Paper Citation Record · LEDGER

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.16122.

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

pith.paper-citation-record.v1
2607.16122 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:20:29.888987Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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verified fuzzy0
unresolved45
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eeaafd01-b6d5-4b49-8ec3-95f5709c72f3 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

Observation eed199f4-f09b-4a45-8de0-21fb09b2ccfc · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.119254Z

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Observation 40aa89b9-cbb8-4809-bbe1-5eb40271648f · outbound

This paper cites Chen, Y.-M.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Chen, Y.-M

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.196490Z

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Observation 61eb5214-4c6c-46bf-865c-77e0460f76e2 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 4

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Observation 2afc72e5-0d8c-4d50-b5bd-fc132986bff7 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 5

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Observation a34144c5-2c9f-4d94-96ad-80d1763c41c8 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.396821Z

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Observation 5a820982-a194-4aa2-ab4d-b878d1d129f2 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.401732Z

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Observation b71bc2f3-9761-4111-b498-3b6d2e53c3f0 · outbound

This paper cites A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.428186Z

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Observation 4a4ea224-9747-48ce-821d-0b235c77735d · outbound

This paper cites The Llama 3 Herd of Models.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.562711Z

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Observation 48a93664-a043-4401-ab41-1a59452092af · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.664394Z

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Observation 2d35437a-b517-422f-b63b-23d67285a79e · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:25.802827Z

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Observation 3587a60d-7312-4fab-b4e1-8ff2bf7e1584 · outbound

This paper cites Hendrycks, C.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Hendrycks, C

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.062140Z

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Observation 7bb55530-7e39-445e-92ef-c8e2f36f37f3 · outbound

This paper cites Holzenberger, A.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Holzenberger, A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.314765Z

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Observation 6a359814-8b44-40fa-af33-8e599bf1e5a2 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.195798Z

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Observation 9db14fd9-c1e3-4899-87c6-d5dc8686203f · outbound

This paper cites Gemma 3 Technical Report.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Gemma 3 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.494751Z

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Observation 8818786e-511a-4ed8-95da-ae1a44bc8cb4 · outbound

This paper cites Islam, A.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Islam, A

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.392634Z

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Observation 090bf821-e32f-4853-b812-dd741b1de6a5 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.727937Z

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Observation ca511cdb-a9b1-4462-9c87-b169a4e16778 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.604759Z

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Observation 34c2a0a1-d160-4f96-95da-73137bf14510 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.026968Z

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Observation c948e65b-be5b-4c02-b8f0-728faa2a9548 · outbound

This paper cites Koreeda and C.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Koreeda and C

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.825972Z

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Observation 58473149-d5a4-4b34-8a6a-b71f8165db69 · outbound

This paper cites doi: 10.18653/v1/2021.findings-emnlp.164.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data doi: 10.18653/v1/2021.findings-emnlp.164

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:26.905563Z

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Observation 84f5df99-0376-44ec-875a-8bc0944af66e · outbound

This paper cites Reward Hacking in Rubric-Based Reinforcement Learning.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Reward Hacking in Rubric-Based Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.402253Z

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Observation ca2f5c48-46ee-4c24-a23d-96cb0662fade · outbound

This paper cites Liang, R.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Liang, R

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.147438Z

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Observation 1b121e1d-0498-4214-a49e-20ac5e497060 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.243513Z

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Observation 27025dbf-4308-4170-81db-0f7f4b548a4f · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.647467Z

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Observation b80988d9-40ed-4407-ab43-ee31576548d9 · outbound

This paper cites Rezaei, R.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Rezaei, R

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.876935Z

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Observation 5eb7f174-fec1-4ca5-99d0-d36c09ec91f4 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 28

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Observation 81ded3b6-25e7-4662-a9d7-7a65e7ae28b2 · outbound

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CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data text-embedding-3-small

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.552725Z

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Observation c62708b8-836c-446d-855e-acfa4b610128 · outbound

This paper cites Srivastava, A.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Srivastava, A

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:28.143621Z

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Observation c72657d9-80a2-48a7-87e5-747387d8ea52 · outbound

This paper cites Clio: Privacy-Preserving Insights into Real-World AI Use.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Clio: Privacy-Preserving Insights into Real-World AI Use

Reference 31

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Observation caed2041-e90a-4d34-9421-5c670e72ce89 · outbound

This paper cites Viswanathan, Y.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Viswanathan, Y

Reference 32

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Observation c5f3fa74-8215-4349-8244-bf0b5f3e5811 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 33

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Observation 55539be8-4d65-4147-9f97-0e3ccb9f4372 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 34

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Observation d69c5ac4-3481-4262-85fd-74251d099c87 · outbound

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CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Qwen3 Technical Report

Reference 35

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CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 36

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CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

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This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

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Observation 9e7cb0b3-109e-45d8-858c-d02a5a089925 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 39

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Observation 1932aacf-d6e6-4dac-8e27-3fc47ae0a690 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:29.652546Z

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Observation 562dde5f-5b65-42cd-a41d-beea6cfef163 · outbound

This paper cites Zheng, N.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Zheng, N

Reference 41

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Observation 31f7c4a8-87fe-44ae-946e-00d26018c848 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

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Observation d6c52398-f9df-42b3-bb89-3e238d07da79 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

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Observation 1be8a02b-0dcb-407e-b69a-3b2bd7c7f835 · outbound

This paper cites Zhang, Z.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Zhang, Z

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:29.456855Z

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Observation bb378d81-5398-49f5-8d62-89538eadc7e0 · outbound

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CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data doi: 10.18653/v1/2023.emnlp-main.153

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T21:20:27.315555Z

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Observation c66014a0-0125-40be-9749-fc12a664ae87 · outbound

This paper cites an unresolved cited work.

CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data Unresolved cited work

Reference 2024

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Pith citing papers

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