97fc5f-7d92-4f99-b5ac-d69f97d2b1b4 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Transformer Feed-Forward Layers Are Key-Value Memories

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.578986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.578986Z digest=sha256:ef15a44aa1c5ac50d4a368c107aab4b78704b382603cea957422d36be7206375

Observation 3daef553-5693-42c1-b2be-dded08610a88 · outbound

This paper cites Gugger, S., Debut, L., Wolf, T., Schmid, P., Mueller, Z., Mangrulkar, S., Sun, M., and Bossan, B.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Gugger, S., Debut, L., Wolf, T., Schmid, P., Mueller, Z., Mangrulkar, S., Sun, M., and Bossan, B

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.594005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.583213Z digest=sha256:647c42002027380cfaebef392834228e59c349097d96ab1148ceed61ed1fea13

Observation aefa57ea-aeb5-415b-8397-01a463fa3bba · outbound

This paper cites Learning to Reason for Long-Form Story Generation.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Learning to Reason for Long-Form Story Generation

Reference 13

Resolution
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no resolver link, observed 2026-08-06T17:52:01.587596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.587596Z digest=sha256:44854fb551d8c20a0a56df3753c14ab0f3eeb209206f7c23615e9d7d4e33a1b0

Observation 08731407-9b6c-4b62-a811-98143761663b · outbound

This paper cites Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

Reference 14

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no resolver link, observed 2026-08-06T17:52:01.591918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.591918Z digest=sha256:1bac57ef46e87a89a5e0fb92af708210c35e66df52e30cfaad05f5fb9a3088ba

Observation 72d2d0e0-4ccc-4476-aece-eaf3603403bf · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Measuring Massive Multitask Language Understanding

Reference 15

Resolution
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no resolver link, observed 2026-08-06T17:52:01.596734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.596734Z digest=sha256:936bd4793f09d059946798a496883a47471ada53ad70536e0ad868a0e3ab0315

Observation bca38365-6914-41bd-8d5e-6f8894086a43 · outbound

This paper cites Huang, Z., Cheng, T., Qiu, Z., Wang, Z., Xu, Y ., Ponti, E.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Huang, Z., Cheng, T., Qiu, Z., Wang, Z., Xu, Y ., Ponti, E

Reference 16

Resolution
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no resolver link, observed 2026-08-06T17:52:01.600906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.600906Z digest=sha256:4e8bea1fa2cc92ebcf0ddabc8476e3b41ddf454ad4e86a8a394cd0f0ad718d51

Observation ea22cde7-d76b-4c3d-afb5-d19f799e5c6d · outbound

This paper cites Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling

Reference 17

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no resolver link, observed 2026-08-06T17:52:01.604834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.604834Z digest=sha256:58676ad76f85c061243734f89c51520b50178ccf5a582b60f6d3dd4f6516fb58

Observation a0f232f5-438e-44be-92f3-47389c9131f5 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

Resolution
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no resolver link, observed 2026-08-06T17:52:01.609100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.609100Z digest=sha256:a54dc5d39656f74ab46b9493839af66fd0293a3041c10fc53517651a67910e64

Observation 3b0fa0d9-b09a-4ac6-8706-3bea129418de · outbound

This paper cites Let's Verify Step by Step.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Let's Verify Step by Step

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.613430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.613430Z digest=sha256:33db53dafbdaa904a943bc9f4500a29c66eba1c30a3a75e189e2aa00650ae9f8

Observation fed83c84-368a-4e0a-9722-2b33a67bb271 · outbound

This paper cites The Llama 3 Herd of Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them The Llama 3 Herd of Models

Reference 20

Resolution
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no resolver link, observed 2026-08-06T17:52:01.617778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.617778Z digest=sha256:60d22f0057bc0b9dd4684641fd59eeb589b59879dae1b971f3eac24d805d76eb

Observation 330fffd6-db9c-4c8a-b5bc-8ed779e39786 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Locating and Editing Factual Associations in GPT

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.622097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.622097Z digest=sha256:49b4956c66e2181bb4d70f554aa1cf437097e0118858491cc277a2ee7dfa8667

Observation 7d84c587-901a-4af9-8ab1-912bad785981 · outbound

This paper cites org/abs/2505.11711.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them org/abs/2505.11711

Reference 22

Resolution
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no resolver link, observed 2026-08-06T17:52:01.626268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.626268Z digest=sha256:e7e5698a10ae229bcf0c1c7d044377e643f60b660ce1177fb8a27bb67a3b5327

Observation 26ffe8c6-2434-40bd-8536-f992215c10bc · outbound

This paper cites OpenAI o1 System Card.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them OpenAI o1 System Card

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.633869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.633869Z digest=sha256:4432693e816b38b879862212b15eb02ebb9f42c43293ea0f1715ff79f6a31c1c

Observation 9de76864-28a6-4bdd-89f3-c44fc9d00bb9 · outbound

This paper cites Prakash, N., Shaham, T.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Prakash, N., Shaham, T

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.566044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.638215Z digest=sha256:83f530e001cc231e75fe926e03b5876760689b15262909b9dd1a3666a2efffd7

Observation 7af43f6a-da75-4816-85b6-e438c219a61a · outbound

This paper cites Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Reference 26

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no resolver link, observed 2026-08-06T17:52:01.642501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.642501Z digest=sha256:462399abb9cada725616b460941451a05b147a8b02ddd25303107b4ac0399dbe

Observation 1ada028b-d9c6-46a9-b952-f09e2fd262f5 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 27

Resolution
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no resolver link, observed 2026-08-06T17:52:01.646838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.646838Z digest=sha256:b75d596b3f3d082d3efa99a84361dd8503fa9924723ad1ab8084af74d989ee0a

Observation 38372a48-07c4-492c-8a09-61d70d6f4f4f · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 28

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no resolver link, observed 2026-08-06T17:52:01.651019Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.651019Z digest=sha256:6530f03d8dd9975acafa8471877f356c598167e14b630cdcd3805355ed48e1f1

Observation 534a4077-01a5-4494-a7a5-bf58eb1145a6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

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no resolver link, observed 2026-08-06T17:52:01.655006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.655006Z digest=sha256:21b6bfc53f618c09fc66bd352c7c06c0960759d19a8a879eaef38ac2a2dd7f6d

Observation 401043c3-2749-44ab-a332-cf595f14b532 · outbound

This paper cites Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models

Reference 30

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no resolver link, observed 2026-08-06T17:52:01.659109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.659109Z digest=sha256:d1772663b75f96ca981cf008037736a890e0accfb894d188fa57426e4e4f91d4

Observation dc56e706-31a6-4160-9c14-1dbfeae88be1 · outbound

This paper cites Optimizing Language Models for Inference Time Objectives using Reinforcement Learning.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Optimizing Language Models for Inference Time Objectives using Reinforcement Learning

Reference 31

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no resolver link, observed 2026-08-06T17:52:01.663454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.663454Z digest=sha256:d6f349da7e6b9bfe314bc81678fa5368db5c807f7a82877f88683cb89ad0d4b7

Observation fa093905-f19a-41f1-8a2d-452069abcbde · outbound

This paper cites 2 OLMo 2 Furious.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them 2 OLMo 2 Furious

Reference 32

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no resolver link, observed 2026-08-06T17:52:01.667668Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.667668Z digest=sha256:ba96ff1a8d11c15a42540d37e3a02abe79b453264710f22745f3ab8d7cca2bae

Observation d0447302-44f7-47e5-92e4-bf6fb966b106 · outbound

This paper cites LLM Circuit Analyses Are Consistent Across Training and Scale.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them LLM Circuit Analyses Are Consistent Across Training and Scale

Reference 33

Resolution
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no resolver link, observed 2026-08-06T17:52:01.671958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.671958Z digest=sha256:c9cb07bcc48941006d5013d93c795b280ad852c48a72f16759d9e65285483111

Observation 0d1d4c40-723c-48b0-92a5-ca7436e0cd66 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.676363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.676363Z digest=sha256:2c294c644974c3096d27d1496a6487a672f742503995612af551804668266484

Observation 600ea502-3724-4313-bc88-ff89b642cfd6 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.680504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.680504Z digest=sha256:153990f2fd907eada23ead29defb1687c81b8ac5abe95cc53259d006d2fda45b

Observation 57ba9d02-d990-4ef2-b027-ec836295e367 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 36

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no resolver link, observed 2026-08-06T17:52:01.684409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.684409Z digest=sha256:69d84b13eb66dd8de8f4107395be081218dbf121603a21672296bd99c096b583

Observation 91d2abdc-f7df-4bb8-b0f2-144860d76688 · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Learning to Reason under Off-Policy Guidance

Reference 37

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no resolver link, observed 2026-08-06T17:52:01.688475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.688475Z digest=sha256:a52b977e6ecc2ed3b98e66cf1f23a3420ce0eb8b349b0e0c2b0adf6238916139

Observation aa625e0e-132a-47e6-85d8-bb3c5d5d49a8 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 38

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no resolver link, observed 2026-08-06T17:52:01.692858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.692858Z digest=sha256:6b0fed772c3b6ea7fe6948f8e3a63eed3fc8190cb952ec7dde07861c261d3c88

Observation 72bd5291-34fa-4321-bfc2-ecbb7b02bac0 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 39

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unresolved
no resolver link, observed 2026-08-06T17:52:01.696842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.696842Z digest=sha256:10075eb5df47b395a12fda1e791bc825bb55f41b619340fd8b4160d2aa2f552f

Observation 6bc7292e-75cf-4773-bb90-8c07c170c430 · outbound

This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 40

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unresolved
no resolver link, observed 2026-08-06T17:52:01.701241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.701241Z digest=sha256:928cee81dd1d7b74abf4827cdcfef60316ae357b82c2c4c118c69d9d3e2b6239

Observation 92339cb4-1015-41e6-a58c-3758845cbf7d · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Instruction-Following Evaluation for Large Language Models

Reference 41

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no resolver link, observed 2026-08-06T17:52:01.705308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.705308Z digest=sha256:591753307e4d8fa03becb27758cbbc7f24eaa097099a3898c769b7f9b7fa2320

Observation 46966d1d-5e86-445c-b6d4-ad28d16f0c43 · outbound

This paper cites an unresolved cited work.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:52:02.552092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.709775Z digest=sha256:3e8f97c85bba06881826e53f583876c064ef884af22d4ee094e024716d07d8ee

Observation b0f3f168-9145-4c8c-af2c-398a45c99ff8 · outbound

This paper cites In the former, the model continuously struggles on many of the questions, while in the latter, the model gradually exhibits much stronger performance.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them In the former, the model continuously struggles on many of the questions, while in the latter, the model gradually exhibits much stronger performance

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.536594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.715146Z digest=sha256:534b00b15b318e4b4b198a04b216a7be643cc12ea08eb40db7714bb736a1e809

Observation d51d9639-f7cc-4a21-a8bc-ff3f3d40ea6b · outbound

This paper cites Note that Shao et al.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Note that Shao et al

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.520350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.719082Z digest=sha256:946b03f37642c76286a594e5ffb32aef44377c39cc88a505fa80f7977dabb24b

Observation 42647dd1-47e2-47b6-aed2-9b2160de499a · outbound

This paper cites an unresolved cited work.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:52:02.506604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.722761Z digest=sha256:43cb5960277f5004290dd536e3ef1043a69b49f2d84c268fe4b596ae3ed086fe

Observation 8f6f5c16-524c-4492-907d-020485f8da59 · outbound

This paper cites system prompt.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them system prompt

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.493208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.726952Z digest=sha256:d55346fa4e448fcc03333e5d3c3d25f6a3b7d95de7a8a993089de61e077dd31b

Observation 388a5d13-e64d-47db-9b9b-bdc517c4fb2a · outbound

This paper cites an unresolved cited work.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:52:02.479269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.730845Z digest=sha256:594f8b69a49344a8626611372237e15f4c632cf9fdd9238a3b60cb17e1a989f3

Observation 5c15a31e-bcc7-4d3d-a602-cba444aba355 · outbound

This paper cites We use the same exact hyperparameters and dataset as Meng et al.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them We use the same exact hyperparameters and dataset as Meng et al

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.465531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.734792Z digest=sha256:2126ca56024186600809f976222c9f944954a0cbeeebe49063217e6e3108a0b4

Observation 07ec9d49-a608-4571-bad1-0d2dff4684cd · outbound

This paper cites Language Models are Few-Shot Learners.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Language Models are Few-Shot Learners

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.550647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.550647Z digest=sha256:7b8c6ebf171ce93f3da1ae71a849df5c15410e84e14f7d2435b881d781e32f02

Observation f1a22faf-31a5-4f70-a710-307f2abda1f2 · outbound

This paper cites EssentialAI, :, Shah, D.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them EssentialAI, :, Shah, D

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.620016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.561547Z digest=sha256:55f1dc96c9c0da431f93f60fcfe7c0e47dea6a1acc9c0073ad1f228967f1fffb

Observation e4b1d23f-2d53-41e8-bed1-3ffa96005d37 · outbound

This paper cites an unresolved cited work.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Unresolved cited work

Reference 2022

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:52:02.579915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.630035Z digest=sha256:7e641addd7225f4847520fde9ec16a4dacb5be9a2dccbc1959b565efd6a70f08

Observation dd1ae8f0-1cf2-4cb6-bdfc-e0bc230b9495 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.546209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.546209Z digest=sha256:e96192abee2d901cc30eaf9c8f0ff318f8862586c56a09049510e2799d65c4ae

Observation d746061d-7f36-4a70-ad54-5efb82cc6032 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:52:01.531978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:52:01.531978Z digest=sha256:345f2ff2e3658882703e4217724382256bc09fc38d8370162ea91915e1761f11

Observation b25e3c51-48d8-48ea-8c84-54e04df4cc25 · outbound

This paper cites Bereska, L.

Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them Bereska, L

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:52:02.633127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:52:01.537146Z digest=sha256:140352b1632aa2298a3186aaafce61e5c2c2a336f80c2d6a5e4ed318d789399f

Pith citing papers

Observation c66237ac-2488-4d6f-ab4d-b9cedacdffed · inbound

Revisiting LLM Reasoning via Information Bottleneck cites this paper.

Revisiting LLM Reasoning via Information Bottleneck Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T18:21:08.532925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:21:08.532925Z digest=sha256:155c87781f1326943da3e9e2d84cc5fca59451382978ad81bd14a1338b71d5a9

Observation da915c00-d435-4c7e-9eec-e2466bc44ada · inbound

Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training cites this paper.

Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:31:24.958893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T13:28:32.093512Z digest=sha256:beba2639aac10035d32200f6847ae14d57000362adfa1877d9b1b81fe017319e

Observation bbe44da7-e415-4b51-972f-25ad4f82d755 · inbound

Value Drifts: Tracing Value Alignment During LLM Post-Training cites this paper.

Value Drifts: Tracing Value Alignment During LLM Post-Training Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-04T07:21:36.979706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:21:36.979706Z digest=sha256:751e48f80d9d680303f41c285e7911075937b8844aafded4c086a4c030c96e50

Observation 6a028c1d-a1f0-43e3-8bb6-79290508172e · inbound

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models cites this paper.

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T20:14:04.093885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:14:04.093885Z digest=sha256:ab2e3359e07e67f074412e14942e36019fb4faba4163e92bc66e5690032aeaea

Observation 669a0cc0-8587-4c91-948b-cb9ebc6c8502 · inbound

TOPCELL: Topology Optimization of Standard Cell via LLMs cites this paper.

TOPCELL: Topology Optimization of Standard Cell via LLMs Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:15:29.308434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T14:13:21.481045Z digest=sha256:e0deeebef69f9728e20b5f593a473daa45834aa7daa1188ea92434760bcbf6a0

Observation e8252faa-6deb-4380-bd1e-95bd3d5eda90 · inbound

Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors cites this paper.

Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors Scalpel vs. Hammer: GRPO Amplifies Existing Capabilities, SFT Replaces Them

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:51:44.090681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T19:05:51.423427Z digest=sha256:3557a1271e43200a3e2c18b927e142a49f54365c99fb414d8a4f72eab9c3c70d