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Paper Citation Record · LEDGER

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards

As of 12 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.03968.

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

pith.paper-citation-record.v1
2606.03968 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:28:11.576647Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

37 of 37 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved22
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06d64da3-bd7a-49dd-9064-a0825d78fbf1 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 1

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metadata mismatch
local_arxiv, observed 2026-07-02T02:56:29.407739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:32cc0fbf3a8b79a7347f6e915c5092fcfc30eda13442651918c3322f90f23878

Observation 1716ce42-1bf3-406e-a2cd-2d01322f88d6 · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:33420b0d37a0a12e92d05d41a5d545015161b4bd149fa18462f2dd76bfe9d0d7

Observation 37f333f5-0407-41ee-a54f-6d43a16a88da · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Advances in Neural Information Processing Systems , volume=

Reference 3

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:81bff54925ae2247b4b042050d9d38c2570637cd57d3bef6cf7bbf094df512bf

Observation af7c8c2d-5bbc-4808-a35f-35a2738226e8 · outbound

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

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 4

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local_arxiv, observed 2026-07-02T02:56:29.413226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:092c6a2ec28f3cda23a4acba3ff4588fca61101f8906a75b42c1fcb380a61b8c

Observation b3c776b5-2423-4a83-803b-efefa4a9e408 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

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verified exact
local_arxiv, observed 2026-07-02T02:56:29.417054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:12d2c50c7ac5efde3736d57f638e8cf825a9baf6f34ad5b98af7e741afa569ec

Observation 361e35a6-76c6-4167-a131-8413bd593bfa · outbound

This paper cites Second Conference on Language Modeling , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Second Conference on Language Modeling , year=

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:5b237cf1c92ceef99b2472abdeb5d9d71195f2b6d08853238b60df6c515f23dc

Observation 79f3e6e2-4947-4c79-ab49-9f8c40782f61 · outbound

This paper cites International Conference on Learning Representations , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards International Conference on Learning Representations , year=

Reference 7

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:1e0a665946a3c211c6e6127d930035b5a5f5559ba19ebe8fa55e00dc0c5caf04

Observation cb44c6b8-65bb-4795-92cd-5d4970eb5e1d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Advances in Neural Information Processing Systems , volume=

Reference 8

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:d8f77127a40381b22238317024df8675682cfcb21544b0898837ecdfb61054ff

Observation 6be73878-8eb7-47d1-839e-507213c340db · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Advances in Neural Information Processing Systems , volume=

Reference 9

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no resolver link, observed 2026-06-28T10:28:11.576647Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:050428e0a486c82f0cc1c1b4706a1b78cfc4f2337df1fa98b06b78d0b25306d4

Observation f9f9bb86-de55-4c3e-805e-16391d0b0cab · outbound

This paper cites Proximal Policy Optimization Algorithms.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Proximal Policy Optimization Algorithms

Reference 10

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local_arxiv, observed 2026-07-02T02:56:29.423384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:27895cb5c9e29c08cc34b4202e3d3d9e2024d49bf24427b34e0659e75aabb2b6

Observation 557975b2-33c5-405b-a94d-823510a624ff · outbound

This paper cites Checklists are all you need for.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Checklists are all you need for

Reference 11

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:32c2f06f77f21b4e140c38f20c1a5deed491629190ebe76bba252def12086e9a

Observation 375ee9a9-407d-4655-92f9-0283bf0639a5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Advances in Neural Information Processing Systems , volume=

Reference 12

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:317b044b7ea062bf6784f68cc9b127c82125e9ca96fa49eec1454c8d6289aaa1

Observation 1de58dc7-da81-4603-a0af-700c7462b0b7 · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 13

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:55dbfb5353ce1bbdf97e431b006d2e73f3c0ff0c082db73ee65c9f9d3a36bafa

Observation 9a6ef9e6-4412-4c3a-ba52-1a00b620f58a · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 14

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no resolver link, observed 2026-06-28T10:28:11.576647Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:8a2b6e157bf6a5d2b97d29beb8c3ab6fd6f4d04b24098c948c6eb4bef514781a

Observation 8db1ffa3-97ca-49c9-830e-cf89db5f2efa · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 15

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parse uncertain
no resolver link, observed 2026-06-28T10:28:11.576647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:5914dff9205984b88d4c51fd59fdd1e5963a8beea431325d015f38eca9cbec3c

Observation 77a147c3-cdc9-443b-b808-b9c58c7debc3 · outbound

This paper cites and Zhang, Hao and Gonzalez, Joseph E.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards and Zhang, Hao and Gonzalez, Joseph E

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:17712e8ac962b6377b4d61065ddf3c0b34b7f4394cf479f9f4a9072671577f1a

Observation 3005972c-2ee8-4876-a2ec-de3ef1e28791 · outbound

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

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Instruction-Following Evaluation for Large Language Models

Reference 17

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local_arxiv, observed 2026-07-02T02:56:29.404464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:f7aa4b967b742e4db50b3e57d32b106b9193ae6e438477ba3320e0e1d148f6b0

Observation bfebfb3f-65eb-422b-9473-e482fd423210 · outbound

This paper cites From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline , booktitle =.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline , booktitle =

Reference 18

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:ba29b94af9bf197553d5d3697dba369a2e3a798d1bb0cffd6e793838e74cf834

Observation ae075f8b-dcae-4153-acc8-cbc07af988fe · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 19

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:f86e966937a7a2b0fcc10d95f04f7529ccb5830a6013508d089ba2d382e50cf2

Observation defb8d7d-7c9f-40ea-b8bc-a42460128445 · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 20

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:e48bb4eb81f6b1c72adf673aae01a64425580cd02dbb75c9115d677205137afa

Observation f13fc7cc-bf9c-4998-ada8-a5ee7475cc45 · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:5c28c4027358fec03c8611e8a7c67905af4696101456678332ed9d4d95fac39d

Observation e05bda4c-243e-49f8-b770-889b56c29157 · outbound

This paper cites an unresolved cited work.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Unresolved cited work

Reference 22

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:37a8a7531bd43a28c8a929a265995249d5d31a898e9945e801391e6611f3722a

Observation 68952e38-7fed-482b-8b85-d701a435c86b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Advances in Neural Information Processing Systems , volume=

Reference 23

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:e53204ee8946cf438c5fac54630ed327909637cc831178459da4f45f8df85b75

Observation e03ad516-79e5-40c6-a69e-d91b10e54d9e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 24

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local_arxiv, observed 2026-07-02T02:56:29.403298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:f52ef9cb51ae431ab47eeeb093bdc98f96f2613a3c6fc586d4aa2302c7babc01

Observation 9e23ad2a-db1b-40c1-8592-d98a5c50d125 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards The Fourteenth International Conference on Learning Representations , year=

Reference 25

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:ce2e1c48bfefd8f6de298924136b8b463c3d64b1fe5304006dc654483b4f275b

Observation 5831c2cd-7e30-440e-b2f7-c23843efaa8d · outbound

This paper cites The Thirteenth International Conference on Learning Representations,.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards The Thirteenth International Conference on Learning Representations,

Reference 26

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:b1f23734ccb5f181116b469617b19a3c0c31c495a68e84ae2883f1138bb0b33b

Observation d2b80d79-bb41-4bf3-a99d-8bf89116c5b8 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 27

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no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:601f80f74dc9fcbea052c16dae411a28d401e0705e95bdbcfc0abf5f6516f5b3

Observation c0048b37-2b4a-456c-abc6-69e169172bce · outbound

This paper cites Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning

Reference 28

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verified exact
arxiv_id, observed 2026-08-04T02:23:17.018487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:026e02e1f65f93addff39eabd7246491b7e1ccc70cbe7a519b4db0f5c590ed64

Observation 7268ab2b-8daa-47d6-ae76-72de9b755719 · outbound

This paper cites Open rubric system: Scaling reinforcement learning with pairwise adaptive rubric.CoRR, abs/2602.14069.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Open rubric system: Scaling reinforcement learning with pairwise adaptive rubric.CoRR, abs/2602.14069

Reference 29

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metadata mismatch
arxiv_id, observed 2026-07-02T02:56:29.419035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:1a2820a544f33fda390d737ecad9a048ea58aff789451fdacd8bf2d72b490dd7

Observation 778eebd3-ea2e-444d-9855-14a36866c302 · outbound

This paper cites Alternating reinforcement learning for rubric-based reward modeling in non-verifiable.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Alternating reinforcement learning for rubric-based reward modeling in non-verifiable

Reference 30

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:df85d5cd6747d0e47987957012b42215b589e5afc7f7811816063a0b806a14cc

Observation 566618c2-1d4d-4459-bb48-fb0fe3a82e7f · outbound

This paper cites DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Reference 31

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metadata mismatch
local_arxiv, observed 2026-07-02T02:56:29.410829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:9eab6b6de271e04d5db03af637c64a80643e59a7960b3a9a1b2b5e66f2478b68

Observation 0d9de1a4-9a80-480a-be37-540a06665f05 · outbound

This paper cites arXiv preprint arXiv:2510.27044 , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards arXiv preprint arXiv:2510.27044 , year=

Reference 32

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verified exact
arxiv_id, observed 2026-07-02T02:56:29.413885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:14e033a0658134374b893f6fd8469e4138805bbe58f649e52b564bb10e2ebe10

Observation db6581a8-a5a4-436a-87df-5756631b8c9c · outbound

This paper cites Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, and Wenhu Chen.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, and Wenhu Chen

Reference 33

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arxiv_id, observed 2026-07-02T02:56:29.427264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:0a90644e6df36484a6bc669c2f92f9b7bf96b11d596e3718a2fa51f1c376f753

Observation a3116a65-6899-4cf1-aea7-4d6c1259bd32 · outbound

This paper cites arXiv preprint arXiv:2601.18533 , year=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards arXiv preprint arXiv:2601.18533 , year=

Reference 34

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arxiv_id, observed 2026-07-02T02:56:29.401958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:b4d53eb9147e36a8af572b2d475b5768e956225363fd44466625d674357c735c

Observation af8b2437-80bd-4e9c-bad2-449aa52cdd59 · outbound

This paper cites Does this image satisfy this rule?.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Does this image satisfy this rule?

Reference 35

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arxiv_id, observed 2026-07-02T02:56:29.395911Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:f26c6c78bc9f455dda60e84b2fe78f0b952b5ae7825f214705435c697712f087

Observation 4f8e58e2-58a4-4a08-950f-7dca9e664cd2 · outbound

This paper cites Reinforcement Learning with Rubric Anchors.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Reinforcement Learning with Rubric Anchors

Reference 36

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arxiv_id, observed 2026-07-02T02:56:29.409752Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:d7ac35fc14a5b64bf02501814a0fdd039b861eb50451170525e7b7368381bcfc

Observation 53dc99bf-10ae-482e-988d-5d64ccaee132 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 37

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unresolved
no resolver link, observed 2026-06-28T10:28:11.576647Z

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source=arxiv_source observed=2026-06-28T10:28:11.576647Z digest=sha256:59ee599562f218872e1c5c0c6841d9ddef197321be7dc90371899fae7af26dba

Pith citing papers

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